2024-08-21 17:00:18 +00:00
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{
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"cells": [
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{
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"cell_type": "code",
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2024-08-26 15:45:29 +00:00
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"execution_count": 371,
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2024-08-21 17:00:18 +00:00
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"metadata": {},
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"outputs": [],
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"source": [
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"# Using plotly\n",
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"import plotly.graph_objects as go\n",
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"import numpy as np"
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"Define data"
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]
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},
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{
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"cell_type": "code",
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2024-08-26 15:45:29 +00:00
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"execution_count": 372,
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2024-08-23 16:05:06 +00:00
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"metadata": {},
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"outputs": [
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{
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"data": {
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"text/html": [
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"<div>\n",
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"<style scoped>\n",
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" .dataframe tbody tr th:only-of-type {\n",
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" vertical-align: middle;\n",
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" }\n",
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"\n",
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" .dataframe tbody tr th {\n",
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" vertical-align: top;\n",
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" }\n",
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"\n",
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" .dataframe thead th {\n",
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" text-align: right;\n",
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" }\n",
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"</style>\n",
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"<table border=\"1\" class=\"dataframe\">\n",
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" <thead>\n",
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" <tr style=\"text-align: right;\">\n",
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" <th></th>\n",
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" <th>start</th>\n",
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" <th>end</th>\n",
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" <th>name</th>\n",
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" <th>order</th>\n",
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" <th>comment</th>\n",
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2024-08-26 15:45:29 +00:00
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" <th>size</th>\n",
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" <th>overlap</th>\n",
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" <th>overlap_with</th>\n",
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" </tr>\n",
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" </thead>\n",
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" <tbody>\n",
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" <tr>\n",
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" <th>0</th>\n",
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" <td>0</td>\n",
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" <td>131072</td>\n",
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" <td>BootROM</td>\n",
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" <td>NaN</td>\n",
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" <td>NaN</td>\n",
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2024-08-26 15:45:29 +00:00
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" <td>131072</td>\n",
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" <td>True</td>\n",
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2024-08-25 18:00:07 +00:00
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" <td>0.0</td>\n",
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" </tr>\n",
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" <tr>\n",
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" <th>1</th>\n",
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" <td>704</td>\n",
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2024-08-26 15:45:29 +00:00
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" <td>708</td>\n",
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" <td>_jump_bl1</td>\n",
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" <td>NaN</td>\n",
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2024-08-23 16:05:06 +00:00
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" <td>NaN</td>\n",
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" <td>4</td>\n",
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2024-08-23 16:05:06 +00:00
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" <td>True</td>\n",
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" <td>0.0</td>\n",
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" </tr>\n",
