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valschneider/sched-evaluation-p3-lb-ab-presentation.ipynb

Created July 25, 2019 12:31
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sched-evaluation-p3-lb-ab-presentation.ipynb
{
"cells": [
{
"cell_type": "markdown",
"metadata": {},
"source": [
"# WLTests Results\n",
"Analyses and visualises results generated by a wltest"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"# Jankbench"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## Total Frame Duration"
]
},
{
"cell_type": "code",
"execution_count": 6,
"metadata": {
"scrolled": false
},
"outputs": [
{
"name": "stderr",
"output_type": "stream",
"text": [
"2019-07-25 10:45:02,228 INFO : root : Results for: list_view\n"
]
},
{
"data": {
"image/png": 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\n",
"text/plain": [
"<Figure size 1152x576 with 1 Axes>"
]
},
"metadata": {
"needs_background": "light"
},
"output_type": "display_data"
},
{
"data": {
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"<div>\n",
"<style scoped>\n",
" .dataframe tbody tr th:only-of-type {\n",
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"<table border=\"1\" class=\"dataframe\">\n",
" <thead>\n",
" <tr>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" <th colspan=\"9\" halign=\"left\">frame_total_duration</th>\n",
" </tr>\n",
" <tr>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" <th>count</th>\n",
" <th>mean</th>\n",
" <th>std</th>\n",
" <th>min</th>\n",
" <th>50%</th>\n",
" <th>75%</th>\n",
" <th>95%</th>\n",
" <th>99%</th>\n",
" <th>max</th>\n",
" </tr>\n",
" <tr>\n",
" <th>test</th>\n",
" <th>tag</th>\n",
" <th>kernel</th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
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" </thead>\n",
" <tbody>\n",
" <tr>\n",
" <th rowspan=\"3\" valign=\"top\">list_view</th>\n",
" <th rowspan=\"3\" valign=\"top\">iter_30</th>\n",
" <th>base</th>\n",
" <td>44909.0</td>\n",
" <td>8.350783</td>\n",
" <td>10.157884</td>\n",
" <td>1.419040</td>\n",
" <td>4.039927</td>\n",
" <td>6.988780</td>\n",
" <td>39.981779</td>\n",
" <td>40.814215</td>\n",
" <td>81.558955</td>\n",
" </tr>\n",
" <tr>\n",
" <th>ab</th>\n",
" <td>44973.0</td>\n",
" <td>9.311286</td>\n",
" <td>10.579491</td>\n",
" <td>1.686415</td>\n",
" <td>5.332415</td>\n",
" <td>7.325482</td>\n",
" <td>40.281902</td>\n",
" <td>41.002113</td>\n",
" <td>105.823997</td>\n",
" </tr>\n",
" <tr>\n",
" <th>revert</th>\n",
" <td>44964.0</td>\n",
" <td>12.246886</td>\n",
" <td>12.904403</td>\n",
" <td>1.412242</td>\n",
" <td>7.054283</td>\n",
" <td>23.588100</td>\n",
" <td>40.656267</td>\n",
" <td>41.780284</td>\n",
" <td>107.261404</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"</div>"
],
"text/plain": [
" frame_total_duration \\\n",
" count mean std min \n",
"test tag kernel \n",
"list_view iter_30 base 44909.0 8.350783 10.157884 1.419040 \n",
" ab 44973.0 9.311286 10.579491 1.686415 \n",
" revert 44964.0 12.246886 12.904403 1.412242 \n",
"\n",
" \\\n",
" 50% 75% 95% 99% \n",
"test tag kernel \n",
"list_view iter_30 base 4.039927 6.988780 39.981779 40.814215 \n",
" ab 5.332415 7.325482 40.281902 41.002113 \n",
" revert 7.054283 23.588100 40.656267 41.780284 \n",
"\n",
" \n",
" max \n",
"test tag kernel \n",
"list_view iter_30 base 81.558955 \n",
" ab 105.823997 \n",
" revert 107.261404 "
]
},
"metadata": {},
"output_type": "display_data"
},
{
"name": "stderr",
"output_type": "stream",
"text": [
"2019-07-25 10:45:19,064 INFO : root : Results for: image_list_view\n"
]
},
{
"data": {
"image/png": 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\n",
"text/plain": [
"<Figure size 1152x576 with 1 Axes>"
]
},
"metadata": {
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},
"output_type": "display_data"
},
{
"data": {
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"<div>\n",
"<style scoped>\n",
" .dataframe tbody tr th:only-of-type {\n",
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" <thead>\n",
" <tr>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" <th colspan=\"9\" halign=\"left\">frame_total_duration</th>\n",
" </tr>\n",
" <tr>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" <th>count</th>\n",
" <th>mean</th>\n",
" <th>std</th>\n",
" <th>min</th>\n",
" <th>50%</th>\n",
" <th>75%</th>\n",
" <th>95%</th>\n",
" <th>99%</th>\n",
" <th>max</th>\n",
" </tr>\n",
" <tr>\n",
" <th>test</th>\n",
" <th>tag</th>\n",
" <th>kernel</th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
" <th rowspan=\"3\" valign=\"top\">image_list_view</th>\n",
" <th rowspan=\"3\" valign=\"top\">iter_30</th>\n",
" <th>ab</th>\n",
" <td>44979.0</td>\n",
" <td>10.234485</td>\n",
" <td>10.312463</td>\n",
" <td>1.624639</td>\n",
" <td>7.001222</td>\n",
" <td>7.989912</td>\n",
" <td>40.113302</td>\n",
" <td>41.707979</td>\n",
" <td>96.698476</td>\n",
" </tr>\n",
" <tr>\n",
" <th>base</th>\n",
" <td>44996.0</td>\n",
" <td>10.958585</td>\n",
" <td>12.124417</td>\n",
" <td>1.623887</td>\n",
" <td>7.055112</td>\n",
" <td>7.824072</td>\n",
" <td>41.000811</td>\n",
" <td>41.844363</td>\n",
" <td>116.056425</td>\n",
" </tr>\n",
" <tr>\n",
" <th>revert</th>\n",
" <td>45015.0</td>\n",
" <td>14.592774</td>\n",
" <td>13.824754</td>\n",
" <td>1.657909</td>\n",
" <td>7.649969</td>\n",
" <td>24.313393</td>\n",
" <td>41.409701</td>\n",
" <td>42.323094</td>\n",
" <td>91.752770</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"</div>"
],
"text/plain": [
" frame_total_duration \\\n",
" count mean std \n",
"test tag kernel \n",
"image_list_view iter_30 ab 44979.0 10.234485 10.312463 \n",
" base 44996.0 10.958585 12.124417 \n",
" revert 45015.0 14.592774 13.824754 \n",
"\n",
" \\\n",
" min 50% 75% 95% \n",
"test tag kernel \n",
"image_list_view iter_30 ab 1.624639 7.001222 7.989912 40.113302 \n",
" base 1.623887 7.055112 7.824072 41.000811 \n",
" revert 1.657909 7.649969 24.313393 41.409701 \n",
"\n",
" \n",
" 99% max \n",
"test tag kernel \n",
"image_list_view iter_30 ab 41.707979 96.698476 \n",
" base 41.844363 116.056425 \n",
" revert 42.323094 91.752770 "
]
},
"metadata": {},
"output_type": "display_data"
},
{
"name": "stderr",
"output_type": "stream",
"text": [
"2019-07-25 10:45:35,542 INFO : root : Results for: shadow_grid\n"
]
},
{
"data": {
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\n",
"text/plain": [
"<Figure size 1152x576 with 1 Axes>"
]
},
"metadata": {
"needs_background": "light"
},
"output_type": "display_data"
},
{
"data": {
"text/html": [
"<div>\n",
"<style scoped>\n",
" .dataframe tbody tr th:only-of-type {\n",
" vertical-align: middle;\n",
" }\n",
"\n",
" .dataframe tbody tr th {\n",
" vertical-align: top;\n",
" }\n",
"\n",
" .dataframe thead tr th {\n",
" text-align: left;\n",
" }\n",
"\n",
" .dataframe thead tr:last-of-type th {\n",
" text-align: right;\n",
" }\n",
"</style>\n",
"<table border=\"1\" class=\"dataframe\">\n",
" <thead>\n",
" <tr>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" <th colspan=\"9\" halign=\"left\">frame_total_duration</th>\n",
" </tr>\n",
" <tr>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" <th>count</th>\n",
" <th>mean</th>\n",
" <th>std</th>\n",
" <th>min</th>\n",
" <th>50%</th>\n",
" <th>75%</th>\n",
" <th>95%</th>\n",
" <th>99%</th>\n",
" <th>max</th>\n",
" </tr>\n",
" <tr>\n",
" <th>test</th>\n",
" <th>tag</th>\n",
" <th>kernel</th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
" <th rowspan=\"3\" valign=\"top\">shadow_grid</th>\n",
" <th rowspan=\"3\" valign=\"top\">iter_30</th>\n",
" <th>ab</th>\n",
" <td>40798.0</td>\n",
" <td>8.798754</td>\n",
" <td>10.300932</td>\n",
" <td>1.804978</td>\n",
" <td>4.951539</td>\n",
" <td>7.523598</td>\n",
" <td>40.334177</td>\n",
" <td>41.315674</td>\n",
" <td>139.765131</td>\n",
" </tr>\n",
" <tr>\n",
" <th>base</th>\n",
" <td>40771.0</td>\n",
" <td>11.290946</td>\n",
" <td>12.688764</td>\n",
" <td>1.579219</td>\n",
" <td>6.833318</td>\n",
" <td>8.634559</td>\n",
" <td>40.689184</td>\n",
" <td>41.555224</td>\n",
" <td>92.514078</td>\n",
" </tr>\n",
" <tr>\n",
" <th>revert</th>\n",
" <td>40875.0</td>\n",
" <td>13.608845</td>\n",
" <td>13.968431</td>\n",
" <td>1.675374</td>\n",
" <td>7.364690</td>\n",
" <td>23.986633</td>\n",
" <td>41.054838</td>\n",
" <td>45.125318</td>\n",
" <td>98.587351</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"</div>"
],
"text/plain": [
" frame_total_duration \\\n",
" count mean std \n",
"test tag kernel \n",
"shadow_grid iter_30 ab 40798.0 8.798754 10.300932 \n",
" base 40771.0 11.290946 12.688764 \n",
" revert 40875.0 13.608845 13.968431 \n",
"\n",
" \\\n",
" min 50% 75% 95% \n",
"test tag kernel \n",
"shadow_grid iter_30 ab 1.804978 4.951539 7.523598 40.334177 \n",
" base 1.579219 6.833318 8.634559 40.689184 \n",
" revert 1.675374 7.364690 23.986633 41.054838 \n",
"\n",
" \n",
" 99% max \n",
"test tag kernel \n",
"shadow_grid iter_30 ab 41.315674 139.765131 \n",
" base 41.555224 92.514078 \n",
" revert 45.125318 98.587351 "
]
},
"metadata": {},
"output_type": "display_data"
},
{
"name": "stderr",
"output_type": "stream",
"text": [
"2019-07-25 10:45:52,249 INFO : root : Results for: low_hitrate_text\n"
]
},
{
"data": {
"image/png": 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\n",
"text/plain": [
"<Figure size 1152x576 with 1 Axes>"
]
},
"metadata": {
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},
"output_type": "display_data"
},
{
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" <th colspan=\"9\" halign=\"left\">frame_total_duration</th>\n",
" </tr>\n",
" <tr>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" <th>count</th>\n",
" <th>mean</th>\n",
" <th>std</th>\n",
" <th>min</th>\n",
" <th>50%</th>\n",
" <th>75%</th>\n",
" <th>95%</th>\n",
" <th>99%</th>\n",
" <th>max</th>\n",
" </tr>\n",
" <tr>\n",
" <th>test</th>\n",
" <th>tag</th>\n",
" <th>kernel</th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
" <th rowspan=\"3\" valign=\"top\">low_hitrate_text</th>\n",
" <th rowspan=\"3\" valign=\"top\">iter_30</th>\n",
" <th>revert</th>\n",
" <td>40819.0</td>\n",
" <td>9.783839</td>\n",
" <td>10.742427</td>\n",
" <td>1.609792</td>\n",
" <td>6.491642</td>\n",
" <td>7.873385</td>\n",
" <td>40.568913</td>\n",
" <td>41.273566</td>\n",
" <td>83.289400</td>\n",
" </tr>\n",
" <tr>\n",
" <th>ab</th>\n",
" <td>40763.0</td>\n",
" <td>8.761514</td>\n",
" <td>9.897668</td>\n",
" <td>1.707383</td>\n",
" <td>5.366869</td>\n",
" <td>7.695176</td>\n",
" <td>40.235823</td>\n",
" <td>41.289935</td>\n",
" <td>92.492475</td>\n",
" </tr>\n",
" <tr>\n",
" <th>base</th>\n",
" <td>40795.0</td>\n",
" <td>11.330070</td>\n",
" <td>12.670269</td>\n",
" <td>1.573449</td>\n",
" <td>6.648471</td>\n",
" <td>14.009473</td>\n",
" <td>40.569888</td>\n",
" <td>41.528384</td>\n",
" <td>110.048970</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"</div>"
],
"text/plain": [
" frame_total_duration \\\n",
" count mean std \n",
"test tag kernel \n",
"low_hitrate_text iter_30 revert 40819.0 9.783839 10.742427 \n",
" ab 40763.0 8.761514 9.897668 \n",
" base 40795.0 11.330070 12.670269 \n",
"\n",
" \\\n",
" min 50% 75% 95% \n",
"test tag kernel \n",
"low_hitrate_text iter_30 revert 1.609792 6.491642 7.873385 40.568913 \n",
" ab 1.707383 5.366869 7.695176 40.235823 \n",
" base 1.573449 6.648471 14.009473 40.569888 \n",
"\n",
" \n",
" 99% max \n",
"test tag kernel \n",
"low_hitrate_text iter_30 revert 41.273566 83.289400 \n",
" ab 41.289935 92.492475 \n",
" base 41.528384 110.048970 "
]
},
"metadata": {},
"output_type": "display_data"
},
{
"name": "stderr",
"output_type": "stream",
"text": [
"2019-07-25 10:46:08,562 INFO : root : Results for: edit_text\n"
]
},
{
"data": {
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\n",
"text/plain": [
"<Figure size 1152x576 with 1 Axes>"
]
},
"metadata": {
"needs_background": "light"
},
"output_type": "display_data"
},
{
"data": {
"text/html": [
"<div>\n",
"<style scoped>\n",
" .dataframe tbody tr th:only-of-type {\n",
" vertical-align: middle;\n",
" }\n",
"\n",
" .dataframe tbody tr th {\n",
" vertical-align: top;\n",
" }\n",
"\n",
" .dataframe thead tr th {\n",
" text-align: left;\n",
" }\n",
"\n",
" .dataframe thead tr:last-of-type th {\n",
" text-align: right;\n",
" }\n",
"</style>\n",
"<table border=\"1\" class=\"dataframe\">\n",
" <thead>\n",
" <tr>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" <th colspan=\"9\" halign=\"left\">frame_total_duration</th>\n",
" </tr>\n",
" <tr>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" <th>count</th>\n",
" <th>mean</th>\n",
" <th>std</th>\n",
" <th>min</th>\n",
" <th>50%</th>\n",
" <th>75%</th>\n",
" <th>95%</th>\n",
" <th>99%</th>\n",
" <th>max</th>\n",
" </tr>\n",
" <tr>\n",
" <th>test</th>\n",
" <th>tag</th>\n",
" <th>kernel</th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
" <th rowspan=\"3\" valign=\"top\">edit_text</th>\n",
" <th rowspan=\"3\" valign=\"top\">iter_30</th>\n",
" <th>base</th>\n",
" <td>1708.0</td>\n",
" <td>7.546502</td>\n",
" <td>9.521342</td>\n",
" <td>3.216274</td>\n",
" <td>4.645859</td>\n",
" <td>6.960077</td>\n",
" <td>20.184915</td>\n",
" <td>54.971068</td>\n",
" <td>132.577753</td>\n",
" </tr>\n",
" <tr>\n",
" <th>revert</th>\n",
" <td>1733.0</td>\n",
" <td>7.464199</td>\n",
" <td>9.765535</td>\n",
" <td>3.070224</td>\n",
" <td>4.464052</td>\n",
" <td>6.767315</td>\n",
" <td>21.958495</td>\n",
" <td>56.986681</td>\n",
" <td>107.609369</td>\n",
" </tr>\n",
" <tr>\n",
" <th>ab</th>\n",
" <td>2481.0</td>\n",
" <td>9.932299</td>\n",
" <td>13.525870</td>\n",
" <td>3.256868</td>\n",
" <td>6.406426</td>\n",
" <td>8.905016</td>\n",
" <td>24.159501</td>\n",
" <td>106.724591</td>\n",
" <td>265.316671</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"</div>"
],
"text/plain": [
" frame_total_duration \\\n",
" count mean std min \n",
"test tag kernel \n",
"edit_text iter_30 base 1708.0 7.546502 9.521342 3.216274 \n",
" revert 1733.0 7.464199 9.765535 3.070224 \n",
" ab 2481.0 9.932299 13.525870 3.256868 \n",
"\n",
" \\\n",
" 50% 75% 95% 99% \n",
"test tag kernel \n",
"edit_text iter_30 base 4.645859 6.960077 20.184915 54.971068 \n",
" revert 4.464052 6.767315 21.958495 56.986681 \n",
" ab 6.406426 8.905016 24.159501 106.724591 \n",
"\n",
" \n",
" max \n",
"test tag kernel \n",
"edit_text iter_30 base 132.577753 \n",
" revert 107.609369 \n",
" ab 265.316671 "
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"for test in collector.tests(workload='jankbench'):\n",
" logging.info(\"Results for: %s\", test)\n",
" collector.report(workload='jankbench', metric='frame_total_duration',\n",
" test=\"^{}$\".format(test), sort_on='99%', ascending=True)"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## Energy"
]
},
{
"cell_type": "code",
"execution_count": 7,
"metadata": {
"scrolled": false
},
"outputs": [
{
"name": "stderr",
"output_type": "stream",
"text": [
"2019-07-25 10:46:25,041 INFO : root : Results for: list_view\n"
]
},
{
"data": {
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3P7Kq9k/yyao6Z2r7L5Os7+4vLtdZVe2T5DOZnfC/pbvPrapDklzb3TdPzb6a5LAd1HVFkp/q7puq6oFJTk9y5DTvqCT/Ytrus5P8XJIzu/uaqtq/qu7R3Vcv7Ky735bkbUly5JFH9oYNG3aw+vm7/IQnz7sEdtK6487Kjo6tzZs377DNHcapucNv65U3XJnz331+tmV2Idu2bMv5N56f1z/q9TnkgEPmXN3ybnMcnn2W9xvmYk29HyapE+/474nzcPjhh2efffa5zb7dtGlTDj/88BXt7915HC5Vy33vO/tMcLQ+dt2uHiN7wlp7P1xN9tTtD4ckuXYF7T6Z5Deq6iVJ7rbgBHpH/jDJ06fHz0hy5hJtnpDkzdPVBO/L7JP6gzL7VP4x089vJXloVR2W5Jruvn6F61/siUl+YVrXuUnukeSB07zzthcoJEl3b+vuI5LcJ8lRi8KRnbFfkrdPV2P8UWYhwq3O6+4vTLejnJ7kxxfMuyLJvQfXCbBTTr7k5NzSt9xm2i19i7EVAPaQjRs35phjjsmmTZuydevWbNq0Kcccc0w2bty4Kmq5/vrrc/3116+K+taq1XSMsPrsqdsfbkxylx016u4TpkvyfzazT/d/eiWdd/fXqurqqnpYkmcm+eUlmt0pyaO7+6aFE6vqY0l+JbPbIjYmeVpmAcXHV7LuZVSSY7v7Q4vWtSHJioOK7r62qjYleVKS/5XkblW17xS23CfJ13bQxcuTfDPJwzPb/oXb3otXt+DxXTJ7zQBudxdfcXG23rL1NtO23rI1F11x0ZwqAlhbnv3sZydJjj322GzZsiWHH354jj/++O9Nn3ctb3zjG1dNfWvVajpGWH32SKgwXVK/T1XdZfFJ/UJVdf/u/mySz1bVIzMbd+ArSe66gtWckeTXkhzc3ZcsMf+cJMcm+fVpXUd090Xd/ZXp1oI7d/cXquoTmd2G8eKp3WFJTuvux29n3d9ZVOOHkryoqj7a3Vur6kHZcQCQaX33TLJ1ChQOSPJTSU7s7p4Chqcn+YMkz0/y3mmZpyU5qrv/06LuDk7y1e6+paqen2SfBfOOqqr7ZXb7wzMz3dYwjd3wT5NcvpJ6AXbVmU9d6uIyAPakZz/72avmBHG5WlZLfWvVajpGWF325Lc/nJPbXmK/lJdV1eeq6pIkW5N8MMklSbZNX7H48u0se2aSZ2V2K8RSXpLkyKq6pKo+n9tezXBukr+eHn88s7EKPjE9PzTJjm7DWFzjO5J8PsmF01dnvjUrD3AOTbJp2gfnJ/lwd9/69Y+vTPKrVXVZZrdUnDJNv3+Sby/R128meX5VXZxZQLPwKonzk7w5yZYkX0zyJ9P0RyT59E7cegIAAMAatSe//eEtmV2O/5FpwMb1SdLdm5Nsnh4fu8yyj9tR5939zSzanu5+Z5J3To+vyuwT+aWWfd6Cx5/KbcOWR0+1L7XcQdO/W5eo8VXTz0Kbp59lTVdZ/PAy876Q2QCLix2R2b5d3P5vkjxswaRXTtM3ZzaGxFKel1kYAQAAANu1x0KF7r6wqjZV1T7T4IB7he5+87xr2JHu/vnd2N3nuvtPd2N/AAAA3EHtySsV0t2/vSvLTwM3nrho8he7+2m70u88VNU9kix18v74xV/luCd199vntW4AAAD2Lns0VNhV07cpfGiHDfcCU3BwxLzrAAAAgFF7cqBGAAAA4A5EqAAAAAAMESpwh9Xd8y4BANiN/G4HWH2ECgAAAMAQoQIAAAAwRKgAAAAADBEqAAAAAEOECgAAAMAQoQIAAAAwRKgAAAAADBEqAAAAAEOECgAAAMCQfeddAMBi6447a8eNzl5BmzuAux6+wv3BfEzH4cEH7DfnQgAA5kOoAKwql5/w5B222bx5czZs2HD7F7Mq7Hh/MB9r6zgEAFia2x8AAACAIUIFAAAAYIhQAQAAABgiVAAAAACGCBUAAACAIUIFAAAAYIhQAQAAABgiVAAAAACGCBUAAACAIUIFAAAAYIhQAQAAABgiVAAAAACGCBUAAACAIUIFAAAAYIhQAQAAABgiVAAAAACGCBUAAACAIUIFAAAAYIhQAQAAABgiVAAAAACGCBUAAACAIUIFAAAAYIhQAQAAABgiVAAAAACGCBUAAACAIUIFAAAAYIhQAQAAABgiVAAAAACGCBUAAACAIUIFAAAAYIhQAQAAABgiVAAAAACGCBUAAACAIUIFAAAAYIhQAQAAABgiVAAAAACGCBUAAACAIUIFAAAAYIhQAQAAABgiVAAAAACGCBUAAACAIUIFAAAAYIhQAQAAABgiVAAAAACGCBUAAACAIUIFAAAAYIhQAQAAABgiVAAAAACGCBUAAACAIUIFAAAAYIhQAQAAABgiVAAAAACGCBUAAACAIUIFAAAAYIhQAQAAABgiVAAAAACGCBUAAACAIUIFAAAAYIhQAQAAABgiVAAAAACGCBUAAACAIUIFAAAAYIhQAQAAABgiVAAAAACGCBUAAACAIUIFAAAAYIhQAQAAABgiVAAAAACGCBUAAACAIUIFAAAAYIhQAQAAABgiVAAAAACGCBUAAACAIUIFAAAAYIhQAQAAABgiVAAAAACGCBUAAACAIUIFAAAAYIhQAQAAABgiVAAAAACGCBUAAACAIUIFAAAAYIhQAQAAABgiVAAAAACGCBUAAACAIUIFAAAAYIhQAQAAABgiVAAAAACGCBUAAACAIUIFAAAAYIhQAQAAABgiVAAAAACGCBUAAACAIUIFAAAAYIhQAQAAABgiVAAAAACGCBUAAACAIUIFAAAAYIhQAQAAABgiVAAAAACG7DvvAgAA7ige/rpz8q0bt+7ZlZ591nZn3/Xw4/KdLSfsoWJ2n4MP2C8Xv+aJ8y4DgB0QKgAA7CbfunFrLj/hyXtsfZs3b86GDRu22+ahpx63R2vaXdYdt/2wBIDVwe0PAAAAwBChAgAAADBEqAAAAAAMESoAAAAAQ4QKAAAAwBChAgAAADBEqAAAAAAMESoAAAAAQ4QKAAAAwBChAgCsYlU17xKA24H/28AdhVABAAAAGCJUAAAAAIYIFQAAAIAhQgUAAABgiFABAAAAGCJUAAAAAIYIFQBgNzv99NOzfv367LPPPlm/fn1OP/30eZcES7ryhitz9NlH56obr5p3KbAm3zvX0javpW1da3YYKlTVAVX1Z1W1T1Wtq6rPTdOPrKo3bWe5dVX1nJGiquqpVXXcyLIr7P9T07/DNS7R512q6ryquriqLq2q1y2Yd7+qOreqLquqM6rqzrtjnbtDVb1qweM7V9XHqmrfedYEsDc7/fTTs3Hjxpx00km56aabctJJJ2Xjxo3+eGJVOvmSk3PhNy/MyRefPO9SWOPW4nvnWtrmtbSta9FKrlR4QZJ3d/e2hRO7+4Lufsl2lluXZOiEvbvf190njCy7wv5/dHq4LjtZ43ZOuL+b5HHd/fAkRyR5UlU9epp3YpI3dPcDklyT5JjdsL5dUjN3SvK9UKG7/z7JnyZ55u2xToC14Pjjj88pp5ySxz72sdlvv/3y2Mc+NqecckqOP/74eZcGt3HlDVfmvZe9N53Oey57j6sVmKu1+N65lrZ5LW3rWrSSE9bnZokT76rakOQV3f2UqvrJJG+cZnWSxyQ5IcnhVXVRklO7+w1L9PHpJMd096XT881JXpFkfZIju/vFVXXPJCcnue+02Mu6+5NV9dkkP5HkW0muSvLy7j6tqk5L8q7u/vByG1RV13X3QYtrTPKmadqGJPsneUt3v3Xa1tdnFgg8OMmDFvfZ3Z3kuunpftNPV1UledyCfXhqktcm+a3t1Hd0kp9LclCSfZL8ZFX9xyTPmOr6k+5+TVWdkOQr3f2WabnXJrmuu//nMu3XJflQknOTPCLJeUkOmLb/0u5+bpL3JPkfSX5vibpemOSFSXKve90rmzdvXm4T4HZ13XXXOf6Yu+WOwy1btmTbtm23mbdt27Zs2bJl+Lhdd9xZY0UyF3vy/Wml74dLtTnj6jNy87abkyQ3b7s5r/7Aq/PMe6yuzxXu6Mf+HeV32e74vXx7vHeudmtpm/fEtvr7cI66e9mfJHdO8o0Fz9cl+dz0eEOS90+P/0+SH5seH5RZWPG9+dvp/+VJXjc9PjTJX02Pj07y5unx7yf58enxfZNsmR6fnOTJmQUQ5yd5+zT9b5IcuIP1Xrd4G6bnL0zyn6fH+ye5IMn9pnbXJ7nfDvrdJ8lFmYULJ07TDkly2YI2P3jrPtxOP0cn+WqSu0/Pn5jkbUkqs6tL3p9ZcPPDSf5swXKfn/pfrv26JLckefTifbFoG67cXn3dnUc84hEN87Jp06Z5lwDLHocPechD+qMf/ehtpn30ox/thzzkIUPrmf2qZm/xQ698/x5d30reD9e/c/0/mnbF9Vf0I971iF7/zvXf+3nEux7RV95w5e1Q5Zg9vS/3tDvS/+3d8Xt5d7937g3W0jbviW319+Hul+SC3sF5YXfv8PaHQ5Jcu4M2SfLJJL9RVS9JcrfuvnkFyyTJHyZ5+vT4GUnOXKLNE5K8efo0/X1Jvr+qDkry8cxOlB+T2af+D62qw5Jc093Xr3D9iz0xyS9M6zo3yT2SPHCad153f3F7C3f3tu4+Isl9khxVVesH60iSD3f33y2o64lJ/iLJhZldLfHA7v6LJD9QVfeuqodntu1fWa791NeXuvvT29uGJH9fVXfdhdoB1qyNGzfmmGOOyaZNm7J169Zs2rQpxxxzTDZu3Djv0uB7Tr7k5NzSt9xm2i19i7EVmJu1+N65lrZ5LW3rWrSj2x9uTHKXHXXS3SdU1VlJfjbJJ6vqp1ey8u7+WlVdXVUPy+w+/l9eotmdMvtk/aaFE6vqY0l+JbOrFzYmeVpmAcXHV7LuZVSSY7v7Q4vWtSGzKxVWpLuvrapNSZ6U5H8luVtV7TuFLfdJ8rUVdLNwfZXkf3T3W5do90eZbfc/TXLG9tpPtz+sZDv2T3LTDlsB8I88+9nPTpIce+yx2bJlSw4//PAcf/zx35sOq8HFV1ycrbdsvc20rbdszUVXXDSniljr1uJ751ra5rW0rWvRdkOF7r5m+taHuyw+qV+oqu7f3Z9N8tmqemRmn4x/JclKPu0+I8mvJTm4uy9ZYv45SY5N8uvTuo7o7ou6+ytVdUiSO3f3F6rqE5mNx/Diqd1hSU7r7sdvZ93fWVTjh5K8qKo+2t1bq+pBWVkAkGnsh61ToHBAkp/K7BaIngKGpyf5gyTPT/LeaZmnJTmqu//TDrr/UJLXV9Xvdfd107Zt7e4rMtt/b8/sqpKf3F77ZfreWlX7dffWqaZ7JLnq1ucA7LxnP/vZ/lBiVTvzqUtdHArztRbfO9fSNq+lbV1rVvLtD+ck+fEdtHlZVX2uqi7J7OT1g0kuSbJt+orFl29n2TOTPCuzWyGW8pIkR1bVJVX1+dz2aoZzk/z19PjjSQ5L8onp+aFJdnQbxuIa35HZuAQXTl+d+dasbDDLW9e3adoH52d2+8L7p3mvTPKrVXVZZrdUnDJNv3+Sb++o4+4+J7OxJf58GqDyzExhSM8Gubxrkq9199/uqP0S3pbkkqq6dWDGxya5Y4+KBAAAwG6xkhPmt2Q2oOJHuvvyzAZGTHdvTrJ5enzsMss+bkedd/c3F9fR3e9M8s7p8VVZ5isOu/t5Cx5/KrcNSR491b7UcgdN/25dosZXZcHXLE42Tz/Lmq6y+OFl5n0hyVFLzDois327uP07M23/gmlvzD98w8bi9g9dYtpy7dcvavfKzEKPWz0nyXFLrQcAAAAW2mGo0N0XVtWmqtpnGsRvr9Ddb553DTvS3T8/7xoWqqo7J3lPd//1DhsDAACw5q3o0v7u/u1dWck0cOOJiyZ/sbuftiv9zsM05sCfLjHr8d199Z6uZ3fq7r9Pctq86wAAAGDvsNLxAnbJ9G0KH9phw73AFBwcMe86AAAAYN5WMlAjAAAAwD8iVAAAAACGCBUAYBXr7nmXANwO/N8G7iiECgAAAMAQoQIAAAAwRKgAAAAADBEqAAAAAEOECgAAAMAQoQIAAAAwRKgAAAAADBEqAAAAAEOECgAAAMCQfeddAADAHcm6487asys8e/vru+vhc6hpNzj4gP3mXQK6uglSAAAXWElEQVQAKyBUAADYTS4/4cl7dH2bN2/Ohg0bdtBqz9YEwNri9gcAAABgiFABAAAAGCJUAAAAAIYIFQAAAIAhQgUAAABgiFABAAAAGCJUAAAAAIYIFQAAAIAhQgUAAABgiFABAAAAGCJUAAAAAIYIFQAAAIAhQgUAAABgiFABAAAAGCJUAAAAAIYIFQAAAIAhQgUAAABgiFABAAAAGCJUAAAAAIYIFQAAAIAhQgUAAABgiFABAAAAGCJUAAAAAIYIFQAAAIAhQgUAAABgiFABAAAAGCJUAAAAAIYIFQAAAIAhQgUAAABgiFABAAAAGCJUAAAAAIYIFQAAAIAhQgUAAABgiFABAAAAGCJUAAAAAIYIFQAAAIAhQgUAAABgiFABAAAAGCJUAAAAAIYIFQAAAIAhQgUAAABgiFABAAAAGCJUAAAAAIYIFQAAAIAhQgUAAABgiFABAAAAGCJUAAAAAIYIFQAAAIAhQgUAAABgiFABAAAAGCJUAAAAAIYIFQAAAIAhQgUAAABgiFABAAAAGCJUAAAAAIYIFQAAAIAhQgUAAABgiFABAAAAGCJUAAAAAIYIFQAAAIAhQgUAAABgiFABAAAAGCJUAAAAAIYIFQAAAIAhQgUAAABgiFABAAAAGCJUAAAAAIYIFQAAAIAhQgUAAABgiFABAAAAGCJUAAAAAIYIFQAAAIAhQgUAAABgiFABAAAAGCJUAAAAAIYIFQAAAIAhQgUAAABgiFABAAAAGCJUAAAAAIYIFQAAAIAhQgUAAABgiFABAAAAGCJUAAAAAIYIFQAAAIAhQgUAAABgiFABAAAAGCJUAAAAAIYIFQAAAIAhQgUAAABgiFABAAAAGCJUAAAAAIYIFQAAAIAhQgUAAABgiFABAAAAGCJUAAAAAIYIFQAAAIAhQgUAAABgiFABAAAAGCJUAAAAAIYIFQAAAIAh+867AAAA9j4Pf905+daNW+ddBjvprocfl+9sOWH3d3z2Wbu/z9vJwQfsl4tf88R5lwF3GEIFAAB22rdu3JrLT3jyvMtgJz301ON2++u2efPmbNiwYbf2eXtad9zeE4DA3sDtDwAAAMAQoQIAAAAwRKgAAAAADBEqAAAAAEOECgAAAMAQoQIAAAAwRKgAAAAADBEqAAAAAEOECgAAAMAQoQIA7KSqmncJAMBe7I70t4RQAQAAABgiVAAAAACGCBUAAACAIUIFAAAAYIhQAQAAABgiVAAAAACGCBUAAGAVuPKGK3P02UfnqhuvmncpACu2S6FCVR1QVX9WVftU1bqq+tw0/ciqetN2lltXVc8ZXOdTq+q40ZpX0P+npn+Ha1yiz7tU1XlVdXFVXVpVr1sw735VdW5VXVZVZ1TVnXfQ19FV9ebdUdcy/b+4ql5we/UPAMDSTr7k5Fz4zQtz8sUnz7sUgBXb1SsVXpDk3d29beHE7r6gu1+yneXWJRk6Ye/u93X3CSPLrrD/H50erstO1lhV+y4z67tJHtfdD09yRJInVdWjp3knJnlDdz8gyTVJjtnponev305y7JxrAABYU6684cq897L3ptN5z2XvcbUCsNdY7iR4pZ6bJU68q2pDkld091Oq6ieTvHGa1Ukek+SEJIdX1UVJTu3uNyzRx6eTHNPdl07PNyd5RZL1SY7s7hdX1T2TnJzkvtNiL+vuT1bVZ5P8RJJvJbkqycu7+7SqOi3Ju7r7w8ttUFVd190HLa4xyZumaRuS7J/kLd391mlbX59ZIPDgJA9a3Gd3d5Lrpqf7TT9dVZXkcQv24alJXpvkt5arb/KD0/44LMnvdvfrptrfk+QHk9wlyRu7+21VtU+SU5Icmdn+/+3ufkNV3T/JW5LcM8kNSf7f7v7L7r6hqi6vqqO6+7xF++aFSV6YJPe6172yefPmHZQJt4/rrrvO8cfcHX329cnZZ827DJjrcei9ePc54+ozcvO2m5MkN2+7Oa/+wKvzzHs883ZZ1+5+3fbG38vrjvP+fYe0l/1e3tv+3yxnOFSYLtP/Z919+Q6aviLJr0wn+wcluSnJcZlCh+0sd0aSZyR5TVUdmuTQ7r6gqtYvaPPGzD7l/0RV3TfJh5IcnuSTSX4syZeSfCGzgOG0JD+S5EUr3MTb1DidUH+rux9ZVfsn+WRVnTO1/ZdJ1nf3F5frbDq5/0ySB2QWSJxbVYckuba7b56afTWzoGBHjsosXLkhyflVdVZ3X5DkBd39d1V1wDT9jzO74uKw7l4/1XG3qY+3Jfnl7v6bqnpUkt/MLOBIkgsy22e3CRW6+23TcjnyyCN7w4YNKygVdr/NmzfH8ce8vfNJBzoOmbt5vh+uO+4s/wd2kytvuDLnv/v8bMvs4t9t2Zbzbzw/r3/U63PIAYfs3pWdmt3+uu11v5fPPiuXn/DkeVfBbra3HYd14u7/vzgvu3L7wyFJrl1Bu08m+Y2qekmSuy04gd6RP0zy9OnxM5KcuUSbJyR583Q1wfuSfP8UXHw8sysiHpPZp/4PrarDklzT3devcP2LPTHJL0zrOjfJPZI8cJp33vYChSTp7m3dfUSS+yQ5alE4srM+3N1Xd/eNSd6d5Men6S+pqouTfDqzKxYemFmo8s+q6qSqelKSb0/76EeT/NG0PW9NcuiC/q9Icu9dqA8AgBU6+ZKTc0vfcptpt/QtxlYA9gq7EircmNll9ts1jX/wS0kOyOzT/QevpPPu/lqSq6vqYUmemdmVC4vdKcmju/uI6eew7r4uyccy+6T9J5JsTnJlZgHFx1ey7mVUkmMXrOt+3X3rlQorDiq6+9okm5I8KcnVSe62YCyG+yT52kq6Wfx8ug3jCUl+ZBq74S+S3KW7r0ny8Mz2wy8neUdm++3aBdtyRHcfvqC/u2T2+gIAcDu7+IqLs/WWrbeZtvWWrbnoiovmVBHAyg3f/tDd10zf+nCX7r5puXZVdf/u/mySz1bVIzMbd+ArSe66gtWckeTXkhzc3ZcsMf+czAYV/PVpXUd090Xd/ZXp1oI7d/cXquoTmd2G8eKp3WFJTuvux29n3d9ZVOOHkryoqj7a3Vur6kFZWQCQaeyHrd197XRrwk8lObG7u6o2ZRZ4/EGS5yd577TM05Ic1d3/aYkuf6qq7p7Zif+/zmzAzFuvxLhhCm4ePfVzSJK/7+4/rqq/ymwMhm9X1Rer6t929x9NYzs8rLsvnvp/UGZXmAAAcDs786lLXZALsHfY1W9/OCf/cOn9cl5WVZ+rqkuSbE3ywSSXJNk2fcXiy7ez7JlJnpXZrRBLeUmSI6vqkqr6fGafxN/q3CR/PT3+eGYn3Z+Ynh+aZEe3YSyu8R1JPp/kwumrM9+alYcyhybZNO2D8zO7feH907xXJvnVqross1sqTpmm3z/Jt5fp77wkfzzV+MfTeApnJ9m3qrZkNqDkp6e2hyXZPN3m8LtJbg0pnpvkmOl2iUuT/D8L+v+xJMsOZgkAAADJrn/7w1uSvDzJR6YBG9cnSXdvzuxy+3T3cl9P+Lhlpn9Pd39zcY3d/c4k75weX5XZrRFLLfu8BY8/ldsGKI+eal9quYOmf7cuUeOrpp+FNk8/y5qusvjhZeZ9IbOBFxc7IrN9u7j9OzNt/6Lp303yM8uU8C+XaP/FzG7BuI2q+uEkl3b31cv0BQAAAEl2MVTo7guralNV7dPd23ZXUbe37n7zvGvYke7++Tmt+pAkr57TugEAANiL7OqVCunu396V5avqp5OcuGjyF7v7abvS7zxU1T2S/OkSsx6/t3zy391uewAAAGBFdjlU2FXd/aHMBkHc603BwRHzrgMAAAD2hF0dqBEAAABYo4QKAAAAwBChAgDspO6edwkAwF7sjvS3hFABAAAAGCJUAAAAAIYIFQAAAIAhQgUAAABgiFABAAAAGCJUAAAAAIYIFQAAAIAhQgUAAABgiFABAAAAGLLvvAsAAGDvtO64s+ZdAjvproffTq/b2XvPsXDwAfvNuwS4QxEqAACw0y4/4cnzLoEhu/9127x5czZs2LDb+wX2Dm5/AAAAAIYIFQAAAIAhQgUAAABgiFABAAAAGCJUAAAAAIYIFQAAAIAhQgUAAABgiFABAAAAGCJUAAAAAIYIFQAAAIAhQgUAAABgiFABAAAAGCJUAAAAAIYIFQAAAIAhQgUAAABgiFABAAAAGCJUAAAAAIYIFQAAAIAhQgUAAABgiFABAAAAGCJUAAAAAIYIFQAAAIAhQgUAAABgiFABAAAAGCJUAAAAAIYIFQAAAIAhQgUAAABgiFABAAAAGCJUAAAAAIYIFQAAAIAhQgUAAABgiFABAAAAGCJUAAAAAIYIFQAAAIAhQgUAAABgiFABAAAAGCJUAAAAAIYIFQAAAIAhQgUAAABgiFABAAAAGCJUAAAAAIYIFQAAAIAhQgUAAABgiFABAAAAGCJUAAAAAIYIFQAAAIAhQgUAAABgiFABAAAAGCJUAAAAAIZUd8+7BvZCVXVlki/Nuw7WrEOSXDXvIljzHIesBo5DVgPHIauB43D3+6HuvueOGgkVgL1OVV3Q3UfOuw7WNschq4HjkNXAcchq4DicH7c/AAAAAEOECgAAAMAQoQKwN3rbvAuAOA5ZHRyHrAaOQ1YDx+GcGFMBAAAAGOJKBQAAAGCIUAFY1arqLlV1XlVdXFWXVtXrpumPq6oLq+pzVXVqVe0771q546uqfarqL6rq/dPz+1XVuVV1WVWdUVV3nneN3LEtcQy+eDr+uqoOmXd9rA1LHIe/V1V/Nf1O/u2q2m/eNXLHt8RxeMr09+IlVXVmVR007xrXCqECsNp9N8njuvvhSY5I8qSq+tEkpyZ5VnevT/KlJM+fY42sHS9NsmXB8xOTvKG7H5DkmiTHzKUq1pLFx+Ankzwhs/dB2FMWH4e/l+TBSR6a5IAkvzSPolhzFh+HL+/uh3f3w5J8OcmL51PW2iNUAFa1nrluerrf9LMtyd93919P0z+c5N/Moz7Wjqq6T5InJ3nH9LySPC7JmVOTU5P86/lUx1qw+BhMku7+i+6+fG5FseYscxx+YPp93UnOS3KfedXH2rDMcfjtaV5lFm4ZPHAPESoAq950edtFSa7ILEA4L8m+VXXk1OTpSX5wXvWxZvzvJL+W5Jbp+T2SXNvdN0/Pv5rksHkUxpqx+BiEeVj2OJxue3hekrP3dFGsOUseh1X1O0m+kdmVMyfNoa41SagArHrdva27j8jsk4+jkjwkybOSvKGqzkvyncyuXoDbRVU9JckV3f2ZedfC2uQYZDVYwXH4m0k+1t0f34NlscZs7zjs7l9Mcu/Mbot45p6uba0SKgB7je6+NsmmJE/q7j/v7p/o7qOSfCzJX29/adglP5bkqVV1eZI/yOy2hzcmuduCQULvk+Rr8ymPNeAfHYNV9bvzLYk1aNnjsKpek+SeSX51fuWxRmz3/bC7t03T3Rq7h9Ts1ieA1amq7plka3dfW1UHJDkns8HxzuvuK6pq/yQfSHJ8d390nrWyNlTVhiSv6O6nVNUfJfnj7v6Dqjo5ySXd/ZvzrZA7uoXH4IJplyc5sruvmlddrC2L3gt/KckLkjy+u2+cb2WsJbceh0n+VZL7d/dl05gKv54k3f2KOZa3ZrhSAVjtDk2yqaouSXJ+kg939/uT/Meq2pLkkiT/R6DAnLwyya9W1WWZjbFwypzrYY2pqpdU1Vczu1Lmkqp6x46WgdvByUnuleTPq+qiqvov8y6INaeSnFpVn03y2cz+fvyv8y1p7XClAgAAADDElQoAAADAEKECAAAAMESoAAAAAAwRKgAAAABDhAoAAP9/e3caY3dVxnH8+wUKJW0pwWgCJlojmyZAKVuiVJE0TRSEGsSiGBiLRokiLhBJqAQKsjUmCglGRcAFtalbGkgsCCgFilRaWqqx8AKIURNxYS1WlscX/zN4Z3rLLE5LQ3+fZHLvPff8n/PMuW/mPv9zzkRERMS4pKgQEREREREREeOSokJERERskXqhes44r12kzpmgPGaoHxlFv5nq+0bR7xj1ponIbVtSB9TH1Wvb68PVq/6PeM+M87ob1X+qHxzv2BER8dqQokJERERsFVV1QVX9aoLCzQBGLCoAM4ERiwqvFnXnCQizpKo+DlBVv6uqz05AzDGpqlOBZdt63IiI2P6kqBARERFDqOerD6l3AQf0tL9V/aV6v7pCPVCdrj6m7tT6TFH/pE5Sbxi8k60eod6jrlXvU6epO6uL1VXqOvWTr5DW5cBs9QH18+pk9Xr1QXWN+h51V2ARML/1m68eqa5sfe5RD3iFMXrnYIp6Xct1jXpiax9Qf9bm4WH1yp5r5raxVqtL1amt/VH1CnU1cHKbi3Utx8Xq+tbvTnVmT7y71ENGyPPlFRfqXuovWux71YNb+5DVJup6dUafWOf2fBYX9czDze1zW6/OH838RUTEjmOXVzuBiIiI2H6ohwGn0N3x3wVYDdzf3v4W8Kmqelg9Crimqo5VHwDeDdwBHA8sr6rn1cGYuwJLgPlVtUrdA3gOOAN4sqqOUHcD7lZvqapH+qR2HnBOVR3fYn4RqKo6SD0QuAXYH7gAOLyqPtP67QHMrqoX2laMS4GTRjEV5wO3V9UCdU/gPnVw1cVM4FBgE7BBvbr9PguBOVX1rPol4At0RQ6Af1TVrJbTeuATVbVSvbxnzO8AA8Dn1P2ByVW1dhS5DroIWFNV89Rjge+1XEekzgX2A44EBJap7wJeD/ylqo5r/aaPIZ+IiNgBpKgQERERvWYDP6+qjQDqsvY4FXgHsHSwWADs1h6XAPPpigqnANcMi3kA8NeqWgVQVU+1mHOBg3v25U+n+2Lbr6gw3NHA1S3eH9XH6IoKw00HvqvuBxQwaRSxAeYCJ/Tc4Z8MvKk9v62qnmy/wx+ANwN7Am+nK4wA7Aqs7Im3pPXfE5hWVYPv/ZCuEAOwFPiyei6wALhhlLkOOppWMKmq29XXtaLKaMxtP2va66l0n8UK4KvqFcBNVbVijDlFRMRrXIoKERERMRo7AU9UVb8738uAS9W9gMOA20cZU+Csqlo+QTn2czFwR1V9oC35//UorxM4qao2DGnsVmhs6ml6ke7vKYFbq+rDW4j37EgDVtVG9VbgROBDdHM5EV5g6JbXyX36CFxWVd/c7A2dRXdOxSXqbVW1aLOrIyJih5UzFSIiIqLXncA8dXd1GvB+eHl1wSPqyQB2DmnvPQOsAr5Odzf7xWExNwB7q0e0a6epuwDLgTPVSa19f3XKFvJ6GpjW83oFcOrgdXSrCDb06Tcd+HN7PjCGeVgOnGVbdqAeOkL/e4F3qvu2/lNaXkNU1RPA0604Ad3Kjl7XAlcBq6rqX2PIF4bOyTHA39vn9igwuPViFvCWPtcuBxb0nAPxRvUN6j7Axqr6AbB4ME5ERMSgrFSIiIiIl1XVanUJsBb4G12xYNCpwDfUhXTbCH7c+kG3vH8pcEyfmP9pB/xdre5Od/7AHLov0DOA1e3L++PAvC2ktg54UV1Lty3gmpbLg3R34geqapN6B3BeO+fhMuBKuu0PC4GbxzAVFwNfA9bZHUL5CP/bprCZqnpcHQB+1M6HgO6MhYf6dD8D+Lb6EvAb4MmeOPerTwHXjyHXao8XAtep64CNwOmt/afAaervgd/2y6mqblHfBqxsdZRngI8C+wKLW67PA2eOIa+IiNgBWFUj94qIiIiICaFObas7UM8D9q6qs9vrfei2aBxYVS/1uXaAoQdRngScUFWnD++7tak30K1M+cm2HjsiIrYf2f4QERERsW0d1/6d5Hq6gzEvAVBPo1tJcH6/gkLzHPBe9Vr1BOArwGbnIGxt6o10//Hj39t67IiI2L5kpUJERERsN9SDgO8Pa95UVUf16z8B430MOHtY891V9emtMV5ERMRrTYoKERERERERETEu2f4QEREREREREeOSokJEREREREREjEuKChERERERERExLikqRERERERERMS4pKgQEREREREREePyXzC/Uv6HC73nAAAAAElFTkSuQmCC\n",
