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bachelorThesis/figure_8/figure_8.ipynb

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{
"cells": [
{
"cell_type": "code",
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"execution_count": 11,
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"metadata": {},
"outputs": [],
"source": [
"import json\n",
"import sys\n",
"import glob\n",
"import pandas as pd\n",
"import seaborn as sns\n",
"import matplotlib as mpl\n",
"import matplotlib.pyplot as plt\n",
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"import math\n",
"import numpy as np\n",
"import itertools"
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]
},
{
"cell_type": "code",
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"execution_count": 2,
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"metadata": {},
"outputs": [],
"source": [
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"DIR = \"/Users/maggicl/git/bachelorThesis/figure_8/\""
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]
},
{
"cell_type": "code",
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"execution_count": 3,
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"metadata": {},
"outputs": [],
"source": [
"def read_json(cluster, filetype, read_ab, read_cd, read_ef):\n",
" jsondata = None\n",
" with open(DIR + cluster + \"_figure8\" + filetype + \".json\", \"r\") as f:\n",
" jsondata = json.loads(f.read())\n",
" \n",
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" terms = [\"4\",\"5\",\"6\",\"7\"]\n",
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" intervals = range(0, 41)\n",
" \n",
" cd_measures = [0, 0.2, 0.4, 0.6, 0.8, 1]\n",
" measures = set()\n",
" if read_ab:\n",
" measures.add('rcpu')\n",
" measures.add('rram')\n",
" if read_ef:\n",
" measures.add('ucpu')\n",
" measures.add('uram')\n",
" \n",
" dfd = {'term': [], 'measure': [], 'interval': [], 'count': []}\n",
" \n",
" for t in terms:\n",
" for m in measures:\n",
" if jsondata[t][m] is None:\n",
" continue\n",
" for i in intervals:\n",
" dfd[\"term\"].append(int(t))\n",
" dfd[\"measure\"].append(m)\n",
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" dfd[\"interval\"].append(i/40)\n",
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" dfd[\"count\"].append(jsondata[t][m][i])\n",
" if read_cd:\n",
" for m in [\"rscpu\", \"rsram\"]:\n",
" if jsondata[m][t] is None:\n",
" continue\n",
" for i, mi in enumerate(cd_measures):\n",
" dfd[\"term\"].append(int(t))\n",
" dfd[\"measure\"].append(m)\n",
" dfd[\"interval\"].append(mi)\n",
" if len(jsondata[m][t]) == 41 and i != 0:\n",
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" dfd[\"count\"].append(sum([jsondata[m][t][k] for k in range(i, i+8)]))\n",
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" else:\n",
" dfd[\"count\"].append(jsondata[m][t][i])\n",
"\n",
" return pd.DataFrame(dfd, columns=dfd.keys())\n",
"\n",
"dfs = {}\n",
"\n",
"dfs[\"a\"] = pd.concat([read_json(\"a\", \"abef\", True, False, True), read_json(\"a\", \"\", False, True, False)])\n",
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"dft = dfs[\"a\"]\n",
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"for c in \"bcd\":\n",
" dfs[c] = read_json(c, \"abef\", True, False, True)\n",
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" dft = pd.concat([dft, dfs[c]])\n",
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"for c in \"efgh\":\n",
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" dfs[c] = read_json(c, \"ab\", True, False, False) \n",
" dft = pd.concat([dft, dfs[c]])\n",
"for c in \"bef\":\n",
" dfs[c] = pd.concat([dfs[c], read_json(c, \"cd\", False, True, False)])\n",
" dft = pd.concat([dft, dfs[c]])"
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]
},
{
"cell_type": "code",
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"execution_count": 40,
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"metadata": {},
"outputs": [],
"source": [
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"USICOST = 124000000\n",
"\n",
"def chibordo_label(low, high):\n",
" if low == 0:\n",
" return \"<\" + str(high)\n",
" elif high == USICOST:\n",
" return \">=\" + str(low)\n",
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" else:\n",
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" return \"[\" + str(low) + \",\" + str(high) + \")\"\n",
"\n",
"def chibordo(array, x):\n",
" for interval in array:\n",
" if x >= interval[0] and x < interval[1]: \n",
" return chibordo_label(interval[0], interval[1])\n",
"\n",
"def categorical_plot(df, key, title, a, xlabel, cluster, measure):\n",
" df = df[df[\"interval\"] >= 0]\n",
" #df[\"oldinterval\"] = df[\"interval\"]\n",
" df[\"interval\"] = df[\"interval\"].apply(lambda x: chibordo(a, x))\n",
" df = df.groupby([\"term\",\"interval\"]).sum().reset_index()\n",
" totals = df.groupby(\"interval\").sum().reset_index()[[\"interval\", \"count\"]]\n",
" totals = totals.set_index(\"interval\")\n",
" df = df.join(totals, on=\"interval\", rsuffix=\"_total\")\n",
" df[\"count\"] /= df[\"count_total\"].apply(lambda x: 1 if x == 0 else x)\n",
" del df[\"count_total\"]\n",
" if cluster != \"2011\":\n",
" print(df)\n",
" \n",
" xs = [chibordo_label(ea[0], ea[1]) for ea in a]\n",
"\n",
" plt.figure(figsize=(5,4))\n",
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" ax = plt.gca()\n",
" lines = []\n",
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" for t in [4,5,6,7]:\n",
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" ys = []\n",
" for x in xs:\n",
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" y = df[(df.term == t) & (df[key] == x)][\"count\"]\n",
" ys.append(y.values[0] * 100)\n",
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" lines.append(ax.plot(xs,ys, marker='.')[0])\n",
"\n",
" plt.xticks(xs)\n",
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" plt.ylabel(\"Event rate [%]\")\n",
" plt.xlabel(xlabel + \" \" + (\"[NCU]\" if \"CPU\" in xlabel else \"[NMU]\"))\n",
" plt.ylim([-3,103])\n",
" lgd = plt.legend(lines, [\"EVICT\", \"FAIL\", \"FINISH\", \"KILL\"],\n",
" bbox_to_anchor=(1,1), loc=\"upper left\")\n",
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" plt.title(title)\n",
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" plt.savefig('../report/figures/figure_8/%s-%s.pgf' % \n",
" (measure.replace(\"_\", \"\"), cluster), bbox_extra_artists=(lgd,), bbox_inches='tight')\n",
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" plt.show()"
]
},
{
"cell_type": "code",
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"execution_count": 41,
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"metadata": {},
"outputs": [],
"source": [
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"def prepare_plot(cluster, measure,a,df=None):\n",
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" titles = {\n",
" \"rscpu\": \"CPU reservation w.r.t. event rate\",\n",
" \"rsram\": \"Memory reservation w.r.t. event rate\",\n",
" \"rcpu\": \"CPU request w.r.t. event rate\",\n",
" \"rram\": \"Memory request w.r.t. event rate\",\n",
" \"ucpu\": \"CPU utilization w.r.t. event rate\",\n",
" \"uram\": \"Memory utilization w.r.t. event rate\",\n",
" }\n",
" \n",
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" if cluster == \"2011\":\n",
" df = df\n",
" title = \"2011 data\"\n",
" elif cluster == \"all\":\n",
" df = dft\n",
" title = \"2019 data\"\n",
" else:\n",
" df = dfs[cluster]\n",
" title = \"Cluster \" + cluster.upper()\n",
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" df = df[df.measure == measure]\n",
" del df[\"measure\"]\n",
" df = df.sort_values([\"term\", \"interval\"])\n",
" \n",
" \n",
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"\n",
" categorical_plot(df, \"interval\", title, a, titles[measure].split(\" w.r.t\")[0], cluster, measure)"
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]
},
{
"cell_type": "code",
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"execution_count": 42,
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"metadata": {},
"outputs": [
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{
"name": "stdout",
"output_type": "stream",
"text": [
" term interval count\n",
"0 4 <0.025 0.000000\n",
"1 4 >=0.075 0.034869\n",
"2 4 [0.025,0.05) 0.095347\n",
"3 4 [0.05,0.075) 0.097564\n",
"4 5 <0.025 0.000000\n",
"5 5 >=0.075 0.028772\n",
"6 5 [0.025,0.05) 0.051307\n",
"7 5 [0.05,0.075) 0.033664\n",
"8 6 <0.025 0.000000\n",
"9 6 >=0.075 0.030855\n",
"10 6 [0.025,0.05) 0.175568\n",
"11 6 [0.05,0.075) 0.016885\n",
"12 7 <0.025 0.000000\n",