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" <tr>\n",
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" <th>2</th>\n",
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" <td>25824</td>\n",
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2024-08-26 15:45:29 +00:00
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" <td>25996</td>\n",
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" <td>_boot_usb</td>\n",
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2024-08-23 16:05:06 +00:00
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" <td>NaN</td>\n",
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" <td>NaN</td>\n",
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2024-08-26 15:45:29 +00:00
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" <td>172</td>\n",
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2024-08-23 16:05:06 +00:00
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" <td>True</td>\n",
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" <td>0.0</td>\n",
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" </tr>\n",
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" <tr>\n",
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" <th>3</th>\n",
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" <td>75848</td>\n",
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2024-08-26 15:45:29 +00:00
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" <td>76008</td>\n",
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" <td>auth_bl1</td>\n",
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2024-08-23 16:05:06 +00:00
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" <td>NaN</td>\n",
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" <td>NaN</td>\n",
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2024-08-26 15:45:29 +00:00
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" <td>160</td>\n",
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2024-08-23 16:05:06 +00:00
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" <td>True</td>\n",
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" <td>0.0</td>\n",
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" </tr>\n",
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" <tr>\n",
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" <th>4</th>\n",
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2024-08-26 15:45:29 +00:00
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" <td>33689440</td>\n",
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" <td>33689448</td>\n",
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" <td>_boot_usb_ra</td>\n",
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2024-08-23 16:05:06 +00:00
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" <td>NaN</td>\n",
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" <td>NaN</td>\n",
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2024-08-26 15:45:29 +00:00
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" <td>8</td>\n",
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" <td>False</td>\n",
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" <td>4.0</td>\n",
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2024-08-23 16:05:06 +00:00
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" </tr>\n",
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" <tr>\n",
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" <th>5</th>\n",
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2024-08-26 15:45:29 +00:00
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" <td>33693696</td>\n",
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" <td>33701888</td>\n",
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" <td>BL1</td>\n",
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2024-08-23 16:05:06 +00:00
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" <td>NaN</td>\n",
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" <td>NaN</td>\n",
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2024-08-26 15:45:29 +00:00
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" <td>8192</td>\n",
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2024-08-23 16:05:06 +00:00
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" <td>False</td>\n",
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2024-08-25 18:00:07 +00:00
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" <td>5.0</td>\n",
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2024-08-23 16:05:06 +00:00
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" </tr>\n",
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" <tr>\n",
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" <th>6</th>\n",
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2024-08-26 15:45:29 +00:00
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" <td>33701888</td>\n",
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" <td>33849344</td>\n",
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" <td>BL31</td>\n",
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2024-08-23 16:05:06 +00:00
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" <td>NaN</td>\n",
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" <td>NaN</td>\n",
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2024-08-26 15:45:29 +00:00
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" <td>147456</td>\n",
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2024-08-23 16:05:06 +00:00
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" <td>False</td>\n",
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2024-08-25 18:00:07 +00:00
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" <td>6.0</td>\n",
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2024-08-23 16:05:06 +00:00
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" </tr>\n",
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" <tr>\n",
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" <th>7</th>\n",
