samples/mem_info-plot.ipynb

{
 "cells": [
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# plotting\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Enabling the `widget` backend.\n",
    "# This requires the module ipympl (a.k.a jupyter-matplotlib )\n",
    "# ipympl can be install from PyPi.\n",
    "%matplotlib widget\n",
    "\n",
    "import matplotlib.pyplot as plt\n",
    "import numpy as np"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Loaded and parsed 0 memory_info records from the log file\n"
     ]
    }
   ],
   "source": [
    "%store -r log_text\n",
    "from micropython_magic.memoryinfo import MemoryInfoList\n",
    "mi_list = MemoryInfoList(show_free=False)\n",
    "print(f\"Loaded and parsed {len(mi_list.parse_log(log_text))} memory_info records from the log file\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "f91fab97137e4cb5b7d4693aa2503ce8",
       "version_major": 2,
       "version_minor": 0
      },
      "image/png": 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q9erVuv322yVJq1ev1scff6xgMKjMzEylpKTI7Xbv9roAnMUEIRDDbrnlFg0YMECnnXaasrOzdcEFF6ioqEiSdOedd2rZsmXKysrSb37zG11yySUNnnvGGWfo448/1iGHHKInn3xSL730kpKTm/axo3ur44orrtCECRN03nnnKSsrSwMHDoxeXdh0ZucHiZuf3RJAY8gQYIcMAfbIEWCHDAF2yBCcc/lJPfSvWwfr+WtO1b9uHazLT+rx80/aD/fee69atWqluXPn6r777lOrVq307LPPNrrtggULlJGRoTZt2mjkyJG68847dd555+223dFHH625c+dq/Pjx6tSpk7766istWPC0JCk7O1tLly7VvHnz1L59e5144onRj036QUZGht544w394x//0P/8z/+oqqpKV199tXJycnTkkUfqtNNO05VXXnlAvw8A7LnMj9ckBOKU1+vVxo0b1bt3b6WnpztdTtSOHTt0yCGHqKKiQm3btj1g+33mmWe0cOFCvfPOOwdsn81hT8fF56vW/fdn69Zbq3Z+ZgCA/UGGADtkCLBHjgA7ZAiwQ4ZgI1bPIx5M4XBIpaWfqHPn45WUlHhX/u3pZ6C4uFi5ubkqKipS9+7dHawQODCadjkRADSjtLQsTZvGexeApiJDgB0yBNgjR4AdMgTYIUOAnaQkt7p2PdHpMgA0M5YYBRBzwuGQtm1br3D459dPB7A7MgTYIUOAPXIE2CFDgB0yBNgxxigQqBeLDwLxjQlCIA6NGzcu5pcX3ZtAoFbz5g1QIFDrdClAi0SGADtkCLBHjgA7ZAiwQ4YAO8aEtX37BhkTdroUAM2IzyBEQojVtcOb6zMIW4pYPS4AAAAAAABITJyvAp9BiETBFYQAYk44HFRR0UqFw0GnSwFaJDIE2CFDgD1yBNghQ4AdMgTYMcbI7/ewxCgQ55ggBJpo48aN+uabb5wuIy4FAvVavHikAoF6p0sBWiQyBNghQ4A9cgTYIUOAHTIE2DEmrIqKb1liFIhzTBAiISxatEjFxcVav369NmzYoNrava9BX1JSovXr1ze4r6amRp988okKCwt590wzS0vL1NSpxUpLy3S6FKBFIkOAHTIE2CNHgB0yBNghQ4CdpCS3Onc+TklJbqdLiQv5+fnq1auX0tPTdcopp+ijjz5yuiRAEhOESAAvvvii/ud//kc5OTk67LDD1KpVK3311VcKBAL7vI/Kykp9/fXX6tSpk3r06CGXy9WMFSMcDuqbb95kKRCgicgQYIcMAfbIEWCHDAF2yBBgxxgjr7eKiyQOgBdffFFTp07VtGnTtGbNGh133HEaNmyYtm3b5nRpABOEiH+zZs3SyJEjlZGRofT0dPXs2VNJSUnavn37Pj2/vLxc3377rbp3766uXbvu9nhJSYnWrl2rNWvW6Pvvv1c4vP+X3m/evHm/n9OSTJ8+XRMnTtzn7YNBr956a6qCQW8zVgXELzIE2CFDgD1yBNghQ4AdMgT8vHHjxunee+9t9DFjwqquLvrZJUZ79eqlf/3rX81RXtyYNWuWrrnmGo0fP155eXmaM2eOWrdurfnz5ztdGsAEIeKb3+/Xf/7zHw0YMCB6n8vlUlZW1s8uMypJ27Zt06ZNm9SrVy917Nhxt8erq6tVX1+vI488Uoceeqh27NihLVu27HF/4XBYoVCowU2S5I28G8fUh2XqI794w7VhGe/OsSe0a1wTkvH9aOzfOa4OyQQi+wlX/WhcGZIJ/mgcMjJhExmHjUwoMpYkE/zROGAUrvrRuHrn2B9WuGbn2PejsTessOdH49pwtCd3wL3Xnvw76hSq9+8c18odTtN///d6ySOF/ZF3+/m21+wal1UrHAhFxyYUlgmbyDhsZEJh+cqqI68TCO0a+4Pyba+Jjv0VHklSyBuQf0fk5yFU74+Og7U+Barqdo2rI59dEPR4FfRE/icjUF2vYK0vMq6qi479O2ob9BTyRq5Y9Vd46Imemr0ndyg1kqFaV9z0FI/HiZ5it6ekQMquDMVJT/F4nOgptntKTc3QNaM+VlIgJW56isfjRE+x21NqaoauuWp1NEPx0FM8Hid6it2eUlMzdO2Y/yjJnxw3PcXjcYrlnowxCgd3nucKhxsfh34yDoWjY7NzHP7xOBhqOA7vaWyitf107PP5NH7cePXo0UNZWVk69ZRT9MEHH0TqDfxQY2Q8btw4paWlKSMjQ1lZWTrttNP0yX/WRPv4Yd+N9ZSU5FaHdnmSce21px8es+kpOjYm2sePxz/uqdFxMx4nf1XDc5YhX+RnrKamRtXV1dGbz+dTY344Nz106NDofUlJSRo6dKhWrlzZ6HOAg4kJQsS17du3KxQKqV27dg3uT0lJUXbhbOmz6Y3eMjc+qLbFDyu45g4dHXhR7TY/uts2OUUPqev2J9Xbs0Ctvv4f5RQ+pMPrFylp3d17vPy+tLRUn3zySfS2bt06SVLGXa0kSf6ba+W/OfKHU+D6Wvnv2vlH1Kh6+WdH/tAKXuSVf+7OP7QG++RfHBmHTw4osDTyh5Y5OqTgyp0fxJ0rBddFfkkltXUrXByQqQ4rqa1bpjqscHFASW0jE3jBdT4pN/K04Mp6maMjvzwDS+sUPnnnH1+LaxUavPMPtLm1Cl4U+SPOP9uj4KjIa/rvqlXg+tpoT4Pe+mWjPYUfjeyn7pxiFc/4UJJUeeJ3Ks7/UOvXL5anb6lKF62N7KePR2Wvb4j2tGPlRklSWscseb7aKn95jdI6ZslfXiPPV1uV1jFL0s7tdvZU9voG+ftEvo+li9bK07dUklTy+GpVnvidJKl4xofaPjDyOsW3rVTpOZ9GxpNWquSS1ZHxmFUqHrMq8txLVqt4UuQXeuk5n6r4tsh4+8ANDXoqeTzyXHqip4PRU9F9K7V+/WLtiKOe4vE40VPs9lR06wdav36xtp8RPz3F43Gip9