"13 7 >=0.075 0.905504\n",
"14 7 [0.025,0.05) 0.677778\n",
"15 7 [0.05,0.075) 0.851887\n"
]
},
{
"data": {
"image/png": "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
"text/plain": [
"<Figure size 360x288 with 1 Axes>"
]
},
"metadata": {
"needs_background": "light"
},
"output_type": "display_data"
},
{
"name": "stdout",
"output_type": "stream",
"text": [
" term interval count\n",
"0 4 <0.025 0.000000\n",
"1 4 >=0.075 0.119310\n",
"2 4 [0.025,0.05) 0.096360\n",
"3 4 [0.05,0.075) 0.052641\n",
"4 5 <0.025 0.000000\n",
"5 5 >=0.075 0.021589\n",
"6 5 [0.025,0.05) 0.052500\n",
"7 5 [0.05,0.075) 0.005905\n",
"8 6 <0.025 0.000000\n",
"9 6 >=0.075 0.015289\n",
"10 6 [0.025,0.05) 0.154308\n",
"11 6 [0.05,0.075) 0.657504\n",
"12 7 <0.025 0.000000\n",
"13 7 >=0.075 0.843813\n",
"14 7 [0.025,0.05) 0.696833\n",
"15 7 [0.05,0.075) 0.283950\n"
]
},
{
"data": {
"image/png": "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
"text/plain": [
"<Figure size 360x288 with 1 Axes>"
]
},
"metadata": {
"needs_background": "light"
},
"output_type": "display_data"
},
{
"name": "stdout",
"output_type": "stream",
"text": [
" term interval count\n",
"0 4 <0.2 0.204936\n",
"1 4 >=1 0.204259\n",
"2 4 [0.2,0.4) 0.280239\n",
"3 4 [0.4,0.6) 0.243188\n",
"4 4 [0.6,0.8) 0.213767\n",
"5 4 [0.8,1) 0.205417\n",
"6 5 <0.2 0.058212\n",
"7 5 >=1 0.045987\n",
"8 5 [0.2,0.4) 0.064447\n",
"9 5 [0.4,0.6) 0.062171\n",
"10 5 [0.6,0.8) 0.055319\n",
"11 5 [0.8,1) 0.051552\n",
"12 6 <0.2 0.228497\n",
"13 6 >=1 0.347004\n",
"14 6 [0.2,0.4) 0.144899\n",
"15 6 [0.4,0.6) 0.215167\n",
"16 6 [0.6,0.8) 0.269766\n",
"17 6 [0.8,1) 0.314757\n",
"18 7 <0.2 0.508356\n",
"19 7 >=1 0.402750\n",
"20 7 [0.2,0.4) 0.510416\n",
"21 7 [0.4,0.6) 0.479475\n",
"22 7 [0.6,0.8) 0.461149\n",
"23 7 [0.8,1) 0.428274\n"
]
},
{
"data": {
"image/png": "iVBORw0KGgoAAAANSUhEUgAAAZcAAAEWCAYAAACqitpwAAAAOXRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjQuMiwgaHR0cHM6Ly9tYXRwbG90bGliLm9yZy8rg+JYAAAACXBIWXMAAAsTAAALEwEAmpwYAAA8/ElEQVR4nO3de3xU5Z348c93ZnJPgASSAEkg3CIgchG0IFhvqHipl2qttl2sbbW71dVVt9Xabdd1f61ut/efbv1Zq1XrVq1atVZBUVFB0AYREJQ7CIFcuEMSkrl8f3+cM2ESJskkmcnk8n2/Xuc1Z855znOek8t857mc54iqYowxxsSTJ9kFMMYY0/dYcDHGGBN3FlyMMcbEnQUXY4wxcWfBxRhjTNxZcDHGGBN3FlxMjyYid4vIH5NdDmNMx1hwMUknIl8RkXIROSIiu0XkVRGZE8f8S0VERcQXrzwj8s52y/1qvPM2pjez4GKSSkRuA34F/AQoBEYA/wNcmsRiNdNOULoCaADOFZGh3VQkY3o8Cy4maURkIHAPcKOqPq+qtarqV9W/qup3o6Q/U0R2tti2TUTmuuunujWgQyJSJSK/cJO9474ecGsZs9z03xCRT0Rkv4gsFJGREfmqiNwoIhuBjW1cxrXAg8Bq4Gud/FEY0+dYcDHJNAtIB/4Sp/x+DfxaVQcAY4Bn3O2fd18HqWq2qi4TkUuBu4AvAvnAu8CfWuR3GfA5YGK0k7nB6EzgSXeZH6frMKbXs+BikmkwsEdVA3HKzw+MFZEhqnpEVZe3kfYfgXtV9RP3/D8BpkbWXtz9+1S1vpU8/gFYrarrgKeAE0VkWjwuxJjezoKLSaa9wJA4drR/EygDPhWRv4vIxW2kHQn8WkQOiMgBYB8gQFFEmh3tnG8+To0FVa0A3sZpJjOm37PgYpJpGU5n+GUxpq8FMsNvRMSL06QFgKpuVNVrgALgv4BnRSQLiDb19w7g26o6KGLJUNX3ItK0OmW4iJwGjAO+LyKVIlKJ04T2lUSMSjOmt7HgYpJGVQ8CPwIeEJHLRCRTRFJE5AIR+WmUQzYA6SJykYikAP8GpIV3isjXRCRfVUPAAXdzCKhxX0dH5PUgTmA40T12oIh8qQPFvxZ4Hac/Zqq7TAIygAs6kI8xfZJ9wzJJpao/d7/1/xtOE9NhYAXw4yhpD4rId4CHAS/wUyBy9Ng84BcikglsB64O95eIyI+BpW5QmqeqfxGRbOApt5/lIE6w+HN7ZRaRdOAqYL6qVrbY9wRO4PlrB34MxvQ5Yg8LM8YYE2/WLGaMMSbuLLgYY4yJOwsuxhhj4s6CizHGmLjr1aPFhgwZoqWlpckuhjGmj1mxYsUeVc1vP6VpTa8OLqWlpZSXlye7GMaYPkZEtie7DL2dNYsZY4yJu4QFFxF5RESqReTjiG15IvK6iGx0X3Pd7SIivxGRTSKyWkROTlS5jDHGJF4iay5/wLljOtKdwBuqOg54w30PznQZ49zlBuC3CSyXMcaYBEtYn4uqviMipS02X4rz/AuAx4DFwB3u9sfVmS5guYgMEpFhqro7UeUzxpiOWLFiRYHP53sYZw65/t6lEAI+DgQC35o+fXp1tATd3aFfGBEwKnEeawvONOeR05vvdLdZcDHG9Ag+n+/hoUOHTsjPz9/v8Xj69bxZoVBIampqJlZWVj4MXBItTdKir1tL6fAvSERucB9lW15TU5OAkhljTFST8vPzD/X3wALg8Xg0Pz//IE4tLnqabiwPQJWIDANwX8PVqQqgJCJdsbvtOKr6kKrOUNUZ+fk2DN0Y0208FliOcX8WrcaQ7g4uL3HsSX3XAi9GbJ/vjhqbCRy0/hZjjOm9EtbnIiJ/wum8HyIiO4F/B+4DnhGRb+I8b+MqN/krwIXAJqAOuC5R5TLGmN7K6/VOHzduXH34/Re/+MV9DQ0NcvToUc8DDzzQ1Nrz3nvvZXzta18bvWXLlrVFRUUnlZeXfzJs2LDAZ5995vvOd74zYtWqVZkDBgwIDhkyxH/fffdVXHfddaMAdu/enZqdnR3MyckJ5uXlBd57770NnS1rIkeLXdPKrnOipFXgxkSVxRhj+oK0tLTQp59+ui5y2+rVq9MuvPDCssjg8sc//jHvi1/84r7IdKFQiEsuuWTsV77ylb0vv/zyFoBly5ZlHDx40BvO84orrii9+OKLD1533XX7u1rWXj39izHG9GRLNu3JWrppT87ssUMOzxk7pDYR55g8eXLDwIEDA2+++WbW2WefXQvw0ksv5b366qvNah0vv/xyjs/n0+9973tNI6FmzZpV3zK/eLHgYowxHfTdZ1eVbKg8nNlWmtqGgGfzntpMVXjw7c2MGZJVl5XmC7WWvmxoTt1/XzllR2v7ARoaGjzjx4+fGH5/++23777++uv3X3HFFfuefPLJvLPPPrv2jTfeyBo0aFDgpJNOaog8dvXq1RlTpkypi/Uau8qCizHGJMCRhoAv/BR5Ved9VpqvsSt5RmsWA5g/f/6+OXPmTAgGgzuefPLJvCuuuGJftOO7kwUXY4zpoPZqGOA0iX3jD38vCwRDHp/XE/rZVVO3JKppbOzYsf7i4uKGV155JeeVV17JXbp06Sct05x00kn1L7zwQm4izh9Nf5/CwBhjEmLO2CG1j3z9lA3fPmNMxSNfP2VDogJL2Je+9KV93/3ud0tKSkoaxowZ42+5/wtf+MLhxsZG+dnPfjYkvO3999/PWLBgQXYiymPBxRhjEmTO2CG1d8wbXxmvwBLucwkv3/nOd4rC++bPn79/06ZN6V/60peiNol5PB5eeumlzW+++eaAkpKSSWPHjj3xjjvuKCoqKjouEMWDNYsZY0wvEQwGV7S2b9iwYYFAIPBhy+0VFRVrwuulpaX+V155ZUtreTz33HPbulxIl9VcjDHGxJ0FF2OMMXFnwcUYY0zcWXAxxhgTdxZcjDHGxJ0FF2OMMXFnwcUYY3oJr9c7PfI+l/Xr16cC3HPPPQVpaWkn79271xtO+/LLL+ecddZZYwF+85vfDJ4/f/6I7iyr3edijDG9RGtziz377LN5kyZNqv3jH/846JZbbtmbjLK1ZDUXY4xJlC2Ls1h091C2LM5K1CnWrl2bVldX573nnnsqnnnmmbxEnaejrOZijDEd9cKNJVSva3PKfRqOeNi7MRMUlvwKBo+rIy271Sn3KZhYx2UPxDzlfklJScPrr7+++fHHH8+9/PLL982bN+/I9ddfn75jxw5fSUlJoBNXFVcWXIwxJhEaD/vAnXMfdd6nZcd9yv3nn39+8PPPP7/J6/Vy4YUX7n/iiSdy77rrrprW8uguFlyMMaaj2qlhAE6T2JNXlRHye/CkhLj8wS2MPjOuMyN/8MEHGdu3b0+bN29eGYDf75fi4uJGCy7GGNNXjT6zlq8+s4Eti3MYfebheAcWgMcffzzv9ttv33XvvfdWhrcVFRWdtGHDhtR4n6ujrEPfGGMSZfSZtcy9uzIRgQXghRdeyLvqqqsORG674IIL9j/22GPHdew/++yzgwsLCyeHl82bN6ckokxhouHncPZCM2bM0PLy8mQXwxjTx4jIClWdEblt1apV26ZMmbInWWXqiVatWjVkypQppdH2Wc3FGGNM3FlwMcYYE3cWXIwxxsSdBRdjjDFxZ8HFGGNM3FlwMcYYE3cWXIwxppeINuV+y6n1PR7P9Pfffz8jfMy4ceNODE/NX1RUdNLu3bt9AHfcccfQsWPHnlhWVjZx/PjxE998880sgFNPPfWEd955p2netPXr16eOGzfuxI6W1e7QN8aYXiLa3GIbN25Mi3xfWFjYeM899wz729/+tqW1fBYtWpS1cOHCQWvWrFmXkZGhu3fv9jU0NEg8y2o1F2OMSZDlu5Zn/WrFr4Yu37U8YVPut3TOOecc3LBhQ8aqVavSWktTUVGRkpeXF8jIyFCAYcOGBUpLS/3xLIfVXIwxpoN+uPSHJZv2b2pzyv1af61n26FtmYryyMePUDqgtC4rJavVKffH5o6t+8/Z/9nhKfdbpvF4PNxyyy2V//Ef/zHs+eef3xYtn8suu+zQvffeO7y
"text/plain": [
"<Figure size 360x288 with 1 Axes>"
]
},
"metadata": {
"needs_background": "light"
},
"output_type": "display_data"
},
{
"name": "stdout",
"output_type": "stream",
"text": [
" term interval count\n",
"0 4 <0.2 0.204936\n",
"1 4 >=1 0.165210\n",
"2 4 [0.2,0.4) 0.239466\n",
"3 4 [0.4,0.6) 0.228508\n",
"4 4 [0.6,0.8) 0.188827\n",
"5 4 [0.8,1) 0.160894\n",
"6 5 <0.2 0.058212\n",
"7 5 >=1 0.037751\n",
"8 5 [0.2,0.4) 0.073245\n",
"9 5 [0.4,0.6) 0.064343\n",
"10 5 [0.6,0.8) 0.052677\n",
"11 5 [0.8,1) 0.041929\n",
"12 6 <0.2 0.228497\n",
"13 6 >=1 0.482098\n",
"14 6 [0.2,0.4) 0.143800\n",
"15 6 [0.4,0.6) 0.215247\n",
"16 6 [0.6,0.8) 0.333230\n",
"17 6 [0.8,1) 0.467823\n",
"18 7 <0.2 0.508356\n",
"19 7 >=1 0.314941\n",
"20 7 [0.2,0.4) 0.543490\n",
"21 7 [0.4,0.6) 0.491902\n",
"22 7 [0.6,0.8) 0.425266\n",
"23 7 [0.8,1) 0.329354\n"
]
},
{
"data": {
"image/png": "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
"text/plain": [
"<Figure size 360x288 with 1 Axes>"
]
},
"metadata": {
"needs_background": "light"
},
"output_type": "display_data"
},
{
"name": "stdout",
"output_type": "stream",
"text": [
" term interval count\n",
"0 4 <0.2 0.095017\n",
"1 4 >=1 0.042735\n",
"2 4 [0.2,0.4) 0.017634\n",
"3 4 [0.4,0.6) 0.001944\n",
"4 4 [0.6,0.8) 0.008328\n",
"5 4 [0.8,1) 0.015936\n",
"6 5 <0.2 0.050756\n",
"7 5 >=1 0.094017\n",
"8 5 [0.2,0.4) 0.008651\n",
"9 5 [0.4,0.6) 0.003042\n",
"10 5 [0.6,0.8) 0.014734\n",
"11 5 [0.8,1) 0.039841\n",
"12 6 <0.2 0.170910\n",
"13 6 >=1 0.307692\n",
"14 6 [0.2,0.4) 0.023777\n",
"15 6 [0.4,0.6) 0.005831\n",
"16 6 [0.6,0.8) 0.008969\n",
"17 6 [0.8,1) 0.035857\n",
"18 7 <0.2 0.683317\n",
"19 7 >=1 0.555556\n",
"20 7 [0.2,0.4) 0.949938\n",
"21 7 [0.4,0.6) 0.989183\n",
"22 7 [0.6,0.8) 0.967969\n",
"23 7 [0.8,1) 0.908367\n"
]
},
{
"data": {
"image/png": "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
"text/plain": [
"<Figure size 360x288 with 1 Axes>"
]
},
"metadata": {
"needs_background": "light"
},
"output_type": "display_data"
},
{
"name": "stdout",
"output_type": "stream",
"text": [
" term interval count\n",
"0 4 <0.2 0.094982\n",
"1 4 >=1 0.000000\n",
"2 4 [0.2,0.4) 0.047504\n",
"3 4 [0.4,0.6) 0.027027\n",
"4 4 [0.6,0.8) 0.000000\n",
"5 4 [0.8,1) 0.000000\n",
"6 5 <0.2 0.050737\n",
"7 5 >=1 0.000000\n",
"8 5 [0.2,0.4) 0.042745\n",
"9 5 [0.4,0.6) 0.117838\n",
"10 5 [0.6,0.8) 0.000000\n",
"11 5 [0.8,1) 1.000000\n",
"12 6 <0.2 0.170839\n",
"13 6 >=1 0.000000\n",
"14 6 [0.2,0.4) 0.240274\n",
"15 6 [0.4,0.6) 0.734054\n",
"16 6 [0.6,0.8) 0.991453\n",
"17 6 [0.8,1) 0.000000\n",
"18 7 <0.2 0.683442\n",
"19 7 >=1 0.000000\n",
"20 7 [0.2,0.4) 0.669477\n",
"21 7 [0.4,0.6) 0.121081\n",
"22 7 [0.6,0.8) 0.008547\n",
"23 7 [0.8,1) 0.000000\n"