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2024-08-26 15:45:29 +00:00
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" <td>33849344</td>\n",
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" <td>34008336</td>\n",
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" <td>BL2</td>\n",
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2024-08-23 16:05:06 +00:00
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" <td>NaN</td>\n",
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" <td>NaN</td>\n",
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2024-08-26 15:45:29 +00:00
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" <td>158992</td>\n",
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" <td>True</td>\n",
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2024-08-23 16:05:06 +00:00
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" <td>7.0</td>\n",
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" </tr>\n",
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" <tr>\n",
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2024-08-25 18:00:07 +00:00
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" <th>8</th>\n",
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2024-08-23 16:05:06 +00:00
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" <td>33984512</td>\n",
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2024-08-26 15:45:29 +00:00
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" <td>34009088</td>\n",
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" <td>Debugger</td>\n",
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2024-08-23 16:05:06 +00:00
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" <td>NaN</td>\n",
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" <td>NaN</td>\n",
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2024-08-26 15:45:29 +00:00
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" <td>24576</td>\n",
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2024-08-23 16:05:06 +00:00
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" <td>True</td>\n",
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2024-08-26 15:45:29 +00:00
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" <td>7.0</td>\n",
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2024-08-23 16:05:06 +00:00
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" </tr>\n",
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" <tr>\n",
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2024-08-25 18:00:07 +00:00
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" <th>9</th>\n",
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2024-08-26 15:45:29 +00:00
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" <td>34008336</td>\n",
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2024-08-23 16:05:06 +00:00
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" <td>34013184</td>\n",
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2024-08-26 15:45:29 +00:00
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" <td>End of readable memory space in buffer</td>\n",
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2024-08-23 16:05:06 +00:00
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" <td>NaN</td>\n",
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" <td>NaN</td>\n",
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2024-08-26 15:45:29 +00:00
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" <td>4848</td>\n",
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2024-08-23 16:05:06 +00:00
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" <td>True</td>\n",
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2024-08-25 18:00:07 +00:00
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" <td>8.0</td>\n",
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2024-08-26 15:45:29 +00:00
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" </tr>\n",
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" <tr>\n",
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" <th>10</th>\n",
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" <td>34340864</td>\n",
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" <td>34369536</td>\n",
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" <td>Debugger relocated</td>\n",
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" <td>NaN</td>\n",
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" <td>NaN</td>\n",
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" <td>28672</td>\n",
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" <td>True</td>\n",
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" <td>10.0</td>\n",
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" </tr>\n",
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" <tr>\n",
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" <th>11</th>\n",
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" <td>34340864</td>\n",
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" <td>34340868</td>\n",
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" <td>_frederic_dest_ptr</td>\n",
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" <td>NaN</td>\n",
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" <td>NaN</td>\n",
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" <td>4</td>\n",
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" <td>True</td>\n",
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" <td>10.0</td>\n",
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2024-08-23 16:05:06 +00:00
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" </tr>\n",
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" </tbody>\n",
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"</table>\n",
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"</div>"
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],
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"text/plain": [
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2024-08-26 15:45:29 +00:00