"text/plain": [
"<Figure size 1152x576 with 1 Axes>"
]
},
"metadata": {
"needs_background": "light"
},
"output_type": "display_data"
},
{
"data": {
"text/html": [
"<div>\n",
"<style scoped>\n",
" .dataframe tbody tr th:only-of-type {\n",
" vertical-align: middle;\n",
" }\n",
"\n",
" .dataframe tbody tr th {\n",
" vertical-align: top;\n",
" }\n",
"\n",
" .dataframe thead tr th {\n",
" text-align: left;\n",
" }\n",
"\n",
" .dataframe thead tr:last-of-type th {\n",
" text-align: right;\n",
" }\n",
"</style>\n",
"<table border=\"1\" class=\"dataframe\">\n",
" <thead>\n",
" <tr>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" <th colspan=\"9\" halign=\"left\">device_total_energy</th>\n",
" </tr>\n",
" <tr>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" <th>count</th>\n",
" <th>mean</th>\n",
" <th>std</th>\n",
" <th>min</th>\n",
" <th>50%</th>\n",
" <th>75%</th>\n",
" <th>95%</th>\n",
" <th>99%</th>\n",
" <th>max</th>\n",
" </tr>\n",
" <tr>\n",
" <th>test</th>\n",
" <th>tag</th>\n",
" <th>kernel</th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
" <th rowspan=\"3\" valign=\"top\">list_view</th>\n",
" <th rowspan=\"3\" valign=\"top\">iter_30</th>\n",
" <th>ab</th>\n",
" <td>30.0</td>\n",
" <td>39.730009</td>\n",
" <td>1.215991</td>\n",
" <td>38.260110</td>\n",
" <td>39.361309</td>\n",
" <td>40.015744</td>\n",
" <td>42.149849</td>\n",
" <td>42.591649</td>\n",
" <td>42.766335</td>\n",
" </tr>\n",
" <tr>\n",
" <th>revert</th>\n",
" <td>30.0</td>\n",
" <td>41.105474</td>\n",
" <td>0.647984</td>\n",
" <td>40.056063</td>\n",
" <td>41.051742</td>\n",
" <td>41.336282</td>\n",
" <td>42.328694</td>\n",
" <td>42.759176</td>\n",
" <td>42.865832</td>\n",
" </tr>\n",
" <tr>\n",
" <th>base</th>\n",
" <td>30.0</td>\n",
" <td>41.721412</td>\n",
" <td>0.824024</td>\n",
" <td>39.988265</td>\n",
" <td>41.870768</td>\n",
" <td>42.268037</td>\n",
" <td>42.838052</td>\n",
" <td>43.173462</td>\n",
" <td>43.272237</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"</div>"
],
"text/plain": [
" device_total_energy \\\n",
" count mean std min \n",
"test tag kernel \n",
"list_view iter_30 ab 30.0 39.730009 1.215991 38.260110 \n",
" revert 30.0 41.105474 0.647984 40.056063 \n",
" base 30.0 41.721412 0.824024 39.988265 \n",
"\n",
" \\\n",
" 50% 75% 95% 99% \n",
"test tag kernel \n",
"list_view iter_30 ab 39.361309 40.015744 42.149849 42.591649 \n",
" revert 41.051742 41.336282 42.328694 42.759176 \n",
" base 41.870768 42.268037 42.838052 43.173462 \n",
"\n",
" \n",
" max \n",
"test tag kernel \n",
"list_view iter_30 ab 42.766335 \n",
" revert 42.865832 \n",
" base 43.272237 "
]
},
"metadata": {},
"output_type": "display_data"
},
{
"name": "stderr",
"output_type": "stream",
"text": [
"2019-07-25 10:46:25,565 INFO : root : Results for: image_list_view\n"
]
},
{
"data": {
"image/png": 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\n",
"text/plain": [
"<Figure size 1152x576 with 1 Axes>"
]
},
"metadata": {
"needs_background": "light"
},
"output_type": "display_data"
},
{
"data": {
"text/html": [
"<div>\n",
"<style scoped>\n",
" .dataframe tbody tr th:only-of-type {\n",
" vertical-align: middle;\n",
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"\n",
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"<table border=\"1\" class=\"dataframe\">\n",
" <thead>\n",
" <tr>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" <th colspan=\"9\" halign=\"left\">device_total_energy</th>\n",
" </tr>\n",
" <tr>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" <th>count</th>\n",
" <th>mean</th>\n",
" <th>std</th>\n",
" <th>min</th>\n",
" <th>50%</th>\n",
" <th>75%</th>\n",
" <th>95%</th>\n",
" <th>99%</th>\n",
" <th>max</th>\n",
" </tr>\n",
" <tr>\n",
" <th>test</th>\n",
" <th>tag</th>\n",
" <th>kernel</th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
" <th rowspan=\"3\" valign=\"top\">image_list_view</th>\n",
" <th rowspan=\"3\" valign=\"top\">iter_30</th>\n",
" <th>ab</th>\n",
" <td>30.0</td>\n",
" <td>44.282529</td>\n",
" <td>1.219223</td>\n",
" <td>42.986078</td>\n",
" <td>43.851159</td>\n",
" <td>44.712043</td>\n",
" <td>46.901812</td>\n",
" <td>47.686387</td>\n",
" <td>47.970372</td>\n",
" </tr>\n",
" <tr>\n",
" <th>revert</th>\n",
" <td>30.0</td>\n",
" <td>45.807149</td>\n",
" <td>0.717988</td>\n",
" <td>44.676280</td>\n",
" <td>45.626545</td>\n",
" <td>46.137636</td>\n",
" <td>46.984371</td>\n",
" <td>47.803272</td>\n",
" <td>48.092097</td>\n",
" </tr>\n",
" <tr>\n",
" <th>base</th>\n",
" <td>30.0</td>\n",
" <td>46.264990</td>\n",
" <td>0.735112</td>\n",
" <td>45.120363</td>\n",
" <td>46.181261</td>\n",
" <td>46.832311</td>\n",
" <td>47.612769</td>\n",
" <td>47.681919</td>\n",
" <td>47.698555</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"</div>"
],
"text/plain": [
" device_total_energy \\\n",
" count mean std \n",
"test tag kernel \n",
"image_list_view iter_30 ab 30.0 44.282529 1.219223 \n",
" revert 30.0 45.807149 0.717988 \n",
" base 30.0 46.264990 0.735112 \n",
"\n",
" \\\n",
" min 50% 75% 95% \n",
"test tag kernel \n",
"image_list_view iter_30 ab 42.986078 43.851159 44.712043 46.901812 \n",
" revert 44.676280 45.626545 46.137636 46.984371 \n",
" base 45.120363 46.181261 46.832311 47.612769 \n",
"\n",
" \n",
" 99% max \n",
"test tag kernel \n",
"image_list_view iter_30 ab 47.686387 47.970372 \n",
" revert 47.803272 48.092097 \n",
" base 47.681919 47.698555 "
]
},
"metadata": {},
"output_type": "display_data"
},
{
"name": "stderr",
"output_type": "stream",
"text": [
"2019-07-25 10:46:26,099 INFO : root : Results for: shadow_grid\n"
]
},
{
"data": {
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\n",
"text/plain": [
"<Figure size 1152x576 with 1 Axes>"
]
},
"metadata": {
"needs_background": "light"
},
"output_type": "display_data"
},
{
"data": {
"text/html": [
"<div>\n",
"<style scoped>\n",
" .dataframe tbody tr th:only-of-type {\n",
" vertical-align: middle;\n",
" }\n",
"\n",
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"<table border=\"1\" class=\"dataframe\">\n",
" <thead>\n",
" <tr>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" <th colspan=\"9\" halign=\"left\">device_total_energy</th>\n",
" </tr>\n",
" <tr>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" <th>count</th>\n",
" <th>mean</th>\n",
" <th>std</th>\n",
" <th>min</th>\n",
" <th>50%</th>\n",
" <th>75%</th>\n",
" <th>95%</th>\n",
" <th>99%</th>\n",
" <th>max</th>\n",
" </tr>\n",
" <tr>\n",
" <th>test</th>\n",
" <th>tag</th>\n",
" <th>kernel</th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
" <th rowspan=\"3\" valign=\"top\">shadow_grid</th>\n",
" <th rowspan=\"3\" valign=\"top\">iter_30</th>\n",
" <th>ab</th>\n",
" <td>30.0</td>\n",
" <td>38.230187</td>\n",
" <td>1.258685</td>\n",
" <td>37.224085</td>\n",
" <td>37.738997</td>\n",
" <td>38.211336</td>\n",
" <td>41.268459</td>\n",
" <td>41.848147</td>\n",
" <td>41.851035</td>\n",
" </tr>\n",
" <tr>\n",
" <th>revert</th>\n",
" <td>30.0</td>\n",
" <td>39.184402</td>\n",
" <td>1.049061</td>\n",
" <td>37.569590</td>\n",
" <td>39.442607</td>\n",
" <td>39.778997</td>\n",
" <td>40.805274</td>\n",
" <td>41.615378</td>\n",
" <td>41.749595</td>\n",
" </tr>\n",
" <tr>\n",
" <th>base</th>\n",
" <td>30.0</td>\n",
" <td>39.621764</td>\n",
" <td>1.088676</td>\n",
" <td>37.567230</td>\n",
" <td>39.718924</td>\n",
" <td>40.570723</td>\n",
" <td>41.087107</td>\n",
" <td>41.422116</td>\n",
" <td>41.534935</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"</div>"
],
"text/plain": [
" device_total_energy \\\n",
" count mean std \n",
"test tag kernel \n",
"shadow_grid iter_30 ab 30.0 38.230187 1.258685 \n",
" revert 30.0 39.184402 1.049061 \n",
" base 30.0 39.621764 1.088676 \n",
"\n",
" \\\n",
" min 50% 75% 95% \n",
"test tag kernel \n",
"shadow_grid iter_30 ab 37.224085 37.738997 38.211336 41.268459 \n",
" revert 37.569590 39.442607 39.778997 40.805274 \n",
" base 37.567230 39.718924 40.570723 41.087107 \n",
"\n",
" \n",
" 99% max \n",
"test tag kernel \n",
"shadow_grid iter_30 ab 41.848147 41.851035 \n",
" revert 41.615378 41.749595 \n",
" base 41.422116 41.534935 "
]
},
"metadata": {},
"output_type": "display_data"
},
{
"name": "stderr",
"output_type": "stream",
"text": [
"2019-07-25 10:46:26,606 INFO : root : Results for: low_hitrate_text\n"
]
},
{
"data": {
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\n",
"text/plain": [
"<Figure size 1152x576 with 1 Axes>"
]
},
"metadata": {
"needs_background": "light"
},
"output_type": "display_data"
},
{
"data": {
"text/html": [
"<div>\n",
"<style scoped>\n",
" .dataframe tbody tr th:only-of-type {\n",
" vertical-align: middle;\n",
" }\n",
"\n",
" .dataframe tbody tr th {\n",
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"<table border=\"1\" class=\"dataframe\">\n",
" <thead>\n",
" <tr>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" <th colspan=\"9\" halign=\"left\">device_total_energy</th>\n",
" </tr>\n",
" <tr>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" <th>count</th>\n",
" <th>mean</th>\n",
" <th>std</th>\n",
" <th>min</th>\n",
" <th>50%</th>\n",
" <th>75%</th>\n",
" <th>95%</th>\n",
" <th>99%</th>\n",
" <th>max</th>\n",
" </tr>\n",
" <tr>\n",
" <th>test</th>\n",
" <th>tag</th>\n",
" <th>kernel</th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
" <th rowspan=\"3\" valign=\"top\">low_hitrate_text</th>\n",
" <th rowspan=\"3\" valign=\"top\">iter_30</th>\n",
" <th>ab</th>\n",
" <td>30.0</td>\n",
" <td>37.537803</td>\n",
" <td>0.769030</td>\n",
" <td>36.893353</td>\n",
" <td>37.236406</td>\n",
" <td>37.641361</td>\n",
" <td>39.129463</td>\n",
" <td>40.049997</td>\n",
" <td>40.337952</td>\n",
" </tr>\n",
" <tr>\n",
" <th>revert</th>\n",
" <td>30.0</td>\n",
" <td>38.680829</td>\n",
" <td>0.752868</td>\n",
" <td>37.008605</td>\n",
" <td>38.920395</td>\n",
" <td>39.199395</td>\n",
" <td>39.608488</td>\n",
" <td>39.859924</td>\n",
" <td>39.921812</td>\n",
" </tr>\n",
" <tr>\n",
" <th>base</th>\n",
" <td>30.0</td>\n",
" <td>39.517112</td>\n",
" <td>1.130327</td>\n",
" <td>37.363963</td>\n",
" <td>39.652270</td>\n",
" <td>40.275946</td>\n",
" <td>41.107149</td>\n",
" <td>42.123849</td>\n",
" <td>42.526697</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"</div>"
],
"text/plain": [
" device_total_energy \\\n",
" count mean std \n",
"test tag kernel \n",
"low_hitrate_text iter_30 ab 30.0 37.537803 0.769030 \n",
" revert 30.0 38.680829 0.752868 \n",
" base 30.0 39.517112 1.130327 \n",
"\n",
" \\\n",
" min 50% 75% 95% \n",
"test tag kernel \n",
"low_hitrate_text iter_30 ab 36.893353 37.236406 37.641361 39.129463 \n",
" revert 37.008605 38.920395 39.199395 39.608488 \n",
" base 37.363963 39.652270 40.275946 41.107149 \n",
"\n",
" \n",
" 99% max \n",
"test tag kernel \n",
"low_hitrate_text iter_30 ab 40.049997 40.337952 \n",
" revert 39.859924 39.921812 \n",
" base 42.123849 42.526697 "
]
},
"metadata": {},
"output_type": "display_data"
},
{
"name": "stderr",
"output_type": "stream",
"text": [
"2019-07-25 10:46:27,114 INFO : root : Results for: edit_text\n"
]
},
{
"data": {
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\n",
"text/plain": [
"<Figure size 1152x576 with 1 Axes>"
]
},
"metadata": {
"needs_background": "light"
},
"output_type": "display_data"
},
{
"data": {
"text/html": [
"<div>\n",
"<style scoped>\n",
" .dataframe tbody tr th:only-of-type {\n",
" vertical-align: middle;\n",
" }\n",
"\n",
" .dataframe tbody tr th {\n",
" vertical-align: top;\n",
" }\n",
"\n",
" .dataframe thead tr th {\n",
" text-align: left;\n",
" }\n",
"\n",
" .dataframe thead tr:last-of-type th {\n",
" text-align: right;\n",
" }\n",
"</style>\n",
"<table border=\"1\" class=\"dataframe\">\n",
" <thead>\n",
" <tr>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" <th colspan=\"9\" halign=\"left\">device_total_energy</th>\n",
" </tr>\n",
" <tr>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" <th>count</th>\n",
" <th>mean</th>\n",
" <th>std</th>\n",
" <th>min</th>\n",
" <th>50%</th>\n",
" <th>75%</th>\n",
" <th>95%</th>\n",
" <th>99%</th>\n",
" <th>max</th>\n",
" </tr>\n",
" <tr>\n",
" <th>test</th>\n",
" <th>tag</th>\n",
" <th>kernel</th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
" <th rowspan=\"3\" valign=\"top\">edit_text</th>\n",
" <th rowspan=\"3\" valign=\"top\">iter_30</th>\n",
" <th>ab</th>\n",
" <td>30.0</td>\n",
" <td>12.487825</td>\n",
" <td>0.588920</td>\n",
" <td>11.842765</td>\n",
" <td>12.312308</td>\n",
" <td>12.664496</td>\n",
" <td>13.517742</td>\n",
" <td>14.208489</td>\n",
" <td>14.451613</td>\n",
" </tr>\n",
" <tr>\n",
" <th>revert</th>\n",
" <td>30.0</td>\n",
" <td>12.880181</td>\n",
" <td>0.517480</td>\n",
" <td>12.182765</td>\n",
" <td>12.731565</td>\n",
" <td>13.197795</td>\n",
" <td>13.609577</td>\n",
" <td>14.326816</td>\n",
" <td>14.573685</td>\n",
" </tr>\n",
" <tr>\n",
" <th>base</th>\n",
" <td>30.0</td>\n",
" <td>12.974146</td>\n",
" <td>0.552029</td>\n",
" <td>12.315300</td>\n",
" <td>12.843456</td>\n",
" <td>13.207105</td>\n",
" <td>14.097780</td>\n",
" <td>14.620984</td>\n",
" <td>14.675767</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"</div>"
],
"text/plain": [
" device_total_energy \\\n",
" count mean std min \n",
"test tag kernel \n",
"edit_text iter_30 ab 30.0 12.487825 0.588920 11.842765 \n",
" revert 30.0 12.880181 0.517480 12.182765 \n",
" base 30.0 12.974146 0.552029 12.315300 \n",
"\n",
" \\\n",
" 50% 75% 95% 99% \n",
"test tag kernel \n",
"edit_text iter_30 ab 12.312308 12.664496 13.517742 14.208489 \n",
" revert 12.731565 13.197795 13.609577 14.326816 \n",
" base 12.843456 13.207105 14.097780 14.620984 \n",
"\n",
" \n",
" max \n",
"test tag kernel \n",
"edit_text iter_30 ab 14.451613 \n",
" revert 14.573685 \n",
" base 14.675767 "
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"for test in collector.tests(workload='jankbench'):\n",
" logging.info(\"Results for: %s\", test)\n",
" collector.report(workload='jankbench', metric='device_total_energy',\n",
" test=\"^{}$\".format(test), sort_on='mean', ascending=True)"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## Frames Duration CDF"
]
},
{
"cell_type": "code",
"execution_count": 8,
"metadata": {
"scrolled": false
},
"outputs": [
{
"name": "stderr",
"output_type": "stream",
"text": [
"2019-07-25 10:46:27,487 INFO : root : Results for: list_view\n"
]
},
{
"data": {
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\n",
"text/plain": [
"<Figure size 1152x432 with 1 Axes>"
]
},
"metadata": {
"needs_background": "light"
},
"output_type": "display_data"
},
{
"name": "stderr",
"output_type": "stream",
"text": [
"2019-07-25 10:46:28,150 INFO : root : Results for: image_list_view\n"
]
},
{
"data": {
"image/png": 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\n",
"text/plain": [
"<Figure size 1152x432 with 1 Axes>"
]
},
"metadata": {
"needs_background": "light"
},
"output_type": "display_data"
},
{
"name": "stderr",
"output_type": "stream",
"text": [
"2019-07-25 10:46:28,733 INFO : root : Results for: shadow_grid\n"
]
},
{
"data": {
"image/png": 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57lbRN1luxXpI+gNEQ5tHNLB+q1xf8mu/Dd+GqGyUzCiGRjGEUgCl1MDDKGecUhowx4P4OQzLhKkyYVAmFZRJhWWCMCKwMqkwIgzi6TCISIVlUkEJM8cCx8wJBl4HcVUWOEEQ77gg6TPYL+kbEA1vMycgeVj8CQU2NB0kW2zJp2wWfzrBQMCxpB3HjKF+le8Z5blyGSOfR1/G6MsZa1mTqaHyGZyg4j26mITMhqf+7XwevOo11S5DROaZT2H3u/v5E/WbcKR0Jrn79cD1ABtO2uCnXXDaXK5eJmFl08o5WU97ezsbN26ck3XJ/DOZ/d+zFzbfCI/eFrGtVKQzH9FVdPqCiFJDRLEhotTglBrj1+U6p5xxoorH4HSa5HkoNLkRvw6S8DYYqOJ2Nx+al0xXzp+73+wnHokBkrDhg8/BGNPjzRuvb0DESrrIUGIR/bRGvSzyPE3kyVEkayUylMlYiZRFs/+xjCLyJHYNew6SPxYERMlfA5zkjxMVfQfjpFdEOR/eDgPB3SqmB74IlvRn8HkwBo6YrvzjxmA9ybLjeRXx0w9/31A9FZF28GsxMD2wfMCS7fahWgfX6wFWsa1UfG5U1D3wtbOK/w4tH2zEdlnl/EHGwY6DLGptxbyydfgyzYfPGWWtFbXFP4peUeOInqNMj1jfYKkjtmtguvLtfviybLBp6A9Ww9Zjo21T5apG1jJavbF0FLCsf8Qfj8fsPvZyKvvYyG4+bPa4y6p87/GnNXD8yLGGEW977NFHOeXUU0d9/xjljT9b7z+q3v/www9z5plnVm398+X9Y75vgfb/1PPH6D/CTITS54A1FdOrkzYRkSnb+yj85M+dn5Z62Pw7hzjw6fy4ATATGbnIyEUBaYycOzki6ojI4dRZmSwROYvIWETayqStTEhEijKhlQkpk7IofqZMQJkUEQHxvIChUbeh0abkeWAEjqhi9Gp438r5JMsyr4wiEcOjSTx+Ojjtw6cr24b6zx2zFKlMI6mwkTBcShhkCSyNWZogSGEWPwJLYRYOThshmzY9yhlnnI1ZgBEm80MCSwEBZkk4siAOOhhm8V8DLGkfem1YMgZoE/52IPNB/Aep51W7DKmS/e17OGPjqRN3lAXpuboDrN9Y7SpkvpqJUHoj8EEzuwG4EDik80lFZDq23gbXfTjPzz+3h4MnFllTTnPZ4lZOTENreT915T2kSvsJy51Y1IdHfUSex72Eexn3MhOe6DEFZiFGOG5AGghHEAxvO6xvapRQNUrfMULX4QFsKMAZwST7Boct10bUfnjbwPIDUkE9qVQjgWWnHQILfXtoqj9x+jtFREREFpwJQ6mZfQvYCCw1s+3AVUAawN3/D3AzcAnwJNAL/M5sFSsiC1fXTvjqnxb46dd20tRifL5tGRuzJfZ2/JTOg4/ilOOOliVMLyIMGwjTrYRBJhmJCwefgxHTZikCwsP6xaN5o7fbYJATERERkdk0mavvXj7BfAd+f8YqEpGa9NOrnNv/Yi+5Jvj66pUsLe9m6/Z/wynT2nweDXXHk8uuIB02KyyKiIiILCBzeqEjEZHR9B+EH+7t4cCZef66rY22aB+/2fVvpMJ6jl3xLjLp1mqXKCIiIiKzRFeGF5Gqe+hrsOl9B1lbTvOa+izbdn+b0LIcu+LdCqQiIiIiC5xCqYhUlUfwox/lOXhagXcta+Zg130US4dYteyNZNKLql2eiIiIiMwyhVIRqaqtt8JjG3oxh1fUZ9h78E4a606goe64apcmIiIiInNAoVREquqhf4a9L+nl1EyWdH4rUdTP0kUvrHZZIiIiIjJHFEpFpGq6d8OmmyP2nZnntxrq6OrdQhjUUZ9bW+3SRERERGSOKJSKSNXccy3sX1cgCuC0dJqevqdorD8RM/3TJCIiIlIr9JufiFRF3wG49zqoe0cBgJNTBUrlHuqyq6tcmYiIiIjMJYVSEamKWz8GhS4IXlug0YxF5b0A1GVXVLkyEREREZlLqWoXICILkzt4GaIyRKWhR7EXtl6/jm3fghd8FL7WlGeDZcmXngMgm2mrcuUiIiIiMpcUSkUm4J4EqmL8XC6OeD1yXjI93rzDpsvx/TorH/jhbYOPMeaN+R4HxllOZWisfHh57HmDjzH6eHm8T3UtZ70HNn7G+fi2Aq9vaqJY7CAM6gmD3JzsVxERERGZHxRKpWYV+2DXg7D74fix7zHo3gU9e6GcHwqN44erOWRgQfKofD3Kg/HmjzYvhCA1yiMHwVjzUmO/b8zlJe270vfxuivOZ1uxRI87J2UyFLoPkEkvrvanLCIiIiJzTKFUakr/QfjV12HTDbDjPijH19gh2wJtp0LbaXDcMkjlIEjHASpMnoP08NdTmTc4Pca8IIyD3FjhEYunF4r29m4AHi8kFznKZCiUOqjPHVvNskRERESkChRKpWZsvgluej/07IFjzoQLPwRrXgArzoHmNQsr9B0tNufzBMCJ6YCtpUNkUq3VLklERERE5phCqdSEzTfBDa+H5WfD5T+AVRdUuyIB2FwocFw6TVDuBNDhuyIiIiI1SKFUFrxSHm7+vXh09Hd/Hh+aK/PD5kKBM7NZCqUDAGTSGikVERERqTW6T6kseI/cAJ3b4eK/VSCdT7qiiOdKpfgiR8WBUKqRUhEREZFao1AqC95DX4UlJ8G6i6tdiVTanM8DcHI2S6HYQWAZwqC+ylWJiIiIyFxTKJUFrXsXPHMnnPF2Xchovhl25d1ifDsY004SERERqTkKpbKgbb0NcNjw2mpXIiM9ks+zNAxZGoYUSh06n1RERESkRimUyoK27W7INMExZ1W7Ehnp4Xyes7JZwCkWO8ikdD6piIiISC1SKJUFbdvdsPr5EITVrkQq9ZvxbLHIqdksxVInTkRaI6UiIiIiNUmhVBasfCfs/jWseUG1K5GRns1kcODUitvBZHXlXREREZGapFAqC9buXwMOK8+rdiUy0uZcjhA4K5sdvB1MWqFUREREpCYplMqCteeR+HnZ6dWtQ4YruXNvQwPn5nK0hCGFYgdGSDpsqnZpIiIiIlIFCqWyYO3+FWSboeXYalcilb7d2cn+VIr3trQAUCh2kE63YqZ/jkRERERqUaraBYjMln2PQdupuj9ptbg7eXd63emJIg5FEb/q7+faAwc4ua+Pi+rrASiUDuh2MCIiIiI1TKFUFqSoDDsfhNMvO7LllN3pd6cviuh3p+hOOWmPiA9FjYASEI01L3kuJ/MnmjewHK9oK7vjEE8nryPABx4VbSRtA/1GPiL3wT6Dy6loq1wu4yzHR7T3udMbRfEjeV0e5TM9MZ3mXQcOYGa4O8XiARpyx01n94iIiIjIAqBQKgvSnkcgf2j0K+92RxH39fXxXKnErlKJnaUSB6OIQ+UyPe70RxF9SRgtuB++gDlkQAgEZoTJdJBMW8W0VUwPtJG0BxXtNkrf8eYF8UJGX/aI5S8JAtakUtQHAfVm8XPyuiEIaAwCTspkWJ1KcftTTwFQKvcQeVEjpSIiIiI1TKFUFqStP4mfj31R/By5c2tPDzd0dnJ/fz+lpF8aWJ5KsTgMWRqGHJsEqZxZ/AgC6syoCwKyZqTNSBEHs1QSyMIkMAYD8yqew4r5I/sMm5csK6iYNxA2F7JicjuYjK68KyIiIlKzFEplQXrkW7DyAlh0HBwsl/nArl38Op9nTSrFu1taeFF9PSdmMiwKAoIFHvzms3xhHwCZ9JIqVyIiIiIi1aJQKgvO/i2w8wF4xefjEdI/2r2bx/N5PtPWxusbGwkVQueN3vx2wiBHJqXDd0VERERqle7BIAvOr78FGJz+NvhFXx/39vfzZ0uX8samJgXSeaa3/xnqc2sX/GHKIiIiIjI2hVJZUIq98OD/D8dthKaV8N2uLhYFAW9obKx2aTJCsdRFoXiA+pxuJCsiIiJSyxRKZUGIStC5Hb53OXRug42fgn2lErf19HBpUxPZQF/1+aaz5zEAGutOqHIlIiIiIlJNOqdUxuUOXoZyEaJiHP4GXle2RaX43qBRKe4flZPnUsXrivl7H27jkV0Vyyokj+T1YFvFvKhiXrEvvuVL927o2Q29+xm8seYlX4ZjXwz/fLCbEvDmpqZqfoQyCrMiHZ33kU0vI5c9ptrliIiIiEgVKZTOY+5Q6jEKXUax2yh2BRR7jFKPUc4b5X6j1G+U+0meh9rL/UYpz2Bbqdco9RlR0YiK4OX4OSpaHByTZ0oVgTN5PTtO49EJelgAYQaCdPwcZiBMD7XVtcKSDbD2hdBwDDQeA6suhJXnxe+/t7+fE9Jp1mUys7URMgF3pxz1USr3UC73UCh10J/fzeKVD5AvllhzzNuqXaKIiIiIVFnVQmlhf5avNK8cnH7D7XsB+P5FbYNt536si/M+3sU3NhxD764QgKVnF3jjHfu48w9bePxrDYN93755F/seSvNfbxu6tcQL/+Egp/xO77D1rH1VP6/8zgFueetinv1xbrD9is4dPPbP9dz1oUWDba/49n6Wnl3kmyctH2w7+b09vOiLh/jPFy9l30Nx2KlfXuYdW3Zz/1838cA1Q6Nyk92mxrUlTnlfL0/eUEfH4+nBvkEuIuqf/mGnDavKlPPQvy8cbFt8RpHsojI77xza9uZ1JVZtzPPMj7Pk98dt6Qb4rQ/Dtv+GZ+8YWubzPwxhCu7+7FDbKW+C0y+Hm66A/o5kPSfCa/8Rfn4tPPGDob7v+DHs2wy3fGio7WV/A2e9Bz4/tJtY/xp4+w/gW6+DLRXvv8rh/uvhB/9zqO2yG+Mg+vlVQ23nXOFs+kSettvquPp347bGFfDhHdD+Kbj96qG+V9wXP3/l/KG2i66KDwH++5XQvTNuW3EuXHk/3HQlPPCVob5//BzsuB9ueD1gTpAuc8l1EWe/t8znlkUEqYggVWbdxRGvvT7ihx+MePbOCAsdCyPe/4uIx2+MuOcLEUEYYamIF18VsfiEiB98IMKStuNfGnHmuyPu+puIrp1xe6414kWfiHj6ZxHP3BH3s8A5670REPHItz1eZhix4nxnxTkRm/7dKRcjLIioW+Ic/9KIXQ9HdO2I32thxJrfjsj3OAe2RBDG7S3HRtS1RuzbHPexMCLdGFG/xOk/GBGVh7Yp3RARlR0LIkYq96fY+8tj+fXnXs4JL1zO666H68+Lr5g8Z/sp8dp/hPOuhKsrrrO04bVw+U3T/+6dewXapnG3aSO3L7htitu0TZPZpnj/L6xtimmbJrNNG9mw4LZpIe6n2dmm9X+8AjYurG1aiPtpNrZpMszdp/aOGbLhpA3efl97VdZdDVEJnvtpluduz7Lnlxk6t4b07Q2H9Uk3RzQsL1O3PKL+mDL1yyPq2iIyzRHpRifdFJFucFJ1TljnpHJOmHPCHIOvgyP8M8PKppUTd5oB7e3tbNy4cdaWv7tU4qXPPsvHlyzhHS0t4/Z1d4qlQxSK+ymUOiiWDiUje71EXiCKSrgXibyEe3wsshPhHuGUwSteV51hBGABhmEWAEFyddvg8OnD5g1/jxGMOW9Yn2R9I/saAWFYTypsIAwbSKeayaRauf32O2Z1/8v8Nds/+zK/af/XNu3/2qb9X5vM7H53P3+ifjp8d5b17Qt4+IsNPPHNevr2hIRZZ+k5BdZe0s+iDSVaTizRckKZxtVlUvXV+QPBQrQpnwfgtGx21Pmlci8dXQ/Q3bOF/sIuIq88TjlIQlQ9gWUIgjSB1WOWSoJWCGaYhUmoC4eC2WBb/HogpBlh0lYZ8oLB4IYFg+8bs33cPkYcBHVrFRERERE5uiiUzqKdd2f46fta6dsTsPaV/Wx4Zx+rX95PKjfxe+XIPJbPEwAnjTifNPIy+w7exb6Dd+NepC67ikVN55DNLCObXkIm3UoqbFa4ExERERGZIwqls+TpG3Pc9p5Wmo4r88Y79rLkjFK1S6opTxaLrE6lqKu4FUw5yrNt1w309P+G5oZTaWu9iFxmWRWrFBERERERhdIZVuqHh7/QyAPXNLH07CKX3LifTLMOy51rvykWOS49dNEod2fH3pvo6X+GVW1vYFHTWVWsTkREREREBiiUzqDOrSE/etMSOp9KccKbe3nhFw4pkFaBu7OtWOTC3NBx0oe6f0VnzyaWLX6ZAqmAw2txAAAgAElEQVSIiIiIyDyiUDpD9j2U5sdvWkxUMl79n/tZ/bJ8tUuqWfvKZfrcWZOMlLo7ezvuJJdZwdKWF1S5OhERERERqTT9m2DKoM7fhNz8+iWEOed1/7VPgbTKtpXi83cHQmlf/jkKpQMsablQFzASEREREZlnNFJ6hDyC2z+wCHd4zU37aV43H+5VWdt2FOPbu6xKxV/vrt7NQEBT/YYqViUiIiIiIqNRKD1C22/Nsuu/s7zoiwcVSOeJ7clI6UAo7c/vJpdpIwzrqlmWiIiIiIiMQofvHqEHPttEw6oy6y/vrXYpkniuVGJpGJJLbgdTKO4nk15a5apERERERGQ0CqVHoOuZkD33Zjj997sJs9WuRgZsS+5RChB5mUKpg2x6SZWrEhERERGR0UwqlJrZq8xss5k9aWYfG2X+WjP7mZk9aGYPm9klM1/q/LPzrgwAq1+qCxvNJ1uLRdZl4n1TLB4AnIxCqYiIiIjIvDRhKDWzEPgy8GrgVOByMzt1RLc/B77j7ucAlwHXzXSh89HOu7JkF5dpPblU7VIk0RNF7C+XWZuMlOaL+wE0UioiIiIiMk9NZqT0