Samsung_S7/documentation/source/_ignore/draw_boot.ipynb
2024-08-25 20:00:07 +02:00

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38 KiB
Plaintext

{
"cells": [
{
"cell_type": "code",
"execution_count": 180,
"metadata": {},
"outputs": [],
"source": [
"# Using plotly\n",
"import plotly.graph_objects as go\n",
"import numpy as np"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"Define data"
]
},
{
"cell_type": "code",
"execution_count": 197,
"metadata": {},
"outputs": [
{
"data": {
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"\n",
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"\n",
" .dataframe thead th {\n",
" text-align: right;\n",
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"</style>\n",
"<table border=\"1\" class=\"dataframe\">\n",
" <thead>\n",
" <tr style=\"text-align: right;\">\n",
" <th></th>\n",
" <th>start</th>\n",
" <th>end</th>\n",
" <th>name</th>\n",
" <th>order</th>\n",
" <th>comment</th>\n",
" <th>overlap</th>\n",
" <th>overlap_with</th>\n",
" <th>size</th>\n",
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" <tr>\n",
" <th>0</th>\n",
" <td>0</td>\n",
" <td>131072</td>\n",
" <td>BootROM</td>\n",
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" start end name order comment \\\n",
"0 0 131072 BootROM NaN NaN \n",
"1 704 21184 BL1 boot entry point ENTRY NaN \n",
"2 25824 46304 Boot USB function NaN NaN \n",
"3 75848 96328 bootrom authentication function NaN NaN \n",
"4 103184 123664 BL1 boot function NaN NaN \n",
"5 2146304 2166784 Frederic Destination pointer NaN NaN \n",
"6 33689440 33689448 Boot USB return address NaN NaN \n",
"7 33691000 33711480 Event buffer pointer NaN NaN \n",
"8 33984512 34004992 First debugger location NaN NaN \n",
"9 33992704 34013184 End of memory stack NaN NaN \n",
"\n",
" overlap overlap_with size \n",
"0 True 0.0 131072 \n",
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"2 True 0.0 20480 \n",
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},
"execution_count": 197,
"metadata": {},
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],
"source": [
"import pandas as pd\n",
"data = pd.read_csv('stack_and_functions.csv')\n",
"\n",
"def convert_to_int(value):\n",
" try:\n",
" if isinstance(value, str) and value.startswith('0x'):\n",
" return int(value, 16)\n",
" else:\n",
" return int(value)\n",
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" return value \n",
"\n",
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"data['start'] = data['start'].apply(convert_to_int)\n",
"data['end'] = data['end'].apply(convert_to_int)\n",
"data['overlap'] = False\n",
"\n",
"for i, row in data.iterrows():\n",
" for j, row2 in data.iterrows():\n",
" if i == j:\n",
" continue\n",
" if row['start'] < row2['end'] and row['end'] > row2['start']:\n",
" if row['end'] - row['start'] > row2['end'] - row2['start']:\n",
" continue\n",
" data.at[i, 'overlap'] = True\n",
" data.at[j, 'overlap'] = True\n",
" data.at[i, 'overlap_with'] = j\n",
"\n",
"data['overlap_with'] = data['overlap_with'].fillna(data.index.to_series())\n",
"data['overlap_with'] = data['overlap_with'].astype(float)\n",
"data['size'] = data['end'] - data['start']\n",
"\n",
"data"
]
},
{
"cell_type": "code",
"execution_count": 239,
"metadata": {},
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"data": {
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"data['end'].iloc[-1]"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"Inherent stacked block diagram"
]
},
{
"cell_type": "code",
"execution_count": 242,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
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"1.25\n",
"1.25\n",
"1.25\n",
"1.25\n",
"inf\n",
"inf\n"
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},
{
"name": "stderr",
"output_type": "stream",
"text": [
"/tmp/ipykernel_16763/1983735317.py:29: RuntimeWarning:\n",
"\n",
"divide by zero encountered in scalar divide\n",
"\n"
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"source": [
"import plotly.graph_objects as go\n",
"import random\n",
"\n",
"tickpointers = []\n",
"vertical_len = len(data['overlap_with'].unique())\n",
"vertical_gap_percentage = 0.05\n",
"horizontal_gap = 0.1\n",
"\n",
"def random_color():\n",
" return f'#{random.randint(0, 0xFFFFFF):06x}'\n",
"\n",
"fig = go.Figure()\n",
"\n",
"for i, d in data.iterrows():\n",
" fillcolor = random_color()\n",
" data.at[i, 'fillcolor'] = fillcolor\n",
" \n",
" x0=1\n",
" x1=3\n",
"\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",
"\n",
" # Calculate relative size of the overlap\n",
" overlap_sizes = data.loc[data['overlap_with'] == d['overlap_with']].iloc[1:]['size'].sum()\n",
" print((d['size']/overlap_sizes)*overlaps)\n",
"\n",
" if d['overlap'] == i+1:\n",
" y0=i\n",
" y1=overlaps+i\n",
" if y1 == vertical_len:\n",
" y1 = vertical_len + vertical_gap_percentage\n",
" x0=x0-horizontal_gap\n",
" x1=x1+horizontal_gap\n",
" else:\n",
" y0=0.02+i\n",
" y1=0.97+i\n",
" else:\n",
" print(f'Something went wrong with {d}. Skipping')\n",
" continue\n",
"\n",
" fig.add_shape(\n",
" type=\"rect\",\n",
" x0=x0,\n",
" x1=x1,\n",
" y0=y0+gap_percentage,\n",
" y1=y1-gap_percentage,\n",
" line=dict(width=2),\n",
" fillcolor=fillcolor,\n",
" opacity=0.5,\n",
" layer=\"below\",\n",
" )\n",
"\n",
" fig.add_trace(go.Scatter\n",
" (\n",
" x=[(x0+x1)/2],\n",
" y=[y0+0.5],\n",
" text=d['name'],\n",
" mode=\"text\",\n",
" textposition=\"middle center\",\n",
" name=d['name'],\n",
" marker=dict(\n",
" color=fillcolor,\n",
" ),\n",
" ))\n",
"\n",
"fig.update_xaxes(\n",
" range=[0, 4],\n",
" tickvals=[0, 1, 2, 3, 4],\n",
")\n",
"\n",
"labels = []\n",
"for i, j in zip(data['start'], data['end']):\n",
" labels.append(f'{hex(j)}<br>{hex(i)}')\n",
"\n",
"tickpointers = [i for i in range(len(data))]\n",
"\n",
"fig.update_yaxes(\n",
" # tickvals=[i for i in range(len(data)+1)], \n",
" tickvals = tickpointers,\n",
" ticktext= labels,\n",
" griddash=\"longdashdot\",\n",
" gridwidth=0,\n",
" gridcolor=\"black\",\n",
" showgrid=False,\n",
" showticklabels=True,\n",
")\n",
"\n",
"fig.update_xaxes(\n",
" showgrid=False,\n",
" showticklabels=False,\n",
")\n",
"\n",
"fig.update_layout(\n",
" width=1200,\n",
" 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",
")\n",
"\n",
"fig.show()"
]
}
],
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