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" start end name order \\\n",
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"0 0 131072 BootROM NaN \n",
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"1 704 708 _jump_bl1 NaN \n",
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"2 25824 25996 _boot_usb NaN \n",
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"3 75848 76008 auth_bl1 NaN \n",
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"4 33689440 33689448 _boot_usb_ra NaN \n",
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"5 33693696 33701888 BL1 NaN \n",
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"6 33701888 33849344 BL31 NaN \n",
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"7 33849344 34008336 BL2 NaN \n",
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"8 33984512 34009088 Debugger NaN \n",
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"9 34008336 34013184 End of readable memory space in buffer NaN \n",
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"10 34340864 34369536 Debugger relocated NaN \n",
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"11 34340864 34340868 _frederic_dest_ptr NaN \n",
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"\n",
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" comment size overlap overlap_with \n",
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"0 NaN 131072 True 0.0 \n",
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"1 NaN 4 True 0.0 \n",
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"2 NaN 172 True 0.0 \n",
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"3 NaN 160 True 0.0 \n",
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"4 NaN 8 False 4.0 \n",
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"5 NaN 8192 False 5.0 \n",
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"6 NaN 147456 False 6.0 \n",
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"7 NaN 158992 True 7.0 \n",
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"8 NaN 24576 True 7.0 \n",
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"9 NaN 4848 True 8.0 \n",
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"10 NaN 28672 True 10.0 \n",
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"11 NaN 4 True 10.0 "
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]
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},
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2024-08-26 15:45:29 +00:00
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"execution_count": 372,
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2024-08-23 16:05:06 +00:00
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"metadata": {},
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"output_type": "execute_result"
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}
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],
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"source": [
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2024-08-25 18:00:07 +00:00
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"import pandas as pd\n",
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"data = pd.read_csv('stack_and_functions.csv')\n",
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"\n",
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"def convert_to_int(value):\n",
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" try:\n",
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" if isinstance(value, str) and value.startswith('0x'):\n",
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" return int(value, 16)\n",
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" else:\n",
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" return int(value)\n",
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" except ValueError:\n",
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" return value \n",
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"\n",
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"data['start'] = data['start'].apply(convert_to_int)\n",
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"data['end'] = data['end'].apply(convert_to_int)\n",
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2024-08-26 15:45:29 +00:00
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"data['size'] = data['end'] - data['start']\n",
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"\n",
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"data.sort_values(by=['size'], inplace=True, ascending=False)\n",
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"data.sort_values(by=['start'], inplace=True)\n",
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"data.reset_index(drop=True, inplace=True)\n",
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"\n",
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2024-08-25 18:00:07 +00:00
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"data['overlap'] = False\n",
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"\n",
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"for i, row in data.iterrows():\n",
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" for j, row2 in data.iterrows():\n",
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" if i == j:\n",
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" continue\n",
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2024-08-26 15:45:29 +00:00
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" if row['start'] <= row2['end'] and row['end'] > row2['start']:\n",
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" if row['end'] - row['start'] >= row2['end'] - row2['start']:\n",
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2024-08-25 18:00:07 +00:00
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" continue\n",
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" data.at[i, 'overlap'] = True\n",
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" data.at[j, 'overlap'] = True\n",