ecCT7r7V3QvADcClI/o40Jy8bgF2zFyJ89ee+9Icc2ER00HQ88b25Mq7A7eDyRf3AZDJKJSKiIiIiMxHk4lTq4BtFdPbk7ZKnwLeaWbbgZuBP5iR6uaxUh8ceiLF0jOL1S5FKgzco3R1EkoLxf2kwgbCIFfNskREREREZAwzdUuYy4Gvufvfm9lvAV83s9PdParsZGZXAlcCtLW1seneTTO0+rnXvaUJj1bSnd3Kpnv3VLucGbMl2DIn6+nu7qa9vX3Gl/vTpiZobWXbPfewz51Fy7bipGZlXTJ9s7X/Zf7Tvq9t2v+1Tfu/tmn/y3gmE0qfA9ZUTK9O2ir9LvAqAHf/uZnlgKXAsLTm7tcD1wNsOGmDn3bBadMsu/qefDq+5+UZl6xg8altVa5m5qxsWjkn62lvb2fjxo0zvtyf7NnDsr4+Xn3RRQA8/pt7aW44mXNOnfl1yfTN1v6X+U/7vrZp/9c27f/apv0v45nM4bv3AuvN7HgzyxBfyOjGEX2eBV4GYGanADlg70wWOt90PRsC0HRsucqVSKWni0WOSw7dLZX7KEe9uvKuiIiIiMg8NmEodfcS8EHgFuAx4qvsbjKzT5vZ65NuHwauMLNfAd8C3uvuPltFzwfd20Oyi8ukGxb0Zh5V3J2ni0WOT24HU9CVd0VERERE5r1JnVPq7jcTX8Cosu2TFa8fBV4ws6XNbz3bQprWapR0PtlbLtMZRaxLRkqLpQ4A0unWapYlIiIiIiLj0M1MpqlrW0jDaoXS+aS9txeA83LxlXaLpU4A0qmWqtUkIiIiIiLjUyidpp7nQhoVSueVm7u7WZdOc3Jy+G6x1ElgGcIgW+XKRERERERkLAql01Dqh2JXQN2yaOLOMice7u/nvv5+Xt3YiJkBUCx1aZRURERERGSem6n7lNaU/v1xlq9bWruh1N2JgDIQJa8joOyOV7SXk/aB154870ineTyfH9b3sOW5UwIK7uTdKVQ8Bqa7ooinCwV+2d/PqlSKy5ubB2sslTtJpZoREREREZH5S6F0Gvr2xLeDyc1hKHV3ikDRoTDw7E4BKHj8yOPxc8W8/Ih5BSdZztDyis5g+LND2ykmrwcexeS5Mmge8TWHV6yA50be7nbqsmYcm07z2sZG/mdrK61hODivWOqksX7h3ENWRERERGQhqlooPRSmuHhv/+D0lxfF5wH+/sHCYNu76kPe3ZDmbfv7OZDkv/Up47rWLNd2Fbm5f+iczm8tzvJEKeKTncXBtj9qTPGauuHreX4m4C9bMvzFoQL3FIZC5U/acvywr8QXukuDbZ9uTrM+FXD5gfxg2yW5kDfvzfKT/7ud75xegL2wOIBvL8nxrz1Fvt47VNNY2/TO+hSX7c/TkSS7lQG8oyHNTX0lHi8Nxb1TU8b+yNk9g9m3Hsgag+sGaDFYExpPl5w+4lqzZryyoYEnCgUeKwzV/4bGRgLgP7q7B9suzOV4YX09/6ejg57kTkDLw5ArW1v5QVcXD+SHPr9PLFnCjlKJfz50aLDtsqYmLmpo4P/btWuw7axslg8vXsy1Bw7wYMX7f7Z2LT/q7uZzBw4AkHfnD1tbOS2b5SXPPjvY7y2NDbyl3M33e4zrurYC0BaGtB97LF8+cIDrDh4c7PudVasAeGtFSP69RYv4/cWL2fjMM+wtx/v01EyG765ezVV79/LvXV3DatqUz/PB3bsH265aupS3Njdz2tatg20X1ddz3fLl/N6uXdyeXJQJYNO6dXyns5Or9+0bbPvSMccctk1vbmri6rY23rJ9O48m++So3aa1a2Hr1oW1TQtxP83GNiX7fkFt00LcT7O1Tcn+X1DbtBD302xt09q1fCf5//QFs00LcT/N0jZd3tDARlhQ27QQ99NsbNNkWLVuJ7rhpA3efl97VdZ9pJ78dh0/u6KVt9y/m0XrJ77Y0TOliLvyEb8uRuwoO7uj+PDU0QRAs0FzYEPPyet6M7IGGYMMkDareB0HySzx/GzFvKxBKjnPciIrm1ZO7kM4Qu3t7WzcuHHWll8sdbLl2WtZsfS1LG4+b9bWI9Mz2/tf5i/t+9qm/V/btP9rm/Z/bTKz+939/In66fDdaejviM8pzbaOHejdnV8VI77VW+aBYhxB14XGSWnjoiCgtSJsxsETms1oMAYv1CPTN3Q7GJ1TKiIiIiIynymUTkO+Iw6N2UWHj3cW3LkzH/GffSU2l5wlAfxuQ4qLsyFLQoXNuTIYSkOFUhERERGR+UyhdBryHQHp5oig4tP7TSnixr4yP+kv0098juYfNKZ4RS4kp5HPOVcqx6FUV98VEREREZnfFEqnIX8wINs6NEp6c1+Jf+guEQAvzYa8NBdwTjogUBitmmKpE7MUYZCrdikiIiIiIjIOhdJpyHcE5JJQenu+zLXdJS5IB3y0OU1LoCA6HxRLnaRTzTo/V0RERERknlMonYZ8R0C21dlbdj7fVeTUlPGpljQZBaB5o1Tu0vmkIiIiIiJHgaDaBRyN8h1GtjXiuu4iZYePNiuQzjfF0iGdTyoiIiIichRQKJ2GfEdAz7oCdxUi3lofsjLUxzifuEfJ4bst1S5FREREREQmoDQ1Re5xKN18bh8Ar87pCOj5plg6BDiZ1KJqlyIiIiIiIhNQKJ2iYpfhZeOxE/OcnDLadO/ReSdf3A9AJr2kypWIiIiIiMhEFEqnKN8RUKyP2L64zPkZfXzzUb6wF4Bspq3KlYiIiIiIyESUqqYo3xFw6KQCbrA+pY9vPuov7CIVNpIK66tdioiIiIiITECpaoryHUbn+gIAx6V06O581Nv/LHXZ1dUuQ0REREREJkGhdIr6OwIObSiQdVgeKJTON4XiAYqlgzTUHVftUkREREREZBIUSqco3xHQta7IKoxA9yadd/Yf+gUATfUnVbkSERERERGZDN3PZIryHQE9p5dYn1YgnQ3uDjhOBB7hePIcJfMi3CPAibxAqdRNoXiA/uIe+vqfo7+wk9bm88mkdTsYEREREZGjgULpFOUPGr3LSyxLHz2DzHGYK+FejB9REfcCUE4CXjkJfmUO+A7cy8MflA5v8zKRl3EGppM+g2EyAh8jXOIsWZXnsd/cc3gffFrbGFiGXHYFxyx+BUtaLpzBT09ERERERGZT1UJpGBbo2PuVwemmRW8AoOvg9wfbcvXnUtdwHgf3fwOPeuP3pZbS3PpGerrupND/+GDflsVvp1TaR0/nfw221Te+kGzdKcPWk86spbHllXQfuoVi4dnB9ta2K8j3PUZv912DbQ3NryCVWsqhA98c6rfxDMr1Z/Pq/E109MX3w7SgnkVL3kFfz/309z4wY9vU2HIJ5dI++np+WVH/8YSpxfT33j/YZlZHmFpMubQP9/xQe1CPR3mgPPLjH1Nv1/jzw6AOs5BSuXuwLRU2kUkvpj+/E0/WFViWxvp19OV3USx1DPZtbjidctRHufwUUVQCoKFuHXXZlew7OPTZZ9JLaG06h46uhygU9w22r1z6Onr6n+FQ98MVbZfSULeOJ7ZdS2//M+w+8F+0Np3LyrbX8dT26+kv7EzqbOSkYz/MngPt7D14++D71626AoCtzw19T9oWXcSyxRvZ/MzfD25rLrOCE1ZfyY69N9HRNbSfN6z9Y/rzO3h29w2DbSuWvpbFzeexaevVg22N9Rs4dvnlPLPrW3T3bhlsP23dVRzovJ+d+34w2Lb2mMvIZVey5dnPD7YtpG1qWwubtt6+oLZpIe6n2dimtrXdbNp6+4LapoW4n2ZrmwZ+9hfSNi3E/TRb29S2FvryGxbUNi3E/TRb25RrWA+woLZpIe6n2dimybB4FG3ubThpg7ff116VdR+Jb320ka/+yT4+0ZRmYy6c9nKicjfl0gFKpf1E5YNEUQ9R1EsU9YIXJ7GEEAsymKUxS8fTFoKlMELMUmBhMj+DWSrul/SP20IgGHzGQpY3rsQsHHoQYrNw7mx7ezsbN26c8eXK0UH7v3Zp39c27f/apv1f27T/a5OZ3e/u50/UT4fvTtHBMAJgyTSuvFsuHaSQf5pi4WnKpf2D7RY0EASNhKnFpIM1mGUJghxm2ThABpkkRGYqQuXsHD6cTjXNynJFRERERERGo1A6RZ2ZeGS5dQqZ0D2ir+de8n3xIadh6hjqGi4klV5GGC7GgsxslCoiIiIiIjLvKZROUVcmHiltneRIabnUQW/33ZSKO8nkTqGu/hyCsGE2SxQRERERETlqKJROUXe9kypC/TiZ1N0pFbeT79tEsbANLE1900VkcxvmrlAREREREZGjgELpFPU0RjT2BWNe/KdU3EVv9z2US3sxqyNXfy7ZulMJgro5rlRERERERGT+UyidgnIe+lrLNOUPP6HUvUhv150U8k9hQT31jS8mkzsxubKtiIiIiIiIjEahdAoKnQH5JSWWloaPkrqX6D70Y0rF3eTqzyVXf2ZymxYREREREREZj0LpFOQPGoVFEU0+fKS0r/seSsVdNDS9lEzuhCpVJyIiIiIicvSZnZtdLlCFQwHF5jKNFUfklsud5PsfJ5s7VYFURERERERkihRKp6C/0yg2OY0V48v5vscByNWfU6WqREREREREjl4KpVNwsDt+bs4OtRULz5BKryQI66tTlIiIiIiIyFFMoXQKOnviCxy15OLpKOojKh8knVlVxapERERERESOXgqlU3CoPwmljQ7E9yQFSKWXV60mERERERGRo5lC6RR05uPnluTw3VJxDxASppZWrSYREREREZGjmULpFHQV4xHSRotHTKNyB2HYglk43ttERERERERkDAqlU9Bdjp8bkk+tXD5EELZUryAREREREZGjnELpFHTHA6U0muEeEZW7CMPm6hYlIiIiIiJyFFMonYIei1NpvYFHfYAThI3VLUpEREREROQoplA6BX0pJ5M3QjOiKL5pqQUNVa5KRERERETk6KVQOkkeQV/aqSskFzmKegA0UioiIiIiInIEFEonqW9fQKEpoj4aCKW9AARBfTXLEhEREREROaoplE5S746QYlNEQ5xJ8XIfYJjlqlqXiIiIiIjI0UyhdJJ6dgaUGiMaU/F0FPVgQT2W3LNUREREREREpk6hdJJ6doQUGyOas/F0FPXp0F0REREREZEjpFA6SZ1bUxQbI5qSHOreRxDo0F0REREREZEjMalQamavMrPNZvakmX1sjD5vNbNHzWyTmX1zZsusvs6nQkqNTkPyiUVRP2Z11S1KRERERETkKJeaqIOZhcCXgYuB7cC9Znajuz9a0Wc98GfAC9y9w8yWzVbB1eAOux5KU845dck5pB71YxopFREREREROSKTGSl9HvCku2919wJwA3DpiD5XAF929w4Ad98zs2VWV+dTIZ09cRitN3CPgDJm6eoWJiIiIiIicpSbcKQUWAVsq5jeDlw4os8GADO7GwiBT7n7j0cuyMyuBK4EaGtrY9O9m6ZT85zb/cNVlBoWA3DwmR081nuAFWth97YD9HQdHdswWVuCLXOynu7ubtrb2+dkXTL/aP/XLu372qb9X9u0/2ub9r+MZzKhdLLLWQ9sBFYDd5jZGe5+sLKTu18PXA+w4aQNftoFp83Q6mfXnq8sIlxbAmD9ulWclGql88C9rDhuDdncSVWubmatbFo5J+tpb29n48aNc7IumX+0/2uX9n1t0/6vbdr/tU37X8YzmcN3nwPWVEyvTtoqbQdudPeiuz8NbCEOqQvCrrszND2/AAwcvhu/NstUsywREREREZGj3mRC6b3AejM73uIUdhlw44g+3yceJcXMlhIfzrt1Buusms7fhHRvS9Fwbh4gvtCRFwF0TqmIiIiIiMgRmjCUunsJ+CBwC/AY8B1332Rmnzaz1yfdbgH2m9mjwM+Aj7j7/tkqei5t/V5825eGc+Ig2mDg0UAo1UipiIiIiIjIkZjUOaXufjNw84i2T1a8duCPk8eCke8wHrmugVUv6YdlZeiGerOKw3c1UioiIiIiInIkJnP4bs265+Mt9B8IeN7VXfR63BafU6rDd0VERERERGaCQukYtt+WZcs36jnrf3Wz9OwivR6n0jpd6EhERERERGTGKJSOotht3PmhFhZtKHLOn3YB0OtxIA3MBkdK0UipiIiIiIjIEZmp+5QuKPd+uonubSGvu2U/qVzc1uPxobuQjJRaGjOrXpEiIiIiIiILgEZKR9h1T4ZN/9jAaVf2sDy5NylAnzv1SQh1L+p8UhERERERkRmgUFqhnIc7P9hC4+oyF1zVNWxeTxTfDgbikVKdTyoiIiIiInLkdPhuhUe/0sDBLWle+d39pBt92LwedxoGRkojjZSKiIiIiIjMBI2UJvr2BTz4uSZWvaSfta/MHza/26Eh+bQ0UioiIiIiIjIzFEoTD1zTSKHL+K3Pdo46v8edRp1TKiIiIiIiMqMUSoFDT4U89tUGTn5vL60nl0btU3lOKQqlIiIiIiIiM0KhFLj36mbCjHPuR7tGnV90Jw9D55R6AQt0+K6IiIiIiMiRqvlQuv/XKZ7+fh1nfqib+uXRqH16kmseNQTg7jp8V0REREREZIbUfCh99J8aCHPO6R/oGbNPdxSn0vic0hLgutCRiIiIiIjIDKjpUFo4ZDz57TpOeHMf2VYfs1/3wEipxRc5AjRSKiIiIiIiMgNqOpQ+9b06Sr0Bp7xv7FFSgC6PU2lzYHhUiBs1UioiIiIiInLEajqUPvPDHM0nlGg7rzhuv67kVNMmjZSKiIiIiIjMqJoNpaU+2HFXhjUX92M2ft/OZKS0KTDc45FSnVMqIiIiIiJy5Go2lO68O0u5L2DNy/MT9tVIqYiIiIiIyOyo2VC6/dYsYc5Z8aJJhFJ36g1SZkOhNFAoFREREREROVI1HUpXvCBPqm7ivl2R05wc46vDd0VERERERGZOTYbSrmdCDm5Js+biiUdJATodmpJPSofvioiIiIiIzJyaDKXbbs0CsPri/kn174ycpoGrIUUF4o8tnJ3iREREREREakhNhtLtP8nSeGyJlhPLk+q/L3KWBgOH7xYxS2MTXbJXREREREREJlRzobRcgOduz7Lm5fkJbwUDUHRnfwTHJAOjA6FUREREREREjlzNhdI9v8xQ6glYM8lDd3eXHQeWhUMjpSiUioiIiIiIzIiaC6W7fxFfNfeY5xcm1f+xkgOwPhV/VBopFRERERERmTm1F0p/maFlfZHcYp9U/4eLEU0Gx4fDzykVERERERGRI1dTodQddt+TmfQoaZ87d+XLnJcJCEyhVEREREREZKbVVCjtejok3xGw7PzihH1L7ny+q0i3w/+oSw3NUCgVERERERGZMamJuywcex+Mw2TbueOPlD5RjPiH7iKbS877G1Kckh7K7hopFRERERERmTk1FUr3PZghzDqtp5TG7POT/jLXdhVpNPhEU5qNuXDYfIVSERERERGRmVNToXTvQ2kWn1YkzBw+r9+dL3QVuS0fcVY64BPNaVqD4TcydS8DkW4JIyIiIiIiMkNqJpS6w4Ffpzn+0r7D5j1ZivhsZ5Fnys6761NcXh+SMhtlGfG5qBopFRERERERmRk1E0rzBwLyHQGLNgw/dPe+QplPHirSFMBftaS5IBOOsQTA4/cqlIqIiIiIiMyMmgmlh56Mw2bLiUOh9Nb+Mp/vKrImNK5ZlDnscN2R3OMLJJnVzMcmIiIiIiIyq2rmljAHn4iDZMv6OJTe3Ffis11FTk0H/N0kAilUhNJglJNSRUREREREZMpqZsjv0BMpgrTTdGyZTcWIL3WXOD8dcHVLmswo54+OxqOBkVKFUhERERERkZlQUyOlzetK9AXOX3UWaAuMP2uefCCFysN3FUpFRERERERmQk2NlLacWOIrPSX2R/CFRWmaJ3HIbiWFUhERERERkZlVEyOlUQk6t6YoXtDPzf1l3lAXckp66puuc0pFRERERERmVk2E0u5nQ6Kice/GHlLAZfXTGyD2qAgYNTTALCIiIiIiMqtqIpQefCJFoanML1cVuDgXTupKu6NxL2CWwaZwHqqIiIiIiIiMrSZCadczITtf2ksxgFflwmkvJw6l6RmsTEREREREpLbVRCjt2RGy8yW9LDI4KTX9Uc7I81iQm8HKREREREREaltNhNLuXQG7LurjgkxAcASH3nrUh5lCqYiIiIiIyEypiVC6tb5MoTniwsz0D90F8KifQCOlIiIiIiIiM6YmQukTxxewCM7NTH9z3Z0o6sOC+hmsTEREREREpLbVRCh97oQ8K3alaJrmVXchPnQXygRh08wVJiIiIiIiUuMWfCg99HTAwXVF1vQe2aG7UdQJQKhQKiIiIiIiMmMWfCh98MdZ8ksiTlvjR7SccukAAEG4aCbKEhERERERESYZSs3sVWa22cyeNLOPjdPvTWbmZnb+zJV4ZG5vLQDw28uPbDnFwnYsaCAIGmegKhEREREREYFJhFIzC4EvA68GTgUuN7NTR+nXBHwI+MVMF3kkNm3Is+bxDMemjuQiR0WKhe1kMsdiR3BLGRERERERERluMkntecCT7r7V3QvADcClo/T7S+CzQP8M1ndEthcjOtaUOGNH5oiW09/7K6BMJrd+ZgoTERERERERAFKT6LMK2FYxvR24sLKDmZ0LrHH3H5rZR8ZakJldCVwJ0NbWxqZ7N0294in4eakVTlzMyt372XTv9mktI1e/n9a2zfT1tLHjN3uBvTNb5DyzJdgyJ+vp7u6mvb19TtYl84/2f+3Svq9t2v+1Tfu/tmn/y3gmE0rHZWYB8HngvRP1dffrgesBNpy0wU+74LQjXf24fvRYRNhf5LfPWcqaC1qm/P5832P0dm8hTC1j5XGXsOr49CxUOb+sbFo5J+tpb29n48aNc7IumX+0/2uX9n1t0/6vbdr/tU37X8YzmVD6HLCmYnp10jagCTgdaE/Ot1wO3Ghmr3f3+2aq0Ol4ioiWxzO0nhxN6X3uTn/v/fT3Pkgqs4bG5pdhtvADqYiIiIiIyFybzDml9wLrzex4M8sAlwE3Dsx090PuvtTdj3P344B7gKoHUndne2OZ1scz1K8sT/59UYHertvp732QTO4kGptfoUAqIiIiIiIySyYcKXX3kpl9ELgFCIGvuvsmM/s0cJ+73zj+Eqpjd+T055zlu1MEYXHC/uVyF/29D1HofwIok6s/j1z9ObraroiIiIiIyCya1Dml7n4zcPOItk+O0XfjkZd15J4sOQBresJx+7lH5Pseoa/nPsDJ5DaQzZ1CKr10DqoUERERERGpbUd8oaP56slShJXh+HDsI5SjqJ+ezlspFXeS/n/t3Xl8VNX9//HXmcm+s4mEsMlWCMSgoFgVUKQgYEDrAqJ+rUUfCsWtrYoIFYpfrVprUdRWq8Dvi4KAIFpFXIgKIhggyr4pQgAVQoTsy8z5/THDCCSBACGTmXk/Hw8fZO49c+/n5uSOeefce25EC2LiLsHhjKvDKkVEREREREJb0IbSrSWW+O3hNGxe9SRH1pZTcPB9XBUHiInvTWRUhzquUERERERERII2lG4rtyRtiCS+VUWldda6KTz0Ma6KXOISfkN4ZEs/VCgiIiIiIiI1mX034BxyWw44LUmbIohvWXnm3eLCFZSX7SI67tcKpCIiIiIiIn4UlKF0p8szyVHilgjiWx0dSsvL9lBavI7IqM5ERXf2R3kiIiIiIiLiFZyhtMJzH2nSzjCiGv9yT6m1booLlmMcsUTHXeiv8kRERERERMQrKEPpXpfFUQFNwgxHPma0rHQ7LtcBYmIvxJigvZ1WREREREQkYARnKHVb4veFkdD8yFFSS0nR1zidDQmPPMeP1YmIiIiIiMhhwRlKXZbYnWHENf/lflJXxY+4XXlERnfBHDl8KiIiIiIiIn4TtKE0+ttwYo8IpWWl3wJOIqI0SioiIiIiIlJfBF0oPeS25FuI+y6c2GRPKLXWUla6g/CIFIwJ93OFIiIiIiIicljQhdLd3sfBxO0IJ6aZJ5S6XQex7kLCI1r4szQRERERERE5RtCF0r2HQ+nOcN89pRXlewEIC0/2W10iIiIiIiJSWdCF0h+8oTQ2J4yYZM/suxXlP2JMNA5ngj9LExERERERkWMEXSj9yW2JKTZEuAxRjTyh1OU6gDOskWbdFRERERERqWeCL5S6LAm5TmKTXRjjmeTI5TqEMyzR36WJiIiIiIjIMYIvlLotsT+E+SY5Ki/bAbacsLCm/i1MREREREREKgmqUGqt5UeXJWpnOLHNPJfulhR9jcOZSHhkGz9XJyIiIiIiIscKqlCab6EEiNgaRmxzF253Ka6KfUREtsOYoDpUERERERGRoBBUSe3wzLvROyKIaebCVbEPgLBwXborIiIiIiJSHwVVKP3R7W/huMYAACAASURBVAmlMXvCiD3bRUW5N5SGNfFnWSIiIiIiIlKNoAql+1y/hNKYs924KnJxOBIwjgg/VyYiIiIiIiJVCapQ+pPbEu6CyAMOopu6cFXsxxneyN9liYiIiIiISDWCK5S6LEmFTgyG6KZFuN35unRXRERERESkHguqULrPbUk44CA8zo0jynM/qTOssZ+rEhERERERkeoEVSj90WWJ/TGM6Kae+0kBnGG6fFdERERERKS+CppQWmYteRZidoUR28xFRUUuDkccDkeUv0sTERERERGRagRNKP3JO/NuxPZwYpq6cFXkapRURERERESkngueUOp9RmnYpnBiU0pxuw4qlIqIiIiIiNRzwRNKvSOlUd9FkNj5R8DiDGvo36JERERERETkuIInlLotxkL0D2HEtTg8865GSkVEREREROqzIAqlkFhhcJYbIpvkAmE4HPH+LktERERERESOI2hC6Y8uS4NCz+GExR/AGZaEMcbPVYmIiIiIiMjxBE0o/cltSTzoBMCEH8DpTPJzRSIiIiIiInIiQRFK3dayz2WJ2xdGZMMSLIU4wxr4uywRERERERE5gaAIpT9bKAdidjtp3ONHABxOhVIREREREZH6LihCqe9xMN+H0zDNO/OuLt8VERERERGp94IilP7o9oTS8I3hJHbYBzhwODXzroiIiIiISH0XFKH08EipY10EsS1ycTgTMCYoDk1ERERERCSoBUVy+8ltiQbMnnCizsrD6Uz0d0kiIiIiIiJSA0ERSve5LI1dBhxuwuJ/xqFQKiIiIiIiEhCCIpT+5LYklTiIOfsQxuHG6Uzwd0kiIiIiIiJSA0ERSve5LIkHncS2ygPAoVAqIiIiIiISEAI+lJZZy88WYnOdxLU8ACiUioiIiIiIBIqAD6W53sfBRO8NI77tAcCBwxHr36JERERERESkRgI+lB5we/6N2BVGQrsDOJxxehyMiIiIiIhIgAj49HbAO1Ia9n0Yca3ycDh06a6IiIiIiEigCPhQut/lCaWOzWFEN83TzLsiIiIiIiIBJPBDqdsSDjh/rMAZXYbDGe/vkkRERERERKSGAj6U5rotDY0hqsEhQDPvioiIiIiIBJIahVJjzABjzGZjzDZjzENVrL/fGLPBGPONMeZjY0yr2i+1avvdkFRuiGvleRyMLt8VEREREREJHCcMpcYYJzAVuBLoDAw3xnQ+ptkaoLu1Ng2YCzxZ24VWJ9dtSSxyENsyD9BIqYiIiIiISCCpyUjpBcA2a+231toyYBYw5MgG1tol1toi78svgZTaLbN6+12WuENO4lrmYV0xGBNWV7sWERERERGR01STUNoc2HXE6xzvsur8Hnj/dIqqqSK3pQSIOeAktuUBXborIiIiIiISYGp1WNEYcxPQHehdzfo7gDsAmjRpwvqv1p/W/n4KC4eUllRsLiKuVx75+VHk7Di9bYa6LY4tdbKfgoICMjMz62RfUv+o/0OX+j60qf9Dm/o/tKn/5XhqEkp3Ay2OeJ3iXXYUY8wVwDigt7W2tKoNWWv/DfwboEPHDja1R+pJF3ykijIXHCynSUk80U3ziYrpQMo5p7fNUJccn1wn+8nMzKRPnz51si+pf9T/oUt9H9rU/6FN/R/a1P9yPDW5fPcroL0xpo0xJgIYBiw8soExphvwLyDDWvtT7ZdZtVy359/EQ4WAZt4VEREREREJNCcMpdbaCuAPwAfARuBNa+16Y8wkY0yGt9lTQBwwxxiTbYxZWM3matUBtwUgrrQA0My7IiIiIiIigaZG95Raa98D3jtm2YQjvr6iluuqkVy3JQKICj8IgMMZ748yRERERERE5BTV5PLdemu/29LYYYhseBBXaQTGRPm7JBERERERETkJAR1Kc92WBhhimufhKkzEGOPvkkREREREROQkBHQo3eeChmWGuJZ5uMsS/V2OiIiIiIiInKSADaVuaz0jpcWG2JQ8jFuTHImIiIiIiASagA2lBy2UA2cVFuOIcOMIUygVEREREREJNAEbSve7PI+DaVzseUZpeJRm3hUREREREQk0ARtK93mfUZrofUZpRLxCqYiIiIiISKAJ2FC63xtK4935uMscRCZG+7kiEREREREROVkBG0r3uSxOINJ5iKK9SYRFBuyhiIiIiIiIhKyATXK5bktDB4THHaT4hyR/lyMiIiIiIiKnIGBD6c9uaGAgosHPlO5v4O9yRERERERE5BQEbCjNs5ZmjjLCYkopO5jo73JERERERETkFARsKD3gtrQwnpl3XQUKpSIiIiIiIoEozN8FnAq3tfzshmbke16XK5SKiIiI+EN5eTk5OTmUlJQct11iYiIbN26so6qkvlH/B7eoqChSUlIIDw8/pfcHZCgtsOAGGllPKDXuBKDYrzWJiIiIhKKcnBzi4+Np3bo1xphq2+Xn5xOv58qHLPV/8LLWkpubS05ODm3atDmlbQTk5bt53meUJrgLKP4xjvBYp58rEhEREQlNJSUlNGrU6LiBVESClzGGRo0anfBqieMJyFD6s9vzb4wrn8KdDYlItP4tSERERCSEKZCKhLbT/QwIzFBqPSE00p1Pwc4GRCS4/VyRiIiIiIiInIrADKVuSzgVOB2FFO5sQESCRkpFREREREQCUUCG0kNuOAvP42AKvm9IeLxGSkVERETkaHFxcf4u4Yx66aWXmDFjBgDTpk1jz549tbbdrl27kp6eziWXXMKGDRt86x5//HHatWtHx44d+eCDD2plf/KLa6+9lm+//RaAN954g65du5KWlsaAAQPYv38/AI8++ijNmzcnPT2d9PR03nvvvUrb2bx5s299eno6CQkJPPvsswA8+OCDpKWlccstt/ja/9///Z9vPcDatWu59dZbz+CRHi0wQ6m1tPI+DqZwZwMi4jRSKiIiIiKh5c477/QFi1MJpRUVFVUuv/HGG1m7di3Z2dk88MAD3H///QBs2LCBWbNmsX79ehYtWsSoUaNwuVyndxDis379elwuF+eccw4VFRXcc889LFmyhG+++Ya0tDSef/55X9v77ruP7OxssrOzGThwYKVtdezY0bd+1apVxMTEcPXVV3Pw4EFWr17NN998Q0REBGvXrqW4uJjXXnuN0aNH+97ftWtXcnJy2LlzZ50ce0A+EibfbWlpCsBCwc6GhCfk+7skERERkZC36F74IbvqdS5XNM5TeGDC2ekw4Nnjtxk6dCi7du2ipKSEe+65hzvuuMO37r777mPx4sWcffbZzJo1iyZNmpx8EfXUo48+SlxcHK1btyYrK4sRI0YQHR3N8uXL2bBhA/fffz8FBQU0btyYadOm0axZM/r06UN6ejpLly5l+PDh/PGPf6y03YSEBN/XhYWFvkls3n77bYYNG0ZkZCRt2rShXbt2rFy5kosuuqjOjjmYzZw5kyFDhgCex6xYayksLKRRo0YcOnSIdu3andJ2P/74Y9q2bUurVq3Iz8+nvLwcay1FRUWEh4fz9NNPM2bMmErPGL3qqquYNWsWDzzwwGkf24kE5kipG5qRj7s8grK8aCKTNFIqIiIiEqpeffVVVq1aRVZWFlOmTCE3NxfwBKru3buzfv16evfuzcSJE/1c6akZOXIkWVlZ1a6/9tpr6d69OzNnziQ7O5uwsDDGjBnD3LlzWbVqFbfddhvjxo3ztS8rKyMrK6vKQHrY1KlTadu2LQ888ABTpkwBYPfu3bRo0cLXJiUlhd27d9fCEQrAsmXLOP/88wEIDw/nxRdfpGvXriQnJ7NhwwZ+//vf+9o+//zzpKWlcdttt5GXl3fc7c6aNYvhw4cDEB8fz8CBA+nWrRvNmjUjMTGRFStWMHTo0Erv6969O59//nktHmH1AnKk9JC1nEUB5YcSAaPZd0VERETqgeONaObnFxMfH39G9jtlyhTmz58PwK5du9i6dSuNGjXC4XBwww03AHDTTTdxzTXXnJH9n2mvvPLKSbXfvHkz69ato1+/fgC4XC6aNWvmW3/4e3I8o0ePZvTo0bz++utMnjyZ6dOnn1zRctL27t3rG8kvLy/nxRdfZM2aNZxzzjmMGTOGxx9/nEceeYS77rqL8ePHY4xh/Pjx/PGPf+TVV1+tcptlZWUsXLiQxx9/3LfsgQce8I1+jhw5kkmTJvHKK6+wePFi0tLSeOSRRwA466yzau0+5RMJyJHSg25oSD5leUk4IizOSH9XJCIiIiL+kJmZyUcffcTy5cv5+uuv6datGyUlJVW2DZXnqVprSU1N9d1TuHbtWhYvXuxbHxsbW+NtDRs2jAULFgDQvHlzdu3a5VuXk5ND8+bNa6/wEBcdHe372c3O9lwH37ZtW4wxXH/99XzxxRcANG3aFKfTicPh4Pbbb2flypXVbvP999/nvPPOo2nTppXWrVmzBmstHTt2ZM6cObz55pts376drVu3AlBSUkJ0dHRtH2aVAjKU5rvdxNtCSvcnapRUREREJIQdPHiQBg0aEBMTw6ZNm/jyyy9969xuN3PnzgXg9ddf55JLLvFXmWdcfHw8+fmeeVY6duzIvn37WL58OeAZdVu/fn2Nt3U4lAD897//pX379gBkZGQwa9YsSktL+e6779i6dSsXXHBBLR5FaOvUqRPbtm0DPH8A2LBhA/v27QPgww8/pFOnToBnRPWw+fPn06VLl2q3+cYbb/gu3T3W+PHj+etf/0p5eblvwiqHw0FRUREAW7ZsOe62a1PAhVKXtUAZYbgo3R9HRLzuJxUREREJVQMGDKCiooJOnTrx0EMP0bNnT9+62NhYVq5cSZcuXfjkk0+YMGGCHys9dSe6pxTg1ltv5c477yQ9PR2Xy8XcuXN58MEHOffcc0lPT/eNstXE888/T2pqKunp6TzzzDO+S3dTU1O5/vrr6dy5MwMGDGDq1Kk4T2X2KqnSoEGDyMzMBCA5OZm//OUv9OrVi7S0NLKzs3n44YcBz+W3hx8Vs2TJEv7xj38AsGfPnqNm4i0sLOTDDz+s8rL1BQsW0L17d5KTk0lKSiI9PZ2uXbtSUlLCueeeC8CSJUsYNGjQGT5qD2Otf0Jdh44dbGZW5km/75Dbcm/uD/ydd9n6Sga7F6Vy9af7a7/AEJUcn1wn+8nMzKRPnz51si+pf9T/oUt9H9rU/8Fp48aNvhGc48nPzz9j95RK/af+P7Hi4mIuu+wyli1b5vewX1paSu/evVm6dClhYTWbhqiqzwJjzCprbfcTvTfgRkrzraUBxQAU7YknIkEjpSIiIiIiEtiio6OZOHFivZjReOfOnTzxxBM1DqSnK+Bm3y1wQ5I3lBbsjCdS95SKiIiIiJy0xx57jDlz5hy17Lrrrjvq8TFSt/r37+/vEgBo3769717iuhB4ofSIkdKC7xOIv1ihVERERETkZI0bN04BVOqFgLt89/BIqSWc4h8iiUzS5bsiIiIiIiKBKuBCab61JFECJpqKIgcRiRopFRERERERCVQBF0oLLCRSjLExAEQqlIqIiIiIiASswAulbu89pWXeUKrLd0VERERC1o4dO+jSpYu/y6g3Fi5cyBNPPAF4nkW5YcOGWtnu22+/TVpaGunp6XTv3p2lS5f61k2fPt03Mc7hZ5pK7bn33nv57LPPALj00ktJT08nPT2d5ORkhg4d6muXmZlJeno6qamp9O7du8ptWWsZN24cHTp0oFOnTkyZMgWAefPmkZqayqWXXkpubi4A27dv54YbbvC9t6ysjF69elFRUVHrxxiAEx1BA4pxFccCENVYI6UiIiIiIgAZGRlkZGQAnlA6ePBgOnfuXOP3V1RUVPkYkL59+5KRkYExhm+++Ybrr7+eTZs2ceDAASZOnEhWVhbGGM4//3wyMjJo0KBBrR1TKMvNzeXLL7/k2WefBeDzzz/3rfvtb3/LkCFDAPj5558ZNWoUixYtomXLlvz0009Vbm/atGns2rWLTZs24XA4fO2ee+45vvrqK9566y1ef/11xowZwyOPPMLkyZN9742IiKBv377Mnj2bESNG1OpxBlwoLXSVE0M5JYe8obSRQqmIiIhIffD4/v1sLiurcl2Fy0VYfv5Jb7NjRARjGzc+bpuKigpGjBjB6tWrSU1NZcaMGcTExDBp0iTeeecdiouL+fWvf82//vUvjDFMmTKFl156ibCwMDp37sysWbMoLCxkzJgxrFu3jvLych599FHfL/yBZNq0aWRlZXHjjTeycOFCPv30UyZPnsy8efMAGD16NPv27SMmJoaXX36ZX/3qV9x6661ERUWxZs0aLr74Yp555plK242Li/N9XVhYiDEGgA8++IB+/frRsGFDAPr168eiRYsYPnx4HRxt8Js3bx4DBgyotPzQoUN88sknvPbaawC8/vrrXHPNNbRs2RKAs846q8rtvfjii7z++us4HI6j2jkcDkpLSykqKiI8PJzPP/+cs88+u9JjYYYOHcrYsWNrPZQG3OW7WM/jYErzPCeGQqmIiIhIaNu8eTOjRo1i48aNJCQk8MILLwDwhz/8ga+++op169ZRXFzMu+++C8ATTzzBmjVr+Oabb3jppZcAzzM7L7/8clauXMmSJUv485//TGFhod+O6UQmTJjAwoULq13/61//moyMDJ566imys7Np27Ytd9xxB8899xyrVq3i6aefZtSoUb72OTk5fPHFF1UG0sPmz5/Pr371KwYNGsSrr74KwO7du2nRooWvTUpKCrt3766FIxSAZcuWcf7551davmDBAvr27UtCQgIAW7ZsIS8vjz59+nD++eczY8aMKre3fft2Zs+eTffu3bnyyivZunUrAGPHjuWKK67gnXfeYfjw4fz1r39l/Pjxld7fpUsXvvrqq1o8Qo+AGynF7QmlJfsUSkVERETqk+ONaObn5xMfH39G9tuiRQsuvvhiAG666SamTJnCn/70J5YsWcKTTz5JUVERBw4cIDU1lauuuoq0tDRGjBjB0KFDfffkLV68mIULF/L0008DUFJSws6dO+nUqdMZqfl0TZo06aTaFxQU8MUXX3Ddddf5lpWWlvq+vu6663A6ncfdxtVXX83VV1/NZ599xvjx4/noo49Ormg5aXv37qVJkyaVlr/xxhuMHDnS97qiooJVq1bx8ccfU1xczEUXXUTPnj3p0KHDUe8rLS0lKiqKrKws3nrrLW677TY+//xz+vXrR79+/QCYMWMGAwcOZMuWLTz99NM0aNCAf/7zn8TExOB0OomIiKj18zngQqnTFgFQ/GMcYTFuwmI00ZGIiIhIKDt8KemRr0tKShg1ahRZWVm0aNGCRx99lJKSEgD++9//8tlnn/HOO+/w2GOPsXbtWqy1zJs3j44dO/rjEM44t9tNUlIS2dnZVa6PjY2t8bZ69erFt99+y/79+2nevDmZmZm+dTk5OfTp0+c0q5XDoqOjfT+3h+3fv5+VK1cyf/5837KUlBQaNWpEbGwssbGx9OrVi6+//rpSKE1JSeGaa64BPH9k+N3vfnfU+qKiIqZNm8YHH3zA4MGDeeutt5g7dy4zZ87k9ttvB34JtrUp4C7fDbeeTin8Pk6THImIiIgIO3fuZPny5YDn3rpLLrnE94t848aNKSgoYO7cuYAnnO3atYvLLruMv/3tbxw8eJCCggL69+/Pc889h7WeAY81a9b452BqUXx8PPne+3gTEhJo06YNc+bMATyzsH799dc13ta2bdt835vVq1dTWlpKo0aN6N+/P4sXLyYvL4+8vDwWL15M//79a/9gQlSnTp3Ytm3bUcvmzp3L4MGDjwqGQ4YMYenSpVRUVFBUVMSKFSuqHOUfOnQoS5YsAeDTTz+tFFqfeuop7r77bsLDwykuLsYYg8PhoKjIMzCYm5tL48aNCQ8Pr9XjDKhQWmIt8RRjMeSuTSShjcvfJYmIiIiIn3Xs2JGpU6fSqVMn8vLyuOuuu0hKSuL222+nS5cu9O/fnx49egDgcrm46aab6Nq1K926dePuu+8mKSmJ8ePHU15eTlpaGqmpqVXeT1efnOieUoBhw4bx1FNP0a1bN7Zv387MmTP5z3/+w7nnnktqaipvv/12jfc3b948unTpQnp6OqNHj2b27NkYY2jYsCHjx4+nR48e9OjRgwkTJvgmPZLTN2jQoKNGogFmzZpVaSKpTp06MWDAANLS0rjgggsYOXKk71FJAwcOZM+ePQA89NBDzJs3j65duzJ27FheeeUV3zb27NnDypUrfZe0jxkzhh49evDSSy9x4403ArBkyRIGDRpU68dpDv/Fo6516NjBZmZlntR7fnC5+eJAJr82e/mwx/20zijh0n8ePDMFhqjk+OQ62U9mZqYu7Qhh6v/Qpb4Pber/4LRx48Ya3Xd5Ju8plfpP/X/qLrnkEt59912SkpL8XQrXXHMNTzzxRKURVqj6s8AYs8pa2/1E2w2okdKf3dCEAipsHCW5ThLOqf0Ht4qIiIiIiNQXf//739m5c6e/y6CsrIyhQ4dWGUhPV0BNdJTntjSlgIpiz2hewjm6fFdEREREpLa89tpr/POf/zxq2cUXX8zUqVP9VJFceOGF/i4BgIiICG655ZYzsu2ACqUHXRV0oJC83EQAEjVSKiIiIiJSa373u99VmpFV5EwLqMt3i1wFOIDy7xsAEN9aI6UiIiIiIiKBLKBCaZnrEAC5XzQhsX054bF6RqmIiIiIiEggC6hQ6nR5ZtrdseBsWl1Z6udqRERERERE5HQFVCiNdudR5Iqk+Ic42g8v8nc5IiIiIiIicpoCJpQecluakse+H5qQckUpDVM1yZGIiIiI1J1p06axZ88ef5dxXHv27OHaa68FIDs7m/fee69Wtvv9999z3nnnkZ6eTmpqKi+99JJv3apVq+jatSvt2rXj7rvvxlrdYlebFixYwKRJkwC47777SE9PJz09nQ4dOhz17NLp06fTvn172rdvz/Tp06vc1pw5c0hNTcXhcJCVleVbvmzZMtLS0ujevTtbt24F4Oeff+Y3v/kNbrfb1+6KK64gLy+v1o+xRqHUGDPAGLPZGLPNGPNQFesjjTGzvetXGGNa13ah60qLaMMB9n/ZgvMeyq/tzYuIiIhIgLPWHvULdG1yuVwBEUqTk5OZO3cucGqhtKKi6oGfZs2asXz5crKzs1mxYgVPPPGE73tx11138fLLL7N161a2bt3KokWLTu8g5ChPPvkko0aNAuAf//gH2dnZZGdnM2bMGK655hoADhw4wMSJE1mxYgUrV65k4sSJVYbHLl268NZbb9GrV6+jlv/973/nvffe49lnn/X9wWHy5Mk8/PDDOBy/RMabb76ZF154odaP8YSPhDHGOIGpQD8gB/jKGLPQWrvhiGa/B/Kste2MMcOAvwE31FaR1lrKcldjIiAurwNNLyivrU2LiIiISC3Zu38RJWU/VLnO5XKxP9950tuMijibZo0HVLt+x44d9O/fnwsvvJBVq1bx3nvvsXnzZv7yl79QWlpK27Ztee2111i6dCn/+c9/mDNnDgCZmZk8/fTTvPvuuyxevLhS+7i4OFq3bs0NN9zAhx9+yP33309WVhYjRowgOjqa5cuXEx0dfdLHc6bt2LGDwYMHs3r1aiZMmEBxcTFLly5l7NixDB48mDFjxrBu3TrKy8t59NFHGTJkCNOmTeOtt96ioKAAl8vFp59+Wmm7ERERvq9LS0t94X/v3r0cOnSInj17AnDLLbewYMECrrzyyro54CC3ZcsWIiMjady4caV1b7zxBhMnTgTggw8+oF+/fjRs2BCAfv36sWjRIoYPH37Uezp16lTlfsLDwykqKqKoqIjw8HC2b9/Orl276NOnz1HtMjIyuPTSSxk3blwtHN0vajJSegGwzVr7rbW2DJgFDDmmzRDg8BjxXKCvMcacbnFzCkvJ+vEdcn76f5wbuYmV33bh/DGRp7tZEREREQkiW7duZdSoUaxfv57Y2FgmT57MRx99xOrVq+nevTvPPPMMV1xxBStWrKCwsBCA2bNnM2zYMPbv319l+8MaNWrE6tWruemmm+jevTszZ84kOzvb74F04cKFTJgwodr1ERERTJo0iRtuuIHs7GxuuOEGHnvsMS6//HJWrlzJkiVL+POf/+z7fqxevZq5c+dWGUgP27VrF2lpabRo0YIHH3yQ5ORkdu/eTUpKiq9NSkoKu3fvrr0DDXHLli3jvPPOq7T8+++/57vvvuPyyy8HYPfu3bRo0cK3/mT7YezYsdxyyy08/vjj/OEPf2DcuHFMnjy5UrsGDRpQWlpKbm7uKRxN9U44Ugo0B3Yd8ToHuLC6NtbaCmPMQaARsP/IRsaYO4A7AJo0acL6r9Yfd8f74xNokQjr97WiaF8DWtgItmxcV4OS5VRtcWypk/0UFBSQmZlZJ/uS+kf9H7rU96FN/R+cEhMTyc/33FoVF3kxcdWMH7hcLpzOkx8pBXzbr0pBQQEtW7YkNTWV/Px8PvnkE9avX89FF10EQFlZGRdccAHFxcX07duXN998k6FDh/Luu+8yfvz4atvn5+djrWXQoEG+/btcLgoLC49bT1257LLLuOyyyyrVUlBQgNvtJj8/n5KSEsrKynxtFi1axIIFC3jyyScBKC4uZuPGjZSUlNCnTx/Cw8OPe2xJSUksW7aMvXv3Mnz4cAYMGEBhYSEul8v3vqKiIioqKipt58g2UnM7duwgISGh0vdu+vTpZGRkUFTkmfy1tLSU0tJSX7vS0lIcDke13/Njf5bbtm3Lhx9+CHiCcKNGjcjPz+e3v/0tYWFh/O///i9nnXUW4PlDzdatW48aPQcoKSk55c/4moTSWmOt/Tfwb4AOHTvY1B6px23vWdsCmp3x0sQrOT65TvaTmZlZ6XIACR3q/9Clvg9t6v/gtHHjRuLj40/YLj8/v0btTlZcXBxxcXG+bUdHR/Ob3/yGN954o1Lbm2++meeff57mzZvTo0cPkpOTj9veGEPTpk1923Y6ncTGxp6R46gtpf26ywAACylJREFUcXFxOBwO4uPjiYqKIiIiwlevMYb58+fTsWPHo96zbt06kpKSanxc8fHxnHvuuaxZs4aLL76YvXv3+t574MABWrVqVWlbZ6r/g11SUhIHDx6s9L2bP38+U6dO9S0/55xzyMzM9L3et28fffr0qfZ7Xt3PsrWWZ555hlmzZjFmzBieeeYZduzYwauvvspjjz0GQHl5OY0bN6703qioKLp163ZKx1mTy3d3Ay2OeJ3iXVZlG2NMGJAI1O6YroiIiIjICfTs2ZNly5axbds2AAoLC9myxXMlWO/evVm9ejUvv/wyw4YNO2H7Y8XHxwfUaN+x9fbv35/nnnvONzvumjVrarytnJwciouLAcjLy2Pp0qV07NiRZs2akZCQwJdffom1lhkzZjBkyLF3+smp6tSpk+9n87BNmzaRl5fnG90HT98uXryYvLw88vLyWLx4Mf379z/p/c2YMYOBAwfSsGFDioqKcDgcOBwO34istZYffviB1q1bn9ZxHasmofQroL0xpo0xJgIYBiw8ps1C4H+8X18LfGI1F7SIiIiI1LEmTZowbdo0hg8fTlpaGhdddBGbNm0CPKNDgwcP5v3332fw4MEnbH+sW2+9lTvvvJP09HRfQPOXE91TCp5LfDds2EB6ejqzZ89m/PjxlJeXk5aWRmpqKuPHj6/x/jZu3MiFF17IueeeS+/evfnTn/5E165dAXjhhRcYOXIk7dq1o23btprkqBb16tWLNWvWHPWYnVmzZjFs2DCOnMKnYcOGjB8/nh49etCjRw8mTJjgm/Ro5MiRvse/zJ8/n5SUFJYvX86gQYOOCq5FRUVMmzaN0aNHA3D//fczcOBA7r33Xu68807A8/ifnj17EhZWuxfcmppkR2PMQOBZwAm8aq19zBgzCciy1i40xkQB/w/oBhwAhllrvz3eNjt07GAzszJPt36pZbp8V+qC+j90qe9Dm/o/OG3cuLHaGT2PpMs3Q5v6/9Tdc889XHXVVVxxxRX+LoV77rmHjIwM+vbtW2ldVZ8FxphV1truJ9pujSKutfY94L1jlk044usS4LqabEtERERERERq5uGHH2bFihX+LgPwPOe0qkB6uup0oiMREREREam/1q5dy80333zUssjIyHoTikJR06ZNycjI8HcZANx+++1nZLsKpSIiIiIiAkDXrl3Jzs72dxkSYmoy0ZGIiIiISLU0v6VIaDvdzwCFUhERERE5ZVFRUeTm5iqYioQoay25ublERUWd8jZ0+a6IiIiInLKUlBRycnLYt2/fcduVlJSc1i+tEtjU/8EtKiqKlJSUU36/QqmIiIiInLLw8HDatGlzwnaZmZl069atDiqS+kj9L8ejy3dFRERERETEbxRKRURERERExG8USkVERERERMRvjL9mSjPG5AOb/bJzqQ8aA/v9XYT4jfo/dKnvQ5v6P7Sp/0Ob+j80tbLWNjlRI39OdLTZWtvdj/sXPzLGZKn/Q5f6P3Sp70Ob+j+0qf9Dm/pfjkeX74qIiIiIiIjfKJSKiIiIiIiI3/gzlP7bj/sW/1P/hzb1f+hS34c29X9oU/+HNvW/VMtvEx2JiIiIiIiI6PJdERERERER8Ru/hFJjzABjzGZjzDZjzEP+qEHqhjGmhTFmiTFmgzFmvTHmHu/yhsaYD40xW73/NvB3rXLmGGOcxpg1xph3va/bGGNWeD8DZhtjIvxdo5wZxpgkY8xcY8wmY8xGY8xFOv9DgzHmPu/n/jpjzBvGmCid+8HNGPOqMeYnY8y6I5ZVeb4bjynen4VvjDHn+a9yOV3V9P1T3s/+b4wx840xSUesG+vt+83GmP7+qVrqkzoPpcYYJzAVuBLoDAw3xnSu6zqkzlQAf7TWdgZ6AqO9/f0Q8LG1tj3wsfe1BK97gI1HvP4b8A9rbTsgD/i9X6qSuvBPYJG19lfAuXh+DnT+BzljTHPgbqC7tbYL4ASGoXM/2E0DBhyzrLrz/Uqgvfe/O4AX66hGOTOmUbnvPwS6WGvTgC3AWADv74HDgFTve17w5gMJYf4YKb0A2Gat/dZaWwbMAob4oQ6pA9bavdba1d6v8/H8QtocT59P9zabDgz1T4VyphljUoBBwCve1wa4HJjrbaL+D1LGmESgF/AfAGttmbX2Z3T+h4owINoYEwbEAHvRuR/UrLWfAQeOWVzd+T4EmGE9vgSSjDHN6qZSqW1V9b21drG1tsL78ksgxfv1EGCWtbbUWvsdsA1PPpAQ5o9Q2hzYdcTrHO8yCXLGmNZAN2AF0NRau9e76gegqZ/KkjPvWeABwO193Qj4+Yj/UekzIHi1AfYBr3kv337FGBOLzv+gZ63dDTwN7MQTRg8Cq9C5H4qqO9/1+2BouQ143/u1+l4q0URHUieMMXHAPOBea+2hI9dZzxTQmgY6CBljBgM/WWtX+bsW8Ysw4DzgRWttN6CQYy7V1fkfnLz3DQ7B84eJZCCWypf2SYjR+R6ajDHj8NzONdPftUj95Y9QuhtoccTrFO8yCVLGmHA8gXSmtfYt7+IfD1+m4/33J3/VJ2fUxUCGMWYHnkv1L8dzj2GS95I+0GdAMMsBcqy1K7yv5+IJqTr/g98VwHfW2n3W2nLgLTyfBzr3Q09157t+HwwBxphbgcHACPvLcyjV91KJP0LpV0B77wx8EXhudF7ohzqkDnjvH/wPsNFa+8wRqxYC/+P9+n+At+u6NjnzrLVjrbUp1trWeM71T6y1I4AlwLXeZur/IGWt/QHYZYzp6F3UF9iAzv9QsBPoaYyJ8f5/4HDf69wPPdWd7wuBW7yz8PYEDh5xma8EAWPMADy372RYa4uOWLUQGGaMiTTGtMEz2dVKf9Qo9Yf55Y8WdbhTYwbiuc/MCbxqrX2szouQOmGMuQT4HFjLL/cUPoznvtI3gZbA98D11tpjJ0eQIGKM6QP8yVo72BhzDp6R04bAGuAma22pP+uTM8MYk45nkqsI4Fvgd3j+IKrzP8gZYyYCN+C5bG8NMBLPfWM694OUMeYNoA/QGPgR+AuwgCrOd+8fK57Hc1l3EfA7a22WP+qW01dN348FIoFcb7MvrbV3etuPw3OfaQWeW7veP3abElr8EkpFREREREREQBMdiYiIiIiIiB8plIqIiIiIiIjfKJSKiIiIiIiI3yiUioiIiIiIiN8olIqIiIiIiIjfKJSKiIicYcaYAn/XICIiUl8plIqIiIiIiIjfKJSKiIicJGPME8aY0Ue8ftQY84gx5mNjzGpjzFpjzJAq3tfHGPPuEa+fN8bc6v36fGPMp8aYVcaYD4wxzerkYERERPxMoVREROTkzQauP+L19cB04Gpr7XnAZcDfjTGmJhszxoQDzwHXWmvPB14FHqvdkkVEROqnMH8XICIiEmistWuMMWcZY5KBJkAe8APwD2NML8ANNAeaepefSEegC/ChN8c6gb1nonYREZH6RqFURETk1MwBrgXOxjNyOgJPQD3fWltujNkBRB3zngqOvkrp8HoDrLfWXnRGKxYREamHdPmuiIjIqZkNDMMTTOcAicBP3kB6GdCqivd8D3Q2xkQaY5KAvt7lm4EmxpiLwHM5rzEm9YwfgYiISD2gkVIREZFTYK1db4yJB3Zba/caY2YC7xhj1gJZwKYq3rPLGPMmsA74DljjXV5mjLkWmGKMScTz/+dngfV1dDgiIiJ+Y6y1/q5BREREREREQpQu3xURERERERG/USgVERERERERv1EoFREREREREb9RKBURERERERG/USgVERERERERv1EoFREREREREb9RKBURERERERG/USgVERERERERv/n/yiVypaAfEw4AAAAASUVORK5CYII=\n",
"text/plain": [
"<Figure size 1152x432 with 1 Axes>"
]
},
"metadata": {
"needs_background": "light"
},
"output_type": "display_data"
},
{
"name": "stderr",
"output_type": "stream",
"text": [
"2019-07-25 10:46:29,348 INFO : root : Results for: low_hitrate_text\n"