]
},
{
"data": {
"image/png": "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
"text/plain": [
"<Figure size 360x288 with 1 Axes>"
]
},
"metadata": {
"needs_background": "light"
},
"output_type": "display_data"
},
{
"name": "stdout",
"output_type": "stream",
"text": [
" term interval count\n",
"0 4 <0.025 0.000000\n",
"1 4 >=0.075 0.010560\n",
"2 4 [0.025,0.05) 0.063749\n",
"3 4 [0.05,0.075) 0.025979\n",
"4 5 <0.025 0.000000\n",
"5 5 >=0.075 0.015929\n",
"6 5 [0.025,0.05) 0.005648\n",
"7 5 [0.05,0.075) 0.027476\n",
"8 6 <0.025 0.000000\n",
"9 6 >=0.075 0.056526\n",
"10 6 [0.025,0.05) 0.071749\n",
"11 6 [0.05,0.075) 0.035046\n",
"12 7 <0.025 0.000000\n",
"13 7 >=0.075 0.916984\n",
"14 7 [0.025,0.05) 0.858854\n",
"15 7 [0.05,0.075) 0.911499\n"
]
},
{
"data": {
"image/png": "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
"text/plain": [
"<Figure size 360x288 with 1 Axes>"
]
},
"metadata": {
"needs_background": "light"
},
"output_type": "display_data"
},
{
"name": "stdout",
"output_type": "stream",
"text": [
" term interval count\n",
"0 4 <0.025 0.000000\n",
"1 4 >=0.075 0.011622\n",
"2 4 [0.025,0.05) 0.063079\n",
"3 4 [0.05,0.075) 0.002371\n",
"4 5 <0.025 0.000000\n",
"5 5 >=0.075 0.019831\n",
"6 5 [0.025,0.05) 0.006679\n",
"7 5 [0.05,0.075) 0.003832\n",
"8 6 <0.025 0.000000\n",
"9 6 >=0.075 0.254700\n",
"10 6 [0.025,0.05) 0.062970\n",
"11 6 [0.05,0.075) 0.344004\n",
"12 7 <0.025 0.000000\n",
"13 7 >=0.075 0.713847\n",
"14 7 [0.025,0.05) 0.867271\n",
"15 7 [0.05,0.075) 0.649793\n"
]
},
{
"data": {
"image/png": "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
"text/plain": [
"<Figure size 360x288 with 1 Axes>"
]
},
"metadata": {
"needs_background": "light"
},
"output_type": "display_data"
},
{
"name": "stdout",
"output_type": "stream",
"text": [
" term interval count\n",
"0 4 <0.2 0.484178\n",
"1 4 >=1 0.033715\n",
"2 4 [0.2,0.4) 0.018396\n",
"3 4 [0.4,0.6) 0.020030\n",
"4 4 [0.6,0.8) 0.024413\n",
"5 4 [0.8,1) 0.028645\n",
"6 5 <0.2 0.002669\n",
"7 5 >=1 0.006702\n",
"8 5 [0.2,0.4) 0.003091\n",
"9 5 [0.4,0.6) 0.003969\n",
"10 5 [0.6,0.8) 0.004933\n",
"11 5 [0.8,1) 0.005798\n",
"12 6 <0.2 0.510103\n",
"13 6 >=1 0.859634\n",
"14 6 [0.2,0.4) 0.923506\n",
"15 6 [0.4,0.6) 0.914358\n",
"16 6 [0.6,0.8) 0.898182\n",
"17 6 [0.8,1) 0.879677\n",
"18 7 <0.2 0.003050\n",
"19 7 >=1 0.099949\n",
"20 7 [0.2,0.4) 0.055007\n",
"21 7 [0.4,0.6) 0.061643\n",
"22 7 [0.6,0.8) 0.072472\n",
"23 7 [0.8,1) 0.085880\n"
]
},
{
"data": {
"image/png": "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
"text/plain": [
"<Figure size 360x288 with 1 Axes>"
]
},
"metadata": {
"needs_background": "light"
},
"output_type": "display_data"
},
{
"name": "stdout",
"output_type": "stream",
"text": [
" term interval count\n",
"0 4 <0.2 0.484178\n",
"1 4 >=1 0.031792\n",
"2 4 [0.2,0.4) 0.018807\n",
"3 4 [0.4,0.6) 0.020889\n",
"4 4 [0.6,0.8) 0.024126\n",
"5 4 [0.8,1) 0.027791\n",
"6 5 <0.2 0.002669\n",
"7 5 >=1 0.005866\n",
"8 5 [0.2,0.4) 0.002855\n",
"9 5 [0.4,0.6) 0.003576\n",
"10 5 [0.6,0.8) 0.004402\n",
"11 5 [0.8,1) 0.005247\n",
"12 6 <0.2 0.510103\n",
"13 6 >=1 0.864200\n",
"14 6 [0.2,0.4) 0.924062\n",
"15 6 [0.4,0.6) 0.911879\n",
"16 6 [0.6,0.8) 0.896663\n",
"17 6 [0.8,1) 0.880848\n",
"18 7 <0.2 0.003050\n",
"19 7 >=1 0.098142\n",
"20 7 [0.2,0.4) 0.054276\n",
"21 7 [0.4,0.6) 0.063656\n",
"22 7 [0.6,0.8) 0.074809\n",
"23 7 [0.8,1) 0.086115\n"
]
},
{
"data": {
"image/png": "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
"text/plain": [
"<Figure size 360x288 with 1 Axes>"
]
},
"metadata": {
"needs_background": "light"
},
"output_type": "display_data"
},
{
"name": "stdout",
"output_type": "stream",
"text": [
" term interval count\n",
"0 4 <0.2 0.061518\n",
"1 4 >=1 0.021767\n",
"2 4 [0.2,0.4) 0.003318\n",
"3 4 [0.4,0.6) 0.000737\n",
"4 4 [0.6,0.8) 0.002505\n",
"5 4 [0.8,1) 0.016427\n",
"6 5 <0.2 0.006661\n",
"7 5 >=1 0.267606\n",
"8 5 [0.2,0.4) 0.004625\n",
"9 5 [0.4,0.6) 0.002637\n",
"10 5 [0.6,0.8) 0.005636\n",
"11 5 [0.8,1) 0.032854\n",
"12 6 <0.2 0.070059\n",
"13 6 >=1 0.407170\n",
"14 6 [0.2,0.4) 0.122830\n",
"15 6 [0.4,0.6) 0.341025\n",
"16 6 [0.6,0.8) 0.351284\n",
"17 6 [0.8,1) 0.451745\n",
"18 7 <0.2 0.861761\n",
"19 7 >=1 0.303457\n",
"20 7 [0.2,0.4) 0.869227\n",
"21 7 [0.4,0.6) 0.655600\n",
"22 7 [0.6,0.8) 0.640576\n",
"23 7 [0.8,1) 0.498973\n"
]
},
{
"data": {
"image/png": "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
"text/plain": [
"<Figure size 360x288 with 1 Axes>"
]
},
"metadata": {
"needs_background": "light"
},
"output_type": "display_data"
},
{
"name": "stdout",
"output_type": "stream",
"text": [
" term interval count\n",
"0 4 <0.2 0.061511\n",
"1 4 >=1 0.000000\n",
"2 4 [0.2,0.4) 0.002478\n",
"3 4 [0.4,0.6) 0.012262\n",
"4 4 [0.6,0.8) 0.000000\n",
"5 4 [0.8,1) 0.000000\n",
"6 5 <0.2 0.006661\n",
"7 5 >=1 0.000000\n",
"8 5 [0.2,0.4) 0.003745\n",
"9 5 [0.4,0.6) 0.006812\n",
"10 5 [0.6,0.8) 0.052632\n",
"11 5 [0.8,1) 0.250000\n",
"12 6 <0.2 0.070073\n",
"13 6 >=1 0.000000\n",
"14 6 [0.2,0.4) 0.146582\n",
"15 6 [0.4,0.6) 0.294278\n",
"16 6 [0.6,0.8) 0.000000\n",
"17 6 [0.8,1) 0.000000\n",
"18 7 <0.2 0.861756\n",
"19 7 >=1 0.000000\n",
"20 7 [0.2,0.4) 0.847195\n",
"21 7 [0.4,0.6) 0.686649\n",
"22 7 [0.6,0.8) 0.947368\n",
"23 7 [0.8,1) 0.750000\n"
]
},
Notebook done for figure 8
2021-04-17 10:50:40 +00:00
{
"data": {
report work
2021-05-30 14:42:13 +00:00
"image/png": "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
Notebook done for figure 8
2021-04-17 10:50:40 +00:00
"text/plain": [
report work
2021-05-30 14:42:13 +00:00
"<Figure size 360x288 with 1 Axes>"
Notebook done for figure 8
2021-04-17 10:50:40 +00:00
]
},
"metadata": {
"needs_background": "light"
},
"output_type": "display_data"
},
report work
2021-05-30 14:42:13 +00:00
{
"name": "stdout",
"output_type": "stream",
"text": [
" term interval count\n",
"0 4 <0.025 0.000000\n",
"1 4 >=0.075 0.029742\n",
"2 4 [0.025,0.05) 0.047295\n",
"3 4 [0.05,0.075) 0.009998\n",
"4 5 <0.025 0.000000\n",
"5 5 >=0.075 0.037111\n",
"6 5 [0.025,0.05) 0.029460\n",
"7 5 [0.05,0.075) 0.035456\n",
"8 6 <0.025 0.000000\n",
"9 6 >=0.075 0.025731\n",
"10 6 [0.025,0.05) 0.070144\n",
"11 6 [0.05,0.075) 0.002510\n",
"12 7 <0.025 0.000000\n",
"13 7 >=0.075 0.907416\n",
"14 7 [0.025,0.05) 0.853101\n",
"15 7 [0.05,0.075) 0.952035\n"
]
},
{
"data": {
"image/png": "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
"text/plain": [
"<Figure size 360x288 with 1 Axes>"
]
},
"metadata": {
"needs_background": "light"
},
"output_type": "display_data"
},
{
"name": "stdout",
"output_type": "stream",
"text": [
" term interval count\n",
"0 4 <0.025 0.000000\n",
"1 4 >=0.075 0.001346\n",
"2 4 [0.025,0.05) 0.047113\n",
"3 4 [0.05,0.075) 0.002540\n",
"4 5 <0.025 0.000000\n",
"5 5 >=0.075 0.001198\n",
"6 5 [0.025,0.05) 0.031890\n",
"7 5 [0.05,0.075) 0.003751\n",
"8 6 <0.025 0.000000\n",
"9 6 >=0.075 0.006335\n",
"10 6 [0.025,0.05) 0.059349\n",
"11 6 [0.05,0.075) 0.213957\n",
"12 7 <0.025 0.000000\n",
"13 7 >=0.075 0.991121\n",
"14 7 [0.025,0.05) 0.861648\n",
"15 7 [0.05,0.075) 0.779752\n"
]
},
Notebook done for figure 8
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{
"data": {
report work
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"image/png": "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
Notebook done for figure 8
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"text/plain": [
report work
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"<Figure size 360x288 with 1 Axes>"
Notebook done for figure 8
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]
},
"metadata": {
"needs_background": "light"
},
"output_type": "display_data"
},
report work
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{
"name": "stdout",
"output_type": "stream",
"text": [
" term interval count\n",
"0 4 <0.2 0.044215\n",
"1 4 >=1 0.243542\n",
"2 4 [0.2,0.4) 0.007127\n",
"3 4 [0.4,0.6) 0.001332\n",
"4 4 [0.6,0.8) 0.004004\n",
"5 4 [0.8,1) 0.007267\n",
"6 5 <0.2 0.030016\n",
"7 5 >=1 0.228782\n",
"8 5 [0.2,0.4) 0.008684\n",
"9 5 [0.4,0.6) 0.001476\n",
"10 5 [0.6,0.8) 0.010919\n",
"11 5 [0.8,1) 0.021802\n",
"12 6 <0.2 0.064417\n",
"13 6 >=1 0.073801\n",
"14 6 [0.2,0.4) 0.049155\n",
"15 6 [0.4,0.6) 0.004202\n",
"16 6 [0.6,0.8) 0.006005\n",
"17 6 [0.8,1) 0.014535\n",
"18 7 <0.2 0.861351\n",
"19 7 >=1 0.453875\n",
"20 7 [0.2,0.4) 0.935034\n",
"21 7 [0.4,0.6) 0.992990\n",
"22 7 [0.6,0.8) 0.979072\n",
"23 7 [0.8,1) 0.956395\n"
]
},
Notebook done for figure 8
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{
"data": {
report work
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"image/png": "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