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" data.at[i, 'overlap_with'] = j\n",
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"\n",
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"data['overlap_with'] = data['overlap_with'].fillna(data.index.to_series())\n",
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"data['overlap_with'] = data['overlap_with'].astype(float)\n",
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2024-08-26 15:45:29 +00:00
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"\n",
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"# Send warnings if sizes are negative\n",
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"if (data['size'] < 0).any():\n",
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" print(f'Warning: Negative sizes detected at indices {data[data[\"size\"] < 0].index}')\n",
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2024-08-25 18:00:07 +00:00
|
|
|
"\n",
|
2024-08-23 16:05:06 +00:00
|
|
|
"data"
|
2024-08-21 17:00:18 +00:00
|
|
|
]
|
|
|
|
|
},
|
|
|
|
|
{
|
|
|
|
|
"cell_type": "markdown",
|
|
|
|
|
"metadata": {},
|
|
|
|
|
"source": [
|
2024-08-25 18:00:07 +00:00
|
|
|
"Inherent stacked block diagram"
|
2024-08-21 17:00:18 +00:00
|
|
|
]
|
|
|
|
|
},
|
|
|
|
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{
|
|
|
|
|
"cell_type": "code",
|
2024-08-26 15:45:29 +00:00
|
|
|
"execution_count": 373,
|
2024-08-21 17:00:18 +00:00
|
|
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"metadata": {},
|
|
|
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"outputs": [
|
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{
|
|
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"data": {
|
|
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|
"application/vnd.plotly.v1+json": {
|
|
|
|
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"config": {
|
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"plotlyServerURL": "https://plot.ly"
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},
|
|
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"data": [
|
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|
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{
|
2024-08-22 17:50:46 +00:00
|
|
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"marker": {
|
2024-08-26 15:45:29 +00:00
|
|
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"color": "#856446"
|
2024-08-22 17:50:46 +00:00
|
|
|
},
|
2024-08-21 17:00:18 +00:00
|
|
|
"mode": "text",
|
2024-08-22 17:50:46 +00:00
|
|
|
"name": "BootROM",
|
2024-08-21 17:00:18 +00:00
|
|
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"text": "BootROM",
|
|
|
|
|
"textposition": "middle center",
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|
|
|
|
"type": "scatter",
|
|
|
|
|
"x": [
|
2024-08-26 15:45:29 +00:00
|
|
|
2.5
|
2024-08-21 17:00:18 +00:00
|
|
|
],
|
|
|
|
|
"y": [
|
2024-08-25 18:00:07 +00:00
|
|
|
0.5
|
2024-08-21 17:00:18 +00:00
|
|
|
]
|
|
|
|
|
},
|
|
|
|
|
{
|
2024-08-22 17:50:46 +00:00
|
|
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"marker": {
|
2024-08-26 15:45:29 +00:00
|
|
|
"color": "#856446"
|
|
|
|
|
},
|
|
|
|
|
"mode": "text",
|
|
|
|
|
"showlegend": false,
|
|
|
|
|
"text": "0x20000",
|
|
|
|
|
"textposition": "middle center",
|
|
|
|
|
"type": "scatter",
|
|
|
|
|
"x": [
|
|
|
|
|
1.1400000000000001
|
|
|
|
|
],
|
|
|
|
|
"y": [
|
|
|
|
|
3.84
|
|
|
|
|
]
|
|
|
|
|
},
|
|
|
|
|
{
|
|
|
|
|
"marker": {
|
|
|
|
|
"color": "#856446"
|
|
|
|
|
},
|
|
|
|
|
"mode": "text",
|
|
|
|
|
"showlegend": false,
|
|
|
|
|
"text": "0x0",
|
|
|
|
|
"textposition": "middle center",
|
|
|
|
|
"type": "scatter",
|
|
|
|
|
"x": [
|
|
|
|
|
1.1400000000000001
|
|
|
|
|
],
|
|
|
|
|
"y": [
|
|
|
|
|
0.14
|
|
|
|
|
]
|
|
|
|
|
},
|
|
|
|
|
{
|
|
|
|
|
"marker": {
|
|
|
|
|
"color": "#82f92f"
|
2024-08-22 17:50:46 +00:00
|
|
|
},
|
2024-08-21 17:00:18 +00:00
|
|
|
"mode": "text",
|
2024-08-26 15:45:29 +00:00
|
|
|
"name": "_jump_bl1",
|
|
|
|
|
"text": "_jump_bl1",
|
2024-08-21 17:00:18 +00:00
|
|
|
"textposition": "middle center",
|
|
|
|
|
"type": "scatter",
|
|
|
|
|
"x": [
|
2024-08-26 15:45:29 +00:00
|
|
|
2.5
|
2024-08-21 17:00:18 +00:00
|
|
|
],
|
|
|
|
|
"y": [
|
2024-08-25 18:00:07 +00:00
|
|
|
1.52
|
2024-08-21 17:00:18 +00:00
|
|
|
]
|
|
|
|
|
},
|
|
|
|
|
{
|
2024-08-22 17:50:46 +00:00
|
|
|
"marker": {
|
2024-08-26 15:45:29 +00:00
|
|
|
"color": "#82f92f"
|
|
|
|
|
},
|
|
|
|
|
"mode": "text",
|
|
|
|
|
"showlegend": false,
|
|
|
|
|
"text": "0x2c4",
|
|
|
|
|
"textposition": "middle center",
|
|
|
|
|
"type": "scatter",
|
|
|
|
|
"x": [
|
|
|
|
|
1.2400000000000002
|
|
|
|
|
],
|
|
|
|
|
"y": [
|
|
|
|
|
1.7100000000000002
|
|
|
|
|
]
|
|
|
|
|
},
|
|
|
|
|
{
|
|
|
|
|
"marker": {
|
|
|
|
|
"color": "#82f92f"
|
|
|
|
|
},
|
|
|
|
|
"mode": "text",
|
|
|
|
|
"showlegend": false,
|
|
|
|
|
"text": "0x2c0",
|
|
|
|
|
"textposition": "middle center",
|
|
|
|
|
"type": "scatter",
|
|
|
|
|
"x": [
|
|
|
|
|
1.2400000000000002
|
|
|
|
|
],
|
|
|
|
|
"y": [
|
|
|
|
|
1.1600000000000001
|
|
|
|
|
]
|
|
|
|
|
},
|
|
|
|
|
{
|
|
|
|
|
"marker": {
|
|
|
|
|
"color": "#bd73ad"
|
2024-08-22 17:50:46 +00:00
|
|
|
},
|
2024-08-21 17:00:18 +00:00
|
|
|
"mode": "text",
|
2024-08-26 15:45:29 +00:00
|
|
|
"name": "_boot_usb",
|
|
|
|
|
"text": "_boot_usb",
|
2024-08-21 17:00:18 +00:00
|
|
|
"textposition": "middle center",
|
|
|
|
|
"type": "scatter",
|
|
|
|
|
"x": [
|
2024-08-26 15:45:29 +00:00
|
|
|
2.5
|
2024-08-21 17:00:18 +00:00
|
|
|
],
|
|
|
|
|
"y": [
|
2024-08-25 18:00:07 +00:00
|
|
|
2.52
|
2024-08-21 17:00:18 +00:00
|
|
|
]
|
|
|
|
|
},
|
|
|
|
|
{
|
2024-08-22 17:50:46 +00:00
|
|
|
"marker": {
|
2024-08-26 15:45:29 +00:00
|
|
|
"color": "#bd73ad"
|
2024-08-22 17:50:46 +00:00
|
|
|
},
|
2024-08-21 17:00:18 +00:00
|
|
|
"mode": "text",
|
2024-08-26 15:45:29 +00:00
|
|
|
"showlegend": false,
|
|
|
|
|
"text": "0x658c",
|
2024-08-21 17:00:18 +00:00
|
|
|