]
},
{
"data": {
"image/png": 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\n",
"text/plain": [
"<Figure size 1152x432 with 1 Axes>"
]
},
"metadata": {
"needs_background": "light"
},
"output_type": "display_data"
},
{
"name": "stderr",
"output_type": "stream",
"text": [
"2019-07-25 10:46:29,956 INFO : root : Results for: edit_text\n"
]
},
{
"data": {
"image/png": 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\n",
"text/plain": [
"<Figure size 1152x432 with 1 Axes>"
]
},
"metadata": {
"needs_background": "light"
},
"output_type": "display_data"
}
],
"source": [
"for test in collector.tests(workload='jankbench'):\n",
" logging.info(\"Results for: %s\", test)\n",
" collector.plot_cdf(workload='jankbench', metric='frame_total_duration',\n",
" test=\"^{}$\".format(test), threshold=16)"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"# Exoplayer"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## Dropper Frames"
]
},
{
"cell_type": "code",
"execution_count": 9,
"metadata": {},
"outputs": [
{
"name": "stderr",
"output_type": "stream",
"text": [
"2019-07-25 10:46:30,776 INFO : root : Results for: exoplayer\n"
]
},
{
"data": {
"image/png": 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BAc5LsmdVXZLkPOCjdF/OT66qa5O8GtgV2AXYEpiT5JJW/G7AjsCtwNeAV9F9ge87uKp+mWSjdu6ZwBeB9yc5oqoWAm8E3prk94GZwPOramGSY+lCoJOAjYErquqvB1z2Y+nCln2A84DnA29u9e8K3EXXW+PZwL3ABUleCZwJXAYc0cqZCXxsQH37AaeOs+9g4PS2vDVdsDLiZ23bHcDTgTdV1aVJTgDeBvzTeBUm+Szwp8D1wMg92Rq4DaCqFiX5FbAFcChwVFWd0t6HFfWCOaaqPtzq+TxdQPKfbd+jq2rXJHsCJwA7te3fAf6Y7tn223kIcAjAVlttxezZs1dQtdZ28+fP9zlr0vkeajKdfs/pLFrc/feURYsX8cGvfJCZW8yc5FZpXebfiZoKfA/VN+WDFLrw477e+kva5/ttfRO6YOUS4MPAHOBB4B1t/x7AqW1Y0J1JLgaeA9wPXFlVNwMkObUdOzpIeUeSP2/LTwJ2qKrLk1wE7J3kBmCDqromydvpwo05rRPERnShB8BiuqBjiP+sqkpyDXBnVV3T2ngdMA3YFphdVfPa9lOAPavqnNaL5bnAj4BnAJdOVFELJvahDd8Zte/9wCLglAFtvq2qRuo6me7+jxukVNUbW2+do+kCn89OUPZldMHVNnRDvH60gra8MMm7gUcDjwOuY2mQcmqr/5Ikj0myeVXdR/ecnjhGO48DjgOYPn16zZgxYwVVa203e/ZsfM6abL6HmizzFsxjzllzWEw3mnoxi5nzwBw+svtH2HKjh/X0cZrC/DtRU4HvofrWhqE9DwAb9tYDfHxkfo+q2r6qjm/7tqALVjYddc54aqL1JDOAFwPPq6pd6MKbkXL/AziIrjfKSAgQ4MRe255eVR9q+x58CHO8/Lb9uaS3PLK+ovDrNOAvgFcDZ7dhKxN5OfC9qrqzvzHJQXQ9OV7XK+N2ujBpxDZtG6zgXo6l3Y/TWluXKT/J+sBmwD1V9QW6sOcB4CtJXjRemUk2BI4F9q2qnYF/Z9l3Ybx2btjKlyRpnTXr6lksqSXLbFtSS5wrRZKknikfpFTVvcB67QsywPnAwVn6Sy9bJ3lC2/cZ4IN0PShGJir9FjAzyXpJHg/sCVzZ9u2WZLs2N8pM4L9HVb8Z3eSnC5I8A3hur11X0H3pfy1Lh8VcCOw70p4kj0uy7VjXleTjvZ4uD9WVwAuSbNl6dewPXNz2nU0318j+dCHFiuzPqGE9SV4GvBvYp6oW9HadB+yX7td1tqPrCTRyL5+cZGTul9ey/L0cKTtJth9ZpgtIftAr/w1teV/gotYz5ynAzVX1r3Rz5TyrnX9hkq1HVTHyntzd3pF9R+0fmSNnD+BXVfWrtv1pwLVjtVmSpHXF3LvmsnDJwmW2LVyykKvuumqSWiRJ0tSzNgztAbiAbtjNN6rqgjYXyWVt+Mx84ID25X9hVX2hhQvfbj0Xzqabb2QuXe+Dd1fVL1owMgc4Btge+CZLf7VmxNeAQ9vwnRtZdn4Q6ObT2LWFPVTV9Uk+QDdnySOAhcBhdHOwjLYzXXDwkFXVHUne29oc4MtVdW7bd29r745VdeVE5STZGPgT4K2jdh0DPAr4ervHl1fVoVV1XZIv0s1rsgg4rKoWt2NuBA5r86NcD3x6vGqBE5M8pi3PBf6y7Tse+HySm4Bf0s3dAl0PmwOTLAR+AfxDu7/bt+P69+a+JP9OF4r8gu4Z9z2Y5PvABnTzv4x4IWMMb5IkaV1yxj5LRzjvfOLOXPOGayaxNZIkTU1rS5Dyb8C7gG8AVNVRwFGjjvkx3aSuI0NGdu/tO4KlE7D23V9Vy/1SS1VN662+fIJ27UH3M739c09n6eSs/e2bjNq0QVVdNsZxB/WWb2HpZKij953KOBPEjnVN4xz3G7rhUKO3bz/BOR9j7AlsF1XVAQPqXEI3ee5Y+x4EXjPG9k8An+hvS7ITcGZVLTccp6o+AHxgjO0zxqo3yVbARiNz0UiSJEmSNJ4pP7QHoKq+B3yz9TSZdEk2T/JD4IGqunBlyqiql67iZq1TquraqvqrVVTck1n6y0GSJEmSJI1rbemRQlWdsIrLmw3MXslz76ObU2PKS7IF3dwto+1VVfesijpG95zp1X02sN2oze+pqvNXRb2rSlWNHv4jSZIkSdKY1pogRSunhSW7TlLdKzuZriRJkiRJU9JaMbRHkiRJkiRpKjBIkSRJkiRJGsggRZIkSZIkaSCDFEmSJEmSpIEMUiRJkiRJkgYySJEkSZIkSRrIIEWSJEmSJGkggxRJkiRJkqSBDFIkSZIkSZIGMkiRJEmSJEkayCBFkiRJyzl626MnuwmSJE1JBimSJEmSJEkDGaRIkiRJkiQNZJAiSZIkSZI0kEGKJEmSJEnSQAYpkiRJkiRJAxmkSJIkSZIkDWSQIkmSJEmSNJBBiiRJkiRJ0kAGKZIkSZIkSQMZpEiSJEmSJA1kkCJJkiRJkjSQQYokSZIkSdJABimSJEmSJEkDGaRIkiRJkiQNZJAiSZIkSZI0kEGKJEmSJEnSQAYpkiRJkiRJAxmkSJIkSZIkDWSQIkmSJEmSNJBBiiRJkiRJ0kAGKZIkSZIkSQMZpEiSJEmSJA1kkCJJkiRJkjSQQYokSZIkSdJABimSJEmSJEkDGaRIkiRJkiQNZJAiSZIkSZI0kEGKJEmSJEnSQAYpkiRJkiRJAxmkSJIkSZIkDWSQIkmSJEmSNJBBiiRJkiRJ0kAGKZIkSZIkSQMZpEiSJEmSJA1kkCJJkiRJkjSQQYokSZKWc/ith092EyRJmpIMUiRJkiRJkgYySJEkSZIkSRrIIEWSJEmSJGkggxRJkiRJkqSBDFIkSZIkSZIGMkiRJEmSJEkayCBFkiRJkiRpIIMUSZIkSZKkgQxSJEmSJEmSBjJIkSRJkiRJGsggRZIkSZIkaSCDFEmSJEmSpIEMUiRJkiRJkgYySJEkSZIkSRpoUoKUJBsluTjJemuovluSbLkm6posSZ6e5Kre5/4k72z7PpXkB0muTnJ2ks17570vyU1Jbkzy0pWs+/gkc1v5ZyTZpG1/VJLTW/lXJJm2kuWvtueX5JFJLkmy/uooX5KktdG8BfMAuPuBuye5JZIkTT2T1SPlYOCsqlo8SfWvUmsqEJpIVd1YVbtW1a7As4EFwNlt99eBnarqWcAPgfcBJNkR2A94JvAy4NiVvJZ3VdUurfyfAm9v298E3FtV2wNHAp9cuatbfarqf4ALgZmT3RZJkqaKWVfP6v6cO2uSWyJJ0tQzWUHK64BzR1aSHJFkTuvR8Pdt23Pa+oZJNk5yXZKd0vlUkmuTXJNkZjt+RutZ8OXWu2JWkuWuL8k5Sb7byjukbTs4yb/0jnlLkiPb8gFJrmy9PD4zEjQkmZ/kn5PMBZ433oUm+VySTye5PMnNrZ0nJLkhyed6x+3frufaJJ9s2w5N8qneMQclOWbA/d0L+HFV3QpQVRdU1aK273Jgm7b8CuC0qvptVf0EuAnYLcm01oPllNbOM5I8erzKqur+1r4AGwHVK//EtnwGsFd7fs/s3dOrk+ww4Jre3e7PlUm2b/X9Wevp8v0k30iyVdv+gl7PnO8n2bRtX+49a86heyclSVrnzVswj3Nv6v6Zds5N59grRZKkUdb4cIYkjwSeUlW3tPWXADsAuwEBzkuyZ1VdkuQ84KN0X85Prqprk7wa2BXYBdgSmJPkklb8bsCOwK3A14BX0X2B7zu4qn6ZZKN27pnAF4H3JzmiqhYCbwTemuT36XoqPL+qFiY5lu4L90nAxsAVVfXXAy77sXRhyz7AecDzgTe3+ncF7qLrrfFs4F7ggiSvBM4ELgOOaOXMBD42oL79gFPH2XcwcHpb3pouWBnxs7btDuDpwJuq6tIkJwBvA/5pvAqTfBb4U+B6YOSebA3cBlBVi5L8CtgCOBQ4qqpOae/DkF4wv6qqnZO8HvgXYG/gv4HnVlUleTPw7lb33wCHtbZvAjw40XsGXAs8Z5zrOgQ4BGCrrbZi9uzZA5qqtdn8+fN9zpp0voeaTKffczqLFnf//WXR4kV88CsfZOYWdtzU5PHvRE0Fvofqm4x5IbYE7uutv6R9vt/WN6H7wnsJ8GFgDvAg8I62fw/g1DYs6M4kF9N9Cb4fuLKqbgZIcmo7dnSQ8o4kf96WnwTsUFWXJ7kI2DvJDcAGVXVNkrfThRtzus4WbEQXegAspgs6hvjP9mX/GuDOqrqmtfE6YBqwLTC7qua17acAe1bVOa0Xy3OBHwHPAC6dqKIWTOxDG74zat/7gUXAKQPafFtVjdR1Mt39HzdIqao3tt46R9MFPp+doOzL6IKrbeiGeP1oQHtO7f15ZFveBjg9ye8BjwR+0rZfCvzfdh/PqqqftSBlzPesqhYn+Z8km1bVr0dd13HAcQDTp0+vGTNmDGiq1mazZ8/G56zJ5nuoyTJvwTzmnDWHxXSjrxezmDkPzOEju3+ELTd6WE83pynMvxM1Ffgeqm8yhvY8AGzYWw/w8ZH5Papq+6o6vu3bgu4L76ajzhlPTbSeZAbwYuB5VbUL3ZfqkXL/AziIrjfKSAgQ4MRe255eVR9q+x58CHO8/Lb9uaS3PLK+ojDrNOAvgFcDZ1fV6Gsc7eXA96rqzv7GJAfR9eJ4Xa+M2+nCpBHbtG2wgns5lnY/TmttXab8dJO5bgbcU1VfoAt7HgC+kuRFKyp7VP0jy0cDx1TVzsBbac+yqj5B1+NnI+DSJM9g4vcM4FF0gZ0kSeusWVfPYkktWWbbklriXCmSJPWs8SClqu4F1ksyEmCcDxycpb/0snWSJ7R9nwE+SNeDYmSi0m8BM5Osl+TxwJ7AlW3fbkm2a3OjzKQb+tG3Gd3kpwval+vn9tp1Bd2X/teytPfDhcC+I+1J8rgk2451XUk+3uvp8lBdCbwgyZatV8f+wMVt39l0c43sTxdSrMj+jBrWk+RldMNe9qmqBb1d5wH7pft1ne3oemiM3MsnJxmZ++W1LH8vR8pOb86S0AUkP+iV/4a2vC9wUeuZ8xTg5qr6V7q5cp7Vzr8wydbjXNfM3p+XteXNWBr8jNRDkqdW1TVV9Um6Hk3PYIL3LMkWwN1tWJckSeusuXfNZeGSZf/vcOGShVx111WT1CJJkqaeyfrJ1wvoht18o6ouaHORXNaGz8wHDmhf/hdW1RdauPDt1nPhbLr5RubS9Ux4d1X9ogUjc4BjgO2Bb7L0V2tGfA04tA3fuZFl5weBbq6UXVvYQ1Vdn+QDdHOWPAJYCBxGNwfLaDvTBQcPWVXdkeS9rc0BvlxV57Z997b27lhVV05UTpKNgT+h653Rdwxdj4uvt3t8eVUdWlXXJfki3bwmi+jmFVncjrkROKzNj3I98OnxqgVOTPKYtjwX+Mu273jg80luAn5JN3cLdD1sDkyyEPgF8A/t/m7fjhvLY5NcTdejZ/+27UPAl5LcC1wEbNe2vzPJC+l6/FwHfLWqfjvWe0Y3VOuFwJfHqVeSpHXGGfssHRG984k7c80brpnE1kiSNDVlxSNFVkOlyR/S/WTugauwzBnA31TV3r9DGf8FHFlVF67EuedX1UtXtu6pJMk04L+qaqc1WOdOdBMB/9WaqrNX91nAe6vqhxMdN3369PrOd76zhlqlyeL4V00FvoeaCgxSNFX4d6KmAt/DdUOS71bV9BUdNyk/f1xV3wO+2XqaTLokmyf5IfDAyoQoAA+XEGWyVNW1kxSiPBI4Z0UhiiRJkiRJMHlDe6iqE1ZxebOB2St57n3A01Zle1aXNp/HWGHPXlV1z6qoo/009XK9UZKczdLhMyPeU1Xnr4p6J0NV/Q/dz1lLkiRJkrRCkxakaOW0sGTXSap7ZSfTlSRJkiTpYWFShvZIkiRJkiStjQxSJEmSJEmSBjJIkSRJkiRJGsggRZIkSZIkaSCDFEmSJEmSpIEMUiRJkiRJkgYySJEkSZIkSRrIIEWSJEmSJGkggxRJkiRJkqSBDFIkSZIkSZIGMkiRJEnSco7e9ujJboIkSVOSQYokSZIkSdJABimSJEmSJEkDGaRIkiRJkiQNZJAiSZIkSZI0kEGKJEmSJEnSQAYpkiRJkiRJAxmkSJIkSZIkDWSQIkmSJEmSNJDfsIn4AAAgAElEQVRBiiRJkiRJ0kAGKZIkSZIkSQMZpEiSJEmSJA1kkCJJkiRJkjSQQYokSZIkSdJABimSJEmSJEkDGaRIkiRJkiQNZJAiSZIkSZI0kEGKJEmSJEnSQAYpkiRJkiRJAxmkSJIkSZIkDWSQIkmSJEmSNJBBiiRJkiRJ0kAGKZIkSZIkSQMZpEiSJEmSJA1kkCJJkiRJkjSQQYokSZIkSdJABimSJEmSJEkDGaRIkiRJkiQNZJAiSZIkSZI0kEGKJEmSJEnSQAYpkiRJkiRJAxmkSJIkSZIkDWSQIkmSJEmSNJBBiiRJkiRJ0kAGKZIkSZIkSQMZpEiSJGk5h996+GQ3QZKkKckgRZIkSZIkaSCDFEmSJEmSpIEMUiRJkiRJkgYySJEkSZIkSRrIIEWSJEmSJGkggxRJkiRJkqSBDFIkSZIkSZIGMkiRJEmSJEkayCBFkiRJkiRpIIMUSZIkSZKkgQxSJEmSJEmSBjJIkSRJkiRJGsggRZIkSZIkaSCDFEmSJEmSpIFWa5CSZKMkFydZb3XW06vvliRbrom6JkuSpye5qve5P8k7275PJflBkquTnJ1k895570tyU5Ibk7x0Jes+PsncVv4ZSTZp2x+V5PRW/hVJpq2Ka11dksxI8ke99bcnOXgy2yRJ0lQyb8E8AO5+4O5JbokkSVPP6u6RcjBwVlUtXs31rBFrKhCaSFXdWFW7VtWuwLOBBcDZbffXgZ2q6lnAD4H3ASTZEdgPeCbwMuDYlbyWd1XVLq38nwJvb9vfBNxbVdsDRwKfXLmrW2p13esk6wMzgD/qbT4BOHx11CdJ0tpo1tWzuj/nzprklkiSNPWs7iDldcC5IytJjkgyp/Vo+Pu27TltfcMkGye5LslO6XwqybVJrkkysx0/I8klSb7celfMSrLcdSQ5J8l3W3mHtG0HJ/mX3jFvSXJkWz4gyZWtl8dnRr7IJ5mf5J+TzAWeN96FJvlckk8nuTzJza2dJyS5Icnnesft367n2iSfbNsOTfKp3jEHJTlmwP3dC/hxVd0KUFUXVNWitu9yYJu2/ArgtKr6bVX9BLgJ2C3JtNaD5ZTWzjOSPHq8yqrq/ta+ABsB1Sv/xLZ8BrBXe37P7N3Tq5PsMNHFtB5Fn0zyPeA1SZ6a5GvtOX4ryTOSbJbk1pFn3t6Z25JsMNbx7ZjPtffkCuCLwKHAu1q7/riqFgC3JNltwD2XJOlhbd6CeZx7U/fPt3NuOsdeKZIkjbL+6io4ySOBp1TVLW39JcAOwG5AgPOS7FlVlyQ5D/go3Zfzk6vq2iSvBnYFdgG2BOYkuaQVvxuwI3Ar8DXgVXRf4PsOrqpfJtmonXsm3Zfo9yc5oqoWAm8E3prk94GZwPOramGSY+lCoJOAjYErquqvB1z2Y+nCln2A84DnA29u9e8K3EXXW+PZwL3ABUleCZwJXAYc0cqZCXxsQH37AaeOs+9g4PS2vDVdsDLiZ23bHcDTgTdV1aVJTgDeBvzTeBUm+Szwp8D1wMg92Rq4DaCqFiX5FbAFXWBxVFWd0t6HIb1M7qmqP2x1XQgcWlU/SrI7cGxVvSjJVcALgG8CewPnt+d23OjjgRe1crcB/qiqFif5EDC/qvrX+R3gj4ErR13vIcAhAFtttRWzZ88ecAlam82fP9/nrEnne6jJdPo9p7NocfffZRYtXsQHv/JBZm4xc5JbpXWZfydqKvA9VN9qC1Lowo/7eusvaZ/vt/VN6IKVS4APA3OAB4F3tP17AKe2YUF3JrkYeA5wP3BlVd0MkOTUduzoIOUdSf68LT8J2KGqLk9yEbB3khuADarqmiRvpws35nSdLdiILvQAWEwXdAzxn1VVSa4B7qyqa1obrwOmAdsCs6tqXtt+CrBnVZ3TerE8F/gR8Azg0okqasHEPrThO6P2vR9YBJwyoM23VdVIXSfT3f9xg5SqemPrrXM0XeDz2QnKvowuuNqGbojXjwa053SAdPOv/BHwpfZMAB7VO2YmXZCyH91QpYmOB/jSCoaY3UV335dRVccBxwFMnz69ZsyYMeAStDabPXs2PmdNNt9DTZZ5C+Yx56w5LKb7v8zFLGbOA3P4yO4fYcuNHtbT0GkK8+9ETQW+h+pbnUHKA8CGvfUAH6+qz4xx7BZ0wcoG7ZzfrKDsmmg9yQzgxcDzqmpBktm9tvwH8LfAD1gaAgQ4saqWCyWABx/CHC+/bX8u6S2PrK8PLJzg3NOAv2jtOruqRl/jaC8HvldVd/Y3JjmIrpfGXr0ybqcLk0Zs07bBCu7lWFqvjtOAd9Pdw5Hyf5ZuDpLN6HqWfKENp/lfwFeSvLWqLlpB8SPP/hHAfW0umNHOA/4hyePoArCL6HoOjXd8v9zxbEj3zkqStM6adfUsltSSZbYtqSXMmjuLDzz3A5PUKkmSppbVNkdKVd0LrJdkJMA4Hzg4S3/pZeskT2j7PgN8kK4HxchEpd8CZiZZL8njgT1ZOuxityTbtXkyZgL/Par6zegmP13Q5sl4bq9dV9B96X8tS4fFXAjsO9KeJI9Lsu1Y15Xk472eLg/VlcALkmzZenXsD1zc9p1NN9fI/nShyorsz6hhPUleRhdu7NPm/RhxHrBful/X2Y6uJ9DIvXxykpG5X17L8vdypOwk2X5kma43zA965b+hLe8LXNR65jwFuLmq/pVurpxntfMvTLL1RBfX5mP5SZLX9Orfpe2bT9eD6Sjgv6pq8UTHj+HXwKajtj0NuHaiNkmS9HA39665LFyy7H/3WbhkIVfdddUktUiSpKlndfZIAbiAbtjNN6rqgjYXyWVt6MV84ID25X9h672wHvDtJC+iCxaeB8yl6yXx7qr6RQtG5gDHANvTDe84e1S9XwMObcN3bmTZ+UGgmytl1xb2UFXXJ/kA3Zwlj6DrOXIY3Rwso+1MFxw8ZFV1R5L3tjYH+HJVndv23dvau2NVXTlROUk2Bv4EeOuoXcfQDWf5ervHl1fVoVV1XZIv0s1rsgg4rPUqge7+HNbmR7ke+PR41QInJnlMW54L/GXbdzzw+SQ3Ab+kG24DXQ+bA5MsBH5B14vkEXTP7ZcTXWPzOuDT7dlsQBcwzW37Tge+RPcLPEOO7/tP4IwkrwAOr6pv0c1n86EBbZIk6WHrjH2WjpTe+cSdueYN10xiayRJmppWd5Dyb8C7gG8AVNVRdL0I+n5MN6krbQjN7r19R7B0Ata++6tq79Ebq2pab/XlE7RrD7qf6e2fezpLJ2ftb99k1KYNquqyMY47qLd8C7DTOPtOZZwJYse6pnGO+w3dcKjR27ef4JyPMfYEtouq6oABdS6hCxvG2vcg8Joxtn8C+ER/W5KdgDOrarlhNKOeH+0Xhl42Tp1n0AU6Kzy+f//b+g9pvWNam/4AuK6q7hmrLkmSJEmSRqzWnz+uqu8B32w9TSZdks2T/BB4oKouXJkyquqlq7hZ65Squraq/mqy2zHKlnRDyyRJkiRJmtDq7pFCVZ2wisubDcxeyXPvo5sLY8pLsgXd3C2j7bWqek6M7jnTq/tsYLtRm99TVeevinqnmqr6+mS3QZIkSZK0dljtQYpWTgtLxvsFmtVd98pOpitJkiRJ0sPaah3aI0mSJEmS9HBikCJJkiRJkjSQQYokSZIkSdJABimSJEmSJEkDGaRIkiRJkiQNZJAiSZIkSZI0kEGKJEmSJEnSQAYpkiRJkiRJAxmkSJIkSZIkDWSQIkmSJEmSNJBBiiRJkpZz9LZHT3YTJEmakgxSJEmSJEmSBjJIkSRJkiRJGsggRZIkSZIkaSCDFEmSJEmSpIEMUiRJkiRJkgYySJEkSZIkSRrIIEWSJEmSJGkggxRJkiRJkqSBDFIkSZIkSZIGMkiRJEmSJEkayCBFkiRJkiRpIIMUSZIkSZKkgQxSJEmSJEmSBjJIkSRJkiRJGsggRZIkSZIkaSCDFEmSJEmSpIEMUiRJkiRJkgYySJEkSZIkSRrIIEWSJEmSJGkggxRJkiRJkqSBDFIkSZIkSZIGMkiRJEmSJEkayCBFkiRJkiRpIIMUSZIkSZKkgQxSJEmSJEmSBjJIkSRJkiRJGsggRZIkSZIkaSCDFEmSJEmSpIEMUiRJkiRJkgYySJEkSZIkSRrIIEWSJEmSJGkggxRJkiRJkqSBDFIkSZIkSZIGMkiRJEmSJEkayCBFkiRJkiRpIIMUSZIkLefwWw+f7CZIkjQlGaRIkiRJkiQNZJAiSZIkSZI0kEGKJEmSJEnSQAYpkiRJkiRJAxmkSJIkSZIkDWSQIkmSJEmSNJBBiiRJkiRJ0kAGKZIkSZIkSQMZpEiSJEmSJA1kkCJJkiRJkjSQQYokSZIkSdJABimSJEmSJEkDGaRIkiRJkiQNZJAiSZIkSZI00BoLUpJslOTiJOutofpuSbLlmqhrTUvy9iQ3Jan+NSZ5XZKrk1yT5NtJdunte1eS65Jcm+TUJBu27cvdpyTTkly7mtq+W5Kr2mdukj/v7XtZkhvbtb13Fdc7I8l/jbPvG0keuyrrkyRpbTZvwTwA7n7g7kluiSRJU8+a7JFyMHBWVS1eg3WuNmsqEBrHpcCLgVtHbf8J8IKq2hn4CHAcQJKtgXcA06tqJ2A9YL8119xlXNvasSvwMuAzSdZv9/PfgJcDOwL7J9lxDbXp88Db1lBdkiRNebOuntX9OXfWJLdEkqSpZ00GKa8Dzh1ZSXJEkjmtB8Xft23PaesbJtm49aDYKZ1Ptd4U1ySZ2Y6fkeSSJF9uPRlmJVnumpKck+S7rbxD2raDk/xL75i3JDmyLR+Q5MrWa+IzI6FJkvlJ/jnJXOB5411o69FxUbuWC5M8uW1/apLL2zV8NMn8tv0RSY5N8oMkX0/ylST7jld+VX2/qm4ZY/u3q+retno5sE1v9/rARknWBx4N/HxUmzdK8tUkbxk5PskpSW5IckaSR7fjbknyj+0arkyyfdv+mvZ85ia5ZIK2L6iqRW11Q6Da8m7ATVV1c1X9D3Aa8IpW9ieSXN/u5z+NV3Y7dlqSbyX5Xvv8UW/3Y8Z5V84D9p+oXEmS1hXzFszj3Ju6f7Kdc9M59kqRJGmU9ddEJUkeCTxl5Mt/kpcAO9B9eQ5wXpI9q+qSJOcBHwU2Ak6uqmuTvBrYFdgF2BKY0/uyvhtdD4Zbga8BrwLOGNWEg6vql0k2aueeCXwReH+SI6pqIfBG4K1Jfh+YCTy/qhYmOZYuBDoJ2Bi4oqr+egWXfDRwYlWdmORg4F+BVwJHAUdV1alJDu0d/ypgWruOJwA3ACes6L6uwJuArwJU1e0tgPgp8ABwQVVd0Dt2E7rg4qSqOinJNODpwJuq6tIkJ9D12BgJMX5VVTsneT3wL8DewN8BL211bT5Rw5Ls3q5vW+DAqlrUes3c1jvsZ8DuSbYA/hx4RlXVisoG7gL+pKoeTLIDcCowve0b812pqnuTPCrJFlV1z6i2HgIcArDVVlsxe/bsFVSvtd38+fN9zpp0voeaTKffczqLFnf/zWPR4kV88CsfZOYWMye5VVqX+XeipgLfQ/WtkSCFLvy4r7f+kvb5flvfhC5YuQT4MDAHeJBuOArAHsCpbVjQnUkuBp4D3A9cWVU3AyQ5tR07Okh5R5bOxfEkYIequjzJRcDeSW4ANqiqa5K8HXg2XeACXaBzVzt3MXDmgOt9Ht2XdOiGjfxjb/sr2/IXWBpM7AF8qaqWAL9I8s0BdYwryQvpgpQ92vpj6Xp3bEf3HL6U5ICqOrmdci7wj1V1Sq+Y26rq0rZ8Mt2zGGnvqb0/j2zLlwKfS/JF4KyJ2ldVVwDPbKHViUm+OsHhv6J7F45PN8fJmPOc9GwAHJNkV7rn9bTevonelbuAJwLLBClVdRxtiNT06dNrxowZK6hea7vZs2fjc9Zk8z3UZJm3YB5zzprDYrqR2ItZzJwH5vCR3T/Clhs9LKee01rAvxM1Ffgeqm9NDe15gG4Yx4gAH6+qXdtn+6o6vu3bgi5Y2XTUOeOpidaTzKCbT+R5VbULXXgzUu5/AAfR9Ub5bK9tJ/ba9vSq+lDb9+BUn+MlybPorusVvd4VLwZ+UlXzWu+bs4D+kJdLgZelJUfNRPd1ueWqOhT4AF1Q9d3Wk2RCVXUDMB/YCbi9nTtiG+D2NgxoN7rAY2+6niQTeRdwJ13vpenAIwde04Z076kkSeusWVfPYkktWWbbklriXCmSJPWskSClzduxXtovxQDnAwcn2QS6yVCTPKHt+wzwQeAU4JNt27eAmUnWS/J4YE/gyrZvtyTbtfkuZgL/Par6zYB7q2pBkmcAz+216wq6L++vZWkviwuBfUfak+RxSbYd67qSfLzX06Xv2yydzPV1rf3QzVvy6rbcn+z1UuDVba6UrYAZY9W3Im0ulrPohsv8sLfrp8Bzkzy6hSV70Q0fGvF3wL10k72OeHKSkXlgXsuy93Vm78/LWt1PraorqurvgHksG4r027hdm6eFdl+fAdxC1wtph7b/kXT357z2jmxWVV+hC0l2aef+eZKPj1HFZsAdrXfPgXQT644Y811p9+T/a+2QJGmdNfeuuSxcsnCZbQuXLOSqu66apBZJkjT1rKmhPQAX0A2l+EZVXdCGdVzWOkHMBw5I8jJgYVV9Id0Er99O8iLgbLphMXPpehG8u6p+0YKROcAxwPbAN9uxfV8DDm3Dd26kCzP6vgjsOjJJa1Vdn+QDwAXtC/dC4DCW/4UcgJ3pJiod7XDgs0mOoAsV3ti2vxM4Ocn7W7t+1bafSRduXE83T8j3evuWk+QdwLvpvvxfneQrVfVmukBkC+DYdl8XVdX0qroiyRmt3EV0vXKOG1Xs/wZOSPKPwLHtXh3W5ke5Hvh079jHJrka+C1LJ2n9VJuTJHRh1Nxxmr8H8N4kC4ElwNuq6u52XW+nC9nWA06oquuS/B5wbgvhAvxVK+epdEO7RjsWOLPN3/I14De9feO9K88GLu9NgitJ0jrpjH2Wjo7e+cSdueYN10xiayRJmppSNXq0w2qqKPlD4F1VdeAqLHMG8DdVtffvUMZ/AUdW1YUrce75VfXSh3D8o4EH2qSp+wH7V9XIL9NsUlXz25CYK+kmu/3FQ23T6pbkFrqfL57UKfyTnEz3Ps1bBWUdBZy3ondg+vTp9Z3vfOd3rU5TnONfNRX4HmoqMEjRVOHfiZoKfA/XDUm+W1XTV3TcGuuRUlXfS/LNJOtNhXlG2q+/XAnMXZkQBeChhCjNs+kmQg3dpK8H9/b9V2vTI4GPTMUQZSqpqgNWYXHXruw7IEmSJElat6zJoT1U1e/6k76jy5sNzF7Jc+9j2V90We2q6lu0OT7G2Ddj9LYkZ9P90k7fe6rq/FXfumGqatqQ45K8lKVz3Iz4SVWNNafMpKqqf5/sNkiSJEmS1g5rNEjRQzMVQ4ehWtgzaYGPJEmSJEmrw5r6+WNJkiRJkqS1nkGKJEmSJEnSQAYpkiRJ/3979x5uV1Wfe/z7ElRAWi8g1IoSBCoiKEoMXlAjKuCpVVFsVPCG1fIoeKtaPCpe8FSF9qAFEaiiKIggIlAEgSIRGoSEWwgXUY6AiCJBAZuCmsvv/DHHbhY7O3vPXPdO8v08T5691pxjzfmbc41nJ+vNGGNJkiT1ZJAiSZIkSZLUk0GKJEmSJElSTwYpkiRJkiRJPRmkSJIkSZIk9WSQIkmSJEmS1JNBiiRJkiRJUk8GKZIkSZIkST0ZpEiSJGkpR2191HiXIEnShGSQIkmSJEmS1JNBiiRJkiRJUk8GKZIkSZIkST0ZpEiSJEmSJPVkkCJJkiRJktSTQYokSZIkSVJPBimSJEmSJEk9GaRIkiRJkiT1ZJAiSZIkSZLUk0GKJEmSJElSTwYpkiRJkiRJPRmkSJIkSZIk9WSQIkmSJEmS1JNBiiRJkiRJUk8GKZIkSZIkST0ZpEiSJEmSJPVkkCJJkiRJktSTQYokSZIkSVJPBimSJEmSJEk9GaRIkiRJkiT1ZJAiSZIkSZLUk0GKJEmSJElSTwYpkiRJkiRJPRmkSJIkSZIk9WSQIkmSJEmS1JNBiiRJkiRJUk8GKZIkSZIkST0ZpEiSJEmSJPVkkCJJkiRJktSTQYokSZIkSVJPBimSJEmSJEk9GaRIkiRJkiT1ZJAiSZIkSZLUk0GKJEmSJElSTwYpkiRJWsrBtx883iVIkjQhGaRIkiRJkiT1ZJAiSZIkSZLUk0GKJEmSJElSTwYpkiRJkiRJPRmkSJIkSZIk9WSQIkmSJEmS1JNBiiRJkiRJUk8GKZIkSZIkST0ZpEiSJEmSJPVkkCJJkiRJktSTQYokSZIkSVJPBimSJEmSJEk9GaRIkiRJkiT1ZJAiSZIkSZLU00oFKUk2TvKjJJNWVUFjnO+2JJuviXOtaUkOSnJLkhq8xiT7JbkuydwklyV5xsC+9ye5Icn1SU5JslHbvtR9SjI5yfWrqfapSa5tf+Yk2Wdg395Jbm7XdsgKHv+tSY5edRUvdfyDkhywuo4vSdLaZt4D8wC458F7xrkSSZImnpUdkXIAcEZVLVoVxYy3NRUILcNM4KXA7cO23wq8qKp2Bg4DjgdI8gTgPcCUqtoJmAS8fs2V+xDXtzp2AfYGjkuyYbufXwJeDuwIvCHJjuNU42hOAA4e7yIkSZoojr3u2O7nnGPHuRJJkiaelQ1S9gPOGnqS5ENJZrcRFJ9q257dnm+U5JFtBMVO6RzRRlPMTTK9tZ+W5JIk328jGY5NslSdSc5MclU73jvbtgOSfGGgzTuSHNke759kVhs1cdxQaJJkfpJ/STIHeO6yLrSN6Phhu5aLkjypbd82yeXtGj6TZH7bvkGSY5L8JMmFSc5Nsu+yjl9V11TVbSNsv6yq7m1PLwe2Gti9IbBxkg2BTYBfDat54yTnJXnHUPskJye5KcnpSTZp7W5Lcni7hllJtmvbX9fenzlJLhml9geqamF7uhFQ7fFU4Jaq+nlV/Qn4NvCqduzPJbmx3c9/XtaxBzwxyYwkP0vyiYFrHKkfTEry9YG+9f62fdskP2jtL02yw1D9wG1JpvaoQ5Kkddq8B+Zx1i3dP+/OvOVMR6VIkjTMhiv6wiQPB5489OE/yZ7A9nQfngOcneSFVXVJkrOBzwAbAydV1fVJXgvsAjwD2ByYPfBhfSrdCIbbgR8ArwFOH1bCAVX1uyQbt9d+FzgN+GiSD1XVAuBtwN8neSowHXh+VS1IcgxdCPQN4JHAFVX1D2Nc8lHAiVV1YpsG8q/Aq4EvAl+sqlOSHDjQ/jXA5HYdWwA30Y18WBlvB84DqKo7WwDxC+BB4IKqumCg7aZ0wcU3quobSSYDTwHeXlUzk5wAvAsYCjHur6qdk7wZ+ALwCuBQYK92rkePVliS3dr1bQ28qaoWtlEzdww0+yWwW5LNgH2AHaqqxjp2MxXYCXiA7v3+flVdycj9YDLwhDZSh4HjHw8cWFU/a/UeA+zR9l0JvACYNey63gm8E2DLLbdkxowZPUrV2mz+/Pm+zxp39kONp1N/eyoLF3X/P7Jw0UI+fu7Hmb7Z9HGuSuszfydqIrAfatAKByl04cd9A8/3bH+uac83pQtWLgE+DcwG/kA3HQVgd+CUNi3oN0l+BDwb+D0wq6p+DpDklNZ2eJDynixZi+OJwPZVdXmSHwKvSHIT8LCqmpvkIGBXug/a0AU6d7fXLgK+2+N6n0sXjgB8Ezh8YPur2+NvsSSY2B34TlUtBu5KcnGPcyxTkhfTBSm7t+ePoRvdsQ3d+/CdJPtX1UntJWcBh1fVyQOHuaOqZrbHJ9G9F0P1njLw88j2eCbw9SSnAWeMVl9VXQE8rYVWJyY5b5Tm99P1ha8mOQc4Z7RjNxdW1W8BkpxBdx+uZIR+ANwMPDnJUcD3gQuSbAo8j+4+DR3zEQPHvxvYYYTrOp42nWrKlCk1bdq0HqVqbTZjxgx8nzXe7IcaL/MemMfsM2aziG7W9iIWMfvB2Ry222FsvvE6uUyd1gL+TtREYD/UoJWZ2vMg3TSOIQE+W1W7tD/bVdVX277N6IKVPxv2mmWp0Z4nmUa3nshzq+oZdOHN0HG/AryVbjTK1wZqO3GgtqdU1Sfbvj9M9DVekjyd7rpeNRQm0F3/rVU1r42+OYMuKBgyE9g7A6kBo9/XpR5X1YHAx+gCiqvaSJJRVdVNwHy60SN3ttcO2Qq4s00DmkoXjr2CbtTRmIce/nxZ/aBNhXoGMAM4kO7ebQDcN9AHdqmqpw4cbyO6Pi1J0nrr2OuOZXEtfsi2xbXYtVIkSRqwwkFK+7A6Ke2bYoDzgQPa//yT5AlJtmj7jgM+DpwMfL5tuxSY3tazeBzwQpZMq5iaZJt0a6NMB/5z2OkfBdxbVQ+0dS6eM1DXFXQf3t/IklEWFwH7DtWT5LFJth7pupJ8dmCEw6DLWLKY636tfujWLXltezy42OtM4LVtrZQtgWkjnW8sbS2WM+imy/x0YNcvgOck2aSFJS+hmz405FDgXrrFXoc8KcnQOjBv5KH3dfrAzx+3c29bVVdU1aHAPB4aigzWuE1bp4V2X3cAbqMbhbR92/9wuvtzdusjj6qqc4H304UeJNknyWeXcSte1t63jelGAM1kGf0g3TcWbVBV36ULgp5VVb8Hbk3yutYmGfgGJOCv6BbNlSRpvTXn7jksWLzgIdsWLF7AtXdfO04VSZI08azM1B6AC+imWPxHVV3QpnX8uA2CmA/sn2RvYEFVfSvdAq+XJdkD+B7dtJg5dKMNPlxVd7UPxLOBo4HtgItb20E/AA5s03dupgszBp0G7DK0SGtV3ZjkY3RTPDYAFgDvZulvyAHYGTh7hO0HA19L8iG6UOFtbfv7gJOSfLTVdX/b/l26cONGunVCrh7Yt5Qk7wE+DPwFcF2Sc6vq7+gCkc2AY9p9XVhVU6rqiiSnt+MupBuNcfyww74XOCHJ4XTrgdwMvLutj3Ij8OWBtrgPdf8AABl9SURBVI9Jch3wR+ANbdsRSbanG9FzEd17NZLdgUOSLAAWA++qqnvadR1EF7JNAk6oqhuSPB44q4VwAT7QjrMt3dSukcyiu6db0a2zc2WSuYzcD55A914NBYUfaT/3A77c+sLD6NaQGbqm5wOfXMa5JUlaL5z+yiUzqXc+cWfmvmXuOFYjSdLElKrhMyaW48XJs4D3V9WbVllB3XSND1bVK1biGOcAR1bVRSvw2vOraq/laL8J8GBbNPX1wBuqauibaTatqvltSswsusVu71remla3JLfRfX3xuC7Ln+Qkuv40bw2f95nAB8bqx1OmTKkrr7xyDVWl8eL8V00E9kNNBAYpmij8naiJwH64fkhyVVVNGavdSo1Iqaqrk1ycZNJEWGekfTvLLGDOioQoAMsTojS7Ake36TX3AQcM7Dun1fRw4LCJGKJMJFW1/zidenO6qWeSJEmSJI1qZaf2UFUr+5W+w483g26R0BV57X10a12sMVV1KW2NjxH2TRu+Lcn36L5pZ9A/VtX5q766fqpqcp92SfZiyRo3Q26tqpHWlFlrVNWF412DJEmSJGntsNJBipbP2hw6tLBn3AIfSZIkSZLG28p8/bEkSZIkSdJ6xSBFkiRJkiSpJ4MUSZIkSZKkngxSJEmSJEmSejJIkSRJkiRJ6skgRZIkSZIkqSeDFEmSJEmSpJ4MUiRJkiRJknoySJEkSZIkSerJIEWSJEmSJKkngxRJkiQt5aitjxrvEiRJmpAMUiRJkiRJknoySJEkSZIkSerJIEWSJEmSJKkngxRJkiRJkqSeDFIkSZIkSZJ6MkiRJEmSJEnqySBFkiRJkiSpJ4MUSZIkSZKkngxSJEmSJEmSejJIkSRJkiRJ6skgRZIkSZIkqSeDFEmSJEmSpJ4MUiRJkiRJknoySJEkSZIkSerJIEWSJEmSJKkngxRJkiRJkqSeDFIkSZIkSZJ6MkiRJEmSJEnqySBFkiRJkiSpJ4MUSZIkSZKkngxSJEmSJEmSejJIkSRJkiRJ6skgRZIkSZIkqSeDFEmSJEmSpJ4MUiRJkiRJknoySJEkSZIkSerJIEWSJEmSJKkngxRJkiRJkqSeDFIkSZIkSZJ6MkiRJEmSJEnqySBFkiRJkiSpJ4MUSZIkSZKkngxSJEmSJEmSejJIkSRJkiRJ6skgRZIkSZIkqSeDFEmSJC3l4NsPHu8SJEmakAxSJEmSJEmSejJIkSRJkiRJ6skgRZIkSZIkqSeDFEmSJEmSpJ4MUiRJkiRJknoySJEkSZIkSerJIEWSJEmSJKkngxRJkiRJkqSeDFIkSZIkSZJ6MkiRJEmSJEnqySBFkiRJkiSpJ4MUSZIkSZKkngxSJEmSJEmSejJIkSRJkiRJ6mnMICXJxkl+lGTSmigoyW1JNl8T51rTkhyU5JYkNXiNSfZLcl2SuUkuS/KMgX3vT3JDkuuTnJJko7Z9qfuUZHKS61dT7VOTXNv+zEmyz8C+vZPc3K7tkNVx/lUpyf8eePzwJJck2XA8a5IkaSKZ98A8AO558J5xrkSSpImnz4iUA4AzqmrR6i5mTVhTgdAyzAReCtw+bPutwIuqamfgMOB4gCRPAN4DTKmqnYBJwOvXXLkPcX2rYxdgb+C4JBu2+/kl4OXAjsAbkuy4MidaXaFGOhsA/xOkVNWfgIuA6avjnJIkrY2Ove7Y7uecY8e5EkmSJp4+Qcp+wFlDT5J8KMnsNoLiU23bs9vzjZI8so2g2Kl9cD2ijaaYm2R6az+tjQL4fhvJcGz7gPsQSc5MclU73jvbtgOSfGGgzTuSHNke759kVhs1cdxQaJJkfpJ/STIHeO6yLrSN6Phhu5aLkjypbd82yeXtGj6TZH7bvkGSY5L8JMmFSc5Nsu+yjl9V11TVbSNsv6yq7m1PLwe2Gti9IbBxCxc2AX41rOaNk5yX5B1D7ZOcnOSmJKcn2aS1uy3J4e0aZiXZrm1/XXt/5iS5ZJTaH6iqhe3pRkC1x1OBW6rq5y2U+DbwqnbszyW5sd3Pf17WsVvbtyY5O8kP6YKNZfW1zyV598DrPpnkg6O0n9z62DfowqCvtvt5bZKT22HOpOvnkiSt9+Y9MI+zbun+6XfmLWc6KkWSpGFG/Z//JA8Hnjz04T/JnsD2dB+eA5yd5IVVdUmSs4HPABsDJ1XV9UleC+wCPAPYHJg98GF9Kt0IhtuBHwCvAU4fVsIBVfW7JBu3134XOA34aJIPVdUC4G3A3yd5Kt2ogudX1YIkx9B9OP4G8Ejgiqr6hzHux1HAiVV1YpIDgH8FXg18EfhiVZ2S5MCB9q8BJrfr2AK4CThhjHOM5e3AeQBVdWcLIH4BPAhcUFUXDLTdlC64+EZVfSPJZOApwNuramaSE4B3AUMhxv1VtXOSNwNfAF4BHArs1c716NEKS7Jbu76tgTdV1cI2auaOgWa/BHZLshmwD7BDVdVYx26eBTy9vecj9jXg1Fb7l9pr/hbYa5T2v2jb31JVl7freF0bWTPkeuDZy7jmdwLvBNhyyy2ZMWNGj8vQ2mz+/Pm+zxp39kONp1N/eyoLF3X/d7Jw0UI+fu7Hmb6ZAzc1fvydqInAfqhBY02h2By4b+D5nu3PNe35pnQfUi8BPg3MBv5ANx0FYHfglDYt6DdJfkT3gfX3wKyq+jlAklNa2+FBynuyZC2OJwLbV9XlbdTCK5LcBDysquYmOQjYlS5wgS7Qubu9dhHw3bFuBt1olde0x98EDh/Y/ur2+FssCSZ2B75TVYuBu5Jc3OMcy5TkxXRByu7t+WPoRndsQ/c+fCfJ/lV1UnvJWcDhVXXywGHuqKqZ7fFJdO/FUL2nDPw8sj2eCXw9yWnAGaPVV1VXAE9rodWJSc4bpfn9dH3hq0nOAc4Z7djNhVX1u/Z4xL5WVV9NskWSvwQeB9xbVXckee9I7emClNuHQpRlXNeiJH9K8mdV9V/D9h1Pm2o1ZcqUmjZtWo/L0NpsxowZ+D5rvNkPNV7mPTCP2WfMZhHdjO5FLGL2g7M5bLfD2HzjdXIJO60F/J2oicB+qEFjBSkP0k3jGBLgs1V13AhtN6P78Pqw9pr/HuPYNdrzJNPo1hN5blU9kGTGQC1foVvn4ifA1wZqO7GqPjLCuf4w0dd4SfJ0uut6eVX9tm1+KXBrVc1rbc4AnkcXkEAXguyd5FtVNXT/RruvSz2uqgPbSJO/Bq5KsuvA+UdUVTe16U07AXfShVxDtgLubKNVpgIvAfYFDgL2GPUmPLTPjNbXvtOO+Rd0I1SW2b6N0hmrLwI8gi74kSRpvXXsdceyuBY/ZNviWsyxc47lY8/52DhVJUnSxDLqGilt3Y5Jad8UA5wPHJBkU+gWQ02yRdt3HPBx4GTg823bpcD0JJOSPA54ITCr7ZuaZJt0a6NMB/5z2OkfRTfa4IEkOwDPGajrCroP729kySiLi4B9h+pJ8tgkW490XUk+OzDSZdBlLFnMdb9WP3Trlry2PR5c7HUm8Nq2VsqWwLSRzjeWdGuxnEE3XeanA7t+ATwnySbphtm8hG760JBDgXtZMs0F4ElJhtaBeSMPva/TB37+uJ1726q6oqoOBebx0FBksMZt2jottPu6A3Ab3Sik7dv+h9Pdn7NbH3lUVZ0LvJ9uehdJ9kny2R63ZbS+dmo7z750ocpY7YdbkORhA9e2GXBPmyomSdJ6a87dc1iw+KF/HS5YvIBr7752nCqSJGni6fPtKBfQTTX5j6q6oE3r+HGbPjMf2D/J3sCCqvpWugVeL0uyB/A9umkxc+hGQHy4qu5qwchs4GhgO+Di1nbQD4AD2/Sdm+nCjEGnAbsMLdJaVTcm+RhwQQtnFgDvZulvyAHYGTh7hO0HA19L8iG6UOFtbfv7gJOSfLTVdX/b/l26cONGunVCrh7Yt5Qk7wE+TDeS4rok51bV39EFIpsBx7T7urCqplTVFUlOb8ddSDdt5fhhh30vcEKSw4Fj2r16d1sf5UbgywNtH5PkOuCPwBvatiOSbE83ouMiuvdqJLsDhyRZACwG3lVV97TrOoguyJgEnFBVNyR5PHBWC+ECfKAdZ1u6qV2jWlZfA+5ux/8zupEvvx6j/UgjkY6nu/9XV9V+wIuB749VkyRJ67rTX7lklvXOJ+7M3LfMHcdqJEmamLJkRsgyGiTPAt5fVW9aZSftpu18sKpesRLHOAc4sqouWoHXnl9Vey1H+02AB9uiqa8H3lBVQ99Ms2lVzW+jGmbRLXZ71/LWtLoluY3u64vHden9JCfR9ad541nHoDZl6pBho4GWMmXKlLryyivXUFUaL85/1URgP9REYJCiicLfiZoI7IfrhyRXVdWUsdqNOSKlqq5OcnGSSRNhnZH27S+zgDkrEqIALE+I0uwKHN2m19wHHDCw75xW08OBwyZiiDKRVNX+413DoDYd6cyxQhRJkiRJkqDf1B6qamW/0nf48WYAM1bwtfcBf7Uq6+lxzktpa3yMsG/a8G1Jvkf3TTuD/rGqzl/11fVTVZP7tEuyF0vWuBlya1WNtKbMWq+q/kT3FdmSJEmSJI2pV5Ci5bM2hw4t7Bm3wEeSJEmSpIls1G/tkSRJkiRJ0hIGKZIkSZIkST0ZpEiSJEmSJPVkkCJJkiRJktSTQYokSZIkSVJPBimSJEmSJEk9GaRIkiRJkiT1ZJAiSZIkSZLUk0GKJEmSJElSTwYpkiRJkiRJPRmkSJIkaSlHbX3UeJcgSdKEZJAiSZIkSZLUk0GKJEmSJElSTwYpkiRJkiRJPRmkSJIkSZIk9WSQIkmSJEmS1JNBiiRJkiRJUk8GKZIkSZIkST0ZpEiSJEmSJPVkkCJJkiRJktSTQYokSZIkSVJPBimSJEmSJEk9GaRIkiRJkiT1ZJAiSZIkSZLUk0GKJEmSJElSTwYpkiRJkiRJPRmkSJIkSZIk9ZSqGu8apLVCknnA7eNdh1a7zYF7xrsIrffsh5oI7IeaKOyLmgjsh+uHravqcWM1MkiRpAFJrqyqKeNdh9Zv9kNNBPZDTRT2RU0E9kMNcmqPJEmSJElSTwYpkiRJkiRJPRmkSNJDHT/eBUjYDzUx2A81UdgXNRHYD/U/XCNFkiRJkiSpJ0ekSJIkSZIk9WSQImm9k+SxSS5M8rP28zHLaPeW1uZnSd4ywv6zk1y/+ivWumhl+mGSTZJ8P8lPktyQ5HNrtnqt7ZLsneTmJLckOWSE/Y9Icmrbf0WSyQP7PtK235xkrzVZt9YtK9oPk7wsyVVJ5rafe6zp2rVuWZnfiW3/k5LMT/LBNVWzxpdBiqT10SHARVW1PXBRe/4QSR4LfALYDZgKfGLwg26S1wDz10y5WketbD/856raAXgm8PwkL18zZWttl2QS8CXg5cCOwBuS7Dis2duBe6tqO+BI4PPttTsCrweeBuwNHNOOJy2XlemHwD3A31TVzsBbgG+umaq1LlrJvjjk/wLnre5aNXEYpEhaH70KOLE9PhF49Qht9gIurKrfVdW9wIV0HxpIsinwAeAza6BWrbtWuB9W1QNVdTFAVf0JuBrYag3UrHXDVOCWqvp56z/fpuuPgwb75+nAS5Kkbf92Vf2xqm4FbmnHk5bXCvfDqrqmqn7Vtt8AbJzkEWukaq2LVuZ3IkleDdxK1xe1njBIkbQ+2rKqft0e3wVsOUKbJwB3DDz/ZdsGcBjwL8ADq61CrQ9Wth8CkOTRwN/QjWqR+hizXw22qaqFwP3AZj1fK/WxMv1w0GuBq6vqj6upTq37Vrgvtv9c+0fgU2ugTk0gG453AZK0OiT5D+AvRtj10cEnVVVJen99WZJdgG2r6v3D58dKw62ufjhw/A2BU4B/raqfr1iVkrR2SvI0uikWe453LVpvfRI4sqrmtwEqWk8YpEhaJ1XVS5e1L8lvkjy+qn6d5PHA3SM0uxOYNvB8K2AG8FxgSpLb6H6HbpFkRlVNQxpmNfbDIccDP6uqL6yCcrX+uBN44sDzrdq2kdr8sgV2jwJ+2/O1Uh8r0w9JshXwPeDNVfX/Vn+5WoetTF/cDdg3yeHAo4HFSf5QVUev/rI1npzaI2l9dDbd4nS0n2eN0OZ8YM8kj2mLe+4JnF9VX66qv6yqycDuwE8NUbSCVrgfAiT5DN0/5N63BmrVumU2sH2SbZI8nG7x2LOHtRnsn/sCP6yqattf377BYhtge2DWGqpb65YV7odtSuP3gUOqauYaq1jrqhXui1X1gqqa3P5d+AXgnwxR1g8GKZLWR58DXpbkZ8BL23OSTEnyFYCq+h3dWiiz259Pt23SqrLC/bD9T+xH6b5d4Ook1yb5u/G4CK192vz+g+hCuZuA06rqhiSfTvLK1uyrdPP/b6FbXPuQ9tobgNOAG4EfAO+uqkVr+hq09luZfthetx1waPv9d22SLdbwJWgdsZJ9UeupdP+5IEmSJEmSpLE4IkWSJEmSJKkngxRJkiRJkqSeDFIkSZIkSZJ6MkiRJEmSJEnqySBFkiRJkiSpJ4MUSZIkSZKkngxSJEmSllOSGUmmjHMNk5NcP541DEoyf4z9RyS5IckRa6qmsSSZluT+JOeuhmO/IMmNE+k9kiStGhuOdwGSJEl6qCSTqmrRCr52w6pauKprWgXeCTx2+HVNgHovrapXrOqDVtWlSf4XcM6qPrYkaXw5IkWSJK1zkuyfZFaSa5Mcl2RSkq2T/CzJ5kk2SHJpkj1b+w8kub79eV/bNjnJT5KcnOSmJKcn2WSEc305yZVttMWn2rY9kpw50OZlSb7XHu+Z5MdJrk7ynSSbtu23Jfl8kquB1y3junZNMifJHODdA9vfmuTsJD8ELkrniHY9c5NMb+2mJbkkyfeT3Jzk2CQbtH3zkxzZruOiJI9r27dN8oMkV7V7tkPbvk27jrlJPjPG+3E2sClwVZLpSb7ezn0FcHiSqe1Y1yS5LMlTBq7rzCQXtvtzUHuvrklyeZLHjlHj69o9mJPkktF7zf/cnxntvR5679P2HZpkdjve8QPbZ7T3bVaSnyZ5wVjnkSSt3QxSJEnSOiXJU4HpwPOrahdgEbBfVd0OfB74MvAPwI1VdUGSXYG3AbsBzwHekeSZ7XBPAY6pqqcCvwfeNcIpP1pVU4CnAy9K8nTgYmCHoTCiHf+EJJsDHwNeWlXPAq4EPjBwrN9W1bOq6tvLuLyvAQdX1TNG2PcsYN+qehHwGmAX4BnAS4Ejkjy+tZsKHAzsCGzb2gI8Eriyqp4G/Aj4RNt+fDvnrsAHgWPa9i8CX66qnYFfL6NeAKrqlcCDVbVLVZ3aNm8FPK+qPgD8BHhBVT0TOBT4p4GX79RqfDbwf4AHWrsfA28eo8ZDgb3a/XrlaDUOeCbwPrr782Tg+W370VX17KraCdgYGBzFsmFVTW2v+wSSpHWaQYokSVrXvATYFZid5Nr2/MkAVfUV4M+BA+k+cAPsDnyvqv67quYDZwBDowruqKqZ7fFJre1wf9tGkVwDPA3YsaoK+Cawf5JHA88FzqMLanYEZrba3gJsPXCsU1mGdpxHV9XQyIpvDmtyYVX9buCaTqmqRVX1G7pg5Nlt36yq+nmbYnPKwDUtHjj/ScDubbTM84DvtHqPA4YCmee3149USx/fGZjm86h2juuBI+nu45CLq+q/qmoecD/w7237XGDyGDXOBL6e5B3ApJ51zaqqX1bVYuBaYHLb/uIkVySZC+wxrMYz2s+rBtpLktZRrpEiSZLWNQFOrKqPLLWjm5qzVXu6KfBfYxyrRnueZBu6QObZVXVvkq8DG7XdX6P70P8HutBgYZsOcmFVvWEZ5/vvMeoZTd/XjnpNw7ZvANzXRvb0OdbyGKz3MLrAZJ8kk4EZA/v+OPB48cDzxXT/ll1mjVV1YJLdgL+mm1a0a1X9doy6Bs+3CNgwyUZ0o1ymVNUdST7Jkvd58DWL8N/XkrTOc0SKJEla11wE7JtkC4Akj00yNOrj88DJdFM+/q1tuxR4dZJNkjwS2KdtA3hSkue2x28E/nPYuf6cLhC4P8mWwMuHdlTVr4Bf0U3l+VrbfDnw/CTbtdoemeSv+lxUVd0H3JdkaATJfqM0vxSYnm5tmMcBLwRmtX1T2/omG9BNgRq6pg2AfQevtap+D9ya5HWt3iQZmlY0E3h9j1r6eBRwZ3v81uV54Wg1Jtm2qq6oqkOBecATV7C+odDknjYCZt/RGkuS1m0GKZIkaZ1SVTfShRcXJLkOuBB4fJIX0U1v+XxVnQz8Kcnbqupq4Ot0QcMVwFeq6pp2uJuBdye5CXgM3foqg+eaQzel5yfAt+jChUEn000Puqm1n0cXFJzSavsxsMNyXN7bgC+1KSwZpd33gOuAOcAPgQ9X1V1t32zgaOAm4NbWFrpAaGqbXrMH8Om2fT/g7ekWuL0BeFXb/l66ezMXeMJyXMNIDgc+m+QaVmxEx7JqPKIthns9cBnd/VhuLcT6N+B64Hy6eyhJWk+lm8IrSZKkQW2KyTltcdEVPcbRwDVV9dVVVdfKSDIN+OBIX/ebZH5Vbbrmqxo/o92PVXT8yaxkH5IkTTyOSJEkSVoNklxF900+J413LVqmPwE7JTl3VR+4fQ3yvwP3rOpjS5LGlyNSJEmSJpgkX2LJ1+4O+WJVfW2k9hNFkp1Z+ht8/lhVu41HPZIkrQ4GKZIkSZIkST05tUeSJEmSJKkngxRJkiRJkqSeDFIkSZIkSZJ6MkiRJEmSJEnqySBFkiRJkiSpp/8Prz9famjGAk4AAAAASUVORK5CYII=\n",