juKRQKqGjIKhXd+kHc9BSPx4meYrenUCigjRcsU9F//ztueorH40RPsdtTKBTQN5ctjaue4vE4xXJP4Vq/wt9EJoMC2+oU2rDzXNiWWgW/3HkubHOtgl/vPBdWWKvAtzvPhW2slX/jzvN739bKX7jzXNjX9fJv3jn+0iv/lp3n9zb4FNgWOacXXh9QoGLn+b11IQWrdp7f+0wK1foUDAbVO623VrzzT1WUlWvKRb/VhRdeqOrtO5T0aeT8XqjWJ30WedrtN9+qqvcrVFlZqXMHn62rr5oQ7cnsvDCgsZ6MCcu7qfJne1LAKLDda9WTJCV96lbYG5AJhpX0qVsmGFbYG2i0p2BVvcy6necsK+oUXh844McpsDWyfeXo7xr87FUsWC9JysvLU3Z2dvQ2c+ZMNeaHc9OdOnVqcH+nTp1UWlra6HOAg8oAcWzz5s1Gkvnggw9MQUGBqa+vN8YYU1RUZLa9+9/GfDqt0Vv1v6aa0rf/n9n2zn+brW9fb4Jr7thtm4oVvzFl/5zU4D7/6tvN5jeuMV6vt9F6QqGQCQaD0VtZWZmRZB6870HTq1cv0/WQrub+6fdHtvWETMDjN3feeac5ovsRpnuH7mbq1KnGV+E1YW/IfPPNN+asXww17bLamS5dupg7p/7RhP1hY4wxCx5bYIYMHGImTpxoumZ0Nccfe7z55JNPTGhH0ISDYRMOhSPjUNj8851/muN6H2eMMSYciNwvyRR+V2hClUFz7733mm6dupnOGZ3NMcccY9Z98rkJVQdNeXm5ueqyUaZn+56md+/eZsGTz5hQTdAYY8zWwlJzwdALTGZmpjnrl2eZyRMnmwkTJpiQJ2TC9aFIfzVBU7ej1hQUFJiqknITrPMZY4zxVXhMXdUOM3fuqaZmy1YT8gWMMcZ4y6p3jbdVmZA/GB2HgyETDoUj41DYhIMh491WFXkdf3DX2Bcw3rLq6NhXXmOMMSZY7ze+Ck9kXOeLjgMer/FX1u4aV9VFxjX1JlAT+VnyV9WZgCdyvP2VtdGxr8LToKdgvT8yLq+hJ3pq9p7qKisiGSrdGjc9xeNxoqfY7am2onxXhuKkp3g8TvQU2z35fB4z79HTTW1Fedz0FI/HiZ5ityefz2Pm5/8ymqF46CkejxM9xW5PPp/HzH/8dFNbvj1ueorH4xSrPdXX15v169eb2ppI7eFQyIQCwd3HwZ+Mg6HoOFxRaMx3K0yootCEd94fCgQbjkN7Goejte1xHA6bcDhsQv6g6dKli/n444+jPYdDkfvHjh1r7r777uj933z9jUlPT4/2MWb0GHPPPfdEe8rPzze9e/c27du3N1deeaX59uuPTNAf+V6/89bb5oQTTjCZmZmmT58+ZsWy5cYYY3r27GneW77CGGPM+yveMz169DArV640nuoa8+vLLzdt27Y1bdu2Naeffvp+9fTj8Y97anTc2LHZ1+P0w/H48TgQNHWenecsSxues9z0zUYjKfJYVVX0tqdzwT8+N/1jt9xyizn55JMbfQ5wMLmM4ZNGEb/8fr9at26tJUuW6LDDDlPv3r2Vnp6ujRs3Kvv72TrkkEMafV5NTY3qvfVq3669ysvLZYxRu3bt5Ha7o9vsqNyhUCik9u3aR+8LBAIqKytTu8GPKi0t7Wfr27Fjhw455BBdeOGFWrRokTZt2qQTTzxR69ev12GHHaY//elPeuONN/Tiiy8qJSVFF198sS655BJNnjxZ3377rYqLi3Xaaadp48aNGjJkiB555BENHz5czzzzjCZOnKhHH31UEydO1Jw5czR79mx99dVXSk5OblDD8uXLNXHiRH3zzTfR+1wul4qKiuTxeHTWWWfp448/VqdOnfTll18qJydHnTt31nnnnaejjz5a9913nzZu3KgzzzxTS5cu1bHHHqvLLrtM6enpevLJJ7VmzRqdc845uuyyyzR37twGr+31erVx48bocQEAAAAAAACctMfzVf69fFyRyy2l7Nx