"textposition": "middle center",
|
|
|
|
|
"type": "scatter",
|
|
|
|
|
"x": [
|
2024-08-26 15:45:29 +00:00
|
|
|
1.2400000000000002
|
|
|
|
|
],
|
|
|
|
|
"y": [
|
|
|
|
|
2.71
|
|
|
|
|
]
|
|
|
|
|
},
|
|
|
|
|
{
|
|
|
|
|
"marker": {
|
|
|
|
|
"color": "#bd73ad"
|
|
|
|
|
},
|
|
|
|
|
"mode": "text",
|
|
|
|
|
"showlegend": false,
|
|
|
|
|
"text": "0x64e0",
|
|
|
|
|
"textposition": "middle center",
|
|
|
|
|
"type": "scatter",
|
|
|
|
|
"x": [
|
|
|
|
|
1.2400000000000002
|
|
|
|
|
],
|
|
|
|
|
"y": [
|
|
|
|
|
2.16
|
|
|
|
|
]
|
|
|
|
|
},
|
|
|
|
|
{
|
|
|
|
|
"marker": {
|
|
|
|
|
"color": "#7e8007"
|
|
|
|
|
},
|
|
|
|
|
"mode": "text",
|
|
|
|
|
"name": "auth_bl1",
|
|
|
|
|
"text": "auth_bl1",
|
|
|
|
|
"textposition": "middle center",
|
|
|
|
|
"type": "scatter",
|
|
|
|
|
"x": [
|
|
|
|
|
2.5
|
2024-08-21 17:00:18 +00:00
|
|
|
],
|
|
|
|
|
"y": [
|
2024-08-25 18:00:07 +00:00
|
|
|
3.52
|
2024-08-21 17:00:18 +00:00
|
|
|
]
|
|
|
|
|
},
|
|
|
|
|
{
|
2024-08-22 17:50:46 +00:00
|
|
|
"marker": {
|
2024-08-26 15:45:29 +00:00
|
|
|
"color": "#7e8007"
|
|
|
|
|
},
|
|
|
|
|
"mode": "text",
|
|
|
|
|
"showlegend": false,
|
|
|
|
|
"text": "0x128e8",
|
|
|
|
|
"textposition": "middle center",
|
|
|
|
|
"type": "scatter",
|
|
|
|
|
"x": [
|
|
|
|
|
1.2400000000000002
|
|
|
|
|
],
|
|
|
|
|
"y": [
|
|
|
|
|
3.71
|
|
|
|
|
]
|
|
|
|
|
},
|
|
|
|
|
{
|
|
|
|
|
"marker": {
|
|
|
|
|
"color": "#7e8007"
|
|
|
|
|
},
|
|
|
|
|
"mode": "text",
|
|
|
|
|
"showlegend": false,
|
|
|
|
|
"text": "0x12848",
|
|
|
|
|
"textposition": "middle center",
|
|
|
|
|
"type": "scatter",
|
|
|
|
|
"x": [
|
|
|
|
|
1.2400000000000002
|
|
|
|
|
],
|
|
|
|
|
"y": [
|
|
|
|
|
3.16
|
|
|
|
|
]
|
|
|
|
|
},
|
|
|
|
|
{
|
|
|
|
|
"marker": {
|
|
|
|
|
"color": "#7c5233"
|
2024-08-22 17:50:46 +00:00
|
|
|
},
|
2024-08-21 17:00:18 +00:00
|
|
|
"mode": "text",
|
2024-08-26 15:45:29 +00:00
|
|
|
"name": "_boot_usb_ra",
|
|
|
|
|
"text": "_boot_usb_ra",
|
2024-08-21 17:00:18 +00:00
|
|
|
"textposition": "middle center",
|
|
|
|
|
"type": "scatter",
|
|
|
|
|
"x": [
|
2024-08-26 15:45:29 +00:00
|
|
|
2.5
|
2024-08-21 17:00:18 +00:00
|
|
|
],
|
|
|
|
|
"y": [
|
2024-08-26 15:45:29 +00:00
|
|
|
4.5
|
2024-08-21 17:00:18 +00:00
|
|
|
]
|
|
|
|
|
},
|
|
|
|
|
{
|
2024-08-22 17:50:46 +00:00
|
|
|
"marker": {
|
2024-08-26 15:45:29 +00:00
|
|
|
"color": "#7c5233"
|
2024-08-22 17:50:46 +00:00
|
|
|
},
|
2024-08-21 17:00:18 +00:00
|
|
|
"mode": "text",
|
2024-08-26 15:45:29 +00:00
|
|
|
"showlegend": false,
|
|
|
|
|
"text": "0x2020f68",
|
2024-08-21 17:00:18 +00:00
|
|
|
"textposition": "middle center",
|
|
|
|
|
"type": "scatter",
|
|
|
|
|
"x": [
|
2024-08-26 15:45:29 +00:00
|
|
|
1.2400000000000002
|
|
|
|
|
],
|
|
|
|
|
"y": [
|
|
|
|
|
4.84
|
|
|
|
|
]
|
|
|
|
|
},
|
|
|
|
|
{
|
|
|
|
|
"marker": {
|
|
|
|
|
"color": "#7c5233"
|
|
|
|
|
},
|
|
|
|
|
"mode": "text",
|
|
|
|
|
"showlegend": false,
|
|
|
|
|
"text": "0x2020f60",
|
|
|
|
|
"textposition": "middle center",
|
|
|
|
|
"type": "scatter",
|
|
|
|
|
"x": [
|
|
|
|
|
1.2400000000000002
|
|
|
|
|
],
|
|
|
|
|
"y": [
|
|
|
|
|
4.14
|
|
|
|
|
]
|
|
|
|
|
},
|
|
|
|
|
{
|
|
|
|
|
"marker": {
|
|
|
|
|
"color": "#6f6733"
|
|
|
|
|
},
|
|
|
|
|
"mode": "text",
|
|
|
|
|
"name": "BL1",
|
|
|
|
|
"text": "BL1",
|
|
|
|
|
"textposition": "middle center",
|
|
|
|
|
"type": "scatter",
|
|
|
|
|
"x": [
|
|
|
|
|
2.5
|
2024-08-21 17:00:18 +00:00
|
|
|
],
|
|
|
|
|
"y": [
|
2024-08-25 18:00:07 +00:00
|
|
|
5.5
|
2024-08-21 17:00:18 +00:00
|
|
|
]
|
|
|
|
|
},
|
|
|
|
|
{
|
2024-08-22 17:50:46 +00:00
|
|
|
"marker": {
|
2024-08-26 15:45:29 +00:00
|
|
|
"color": "#6f6733"
|
2024-08-22 17:50:46 +00:00
|
|
|
},
|
2024-08-21 17:00:18 +00:00
|
|
|
"mode": "text",
|
2024-08-26 15:45:29 +00:00
|
|
|
"showlegend": false,
|
|
|
|
|
"text": "0x2024000",
|
2024-08-21 17:00:18 +00:00
|
|
|
"textposition": "middle center",
|
|
|
|
|
"type": "scatter",
|
|
|
|
|
"x": [
|
2024-08-26 15:45:29 +00:00
|
|
|
1.2400000000000002
|
|
|
|
|
],
|
|
|
|
|
"y": [
|
|
|
|
|
5.84
|
|
|
|
|
]
|
|
|
|
|
},
|
|
|
|
|
{
|
|
|
|
|
"marker": {
|
|
|
|
|
"color": "#6f6733"
|
|
|
|
|
},
|
|
|
|
|
"mode": "text",
|
|
|
|
|
"showlegend": false,
|
|
|
|
|
"text": "0x2022000",
|
|
|
|
|
"textposition": "middle center",
|
|
|
|
|
"type": "scatter",
|
|
|
|
|
"x": [
|
|
|
|
|
1.2400000000000002
|
|
|
|
|
],
|
|
|
|
|
"y": [
|
|
|
|
|
5.14
|
|
|
|
|
]
|
|
|
|
|
},
|
|
|
|
|
{
|
|
|
|
|
"marker": {
|
|
|
|
|
"color": "#86ce48"
|
|
|
|
|
},
|
|
|
|
|
"mode": "text",
|
|
|
|
|
"name": "BL31",
|
|
|
|
|
"text": "BL31",
|
|
|
|
|
"textposition": "middle center",
|
|
|
|
|
"type": "scatter",
|
|
|
|
|
"x": [
|
|
|
|
|
2.5
|
2024-08-21 17:00:18 +00:00
|
|
|
],
|
|
|
|
|
"y": [
|
2024-08-25 18:00:07 +00:00
|
|
|
6.5
|
2024-08-21 17:00:18 +00:00
|
|
|
]
|
|
|
|
|
},
|
|
|
|
|
{
|
2024-08-22 17:50:46 +00:00
|
|
|
"marker": {
|
2024-08-26 15:45:29 +00:00
|
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[
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0.1111111111111111,
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0.2222222222222222,
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0.3333333333333333,
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"#9c179e"
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0.4444444444444444,
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"#bd3786"
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[
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0.5555555555555556,
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"#d8576b"
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0.6666666666666666,
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0.7777777777777778,
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"#fb9f3a"
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[
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0.8888888888888888,
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"#fdca26"
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[