"text/plain": [
"<Figure size 1152x576 with 1 Axes>"
]
},
"metadata": {
"needs_background": "light"
},
"output_type": "display_data"
},
{
"data": {
"text/html": [
"<div>\n",
"<style scoped>\n",
" .dataframe tbody tr th:only-of-type {\n",
" vertical-align: middle;\n",
" }\n",
"\n",
" .dataframe tbody tr th {\n",
" vertical-align: top;\n",
" }\n",
"\n",
" .dataframe thead tr th {\n",
" text-align: left;\n",
" }\n",
"\n",
" .dataframe thead tr:last-of-type th {\n",
" text-align: right;\n",
" }\n",
"</style>\n",
"<table border=\"1\" class=\"dataframe\">\n",
" <thead>\n",
" <tr>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" <th colspan=\"9\" halign=\"left\">exoplayer_dropped_frames</th>\n",
" </tr>\n",
" <tr>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" <th>count</th>\n",
" <th>mean</th>\n",
" <th>std</th>\n",
" <th>min</th>\n",
" <th>50%</th>\n",
" <th>75%</th>\n",
" <th>95%</th>\n",
" <th>99%</th>\n",
" <th>max</th>\n",
" </tr>\n",
" <tr>\n",
" <th>test</th>\n",
" <th>tag</th>\n",
" <th>kernel</th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
" <th rowspan=\"6\" valign=\"top\">exoplayer</th>\n",
" <th rowspan=\"3\" valign=\"top\">mov_720p_30s</th>\n",
" <th>ab</th>\n",
" <td>20.0</td>\n",
" <td>0.0</td>\n",
" <td>0.0</td>\n",
" <td>0.0</td>\n",
" <td>0.0</td>\n",
" <td>0.0</td>\n",
" <td>0.0</td>\n",
" <td>0.0</td>\n",
" <td>0.0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>base</th>\n",
" <td>20.0</td>\n",
" <td>0.0</td>\n",
" <td>0.0</td>\n",
" <td>0.0</td>\n",
" <td>0.0</td>\n",
" <td>0.0</td>\n",
" <td>0.0</td>\n",
" <td>0.0</td>\n",
" <td>0.0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>revert</th>\n",
" <td>20.0</td>\n",
" <td>0.0</td>\n",
" <td>0.0</td>\n",
" <td>0.0</td>\n",
" <td>0.0</td>\n",
" <td>0.0</td>\n",
" <td>0.0</td>\n",
" <td>0.0</td>\n",
" <td>0.0</td>\n",
" </tr>\n",
" <tr>\n",
" <th rowspan=\"3\" valign=\"top\">ogg_128kbps_30s</th>\n",
" <th>ab</th>\n",
" <td>20.0</td>\n",
" <td>0.0</td>\n",
" <td>0.0</td>\n",
" <td>0.0</td>\n",
" <td>0.0</td>\n",
" <td>0.0</td>\n",
" <td>0.0</td>\n",
" <td>0.0</td>\n",
" <td>0.0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>base</th>\n",
" <td>20.0</td>\n",
" <td>0.0</td>\n",
" <td>0.0</td>\n",
" <td>0.0</td>\n",
" <td>0.0</td>\n",
" <td>0.0</td>\n",
" <td>0.0</td>\n",
" <td>0.0</td>\n",
" <td>0.0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>revert</th>\n",
" <td>20.0</td>\n",
" <td>0.0</td>\n",
" <td>0.0</td>\n",
" <td>0.0</td>\n",
" <td>0.0</td>\n",
" <td>0.0</td>\n",
" <td>0.0</td>\n",
" <td>0.0</td>\n",
" <td>0.0</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"</div>"
],
"text/plain": [
" exoplayer_dropped_frames \\\n",
" count mean std min 50% \n",
"test tag kernel \n",
"exoplayer mov_720p_30s ab 20.0 0.0 0.0 0.0 0.0 \n",
" base 20.0 0.0 0.0 0.0 0.0 \n",
" revert 20.0 0.0 0.0 0.0 0.0 \n",
" ogg_128kbps_30s ab 20.0 0.0 0.0 0.0 0.0 \n",
" base 20.0 0.0 0.0 0.0 0.0 \n",
" revert 20.0 0.0 0.0 0.0 0.0 \n",
"\n",
" \n",
" 75% 95% 99% max \n",
"test tag kernel \n",
"exoplayer mov_720p_30s ab 0.0 0.0 0.0 0.0 \n",
" base 0.0 0.0 0.0 0.0 \n",
" revert 0.0 0.0 0.0 0.0 \n",
" ogg_128kbps_30s ab 0.0 0.0 0.0 0.0 \n",
" base 0.0 0.0 0.0 0.0 \n",
" revert 0.0 0.0 0.0 0.0 "
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"for test in collector.tests(workload='exoplayer'):\n",
" logging.info(\"Results for: %s\", test)\n",
" collector.report(workload='exoplayer', metric='exoplayer_dropped_frames',\n",
" test=test, sort_on='99%', ascending=True)"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## Energy"
]
},
{
"cell_type": "code",
"execution_count": 10,
"metadata": {},
"outputs": [
{
"name": "stderr",
"output_type": "stream",
"text": [
"2019-07-25 10:46:46,197 INFO : root : Results for: exoplayer\n"
]
},
{
"data": {
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\n",
"text/plain": [
"<Figure size 1152x576 with 1 Axes>"
]
},
"metadata": {
"needs_background": "light"
},
"output_type": "display_data"
},
{
"data": {
"text/html": [
"<div>\n",
"<style scoped>\n",
" .dataframe tbody tr th:only-of-type {\n",
" vertical-align: middle;\n",
" }\n",
"\n",
" .dataframe tbody tr th {\n",
" vertical-align: top;\n",
" }\n",
"\n",
" .dataframe thead tr th {\n",
" text-align: left;\n",
" }\n",
"\n",
" .dataframe thead tr:last-of-type th {\n",
" text-align: right;\n",
" }\n",
"</style>\n",
"<table border=\"1\" class=\"dataframe\">\n",
" <thead>\n",
" <tr>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" <th colspan=\"9\" halign=\"left\">device_total_energy</th>\n",
" </tr>\n",
" <tr>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" <th>count</th>\n",
" <th>mean</th>\n",
" <th>std</th>\n",
" <th>min</th>\n",
" <th>50%</th>\n",
" <th>75%</th>\n",
" <th>95%</th>\n",
" <th>99%</th>\n",
" <th>max</th>\n",
" </tr>\n",
" <tr>\n",
" <th>test</th>\n",
" <th>tag</th>\n",
" <th>kernel</th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
" <th rowspan=\"6\" valign=\"top\">exoplayer</th>\n",
" <th rowspan=\"3\" valign=\"top\">ogg_128kbps_30s</th>\n",
" <th>ab</th>\n",
" <td>20.0</td>\n",
" <td>29.149367</td>\n",
" <td>0.355241</td>\n",
" <td>28.752333</td>\n",
" <td>29.052313</td>\n",
" <td>29.355386</td>\n",
" <td>29.775233</td>\n",
" <td>29.975917</td>\n",
" <td>30.026088</td>\n",
" </tr>\n",
" <tr>\n",
" <th>base</th>\n",
" <td>20.0</td>\n",
" <td>29.321901</td>\n",
" <td>0.278555</td>\n",
" <td>28.897535</td>\n",
" <td>29.235346</td>\n",
" <td>29.477506</td>\n",
" <td>29.746892</td>\n",
" <td>29.836758</td>\n",
" <td>29.859225</td>\n",
" </tr>\n",
" <tr>\n",
" <th>revert</th>\n",
" <td>20.0</td>\n",
" <td>29.473004</td>\n",
" <td>0.422388</td>\n",
" <td>29.023800</td>\n",
" <td>29.374010</td>\n",
" <td>29.624966</td>\n",
" <td>30.300002</td>\n",
" <td>30.484134</td>\n",
" <td>30.530168</td>\n",
" </tr>\n",
" <tr>\n",
" <th rowspan=\"3\" valign=\"top\">mov_720p_30s</th>\n",
" <th>ab</th>\n",
" <td>20.0</td>\n",
" <td>37.111766</td>\n",
" <td>1.056062</td>\n",
" <td>36.214110</td>\n",
" <td>36.700056</td>\n",
" <td>37.357569</td>\n",
" <td>38.306336</td>\n",
" <td>40.313893</td>\n",
" <td>40.815783</td>\n",
" </tr>\n",
" <tr>\n",
" <th>revert</th>\n",
" <td>20.0</td>\n",
" <td>37.545283</td>\n",
" <td>0.998633</td>\n",
" <td>36.722032</td>\n",
" <td>37.340677</td>\n",
" <td>37.656311</td>\n",
" <td>38.094972</td>\n",
" <td>40.830084</td>\n",
" <td>41.513863</td>\n",
" </tr>\n",
" <tr>\n",
" <th>base</th>\n",
" <td>20.0</td>\n",
" <td>37.661491</td>\n",
" <td>1.110812</td>\n",
" <td>36.560682</td>\n",
" <td>37.333684</td>\n",
" <td>37.867577</td>\n",
" <td>39.396973</td>\n",
" <td>41.138483</td>\n",
" <td>41.573860</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"</div>"
],
"text/plain": [
" device_total_energy \\\n",
" count mean std \n",
"test tag kernel \n",
"exoplayer ogg_128kbps_30s ab 20.0 29.149367 0.355241 \n",
" base 20.0 29.321901 0.278555 \n",
" revert 20.0 29.473004 0.422388 \n",
" mov_720p_30s ab 20.0 37.111766 1.056062 \n",
" revert 20.0 37.545283 0.998633 \n",
" base 20.0 37.661491 1.110812 \n",
"\n",
" \\\n",
" min 50% 75% 95% \n",
"test tag kernel \n",
"exoplayer ogg_128kbps_30s ab 28.752333 29.052313 29.355386 29.775233 \n",
" base 28.897535 29.235346 29.477506 29.746892 \n",
" revert 29.023800 29.374010 29.624966 30.300002 \n",
" mov_720p_30s ab 36.214110 36.700056 37.357569 38.306336 \n",
" revert 36.722032 37.340677 37.656311 38.094972 \n",
" base 36.560682 37.333684 37.867577 39.396973 \n",
"\n",
" \n",
" 99% max \n",
"test tag kernel \n",
"exoplayer ogg_128kbps_30s ab 29.975917 30.026088 \n",
" base 29.836758 29.859225 \n",
" revert 30.484134 30.530168 \n",
" mov_720p_30s ab 40.313893 40.815783 \n",
" revert 40.830084 41.513863 \n",
" base 41.138483 41.573860 "
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"for test in collector.tests(workload='exoplayer'):\n",
" logging.info(\"Results for: %s\", test)\n",
" collector.report(workload='exoplayer', metric='device_total_energy',\n",
" test=test, sort_on='mean', ascending=True)"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"# Homescreen"
]
},
{
"cell_type": "code",
"execution_count": 11,
"metadata": {},
"outputs": [
{
"name": "stderr",
"output_type": "stream",
"text": [
"2019-07-25 10:46:47,242 INFO : root : Results for: homescreen\n"
]
},
{
"data": {
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\n",
"text/plain": [
"<Figure size 1152x576 with 1 Axes>"
]
},
"metadata": {
"needs_background": "light"
},
"output_type": "display_data"
},
{
"data": {
"text/html": [
"<div>\n",
"<style scoped>\n",
" .dataframe tbody tr th:only-of-type {\n",
" vertical-align: middle;\n",
" }\n",
"\n",
" .dataframe tbody tr th {\n",
" vertical-align: top;\n",
" }\n",
"\n",
" .dataframe thead tr th {\n",
" text-align: left;\n",
" }\n",
"\n",
" .dataframe thead tr:last-of-type th {\n",
" text-align: right;\n",
" }\n",
"</style>\n",
"<table border=\"1\" class=\"dataframe\">\n",
" <thead>\n",
" <tr>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" <th colspan=\"9\" halign=\"left\">device_total_energy</th>\n",
" </tr>\n",
" <tr>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" <th>count</th>\n",
" <th>mean</th>\n",
" <th>std</th>\n",
" <th>min</th>\n",
" <th>50%</th>\n",
" <th>75%</th>\n",
" <th>95%</th>\n",
" <th>99%</th>\n",
" <th>max</th>\n",
" </tr>\n",
" <tr>\n",
" <th>test</th>\n",
" <th>tag</th>\n",
" <th>kernel</th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
" <th rowspan=\"3\" valign=\"top\">homescreen</th>\n",
" <th rowspan=\"3\" valign=\"top\">sit_15s</th>\n",
" <th>ab</th>\n",
" <td>20.0</td>\n",
" <td>18.002835</td>\n",
" <td>0.313340</td>\n",
" <td>17.586285</td>\n",
" <td>18.023998</td>\n",
" <td>18.197323</td>\n",
" <td>18.389324</td>\n",
" <td>18.708285</td>\n",
" <td>18.788025</td>\n",
" </tr>\n",
" <tr>\n",
" <th>revert</th>\n",
" <td>20.0</td>\n",
" <td>18.069940</td>\n",
" <td>0.238586</td>\n",
" <td>17.609307</td>\n",
" <td>18.118486</td>\n",
" <td>18.217771</td>\n",
" <td>18.291746</td>\n",
" <td>18.547429</td>\n",
" <td>18.611350</td>\n",
" </tr>\n",
" <tr>\n",
" <th>base</th>\n",
" <td>20.0</td>\n",
" <td>18.144357</td>\n",
" <td>0.619076</td>\n",
" <td>17.721248</td>\n",
" <td>17.995136</td>\n",
" <td>18.165901</td>\n",
" <td>18.486117</td>\n",
" <td>20.222561</td>\n",
" <td>20.656672</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"</div>"
],
"text/plain": [
" device_total_energy \\\n",
" count mean std min \n",
"test tag kernel \n",
"homescreen sit_15s ab 20.0 18.002835 0.313340 17.586285 \n",
" revert 20.0 18.069940 0.238586 17.609307 \n",
" base 20.0 18.144357 0.619076 17.721248 \n",
"\n",
" \\\n",
" 50% 75% 95% 99% \n",
"test tag kernel \n",
"homescreen sit_15s ab 18.023998 18.197323 18.389324 18.708285 \n",
" revert 18.118486 18.217771 18.291746 18.547429 \n",
" base 17.995136 18.165901 18.486117 20.222561 \n",
"\n",
" \n",
" max \n",
"test tag kernel \n",
"homescreen sit_15s ab 18.788025 \n",
" revert 18.611350 \n",
" base 20.656672 "
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"for test in collector.tests(workload='homescreen'):\n",
" logging.info(\"Results for: %s\", test)\n",
" collector.report(workload='homescreen', metric='device_total_energy',\n",
" test=test, sort_on='mean', ascending=True)"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"# Geekbench"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## Overall scores"
]
},
{
"cell_type": "code",
"execution_count": 12,
"metadata": {},
"outputs": [
{
"data": {
"image/png": 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\n",
"text/plain": [
"<Figure size 1152x576 with 1 Axes>"
]
},
"metadata": {
"needs_background": "light"
},
"output_type": "display_data"
},
{
"data": {
"text/html": [
"<div>\n",
"<style scoped>\n",
" .dataframe tbody tr th:only-of-type {\n",
" vertical-align: middle;\n",
" }\n",
"\n",
" .dataframe tbody tr th {\n",
" vertical-align: top;\n",
" }\n",
"\n",
" .dataframe thead tr th {\n",
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" }\n",
"\n",
" .dataframe thead tr:last-of-type th {\n",
" text-align: right;\n",
" }\n",
"</style>\n",
"<table border=\"1\" class=\"dataframe\">\n",
" <thead>\n",
" <tr>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" <th colspan=\"9\" halign=\"left\">Single-Core_score</th>\n",
" </tr>\n",
" <tr>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" <th>count</th>\n",
" <th>mean</th>\n",
" <th>std</th>\n",
" <th>min</th>\n",
" <th>50%</th>\n",
" <th>75%</th>\n",
" <th>95%</th>\n",
" <th>99%</th>\n",
" <th>max</th>\n",
" </tr>\n",
" <tr>\n",
" <th>test</th>\n",
" <th>tag</th>\n",
" <th>kernel</th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
" <th rowspan=\"3\" valign=\"top\">geekbench</th>\n",
" <th rowspan=\"3\" valign=\"top\">iter_30</th>\n",
" <th>revert</th>\n",
" <td>10.0</td>\n",
" <td>2386.1</td>\n",
" <td>8.225300</td>\n",
" <td>2370.0</td>\n",
" <td>2387.0</td>\n",
" <td>2390.00</td>\n",
" <td>2396.50</td>\n",
" <td>2400.10</td>\n",
" <td>2401.0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>ab</th>\n",
" <td>10.0</td>\n",
" <td>1817.6</td>\n",
" <td>603.391010</td>\n",
" <td>1240.0</td>\n",
" <td>1815.5</td>\n",
" <td>2390.75</td>\n",
" <td>2396.75</td>\n",
" <td>2398.55</td>\n",
" <td>2399.0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>base</th>\n",
" <td>10.0</td>\n",
" <td>2385.4</td>\n",
" <td>4.835057</td>\n",
" <td>2379.0</td>\n",
" <td>2383.5</td>\n",
" <td>2390.50</td>\n",
" <td>2391.55</td>\n",
" <td>2391.91</td>\n",
" <td>2392.0</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"</div>"
],
"text/plain": [
" Single-Core_score \\\n",
" count mean std min \n",
"test tag kernel \n",
"geekbench iter_30 revert 10.0 2386.1 8.225300 2370.0 \n",
" ab 10.0 1817.6 603.391010 1240.0 \n",
" base 10.0 2385.4 4.835057 2379.0 \n",
"\n",
" \n",
" 50% 75% 95% 99% max \n",
"test tag kernel \n",
"geekbench iter_30 revert 2387.0 2390.00 2396.50 2400.10 2401.0 \n",
" ab 1815.5 2390.75 2396.75 2398.55 2399.0 \n",
" base 2383.5 2390.50 2391.55 2391.91 2392.0 "
]
},
"metadata": {},
"output_type": "display_data"
},
{
"data": {
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\n",
"text/plain": [
"<Figure size 1152x576 with 1 Axes>"
]
},
"metadata": {
"needs_background": "light"
},
"output_type": "display_data"
},
{
"data": {
"text/html": [
"<div>\n",
"<style scoped>\n",
" .dataframe tbody tr th:only-of-type {\n",
" vertical-align: middle;\n",
" }\n",
"\n",
" .dataframe tbody tr th {\n",
" vertical-align: top;\n",
" }\n",
"\n",
" .dataframe thead tr th {\n",
" text-align: left;\n",
" }\n",
"\n",
" .dataframe thead tr:last-of-type th {\n",
" text-align: right;\n",
" }\n",
"</style>\n",
"<table border=\"1\" class=\"dataframe\">\n",
" <thead>\n",
" <tr>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" <th colspan=\"9\" halign=\"left\">Multi-Core_score</th>\n",
" </tr>\n",
" <tr>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" <th>count</th>\n",
" <th>mean</th>\n",
" <th>std</th>\n",
" <th>min</th>\n",
" <th>50%</th>\n",
" <th>75%</th>\n",
" <th>95%</th>\n",
" <th>99%</th>\n",
" <th>max</th>\n",
" </tr>\n",
" <tr>\n",
" <th>test</th>\n",
" <th>tag</th>\n",
" <th>kernel</th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
" <th rowspan=\"3\" valign=\"top\">geekbench</th>\n",
" <th rowspan=\"3\" valign=\"top\">iter_30</th>\n",
" <th>revert</th>\n",
" <td>10.0</td>\n",
" <td>8079.9</td>\n",
" <td>69.249067</td>\n",
" <td>7910.0</td>\n",
" <td>8097.0</td>\n",
" <td>8112.5</td>\n",
" <td>8151.50</td>\n",
" <td>8155.10</td>\n",
" <td>8156.0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>base</th>\n",
" <td>10.0</td>\n",
" <td>8061.4</td>\n",
" <td>53.975715</td>\n",
" <td>7983.0</td>\n",
" <td>8071.5</td>\n",
" <td>8101.0</td>\n",
" <td>8130.05</td>\n",
" <td>8141.21</td>\n",
" <td>8144.0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>ab</th>\n",
" <td>10.0</td>\n",
" <td>6841.8</td>\n",
" <td>1279.393502</td>\n",
" <td>5606.0</td>\n",
" <td>6838.0</td>\n",
" <td>8058.0</td>\n",
" <td>8074.25</td>\n",
" <td>8079.65</td>\n",
" <td>8081.0</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"</div>"
],
"text/plain": [
" Multi-Core_score \\\n",
" count mean std min \n",
"test tag kernel \n",
"geekbench iter_30 revert 10.0 8079.9 69.249067 7910.0 \n",
" base 10.0 8061.4 53.975715 7983.0 \n",
" ab 10.0 6841.8 1279.393502 5606.0 \n",
"\n",
" \n",
" 50% 75% 95% 99% max \n",
"test tag kernel \n",
"geekbench iter_30 revert 8097.0 8112.5 8151.50 8155.10 8156.0 \n",
" base 8071.5 8101.0 8130.05 8141.21 8144.0 \n",
" ab 6838.0 8058.0 8074.25 8079.65 8081.0 "
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"for metric in [ 'Single-Core_score', 'Multi-Core_score']:\n",
" collector.report(workload='geekbench', metric=metric,\n",
" sort_on='99%', ascending=False)"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## Detailed scores"
]
},
{
"cell_type": "code",
"execution_count": 13,
"metadata": {},
"outputs": [],
"source": [
"# Get Geekbench scores\n",
"df = collector.results_df\n",
"gb_scores_db = df[df.test == 'geekbench']\n",
"\n",
"# Group scores\n",
"grouped_df = gb_scores_db.groupby(['test', 'kernel', 'metric'])\n",
"\n",
"# Get stats for grouped scores\n",
"stats_df = pd.DataFrame(grouped_df.value.describe(percentiles=[.95, .99])).reset_index()\n",
"#stats_df = stats_df.reset_index().rename(columns={'level_4': 'stats'})"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"### Single Core Scores"
]
},
{
"cell_type": "code",
"execution_count": 14,
"metadata": {
"scrolled": false
},
"outputs": [
{
"name": "stderr",
"output_type": "stream",
"text": [
"2019-07-25 10:47:23,937 WARNING : py.warnings : /data/work/lisa/.lisa-venv-3.5/lib/python3.5/site-packages/pandas/core/indexing.py:543: SettingWithCopyWarning: \n",
"A value is trying to be set on a copy of a slice from a DataFrame.\n",
"Try using .loc[row_indexer,col_indexer] = value instead\n",
"\n",
"See the caveats in the documentation: http://pandas.pydata.org/pandas-docs/stable/indexing.html#indexing-view-versus-copy\n",
" self.obj[item] = s\n",
"\n",
"2019-07-25 10:47:23,945 INFO : root : Detailed SINGLE core scores:\n"
]
},
{
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" <td>1119.8</td>\n",
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" <td>1252.0</td>\n",
" <td>2048.5</td>\n",
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" <td>1178.0</td>\n",
" <td>1722.5</td>\n",
" <td>2308.65</td>\n",
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" <td>10.0</td>\n",
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" <td>1426.0</td>\n",
" <td>1994.0</td>\n",
" <td>2653.90</td>\n",
" <td>2660.38</td>\n",
" <td>2662.0</td>\n",
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" <td>10.0</td>\n",
" <td>1932.3</td>\n",
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" <td>1119.0</td>\n",
" <td>1849.5</td>\n",
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" <td>881.0</td>\n",
" <td>1407.5</td>\n",
" <td>1961.10</td>\n",
" <td>1969.02</td>\n",
" <td>1971.0</td>\n",
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" <td>10.0</td>\n",
" <td>2303.6</td>\n",
" <td>918.991017</td>\n",
" <td>1426.0</td>\n",
" <td>2300.0</td>\n",
" <td>3184.00</td>\n",
" <td>3184.00</td>\n",
" <td>3184.0</td>\n",
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" <th>HTML5-DOM</th>\n",
" <td>10.0</td>\n",
" <td>2429.6</td>\n",
" <td>935.226556</td>\n",
" <td>1535.0</td>\n",
" <td>2424.5</td>\n",
" <td>3325.20</td>\n",
" <td>3326.64</td>\n",
" <td>3327.0</td>\n",
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" <th>HTML5-Parse</th>\n",
" <td>10.0</td>\n",
" <td>2054.6</td>\n",
" <td>812.671343</td>\n",
" <td>1273.0</td>\n",
" <td>2040.5</td>\n",
" <td>2843.65</td>\n",
" <td>2844.73</td>\n",
" <td>2845.0</td>\n",
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" <tr>\n",
" <th>Histogram-Equalization</th>\n",
" <td>10.0</td>\n",
" <td>1267.6</td>\n",
" <td>499.051589</td>\n",
" <td>793.0</td>\n",
" <td>1263.5</td>\n",
" <td>1751.75</td>\n",
" <td>1753.55</td>\n",
" <td>1754.0</td>\n",
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" <tr>\n",
" <th>JPEG</th>\n",
" <td>10.0</td>\n",
" <td>1978.5</td>\n",
" <td>782.106024</td>\n",
" <td>1228.0</td>\n",
" <td>1975.0</td>\n",
" <td>2733.50</td>\n",
" <td>2737.10</td>\n",
" <td>2738.0</td>\n",
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" <th>LLVM</th>\n",
" <td>10.0</td>\n",
" <td>3690.6</td>\n",
" <td>1538.996946</td>\n",
" <td>2209.0</td>\n",
" <td>3679.5</td>\n",
" <td>5174.40</td>\n",
" <td>5184.48</td>\n",
" <td>5187.0</td>\n",
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" <th>LZMA</th>\n",
" <td>10.0</td>\n",
" <td>1812.6</td>\n",
" <td>821.172360</td>\n",
" <td>958.0</td>\n",
" <td>1845.5</td>\n",
" <td>2603.50</td>\n",
" <td>2607.10</td>\n",
" <td>2608.0</td>\n",
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" <td>10.0</td>\n",
" <td>1552.5</td>\n",
" <td>617.289820</td>\n",
" <td>962.0</td>\n",
" <td>1547.0</td>\n",
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" <td>2161.56</td>\n",
" <td>2163.0</td>\n",
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" <tr>\n",
" <th>Memory-Bandwidth</th>\n",
" <td>10.0</td>\n",
" <td>2830.3</td>\n",
" <td>285.080515</td>\n",
" <td>2526.0</td>\n",
" <td>2812.0</td>\n",
" <td>3141.00</td>\n",
" <td>3141.00</td>\n",
" <td>3141.0</td>\n",
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" <tr>\n",
" <th>Memory-Copy</th>\n",
" <td>10.0</td>\n",
" <td>1821.2</td>\n",
" <td>148.165673</td>\n",
" <td>1676.0</td>\n",
" <td>1816.0</td>\n",
" <td>1970.00</td>\n",
" <td>1970.00</td>\n",
" <td>1970.0</td>\n",
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" <th>Memory-Latency</th>\n",
" <td>10.0</td>\n",
" <td>1967.1</td>\n",
" <td>546.771626</td>\n",
" <td>1444.0</td>\n",
" <td>1964.0</td>\n",
" <td>2489.55</td>\n",
" <td>2489.91</td>\n",
" <td>2490.0</td>\n",
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" <tr>\n",
" <th>N-Body-Physics</th>\n",
" <td>10.0</td>\n",
" <td>1402.3</td>\n",
" <td>548.297375</td>\n",
" <td>877.0</td>\n",
" <td>1397.0</td>\n",
" <td>1931.30</td>\n",
" <td>1933.46</td>\n",
" <td>1934.0</td>\n",
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" <tr>\n",
" <th>PDF-Rendering</th>\n",
" <td>10.0</td>\n",
" <td>1860.8</td>\n",
" <td>706.108396</td>\n",
" <td>1185.0</td>\n",
" <td>1856.5</td>\n",
" <td>2546.35</td>\n",
" <td>2552.47</td>\n",
" <td>2554.0</td>\n",
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" <tr>\n",
" <th>Ray-Tracing</th>\n",
" <td>10.0</td>\n",
" <td>1756.6</td>\n",
" <td>691.772474</td>\n",
" <td>1093.0</td>\n",
" <td>1747.0</td>\n",
" <td>2424.75</td>\n",
" <td>2426.55</td>\n",
" <td>2427.0</td>\n",
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" <tr>\n",
" <th>Rigid-Body-Physics</th>\n",
" <td>10.0</td>\n",
" <td>2180.5</td>\n",
" <td>857.955354</td>\n",
" <td>1364.0</td>\n",
" <td>2174.0</td>\n",
" <td>3002.10</td>\n",
" <td>3002.82</td>\n",
" <td>3003.0</td>\n",
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" <tr>\n",
" <th>SFFT</th>\n",
" <td>10.0</td>\n",
" <td>1239.0</td>\n",
" <td>462.972041</td>\n",
" <td>797.0</td>\n",
" <td>1238.5</td>\n",
" <td>1682.75</td>\n",
" <td>1684.55</td>\n",
" <td>1685.0</td>\n",
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" <tr>\n",
" <th>SGEMM</th>\n",
" <td>10.0</td>\n",
" <td>569.8</td>\n",
" <td>216.769104</td>\n",
" <td>364.0</td>\n",
" <td>564.5</td>\n",
" <td>780.55</td>\n",
" <td>780.91</td>\n",
" <td>781.0</td>\n",
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" <tr>\n",
" <th>SQLite</th>\n",
" <td>10.0</td>\n",
" <td>1882.1</td>\n",
" <td>752.644294</td>\n",
" <td>1163.0</td>\n",
" <td>1874.5</td>\n",
" <td>2616.95</td>\n",
" <td>2620.19</td>\n",
" <td>2621.0</td>\n",