Notebook done for figure 8
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"text/plain": [
report work
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"<Figure size 360x288 with 1 Axes>"
Notebook done for figure 8
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]
},
"metadata": {
"needs_background": "light"
},
"output_type": "display_data"
},
report work
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{
"name": "stdout",
"output_type": "stream",
"text": [
" term interval count\n",
"0 4 <0.2 0.044209\n",
"1 4 >=1 0.000000\n",
"2 4 [0.2,0.4) 0.002618\n",
"3 4 [0.4,0.6) 0.001380\n",
"4 4 [0.6,0.8) 0.000000\n",
"5 4 [0.8,1) 0.000000\n",
"6 5 <0.2 0.030014\n",
"7 5 >=1 0.000000\n",
"8 5 [0.2,0.4) 0.002591\n",
"9 5 [0.4,0.6) 0.008795\n",
"10 5 [0.6,0.8) 0.014790\n",
"11 5 [0.8,1) 0.000000\n",
"12 6 <0.2 0.064434\n",
"13 6 >=1 0.000000\n",
"14 6 [0.2,0.4) 0.004604\n",
"15 6 [0.4,0.6) 0.002625\n",
"16 6 [0.6,0.8) 0.068200\n",
"17 6 [0.8,1) 0.000000\n",
"18 7 <0.2 0.861343\n",
"19 7 >=1 0.000000\n",
"20 7 [0.2,0.4) 0.990187\n",
"21 7 [0.4,0.6) 0.987199\n",
"22 7 [0.6,0.8) 0.917009\n",
"23 7 [0.8,1) 1.000000\n"
]
},
Notebook done for figure 8
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{
"data": {
report work
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"image/png": "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
Notebook done for figure 8
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"text/plain": [
report work
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"<Figure size 360x288 with 1 Axes>"
Notebook done for figure 8
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]
},
"metadata": {
"needs_background": "light"
},
"output_type": "display_data"
},
report work
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{
"name": "stdout",
"output_type": "stream",
"text": [
" term interval count\n",
"0 4 <0.025 0.000000\n",
"1 4 >=0.075 0.029307\n",
"2 4 [0.025,0.05) 0.053770\n",
"3 4 [0.05,0.075) 0.029428\n",
"4 5 <0.025 0.000000\n",
"5 5 >=0.075 0.106184\n",
"6 5 [0.025,0.05) 0.011875\n",
"7 5 [0.05,0.075) 0.033198\n",
"8 6 <0.025 0.000000\n",
"9 6 >=0.075 0.025815\n",
"10 6 [0.025,0.05) 0.152311\n",
"11 6 [0.05,0.075) 0.011892\n",
"12 7 <0.025 0.000000\n",
"13 7 >=0.075 0.838694\n",
"14 7 [0.025,0.05) 0.782044\n",
"15 7 [0.05,0.075) 0.925483\n"
]
},
Notebook done for figure 8
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{
"data": {
report work
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"image/png": "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
Notebook done for figure 8
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"text/plain": [
report work
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"<Figure size 360x288 with 1 Axes>"
Notebook done for figure 8
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]
},
"metadata": {
"needs_background": "light"
},
"output_type": "display_data"
},
report work
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{
"name": "stdout",
"output_type": "stream",
"text": [
" term interval count\n",
"0 4 <0.025 0.000000\n",
"1 4 >=0.075 0.003620\n",
"2 4 [0.025,0.05) 0.056683\n",
"3 4 [0.05,0.075) 0.001973\n",
"4 5 <0.025 0.000000\n",
"5 5 >=0.075 0.017849\n",
"6 5 [0.025,0.05) 0.013247\n",
"7 5 [0.05,0.075) 0.008222\n",
"8 6 <0.025 0.000000\n",
"9 6 >=0.075 0.003230\n",
"10 6 [0.025,0.05) 0.128545\n",
"11 6 [0.05,0.075) 0.541109\n",
"12 7 <0.025 0.000000\n",
"13 7 >=0.075 0.975300\n",
"14 7 [0.025,0.05) 0.801525\n",
"15 7 [0.05,0.075) 0.448697\n"
]
},
Notebook done for figure 8
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{
"data": {
report work
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"image/png": "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
Notebook done for figure 8
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"text/plain": [
report work
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"<Figure size 360x288 with 1 Axes>"
Notebook done for figure 8
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]
},
"metadata": {
"needs_background": "light"
},
"output_type": "display_data"
},
report work
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{
"name": "stdout",
"output_type": "stream",
"text": [
" term interval count\n",
"0 4 <0.2 0.052978\n",
"1 4 >=1 0.117318\n",
"2 4 [0.2,0.4) 0.031766\n",
"3 4 [0.4,0.6) 0.010123\n",
"4 4 [0.6,0.8) 0.019171\n",
"5 4 [0.8,1) 0.107492\n",
"6 5 <0.2 0.013065\n",
"7 5 >=1 0.634519\n",
"8 5 [0.2,0.4) 0.006756\n",
"9 5 [0.4,0.6) 0.013371\n",
"10 5 [0.6,0.8) 0.124894\n",
"11 5 [0.8,1) 0.530130\n",
"12 6 <0.2 0.147831\n",
"13 6 >=1 0.169656\n",
"14 6 [0.2,0.4) 0.034686\n",
"15 6 [0.4,0.6) 0.013352\n",
"16 6 [0.6,0.8) 0.014096\n",
"17 6 [0.8,1) 0.012215\n",
"18 7 <0.2 0.786126\n",
"19 7 >=1 0.078506\n",
"20 7 [0.2,0.4) 0.926792\n",
"21 7 [0.4,0.6) 0.963154\n",
"22 7 [0.6,0.8) 0.841838\n",
"23 7 [0.8,1) 0.350163\n"
]
},
Notebook done for figure 8
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{
"data": {
report work
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"image/png": "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
Notebook done for figure 8
2021-04-17 10:50:40 +00:00
"text/plain": [
report work
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"<Figure size 360x288 with 1 Axes>"
Notebook done for figure 8
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]
},
"metadata": {
"needs_background": "light"
},
"output_type": "display_data"
},
report work
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{
"name": "stdout",
"output_type": "stream",
"text": [
" term interval count\n",
"0 4 <0.2 0.052984\n",
"1 4 >=1 0.000000\n",
"2 4 [0.2,0.4) 0.011100\n",
"3 4 [0.4,0.6) 0.007429\n",
"4 4 [0.6,0.8) 0.039252\n",
"5 4 [0.8,1) 0.222222\n",
"6 5 <0.2 0.013068\n",
"7 5 >=1 0.000000\n",
"8 5 [0.2,0.4) 0.006068\n",
"9 5 [0.4,0.6) 0.004240\n",
"10 5 [0.6,0.8) 0.001869\n",
"11 5 [0.8,1) 0.111111\n",
"12 6 <0.2 0.147829\n",
"13 6 >=1 0.000000\n",
"14 6 [0.2,0.4) 0.008326\n",
"15 6 [0.4,0.6) 0.029831\n",
"16 6 [0.6,0.8) 0.000000\n",
"17 6 [0.8,1) 0.000000\n",
"18 7 <0.2 0.786120\n",
"19 7 >=1 0.000000\n",
"20 7 [0.2,0.4) 0.974507\n",
"21 7 [0.4,0.6) 0.958500\n",
"22 7 [0.6,0.8) 0.958879\n",
"23 7 [0.8,1) 0.666667\n"
]
},
Notebook done for figure 8
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{
"data": {
report work
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"image/png": "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
Notebook done for figure 8
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"text/plain": [
report work
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"<Figure size 360x288 with 1 Axes>"
Notebook done for figure 8
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]
},
"metadata": {
"needs_background": "light"
},
"output_type": "display_data"
},
report work
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{
"name": "stdout",
"output_type": "stream",
"text": [
" term interval count\n",
"0 4 <0.025 0.000000\n",
"1 4 >=0.075 0.028977\n",
"2 4 [0.025,0.05) 0.014899\n",
"3 4 [0.05,0.075) 0.010970\n",
"4 5 <0.025 0.000000\n",
"5 5 >=0.075 0.035397\n",
"6 5 [0.025,0.05) 0.011481\n",
"7 5 [0.05,0.075) 0.008717\n",
"8 6 <0.025 0.000000\n",
"9 6 >=0.075 0.170067\n",
"10 6 [0.025,0.05) 0.007413\n",
"11 6 [0.05,0.075) 0.184418\n",
"12 7 <0.025 0.000000\n",
"13 7 >=0.075 0.765559\n",
"14 7 [0.025,0.05) 0.966207\n",
"15 7 [0.05,0.075) 0.795895\n"
]
},
Notebook done for figure 8
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{
"data": {
report work
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"image/png": "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
Notebook done for figure 8
2021-04-17 10:50:40 +00:00
"text/plain": [
report work
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"<Figure size 360x288 with 1 Axes>"
Notebook done for figure 8
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]
},
"metadata": {
"needs_background": "light"
},
"output_type": "display_data"
},
report work
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{
"name": "stdout",
"output_type": "stream",
"text": [
" term interval count\n",
"0 4 <0.025 0.000000\n",
"1 4 >=0.075 0.003031\n",
"2 4 [0.025,0.05) 0.015234\n",
"3 4 [0.05,0.075) 0.005270\n",
"4 5 <0.025 0.000000\n",
"5 5 >=0.075 0.002668\n",
"6 5 [0.025,0.05) 0.011374\n",
"7 5 [0.05,0.075) 0.038322\n",
"8 6 <0.025 0.000000\n",
"9 6 >=0.075 0.196690\n",
"10 6 [0.025,0.05) 0.019510\n",
"11 6 [0.05,0.075) 0.039520\n",
"12 7 <0.025 0.000000\n",
"13 7 >=0.075 0.797611\n",
"14 7 [0.025,0.05) 0.953881\n",