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1,
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"#FF6692",
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"ticks": "",
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"yaxis": {
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"showbackground": true,
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"ticks": "",
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"zerolinecolor": "white"
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},
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"zaxis": {
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"backgroundcolor": "#E5ECF6",
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"gridcolor": "white",
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"gridwidth": 2,
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"linecolor": "white",
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"showbackground": true,
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"ticks": "",
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"zerolinecolor": "white"
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}
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"shapedefaults": {
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"line": {
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"color": "#2a3f5f"
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}
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},
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"ternary": {
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"aaxis": {
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"gridcolor": "white",
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"linecolor": "white",
|
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"ticks": ""
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},
|
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|
"baxis": {
|
|
|
|
|
"gridcolor": "white",
|
|
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|
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"linecolor": "white",
|
|
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"ticks": ""
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},
|
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"bgcolor": "#E5ECF6",
|
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"caxis": {
|
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"gridcolor": "white",
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"linecolor": "white",
|
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"ticks": ""
|
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|
}
|
|
|
|
|
},
|
|
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|
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"title": {
|
|
|
|
|
"x": 0.05
|
|
|
|
|
},
|
|
|
|
|
"xaxis": {
|
|
|
|
|
"automargin": true,
|
|
|
|
|
"gridcolor": "white",
|
|
|
|
|
"linecolor": "white",
|
|
|
|
|
"ticks": "",
|
|
|
|
|
"title": {
|
|
|
|
|
"standoff": 15
|
|
|
|
|
},
|
|
|
|
|
"zerolinecolor": "white",
|
|
|
|
|
"zerolinewidth": 2
|
|
|
|
|
},
|
|
|
|
|
"yaxis": {
|
|
|
|
|
"automargin": true,
|
|
|
|
|
"gridcolor": "white",
|
|
|
|
|
"linecolor": "white",
|
|
|
|
|
"ticks": "",
|
|
|
|
|
"title": {
|
|
|
|
|
"standoff": 15
|
|
|
|
|
},
|
|
|
|
|
"zerolinecolor": "white",
|
|
|
|
|
"zerolinewidth": 2
|
|
|
|
|
}
|
|
|
|
|
}
|
|
|
|
|
},
|
2024-08-25 18:00:07 +00:00
|
|
|
"width": 1200,
|
2024-08-21 17:00:18 +00:00
|
|
|
"xaxis": {
|
|
|
|
|
"range": [
|
|
|
|
|
0,
|
2024-08-26 15:45:29 +00:00
|
|
|
5
|
2024-08-21 17:00:18 +00:00
|
|
|
],
|
2024-08-25 18:00:07 +00:00
|
|
|
"showgrid": false,
|
2024-08-22 17:50:46 +00:00
|
|
|
"showticklabels": false,
|
2024-08-21 17:00:18 +00:00
|
|
|
"tickvals": [
|
|
|
|
|
0,
|
2024-08-23 16:05:06 +00:00
|
|
|
1,
|
|
|
|
|
2,
|
2024-08-25 18:00:07 +00:00
|
|
|
3,
|
2024-08-26 15:45:29 +00:00
|
|
|
4,
|
|
|
|
|
5
|
2024-08-21 17:00:18 +00:00
|
|
|
]
|
|
|
|
|
},
|
|
|
|
|
"yaxis": {
|
2024-08-22 17:50:46 +00:00
|
|
|
"gridcolor": "black",
|
|
|
|
|
"griddash": "longdashdot",
|
|
|
|
|
"gridwidth": 0,
|
|
|
|
|
"showgrid": false,
|
2024-08-25 18:00:07 +00:00
|
|
|
"showticklabels": true,
|
2024-08-21 17:00:18 +00:00
|
|
|
"tickvals": [
|
|
|
|
|
0,
|
2024-08-25 18:00:07 +00:00
|
|
|
1,
|
|
|
|
|
2,
|
|
|
|
|
3,
|
|
|
|
|
4,
|
|
|
|
|
5,
|
|
|
|
|
6,
|
|
|
|
|
7,
|
|
|
|
|
8,
|
2024-08-26 15:45:29 +00:00
|
|
|
9,
|
|
|
|
|
10,
|
|
|
|
|
11
|
2024-08-21 17:00:18 +00:00
|
|
|
]
|
|
|
|
|
}
|
|
|
|
|
}
|
|
|
|
|
}
|
|
|
|
|
},
|
|
|
|
|
"metadata": {},
|
|
|
|
|
"output_type": "display_data"
|
|
|
|
|
}
|
|
|
|
|
],
|
|
|
|
|
"source": [
|
|
|
|
|
"import plotly.graph_objects as go\n",
|
2024-08-22 17:50:46 +00:00
|
|
|
"import random\n",
|
2024-08-21 17:00:18 +00:00
|
|
|
"\n",
|
2024-08-22 17:50:46 +00:00
|
|
|
"tickpointers = []\n",
|
2024-08-25 18:00:07 +00:00
|
|
|
"vertical_len = len(data['overlap_with'].unique())\n",
|
2024-08-26 15:45:29 +00:00
|
|
|
"vertical_gap_percentage = 0.08\n",
|
2024-08-25 18:00:07 +00:00
|
|
|
"horizontal_gap = 0.1\n",
|
2024-08-26 15:45:29 +00:00
|
|
|
"labels = pd.DataFrame()\n",
|
2024-08-21 17:00:18 +00:00
|
|
|
"\n",
|
|
|
|
|
"def random_color():\n",
|
|
|
|
|
" return f'#{random.randint(0, 0xFFFFFF):06x}'\n",
|
|
|
|
|
"\n",
|
|
|
|
|
"fig = go.Figure()\n",
|
2024-08-25 18:00:07 +00:00
|
|
|
"\n",
|
|
|
|
|
"for i, d in data.iterrows():\n",
|
2024-08-22 17:50:46 +00:00
|
|
|
" fillcolor = random_color()\n",
|
2024-08-25 18:00:07 +00:00
|
|
|
" data.at[i, 'fillcolor'] = fillcolor\n",
|
|
|
|
|
" \n",
|
|
|
|
|
" x0=1\n",
|
2024-08-26 15:45:29 +00:00
|
|
|
" x1=4\n",
|
2024-08-25 18:00:07 +00:00
|
|
|
"\n",
|
|
|
|
|
" if d['overlap'] == False:\n",
|
|
|
|
|
" y0=d['overlap_with']\n",
|
|
|
|
|
" y1=d['overlap_with']+1\n",
|
|
|
|
|
" elif d['overlap'] == True:\n",
|
|
|
|
|
" overlaps = data.loc[data['overlap_with'] == d['overlap_with']].shape[0]\n",
|
2024-08-22 17:50:46 +00:00
|
|
|
"\n",
|