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" <th>Speech-Recognition</th>\n",
" <td>10.0</td>\n",
" <td>1568.3</td>\n",
" <td>520.764406</td>\n",
" <td>1056.0</td>\n",
" <td>1563.0</td>\n",
" <td>2075.20</td>\n",
" <td>2076.64</td>\n",
" <td>2077.0</td>\n",
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" <tr>\n",
" <th>score</th>\n",
" <td>10.0</td>\n",
" <td>1817.6</td>\n",
" <td>603.391010</td>\n",
" <td>1240.0</td>\n",
" <td>1815.5</td>\n",
" <td>2396.75</td>\n",
" <td>2398.55</td>\n",
" <td>2399.0</td>\n",
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" <tr>\n",
" <th rowspan=\"9\" valign=\"top\">base</th>\n",
" <th rowspan=\"9\" valign=\"top\">geekbench</th>\n",
" <th>AES</th>\n",
" <td>10.0</td>\n",
" <td>1530.6</td>\n",
" <td>8.262364</td>\n",
" <td>1515.0</td>\n",
" <td>1531.0</td>\n",
" <td>1541.50</td>\n",
" <td>1545.10</td>\n",
" <td>1546.0</td>\n",
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" <tr>\n",
" <th>Camera</th>\n",
" <td>10.0</td>\n",
" <td>2811.4</td>\n",
" <td>15.064307</td>\n",
" <td>2779.0</td>\n",
" <td>2817.5</td>\n",
" <td>2825.00</td>\n",
" <td>2825.00</td>\n",
" <td>2825.0</td>\n",
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" <tr>\n",
" <th>Canny</th>\n",
" <td>10.0</td>\n",
" <td>2298.8</td>\n",
" <td>9.681598</td>\n",
" <td>2286.0</td>\n",
" <td>2300.0</td>\n",
" <td>2312.20</td>\n",
" <td>2313.64</td>\n",
" <td>2314.0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>Dijkstra</th>\n",
" <td>10.0</td>\n",
" <td>2519.8</td>\n",
" <td>28.966647</td>\n",
" <td>2477.0</td>\n",
" <td>2513.0</td>\n",
" <td>2568.65</td>\n",
" <td>2576.93</td>\n",
" <td>2579.0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>...</th>\n",
" <td>...</td>\n",
" <td>...</td>\n",
" <td>...</td>\n",
" <td>...</td>\n",
" <td>...</td>\n",
" <td>...</td>\n",
" <td>...</td>\n",
" <td>...</td>\n",
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" <tr>\n",
" <th>SGEMM</th>\n",
" <td>10.0</td>\n",
" <td>777.1</td>\n",
" <td>5.087021</td>\n",
" <td>766.0</td>\n",
" <td>777.0</td>\n",
" <td>782.00</td>\n",
" <td>782.00</td>\n",
" <td>782.0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>SQLite</th>\n",
" <td>10.0</td>\n",
" <td>2607.9</td>\n",
" <td>16.100035</td>\n",
" <td>2581.0</td>\n",
" <td>2608.5</td>\n",
" <td>2627.65</td>\n",
" <td>2628.73</td>\n",
" <td>2629.0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>Speech-Recognition</th>\n",
" <td>10.0</td>\n",
" <td>2071.9</td>\n",
" <td>15.095621</td>\n",
" <td>2051.0</td>\n",
" <td>2071.5</td>\n",
" <td>2095.10</td>\n",
" <td>2095.82</td>\n",
" <td>2096.0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>score</th>\n",
" <td>10.0</td>\n",
" <td>2385.4</td>\n",
" <td>4.835057</td>\n",
" <td>2379.0</td>\n",
" <td>2383.5</td>\n",
" <td>2391.55</td>\n",
" <td>2391.91</td>\n",
" <td>2392.0</td>\n",
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" <tr>\n",
" <th rowspan=\"26\" valign=\"top\">revert</th>\n",
" <th rowspan=\"26\" valign=\"top\">geekbench</th>\n",
" <th>AES</th>\n",
" <td>10.0</td>\n",
" <td>1528.7</td>\n",
" <td>14.329845</td>\n",
" <td>1501.0</td>\n",
" <td>1534.5</td>\n",
" <td>1542.20</td>\n",
" <td>1543.64</td>\n",
" <td>1544.0</td>\n",
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" <tr>\n",
" <th>Camera</th>\n",
" <td>10.0</td>\n",
" <td>2813.3</td>\n",
" <td>15.304683</td>\n",
" <td>2788.0</td>\n",
" <td>2818.5</td>\n",
" <td>2828.55</td>\n",
" <td>2828.91</td>\n",
" <td>2829.0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>Canny</th>\n",
" <td>10.0</td>\n",
" <td>2304.7</td>\n",
" <td>13.597794</td>\n",
" <td>2281.0</td>\n",
" <td>2306.0</td>\n",
" <td>2319.10</td>\n",
" <td>2319.82</td>\n",
" <td>2320.0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>Dijkstra</th>\n",
" <td>10.0</td>\n",
" <td>2536.9</td>\n",
" <td>38.050989</td>\n",
" <td>2493.0</td>\n",
" <td>2523.5</td>\n",
" <td>2592.10</td>\n",
" <td>2592.82</td>\n",
" <td>2593.0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>Face-Detection</th>\n",
" <td>10.0</td>\n",
" <td>2581.4</td>\n",
" <td>95.959714</td>\n",
" <td>2455.0</td>\n",
" <td>2625.0</td>\n",
" <td>2693.75</td>\n",
" <td>2717.15</td>\n",
" <td>2723.0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>Gaussian-Blur</th>\n",
" <td>10.0</td>\n",
" <td>1950.0</td>\n",
" <td>14.251706</td>\n",
" <td>1918.0</td>\n",
" <td>1953.5</td>\n",
" <td>1964.75</td>\n",
" <td>1966.55</td>\n",
" <td>1967.0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>HDR</th>\n",
" <td>10.0</td>\n",
" <td>3173.9</td>\n",
" <td>11.130039</td>\n",
" <td>3151.0</td>\n",
" <td>3177.0</td>\n",
" <td>3183.75</td>\n",
" <td>3185.55</td>\n",
" <td>3186.0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>HTML5-DOM</th>\n",
" <td>10.0</td>\n",
" <td>3310.2</td>\n",
" <td>15.497670</td>\n",
" <td>3280.0</td>\n",
" <td>3313.5</td>\n",
" <td>3329.60</td>\n",
" <td>3333.92</td>\n",
" <td>3335.0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>HTML5-Parse</th>\n",
" <td>10.0</td>\n",
" <td>2828.1</td>\n",
" <td>8.556349</td>\n",
" <td>2812.0</td>\n",
" <td>2828.0</td>\n",
" <td>2839.20</td>\n",
" <td>2840.64</td>\n",
" <td>2841.0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>Histogram-Equalization</th>\n",
" <td>10.0</td>\n",
" <td>1747.2</td>\n",
" <td>11.292082</td>\n",
" <td>1726.0</td>\n",
" <td>1752.5</td>\n",
" <td>1755.00</td>\n",
" <td>1755.00</td>\n",
" <td>1755.0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>JPEG</th>\n",
" <td>10.0</td>\n",
" <td>2730.7</td>\n",
" <td>18.750111</td>\n",
" <td>2708.0</td>\n",
" <td>2727.5</td>\n",
" <td>2753.10</td>\n",
" <td>2753.82</td>\n",
" <td>2754.0</td>\n",
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" <tr>\n",
" <th>LLVM</th>\n",
" <td>10.0</td>\n",
" <td>5132.6</td>\n",
" <td>43.937329</td>\n",
" <td>5050.0</td>\n",
" <td>5140.0</td>\n",
" <td>5182.20</td>\n",
" <td>5183.64</td>\n",
" <td>5184.0</td>\n",
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" <tr>\n",
" <th>LZMA</th>\n",
" <td>10.0</td>\n",
" <td>2594.6</td>\n",
" <td>21.240423</td>\n",
" <td>2553.0</td>\n",
" <td>2594.5</td>\n",
" <td>2623.55</td>\n",
" <td>2623.91</td>\n",
" <td>2624.0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>Lua</th>\n",
" <td>10.0</td>\n",
" <td>2137.6</td>\n",
" <td>24.180800</td>\n",
" <td>2079.0</td>\n",
" <td>2138.5</td>\n",
" <td>2161.30</td>\n",
" <td>2163.46</td>\n",
" <td>2164.0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>Memory-Bandwidth</th>\n",
" <td>10.0</td>\n",
" <td>3060.9</td>\n",
" <td>142.766671</td>\n",
" <td>2715.0</td>\n",
" <td>3075.5</td>\n",
" <td>3210.30</td>\n",
" <td>3219.66</td>\n",
" <td>3222.0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>Memory-Copy</th>\n",
" <td>10.0</td>\n",
" <td>1965.9</td>\n",
" <td>8.621034</td>\n",
" <td>1948.0</td>\n",
" <td>1968.0</td>\n",
" <td>1976.10</td>\n",
" <td>1976.82</td>\n",
" <td>1977.0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>Memory-Latency</th>\n",
" <td>10.0</td>\n",
" <td>2485.8</td>\n",
" <td>3.521363</td>\n",
" <td>2479.0</td>\n",
" <td>2487.0</td>\n",
" <td>2489.00</td>\n",
" <td>2489.00</td>\n",
" <td>2489.0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>N-Body-Physics</th>\n",
" <td>10.0</td>\n",
" <td>1934.8</td>\n",
" <td>8.715248</td>\n",
" <td>1921.0</td>\n",
" <td>1934.0</td>\n",
" <td>1947.95</td>\n",
" <td>1951.19</td>\n",
" <td>1952.0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>PDF-Rendering</th>\n",
" <td>10.0</td>\n",
" <td>2539.6</td>\n",
" <td>15.269432</td>\n",
" <td>2512.0</td>\n",
" <td>2537.5</td>\n",
" <td>2560.55</td>\n",
" <td>2568.11</td>\n",
" <td>2570.0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>Ray-Tracing</th>\n",
" <td>10.0</td>\n",
" <td>2411.6</td>\n",
" <td>14.423746</td>\n",
" <td>2381.0</td>\n",
" <td>2413.5</td>\n",
" <td>2426.00</td>\n",
" <td>2426.00</td>\n",
" <td>2426.0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>Rigid-Body-Physics</th>\n",
" <td>10.0</td>\n",
" <td>2986.0</td>\n",
" <td>17.701224</td>\n",
" <td>2954.0</td>\n",
" <td>2995.5</td>\n",
" <td>3002.10</td>\n",
" <td>3002.82</td>\n",
" <td>3003.0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>SFFT</th>\n",
" <td>10.0</td>\n",
" <td>1673.2</td>\n",
" <td>7.583608</td>\n",
" <td>1661.0</td>\n",
" <td>1672.5</td>\n",
" <td>1683.65</td>\n",
" <td>1684.73</td>\n",
" <td>1685.0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>SGEMM</th>\n",
" <td>10.0</td>\n",
" <td>779.0</td>\n",
" <td>3.431877</td>\n",
" <td>774.0</td>\n",
" <td>778.5</td>\n",
" <td>783.00</td>\n",
" <td>783.00</td>\n",
" <td>783.0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>SQLite</th>\n",
" <td>10.0</td>\n",
" <td>2602.5</td>\n",
" <td>17.865236</td>\n",
" <td>2578.0</td>\n",
" <td>2600.0</td>\n",
" <td>2627.35</td>\n",
" <td>2633.47</td>\n",
" <td>2635.0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>Speech-Recognition</th>\n",
" <td>10.0</td>\n",
" <td>2076.4</td>\n",
" <td>20.271491</td>\n",
" <td>2048.0</td>\n",
" <td>2076.0</td>\n",
" <td>2100.10</td>\n",
" <td>2100.82</td>\n",
" <td>2101.0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>score</th>\n",
" <td>10.0</td>\n",
" <td>2386.1</td>\n",
" <td>8.225300</td>\n",
" <td>2370.0</td>\n",
" <td>2387.0</td>\n",
" <td>2396.50</td>\n",
" <td>2400.10</td>\n",
" <td>2401.0</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"<p>78 rows × 8 columns</p>\n",
"</div>"
],
"text/plain": [
" count mean std min \\\n",
"kernel test metric \n",
"ab geekbench AES 10.0 1119.8 438.515627 703.0 \n",
" Camera 10.0 2044.8 812.856664 1252.0 \n",
" Canny 10.0 1736.9 586.751973 1178.0 \n",
" Dijkstra 10.0 2017.8 594.562360 1426.0 \n",
" Face-Detection 10.0 1932.3 803.188652 1119.0 \n",
" Gaussian-Blur 10.0 1415.2 557.758171 881.0 \n",
" HDR 10.0 2303.6 918.991017 1426.0 \n",
" HTML5-DOM 10.0 2429.6 935.226556 1535.0 \n",
" HTML5-Parse 10.0 2054.6 812.671343 1273.0 \n",
" Histogram-Equalization 10.0 1267.6 499.051589 793.0 \n",
" JPEG 10.0 1978.5 782.106024 1228.0 \n",
" LLVM 10.0 3690.6 1538.996946 2209.0 \n",
" LZMA 10.0 1812.6 821.172360 958.0 \n",
" Lua 10.0 1552.5 617.289820 962.0 \n",
" Memory-Bandwidth 10.0 2830.3 285.080515 2526.0 \n",
" Memory-Copy 10.0 1821.2 148.165673 1676.0 \n",
" Memory-Latency 10.0 1967.1 546.771626 1444.0 \n",
" N-Body-Physics 10.0 1402.3 548.297375 877.0 \n",
" PDF-Rendering 10.0 1860.8 706.108396 1185.0 \n",
" Ray-Tracing 10.0 1756.6 691.772474 1093.0 \n",
" Rigid-Body-Physics 10.0 2180.5 857.955354 1364.0 \n",
" SFFT 10.0 1239.0 462.972041 797.0 \n",
" SGEMM 10.0 569.8 216.769104 364.0 \n",
" SQLite 10.0 1882.1 752.644294 1163.0 \n",
" Speech-Recognition 10.0 1568.3 520.764406 1056.0 \n",
" score 10.0 1817.6 603.391010 1240.0 \n",
"base geekbench AES 10.0 1530.6 8.262364 1515.0 \n",
" Camera 10.0 2811.4 15.064307 2779.0 \n",
" Canny 10.0 2298.8 9.681598 2286.0 \n",
" Dijkstra 10.0 2519.8 28.966647 2477.0 \n",
"... ... ... ... ... \n",
" SGEMM 10.0 777.1 5.087021 766.0 \n",
" SQLite 10.0 2607.9 16.100035 2581.0 \n",
" Speech-Recognition 10.0 2071.9 15.095621 2051.0 \n",
" score 10.0 2385.4 4.835057 2379.0 \n",
"revert geekbench AES 10.0 1528.7 14.329845 1501.0 \n",
" Camera 10.0 2813.3 15.304683 2788.0 \n",
" Canny 10.0 2304.7 13.597794 2281.0 \n",
" Dijkstra 10.0 2536.9 38.050989 2493.0 \n",
" Face-Detection 10.0 2581.4 95.959714 2455.0 \n",
" Gaussian-Blur 10.0 1950.0 14.251706 1918.0 \n",
" HDR 10.0 3173.9 11.130039 3151.0 \n",
" HTML5-DOM 10.0 3310.2 15.497670 3280.0 \n",
" HTML5-Parse 10.0 2828.1 8.556349 2812.0 \n",
" Histogram-Equalization 10.0 1747.2 11.292082 1726.0 \n",
" JPEG 10.0 2730.7 18.750111 2708.0 \n",
" LLVM 10.0 5132.6 43.937329 5050.0 \n",
" LZMA 10.0 2594.6 21.240423 2553.0 \n",
" Lua 10.0 2137.6 24.180800 2079.0 \n",
" Memory-Bandwidth 10.0 3060.9 142.766671 2715.0 \n",
" Memory-Copy 10.0 1965.9 8.621034 1948.0 \n",
" Memory-Latency 10.0 2485.8 3.521363 2479.0 \n",
" N-Body-Physics 10.0 1934.8 8.715248 1921.0 \n",
" PDF-Rendering 10.0 2539.6 15.269432 2512.0 \n",
" Ray-Tracing 10.0 2411.6 14.423746 2381.0 \n",
" Rigid-Body-Physics 10.0 2986.0 17.701224 2954.0 \n",
" SFFT 10.0 1673.2 7.583608 1661.0 \n",
" SGEMM 10.0 779.0 3.431877 774.0 \n",
" SQLite 10.0 2602.5 17.865236 2578.0 \n",
" Speech-Recognition 10.0 2076.4 20.271491 2048.0 \n",
" score 10.0 2386.1 8.225300 2370.0 \n",
"\n",
" 50% 95% 99% max \n",
"kernel test metric \n",
"ab geekbench AES 1117.5 1540.75 1542.55 1543.0 \n",
" Camera 2048.5 2824.00 2824.00 2824.0 \n",
" Canny 1722.5 2308.65 2309.73 2310.0 \n",
" Dijkstra 1994.0 2653.90 2660.38 2662.0 \n",
" Face-Detection 1849.5 2844.85 2847.37 2848.0 \n",
" Gaussian-Blur 1407.5 1961.10 1969.02 1971.0 \n",
" HDR 2300.0 3184.00 3184.00 3184.0 \n",
" HTML5-DOM 2424.5 3325.20 3326.64 3327.0 \n",
" HTML5-Parse 2040.5 2843.65 2844.73 2845.0 \n",
" Histogram-Equalization 1263.5 1751.75 1753.55 1754.0 \n",
" JPEG 1975.0 2733.50 2737.10 2738.0 \n",
" LLVM 3679.5 5174.40 5184.48 5187.0 \n",
" LZMA 1845.5 2603.50 2607.10 2608.0 \n",
" Lua 1547.0 2155.80 2161.56 2163.0 \n",
" Memory-Bandwidth 2812.0 3141.00 3141.00 3141.0 \n",
" Memory-Copy 1816.0 1970.00 1970.00 1970.0 \n",
" Memory-Latency 1964.0 2489.55 2489.91 2490.0 \n",
" N-Body-Physics 1397.0 1931.30 1933.46 1934.0 \n",
" PDF-Rendering 1856.5 2546.35 2552.47 2554.0 \n",
" Ray-Tracing 1747.0 2424.75 2426.55 2427.0 \n",
" Rigid-Body-Physics 2174.0 3002.10 3002.82 3003.0 \n",
" SFFT 1238.5 1682.75 1684.55 1685.0 \n",
" SGEMM 564.5 780.55 780.91 781.0 \n",
" SQLite 1874.5 2616.95 2620.19 2621.0 \n",
" Speech-Recognition 1563.0 2075.20 2076.64 2077.0 \n",
" score 1815.5 2396.75 2398.55 2399.0 \n",
"base geekbench AES 1531.0 1541.50 1545.10 1546.0 \n",
" Camera 2817.5 2825.00 2825.00 2825.0 \n",
" Canny 2300.0 2312.20 2313.64 2314.0 \n",
" Dijkstra 2513.0 2568.65 2576.93 2579.0 \n",
"... ... ... ... ... \n",
" SGEMM 777.0 782.00 782.00 782.0 \n",
" SQLite 2608.5 2627.65 2628.73 2629.0 \n",
" Speech-Recognition 2071.5 2095.10 2095.82 2096.0 \n",
" score 2383.5 2391.55 2391.91 2392.0 \n",
"revert geekbench AES 1534.5 1542.20 1543.64 1544.0 \n",
" Camera 2818.5 2828.55 2828.91 2829.0 \n",
" Canny 2306.0 2319.10 2319.82 2320.0 \n",
" Dijkstra 2523.5 2592.10 2592.82 2593.0 \n",
" Face-Detection 2625.0 2693.75 2717.15 2723.0 \n",
" Gaussian-Blur 1953.5 1964.75 1966.55 1967.0 \n",
" HDR 3177.0 3183.75 3185.55 3186.0 \n",
" HTML5-DOM 3313.5 3329.60 3333.92 3335.0 \n",
" HTML5-Parse 2828.0 2839.20 2840.64 2841.0 \n",
" Histogram-Equalization 1752.5 1755.00 1755.00 1755.0 \n",
" JPEG 2727.5 2753.10 2753.82 2754.0 \n",
" LLVM 5140.0 5182.20 5183.64 5184.0 \n",
" LZMA 2594.5 2623.55 2623.91 2624.0 \n",
" Lua 2138.5 2161.30 2163.46 2164.0 \n",
" Memory-Bandwidth 3075.5 3210.30 3219.66 3222.0 \n",
" Memory-Copy 1968.0 1976.10 1976.82 1977.0 \n",
" Memory-Latency 2487.0 2489.00 2489.00 2489.0 \n",
" N-Body-Physics 1934.0 1947.95 1951.19 1952.0 \n",
" PDF-Rendering 2537.5 2560.55 2568.11 2570.0 \n",
" Ray-Tracing 2413.5 2426.00 2426.00 2426.0 \n",
" Rigid-Body-Physics 2995.5 3002.10 3002.82 3003.0 \n",
" SFFT 1672.5 1683.65 1684.73 1685.0 \n",
" SGEMM 778.5 783.00 783.00 783.0 \n",
" SQLite 2600.0 2627.35 2633.47 2635.0 \n",
" Speech-Recognition 2076.0 2100.10 2100.82 2101.0 \n",
" score 2387.0 2396.50 2400.10 2401.0 \n",
"\n",
"[78 rows x 8 columns]"
]
},
"execution_count": 14,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"single_score_df = stats_df[stats_df.metric.str.match(\"Single.*\")]\n",
"single_score_df.loc[:, \"metric\"] = single_score_df.metric.apply(lambda s : s.replace('Single-Core_', '').replace('_score', ''))\n",
"single_score_df = single_score_df.set_index(['kernel', 'test', 'metric'])\n",
"logging.info(\"Detailed SINGLE core scores:\")\n",
"single_score_df"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"### Multi Core Scores"
]
},
{
"cell_type": "code",
"execution_count": 15,
"metadata": {},
"outputs": [
{
"name": "stderr",
"output_type": "stream",
"text": [
"2019-07-25 10:47:24,049 INFO : root : Detailed MULTI core scores:\n"
]
},
{
"data": {
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"<table border=\"1\" class=\"dataframe\">\n",
" <thead>\n",
" <tr style=\"text-align: right;\">\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" <th>count</th>\n",
" <th>mean</th>\n",
" <th>std</th>\n",
" <th>min</th>\n",
" <th>50%</th>\n",
" <th>95%</th>\n",
" <th>99%</th>\n",
" <th>max</th>\n",
" </tr>\n",
" <tr>\n",
" <th>kernel</th>\n",
" <th>test</th>\n",
" <th>metric</th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
" <th rowspan=\"26\" valign=\"top\">ab</th>\n",
" <th rowspan=\"26\" valign=\"top\">geekbench</th>\n",
" <th>AES</th>\n",
" <td>10.0</td>\n",
" <td>4735.4</td>\n",
" <td>314.679096</td>\n",
" <td>4502.0</td>\n",
" <td>4573.0</td>\n",
" <td>5290.65</td>\n",
" <td>5298.93</td>\n",
" <td>5301.0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>Camera</th>\n",
" <td>10.0</td>\n",
" <td>9754.2</td>\n",
" <td>2238.844285</td>\n",
" <td>7344.0</td>\n",
" <td>9192.0</td>\n",
" <td>12367.30</td>\n",
" <td>12376.66</td>\n",
" <td>12379.0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>Canny</th>\n",
" <td>10.0</td>\n",
" <td>8741.7</td>\n",
" <td>1398.907117</td>\n",
" <td>7387.0</td>\n",
" <td>8715.5</td>\n",
" <td>10109.75</td>\n",
" <td>10118.75</td>\n",
" <td>10121.0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>Dijkstra</th>\n",
" <td>10.0</td>\n",
" <td>9518.1</td>\n",
" <td>887.890815</td>\n",
" <td>8651.0</td>\n",
" <td>9491.0</td>\n",
" <td>10432.40</td>\n",
" <td>10456.88</td>\n",
" <td>10463.0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>Face-Detection</th>\n",
" <td>10.0</td>\n",
" <td>8894.9</td>\n",
" <td>2516.083484</td>\n",
" <td>6459.0</td>\n",
" <td>8663.0</td>\n",
" <td>11720.15</td>\n",
" <td>11861.63</td>\n",
" <td>11897.0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>Gaussian-Blur</th>\n",
" <td>10.0</td>\n",
" <td>5313.3</td>\n",
" <td>350.052393</td>\n",
" <td>4893.0</td>\n",
" <td>5185.0</td>\n",
" <td>5773.20</td>\n",
" <td>5803.44</td>\n",
" <td>5811.0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>HDR</th>\n",
" <td>10.0</td>\n",
" <td>9961.9</td>\n",
" <td>2254.084167</td>\n",
" <td>7573.0</td>\n",
" <td>9928.0</td>\n",
" <td>12178.30</td>\n",
" <td>12187.66</td>\n",
" <td>12190.0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>HTML5-DOM</th>\n",
" <td>10.0</td>\n",
" <td>7263.6</td>\n",
" <td>1016.805477</td>\n",
" <td>6170.0</td>\n",
" <td>7274.0</td>\n",
" <td>8298.10</td>\n",
" <td>8306.02</td>\n",
" <td>8308.0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>HTML5-Parse</th>\n",
" <td>10.0</td>\n",
" <td>10441.8</td>\n",
" <td>2494.454819</td>\n",
" <td>8008.0</td>\n",
" <td>10349.5</td>\n",
" <td>12900.80</td>\n",
" <td>12920.96</td>\n",
" <td>12926.0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>Histogram-Equalization</th>\n",
" <td>10.0</td>\n",
" <td>7569.2</td>\n",
" <td>1481.676888</td>\n",
" <td>6035.0</td>\n",
" <td>7548.0</td>\n",
" <td>9019.65</td>\n",
" <td>9020.73</td>\n",
" <td>9021.0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>JPEG</th>\n",
" <td>10.0</td>\n",
" <td>10223.5</td>\n",
" <td>2318.186947</td>\n",
" <td>7987.0</td>\n",
" <td>10223.0</td>\n",
" <td>12472.15</td>\n",
" <td>12484.03</td>\n",
" <td>12487.0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>LLVM</th>\n",
" <td>10.0</td>\n",
" <td>17271.8</td>\n",
" <td>3361.825952</td>\n",
" <td>13867.0</td>\n",
" <td>16906.0</td>\n",
" <td>21041.80</td>\n",
" <td>21105.16</td>\n",
" <td>21121.0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>LZMA</th>\n",
" <td>10.0</td>\n",
" <td>8326.2</td>\n",
" <td>1544.287739</td>\n",
" <td>6653.0</td>\n",
" <td>8428.0</td>\n",
" <td>9839.15</td>\n",
" <td>9872.63</td>\n",
" <td>9881.0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>Lua</th>\n",
" <td>10.0</td>\n",
" <td>7398.8</td>\n",
" <td>1716.012290</td>\n",
" <td>5679.0</td>\n",
" <td>7279.5</td>\n",
" <td>9319.85</td>\n",
" <td>9516.77</td>\n",
" <td>9566.0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>Memory-Bandwidth</th>\n",
" <td>10.0</td>\n",
" <td>3128.9</td>\n",
" <td>195.209546</td>\n",
" <td>2917.0</td>\n",
" <td>3119.0</td>\n",
" <td>3360.40</td>\n",
" <td>3399.28</td>\n",
" <td>3409.0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>Memory-Copy</th>\n",
" <td>10.0</td>\n",
" <td>2878.1</td>\n",
" <td>168.548345</td>\n",
" <td>2708.0</td>\n",
" <td>2880.5</td>\n",
" <td>3046.55</td>\n",
" <td>3046.91</td>\n",
" <td>3047.0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>Memory-Latency</th>\n",
" <td>10.0</td>\n",
" <td>2066.6</td>\n",
" <td>561.304869</td>\n",
" <td>1510.0</td>\n",
" <td>2107.0</td>\n",
" <td>2602.10</td>\n",
" <td>2602.82</td>\n",
" <td>2603.0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>N-Body-Physics</th>\n",
" <td>10.0</td>\n",
" <td>6433.2</td>\n",
" <td>1770.382746</td>\n",
" <td>4740.0</td>\n",
" <td>6418.0</td>\n",
" <td>8146.30</td>\n",
" <td>8155.66</td>\n",
" <td>8158.0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>PDF-Rendering</th>\n",
" <td>10.0</td>\n",
" <td>9480.1</td>\n",
" <td>1842.399550</td>\n",
" <td>7542.0</td>\n",
" <td>9415.0</td>\n",
" <td>11424.65</td>\n",
" <td>11512.13</td>\n",
" <td>11534.0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>Ray-Tracing</th>\n",
" <td>10.0</td>\n",
" <td>7593.2</td>\n",
" <td>2164.654902</td>\n",
" <td>5475.0</td>\n",
" <td>7572.5</td>\n",
" <td>9694.10</td>\n",
" <td>9709.22</td>\n",
" <td>9713.0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>Rigid-Body-Physics</th>\n",
" <td>10.0</td>\n",
" <td>10478.5</td>\n",
" <td>2818.503435</td>\n",
" <td>7738.0</td>\n",
" <td>10482.0</td>\n",
" <td>13206.60</td>\n",
" <td>13225.32</td>\n",
" <td>13230.0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>SFFT</th>\n",
" <td>10.0</td>\n",
" <td>5520.7</td>\n",
" <td>844.234308</td>\n",
" <td>4695.0</td>\n",
" <td>5382.0</td>\n",
" <td>6633.35</td>\n",
" <td>6783.47</td>\n",
" <td>6821.0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>SGEMM</th>\n",
" <td>10.0</td>\n",
" <td>2468.4</td>\n",
" <td>406.405709</td>\n",
" <td>2078.0</td>\n",
" <td>2431.5</td>\n",
" <td>2942.35</td>\n",
" <td>2955.67</td>\n",
" <td>2959.0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>SQLite</th>\n",
" <td>10.0</td>\n",
" <td>8498.0</td>\n",
" <td>2217.649306</td>\n",
" <td>6286.0</td>\n",
" <td>8431.0</td>\n",
" <td>10745.00</td>\n",
" <td>10817.00</td>\n",
" <td>10835.0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>Speech-Recognition</th>\n",
" <td>10.0</td>\n",
" <td>5288.9</td>\n",
" <td>596.697476</td>\n",
" <td>4659.0</td>\n",
" <td>5296.0</td>\n",
" <td>5863.50</td>\n",
" <td>5867.10</td>\n",
" <td>5868.0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>score</th>\n",
" <td>10.0</td>\n",
" <td>6841.8</td>\n",
" <td>1279.393502</td>\n",
" <td>5606.0</td>\n",
" <td>6838.0</td>\n",
" <td>8074.25</td>\n",
" <td>8079.65</td>\n",
" <td>8081.0</td>\n",
" </tr>\n",
" <tr>\n",
" <th rowspan=\"9\" valign=\"top\">base</th>\n",
" <th rowspan=\"9\" valign=\"top\">geekbench</th>\n",
" <th>AES</th>\n",
" <td>10.0</td>\n",
" <td>5344.0</td>\n",
" <td>342.579107</td>\n",
" <td>4897.0</td>\n",
" <td>5323.5</td>\n",
" <td>5872.05</td>\n",
" <td>6048.81</td>\n",
" <td>6093.0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>Camera</th>\n",
" <td>10.0</td>\n",
" <td>12021.1</td>\n",
" <td>144.054349</td>\n",
" <td>11734.0</td>\n",
" <td>12014.0</td>\n",
" <td>12221.15</td>\n",
" <td>12276.23</td>\n",
" <td>12290.0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>Canny</th>\n",
" <td>10.0</td>\n",
" <td>10027.2</td>\n",
" <td>137.055382</td>\n",
" <td>9646.0</td>\n",
" <td>10078.5</td>\n",
" <td>10098.55</td>\n",
" <td>10098.91</td>\n",
" <td>10099.0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>Dijkstra</th>\n",
" <td>10.0</td>\n",
" <td>10334.0</td>\n",
" <td>72.332565</td>\n",
" <td>10192.0</td>\n",
" <td>10337.5</td>\n",
" <td>10426.20</td>\n",
" <td>10456.44</td>\n",
" <td>10464.0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>...</th>\n",
" <td>...</td>\n",
" <td>...</td>\n",
" <td>...</td>\n",
" <td>...</td>\n",
" <td>...</td>\n",
" <td>...</td>\n",
" <td>...</td>\n",
" <td>...</td>\n",
" </tr>\n",
" <tr>\n",
" <th>SGEMM</th>\n",
" <td>10.0</td>\n",
" <td>2718.5</td>\n",
" <td>118.953072</td>\n",
" <td>2578.0</td>\n",
" <td>2703.0</td>\n",
" <td>2911.85</td>\n",
" <td>2935.97</td>\n",
" <td>2942.0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>SQLite</th>\n",
" <td>10.0</td>\n",
" <td>10668.3</td>\n",
" <td>224.889627</td>\n",
" <td>10272.0</td>\n",
" <td>10658.5</td>\n",
" <td>10988.50</td>\n",
" <td>10992.10</td>\n",
" <td>10993.0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>Speech-Recognition</th>\n",
" <td>10.0</td>\n",
" <td>5807.5</td>\n",
" <td>40.186371</td>\n",
" <td>5750.0</td>\n",
" <td>5806.5</td>\n",
" <td>5860.80</td>\n",
" <td>5866.56</td>\n",
" <td>5868.0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>score</th>\n",
" <td>10.0</td>\n",
" <td>8061.4</td>\n",
" <td>53.975715</td>\n",
" <td>7983.0</td>\n",
" <td>8071.5</td>\n",
" <td>8130.05</td>\n",
" <td>8141.21</td>\n",
" <td>8144.0</td>\n",
" </tr>\n",
" <tr>\n",
" <th rowspan=\"26\" valign=\"top\">revert</th>\n",
" <th rowspan=\"26\" valign=\"top\">geekbench</th>\n",
" <th>AES</th>\n",
" <td>10.0</td>\n",