"15 7 [0.05,0.075) 0.916888\n"
]
},
Notebook done for figure 8
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{
"data": {
report work
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"image/png": "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
Notebook done for figure 8
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"text/plain": [
report work
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"<Figure size 360x288 with 1 Axes>"
Notebook done for figure 8
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]
},
"metadata": {
"needs_background": "light"
},
"output_type": "display_data"
},
report work
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{
"name": "stdout",
"output_type": "stream",
"text": [
" term interval count\n",
"0 4 <0.2 0.010811\n",
"1 4 >=1 0.218224\n",
"2 4 [0.2,0.4) 0.246379\n",
"3 4 [0.4,0.6) 0.234563\n",
"4 4 [0.6,0.8) 0.229167\n",
"5 4 [0.8,1) 0.222852\n",
"6 5 <0.2 0.000000\n",
"7 5 >=1 0.029258\n",
"8 5 [0.2,0.4) 0.015034\n",
"9 5 [0.4,0.6) 0.015458\n",
"10 5 [0.6,0.8) 0.017386\n",
"11 5 [0.8,1) 0.027765\n",
"12 6 <0.2 0.765766\n",
"13 6 >=1 0.055720\n",
"14 6 [0.2,0.4) 0.021260\n",
"15 6 [0.4,0.6) 0.027401\n",
"16 6 [0.6,0.8) 0.035859\n",
"17 6 [0.8,1) 0.045272\n",
"18 7 <0.2 0.223423\n",
"19 7 >=1 0.696798\n",
"20 7 [0.2,0.4) 0.717326\n",
"21 7 [0.4,0.6) 0.722577\n",
"22 7 [0.6,0.8) 0.717588\n",
"23 7 [0.8,1) 0.704111\n"
]
},
Notebook done for figure 8
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{
"data": {
report work
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"image/png": "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
Notebook done for figure 8
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"text/plain": [
report work
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"<Figure size 360x288 with 1 Axes>"
Notebook done for figure 8
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]
},
"metadata": {
"needs_background": "light"
},
"output_type": "display_data"
},
report work
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{
"name": "stdout",
"output_type": "stream",
"text": [
" term interval count\n",
"0 4 <0.2 0.010811\n",
"1 4 >=1 0.176043\n",
"2 4 [0.2,0.4) 0.220347\n",
"3 4 [0.4,0.6) 0.207082\n",
"4 4 [0.6,0.8) 0.198083\n",
"5 4 [0.8,1) 0.186599\n",
"6 5 <0.2 0.000000\n",
"7 5 >=1 0.033139\n",
"8 5 [0.2,0.4) 0.022097\n",
"9 5 [0.4,0.6) 0.025125\n",
"10 5 [0.6,0.8) 0.026569\n",
"11 5 [0.8,1) 0.031773\n",
"12 6 <0.2 0.765766\n",
"13 6 >=1 0.225855\n",
"14 6 [0.2,0.4) 0.083061\n",
"15 6 [0.4,0.6) 0.118644\n",
"16 6 [0.6,0.8) 0.155590\n",
"17 6 [0.8,1) 0.190720\n",
"18 7 <0.2 0.223423\n",
"19 7 >=1 0.564963\n",
"20 7 [0.2,0.4) 0.674495\n",
"21 7 [0.4,0.6) 0.649149\n",
"22 7 [0.6,0.8) 0.619759\n",
"23 7 [0.8,1) 0.590908\n"
]
},
Notebook done for figure 8
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{
"data": {
report work
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"image/png": "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
Notebook done for figure 8
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"text/plain": [
report work
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"<Figure size 360x288 with 1 Axes>"
Notebook done for figure 8
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]
},
"metadata": {
"needs_background": "light"
},
"output_type": "display_data"
},
report work
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{
"name": "stdout",
"output_type": "stream",
"text": [
" term interval count\n",
"0 4 <0.025 0.000000\n",
"1 4 >=0.075 0.096662\n",
"2 4 [0.025,0.05) 0.067471\n",
"3 4 [0.05,0.075) 0.023231\n",
"4 5 <0.025 0.000000\n",
"5 5 >=0.075 0.020373\n",
"6 5 [0.025,0.05) 0.010190\n",
"7 5 [0.05,0.075) 0.012379\n",
"8 6 <0.025 0.000000\n",
"9 6 >=0.075 0.054822\n",
"10 6 [0.025,0.05) 0.066611\n",
"11 6 [0.05,0.075) 0.043860\n",
"12 7 <0.025 0.000000\n",
"13 7 >=0.075 0.828143\n",
"14 7 [0.025,0.05) 0.855727\n",
"15 7 [0.05,0.075) 0.920530\n"
]
},
Notebook done for figure 8
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{
"data": {
report work
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"image/png": "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
Notebook done for figure 8
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"text/plain": [
report work
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"<Figure size 360x288 with 1 Axes>"
Notebook done for figure 8
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]
},
"metadata": {
"needs_background": "light"
},
"output_type": "display_data"
},
report work
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{
"name": "stdout",
"output_type": "stream",
"text": [
" term interval count\n",
"0 4 <0.025 0.000000\n",
"1 4 >=0.075 0.058221\n",
"2 4 [0.025,0.05) 0.066502\n",
"3 4 [0.05,0.075) 0.016463\n",
"4 5 <0.025 0.000000\n",
"5 5 >=0.075 0.003014\n",
"6 5 [0.025,0.05) 0.010755\n",
"7 5 [0.05,0.075) 0.007057\n",
"8 6 <0.025 0.000000\n",
"9 6 >=0.075 0.069035\n",
"10 6 [0.025,0.05) 0.057736\n",
"11 6 [0.05,0.075) 0.279824\n",
"12 7 <0.025 0.000000\n",
"13 7 >=0.075 0.869730\n",
"14 7 [0.025,0.05) 0.865007\n",
"15 7 [0.05,0.075) 0.696656\n"
]
},
Notebook done for figure 8
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{
"data": {
report work
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"image/png": "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
Notebook done for figure 8
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"text/plain": [
report work
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"<Figure size 360x288 with 1 Axes>"
Notebook done for figure 8
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]
},
"metadata": {
"needs_background": "light"
},
"output_type": "display_data"
},
report work
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{
"name": "stdout",
"output_type": "stream",
"text": [
" term interval count\n",
"0 4 <0.2 0.398895\n",
"1 4 >=1 0.154125\n",
"2 4 [0.2,0.4) 0.149082\n",
"3 4 [0.4,0.6) 0.148567\n",
"4 4 [0.6,0.8) 0.151059\n",
"5 4 [0.8,1) 0.151352\n",
"6 5 <0.2 0.014917\n",
"7 5 >=1 0.055493\n",
"8 5 [0.2,0.4) 0.054390\n",
"9 5 [0.4,0.6) 0.054167\n",
"10 5 [0.6,0.8) 0.054299\n",
"11 5 [0.8,1) 0.054222\n",
"12 6 <0.2 0.477348\n",
"13 6 >=1 0.160638\n",
"14 6 [0.2,0.4) 0.147097\n",
"15 6 [0.4,0.6) 0.154194\n",
"16 6 [0.6,0.8) 0.157030\n",
"17 6 [0.8,1) 0.159054\n",
"18 7 <0.2 0.108840\n",
"19 7 >=1 0.629744\n",
"20 7 [0.2,0.4) 0.649432\n",
"21 7 [0.4,0.6) 0.643072\n",
"22 7 [0.6,0.8) 0.637612\n",
"23 7 [0.8,1) 0.635371\n"
]
},
Notebook done for figure 8
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{
"data": {
report work
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"image/png": "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
Notebook done for figure 8
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"text/plain": [
report work
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"<Figure size 360x288 with 1 Axes>"
Notebook done for figure 8
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]
},
"metadata": {
"needs_background": "light"
},
"output_type": "display_data"
},
report work
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{
"name": "stdout",
"output_type": "stream",
"text": [
" term interval count\n",
"0 4 <0.2 0.398895\n",
"1 4 >=1 0.153082\n",
"2 4 [0.2,0.4) 0.153537\n",
"3 4 [0.4,0.6) 0.153362\n",
"4 4 [0.6,0.8) 0.153449\n",
"5 4 [0.8,1) 0.154420\n",
"6 5 <0.2 0.014917\n",
"7 5 >=1 0.053978\n",
"8 5 [0.2,0.4) 0.056889\n",
"9 5 [0.4,0.6) 0.054492\n",
"10 5 [0.6,0.8) 0.053878\n",
"11 5 [0.8,1) 0.054132\n",
"12 6 <0.2 0.477348\n",
"13 6 >=1 0.160185\n",
"14 6 [0.2,0.4) 0.146569\n",
"15 6 [0.4,0.6) 0.156027\n",
"16 6 [0.6,0.8) 0.159494\n",
"17 6 [0.8,1) 0.160445\n",
"18 7 <0.2 0.108840\n",
"19 7 >=1 0.632756\n",
"20 7 [0.2,0.4) 0.643006\n",
"21 7 [0.4,0.6) 0.636120\n",
"22 7 [0.6,0.8) 0.633179\n",
"23 7 [0.8,1) 0.631003\n"
]
},
Notebook done for figure 8
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{
"data": {
report work
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"image/png": "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
Notebook done for figure 8
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"text/plain": [
report work
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"<Figure size 360x288 with 1 Axes>"
Notebook done for figure 8
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]
},
"metadata": {
"needs_background": "light"
},
"output_type": "display_data"
},
report work
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{
"name": "stdout",
"output_type": "stream",
"text": [