2zV+lv98ombDkSpLOfUDqd+WPtk2SUlo13G9qmybV+vXXX+u//uu/tHXrVmVnZzd4bNy4cerTp4/uuOMOBYNB3X///XrnnXe0fPny3R5/++23NWbMGL377rvq2bOnxowZo8zMTD3zzDP67rvv1K9fPz333HM699xztXnzZvn9fvXp00e9evXSwoULFQqFNHr0aL388ss68cQTNWfOHL3++uvRc5orV67UL3/5yyb16IQ9/QwUFxcrNzdXRUVF6t69+8/u54dz0y+99JKGDx8evX/s2LGqrKzUK6+80hzlA/uMJUYR11JTU3XCCSdo1apV0fuMMaqurlZKasrPPj8pKUnt2rWTK8ml8vLyXZ8ZuFMwEGywnKg/4JfL5VJqaup+1XnjjTcqIyNDxxxzjI499lh9/vnnkqR58+bp3nvvVYcOHZSTk6ObbrpJL730kiTpsMMO08CBA5WcnKzDDz9co0aNavChwLm5ubr++uuVkpKiyZMnKxAI6KOPPtqvupKTk+Xz+bRhwwaFQiEdddRR6ty5s0pLS7V8+XLNnDlTaWlpOuqoo3TllVfq5ZdfVigU0t/+9jfdfffdSk9P1y9+8QtdeOGF+/W6oZBfa9bMVSjk36/nAYggQ4AdMgTYI0eAHTIE2CFDaBYzuu759r+jI9tUbd41OShF/vv6zQ23XXhpw/0+9F9NKqe+vl5XXXWVbrvttt0mB39w3333KScnR23atNGf/vQn3X333Y1u98ILL+jaa69VXl6e2rRpo/vuu1cvvviiwuGQnn/+eV1wwQU6//zz5Xa71aNHD/Xp0yf63LffflujR4/Wq6++qhNPPFFS5OOdysvL9d133yk5OblFTQ4eSD+cm3733Xej94XDYb377rsaMGCAg5UBEUwQIu5NnTpV//u//yuPxyOv16vCwkKFw2G1bt16n56flJSkdodEJgm3l29vMElojFFlZaUCwYC8Pq9qamrUpk0buVyu/aqxY8eO0XHr1q3l8UTWOy8sLNS5556rnJwc5eTkaNSoUdq2bZskafPmzbr44ovVuXNnZWdn66GHHlJ5eXl0Pz9+F4vL5VL37t21ZcuW/aqrT58+evDBB3X77berU6dOmjhxoqqrq1VYWCiv1xuduMzJydFf/vIXlZaWqqysTMFgULm5udH9/Hi8L0KhgAoKFisUCuzX8wBEkCHADhkC7JEjwA4ZAuyQITim4ttdk4PNKBAIaOTIkerTp4/uvPNOSVJGRkb09oM//OEPqqysVH19vZ599lldcMEFKikp2W1/JSUl6tGjR/TrHj16yOv1qry8XMXFxerdu/cea3niiSf0q1/9Sv369YveN3r0aA0ZMkQXX3yxevbsucfP6EsEU6dO1VNPPaUFCxZow4YNuv7661VbW6vx48c7XRqg5J/fBGjZLr/8ctXU1KiyslLffvutWrdurcMPP1zu79w//+SdfriSsLy8XNvLt0eXFU1LS5M72a3y7ZFlSFu1aqXMzMwDVnu3bt304osvqn///rs9dscdd6ht27b66quvlJWVpdtuu63BBGBxcXGD7YuLi9WlS5fd9tOmTRvV19dHv966dWuDx0ePHq3Ro0dr+/bt+vWvf61Zs2bpmmuuUUZGhnbs2LHbZGgoFFJycrKKiorUq1cvSVJRUdF+LSGamtpGV1315j5vD6AhMgTYIUOAPXIE2CFDgB0yhGZx++4Ta1GunecZDzkssoTojycJXW5p0odSVtedX//kmp0pn+9XGeFwWKNHj5bL5dKCBQui5+Z+uOCgMUlJSbrwwguVmpqqDz74QJde2vAqxq5du6qwsDD6dXHxZqWnp6t9+w7Kzc1VQUHBHvc9d+5c/eEPf9Cf/vQn3XLLLZIiV87dfffduvvuu/XFF19o0KBBGjBggAYNGrRfvcaDyy+/XGVlZbrzzjtVWlqqfv36aenSperUqZPTpQFcQYjEcNVVV6l79+7q27evjj766AbvpGlMZmamOnbo2OC+JFeSOrTvoE4dO8ntdqttTlsdcsghysrMUufOndWlSxfl5OTs99WDe3P11Vfrjjvu0JYtW2SM0aZNm7RixQpJkc9JzMzMVEZGhtatW6eFCxc2eG5RUZGefPJJBQIB5efnKzk5WSeffPJur3HEEUdox44dWrFihXw+n+65557oY19++aWWL18eXS87LS1Nbrdb3bp104ABA3THHXeorq5OwWBQa9asUUFBgdxut4YPH67p06fL6/Vq1apV+vvf/75ffQeDPq1cOUvBoK8J3zUAZAiwQ4YAe+QIsEOGADtkCM0itc2ebz98/mB2N+mCh3dNGLrc0gUPSe0P/9G2rXbf73647rrrtGXLFi1evFjJyft2/Y8xRq+99poqKip05JFH7vb45ZdfrqeeekobNmxQbW2t/vCH23XxxRdIMrriiiv097//Xa+//rrC4bCKior07bffRp97yCGH6K233tKTTz6pJ598UpK0bNkyrV+/XuFwWFlZWUpOTpbbve8Xa8SbyZMn6/vvv5fP59OHH36oU045xemSAElMEAIx7ZZbbtGAAQN02mmnKTs7WxdccIGKiookSXfeeaeWLVumrKws/eY3v9Ell1zS4LlnnHGGPv74Yx1yyCF68skn9dJLLzX6R0N2drYefvhhXXbZZerdu7dOOumk6GM+n0+33HKL2rVrpx49eig7O1u//e1vJUmLFi1ScXGxDj30UHXs2FFTpkyJXon42GOPqbS0VB06dNBtt92mUaNG7VffxoRUXLxSxoR+fmMAuyFDgB0yBNgjR4AdMgTYIUNwVP8xkasCx/4j8t/+Yw7Yrr///nvNnTtXH330kdq3bx9dUvT9999vdPt77rlHGRkZyszM1E033aR58+bpv/5r9888PPvss3XbbbfpV7/6lXr27Knk5BTde++tMsaod+/e+r//+z/94Q9/UHZ2toYMGbLbxxh16dJFb7/9tu677z49//zz2rJli4YPH66srCyddNJJuu666xL2cwiBWOYyxhiniwCam9fr1caNG9W7d+/9Wuqyue3YsUOHHHKIKioq1LZt2wO232eeeUYLFy7UO++8c8D22Rxi9bgAAAAAAAAgMXG+Cnv6GSguLlZubq6KiorUvXt3BysEDgyuIAQQc4JBn5Yvn85SIEATkSHADhkC7JEjwA4ZAuyQIcCOMWHV1JTI/PizFAHEHSYIAcQcY8Kqri7mjxCgicgQYIcMAfbIEWCHDAF2yBBgxxgpFPKLtQeB+MYSo0gIsbo0QHMtMdpSxOpxAQAAAAAAQGLifBVYYhSJgisIAcScYNCrN9+cqmDQ63QpQItEhgA7ZAiwR44AO2QIsEOGADvGhFVVVcRVuECcY4IQAAAAAAAAAAAASCAsMYqE8MNl4b169VKrVq2cLicq0ZcYra+v16ZNm1iyAQAAAAAAADGBJUbBEqNIFMlOFwAcDCkpKXK5XCorK1OHDh3kcrmcLklS5JfND//9YZwojDEqKyuTy+VSSkpKg8cCgXq98cYNOvfcR5WSEjsTukBLQYYAO2QIsEeOADtkCLBDhgA74XBY1dWFysrqoaQkFiEE4hUThEgIbrdb3bt3V3FxsTZt2uR0OaqpqVFNTY08Ho8kqbCwUJWVlc4W5QCXy6Xu3bvL7Xb/5P4kZWV1l8vFHyBAU5AhwA4ZAuyRI8AOGQLskCHAjsslud2pipFrLGLO4MGDlZKSokmTJmnSpElOlwM0GUuMIqGEQiEFAgGny4jasmWLDj30UH333Xfq0qWL0+UcdCkpKbtNDgIAAAAAAABOYYnRfbNp0yb16dNHwWCwyft45plntHDhQr3zzjtWtSxatEgvvPCC/v73v1vt5wcsMYpEwdtokFDcbrfS09Nj5vbD0popKSmO1+LEbU+Tg4FAnRYvHqlAoO5g/ngAcYMMAXbIEGCPHAF2yBBghwwhXvXq1Utt2rRRbW1t9L66ujplZmaqV69eB+x1wuGQ1q5