2024-08-25 18:00:07 +00:00
|
|
|
" # Calculate relative size of the overlap\n",
|
|
|
|
|
" overlap_sizes = data.loc[data['overlap_with'] == d['overlap_with']].iloc[1:]['size'].sum()\n",
|
|
|
|
|
"\n",
|
2024-08-26 15:45:29 +00:00
|
|
|
" if d['overlap_with'] == i:\n",
|
2024-08-25 18:00:07 +00:00
|
|
|
" y0=i\n",
|
|
|
|
|
" y1=overlaps+i\n",
|
2024-08-26 15:45:29 +00:00
|
|
|
" if i != data.shape[0]+1:\n",
|
|
|
|
|
" if d['end'] > data.iloc[i+1].start and d['end'] < data.iloc[i+1].end:\n",
|
|
|
|
|
" y1=overlaps+i-0.5\n",
|
2024-08-25 18:00:07 +00:00
|
|
|
" x0=x0-horizontal_gap\n",
|
|
|
|
|
" x1=x1+horizontal_gap\n",
|
|
|
|
|
" else:\n",
|
|
|
|
|
" y0=0.02+i\n",
|
2024-08-26 15:45:29 +00:00
|
|
|
" y1=0.87+i\n",
|
2024-08-22 17:50:46 +00:00
|
|
|
" else:\n",
|
2024-08-25 18:00:07 +00:00
|
|
|
" print(f'Something went wrong with {d}. Skipping')\n",
|
|
|
|
|
" continue\n",
|
2024-08-22 17:50:46 +00:00
|
|
|
"\n",
|
2024-08-21 17:00:18 +00:00
|
|
|
" fig.add_shape(\n",
|
|
|
|
|
" type=\"rect\",\n",
|
2024-08-22 17:50:46 +00:00
|
|
|
" x0=x0,\n",
|
2024-08-25 18:00:07 +00:00
|
|
|
" x1=x1,\n",
|
2024-08-26 15:45:29 +00:00
|
|
|
" y0=y0+vertical_gap_percentage,\n",
|
|
|
|
|
" y1=y1-vertical_gap_percentage,\n",
|
2024-08-21 17:00:18 +00:00
|
|
|
" line=dict(width=2),\n",
|
2024-08-22 17:50:46 +00:00
|
|
|
" fillcolor=fillcolor,\n",
|
2024-08-21 17:00:18 +00:00
|
|
|
" opacity=0.5,\n",
|
2024-08-22 17:50:46 +00:00
|
|
|
" layer=\"below\",\n",
|
2024-08-21 17:00:18 +00:00
|
|
|
" )\n",
|
|
|
|
|
"\n",
|
2024-08-26 15:45:29 +00:00
|
|
|
" # Add middle text\n",
|
2024-08-21 17:00:18 +00:00
|
|
|
" fig.add_trace(go.Scatter\n",
|
|
|
|
|
" (\n",
|
2024-08-25 18:00:07 +00:00
|
|
|
" x=[(x0+x1)/2],\n",
|
|
|
|
|
" y=[y0+0.5],\n",
|
2024-08-21 17:00:18 +00:00
|
|
|
" text=d['name'],\n",
|
|
|
|
|
" mode=\"text\",\n",
|
2024-08-22 17:50:46 +00:00
|
|
|
" textposition=\"middle center\",\n",
|
|
|
|
|
" name=d['name'],\n",
|
|
|
|
|
" marker=dict(\n",
|
|
|
|
|
" color=fillcolor,\n",
|
|
|
|
|
" ),\n",
|
2024-08-21 17:00:18 +00:00
|
|
|
" ))\n",
|
|
|
|
|
"\n",
|
2024-08-26 15:45:29 +00:00
|
|
|
" # Add top-left text with d['end']\n",
|
|
|
|
|
" fig.add_trace(go.Scatter\n",
|
|
|
|
|
" (\n",
|
|
|
|
|
" x=[(x0+0.14+horizontal_gap)],\n",
|
|
|
|
|
" y=[y1-0.16],\n",
|
|
|
|
|
" text=hex(d['end']),\n",
|
|
|
|
|
" mode=\"text\",\n",
|
|
|
|
|
" textposition=\"middle center\",\n",
|
|
|
|
|
" marker=dict(\n",
|
|
|
|
|
" color=fillcolor,\n",
|
|
|
|
|
" ),\n",
|
|
|
|
|
" showlegend=False,\n",
|
|
|
|
|
" ))\n",
|
|
|
|
|
"\n",
|
|
|
|
|
" # Add bottom-left text with d['end']\n",
|
|
|
|
|
" fig.add_trace(go.Scatter\n",
|
|
|
|
|
" (\n",
|
|
|
|
|
" x=[(x0+0.14+horizontal_gap)],\n",
|
|
|
|
|
" y=[y0+0.14],\n",
|
|
|
|
|
" text=hex(d['start']),\n",
|
|
|
|
|
" mode=\"text\",\n",
|
|
|
|
|
" textposition=\"middle center\",\n",
|
|
|
|
|
" marker=dict(\n",
|
|
|
|
|
" color=fillcolor,\n",
|
|
|
|
|
" ),\n",
|
|
|
|
|
" showlegend=False,\n",
|
|
|
|
|
" ))\n",
|
|
|
|
|
"\n",
|
2024-08-21 17:00:18 +00:00
|
|
|
"fig.update_xaxes(\n",
|
2024-08-26 15:45:29 +00:00
|
|
|
" range=[0, 5],\n",
|
|
|
|
|
" tickvals=[0, 1, 2, 3, 4, 5],\n",
|
2024-08-21 17:00:18 +00:00
|
|
|
")\n",
|
|
|
|
|
"\n",
|
2024-08-26 15:45:29 +00:00
|
|
|
"start_values = data['start'].sort_values()\n",
|
|
|
|
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"end_values = data['end'].sort_values()\n",
|
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|
|
"\n",
|
2024-08-25 18:00:07 +00:00
|
|
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"labels = []\n",
|
2024-08-26 15:45:29 +00:00
|
|
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"\n",
|
|
|
|
|
"for i, d in data.iterrows():\n",
|
|
|
|
|
" if i == 0:\n",
|
|
|
|
|
" labels.append(f'{hex(start_values.iloc[i])}')\n",
|
|
|
|
|
" elif i == len(data)-1:\n",
|
|
|
|
|
" labels.append(f'{hex(end_values.iloc[i])}')\n",
|
|
|
|
|
" else:\n",
|
|
|
|
|
" labels.append(f'{hex(start_values.iloc[i])}<br>{hex(end_values.iloc[i-1])}')\n",
|
2024-08-21 17:00:18 +00:00
|
|
|
"\n",
|
2024-08-25 18:00:07 +00:00
|
|
|
"tickpointers = [i for i in range(len(data))]\n",
|
2024-08-21 17:00:18 +00:00
|
|
|
"\n",
|
|
|
|
|
"fig.update_yaxes(\n",
|
2024-08-22 17:50:46 +00:00
|
|
|
" # tickvals=[i for i in range(len(data)+1)], \n",
|
|
|
|
|
" tickvals = tickpointers,\n",
|
2024-08-26 15:45:29 +00:00
|
|
|
" # ticktext= labels,\n",
|
2024-08-22 17:50:46 +00:00
|
|
|
" griddash=\"longdashdot\",\n",
|
|
|
|
|
" gridwidth=0,\n",
|
|
|
|
|
" gridcolor=\"black\",\n",
|
|
|
|
|
" showgrid=False,\n",
|
2024-08-25 18:00:07 +00:00
|
|
|
" showticklabels=True,\n",
|
2024-08-22 17:50:46 +00:00
|
|
|
")\n",
|
|
|
|
|
"\n",
|
|
|
|
|
"fig.update_xaxes(\n",
|
2024-08-25 18:00:07 +00:00
|
|
|
" showgrid=False,\n",
|
2024-08-22 17:50:46 +00:00
|
|
|
" showticklabels=False,\n",
|
|
|
|
|
")\n",
|
|
|
|
|
"\n",
|
|
|
|
|
"fig.update_layout(\n",
|
2024-08-25 18:00:07 +00:00
|
|
|
" width=1200,\n",
|
2024-08-22 17:50:46 +00:00
|
|
|
" height=1200,\n",
|
|
|
|
|
" autosize=True,\n",
|
|
|
|
|
" margin=dict(l=200, r=20, t=20, b=20),\n",
|
|
|
|
|
" font=dict(\n",
|
|
|
|
|
" size=18,\n",
|
|
|
|
|
" ),\n",
|
|
|
|
|
" # Legend being the name of the function\n",
|
|
|
|
|
" legend_title_text=\"Function/Locations\",\n",
|
2024-08-21 17:00:18 +00:00
|
|
|
")\n",
|
|
|
|
|
"\n",
|
|
|
|
|
"fig.show()"
|
|
|
|
|
]
|
|
|
|
|
}
|
|
|
|
|
],
|
|
|
|
|
"metadata": {
|
|
|
|
|
"kernelspec": {
|
|
|
|
|
"display_name": "venv",
|
|
|
|
|
"language": "python",
|
|
|
|
|
"name": "python3"
|
|
|
|
|
},
|
|
|
|
|
"language_info": {
|
|
|
|
|
"codemirror_mode": {
|
|
|
|
|
"name": "ipython",
|
|
|
|
|
"version": 3
|
|
|
|
|
},
|
|
|
|
|
"file_extension": ".py",
|
|
|
|
|
"mimetype": "text/x-python",
|
|
|
|
|
"name": "python",
|
|
|
|
|
"nbconvert_exporter": "python",
|
|
|
|
|
"pygments_lexer": "ipython3",
|
|
|
|
|
"version": "3.10.12"
|
|
|
|
|
}
|
|
|
|
|
},
|
|
|
|
|
"nbformat": 4,
|
|
|
|
|
"nbformat_minor": 2
|
|
|
|
|
}
|