" term interval count\n",
"0 4 <0.025 0.000000\n",
"1 4 >=0.075 0.027186\n",
"2 4 [0.025,0.05) 0.035338\n",
"3 4 [0.05,0.075) 0.026020\n",
"4 5 <0.025 0.000000\n",
"5 5 >=0.075 0.004862\n",
"6 5 [0.025,0.05) 0.015667\n",
"7 5 [0.05,0.075) 0.005701\n",
"8 6 <0.025 0.000000\n",
"9 6 >=0.075 0.229969\n",
"10 6 [0.025,0.05) 0.252464\n",
"11 6 [0.05,0.075) 0.091298\n",
"12 7 <0.025 0.000000\n",
"13 7 >=0.075 0.737982\n",
"14 7 [0.025,0.05) 0.696531\n",
"15 7 [0.05,0.075) 0.876981\n"
]
},
Notebook done for figure 8
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{
"data": {
report work
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"image/png": "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
Notebook done for figure 8
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"text/plain": [
report work
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"<Figure size 360x288 with 1 Axes>"
Notebook done for figure 8
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]
},
"metadata": {
"needs_background": "light"
},
"output_type": "display_data"
},
report work
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{
"name": "stdout",
"output_type": "stream",
"text": [
" term interval count\n",
"0 4 <0.025 0.000000\n",
"1 4 >=0.075 0.015596\n",
"2 4 [0.025,0.05) 0.036546\n",
"3 4 [0.05,0.075) 0.003716\n",
"4 5 <0.025 0.000000\n",
"5 5 >=0.075 0.153019\n",
"6 5 [0.025,0.05) 0.014370\n",
"7 5 [0.05,0.075) 0.022820\n",
"8 6 <0.025 0.000000\n",
"9 6 >=0.075 0.397037\n",
"10 6 [0.025,0.05) 0.225826\n",
"11 6 [0.05,0.075) 0.807378\n",
"12 7 <0.025 0.000000\n",
"13 7 >=0.075 0.434348\n",
"14 7 [0.025,0.05) 0.723258\n",
"15 7 [0.05,0.075) 0.166087\n"
]
},
Notebook done for figure 8
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{
"data": {
report work
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"image/png": "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
Notebook done for figure 8
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"text/plain": [
report work
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"<Figure size 360x288 with 1 Axes>"
Notebook done for figure 8
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]
},
"metadata": {
"needs_background": "light"
},
"output_type": "display_data"
},
report work
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{
"name": "stdout",
"output_type": "stream",
"text": [
" term interval count\n",
"0 4 <0.025 0.000000\n",
"1 4 >=0.075 0.013170\n",
"2 4 [0.025,0.05) 0.007207\n",
"3 4 [0.05,0.075) 0.031299\n",
"4 5 <0.025 0.000000\n",
"5 5 >=0.075 0.020216\n",
"6 5 [0.025,0.05) 0.003397\n",
"7 5 [0.05,0.075) 0.002583\n",
"8 6 <0.025 0.000000\n",
"9 6 >=0.075 0.066252\n",
"10 6 [0.025,0.05) 0.054421\n",
"11 6 [0.05,0.075) 0.060496\n",
"12 7 <0.025 0.000000\n",
"13 7 >=0.075 0.900363\n",
"14 7 [0.025,0.05) 0.934976\n",
"15 7 [0.05,0.075) 0.905622\n"
]
},
Notebook done for figure 8
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{
"data": {
report work
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"image/png": "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
Notebook done for figure 8
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"text/plain": [
report work
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"<Figure size 360x288 with 1 Axes>"
Notebook done for figure 8
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]
},
"metadata": {
"needs_background": "light"
},
"output_type": "display_data"
},
report work
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{
"name": "stdout",
"output_type": "stream",
"text": [
" term interval count\n",
"0 4 <0.025 0.000000\n",
"1 4 >=0.075 0.050038\n",
"2 4 [0.025,0.05) 0.008177\n",
"3 4 [0.05,0.075) 0.007631\n",
"4 5 <0.025 0.000000\n",
"5 5 >=0.075 0.002225\n",
"6 5 [0.025,0.05) 0.003356\n",
"7 5 [0.05,0.075) 0.019604\n",
"8 6 <0.025 0.000000\n",
"9 6 >=0.075 0.049023\n",
"10 6 [0.025,0.05) 0.045368\n",
"11 6 [0.05,0.075) 0.395468\n",
"12 7 <0.025 0.000000\n",
"13 7 >=0.075 0.898714\n",
"14 7 [0.025,0.05) 0.943099\n",
"15 7 [0.05,0.075) 0.577298\n"
]
},
Notebook done for figure 8
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{
"data": {
report work
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"image/png": "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
Notebook done for figure 8
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"text/plain": [
report work
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"<Figure size 360x288 with 1 Axes>"
Notebook done for figure 8
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]
},
"metadata": {
"needs_background": "light"
},
"output_type": "display_data"
},
report work
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{
"name": "stdout",
"output_type": "stream",
"text": [
" term interval count\n",
"0 4 <0.025 0.000000\n",
"1 4 >=0.075 0.041204\n",
"2 4 [0.025,0.05) 0.044606\n",
"3 4 [0.05,0.075) 0.020170\n",
"4 5 <0.025 0.000000\n",
"5 5 >=0.075 0.028885\n",
"6 5 [0.025,0.05) 0.014656\n",
"7 5 [0.05,0.075) 0.019447\n",
"8 6 <0.025 0.000000\n",
"9 6 >=0.075 0.094778\n",
"10 6 [0.025,0.05) 0.090544\n",
"11 6 [0.05,0.075) 0.064682\n",
"12 7 <0.025 0.000000\n",
"13 7 >=0.075 0.835133\n",
"14 7 [0.025,0.05) 0.850194\n",
"15 7 [0.05,0.075) 0.895701\n"
]
},
Notebook done for figure 8
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{
"data": {
report work
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"image/png": "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
Notebook done for figure 8
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"text/plain": [
report work
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"<Figure size 360x288 with 1 Axes>"
Notebook done for figure 8
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]
},
"metadata": {
"needs_background": "light"
},
"output_type": "display_data"
},
report work
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{
"name": "stdout",
"output_type": "stream",
"text": [
" term interval count\n",
"0 4 <0.025 0.000000\n",
"1 4 >=0.075 0.015998\n",
"2 4 [0.025,0.05) 0.044791\n",
"3 4 [0.05,0.075) 0.007652\n",
"4 5 <0.025 0.000000\n",
"5 5 >=0.075 0.015186\n",
"6 5 [0.025,0.05) 0.015187\n",
"7 5 [0.05,0.075) 0.012962\n",
"8 6 <0.025 0.000000\n",
"9 6 >=0.075 0.071583\n",
"10 6 [0.025,0.05) 0.079528\n",
"11 6 [0.05,0.075) 0.387294\n",
"12 7 <0.025 0.000000\n",
"13 7 >=0.075 0.897233\n",
"14 7 [0.025,0.05) 0.860495\n",
"15 7 [0.05,0.075) 0.592092\n"
]
},
Notebook done for figure 8
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{
"data": {
report work
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"image/png": "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
Notebook done for figure 8
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"text/plain": [
report work
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"<Figure size 360x288 with 1 Axes>"
Notebook done for figure 8
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]
},
"metadata": {
"needs_background": "light"
},
"output_type": "display_data"
},
report work
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{
"name": "stdout",
"output_type": "stream",
"text": [
" term interval count\n",
"0 4 <0.2 0.205449\n",
"1 4 >=1 0.178661\n",
"2 4 [0.2,0.4) 0.209706\n",
"3 4 [0.4,0.6) 0.193886\n",
"4 4 [0.6,0.8) 0.181216\n",
"5 4 [0.8,1) 0.177358\n",
"6 5 <0.2 0.058041\n",
"7 5 >=1 0.040337\n",
"8 5 [0.2,0.4) 0.041928\n",
"9 5 [0.4,0.6) 0.042874\n",
"10 5 [0.6,0.8) 0.041236\n",
"11 5 [0.8,1) 0.042094\n",
"12 6 <0.2 0.229553\n",
"13 6 >=1 0.326669\n",
"14 6 [0.2,0.4) 0.218105\n",
"15 6 [0.4,0.6) 0.253870\n",
"16 6 [0.6,0.8) 0.281629\n",
"17 6 [0.8,1) 0.306586\n",
"18 7 <0.2 0.506957\n",
"19 7 >=1 0.454333\n",
"20 7 [0.2,0.4) 0.530260\n",
"21 7 [0.4,0.6) 0.509371\n",
"22 7 [0.6,0.8) 0.495919\n",
"23 7 [0.8,1) 0.473963\n"
]
},
Notebook done for figure 8
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{
"data": {
report work