dIZfLpYyMDGVkZKhr16664447Dthr7K/PP/9cQ4YMUdu2bdW2bVv94he/0McffyxJGjVq1AGbHAQSCROEAGKOy+VW9+4D5HJxdSHQFGQIsEOGAHvkCLBDhgA7ZAjxrFu3blqyZEn061deeeWAr0zmcrmUktJabrdbHo9HHo9HH374oZ577jm9+uqrB/S19tWFF16oiy66SGVlZdqyZYvuvvtupaWlOVILEC+YIAQQc5KT0zRgwFQlJ/NLHmgKMgTYIUOAPXIE2CFDgB0yBKeV1pbqoy0fqbS29IDv+4orrtCiRYuiXy9cuFCjRo1qsM2MGTPUs2dPZWVlacCAAfrss88kSdu3b1eXLl20YsUKSVJRUZE6dOigTz/9tMHzXa4ktWnTocF9ubm5Ov3007Vhw4ZG6yoqKtKvfvUrtW3bVnl5eXrllVeij9XW1uq///u/1bVrV7Vt21ajR4/e7fnBYFBXXHGFrrrqKoVCoQaPlZWVadOmTbrmmmuUnJys9PR0DR06VMcee6ykyFKlQ4cOlSQ98MAD0aseMzIylJycrOnTp0uSCgsLdd5556ldu3Y6+uijtXTp0sa/yUCCYIIQQMzx+2u1cOEw+f21P78xgN2QIcAOGQLskSPADhkC7JAhNIe6QN0eb76QL7rdy1+/rGEvDdOEtyZo2EvD9MIXLzTY1hv07rbf/XHmmWfq888/V1lZmcrKyvTZZ59FJ8d+cNRRR2n16tUqLy/XWWedpTFjxkiS2rdvryeeeELjx49XTU2NJkyYoBtvvFHHHXdcg+eHwyHt2PFdg/s2bdqk999/XyeffHKjdV1xxRXq27evSktL9fjjj+uqq67SN998I0maMmWKCgsL9dlnn2nbtm267rrrGjw3EAjo8ssvV3p6uv7617/u9rFE7du312GHHRZdSrS8vHyP35/f/e530aseP/74Y7Vr104XXnihwuGwLrjgAg0bNkxbt27V/PnzNXr0aG3dunUv320gviU7XQAA/JTbnaK8vJFyu1OcLgVokcgQYIcMAfbIEWCHDAF2yBCawynPnbLHx37Z7Zd6fOjjKq0t1V0r71JYYUlSWGHd9+F9uu/D+6LbntjpRD19ztPRr8/5v3P03q/f2+c63G63Lr30Ur344ouSpEsuuWS3CbURI0ZEx7fffrvuvfdeeTweZWRkaPjw4fq///s/DRgwQK1atdKtt96622u4XC6lpWUrFAopJydHxhhVV1drxIgROuOMM3bbvqioSKtXr9bbb7+ttLQ0DRo0SOeff74WL16s3//+93r22Wf1+eefq3379pKk008/Pfpcn8+niy++WF27dtVf/vIXuVyuRuv55z//qRkzZmjy5MkqLi7WOeeco3nz5qlz586Nfp+qq6t18cUX64EHHlD//v21atUq1dfX6ze/+Y0kacCAARo4cKDeeOMNjRs37me+60B84gpCADHH7U5V//4T5XanOl0K0CKRIcAOGQLskSPADhkC7JAhOKWwulBhE2721xk1apSee+45LVq0aLflRSXpqaeeUt++fZWdna3OnTvLGNPgqrsJEyZo/fr1mjRpkpKTd7+GyOVKUuvW7eR2u1VZWamqqiqVlZWpqqpKv/vd73bbvqSkRB06dFCrVq2i9/Xs2VMlJSUqKyuTz+dT7969G+1lw4YNWr58uW677bZGJwd/0KNHD82ZM0fff/+9NmzYoK1bt2rKlCmNbmuM0ejRozV06FCNHTtWUmR50Y0bNyonJyd6W7p0qbZs2bLH1wTiHROEAGKO31+refMGsBQI0ERkCLBDhgB75AiwQ4YAO2QIzeHDKz/c42324NmSpB5ZPZTkanjKPcmVpFeHvxrd9omhTzR4fOkl+/85eCeeeKIqKiq0Y8cOnXTSSQ0e27Rpk6ZMmaIFCxZox44d2rJli1wul4wxkiS/368bbrhB48aN07Rp01RdXb3b/sPhkMrLv2lwX/v27XXxxRfrzTff3G37rl27