" <td>5020.0</td>\n",
" <td>344.068792</td>\n",
" <td>4473.0</td>\n",
" <td>5009.0</td>\n",
" <td>5404.55</td>\n",
" <td>5404.91</td>\n",
" <td>5405.0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>Camera</th>\n",
" <td>10.0</td>\n",
" <td>11988.6</td>\n",
" <td>502.790038</td>\n",
" <td>10783.0</td>\n",
" <td>12164.5</td>\n",
" <td>12396.00</td>\n",
" <td>12403.20</td>\n",
" <td>12405.0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>Canny</th>\n",
" <td>10.0</td>\n",
" <td>10033.5</td>\n",
" <td>57.231013</td>\n",
" <td>9921.0</td>\n",
" <td>10045.0</td>\n",
" <td>10089.90</td>\n",
" <td>10096.38</td>\n",
" <td>10098.0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>Dijkstra</th>\n",
" <td>10.0</td>\n",
" <td>10348.4</td>\n",
" <td>57.931377</td>\n",
" <td>10224.0</td>\n",
" <td>10344.0</td>\n",
" <td>10432.65</td>\n",
" <td>10433.73</td>\n",
" <td>10434.0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>Face-Detection</th>\n",
" <td>10.0</td>\n",
" <td>11204.5</td>\n",
" <td>245.945455</td>\n",
" <td>10780.0</td>\n",
" <td>11202.5</td>\n",
" <td>11523.35</td>\n",
" <td>11565.47</td>\n",
" <td>11576.0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>Gaussian-Blur</th>\n",
" <td>10.0</td>\n",
" <td>5811.9</td>\n",
" <td>426.237141</td>\n",
" <td>5372.0</td>\n",
" <td>5684.5</td>\n",
" <td>6456.15</td>\n",
" <td>6468.03</td>\n",
" <td>6471.0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>HDR</th>\n",
" <td>10.0</td>\n",
" <td>11975.7</td>\n",
" <td>295.350282</td>\n",
" <td>11698.0</td>\n",
" <td>11894.5</td>\n",
" <td>12488.15</td>\n",
" <td>12528.83</td>\n",
" <td>12539.0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>HTML5-DOM</th>\n",
" <td>10.0</td>\n",
" <td>8237.2</td>\n",
" <td>47.906854</td>\n",
" <td>8148.0</td>\n",
" <td>8254.0</td>\n",
" <td>8277.95</td>\n",
" <td>8281.19</td>\n",
" <td>8282.0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>HTML5-Parse</th>\n",
" <td>10.0</td>\n",
" <td>12808.8</td>\n",
" <td>91.157739</td>\n",
" <td>12656.0</td>\n",
" <td>12796.5</td>\n",
" <td>12920.35</td>\n",
" <td>12926.47</td>\n",
" <td>12928.0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>Histogram-Equalization</th>\n",
" <td>10.0</td>\n",
" <td>9022.8</td>\n",
" <td>144.083926</td>\n",
" <td>8668.0</td>\n",
" <td>9067.0</td>\n",
" <td>9162.50</td>\n",
" <td>9173.30</td>\n",
" <td>9176.0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>JPEG</th>\n",
" <td>10.0</td>\n",
" <td>12383.9</td>\n",
" <td>74.600343</td>\n",
" <td>12287.0</td>\n",
" <td>12383.5</td>\n",
" <td>12491.60</td>\n",
" <td>12510.32</td>\n",
" <td>12515.0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>LLVM</th>\n",
" <td>10.0</td>\n",
" <td>20500.3</td>\n",
" <td>350.485077</td>\n",
" <td>19908.0</td>\n",
" <td>20422.0</td>\n",
" <td>21053.45</td>\n",
" <td>21060.29</td>\n",
" <td>21062.0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>LZMA</th>\n",
" <td>10.0</td>\n",
" <td>9728.5</td>\n",
" <td>91.586328</td>\n",
" <td>9572.0</td>\n",
" <td>9741.0</td>\n",
" <td>9823.10</td>\n",
" <td>9831.02</td>\n",
" <td>9833.0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>Lua</th>\n",
" <td>10.0</td>\n",
" <td>9118.1</td>\n",
" <td>190.113095</td>\n",
" <td>8697.0</td>\n",
" <td>9160.5</td>\n",
" <td>9279.20</td>\n",
" <td>9280.64</td>\n",
" <td>9281.0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>Memory-Bandwidth</th>\n",
" <td>10.0</td>\n",
" <td>3322.1</td>\n",
" <td>79.011181</td>\n",
" <td>3122.0</td>\n",
" <td>3340.0</td>\n",
" <td>3397.60</td>\n",
" <td>3409.12</td>\n",
" <td>3412.0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>Memory-Copy</th>\n",
" <td>10.0</td>\n",
" <td>3053.9</td>\n",
" <td>10.754327</td>\n",
" <td>3033.0</td>\n",
" <td>3056.0</td>\n",
" <td>3064.10</td>\n",
" <td>3064.82</td>\n",
" <td>3065.0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>Memory-Latency</th>\n",
" <td>10.0</td>\n",
" <td>2602.8</td>\n",
" <td>3.552777</td>\n",
" <td>2597.0</td>\n",
" <td>2602.5</td>\n",
" <td>2607.65</td>\n",
" <td>2608.73</td>\n",
" <td>2609.0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>N-Body-Physics</th>\n",
" <td>10.0</td>\n",
" <td>7882.0</td>\n",
" <td>449.265574</td>\n",
" <td>6829.0</td>\n",
" <td>8077.0</td>\n",
" <td>8142.55</td>\n",
" <td>8150.11</td>\n",
" <td>8152.0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>PDF-Rendering</th>\n",
" <td>10.0</td>\n",
" <td>11265.0</td>\n",
" <td>161.133485</td>\n",
" <td>10885.0</td>\n",
" <td>11270.0</td>\n",
" <td>11452.10</td>\n",
" <td>11517.62</td>\n",
" <td>11534.0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>Ray-Tracing</th>\n",
" <td>10.0</td>\n",
" <td>9612.5</td>\n",
" <td>51.981300</td>\n",
" <td>9537.0</td>\n",
" <td>9615.0</td>\n",
" <td>9681.80</td>\n",
" <td>9687.56</td>\n",
" <td>9689.0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>Rigid-Body-Physics</th>\n",
" <td>10.0</td>\n",
" <td>13130.8</td>\n",
" <td>59.723065</td>\n",
" <td>13000.0</td>\n",
" <td>13138.5</td>\n",
" <td>13191.60</td>\n",
" <td>13195.92</td>\n",
" <td>13197.0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>SFFT</th>\n",
" <td>10.0</td>\n",
" <td>6466.3</td>\n",
" <td>578.029997</td>\n",
" <td>5933.0</td>\n",
" <td>6282.5</td>\n",
" <td>7486.00</td>\n",
" <td>7536.40</td>\n",
" <td>7549.0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>SGEMM</th>\n",
" <td>10.0</td>\n",
" <td>2813.4</td>\n",
" <td>99.708687</td>\n",
" <td>2664.0</td>\n",
" <td>2834.0</td>\n",
" <td>2922.35</td>\n",
" <td>2928.47</td>\n",
" <td>2930.0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>SQLite</th>\n",
" <td>10.0</td>\n",
" <td>10768.8</td>\n",
" <td>338.388271</td>\n",
" <td>10373.0</td>\n",
" <td>10741.0</td>\n",
" <td>11246.35</td>\n",
" <td>11367.67</td>\n",
" <td>11398.0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>Speech-Recognition</th>\n",
" <td>10.0</td>\n",
" <td>5845.9</td>\n",
" <td>58.483521</td>\n",
" <td>5743.0</td>\n",
" <td>5853.0</td>\n",
" <td>5907.65</td>\n",
" <td>5908.73</td>\n",
" <td>5909.0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>score</th>\n",
" <td>10.0</td>\n",
" <td>8079.9</td>\n",
" <td>69.249067</td>\n",
" <td>7910.0</td>\n",
" <td>8097.0</td>\n",
" <td>8151.50</td>\n",
" <td>8155.10</td>\n",
" <td>8156.0</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"<p>78 rows × 8 columns</p>\n",
"</div>"
],
"text/plain": [
" count mean std min \\\n",
"kernel test metric \n",
"ab geekbench AES 10.0 4735.4 314.679096 4502.0 \n",
" Camera 10.0 9754.2 2238.844285 7344.0 \n",
" Canny 10.0 8741.7 1398.907117 7387.0 \n",
" Dijkstra 10.0 9518.1 887.890815 8651.0 \n",
" Face-Detection 10.0 8894.9 2516.083484 6459.0 \n",
" Gaussian-Blur 10.0 5313.3 350.052393 4893.0 \n",
" HDR 10.0 9961.9 2254.084167 7573.0 \n",
" HTML5-DOM 10.0 7263.6 1016.805477 6170.0 \n",
" HTML5-Parse 10.0 10441.8 2494.454819 8008.0 \n",
" Histogram-Equalization 10.0 7569.2 1481.676888 6035.0 \n",
" JPEG 10.0 10223.5 2318.186947 7987.0 \n",
" LLVM 10.0 17271.8 3361.825952 13867.0 \n",
" LZMA 10.0 8326.2 1544.287739 6653.0 \n",
" Lua 10.0 7398.8 1716.012290 5679.0 \n",
" Memory-Bandwidth 10.0 3128.9 195.209546 2917.0 \n",
" Memory-Copy 10.0 2878.1 168.548345 2708.0 \n",
" Memory-Latency 10.0 2066.6 561.304869 1510.0 \n",
" N-Body-Physics 10.0 6433.2 1770.382746 4740.0 \n",
" PDF-Rendering 10.0 9480.1 1842.399550 7542.0 \n",
" Ray-Tracing 10.0 7593.2 2164.654902 5475.0 \n",
" Rigid-Body-Physics 10.0 10478.5 2818.503435 7738.0 \n",
" SFFT 10.0 5520.7 844.234308 4695.0 \n",
" SGEMM 10.0 2468.4 406.405709 2078.0 \n",
" SQLite 10.0 8498.0 2217.649306 6286.0 \n",
" Speech-Recognition 10.0 5288.9 596.697476 4659.0 \n",
" score 10.0 6841.8 1279.393502 5606.0 \n",
"base geekbench AES 10.0 5344.0 342.579107 4897.0 \n",
" Camera 10.0 12021.1 144.054349 11734.0 \n",
" Canny 10.0 10027.2 137.055382 9646.0 \n",
" Dijkstra 10.0 10334.0 72.332565 10192.0 \n",
"... ... ... ... ... \n",
" SGEMM 10.0 2718.5 118.953072 2578.0 \n",
" SQLite 10.0 10668.3 224.889627 10272.0 \n",
" Speech-Recognition 10.0 5807.5 40.186371 5750.0 \n",
" score 10.0 8061.4 53.975715 7983.0 \n",
"revert geekbench AES 10.0 5020.0 344.068792 4473.0 \n",
" Camera 10.0 11988.6 502.790038 10783.0 \n",
" Canny 10.0 10033.5 57.231013 9921.0 \n",
" Dijkstra 10.0 10348.4 57.931377 10224.0 \n",
" Face-Detection 10.0 11204.5 245.945455 10780.0 \n",
" Gaussian-Blur 10.0 5811.9 426.237141 5372.0 \n",
" HDR 10.0 11975.7 295.350282 11698.0 \n",
" HTML5-DOM 10.0 8237.2 47.906854 8148.0 \n",
" HTML5-Parse 10.0 12808.8 91.157739 12656.0 \n",
" Histogram-Equalization 10.0 9022.8 144.083926 8668.0 \n",
" JPEG 10.0 12383.9 74.600343 12287.0 \n",
" LLVM 10.0 20500.3 350.485077 19908.0 \n",
" LZMA 10.0 9728.5 91.586328 9572.0 \n",
" Lua 10.0 9118.1 190.113095 8697.0 \n",
" Memory-Bandwidth 10.0 3322.1 79.011181 3122.0 \n",
" Memory-Copy 10.0 3053.9 10.754327 3033.0 \n",
" Memory-Latency 10.0 2602.8 3.552777 2597.0 \n",
" N-Body-Physics 10.0 7882.0 449.265574 6829.0 \n",
" PDF-Rendering 10.0 11265.0 161.133485 10885.0 \n",
" Ray-Tracing 10.0 9612.5 51.981300 9537.0 \n",
" Rigid-Body-Physics 10.0 13130.8 59.723065 13000.0 \n",
" SFFT 10.0 6466.3 578.029997 5933.0 \n",
" SGEMM 10.0 2813.4 99.708687 2664.0 \n",
" SQLite 10.0 10768.8 338.388271 10373.0 \n",
" Speech-Recognition 10.0 5845.9 58.483521 5743.0 \n",
" score 10.0 8079.9 69.249067 7910.0 \n",
"\n",
" 50% 95% 99% max \n",
"kernel test metric \n",
"ab geekbench AES 4573.0 5290.65 5298.93 5301.0 \n",
" Camera 9192.0 12367.30 12376.66 12379.0 \n",
" Canny 8715.5 10109.75 10118.75 10121.0 \n",
" Dijkstra 9491.0 10432.40 10456.88 10463.0 \n",
" Face-Detection 8663.0 11720.15 11861.63 11897.0 \n",
" Gaussian-Blur 5185.0 5773.20 5803.44 5811.0 \n",
" HDR 9928.0 12178.30 12187.66 12190.0 \n",
" HTML5-DOM 7274.0 8298.10 8306.02 8308.0 \n",
" HTML5-Parse 10349.5 12900.80 12920.96 12926.0 \n",
" Histogram-Equalization 7548.0 9019.65 9020.73 9021.0 \n",
" JPEG 10223.0 12472.15 12484.03 12487.0 \n",
" LLVM 16906.0 21041.80 21105.16 21121.0 \n",
" LZMA 8428.0 9839.15 9872.63 9881.0 \n",
" Lua 7279.5 9319.85 9516.77 9566.0 \n",
" Memory-Bandwidth 3119.0 3360.40 3399.28 3409.0 \n",
" Memory-Copy 2880.5 3046.55 3046.91 3047.0 \n",
" Memory-Latency 2107.0 2602.10 2602.82 2603.0 \n",
" N-Body-Physics 6418.0 8146.30 8155.66 8158.0 \n",
" PDF-Rendering 9415.0 11424.65 11512.13 11534.0 \n",
" Ray-Tracing 7572.5 9694.10 9709.22 9713.0 \n",
" Rigid-Body-Physics 10482.0 13206.60 13225.32 13230.0 \n",
" SFFT 5382.0 6633.35 6783.47 6821.0 \n",
" SGEMM 2431.5 2942.35 2955.67 2959.0 \n",
" SQLite 8431.0 10745.00 10817.00 10835.0 \n",
" Speech-Recognition 5296.0 5863.50 5867.10 5868.0 \n",
" score 6838.0 8074.25 8079.65 8081.0 \n",
"base geekbench AES 5323.5 5872.05 6048.81 6093.0 \n",
" Camera 12014.0 12221.15 12276.23 12290.0 \n",
" Canny 10078.5 10098.55 10098.91 10099.0 \n",
" Dijkstra 10337.5 10426.20 10456.44 10464.0 \n",
"... ... ... ... ... \n",
" SGEMM 2703.0 2911.85 2935.97 2942.0 \n",
" SQLite 10658.5 10988.50 10992.10 10993.0 \n",
" Speech-Recognition 5806.5 5860.80 5866.56 5868.0 \n",
" score 8071.5 8130.05 8141.21 8144.0 \n",
"revert geekbench AES 5009.0 5404.55 5404.91 5405.0 \n",
" Camera 12164.5 12396.00 12403.20 12405.0 \n",
" Canny 10045.0 10089.90 10096.38 10098.0 \n",
" Dijkstra 10344.0 10432.65 10433.73 10434.0 \n",
" Face-Detection 11202.5 11523.35 11565.47 11576.0 \n",
" Gaussian-Blur 5684.5 6456.15 6468.03 6471.0 \n",
" HDR 11894.5 12488.15 12528.83 12539.0 \n",
" HTML5-DOM 8254.0 8277.95 8281.19 8282.0 \n",
" HTML5-Parse 12796.5 12920.35 12926.47 12928.0 \n",
" Histogram-Equalization 9067.0 9162.50 9173.30 9176.0 \n",
" JPEG 12383.5 12491.60 12510.32 12515.0 \n",
" LLVM 20422.0 21053.45 21060.29 21062.0 \n",
" LZMA 9741.0 9823.10 9831.02 9833.0 \n",
" Lua 9160.5 9279.20 9280.64 9281.0 \n",
" Memory-Bandwidth 3340.0 3397.60 3409.12 3412.0 \n",
" Memory-Copy 3056.0 3064.10 3064.82 3065.0 \n",
" Memory-Latency 2602.5 2607.65 2608.73 2609.0 \n",
" N-Body-Physics 8077.0 8142.55 8150.11 8152.0 \n",
" PDF-Rendering 11270.0 11452.10 11517.62 11534.0 \n",
" Ray-Tracing 9615.0 9681.80 9687.56 9689.0 \n",
" Rigid-Body-Physics 13138.5 13191.60 13195.92 13197.0 \n",
" SFFT 6282.5 7486.00 7536.40 7549.0 \n",
" SGEMM 2834.0 2922.35 2928.47 2930.0 \n",
" SQLite 10741.0 11246.35 11367.67 11398.0 \n",
" Speech-Recognition 5853.0 5907.65 5908.73 5909.0 \n",
" score 8097.0 8151.50 8155.10 8156.0 \n",
"\n",
"[78 rows x 8 columns]"
]
},
"execution_count": 15,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"multi_score_df = stats_df[stats_df.metric.str.match(\"Multi.*\")]\n",
"multi_score_df.loc[:, \"metric\"] = multi_score_df.metric.apply(lambda s : s.replace('Multi-Core_', '').replace('_score', ''))\n",
"multi_score_df = multi_score_df.set_index(['kernel', 'test', 'metric'])\n",
"logging.info(\"Detailed MULTI core scores:\")\n",
"multi_score_df"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"# Generic comparison plots\n",
"`plot_comparisons` can be used to automatically discover metrics that changed between different kernel versions or tags. "
]
},
{
"cell_type": "code",
"execution_count": 19,
"metadata": {},
"outputs": [
{
"name": "stderr",
"output_type": "stream",
"text": [
"2019-07-25 10:47:26,485 INFO : root : Here is the list of kernels available:\n",
"2019-07-25 10:47:26,725 INFO : root : ab, revert, base\n"
]
}
],
"source": [
"logging.info(\"Here is the list of kernels available:\")\n",
"logging.info(\" %s\", ', '.join(df['kernel'].unique().tolist() ))"
]
},
{
"cell_type": "code",
"execution_count": 21,
"metadata": {
"scrolled": false
},
"outputs": [
{
"name": "stderr",
"output_type": "stream",
"text": [
"2019-07-25 11:26:39,035 INFO : root : Comparing against baseline kernel: base\n",
"2019-07-25 11:26:44,945 WARNING : py.warnings : /data/work/lisa/.lisa-venv-3.5/lib/python3.5/site-packages/pandas/core/frame.py:6692: FutureWarning: Sorting because non-concatenation axis is not aligned. A future version\n",
"of pandas will change to not sort by default.\n",
"\n",
"To accept the future behavior, pass 'sort=False'.\n",
"\n",
"To retain the current behavior and silence the warning, pass 'sort=True'.\n",
"\n",
" sort=sort)\n",
"\n"
]
},
{
"data": {
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Sgf1PAL4AvApYH/g0cGyS1cf177nAI4CtgLdO0M6qwHHAVcBc4GHAUVX1P8ABwOkt/ge3Qz4PvKqq5gDbACeOr3PAU4Bf0Z3ftwPfTLLe+EJVdTfwTbpzOuZvgJOq6nq6/y9+EdgC2By4Ezh0inanchhwL/BI4AnAcwDXO5Ck5ZDJAkmStCzsAMwG3ldVf6iqE+luigdvSL9XVSe3m9W30H2KvhlAVX2lqm6qqnur6hBgdWAs0fAPwFur6tLq/KKqblpUQFX1W+BkYM+26XnAjVV1ziTxrwZ8tKruqapj6BIYY/YHPl1VZ1bVfVX1JeDudtyYQ6vq6qq6GTh4XN/HPBnYBHhjVd1RVXdV1VTrFNwDPCbJOlV1S1WdO0XZ6wfiPxq4FHjBJGWPoEucjPnbto32Pnyjqn5fVbe3vuwyRbsTSrIRXYLn9a2v1wMfGdeuJGk5YbJAkiQtC5sAV1fVwoFtV9F9cj7m6rEnVTUK3NyOI8mBSf6nDaG/FViX7hNygM3oPjFfEl8CXtqev5Ru5MBk8f+mqmpc/GO2AP6tDd+/tcW42Vj8zdXjjh3cN2Yz4Kqqunea8b+E7ob7qjZ1Y8cpyk4U/ybt2xhG2+Oitu+nwFpJnpJkLt2ojm8BJFkryaeTXJXkd3QJlwcvwfSBLegSML8dOGefpht5IklazpgskCRJy8K1wGZJBv+vsTnwm4HXm409STKbbrj/tW19gn+nGwr/kDYE/zYgrfjVdEP7F6Um2PZtYNs2P383+lMfBv0WeFiSDGzbfOD51cDBVfXggcdaVXXkRP1rx147QTtXA5uPzelfVPxVdXZV/RXdDfa3ga9NEj+TxH9t+zaG2e3x2Fbvfa2ufdrjuDaKAODf6EZ1PKWq1gGe3rYP1j3mDmCtgdf/b1xf7wYeOnDO1hmLQZK0fDFZIEmSloUz6dYR+PckqyWZD7wQOGqgzPOT7NzWB3g3cEZVXQ3MoZvXfgMwK8nb6NYmGPM54N1Jtkxn2yTrTxDDdcBfDG6oqruAY+iG2J9VVf87Sfyntxhe1+J/Md2UgTGfBQ5on8QnydpJXpBkzkCZVyfZtK0T8Bbg6AnaOYsuMfG+VscaSXYaiH/Tdn5I8qAk+yZZt6ruAX4HLJygzjEbDsS/J7A18P0pyh8B7EW31sIRA9vn0K1TcGvry9unqOM84OlJNk+yLvAfYzvaNJATgEOSrJNklSSPSLLYUxokScueyQJJkjTjquoPdMmBvwRuBD4JvLyqLhkodgTdjefNwPb8aXrA8cAPgcvohs7fRX9I/4fpPgU/ge6G+fPAmhOE8Xm6+f23Jvn2wPYvAY9j8ikIY/G/GNivxbcX3SKAY/sXAP9It9DfLcAvW9lBR7QYf003beKgCdq5j+48PRL4X+Ca1hZ0ixdeBPxfkhvbtpcBV7bpAAfQ3dhP5kxgS7rzfzCwx1RrO1TVmXQjAzYBfjCw66N05/dG4Ay692ayOn5ElxQ5HziHbp2KQS8HHgRcTHfejgE2nqIPkqQhSX8qmyRJ0rKX5DDgmqr6s28IuB/a3hy4BPh/VfW7ZdTGlcA/VNWPl0X902h/v9b+zsNoX5L0wOfIAkmStNJoayj8K93XEy6TRIEkSSuCiRbTkSRJWuEkWZtuHYCr6L42UZIkTcJpCJIkSZIkqcdpCJIkSZIkqcdkgSRJkiRJ6nHNAq1UHvrQh9bcuXOHHYYW0x133MHaa6897DC0kvL60zB5/WmYvP40LF57y9Y555xzY1VtsKhyJgu0Upk7dy4LFiwYdhhaTCMjI8yfP3/YYWgl5fWnYfL60zB5/WlYvPaWrSRXTaec0xAkSZIkSVKPyQJJkiRJktRjskCSJEmSJPW4ZoEkSZIkaYVyzz33cM0113DXXXcNO5ShWWONNdh0001ZbbXVluh4kwWSJEmSpBXKNddcw5w5c5g7dy5Jhh3O/a6quOmmm7jmmmt4+MMfvkR1OA1BkiRJkrRCueuuu1h//fVXykQBQBLWX3/9pRpZYbJAkiRJkrTCWVkTBWOWtv8mCyRJkiRJuh/Mnj172CFMm2sWSJIkSZJWaO+c4UEGb6+ZrW955MgCSZIkSZJm2O67787222/PYx/7WD7zmc/8cfsb3vAGHvvYx/LMZz6TG264YYgRTs1kgSRJkiRJM+wLX/gC55xzDgsWLODjH/84N910E3fccQfz5s3joosuYpddduGd73znsMOclMkCSZIkSZJm2Mc//nEe//jHs8MOO3D11Vdz+eWXs8oqq7DXXnsB8NKXvpRTTz11yFFOzjULJEmSJEmaQSMjI/z4xz/m9NNPZ6211mL+/PkTfo3h8vyNDY4skCRJkiRpBt1222085CEPYa211uKSSy7hjDPOAGDhwoUcc8wxABxxxBHsvPPOwwxzSiYLJEmSJEmaQc973vO499572XrrrXnzm9/MDjvsAMDaa6/NWWedxTbbbMOJJ57I2972tiFHOjmnIUiSJEmSVmj391cdrr766vzgBz/4s+2jo6P3byBLwZEFkiRJkiSpx2SBJEmSJEnqMVkgSZIkSZJ6TBZIkiRJkqQekwWSJEmSJKnHZIEkSZIkSeoxWSBJkiRJ0gPQYYcdxrXXXrtM6jZZIEmSJElasSUz+1gMVcXChQtnvEv33XefyQJJkiRJkh4orrzySh71qEfx8pe/nG222YbDDz+cHXfckSc+8YnsueeejI6O8sMf/pA999zzj8eMjIyw2267AXDCCSf8WXmAuXPn8qY3vYknPvGJHHnkkSxYsIB9992X7bbbjjvvvHNG+2CyQJIkSZKkGXb55Zfzz//8z5x00kl8/vOf58c//jHnnnsu8+bN48Mf/jDPetazOPPMM7njjjsAOProo9l777258cYbOeigg/6s/Jj111+fc889l5e+9KXMmzePr371q5x33nmsueaaMxr/rBmtTZIkSZIkscUWW7DDDjtw3HHHcfHFF7PTTjsB8Ic//IEdd9yRWbNm8bznPY/vfve77LHHHnzve9/jAx/4ACeddNKE5cfstdde90v8JgskSZIkSZpha6+9NtCtWfDsZz+bI4888s/K7L333hx66KGst956zJs3jzlz5kxZfrDeZc1pCJIkSZIkLSM77LADp512Gr/85S8BuOOOO7jssssA2GWXXTj33HP57Gc/y957773I8uPNmTOH22+/fZnEbbJAkiRJkqRlZIMNNuCwww5jn332Ydttt2XHHXfkkksuAWDVVVdlt9124wc/+MEfFzecqvx4++23HwcccMAyWeDQaQiSJEnLq4ULYRl9YnS/mzNn2BFIWplV3a/NzZ07lwsvvPCPr5/xjGdw9tlnT1j20EMP5dBDD+1tm6z8lVde2Xv9kpe8hJe85CVLH/AEHFkgSZIkSZJ6TBZIkiRJkqQekwWSJEmSJKnHZIEkSZIkaYVT9/M6Bcubpe2/yQJJkiRJ0gpljTXW4KabblppEwZVxU033cQaa6yxxHX4bQiSJEmSpBXKpptuyjXXXMMNN9ww7FCGZo011mDTTTdd4uNNFkiSJEmSViirrbYaD3/4w4cdxgOa0xAkSZIkSVKPyQJJkiRJktRjskCSJEmSJPWYLNCMSvL6JGtNsm+/JIcuRl2jMxeZJEmSJGm6TBZopr0emDBZIEmSJEl6YDBZoCWWZO0k30vyiyQXJnk7sAnw0yQ/bWVekeSyJGcBOy2ivocnOT3JBUkOGrfvjUnOTnJ+kne2be9L8uqBMu9IcuCMd1SSJEmSVjKpqmHHoAeoJC8BnldV/9herwv8AphXVTcm2Rg4E9geuA34KfDzqnrNJPUdCxxTVV9uSYD3V9XsJM8B9gBeBQQ4FvgAcDvw0arapR1/MfDcqrp6XL37A/sDbLTRRtsfddRRM3oetOyNjo4ye/bsYYehlZTXn4bp5utGufsarz8Nx+qbev1pOFaUa2/j7YcdwcR23XXXc6pq3qLKzbo/gtEK6wLgkCTvB46rqlOSDO5/CjBSVTcAJDka2GqK+nYCXtKeHw68vz1/Tnv8vL2eDWxZVZ9PsmGSTYANgFvGJwoAquozwGcA5s2bV/Pnz1/sjmq4RkZG8H3TsHj9aZiOPGSEyw6cP+wwtJLa6kNefxqOFeXa2+cB/rm8yQItsaq6LMkTgecDByX5yUxUO8G2AO+tqk9PsO/rdKMO/h9w9Ay0L0mSJEkrPdcs0BJrn+j/vqq+AnwQeCLd1IA5rciZwC5J1k+yGrDnIqo8Ddi7Pd93YPvxwCuTzG7tPizJhm3f0e2YPegSB5IkSZKkpeTIAi2NxwEfTLIQuAf4J2BH4IdJrq2qXZO8AzgduBU4bxH1/QtwRJI3Ad8Z21hVJyTZGji9TXMYBV4KXF9VFyWZA/ymqn47s92TJEmSpJWTyQItsao6nu5T/0ELgE8MlPki8MVp1ncFXbJhzFsH9n0M+Ngkxz1umiFLkiRJkqbBaQiSJEmSJKnHkQW63yV5C3++fsHXq+rgYcQjSZIkSeozWaD7XUsKmBiQJEmSpOWU0xAkSZIkSVKPyQJJkiRJktRjskCSJEmSJPWYLJAkSZIkST0mCyRJkiRJUo/JAkmSJEmS1ONXJ0qSJC2nNt4e9qlhR6GV1ciI15+Gw2tv+eDIAkmSJEmS1GOyQJIkSZIk9ZgskCRJkiRJPSYLJEmSJElSj8kCSZIkSZLUY7JAkiRJkiT1mCyQJEmSJEk9JgskSZIkSVKPyQJJkiRJktRjskCSJEmSJPWYLJAkSZIkST0mCyRJkiRJUo/JAkmSJEmS1GOyQJIkSZIk9ZgskCRJkiRJPSYLJEmSJElSj8kCSZIkSZLUM2vYAUiSJK10br992BFIkjQlRxZIkiRJkqQekwWSJEmSJKnHZIEkSZIkSeoxWSBJkiRJknpMFkiSJEmSpB6TBZIkSZIkqcdkgSRJkiRJ6jFZIEmSJEmSekwWSJIkSZKkHpMFkiRJkiSpx2SBJEmSJEnqMVkgSZIkSZJ6TBZomUsyN8klSQ5LclmSryZ5VpLTklye5MlJ1k7yhSRnJfl5kr8aOPaUJOe2x1Pb9vlJRpIc0+r+apIMt6eSJEmStGKYNewAtNJ4JLAn8ErgbOBvgZ2BFwH/CVwMnFhVr0zyYOCsJD8GrgeeXVV3JdkSOBKY1+p8AvBY4FrgNGAn4NT7r0uSJEmStGJKVQ07Bq3gkswFflRVW7bXXwaOr6qvJvkL4JvAvcAa7SfAesBz6RIBhwLbAfcBW1XVWknmA2+pqme3Ov8bOK2qvjJB+/sD+wNstNFG2x911FHLqKdaVkZHR5k9e/aww9BKyutPw3TzdaPcfY3Xn4Zj9U29/pbWxtsPO4IHJv/2Llu77rrrOVU1b1HlHFmg+8vdA88XDrxeSHcd3ge8pKouHTwoyTuA64DH002buWuSOu9jkuu5qj4DfAZg3rx5NX/+/CXtg4ZkZGQE3zcNi9efhunIQ0a47MD5ww5DK6mtPuT1t7T28XPZJeLf3uWDaxZoeXE88NqxdQeSPKFtXxf4bVUtBF4GrDqk+CRJkiRppWGyQMuLdwOrAecnuai9Bvgk8HdJfgE8GrhjSPFJkiRJ0krDaQha5qrqSmCbgdf7TbLvVRMcezmw7cCmN7XtI8DIQLnXzFjAkiRJkrSSc2SBJEmSJEnqMVkgSZIkSZJ6TBZIkiRJkqQekwWSJEmSJKnHZIEkSZIkSeoxWSBJkiRJknpMFkiSJEmSpB6TBZIkSZIkqcdkgSRJkiRJ6pk17AAkSZI0sY23h31q2FFoZTUy4vUnrcwcWSBJkiRJknpMFkiSJEmSpB6TBZIkSZIkqcdkgSRJkiRJ6jFZIEmSJEmSekwWSJIkSZKkHpMFkiRJkiSpx2SBJEmSJEnqMVkgSZIkSZJ6TBZIkiRJkqQekwWSJEmSJKnHZIEkSZIkSeoxWSBJkiRJknpMFkiSJEmSpB6TBZIkSZIkqcdkgSRJkiRJ6jFZIEmSJEmSekwWSJIkSZKknlnDDkCSJGlabr992BFIkrTScGSBJEmSJEnqMVkgSZIkSZJ6TBZIkiRJkqQekwWSJEmSJKnHZIEkSZIkSeoxWSBJkiRJknpMFkiSJEmSpB6TBZIkSZIkqcdkgSRJkiRJ6jHR2FrHAAAgAElEQVRZIEmSJEmSekwWaJlI8rMlPG4kybyZjkeSJEmSNH0mC7RMVNVThx2DJEmSJGnJmCzQMpFkNMnsJD9Jcm6SC5L8Vds3N8n/JPlskouSnJBkzXHHr5LksCQHLaKNj7Q6fpJkg2XdL0mSJElaGaSqhh2DVkBJRoEHA2tV1e+SPBQ4A9gS2AL4JTCvqs5L8jXg2Kr6SpIR4M3AvwAXVtXBU7RRwEur6qtJ3gZsWFWvmaDc/sD+ABtttNH2Rx111Iz2Vcve6Ogos2fPHnYYup/ccNGwI+ibteEo917v9afhWHML//3T8Pj3V8Pitbds7brrrudU1SKnfpss0DLRkgUPAT4CPB1YCDwKeDiwBvCjqtqylX0TsFpVHdSSBQ8BvjZVoqAddx+welXdm+QvgG9W1XZTHTNv3rxasGDB0nVO97uRkRHmz58/7DB0P/mvxww7gr4NXz3C9f81f9hhaCX12E/675+Gx7+/GhavvWUrybSSBU5D0LK0L7ABsH27ib+OLlEAcPdAufuAWQOvfwbsmmQNFo+ZL0mSJEmaASYLtCytC1xfVfck2ZVu+sF0fB74PvC1JLOmKLcKsEd7/rfAqUscqSRJkiTpj0wWaFkp4KvAvCQXAC8HLpn2wVUfBn4OHJ5ksuv0DuDJSS4EngG8a+lCliRJkiRBf+i3NCOSrA/cXFU3AjtOUmybsSdV9aGB5/MHnr99UW1V1b8ueaSSJEmSpIk4skAzKskmwOnAhxZVVpIkSZK0fHJkgWZUVV0LbDWTdSY5E1h93OaXVZXfpyJJkiRJy4DJAi33quopw45BkiRJklYmTkOQJEmSJEk9JgskSZIkSVKPyQJJkiRJktRjskCSJEmSJPWYLJAkSZIkST1+G4Ikabny6ouHHUHfyAjsuZzFpJXHyMiwI5AkrawcWSBJkiRJknpMFkiSJEmSpB6TBZIkSZIkqcdkgSRJkiRJ6jFZIEmSJEmSekwWSJIkSZKkHpMFkiRJkiSpx2SBJEmSJEnqMVkgSZIkSZJ6TBZIkiRJkqQekwWSJEmSJKnHZIEkSZIkSeoxWSBJkiRJknpMFkiSJEmSpB6TBZIkSZIkqcdkgSRJkiRJ6jFZIEmSJEmSekwWSJIkSZKknlnDDkCSJEnN7bcPOwJJkgBHFkiSJEmSpHFMFkiSJEmSpB6TBZIkSZIkqcdkgSRJkiRJ6jFZIEmSJEmSekwWSJIkSZKkHpMFkiRJkiSpx2SBJEmSJEnqMVkgSZIkSZJ6TBZIkiRJkqSeFSpZkORn7ecmSY5ZinrekeTAJTz2XUmetYTH/jDJrUmOW5LjVxZJrkzy0GHHIUmSJEkrqlnDDmAmVdVT289rgT2GFMPbluLwDwJrAa+aoXBmVJJZVXXvsOOQJEmSJC1bK9rIgtH2c26SC9vzNZJ8MckFSX6eZNdJjn1LksuSnAo8amD7I9on/uckOSXJo5Osm+SqJKu0MmsnuTrJakkOS7JH2/6kJD9L8oskZyWZk2TVJB9McnaS85P8MTFQVT8Bbp9mX69M8oHWr7OSPHKg7ye2un+SZPPW5hXpPDjJfUme3sqfnGTL1ocvtLp+nuSv2v79khyb5ETgJ5PEsnGr57wkFyZ5Wtv+30kWJLkoyTvHxf7eVn5BkicmOT7Jr5Ic0MrMb3V+L8mlST41dr7Htf3SFvN5ST6dZNXpnD9JkiRJ0uRWqJEFk3g1UFX1uCSPBk5IshWwHvC5qnp+ku2BvYHt6M7JucA57fjPAAdU1eVJngJ8sqqekeQ8YBfgp8BuwPFVdU8SAJI8CDga2Kuqzk6yDnAn8PfAbVX1pCSrA6clOaGqrliCvt3W+vVy4KMtjk8AX6qqLyV5JfDxqto9yaXAY4CHt/49LcmZwGatb+8BTqyqVyZ5MHBWkh+3dp4IbFtVN08Sx9+2/h/cbtbXatvfUlU3t20/SbJtVZ3f9v1vVW2X5CPAYcBOwBrAhcCnWpknt5ivAn4IvBj44/SSJFsDewE7tXP/SWBf4MuDwSXZH9gfYKONNmJkZGR6Z1fLjdHRUd83DY3Xn4bp5utGOfKQkWGHMamNtx92BFqW/PdPw+K1t3xYGZIFO9PdQFNVlyS5Ctiq3bQ+v5V5GvCtqvo9QJJj28/ZwFOBr48lAYDV28+j6W5Uf0qXaPjkuHYfBfy2qs5ubf+u1fkcYNux0QfAusCWwJIkC44c+PmR9nxHuptqgMOBD7TnpwBPp0sWvBf4R+Ak4Oy2/znAi/KntRrWADZvz380RaKAVscXkqwGfLuqzmvb/6bdqM8CNqa78R9LFhzbfl4AzK6q24Hbk9zdkhUAZ1XVrwGSHEn3Xg6uRfFMYHvg7Pb+rAlcPz64qvoMXdKHefPm1fz586foipZHIyMj+L5pWLz+NExHHjLCZQfOH3YYk9qnhh2BliX//dOweO0tH1aGZMHSWAW4taq2m2DfscB7kqxHd8N64jTrDPDaqjp+BuKrSZ5P5GTgn4BNgLcBbwTm0yURxuJ6SVVd2gu2G01xx5RBVJ3cpjW8ADgsyYdbvQcCT6qqW5IcRpeAGHN3+7lw4PnY67Hrcnyfxr8O3SiK/5gqPkmSJEnS4lmh1iyYxCl0Q9Np0w82By4dV+ZkYPckayaZA7wQ/jga4Ioke7bjk+Txbd8o3SfqHwOOq6r7xtV5KbBxkie1Y+ckmQUcD/xT+xSeJFslWXsJ+7bXwM/T2/Of0Y10oPV7LBlwFt0oiYVVdRdwHt1Ciie3/ccDr037iD7JE6YbRJItgOuq6rPA5+imLaxDl2S4LclGwF8udu/gyUke3tYq2As4ddz+nwB7JNmwxbFei0WSJEmStBRWhpEFnwT+O8kFwL3AflV1d5JNaGsWVNW5SY4GfkE3jP3sgeP3bce/FVgNOKqVg24qwtfpPqHvqao/JNkL+ESSNenWK3gW3c30XODcdmN+A7A7QJJTgEcDs5NcA/z9IkYgPCTJ+XSfzO/Ttr0W+GKSN7a6X9HiuTvJ1cAZrdwp7ZgL2ut30617cH67Ob+Cbg2E6ZgPvDHJPcAo8PKquiLJz4FLgKuB06ZZ16CzgUOBR9JN9/jW4M6quri9Lye0mO+hW6PiqiVoS5IkSZLUpMrJZg9ESa4E5lXVjcOOZVlIMh84sKqmm7CYlnnz5tWCBQtmskrdD5y3pmHy+tMwLe9rFrzd/0au0Pz3T8PitbdsJTmnquYtqtzKMA1BkiRJkiQthpVhGsIDWpJv0X2DwaA3VdXcIcTyOLpvWBh0d1U9ZabbqqoRYGSm65UkSZIkLZrJguVcVf31sGMYU1UXABN9M4QkSZIkaQXiNARJkiRJktRjskCSJEmSJPWYLJAkSZIkST0mCyRJkiRJUo/JAkmSJEmS1OO3IUiSJC2nNt4e9qlhRyFJWhk5skCSJEmSJPWYLJAkSZIkST0mCyRJkiRJUo/JAkmSJEmS1GOyQJIkSZIk9ZgskCRJkiRJPSYLJEmSJElSj8kCSZIkSZLUY7JAkiRJkiT1mCyQJEmSJEk9JgskSZIkSVKPyQJJkiRJktRjskCSJEmSJPWYLJAkSZIkST0mCyRJkiRJUo/JAkmSJEmS1GOyQJIkSZIk9ZgskCRJkiRJPbOGHYAkSdIK7fbbhx2BJEmLzZEFkiRJkiSpx2SBJEmSJEnqMVkgSZIkSZJ6TBZIkiRJkqQekwWSJEmSJKnHZIEkSZIkSeoxWSBJkiRJknpMFkiSJEmSpB6TBZIkSZIkqcdkgSRJkiRJ6lmhkgVJftZ+bpLkmKWo5x1JDlzCY9+V5FlLeOzfJbm8Pf5uSepYGSQZHXYMkiRJkrQimzXsAGZSVT21/bwW2GNIMbxtSY5Lsh7wdmAeUMA5SY6tqltmMr6lkWRWVd077DgkSZIkScvWijayYLT9nJvkwvZ8jSRfTHJBkp8n2XWSY9+S5LIkpwKPGtj+iCQ/THJOklOSPDrJukmuSrJKK7N2kquTrJbksCR7tO1PSvKzJL9IclaSOUlWTfLBJGcnOT/Jq1pTzwV+VFU3twTBj4DnTdXXJB9JclGSnyTZoG3fLskZre5vJXlIkg2TnNP2Pz5JJdm8vf5VkrWSbJDkGy2us5Ps1Pa/I8nhSU4DDp8klse2/p3X2t2ybf92O28XJdl/XOwfbNt/nOTJSUaS/DrJi1qZ/ZJ8p22/PMnbJ2n7jQPn8p2TnS9JkiRJ0vStUCMLJvFqoKrqcUkeDZyQZCtgPeBzVfX8JNsDewPb0Z2Tc4Fz2vGfAQ6oqsuTPAX4ZFU9I8l5wC7AT4HdgOOr6p4kACR5EHA0sFdVnZ1kHeBO4O+B26rqSUlWB05LcgLwMODqgbivadsmszawoKrekORtdKMSXgN8GXhtVZ2U5F3A26vq9S1psg7wNGAB8LSWGLm+qn6f5HPAR6rq1JZIOB7YurX1GGDnqrpzklgOAD5WVV9t/V61bX9lVd2cZE3g7CTfqKqbWuwnVtUbk3wLOAh4dmvnS8Cx7fgnA9sAv2/Hf6+qFow1muQ5wJatXIBjkzy9qk4eDK4lKvYH2GijjRgZGZnitOr+8NtzFl1m0OqbjnLkISPLJBZpUbz+NExzHjXq3y0Nzeio15+Gw2tv+bAyJAt2Bj4BUFWXJLkK2Kqqzgee38o8DfhWVf0eIMmx7eds4KnA18eSAMDq7efRwF50yYK9gU+Oa/dRwG+r6uzW9u9anc8Bth0bfQCsS3fDu7gWthgAvgJ8M8m6wIOr6qS2/UvA19vznwE7AU8H3kM3aiHAKW3/s4DHDPRzndZ/gGOnSBQAnA68JcmmwDer6vK2/XVJ/ro934yunzcBfwB+2LZfANzdEi0XAHMH6v1RSy6Q5Jt07+WCgf3PaY+ft9ezWxu9ZEFVfYYu6cO8efNq/vz5U3RF94d3Tji+Z3JbfWiEyw6cv0xikRbF60/DtMtPR/DvloZlZMTrT8Phtbd8WBmSBUtjFeDWqtpugn3HAu9paw1sD5w4zTpD98n/8b2NyfrA/IFNmwIjixFrLWL/yXRJkS2A7wBvasd8r+1fBdihqu4aFxfAHVM2XHVEkjOBFwDfb1MrFtIlIHZsIxdGgDXaIfdU1Vi8C4G7Wz0Lkwxek+P7NP51gPdW1aenik+SJEmStHhWqDULJnEKsC9Am36wOXDpuDInA7snWTPJHOCF8MfRAFck2bMdnySPb/tGgbOBjwHHVdV94+q8FNg4yZPasXPajfDxwD8lWW0spiRrt+3PaWsMPITuE/Pjmdwq/GkRx78FTq2q24BbkjytbX8ZMDbK4BTgpcDlVbUQuJluZMWpbf8JwGvHKk8yUYJkQkn+Avh1VX2cLhGxLd2IiVtaouDRwA7TrW/As5Os16Yx7A6cNm7/8cArx0ZAJHlYkg2XoB1JkiRJ0oCVYWTBJ4H/bkPc7wX2q6q7k2xCW7Ogqs5NcjTwC+B6uiTAmH3b8W8FVgOOauWgmwbwdfojAgCoqj8k2Qv4RLvZvZPuk/bP0Q21Pzfdx/Y3ALu3uf3vHmj7XVV18xT9ugN4covreropEQB/B3wqyVrAr4FXtHiubO2NDdE/Fdh04NsWXgf8V5Lz6a6Lk+nWIpiOvwFeluQe4P/opjncARyQ5H/oEidnTLOuQWcB36AbZfGVwfUKWp9OSLI1cHobATFKlxC5fgnakiRJkiQ1+dNocD2QJBmtqtmLLvnAlGQ/YF5VvWYm6503b14tWLBg0QW1TL0ziy4zyDnjGiavPw2TaxZomJw3rmHx2lu2kpxTVfMWVW5lmIYgSZIkSZIWw8owDeEBrS0cuPq4zS8bxqiCJM8F3j9u8xVV9dcTlV8aVXUYcNhM1ytJkiRJWjSTBcu5qnrKsGMY077BYapFFyVJkiRJKwCnIUiSJEmSpB6TBZIkSZIkqcdkgSRJkiRJ6jFZIEmSJEmSekwWSJIkSZKkHpMFkiRJkiSpx69OlHS/e3stXvmREdhnMY+RZorXn4ZpZGTYEUiSVlaOLJAkSZIkST0mCyRJkiRJUo/JAkmSJEmS1GOyQJIkSZIk9ZgskCRJkiRJPSYLJEmSJElSj8kCSZIkSZLUY7JAkiRJkiT1mCyQJEmSJEk9JgskSZIkSVKPyQJJkiRJktRjskCSJEmSJPWYLJAkSZIkST0mCyRJkiRJUo/JAkmSJEmS1GOyQJIkSZIk9ZgskCRJkiRJPbOGHYAkSdJK6fbbhx2BJEmTcmSBJEmSJEnqMVkgSZIkSZJ6TBZIkiRJkqQekwWSJEmSJKnHZIEkSZIkSeoxWSBJkiRJknpMFkiSJEmSpB6TBZIkSZIkqcdkgSRJkiRJ6jFZIEmSJEmSekwWSJIkSZKkHpMFSyjJ65L8T5KvDjGG+UmeOo1yuyd5zDTKvSPJgdNse26SC6dTdpr17Zdkk4HXn5tOzJIkSZKkmWeyYMn9M/Dsqtp3bEOSWfdzDPOBRSYLgN2Bod94J1l1it37AX9MFlTVP1TVxcs8KEmSJEnSnzFZsASSfAr4C+AHSW5LcniS04DD2yfupyQ5tz2e2o6Zn+SkJN9J8usk70uyb5KzklyQ5BGt3AZJvpHk7PbYaZIY5gIHAG9Icl6Sp7W2T0xyfpKfJNm8tf8i4IOt3COS/GOr+xetrbWm2e/t2zG/AF49sH2/JIcOvD4uyfz2fDTJIe2YHZO8rbV9YZLPpLMHMA/4aotxzSQjSea1OvZp5+jCJO8faGc0ycEtpjOSbDS9d1CSJEmSNJVU1bBjeEBKciXdDe5rgBcCO1fVne3Ge2FV3ZVkS+DIqprXbp6/DWwN3Az8GvhcVb09yb8AD6+q1yc5AvhkVZ2aZHPg+KraepIY3gGMVtWH2uvvAsdU1ZeSvBJ4UVXtnuQw4LiqOqaVW7+qbmrPDwKuq6pPjK9vgvbOB15TVScn+SDwl1W1TZL9gHlV9ZpW7jjgQ1U1kqSAvarqa23felV1c3t+OPC1qvpukhHgwKpa0PaNAAcC1wJnANsDtwAnAB+vqm+3ul/Ujv8A8LuqOmiCuPcH9gfYaKONtj/qqKMm6p6WY6Ojo8yePXvYYWgl5fWnYbr5ulHuvsbrT8Ox+qZef/enjbcfdgTLD//2Llu77rrrOVU1b1Hl7u9h8yuqY6vqzvZ8NeDQJNsB9wFbDZQ7u6p+C5DkV3Q3vgAXALu2588CHpNk7Jh1ksyuqtFpxLEj/5+9O4/SrKrv/f/+QDMotCAxEjRREhWIK2hrV4s/FWwIwThDBJFolCEiXsURr9yLI8YBidcAFxRCBPWn2AuVSPAXGgQKkEF6gG6GMGQFkLhYkShTA6Li9/fH2QXPKau6qtuufgp4v9aqVc+zzz77fM+wqvt8z977wF+1z18HPj9JvT9rSYItgc2BxVM1nGRLYMuqumig/VdOI6aHgO8MfN81yf8EnghsBVwL/Mtq1l8AjFbVHS2ObwC70CVefgmc1eotA/5iogaq6iTgJICRkZFauHDhNMLWbDI6OornTcPi9adhOu0Lo9x42MJhh6HHqe3+3utvfdrPZ7gP89/e2cFkwbpx38Dn9wP/BTyfbpjHLwaWPTjw+TcD33/DI+diA+DFVTW43rp2KrBnVa1ovQIW/o7t/Zr+kJZNBz7/oqoeAkiyKXACXS+E21pPhsG6a+pX9UjXmIfwepYkSZKkdcI5C9a9LYDbq+o3wN8Aq5vUbyLnAIeOfWk9FCZzLzB34PulwJva5zcDF09Sby5we5KNWr0pVdVdwF1JXjbQ/phbgHlJNkjyR8CLJmlmLDHw30k2B/Zezb6MuQJ4eZKntAkS9wMunE7MkiRJkqS1Y7Jg3TsBeFub0G8H+r0OpuM9wEibpPA6ukkMJ/MvwF5jExzSJRkOaHML/A3w3lbvW8CHklzZJlL8KPAj4BLg+jWI7QDg+CRXARkovwS4GbgOOBZYPtHKLeHwj8A1dEMflgwsPhX48tgEhwPr3A4cDlwArACWVdX31iBmSZIkSdIastv2WqqqbdvHT4wrvwl43kDRh1v5KDA6UG/hwOeHl1XVfwP7TjOGG8dtC2C3CepdQv/ViV9qP+PrfWKK7S2jG14x5n+28mKSHgpVtfm47x8BPjJBve/Qn9tg4cCy04DTVtd2m7zx26uLX5IkSZI0PfYskCRJkiRJPfYseBRIcgCPDCkYc0lVvWuGtnc88NJxxcdU1SkzsT1JkiRJ0uxisuBRoN2kr7cb9ZlKQkiSJEmSHh0chiBJkiRJknpMFkiSJEmSpB6TBZIkSZIkqcdkgSRJkiRJ6jFZIEmSJEmSenwbgiRJ0iy1zXzYr4YdhR6vRke9/qTHM3sWSJIkSZKkHpMFkiRJkiSpx2SBJEmSJEnqMVkgSZIkSZJ6TBZIkiRJkqQekwWSJEmSJKnHZIEkSZIkSeoxWSBJkiRJknpMFkiSJEmSpB6TBZIkSZIkqcdkgSRJkiRJ6jFZIEmSJEmSekwWSJIkSZKkHpMFkiRJkiSpx2SBJEmSJEnqMVkgSZIkSZJ6TBZIkiRJkqQekwWSJEmSJKlnzrADkCRJ0oB77x12BJIk2bNAkiRJkiT1mSyQJEmSJEk9JgskSZIkSVKPyQJJkiRJktRjskCSJEmSJPWYLJAkSZIkST0mCyRJkiRJUo/JAkmSJEmS1GOyQJIkSZIk9ZgskCRJkiRJPeslWZDkE0kOW4v1jkyy+zqKYdskfz2NevOSvGoa9RYmOWtdxDYMSV6X5PD2+ZAkb/0d2rolyVPWct1L13K9XZIsT/LrJHuvTRuSJEmSpInNGXYAq1NVH1uHzW0L/DXwzSnqzQNGgP9vHW57nUmyYVU99Lu2U1VnAme2z1/+nQNb+zhespar/hjYH1jjJJQkSZIkafVmrGdBkiOS3Jjkh8D2rexZSc5OsizJxUl2SLJFkluTbNDqbJbktiQbJTl17KlxkgVJLk2yIskVSeYm2TDJ0UmWJFmZ5B2rCelzwM5Jrkry/iSbJjklydVJrkyya5KNgSOBfVu9fZO8KMllrc6lSbaf5v5vluQrLdYrk7y+le+f5LvtONyU5PMD6+zRtrU8yelJNm/ltyQ5KslyYJ92LFa2GI9Ock2rd1GSeQPt/TDJ8yeJb/8k/7d9frjnR+tZcXlr/4wkT55g3d9Lck6Sa5OcDGRg2VvaPl+V5MR2jg5JcvQk2141UP7hdj5WJPlcK/utawagqm6pqpXAb6ZzPiRJkiRJ0zcjPQuSzAfeRPeUfg6wHFgGnAQcUlU3JdkJOKGqdktyFfBy4ALgNcDiqvpVkrH2NgYWAftW1ZIkTwIeAA4C7q6qBUk2AS5Jck5V3TxBWIcDh1XVa1qbHwSqqnZsN6DnANsBHwNGqurdrd6TgJ2r6tfphkR8BnjDNA7DEcD5VXVgki2BK5L8oC2bB7wAeBC4IclxbX8+AuxeVfcl+TDwAbrkBcDPquqFLaZrgLdX1WVjN9XNP9E9bX9fku2ATatqxTRiHfQ14NCqujDJkcDHW3uHwMO9ED4O/LCqjkzyarrzQJI/BfYFXtrO3wnAm4HvAJcBH2rb2Bf49OBGk7wSeD2wU1Xdn2Srtui3rhlgtzXZoSQHAwcDbL311oyOjq7J6poFVq1a5XnT0Hj9aZh+/l+rOO0Lo8MOY1LbzB92BJpJ/v3TsHjtzQ4zNQxhZ+CMqrofIMmZwKbAS4DTx5IAwCbt9yK6G8gL6JIMJ4xrb3vg9qpaAlBV97R29wCel0fGrG8BPAeYKFkw3suA41p71ye5lS5ZMN4WwFeTPAcoYKNptA2wB/C6PDJXw6bAM9rn86rq7rYP1wHPBLYEnkuX8ADYmO4Ge8yiVn9LYG5VjS37Jl2CBeB04KNJPgQcCJw6zVhpbW8BbFlVF7air7Y2xw9V2AX4q1b+/SR3tvI/B+YDS9o+PAH4aVXdkeQ/krwYuAnYAbhk3OZ3B04Zu2aq6uetZ8Vk18y0VdVJdEkHRkZGauHChWvahIZsdHQUz5uGxetPw3TaF0a58bCFww5jUvvVsCPQTPLvn4bFa292WJ9zFmwA3FVV8yZYdibwmfY0eT5w/jTbDN1T8MXrKMaJfAq4oKr2SrItMDrN9QK8oapu6BV2T8cfHCh6iO48BDi3qvabpL37ptpgeyJ/Lt0T+jfSHcv1KcBXq+p/TbDsW3QxXU+XSJrOfy9Wd81IkiRJkmbITM1ZcBGwZ5InJJkLvBa4H7g5yT4A6TwfoKpWAUuAY4CzJpjA7wZgmyQL2rpzk8wBFgPvTLJRK98uyWaTxHQvMHfg+8V0XeRpXfaf0bYzvt4WwE/a5/3X4BgsBg5NeySe5AVT1L8ceGmSZ7f6m7W4eqrqLuDelnSArifGoJOBY4ElVXUna6D1drgzyc6t6G+ACyeoehHdZJFjwwfG5jU4D9g7yVPbsq2SPLMtO4MuibEfXeJgvHOBA5I8cWzd1oNkwmtGkiRJkjRzZiRZUFXL6brNrwD+lS4RAN3N+UFJVgDX0t08jlkEvKX9Ht/eL+mGKRzX1j2Xrlv/ycB1wPI2jv9EJu8tsRJ4qE2e9366oQ4bJLm6bXP/qnqQbijEc9sEffsCnwc+m+TK1bQ9kU/RDVlYmeTa9n1SVXUHXTLitCQr6YYg7DBJ9YOAf2xzPWwG3D3QzjLgHuCUNYh10NuAo1sM82hzJrRJCg9pdT4J7NL266/o3kxAVV1HN+/COW39c4Ft2rI7gX8DnllVV0yw/2fT9TBZ2vZrbPjGhNdMukke/xPYBzixxSJJkiRJWgcyvd7gmk2SbN56Y5DkcGCbqnpv+/40uqESO1SVbwoYZ2RkpJYuXTrsMLSGHLemYfL60zDN9jkLPu5/Ix/T/PunYfHam1lJllXVyFT1ZuzViZpRr249H66hm0zy7wCSvBX4EXCEiQJJkiRJ0tpanxMcrhdJdgS+Pq74waraaaL662B7BwDvHVd8SVW9aya2B1BVi5h4uMbX6F59ONT4JEEU2XQAACAASURBVEmSJEmPbo+5ZEFVXU031n59be8U1n5+gBk32+OTJEmSJM0+DkOQJEmSJEk9JgskSZIkSVKPyQJJkiRJktRjskCSJEmSJPWYLJAkSZIkST2PubchSJIkPVZsMx/2q2FHIUl6PLJngSRJkiRJ6jFZIEmSJEmSekwWSJIkSZKkHpMFkiRJkiSpx2SBJEmSJEnqMVkgSZIkSZJ6TBZIkiRJkqQekwWSJEmSJKnHZIEkSZIkSeoxWSBJkiRJknpMFkiSJEmSpB6TBZIkSZIkqcdkgSRJkiRJ6jFZIEmSJEmSekwWSJIkSZKkHpMFkiRJkiSpx2SBJEmSJEnqMVkgSZIkSZJ65gw7AEmSpMeUe+8ddgSSJP3O7FkgSZIkSZJ6TBZIkiRJkqQekwWSJEmSJKnHZIEkSZIkSeoxWSBJkiRJknpMFkiSJEmSpB6TBZIkSZIkqcdkgSRJkiRJ6jFZIEmSJEmSekwWSJIkSZKknvWWLEjyiSSHrcV6RybZfR3FsG2Sv55GvXlJXjWNeguTnLUuYhuGJK9Lcnj7fEiSt/4Obd2S5Clrue6la7neJkkWJfn3JD9Ksu3atCNJkiRJ6pv1PQuq6mNV9YN11Ny2wJTJAmAeMGWyYFiSbLgu2qmqM6vqc+3zl6vqa+ui3bWI4yVruepBwJ1V9Wzgi8BR6y4qSZIkSXr8mtFkQZIjktyY5IfA9q3sWUnOTrIsycVJdkiyRZJbk2zQ6myW5LYkGyU5NcnerXxBkkuTrEhyRZK5STZMcnSSJUlWJnnHakL6HLBzkquSvD/JpklOSXJ1kiuT7JpkY+BIYN9Wb98kL0pyWatzaZLtp7n/myX5Sov1yiSvb+X7J/luOw43Jfn8wDp7tG0tT3J6ks1b+S1JjkqyHNinHYuVLcajk1zT6l2UZN5Aez9M8vxJ4ts/yf9tnx/u+dF6Vlze2j8jyZMnWPf3kpyT5NokJwMZWPaWts9XJTmxnaNDkhw9ybZXDZR/uJ2PFUk+18p+65pp1V8PfLV9/jbw50kejkOSJEmStHbmzFTDSeYDb6J7Sj8HWA4sA04CDqmqm5LsBJxQVbsluQp4OXAB8BpgcVX9auzer93ELwL2raolSZ4EPED3dPnuqlqQZBPgkiTnVNXNE4R1OHBYVb2mtflBoKpqx3YDeg6wHfAxYKSq3t3qPQnYuap+nW5IxGeAN0zjMBwBnF9VBybZErgiyVgviXnAC4AHgRuSHNf25yPA7lV1X5IPAx+gS14A/KyqXthiugZ4e1VdNnZT3fwTsD/wviTbAZtW1YppxDroa8ChVXVhkiOBj7f2DqE7YF9uZT+sqiOTvJruPJDkT4F9gZe283cC8GbgO8BlwIfaNvYFPj240SSvpEsA7FRV9yfZqi36rWsG2A14OnBbi+nXSe4Gfg/473HtHgwcDLD11lszOjq6hodj5t2+bNgRzG6b/OEqTvvC6LDD0OOU15+Gae72q2blv1t6fFi1yutPw+G1NzvMWLIA2Bk4o6ruB0hyJrAp8BLg9IEHwJu034vobiAvoEsynDCuve2B26tqCUBV3dPa3QN43ljvA2AL4DnARMmC8V4GHNfauz7JrXTJgvG2AL6a5DlAARtNo22APYDX5ZG5GjYFntE+n1dVd7d9uA54JrAl8Fy6hAfAxnQ32GMWtfpbAnOramzZN+kSLACnAx9N8iHgQODUacZKa3sLYMuqurAVfbW1OZYkGLML8Fet/PtJ7mzlfw7MB5a0fXgC8NOquiPJfyR5MXATsANwybjN7w6cMnbNVNXPW8+Kya6Zaamqk+gSDoyMjNTChQvXZPX14pO7DjuC2W27vx/lxsMWDjsMPU55/WmYXn7BKLPx3y09PoyOev1pOLz2ZoeZTBZMZAPgrqqaN8GyM4HPtKfJ84Hzp9lm6J6CL15HMU7kU8AFVbVXukn0Rqe5XoA3VNUNvcLu6fiDA0UP0Z2LAOdW1X6TtHffVBtsT+TPpXtC/0a6Y7k+BfhqVf2vCZZ9iy6m6+kSSTWN9lZ3zfwE+CPgP5PMoUvq/GztwpYkSZIkjZnJOQsuAvZM8oQkc4HXAvcDNyfZByCd5wNU1SpgCXAMcFZVPTSuvRuAbZIsaOvObTeIi4F3JtmolW+XZLNJYroXmDvw/WK6LvK0LvvPaNsZX28LuhtT6Lr4T9di4NCxcfRJXjBF/cuBlyZ5dqu/WYurp6ruAu5tSQfoemIMOhk4FlhSVXeyBlpvhzuT7NyK/ga4cIKqF9Emi2zDB8bmNTgP2DvJU9uyrZI8sy07gy6JsR9d4mC8c4EDkjxxbN3Wg2TCa4YuwfS29nlvuiEf00lASJIkSZJWY8aSBVW1nK7b/ArgX+kSAdDdnB+UZAVwLd3N45hFwFva7/Ht/ZJumMJxbd1z6br1nwxcByxv4/hPZPIeEyuBh9rkee+nG+qwQZKr2zb3r6oH6YZCPLdN0Lcv8Hngs0muXE3bE/kU3ZCFlUmubd8nVVV30CUjTkuykm4Iwg6TVD8I+Mc218NmwN0D7SwD7gFOWYNYB70NOLrFMI82Z0KbpPCQVueTwC5tv/4K+HHb9nV08y6c09Y/F9imLbsT+DfgmVV1xQT7fzZdAmBp26+x4RuTXTP/BPxekn+nm9vh8LXcX0mSJEnSgPgg9tEpyeatNwZJDge2qar3tu9PoxsqsUNV/WZ4Uc4+IyMjtXTp0mGH8Vs+6TscVssx4xomrz8Nk3MWaJgcN65h8dqbWUmWVdXIVPVm9NWJmlGvbj0frqGbTPLvAJK8FfgRcISJAkmSJEnS2ljfExyuF0l2BL4+rvjBqtppovrrYHsHAO8dV3xJVb1rJrYHUFWLmHi4xtfoXn041PgkSZIkSY9ej8lkQVVdTTfWfn1t7xTWfn6AGTfb45MkSZIkzS4OQ5AkSZIkST0mCyRJkiRJUo/JAkmSJEmS1GOyQJIkSZIk9ZgskCRJkiRJPY/JtyFIjzYfr2FHMLuNjsJ+HiMNidefhml0dNgRSJIer+xZIEmSJEmSekwWSJIkSZKkHpMFkiRJkiSpx2SBJEmSJEnqMVkgSZIkSZJ6TBZIkiRJkqQekwWSJEmSJKnHZIEkSZIkSeoxWSBJkiRJknpMFkiSJEmSpB6TBZIkSZIkqcdkgSRJkiRJ6jFZIEmSJEmSekwWSJIkSZKkHpMFkiRJkiSpx2SBJEmSJEnqMVkgSZIkSZJ6TBZIkiRJkqSeOcMOQJIk6XHv3nuHHYEkST32LJAkSZIkST0mCyRJkiRJUo/JAkmSJEmS1GOyQJIkSZIk9ZgskCRJkiRJPSYLJEmSJElSj8kCSZIkSZLUY7JAkiRJkiT1mCyQJEmSJEk9JgskSZIkSVKPyYIZkOQTSQ5bi/WOTLL7Ooph2yR/PY1685K8ahr1FiY5a13EJkmSJEma3UwWzCJV9bGq+sE6am5bYMpkATAPmDJZMCxJNhx2DJIkSZL0eGOyYB1JckSSG5P8ENi+lT0rydlJliW5OMkOSbZIcmuSDVqdzZLclmSjJKcm2buVL0hyaZIVSa5IMjfJhkmOTrIkycok71hNSJ8Ddk5yVZL3J9k0ySlJrk5yZZJdk2wMHAns2+rtm+RFSS5rdS5Nsv0093+zJF9psV6Z5PWtfP8k323H4aYknx9YZ4+2reVJTk+yeSu/JclRSZYD+7RjsbLFeHSSa1q9i5LMG2jvh0meP/2zJkmSJEmayJxhB/BYkGQ+8Ca6p/RzgOXAMuAk4JCquinJTsAJVbVbkquAlwMXAK8BFlfVr5KMtbcxsAjYt6qWJHkS8ABwEHB3VS1IsglwSZJzqurmCcI6HDisql7T2vwgUFW1Y5IdgHOA7YCPASNV9e5W70nAzlX16zYk4jPAG6ZxGI4Azq+qA5NsCVyRZKyXxDzgBcCDwA1Jjmv78xFg96q6L8mHgQ/QJS8AflZVL2wxXQO8vaouS/K5gW3+E7A/8L4k2wGbVtWK8YElORg4GGDrrbdmdHR0Gruj2WTVqlWeNw2N158Abl8+nO3O3c7rT8Pj3z8Ni9fe7GCyYN3YGTijqu4HSHImsCnwEuD0sSQAsEn7vQjYly5Z8CbghHHtbQ/cXlVLAKrqntbuHsDzxnofAFsAzwEmShaM9zLguNbe9UlupUsWjLcF8NUkzwEK2GgabQPsAbxuYK6GTYFntM/nVdXdbR+uA54JbAk8ly7hAbAxcNlAe4ta/S2BuVU1tuybdAkWgNOBjyb5EHAgcOpEgVXVSXSJG0ZGRmrhwoXT3CXNFqOjo3jeNCxefwL41F8MZ7s7n+v1p+Hx75+GxWtvdjBZMHM2AO6qqnkTLDsT+EySrYD5wPnTbDPAoVW1eB3FOJFPARdU1V5JtgVGp7legDdU1Q29wq5HxYMDRQ/RXXcBzq2q/SZp776pNlhV9yc5F3g98Ea6YylJkiRJ+h05Z8G6cRGwZ5InJJkLvBa4H7g5yT4A6TwfoKpWAUuAY4Czquqhce3dAGyTZEFbd26SOcBi4J1JNmrl2yXZbJKY7gXmDny/GHjz2Hp0T/1vmKDeFsBP2uf91+AYLAYOTesmkOQFU9S/HHhpkme3+pu1uHqq6i7g3pZ0gK4nxqCTgWOBJVV15xrEK0mSJEmahMmCdaCqltN1m18B/CtdIgC6m/ODkqwArqV7Aj5mEfCW9nt8e7+kG6ZwXFv3XLpu/ScD1wHL2zj+E5m8d8hK4KE2QeL76YY6bJDk6rbN/avqQbqhEM8dm+AQ+Dzw2SRXrqbtiXyKbsjCyiTXtu+Tqqo76JIRpyVZSTcEYYdJqh8E/GOb62Ez4O6BdpYB9wCnrEGskiRJkqTVcBjCOlJVnwY+PcGiv5yk/rfpuuIPlu0/8HkJ8OIJVv3f7WeqeH4F7Dau+IAJ6v0cWDCuePAJ/0davVFWMyShqh4AfuvtDFV1KgNzCYxNuNg+nz/BtqmqbccVXVtVzwNIcjiwdGxBkqfRJb3OmSw2SZIkSdKasWeBHg1e3Xo+XEM3meTfASR5K/Aj4Iiq+s0wA5QkSZKkxxJ7FjzKJdkR+Pq44geraqeJ6q+D7R0AvHdc8SVV9a6Z2B5AVS1i4uEaXwO+NlPblSRJkqTHK5MFj3JVdTUw0RsXZmp7p+D8AJIkSZL0mOYwBEmSJEmS1GOyQJIkSZIk9ZgskCRJkiRJPSYLJEmSJElSj8kCSZIkSZLU49sQJEmSpvDRXw1nu6Ojw9muJEn2LJAkSZIkST0mCyRJkiRJUo/JAkmSJEmS1GOyQJIkSZIk9ZgskCRJkiRJPSYLJEmSJElSj8kCSZIkSZLUY7JAkiRJkiT1mCyQJEmSJEk9JgskSZIkSVKPyQJJkiRJktRjskCSJEmSJPWYLJAkSZIkST0mCyRJkiRJUo/JAkmSJEmS1GOyQJIkSZIk9ZgskCRJkiRJPSYLJEmSJElSz5xhByBJkqTm3nuHHYEkSYA9CyRJkiRJ0jgmCyRJkiRJUo/JAkmSJEmS1GOyQJIkSZIk9ZgskCRJkiRJPSYLJEmSJElSj8kCSZIkSZLUY7JAkiRJkiT1mCyQJEmSJEk9JgskSZIkSVKPyQJJkiRJktSzxsmCJJ9IctharHdkkt3XdD3NnMFzkuTkJM9dy3a2TXLNWq47kuTYtVz33Un+PUklecratCFJkiRJ+m1z1teGqupj62tbayNJgFTVb4Ydy7qWZMOqemh8+eA5qaq/Xb9RPbzdpcDStVz9EuAsYHSdBSRJkiRJml7PgiRHJLkxyQ+B7VvZs5KcnWRZkouT7JBkiyS3Jtmg1dksyW1JNkpyapK9W/mCJJcmWZHkiiRzk2yY5OgkS5KsTPKO1cSzeZLzkixPcnWS17fyzyV510C9h3tBJPnQQNufbGXbJrkhydeAa4A/SvKlJEuTXDtWr9V9VZLr2/4em+SsgX38StuPK8dimSTu/ZN8L8lokpuSfHxg2QeSXNN+3jcQ83va5y8mOb993i3JN9rnPZJc1o7F6Uk2b+W3JDkqyXJgn0niGTwno0lG2uf92nG9JslRk6w7v52/FcDgMZ/wPCb5VpJXj992koUDx3LzJKe0ba9M8obV7WNVXVlVt0x2vCVJkiRJa2fKngVJ5gNvAua1+suBZcBJwCFVdVOSnYATqmq3JFcBLwcuAF4DLK6qX3UP7iHJxsAiYN+qWpLkScADwEHA3VW1IMkmwCVJzqmqmycI6xfAXlV1T+t+fnmSM1u7/wAc3+q9EXhFkj2A5wAvAgKcmWQX4Met/G1VdXmL74iq+nmSDYHzkjwPuBE4Edilqm5OctpALEcA51fVgUm2BK5I8oOqum+SQ/oi4M+A+4ElSb4PFHAAsFOL70dJLgQuBj4IHAuMAJsk2QjYGbio7ftHgN2r6r4kHwY+ABzZtvWzqnrhJHFMKMnTgKOA+cCdwDlJ9qyqf05yMvDl1hvgFODdVXVRkqMHmpjwPNKdmzcC32/XwJ8D72z7POajbd0dWyxPnsY+TmefDgYOBth6660ZHR1dk0OiWWDVqlWeNw2N15+G6ef/tYrTvjA67DAmtc38YUegmeTfPw2L197sMJ1hCDsDZ1TV/QDtpnxT4CXA6WNJAGCT9nsRsC9dsuBNwAnj2tseuL2qlgBU1T2t3T2A54096Qa2oLuRnyhZEOAz7Yb/N8DTga2r6sokT203vL8P3FlVtyV5L7AHcGVbf/PW9o+BW8cSBc0b283lHGAb4Ll0PTD+YyBxcRrt5rO1+7o8Mo/DpsAzgH+bIG6Ac6vqZ22fvwu8jC5ZcMZYgqGV7wx8CZjfEioP0iVqRtqy9wAvbvFd0s7DxsBlA9taNEkMq7MAGK2qO1os3wB2Af55bKhCS4psWVUXtXW+Drxy4HhMdB7/FTimJRD+Erioqh4YuH4Adqe7ZgCoqjuTvGaKfZxSVZ1El9xiZGSkFi5cuCaraxYYHR3F86Zh8frTMJ32hVFuPGzhsMOY1H417Ag0k/z7p2Hx2psd1nbOgg2Au6pq3gTLzqS7kd+K7un0+dNsM8ChVbV4GnXfTJcMmN96LdxCd5MOcDqwN/AHPHKzHOCzVXVib4PJtsB9A9//GDgMWNBuVE8daHd1cb+hqm6YRtzQJQZW9/2RBd2+3QzsD1wKrAR2BZ5Nl4x4Fl3yYb9Jmpisd8NMmvQ8JhkFXkGXTPrWGrS3un2UJEmSJK1j05mz4CJgzyRPSDIXeC1dF/qbk+wD3eSASZ4PUFWrgCXAMcBZE0ysdwOwTZIFbd25SeYAi4F3tm72JNkuyWaTxLQF8NN2M70r8MyBZYvonk7vTZc4oLV94MB4/qcneeoE7T6J7gb77iRb88jT8huAP2nJBehudscsBg5Ne+yd5AWTxDzmL5JsleQJwJ50k/RdTHeMn9j2ea9WRvt9GN15uBg4BLiyqgq4HHhpkme3bW+WZLsptj+VK4CXJ3lKG4qxH3DhYIWqugu4K8nLWtGbBxav7jwuohtusTNw9gTbPpf+/AdPnqF9lCRJkiStxpTJgqpaTneTt4KuK/mStujNwEFtgrtrgcGJ/RYBb2GCbvBV9Uu6m+3j2rrn0j29Pxm4Dlie7jV8JzJ5z4dvACNJrgbeClw/0P61wFzgJ1V1eys7B/gmcFlb59utzvjYVtANVbi+1b+klT8A/A/g7CTLgHuBu9tqnwI2AlYmubZ9X50rgO/Q9RL4TlUtbcf41LbsR8DJVTU2ZOJiuuEQl1XVf9HN13Bxi+sOul4HpyVZSdc9f4cptr9a7ZgdTjeMZAWwrKq+Bw+/XnGkVT0AOL7NUTE4lmB15/EcuvksftCug/H+DnhyuokVVwC7rm4fk7wnyX8Cf0h3/E/+XfZdkiRJktRJ94BaU0myeVWtaj0IjgduqqovrmEb+wMjVfXumYhRUxsZGamlS9f2TY0aFsetaZi8/jRMs33Ogo/738jHNP/+aVi89mZWkmVVNTJVvWm9OlEAvL09Rb+WbhjEiVPUlyRJkiTpUWltJzhcL5LsSDfT/qAHq2qnierPpNaLYFo9CZK8gu71g4Nurqq96IYbrFdJjgdeOq74mKo6ZX3HIkmSJEma/WZ1sqCqrgYmeuPCrNbeBDCdtzqsF1X1rqlrSZIkSZLUcRiCJEmSJEnqMVkgSZIkSZJ6TBZIkiRJkqQekwWSJEmSJKnHZIEkSZIkSeqZ1W9DkCRJejzbZj7sV8OOQpL0eGTPAkmSJEmS1GOyQJIkSZIk9ZgskCRJkiRJPSYLJEmSJElSj8kCSZIkSZLUY7JAkiRJkiT1mCyQJEmSJEk9JgskSZIkSVKPyQJJkiRJktRjskCSJEmSJPWYLJAkSZIkST0mCyRJkiRJUo/JAkmSJEmS1GOyQJIkSZIk9ZgskCRJkiRJPSYLJEmSJElSj8kCSZIkSZLUY7JAkiRJkiT1zBl2AJIkSY8L99477AgkSZo2exZIkiRJkqQekwWSJEmSJKnHZIEkSZIkSeoxWSBJkiRJknpMFkiSJEmSpB6TBZIkSZIkqcdkgSRJkiRJ6jFZIEmSJEmSekwWSJIkSZKkHpMFkiRJkiSpZ42TBUk+keSwtVjvyCS7r+l6mjmD5yTJyUmeu5btbJvkmrVcdyTJsWu57h8n+VGSf0+yKMnGa9OOJEmSJKlvvfUsqKqPVdUP1tf21lQ6j8meFkk2nKh88JxU1d9W1XXrNzKoqqVV9Z61XP0o4ItV9WzgTuCgdReZJEmSJD1+TevmOMkRSW5M8kNg+1b2rCRnJ1mW5OIkOyTZIsmtYzfdSTZLcluSjZKcmmTvVr4gyaVJViS5IsncJBsmOTrJkiQrk7xjNfFsnuS8JMuTXJ3k9a38c0neNVDv4V4QST400PYnW9m2SW5I8jXgGuCPknwpydIk147Va3VfleT6tr/HJjlrYB+/0vbjyrFYJol7/yTfSzKa5KYkHx9Y9oEk17Sf9w3E/J72+YtJzm+fd0vyjfZ5jySXtWNxepLNW/ktSY5KshzYZ5J4Bs/JaJKR9nm/dlyvSXLUJOvOb+dvBTB4zCc8j0m+leTV47edZOHAsdw8ySlt2yuTvGGyfUwSYDfg263JrwJ7TnbsJUmSJEnTN2eqCknmA28C5rX6y4FlwEnAIVV1U5KdgBOqarckVwEvBy4AXgMsrqpfdfd20LqKLwL2raolSZ4EPED3VPjuqlqQZBPgkiTnVNXNE4T1C2CvqronyVOAy5Oc2dr9B+D4Vu+NwCuS7AE8B3gREODMJLsAP27lb6uqy1t8R1TVz9vT+POSPA+4ETgR2KWqbk5y2kAsRwDnV9WBSbYErkjyg6q6b5JD+iLgz4D7gSVJvg8UcACwU4vvR0kuBC4GPggcC4wAmyTZCNgZuKjt+0eA3avqviQfBj4AHNm29bOqeuEkcUwoydPontjPp3taf06SPavqn5OcDHy5qpYCpwDvrqqLkhw90MSE55Hu3LwR+H67Bv4ceGfb5zEfbevu2GJ58mr28QTgrqr6dVv3P4GnT7JPBwMHA2y99daMjo6uySHRWrp92bpra5M/XMVpXxhddw1Ka8DrT8M0d/tV/ruloVm1yutPw+G1NztMmSyguzE9o6ruB2g35ZsCLwFOH0sCAJu034uAfemSBW+iu6kbtD1we1UtAaiqe1q7ewDPG3vSDWxBdyM/UbIgwGfaDf9v6G4St66qK5M8td3w/j5wZ1XdluS9wB7AlW39zVvbPwZuHUsUNG9sN5dzgG2A59L1wPiPgcTFabSbz9bu6/LIPA6bAs8A/m2CuAHOraqftX3+LvAyumTBGWMJhla+M/AlYH5LqDxIl6gZacveA7y4xXdJOw8bA5cNbGvRJDGszgJgtKruaLF8A9gF+Oeq+ttWtiWwZVVd1Nb5OvDKgeMx0Xn8V+CYlkD4S+Ciqnpg4PoB2J3umgGgqu5M8pop9nFKVXUSXXKLkZGRWrhw4ZqsrrX0yV3XXVvb/f0oNx62cN01KK0Brz8N08svGMV/tzQso6NefxoOr73ZYTrJgolsQPdUd94Ey86ku5Hfiu7p9PnTbDPAoVW1eBp130yXDJjfei3cQneTDnA6sDfwBzxysxzgs1V1Ym+DybbAfQPf/xg4DFjQblRPHWh3dXG/oapumEbc0CUGVvf9kQXdvt0M7A9cCqwEdgWeTZeMeBZd8mG/SZqYrHfDTJr0PCYZBV5Bl0z61hq091v72IYhbJlkTutd8IfAT36XwCVJkiRJnenMWXARsGeSJySZC7yWrgv9zUn2gYcnB3w+QFWtApYAxwBnVdVD49q7AdgmyYK27twkc4DFwDtbN3uSbJdks0li2gL4abuZ3hV45sCyRXRPp/emSxzQ2j5wYDz/05M8dYJ2n0R3g313kq155Gn5DcCftOQCdDe7YxYDh7abV5K8YJKYx/xFkq2SPIFujP0ldMMN9kzyxLbPe7Uy2u/D6M7DxcAhwJVVVcDlwEuTPLtte7Mk202x/alcAbw8yVPaUIz9gAsHK1TVXcBdSV7Wit48sHh153ER3XCLnYGzJ9j2ufTnP3jyZPvY9v8CuvMM8Dbge2u5z5IkSZKkAVMmC6pqOd1N3gq6ruRL2qI3Awelm+DuWmBwYr9FwFuYoBt8Vf2S7mb7uLbuuXRP708GrgOWp3sN34lM3vPhG8BIkquBtwLXD7R/LTAX+ElV3d7KzgG+CVzW1vl2qzM+thV0QxWub/UvaeUPAP8DODvJMuBe4O622qeAjYCVSa5t31fnCuA7dL0EvtPeBrAcOLUt+xFwclWNDZm4mG44xGVV9V908zVc3OK6g67XwWlJVtJ1z99hiu2vVjtmh9PdiK8AllXV9+Dh1yuOtKoHAMe3OSoGxxKs7jyeQzefxQ/adTDe3wFPTjex4gpg1yn28cPAB5L8O/B7wD/9LvsuSZIkSeqke0CrqSTZvKpWtR4ExwM3VdUX17CN/YGRqnr3TMSoqY2MjNTS59NV7gAAFvdJREFUpUuHHcbjwiczdZ3pcsy4hsnrT8PknAUaJseNa1i89mZWkmVVNTJVvWm9OlEAvL09Rb+WbhjEiVPUlyRJkiTpUWltJzhcL5LsSDfT/qAHq2qnierPpNaLYFo9CZK8gu71g4Nurqq96IYbrFdJjgdeOq74mKo6ZX3HIkmSJEma/WZ1sqCqrgYmeuPCrNbeBDCdtzqsF1X1rqlrSZIkSZLUcRiCJEmSJEnqMVkgSZIkSZJ6TBZIkiRJkqQekwWSJEmSJKnHZIEkSZIkSeqZ1W9DkPTo9fFad22NjsJ+67A9aU14/WmYRkeHHYEk6fHKngWSJEmSJKnHZIEkSZIkSeoxWSBJkiRJknpMFkiSJEmSpB6TBZIkSZIkqcdkgSRJkiRJ6jFZIEmSJEmSekwWSJIkSZKkHpMFkiRJkiSpx2SBJEmSJEnqMVkgSZIkSZJ6TBZIkiRJkqQekwWSJEmSJKnHZIEkSZIkSeoxWSBJkiRJknpMFkiSJEmSpB6TBZIkSZIkqcdkgSRJkiRJ6pkz7AAkSZIE3HvvsCOQJOlh9iyQJEmSJEk9JgskSZIkSVKPyQJJkiRJktRjskCSJEmSJPWYLJAkSZIkST0mCyRJkiRJUo/JAkmSJEmS1GOyQJIkSZIk9ZgskCRJkiRJPSYLJEmSJElSj8mC1UjyiSSHrcV6RybZfSZikiRJkiRpps0ZdgCPRVX1sWHHsDpJAqSqfjPsWNa1JBtW1UPDjkOSJEmSHs3sWTBOkiOS3Jjkh8D2rexZSc5OsizJxUl2SLJFkluTbNDqbJbktiQbJTk1yd6tfEGSS5OsSHJFkrlJNkxydJIlSVYmecdq4tk8yXlJlie5OsnrW/nnkrxroN7DvSCSfGig7U+2sm2T3JDka8A1wB8l+VKSpUmuHavX6r4qyfVtf49NctbAPn6l7ceVY7FMEvf+Sb6XZDTJTUk+PrDsA0muaT/vG4j5Pe3zF5Oc3z7vluQb7fMeSS5rx+L0JJu38luSHJVkObDPdM+1JEmSJGli9iwYkGQ+8CZgHt2xWQ4sA04CDqmqm5LsBJxQVbsluQp4OXAB8BpgcVX9qntwD0k2BhYB+1bVkiRPAh4ADgLurqoFSTYBLklyTlXdPEFYvwD2qqp7kjwFuDzJma3dfwCOb/XeCLwiyR7Ac4AXAQHOTLIL8ONW/raqurzFd0RV/TzJhsB5SZ4H3AicCOxSVTcnOW0gliOA86vqwCRbAlck+UFV3TfJIX0R8GfA/cCSJN8HCjgA2KnF96MkFwIXAx8EjgVGgE2SbATsDFzU9v0jwO5VdV+SDwMfAI5s2/pZVb1woiCSHAwcDLD11lszOjo6SbiarVatWuV509B4/Wl9G+z3d9/9Xn8aHv/+aVi89mYHkwV9OwNnVNX9AO2mfFPgJcDpY0kAYJP2exGwL12y4E3ACePa2x64vaqWAFTVPa3dPYDnjfU+ALagu5GfKFkQ4DPthv83wNOBravqyiRPTfI04PeBO6vqtiTvBfYArmzrb97a/jFw61iioHlju5GeA2wDPJeut8l/DCQuTqPdaLd2Xzcwj8OmwDOAf5sgboBzq+pnbZ+/C7yMLllwxliCoZXvDHwJmN8SKg/SJWpG2rL3AC9u8V3SzsPGwGUD21o0SQxU1Ul0CR9GRkZq4cKFk1XVLDU6OornTcPi9af17cF7H/l82TKvPw2Pf/80LF57s4PJgqltANxVVfMmWHYm3Y38VsB84Pxpthng0KpaPI26b6ZLBsxvvRZuobtJBzgd2Bv4Ax65WQ7w2ao6sbfBZFvgvoHvfwwcBiyoqjuTnDrQ7urifkNV3TCNuKFLDKzu+yMLun27GdgfuBRYCewKPJsuGfEsuuTDfpM0MVnvBkmSJEnSGnLOgr6LgD2TPCHJXOC1dF3ob06yD3STAyZ5PkBVrQKWAMcAZ00wsd4NwDZJFrR15yaZAywG3tm62ZNkuySbTRLTFsBP2830rsAzB5YtouvRsDdd4oDW9oED4/mfnuSpE7T7JLob7LuTbA28ciDmP2nJBeh6ToxZDBya9mg/yQsmiXnMXyTZKskTgD2BS+iGG+yZ5Iltn/dqZbTfh9Gdh4uBQ4Arq6qAy4GXJnl22/ZmSbabYvuSJEmSpLVgz4IBVbU8ySJgBfBTukQAdE/3v5TkI8BGwLdaHehu2E8HFk7Q3i+T7Asc126YHwB2B04GtgWWtxvvO+hupifyDeBfklwNLAWuH2j/2pbU+ElV3d7Kzknyp8Bl7Z5+FfAWoJfIqKoVSa5s7d1GdyNPVT2Q5H8AZye5b+AYAHyKbp6ElekmdryZbq6GyVwBfAf4Q+D/raqlAK0XwxWtzslVNTZk4mK6eREua/MS/KKVUVV3JNkfOK3N8wDdHAY3rmb7kiRJkqS1YLJgnKr6NPDpCRb95ST1v03XPX+wbP+Bz0voxtuP97/bz1Tx/Dfw/6xm+Y4TlB1D19thvD+bLM5xLqiqHVoi43i6JAVV9QAw6ZsbJvCfVfVbSZCq+j/A/5mg/Dy6ZMzY9+3GLT8fWDDBetuuQUySJEmSpCk4DEETeXt708O1dMMgTpyiviRJkiTpMcSeBbNEkh2Br48rfrCqdlrfsVTVF4EvTqduklcAR40rvrmq9gJOXcehSZIkSZLWA5MFs0RVXQ1M9MaFWa290WE6b3WQJEmSJD1KOAxBkiRJkiT1mCyQJEmSJEk9JgskSZIkSVKPyQJJkiRJktRjskCSJEmSJPX4NgRJkqRZZJO5w45AkiR7FkiSJEmSpHFMFkiSJEmSpB6TBZIkSZIkqcdkgSRJkiRJ6jFZIEmSJEmSekwWSJIkSZKkHpMFkiRJkiSp5/9v786D9brLOoB/H1JogVSwLKHQSqsUsSBLm7LqmJTFUrFFpmiZyj5EGJZ2hkEouIwjzCCMooA6lEUqdiZAEBsLArVNsMh0X0lbpCOgQFllaaBQGh//eE/pPTHLTejNSe79fGYyOcvvPe9zkmfeue/3/M65wgIAAABgRFgAAAAAjAgLAAAAgBFhAQAAADAiLAAAAABGhAUAAADAiLAAAAAAGBEWAAAAACPCAgAAAGBEWAAAAACMCAsAAACAkf2mLgAA4A53001TVwAA+zQzCwAAAIARYQEAAAAwIiwAAAAARoQFAAAAwIiwAAAAABgRFgAAAAAjwgIAAABgRFgAAAAAjAgLAAAAgBFhAQAAADAiLGDBVNVpVXW3nYz5aFXdczeP/96qOmn3qgMAAGB7hAUspNOS7DAs6O7ju/s7e6geAAAA5kFYsMRV1XOq6uqquqqq3ldVh1XV+cO286rq54Zxo6v4VbV5+HtVVW2sqnVVdX1VnVUzr0hy/yQbqmrDDt7/C1V172H5n6rqsqraVFVr5r5XVb1hqPHCqlqxjeP86VDjsjvuXwcAAGBpqu6eugYmUlUPTfLhJI/v7m9W1UFJzkyyrrvPrKoXJDmhu59eVe9Nck53rxteu7m7l1fVqiRnJ3lokq8k+fckr+ruT1XVF5Ks7O5v7qCGn4ypqoO6+3+q6q5JLknya939rarqoY5/rqo3Jfled7/+tpqSPCbJgUle0tto6CF4WJMkK1asOHrt2rU/5b8ce9rmzZuzfPnyqctgidJ/TOmmmzZn+d33/f4rl6f2ST7/mIreW1irV6++rLtX7mzcfnuiGPZaxyb54G1f5ocv6o9L8oxh//uSvGkex7m4u7+UJFV1ZZLDknxqN+p5RVX91rB8aJIjknwryS2ZhQJJclmSJ895zR8muai712Q7uvuMJGckycqVK3vVqlW7URpT2rhxY/y/MRX9x5Q2nL8xjz9m1dRl/NT2P3DqCtgdPv+Yit7bO8h5ma9bM/RLVd0pyV3m7PvRnOUt2Y0Qapih8KQkj+vuRyS5IskBw+4fz5kxsPXxL0ly9DArAgAAgDuAsGBpOz/JM6vqXkkyfOH+dJKTh/2nJLlgWP5CkqOH5ROS3Hkex78ps9sD5uMeSb7d3T+oqockeew8X/exJG9M8pGqct0CAADgDuA2hCWsuzdV1RuSfLKqtmR2Nf/lSf6uql6V5BtJnj8Mf2eSs6vqqsy+oH9/Hm9xRpKPVdVXunv1jkoZjvniqrouyWeTXLgL5/HBIShYX1XHd/fN830tAAAA/5+wYInr7jMze6jhXMduY9zXMr7a/+ph+8YkG+eMe9mc5bcledv23nv4zQUHZvbAwh8neep2alw+Z3ldknXD8vPmbH9Pkvds770AAACYP7chMKVNSd41BAUAAADsJcwsYI+oqouS7L/V5md29zVT1AMAAMD2CQvYI7r7MVPXAAAAwPy4DQEAAAAYERYAAAAAI8ICAAAAYERYAAAAAIwICwAAAIARvw0BAGAvVXdK9j9w6ioAWIrMLAAAAABGhAUAAADAiLAAAAAAGBEWAAAAACPCAgAAAGBEWAAAAACMCAsAAACAEWEBAAAAMCIsAAAAAEaEBQAAAMCIsAAAAAAYERYAAAAAI8ICAAAAYERYAAAAAIwICwAAAIARYQEAAAAwIiwAAAAARoQFAAAAwIiwAAAAABgRFgAAAAAjwgIAAABgRFgAAAAAjAgLAAAAgBFhAQAAADAiLAAAAABGhAUAAADAiLAAAAAAGBEWAAAAACPCAgAAAGBEWAAAAACMCAsAAACAEWEBAAAAMCIsAAAAAEaqu6euARZUVa1JsiZJVqxYcfTatWsnrohdtXnz5ixfvnzqMlii9B9T0n9MSf8xFb23sFavXn1Zd6/c2ThhAUvKypUr+9JLL526DHbRxo0bs2rVqqnLYInSf0xJ/zEl/cdU9N7Cqqp5hQVuQwAAAABGhAUAAADAiLAAAAAAGBEWAAAAACPCAgAAAGBEWAAAAACMCAsAAACAEWEBAAAAMCIsAAAAAEaEBQAAAMCIsAAAAAAYERYAAAAAI8ICAAAAYERYAAAAAIwICwAAAIARYQEAAAAwIiwAAAAARoQFAAAAwIiwAAAAABgRFgAAAAAjwgIAAABgRFgAAAAAjAgLAAAAgBFhAQAAADAiLAAAAABGhAUAAADAiLAAAAAAGBEWAAAAACPCAgAAAGBEWAAAAACMCAsAAACAEWEBAAAAMCIsAAAAAEaEBQAAAMCIsAAAAAAYERYAAAAAI8ICAAAAYERYAAAAAIwICwAAAIARYQEAAAAwIiwAAAAARoQFAAAAwIiwAAAAABgRFgAAAAAj1d1T1wB7TFV9I8kXp66DXXbvJN+cugiWLP3HlPQfU9J/TEXvLawHdvd9djZIWADs9arq0u5eOXUdLE36jynpP6ak/5iK3ts7uA0BAAAAGBEWAAAAACPCAmBfcMbUBbCk6T+mpP+Ykv5jKnpvL+CZBQAAAMCImQUAAADAiLAA2OtV1Surqqvq3sN6VdVbq+qGqrq6qo6aukYWn6p6c1VdP/TYh6vqnnP2nT7032er6tenrJPFqaqOG/rrhqp6zdT1sLhV1aFVtaGqrq2qTVV16rD9oKo6t6o+N/z9s1PXyuJVVcuq6oqqOmdYP7yqLho+B99fVXeZusalRlgA7NWq6tAkT0nyX3M2PzXJEcOfNUn+doLSWPzOTfKw7n54kv9IcnqSVNWRSU5O8tAkxyX5m6paNlmVLDpDP/11Zp91RyZ51tB3sFBuTfLK7j4yyWOTvHToudckOa+7j0hy3rAOC+XUJNfNWf+zJG/p7gcl+XaSF05S1RImLAD2dm9J8vtJ5j5g5cQkf98zFya5Z1UdPEl1LFrd/YnuvnVYvTDJIcPyiUnWdvePuvvzSW5I8ugpamTRenSSG7r7P7v7liRrM+s7WBDdfWN3Xz4s35TZF7YHZNZ3Zw7Dzkzy9GkqZLGrqkOS/EaSdw3rleTYJOuGIfpvAsICYK9VVScm+XJ3X7XVrgck+e85618atsFCeUGSfxmW9R8LTY8xmao6LMmjklyUZEV33zjs+mqSFROVxeL3l5ldHPrfYf1eSb4zJ7T3OTiB/aYuAFjaqupfk9xvG7tel+S1md2CAAtiR/3X3WcPY16X2RTds/ZkbQB7WlUtT/KhJKd19/dmF3dnururyq9R4w5XVU9L8vXuvqyqVk1dD7cTFgCT6u4nbWt7Vf1yksOTXDX8sHJIksur6tFJvpzk0DnDDxm2wS7ZXv/dpqqel+RpSZ7Yt/+uYf3HQtNj7HFVdefMgoKzuvsfh81fq6qDu/vG4Xa/r09XIYvYE5KcUFXHJzkgyc8k+avMbjPdb5hd4HNwAm5DAPZK3X1Nd9+3uw/r7sMym352VHd/Ncn6JM8ZfivCY5N8d840SbhDVNVxmU2JPKG7fzBn1/okJ1fV/lV1eGYP2rx4ihpZtC5JcsTwJPC7ZPZAzfUT18QiNtwf/u4k13X3X8zZtT7Jc4fl5yY5e0/XxuLX3ad39yHDz3snJzm/u09JsiHJScMw/TcBMwuAfdFHkxyf2YPlfpDk+dOWwyL19iT7Jzl3mN1yYXe/uLs3VdUHklyb2e0JL+3uLRPWySLT3bdW1cuSfDzJsiTv6e5NE5fF4vaEJM9Ock1VXTlse22SNyb5QFW9MMkXk/z2RPWxNL06ydqqen2SKzILtNiD6vZZlQAAAABuQwAAAAC2IiwAAAAARoQFAAAAwIiwAAAAABgRFgAAAAAjwgIAYJ9UVVuq6sqq+kxVfbCq7jZRHafN572ralVVnTMsn1BVrxmW71NVF1XVFVX1q1X1zKq6rqo2LHTtALA9wgIAYF91c3c/srsfluSWJC+e7wuratkdWMdpSXYpqOju9d39xmH1iUmu6e5HdfcFSV6Y5EXdvXo+x6qq/XapWgCYB2EBALAYXJDkQUlSVb9bVRcPsw7ecVswUFWbq+rPq+qqJI+rqmOq6tNVddUw/sCqWlZVb66qS6rq6qr6veG1q6pqY1Wtq6rrq+qsmnlFkvsn2bCtmQBVddww/vIkz5iz/XlV9faqemSSNyU5caj3j5P8SpJ3D3XsqJ4Lqmp9kmvncd5vGM7zwqpaMWxfUVUfHrZfVVWP39FxAFhahAUAwD5tuLL+1CTXVNUvJfmdJE/o7kcm2ZLklGHo3ZNc1N2PSHJxkvcnOXVYf1KSmzO7qv/d7j4myTFJXlRVhw+vf1RmswiOTPLzw3u8NclXkqzeeiZAVR2Q5J1JfjPJ0Unut3Xt3X1lkj9K8v5hlsSfJLk0ySnd/aqd1HPUUP+D53HeFw7n+W9JXjRsf2uSTw7bj0qyaSfHAWAJMW0NANhX3bWqrhyWL0jy7iRrMvtifklVJcldk3x9GLMlyYeG5V9McmN3X5Ik3f29JKmqpyR5eFWdNIy7R5IjMrvN4eLu/tIw7sokhyX51A7qe0iSz3f354bX/MNQ367YWT2fH7Y/cQfnfUuSc4bly5I8eVg+NslzkqS7tyT5blU9ewfHAWAJERYAAPuqm4er3z9Rs2+4Z3b36dsY/8PhS/GOVJKXd/fHtzruqiQ/mrNpS/bMz1E7quf7W43b3nn/uLt7WN5Z3Ts6DgBLiNsQAIDF5LwkJ1XVfZOkqg6qqgduY9xnkxxcVccM4w4cbmf4eJKXVNWdh+0Prqq77+Q9b0py4Da2X5/ksKr6hWH9Wbt+OvOuZ77nvfVrXjKMX1ZV99jN4wCwCAkLAIBFo7uvTfIHST5RVVcnOTfJwdsYd0tm9+a/bXjg4blJDkjyrsweGHh5VX0myTuy8xkEZyT52NYPOOzuH2Z228FHhgcc7s50/nnVM9/z3sqpSVZX1TWZ3Z5w5G4eB4BFqG6flQYAAABgZgEAAACwFWEBAAAAMCIsAAAAAEaEBQAAAMCIsAAAAAAYERYAAAAAI8ICAAAAYERYAAAAAIz8H5nElKtRSiGuAAAAAElFTkSuQmCC\n",
"text/plain": [
"<Figure size 1080x936 with 1 Axes>"
]
},
"metadata": {
"needs_background": "light"
},
"output_type": "display_data"
},
{
"data": {
"image/png": 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\n",
"text/plain": [
"<Figure size 1080x648 with 1 Axes>"
]
},
"metadata": {
"needs_background": "light"
},
"output_type": "display_data"
},
{
"data": {
"image/png": 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\n",
"text/plain": [
"<Figure size 1080x648 with 1 Axes>"
]
},
"metadata": {
"needs_background": "light"
},
"output_type": "display_data"
},
{
"data": {
"image/png": 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