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"image/png": "iVBORw0KGgoAAAANSUhEUgAAAZcAAAEWCAYAAACqitpwAAAAOXRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjQuMiwgaHR0cHM6Ly9tYXRwbG90bGliLm9yZy8rg+JYAAAACXBIWXMAAAsTAAALEwEAmpwYAAA4pklEQVR4nO3deXxb1Zn/8c8jyfu+xdmcGLI0EMhCXBpKmFLoQil7CqWlQwot0CkUhjIUSqcMZaYDM9OVXztlKFtYWvZCoGxlCWUNdRISCGSHhKRx4niJ492Snt8f90qWbdmWbcny8rxfL710de7VuefKib8+91ydK6qKMcYYE0+eZDfAGGPM2GPhYowxJu4sXIwxxsSdhYsxxpi4s3AxxhgTdxYuxhhj4s7CxRiXiHxTRF5LdjuMGQssXMywEpE0EblDRHaIyEEReUdEvtRtmxNFZKOINIvIyyIyPWLdOSLyhrtuZZT6TxWR90Sk0d3u8AQdxw0icl8i6jZmLLBwMcPNB3wMfAbIA/4VeEhEygFEpBh4DPgxUAhUAg9GvL8W+BVwc/eKRWQWcD/wHSAfeBJYISK+hByJMaZXFi5mWKlqk6reoKofqWpQVZ8CPgQWuZucBWxQ1YdVtRW4AZgvInPc97+gqg8Bf49S/ReBV1X1NVX1A/8FTMEJsh5EpEhEVohIg4i8Dczotv7XIvKxu361iBznlp8EXAd81e0hrXPLLxCRD9we2XYRuWQon5Uxo5mFi0kqESkFZgMb3KK5wLrQelVtAra55TFV2W1ZgCN62fa3QCswCbjQfUT6G7AApwf1B+BhEUlX1WeB/wQeVNVsVZ3vbr8POAXIBS4AfikiR8XYbmPGFAsXkzQikoJzGmu5qm50i7OBA902PQDkxFDlC8BnROR4EUnF6V2kAplR9u0FlgLXu72p94Dlkduo6n2qWqOqflX9OZAGfKK3navqn1V1mzpeAZ4Hjouh3caMORYuJilExAPcC7QDl0WsasT5yz9SLnCwvzrdgFoG/AbYAxQD7wO7omxeQuf4T8iObm38F/c01wERqccZIyru45i+JCJviUitu/3JfW1vzFhm4WKGnYgIcAdQCixV1Y6I1RuA+RHbZuGMhWwgBqr6iKoeoapFwL8B5Tint7qrBvxAWUTZtIj9Hgf8ADgHKFDVfJweVOi0W5fpxEUkDXgU+BlQ6m7/NF1P0xkzbli4mGT4HXAYcKqqtnRb9yfgCBFZKiLpwPXA+tBpMxHxuuU+wCMi6e7pNdz1i9xtSoDbgBURp9zCVDWAc1XaDSKS6V6yvCxikxyc8KkGfCJyPV17VHuBcrcHBs7ptzR3e797efUXBvHZGDMmWLiYYeV+Z+USnIHyKvdqq0YROQ9AVatxxkJ+CtQBnwLOjajiH4EWnIA6zl3+fcT6XwP1wCb3/Rf10ZzLcMZ4qoC7gbsi1j0HPAtsxjld1krXU2gPu881IrJGVQ8ClwMPufv9OrCir8/CmLFM7GZhxhhj4s16LsYYY+LOwsUYY0zcWbgYY4yJOwsXY4wxcTeqJ/QrLi7W8vLyZDfDGDPGrF69er+qliS7HaPZqA6X8vJyKisrk90MY8wYIyI7+t/K9MVOixljjIm7hIWLiNwpIvtE5L2IskIR+YuIbHGfC9xyEZFbRGSriKy3mWSNMWZ0S2TP5W7gpG5l1wIvquos4EX3NcCXgFnu42Kcb18bY4wZpRI25qKqfw3dXTDC6cDx7vJyYCVwjVt+jzrTBbwlIvkiMklV9ySqfcYYMxCrV6+e4PP5bse5P9B4H1IIAu/5/f5vL1q0aF+0DYZ7QL80IjCqcGbFBedugZHzNu1yyyxcjDEjgs/nu33ixImHlZSU1Hk8nnE9b1YwGJTq6urDq6qqbgdOi7ZN0tLX7aUM+AckIheLSKWIVFZXVyegZcYYE9URJSUlDeM9WAA8Ho+WlJQcoPe7vA57uOwVkUkA7nOoO7WbrvfVmOqW9aCqt6lqhapWlJTYZejGmGHjsWDp5H4WvWbIcIfLCjrvmbEMeCKi/Hz3qrHFwAEbbzHGmNErYWMuIvJHnMH7YhHZhXNXwJuBh0TkWzj3yDjH3fxpnFvCbgWagQsS1S5jjBmtvF7volmzZoVvsHfWWWfVtrW1SWtrq+e3v/1t+GzPG2+8kfGNb3zj0O3bt2+YMmXKkZWVlR9MmjTJv3PnTt93v/vdaevWrcvMzc0NFBcXd9x88827L7jggkMA9uzZk5qdnR3IyckJFBYW+t94443Ng21rIq8W+1ovq06Msq0ClyaqLcYYMxakpaUFN27c+H5k2fr169NOPvnk2ZHhct999xWeddZZtZHbBYNBTjvttJlf//rXa5566qntAG+++WbGgQMHvKE6ly5dWn7KKaccuOCCC+qG2tZRPf2LMcaMZK9t3Z/1+tb9OcfOLD64ZGZxUyL2MW/evLa8vDz/Sy+9lHXCCSc0AaxYsaLwmWee6dLreOqpp3J8Pp/+4Ac/CF8Jdcwxx3S/zXjcWLgYY8wAXf3IurLNVQcz+9qmqc3v2ba/KVMVbn1lGzOKs5qz0nzB3rafPTGn+X++Mv/j3tYDtLW1eebMmXN46PVVV12156KLLqpbunRp7f333194wgknNL344otZ+fn5/iOPPLIt8r3r16/PmD9/fnOsxzhUFi7GGJMAjW1+X+gu8qrO66w0X/tQ6ox2Wgzg/PPPr12yZMlhgUDg4/vvv79w6dKltdHeP5wsXIwxZoD662GAc0rswrv/NtsfCHp8Xk/wZ+cs2J6oU2MzZ87smDp1atvTTz+d8/TTTxe8/vrrH3Tf5sgjj2x5/PHHCxKx/2jG+xQGxhiTEEtmFjfd+c1Pbr7kMzN23/nNT25OVLCEnH322bVXX311WVlZWduMGTM6uq8/9dRTD7a3t8vPfvaz4lDZqlWrMp599tnsRLTHwsUYYxJkyczipmtOmlMVr2AJjbmEHt/97nenhNadf/75dVu3bk0/++yzo54S83g8rFixYttLL72UW1ZWdsTMmTPnXnPNNVOmTJnSI4jiwU6LGWPMKBEIBFb3tm7SpEl+v9+/pnv57t273w0tl5eXdzz99NPbe6vj0Ucf/WjIjXRZz8UYY0zcWbgYY4yJOwsXY4wxcWfhYowxJu4sXIwxxsSdhYsxxpi4s3AxxphRwuv1Lor8nsumTZtSAW688cYJaWlpR9XU1HhD2z711FM5n/3sZ2cC3HLLLUXnn3/+tOFsq33PxRhjRone5hZ75JFHCo844oim++67L/+KK66oSUbburOeizHGJMr2lVm8cMNEtq/MStQuNmzYkNbc3Oy98cYbdz/00EOFidrPQFnPxRhjBurxS8vY936fU+7T1uihZksmKLz2Kyia1Uxadq9T7jPh8GbO+G3MU+6XlZW1/eUvf9l2zz33FJx55pm1J510UuNFF12U/vHHH/vKysr8gziquLJwMcaYRGg/6AN3zn3UeZ2WHfcp9x977LGixx57bKvX6+Xkk0+uu/feewuuu+666t7qGC4WLsYYM1D99DAA55TY/efMJtjhwZMS5Mxbt3Po8XGdGfntt9/O2LFjR9pJJ500G6Cjo0OmTp3abuFijDFj1aHHN3HeQ5vZvjKHQ48/GO9gAbjnnnsKr7rqqr/fdNNNVaGyKVOmHLl58+bUeO9roGxA3xhjEuXQ45v43A1ViQgWgMcff7zwnHPOqY8s+9KXvlS3fPnyHgP7jzzySFFpaem80GPbtm0piWhTiGjoPpyjUEVFhVZWVia7GcaYMUZEVqtqRWTZunXrPpo/f/7+ZLVpJFq3bl3x/Pnzy6Ots56LMcaYuLNwMcYYE3cWLsYYY+LOwsUYY0zcWbgYY4yJOwsXY4wxcWfhYowxo0S0Kfe7T63v8XgWrVq1KiP0nlmzZs0NTc0/ZcqUI/fs2eMDuOaaaybOnDlz7uzZsw+fM2fO4S+99FIWwNFHH/2Jv/71r+F50zZt2pQ6a9asuQNtq31D3xhjRoloc4tt2bIlLfJ1aWlp+4033jjpz3/+8/be6nnhhReynnvuufx33333/YyMDN2zZ4+vra1N4tl
Notebook done for figure 8
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"text/plain": [
report work
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"<Figure size 360x288 with 1 Axes>"
Notebook done for figure 8
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]
},
"metadata": {
"needs_background": "light"
},
"output_type": "display_data"
},
report work
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{
"name": "stdout",
"output_type": "stream",
"text": [
" term interval count\n",
"0 4 <0.2 0.205449\n",
"1 4 >=1 0.154111\n",
"2 4 [0.2,0.4) 0.189300\n",
"3 4 [0.4,0.6) 0.186162\n",
"4 4 [0.6,0.8) 0.167983\n",
"5 4 [0.8,1) 0.152814\n",
"6 5 <0.2 0.058041\n",
"7 5 >=1 0.036631\n",
"8 5 [0.2,0.4) 0.044335\n",
"9 5 [0.4,0.6) 0.045441\n",
"10 5 [0.6,0.8) 0.042147\n",
"11 5 [0.8,1) 0.038709\n",
"12 6 <0.2 0.229553\n",
"13 6 >=1 0.429169\n",
"14 6 [0.2,0.4) 0.216042\n",
"15 6 [0.4,0.6) 0.256060\n",
"16 6 [0.6,0.8) 0.322455\n",
"17 6 [0.8,1) 0.410903\n",
"18 7 <0.2 0.506957\n",
"19 7 >=1 0.380089\n",
"20 7 [0.2,0.4) 0.550323\n",
"21 7 [0.4,0.6) 0.512336\n",
"22 7 [0.6,0.8) 0.467415\n",
"23 7 [0.8,1) 0.397574\n"
]
},
Notebook done for figure 8
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{
"data": {
report work
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"image/png": "iVBORw0KGgoAAAANSUhEUgAAAZcAAAEWCAYAAACqitpwAAAAOXRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjQuMiwgaHR0cHM6Ly9tYXRwbG90bGliLm9yZy8rg+JYAAAACXBIWXMAAAsTAAALEwEAmpwYAAA+lklEQVR4nO3deXxU9b3/8ddnZrInJEBYAgRDgIiKLBoVFK7bva0L2lbUahettmpb7aZt9dpfvdZ7e+tte7vd9tarVqvWe+tStQgo1oWKsigICCoESEBkkbAlJCHJTObz++OcmUyGSTJJZjJZPs/HYx5z5qzfk8C88/1+z/keUVWMMcaYRPKkugDGGGMGHgsXY4wxCWfhYowxJuEsXIwxxiSchYsxxpiEs3AxxhiTcBYuxrhE5Esi8kaqy2HMQGDhYnqViGSIyB9EZIeIHBGRdSJyYdQ654vIJhFpEJHXROS4iGVXishyd9nSGPu/REQ2ikidu96JSTqPu0XkT8nYtzEDgYWL6W0+YCdwNpAP/D/gSREpARCRQuAZ4IfAMGA18ETE9geBXwH3Ru9YRCYDjwNfBQqA54EFIuJLypkYY9pl4WJ6larWq+rdqrpdVYOquhCoAk51V7kMeE9Vn1LVRuBuYLqITHG3f1lVnwR2x9j9J4FlqvqGqgaA/wDG4gTZMURkuIgsEJFaEXkLmBi1/NcistNdvkZE5rrzLwDuBD7r1pDWu/OvE5EP3BpZpYjc1JOflTH9mYWLSSkRGQWUAe+5s04C1oeWq2o9sM2dH9cuo6YFmNrOur8DGoEi4Hr3FeltYAZODep/gadEJFNVXwT+HXhCVXNVdbq7/j5gHjAEuA74pYicEme5jRlQLFxMyohIGk4z1iOqusmdnQvURK1aA+TFscuXgbNF5BwRScepXaQD2TGO7QXmA3e5tamNwCOR66jqn1T1gKoGVPU/gQzg+PYOrqqLVHWbOv4OvATMjaPcxgw4Fi4mJUTEAzwGNAO3RCyqw/nLP9IQ4Ehn+3QD6lrgt8AeoBB4H/goxuojaO3/CdkRVcbvus1cNSJyGKePqLCDc7pQRFaKyEF3/Ys6Wt+YgczCxfQ6ERHgD8AoYL6q+iMWvwdMj1g3B6cv5D3ioKpPq+pUVR0O/AtQgtO8Fa0aCADFEfPGRxx3LvB94EpgqKoW4NSgQs1ubYYTF5EM4C/Az4FR7vqLadtMZ8ygYeFiUuH3wAnAJap6NGrZs8BUEZkvIpnAXcC7oWYzEfG6832AR0Qy3eY13OWnuuuMAO4HFkQ0uYWpagvOVWl3i0i2e8nytRGr5OGETzXgE5G7aFuj+hgocWtg4DS/ZbjrB9zLqz/RjZ+NMQOChYvpVe49KzfhdJTvda+2qhORzwOoajVOX8iPgUPAGcBVEbv4InAUJ6DmutMPRCz/NXAY2Oxuf0MHxbkFp49nL/BH4OGIZUuAF4EKnOayRto2oT3lvh8QkXdU9QjwTeBJ97ifAxZ09LMwZiATe1iYMcaYRLOaizHGmISzcDHGGJNwFi7GGGMSzsLFGGNMwvXrAf0KCwu1pKQk1cUwxgwwa9as2a+qI1Jdjv6sX4dLSUkJq1evTnUxjDEDjIjs6Hwt0xFrFjPGGJNwSQsXEXlIRPaJyMaIecNE5G8issV9H+rOFxH5jYhsFZF3bSRZY4zp35JZc/kjcEHUvDuAV1R1MvCK+xngQmCy+7oR5+5rY4wx/VTS+lxU9fXQ0wUjfAo4x51+BFgK3O7Of1Sd4QJWikiBiBSp6p5klc8YY7pizZo1I30+34M4zwca7F0KQWBjIBD4yqmnnrov1gq93aE/KiIw9uKMigvO0wIjx236yJ1n4WKM6RN8Pt+Do0ePPmHEiBGHPB7PoB43KxgMSnV19Yl79+59ELg01jopS1+3ltLlX5CI3Cgiq0VkdXV1dRJKZowxMU0dMWJE7WAPFgCPx6MjRoyoof2nvPZ6uHwsIkUA7nuoOrWLts/VGOfOO4aq3q+q5apaPmKEXYZujOk1HguWVu7Pot0M6e1wWUDrMzOuBf4aMf8a96qxWUCN9bcYY0z/lbQ+FxH5P5zO+0IR+QjnqYD3Ak+KyJdxnpFxpbv6YpxHwm4FGoDrklUuY4zpr7xe76mTJ08OP2DvsssuO9jU1CSNjY2e3/3ud+HWnuXLl2d94QtfKK2srHxv7NixJ69evfqDoqKiwIcffuj7+te/Pn79+vXZQ4YMaSksLPTfe++9u6677roJAHv27EnPzc1tycvLaxk2bFhg+fLlFd0tazKvFru6nUXnx1hXgZuTVRZjjBkIMjIygps2bXo/ct67776bcdFFF5VFhsuf/vSnYZdddtnByPWCwSCXXnrppM997nMHFi5cWAmwYsWKrJqaGm9on/Pnzy+ZN29ezXXXXXeop2Xt18O/GGNMX/bG1v05b27dn3fWpMIjcyYV1ifjGNOmTWvKz88PvPrqqznnnXdePcCCBQuGvfDCC21qHQsXLszz+Xz6/e9/P3wl1OzZs6MfM54wFi7GGNNF33t6fXHF3iPZHa1T3xTwbNtfn60K9/19GxMLcxpyMnzB9tYvG53X8LPLp+9sbzlAU1OTZ8qUKSeGPt922217brjhhkPz588/+Pjjjw8777zz6l955ZWcgoKCwMknn9wUue27776bNX369IZ4z7GnLFyMMSYJ6poCvtBT5FWdzzkZvuae7DNWsxjANddcc3DOnDkntLS07Hz88ceHzZ8//2Cs7XuThYsxxnRRZzUMcJrErv/j22WBlqDH5/UEf37ljMpkNY1NmjTJP27cuKbFixfnLV68eOibb775QfQ6J5988tHnnntuaDKOH8tgH8LAGGOSYs6kwvqHvnRaxU1nT9z10JdOq0hWsIRcccUVB7/3ve8VFxcXN02cONEfvfySSy450tzcLD//+c8LQ/NWrVqV9eKLL+YmozwWLsYYkyRzJhXW337BlL2JCpZQn0vo9fWvf31saNk111xzaOvWrZlXXHFFzCYxj8fDggULtr366qtDiouLp06aNOmk22+/fezYsWOPCaJEsGYxY4zpJ1paWta0t6yoqCgQCATeiZ6/a9euDaHpkpIS/+LFiyvb28df/vKX7T0upMtqLsYYYxLOwsUYY0zCWbgYY4xJOAsXY4wxCWfhYowxJuEsXIwxxiSchYsxxvQTXq/31Mj7XDZv3pwOcM8994zMyMg45cCBA97QugsXLsw799xzJwH85je/GX7NNdeM782y2n0uxhjTT7Q3ttjTTz89bOrUqfV/+tOfCr71rW8dSEXZolnNxRhjkqVyaQ4v3z2ayqU5yTrEe++9l9HQ0OC95557dj355JPDknWcrrKaizHGdNVzNxez7/0Oh9ynqc7DgS3ZoPDGr2D45AYyctsdcp+RJzbw6d/FPeR+cXFx09/+9rdtjz766NDPfOYzBy+44IK6G264IXPnzp2+4uLiQDfOKqEsXIwxJhmaj/jAHXMfdT5n5CZ8yP1nnnlm+DPPPLPV6/Vy0UUXHXrssceG3nnnndXt7aO3WLgYY0xXdVLDAJwmscevLCPo9+BJC/KZ+yopPSehIyO/9dZbWTt27Mi44IILygD8fr+MGzeu2cLFGGMGqtJz6vn8kxVULs2j9JwjiQ4WgEcffXTYbbfdtvsnP/nJ3tC8sWPHnlxRUZGe6GN1lXXoG2NMspSeU88/3r03GcEC8Nxzzw278sorD0fOu/DCCw898sgjx3TsP/3008NHjRo1LfTatm1bWjLKFCIaeg5nP1ReXq6rV69OdTGMMQOMiKxR1fLIeevXr98+ffr0/akqU1+0fv36wunTp5fEWmY1F2OMMQln4WKMMSbhLFyMMcYknIWLMcaYhLNwMcYYk3AWLsYYYxLOwsUYY/qJWEPuRw+t7/F4Tl21alVWaJvJkyefFBqaf+zYsSfv2bPHB3D77bePnjRp0kllZWUnTpky5cRXX301B+D0008//vXXXw+Pm7Z58+b0yZMnn9TVstod+sYY00/EGltsy5YtGZGfR40a1XzPPfcULVq0qLK9/bz88ss5S5YsKdiwYcP7WVlZumf