qqysTF7vruVTCwsL1bVrV3Xo0EFpaWnatGlTo73069dPDz74oM4++2yVlu7bZzYeccQRGjdunNatW9fo43fffbfKy8s1e/bs6H3dunXT0UcfrcrKyujN4/Hotttu26fXBOIRE4QAYo7bnapTT53KO/2AJiJDgB0yBNgjR4AdMgTYIUNoDq1TWu/xluZOkyR1btNZ0wZMi04SJrmSNG3ANPXO7h3dNj05fbf9NsXLL7+sl19+ebf7PR6PkpKS1KFDBwWDQU2bNq3B43feead69eqlp59+WkOGDNHUqVN324fL5VKbNu0b3FdZWalXXnlFRx999G7b5+bmqn///po2bZr8fr/ee+89/f3vf9ell16qpKQkjRkzRlOnTlV5ebkCgYD+/e9/N3j+ddddp2uvvVZnnXWWKioqdtv/jh07dNddd2nTpk0yxmjz5s164YUXGv08xNdee01PPfWUXnrpJaWk7Fpm+JRTTlE4HNYTTzwhv98vv9+v999/X4WFhbvtA0gUTBACiDlud4r69uWzAoCmIkOAHTIE2CNHgB0yBNghQ3DSiMNH6M1L3tT8YfP15iVvasThI37+SU2Ql5envLy83e4/5phjdN111+nYY49Vr1691Lt3b6WmRibLV61apfnz5+vJJ5+UJM2ePVtvvfWW3njjjQb7cLmSlJ6eo1AopIyMDGVkZOiwww5TZmamHnnkkUbreeGFF/Tpp5+qY8eOuu6667RgwQIdfvjhkqRZs2apa9eu6tu3rzp16hR9/R+75ZZbdNFFF+ncc89VTU1Ng8dSU1P17bff6owzzlBmZqZOOukkHXnkkXrwwQd328/ixYu1bds29enTJ1r7jBkzlJycrNdee01vvvmmunXrpq5du+q+++5TONz8S8ICscplfri2GMBBV1xcrNzcXBUVFal79+5OlxMz/H6P5s49RRMnfqjU1AynywFaHDIE2CFDgD1yBNghQ4AdMgQbXq9XGzduVO/evZWenv7zT4hD4XBI27dvUPv2Ryspye10OQfdnn4GOJeLeMMVhABiTnJyus4+e5aSkxPzjzDAFhkC7JAhwB45AuyQIcAOGQLsuFxJysrKlcvF9AEQz5KdLgAAfiopKVl9+gxzugygxSJDgB0yBNgjR4AdMgTYIUOAHZfLpfT0bKfLANDMeAsAgJjj89Vo1qzu8vlqfn5jALshQ4AdMgTYI0eAHTIE2CFDgJ1wOKTS0k8VDoecLgVAM2KCEHBAfn6+8vLyNGjQIKdLiUkpKa00cuRipaS0croUoEUiQ4AdMgTYI0eAHTIE2CFDgB2XK0mHHHIYS4zuweDBg5WXl6f8/HynSwGsuIwxxukigETFB9sCAAAAAAAAscPr9Wrjxo3q3bu30tP5HMtEtKefAc7lIt7wFgAAMcfnq9bMmVny+aqdLgVokcgQYIcMAfbIEWCHDAF2yBBgJxwOacuWNSwxCsQ5JggBxJyUlDaaMGGlUlLaOF0K0CKRIcAOGQLskSPADhkC7JAhwI7LlaT27Y9miVEgziU7XQAA/FRSklsdO/Z1ugygxSJDgB0yBNgjR4AdMgTYIUOAHZfLxWd4AgmAtwAAiDk+X7XuusvFUiBAE5EhwA4ZAuyRI8AOGQLskCHATjgcUknJ6phaYnTGjBmaPHmy02UAcYUJQgAxJzU1Q7/9bZFSUzOcLgVokcgQYIcMAfbIEWCHDAF2yBDiVa9evdSmTRvV1tZG76urq1NmZqZ69ep1wF7H5UpSfX2W3O5kZWRkRG8jR448YK/RmPfee0+nnnqqsrOz1a5dO5155pnauHGjJOn222/XY4891qyvDyQalhgFEINcSkvLkuRyuhCghSJDgB0yBNgjR4AdMgTYIUOIX926ddOSJUs0atQoSdIrr7yiLl26yO/3H9DXcbnccrvd8ng8e90uFArJ7XZbv15VVZUuuugizZs3T8OHD1ddXZ3efvvtA7JvAI3jCkIAMcfvr9H992fL769