Notebook done for figure 8
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"text/plain": [
report work
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"<Figure size 360x288 with 1 Axes>"
Notebook done for figure 8
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]
},
"metadata": {
"needs_background": "light"
},
"output_type": "display_data"
},
report work
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{
"name": "stdout",
"output_type": "stream",
"text": [
" term interval count\n",
"0 4 <0.2 0.056609\n",
"1 4 >=1 0.093087\n",
"2 4 [0.2,0.4) 0.014654\n",
"3 4 [0.4,0.6) 0.004608\n",
"4 4 [0.6,0.8) 0.007539\n",
"5 4 [0.8,1) 0.049984\n",
"6 5 <0.2 0.020233\n",
"7 5 >=1 0.486467\n",
"8 5 [0.2,0.4) 0.007748\n",
"9 5 [0.4,0.6) 0.006336\n",
"10 5 [0.6,0.8) 0.038662\n",
"11 5 [0.8,1) 0.225406\n",
"12 6 <0.2 0.097079\n",
"13 6 >=1 0.238661\n",
"14 6 [0.2,0.4) 0.049886\n",
"15 6 [0.4,0.6) 0.070199\n",
"16 6 [0.6,0.8) 0.172138\n",
"17 6 [0.8,1) 0.150907\n",
"18 7 <0.2 0.826078\n",
"19 7 >=1 0.181785\n",
"20 7 [0.2,0.4) 0.927712\n",
"21 7 [0.4,0.6) 0.918856\n",
"22 7 [0.6,0.8) 0.781661\n",
"23 7 [0.8,1) 0.573703\n"
]
},
Notebook done for figure 8
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{
"data": {
report work
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"image/png": "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
Notebook done for figure 8
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"text/plain": [
report work
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"<Figure size 360x288 with 1 Axes>"
Notebook done for figure 8
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]
},
"metadata": {
"needs_background": "light"
},
"output_type": "display_data"
},
report work
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{
"name": "stdout",
"output_type": "stream",
"text": [
" term interval count\n",
"0 4 <0.2 0.056603\n",
"1 4 >=1 0.000000\n",
"2 4 [0.2,0.4) 0.006078\n",
"3 4 [0.4,0.6) 0.005267\n",
"4 4 [0.6,0.8) 0.014433\n",
"5 4 [0.8,1) 0.076923\n",
"6 5 <0.2 0.020233\n",
"7 5 >=1 0.000000\n",
"8 5 [0.2,0.4) 0.004193\n",
"9 5 [0.4,0.6) 0.007262\n",
"10 5 [0.6,0.8) 0.007560\n",
"11 5 [0.8,1) 0.153846\n",
"12 6 <0.2 0.097083\n",
"13 6 >=1 0.000000\n",
"14 6 [0.2,0.4) 0.012774\n",
"15 6 [0.4,0.6) 0.030206\n",
"16 6 [0.6,0.8) 0.227835\n",
"17 6 [0.8,1) 0.000000\n",
"18 7 <0.2 0.826081\n",
"19 7 >=1 0.000000\n",
"20 7 [0.2,0.4) 0.976956\n",
"21 7 [0.4,0.6) 0.957265\n",
"22 7 [0.6,0.8) 0.750172\n",
"23 7 [0.8,1) 0.769231\n"
]
},
Notebook done for figure 8
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{
"data": {
report work
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"image/png": "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
Notebook done for figure 8
2021-04-17 10:50:40 +00:00
"text/plain": [
report work
2021-05-30 14:42:13 +00:00
"<Figure size 360x288 with 1 Axes>"
Notebook done for figure 8
2021-04-17 10:50:40 +00:00
]
},
"metadata": {
"needs_background": "light"
},
"output_type": "display_data"
}
],
"source": [
report work
2021-05-30 14:42:13 +00:00
"ab_bins = [(0, 0.025),\n",
" (0.025, 0.05),\n",
" (0.05, 0.075),\n",
" (0.075, USICOST)]\n",
"cd_bins = [(0, 0.2),\n",
" (0.2, 0.4),\n",
" (0.4, 0.6),\n",
" (0.6, 0.8),\n",
" (0.8, 1),\n",
" (1, USICOST)]\n",
"docd = \"abef\"\n",
"doef = \"abcd\"\n",
"\n",
Notebook done for figure 8
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"for cluster in \"abcdefgh\":\n",
report work
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" prepare_plot(cluster, \"rcpu\", ab_bins)\n",
" prepare_plot(cluster, \"rram\", ab_bins)\n",
" if cluster in docd:\n",
" prepare_plot(cluster, \"rscpu\", cd_bins)\n",
" prepare_plot(cluster, \"rsram\", cd_bins)\n",
" if cluster in doef:\n",
" prepare_plot(cluster, \"ucpu\", cd_bins)\n",
" prepare_plot(cluster, \"uram\", cd_bins)\n",
" \n",
"cluster = \"all\"\n",
"prepare_plot(cluster, \"rcpu\", ab_bins)\n",
"prepare_plot(cluster, \"rram\", ab_bins)\n",
"prepare_plot(cluster, \"rscpu\", cd_bins)\n",
"prepare_plot(cluster, \"rsram\", cd_bins)\n",
"prepare_plot(cluster, \"ucpu\", cd_bins)\n",
"prepare_plot(cluster, \"uram\", cd_bins)"
]
},
{
"cell_type": "code",
"execution_count": 43,
"metadata": {},
"outputs": [
{
"data": {
"image/png": "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
"text/plain": [
"<Figure size 360x288 with 1 Axes>"
]
},
"metadata": {
"needs_background": "light"
},
"output_type": "display_data"
},
{
"data": {
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"text/plain": [
"<Figure size 360x288 with 1 Axes>"
]
},
"metadata": {
"needs_background": "light"
},
"output_type": "display_data"
},
{
"data": {
"image/png": "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
"text/plain": [
"<Figure size 360x288 with 1 Axes>"
]
},
"metadata": {
"needs_background": "light"
},
"output_type": "display_data"
},
{
"data": {
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"text/plain": [
"<Figure size 360x288 with 1 Axes>"
]
},
"metadata": {
"needs_background": "light"
},
"output_type": "display_data"
},
{
"data": {
"image/png": "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
"text/plain": [
"<Figure size 360x288 with 1 Axes>"
]
},
"metadata": {
"needs_background": "light"
},
"output_type": "display_data"
},
{
"data": {
"image/png": "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
"text/plain": [
"<Figure size 360x288 with 1 Axes>"
]
},
"metadata": {
"needs_background": "light"
},
"output_type": "display_data"
}
],
"source": [
"\n",
"def malusa(l, r):\n",
" return [a for a in itertools.chain(*[[b for x in range(r)] for b in l])]\n",
"\n",
"def cdbhitcriasfm(measure, bins, data):\n",
" dfa11 = {'term': [x for x in range(4,8)] * len(bins),\n",
" 'measure': [measure] * (len(bins) * 4),\n",
" 'interval': malusa([e[0] for e in bins], 4),\n",
" 'count': data}\n",
" dfa11 = pd.DataFrame(data=dfa11, columns=dfa11.keys())\n",
" prepare_plot(\"2011\", measure, bins, dfa11)\n",
"\n",
"\n",
"cdbhitcriasfm(\"rcpu\", ab_bins, \n",
" [8, 32, 45, 16,\n",
" 10, 7, 55, 26,\n",
" 11, 12, 46, 27,\n",
" 5, 16, 45, 30])\n",
"cdbhitcriasfm(\"rram\", ab_bins, \n",
" [11, 34, 40, 19,\n",
" 10, 7, 68, 20,\n",
" 18, 12, 36, 34,\n",
" 5, 40, 28, 32])\n",
"cdbhitcriasfm(\"rscpu\", cd_bins, \n",
" [12, 10, 48, 30,\n",
" 16, 12, 45, 28,\n",
" 18, 15, 42, 28,\n",
" 17.5, 17, 45, 21,\n",
" 11, 24, 47, 20, \n",
" 8, 25, 48, 19])\n",
"cdbhitcriasfm(\"rsram\", cd_bins, \n",
" [12, 15, 54, 19,\n",
" 7, 31, 47, 18,\n",
" 6, 34, 44, 17,\n",
" 7, 32, 45, 18,\n",
" 9, 26, 47, 20,\n",
" 10, 24, 49, 22])\n",
"cdbhitcriasfm(\"ucpu\", cd_bins, \n",
" [9, 28, 47, 16,\n",
" 8, 27, 48, 18,\n",
" 9, 24, 49, 20,\n",
" 10, 16, 50, 21, \n",
" 9, 15, 43, 26,\n",
" 12, 7, 27, 53])\n",
"cdbhitcriasfm(\"uram\", cd_bins, \n",
" [9,35,42,14,\n",
" 8,30,46,17,\n",
" 9,24,50,20, \n",
" 8,17,54,23,\n",
" 9,11,54,27,\n",
" 0,0,0,0])\n",
"\n",
"#prepare_plot(cluster, \"rram\", ab_bins)\n",
"#prepare_plot(cluster, \"rscpu\", cd_bins)\n",
"#prepare_plot(cluster, \"rsram\", cd_bins)\n",
"#prepare_plot(cluster, \"ucpu\", cd_bins)\n",
"#prepare_plot(cluster, \"uram\", cd_bins)"
Notebook done for figure 8
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]
},
report work
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{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": []
},
Notebook done for figure 8
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{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": []
}
],
"metadata": {
"kernelspec": {
added report template
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"display_name": "Python 3",
Notebook done for figure 8
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"language": "python",
added report template
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"name": "python3"
Notebook done for figure 8
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},
"language_info": {
"codemirror_mode": {
"name": "ipython",
"version": 3
},
"file_extension": ".py",
"mimetype": "text/x-python",
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
added report template
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"version": "3.8.3"
Notebook done for figure 8
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}
},
"nbformat": 4,
"nbformat_minor": 5
}
Reference in a new issue Copy permalink