xuhSgRSJDgB0yBNgjR4AdMgTYIUNwWqC0VLWrPlSgtPSA7/uKK67QokWLol8vXLgwOln4gxkzZqhnz57KysrSgAED9Nlnn0mStm/fri5dumjFihWSpKKiInXo0EGffvppg+cbE1ZZ2fpGX3/69Om64oordMkllygjI0P//Oc/VVhYqPPOO0/t2rXT0UcfraVLl0a3r6io0JVXXqmOHTvq0EMP1YIFCxrd71dffaW0tDSNGDFCSUlJysjI0MUXX6wePXpEX3fixImSpMmTJze4stHtduuZZ56RJH3++ec644wz1LZtW51wwglavXr1vn5rgYTDBCGAmJOamqlbb61Samqm06UALRIZAuyQIcAeOQLskCHADhlCcwjX1e355vNFt6t86SV9c+YQFY4bp2/OHKKK555ruK3Xu9t+98eZZ56pzz//XGVlZSorK9Nnn32moUOHNtjmqKOO0urVq1VeXq6zzjpLY8aMkSS1b99eTzzxhMaPH6+amhpNmDBBN954o4477rgGz3e5ktShQ9891vC3v/1N1113naqrq3Xaaafpggsu0LBhw7R161bNnz9fo0eP1tatWyVJo0ePVteuXVVUVKTXX39dt912W3TC8seOOOII+f1+TZw4UW+//baqq/f8GaKPPfaYPB6PPB6P/vGPf6hTp04688wz5fF4dM455+jGG2/U9u3b9cc//lEjRoyQ9yffcwARTBACiEFm5weJG6cLAVooMgTYIUOAPXIE2CFDgB0yhAPvy/4n7PFW/JvfSIpcObjlzmlSOBx5UjisrXff02DbomuubbDfb4YM/elL7ZXb7dall16qF198US+++KIuueSS3ZbhHDFihDp06KCUlBTdfvvt+uyzz6JLhQ4fPlynnXaaBgwYoB07dujWW29t9HWMCSkUCiknJyd6e/nllyVJAwcO1Nlnn62kpCR99tlnqq+v129+8xslJydrwIABGjhwoN544w2VlpZq+fLlmjlzptLS0nTUUUfpyiuvjO7nx7Kzs/Xee+/J5/Np9OjR6tChg6666irV1Oz5SuCioiJdeeWVWrhwoXr06KF//OMf6tu3b/R7Mnz4cHXs2FGrVq3ar+8xkCiYIAQQc/x+j2bPzpXfv/c1zgE0jgwBdsgQYI8cAXbIEGCHDMEp/k3f75ocbEajRo3Sc889p0WLFu22vKgkPfXUU+rbt6+ys7PVuXNnGWNUXl4efXzChAlav369Jk2apOTk5N2eb0xY27d/IbfbrcrKyuhtxIgRkqTu3btHty0sLNTGjRsbTCQuXbpUW7ZsUWFhobxerzp06BB97C9/+YtK97D06jHHHKNnn31WpaWl+uCDD/TBBx/ovvvua3Rbn8+nSy65RFOnTtWZZ54ZrWXFihUNatmwYYNKSkr2/ZsLJJDd0w8ADktLy9K0abzLD2gqMgTYIUOAPXIE2CFDgB0yhOZw5Jr/7PnBnVfwpfbqKSUlNZwkTErSoa/9QymdOkW//rE+776z37WceOKJqqiokCSddNJJDa6Q27Rpk6ZMmaIVK1aof//+8vl8atOmjYyJZMLv9+uGG27QuHHjNG3aNI0YMUJZWVkN9p+U5FanTsfu8fVdLld03K1bNx199NGNLhu6efNmZWRkaMeOHQ2esy9OOOEEjRgxQuvWrWv08euvv16HHnqobr755ga1DBs2TK+++up+vRaQqLiCEEDMCYdD2rZtvcLhkNOlAC0SGQLskCHAHjkC7JAhwA4ZQnNIat16z7e0NElSSufO6nL3XbsmAZOS1OXuu5TWu/eubdPTd9tvU7z88suNLtXp8XiUlJSkDh06KBgMatq0aQ0ev/POO9WrVy89/fTTGjJkiKZOnbrbPowxCgT27XP7TjnlFIXDYT3xxBPy+/3y+/16//33VVhYqG7dumnAgAG64447VFdXp2AwqDVr1qigoGC3/XzxxReaPXt29Gq/r776Sn//+9918skn77btE088oY8//ljz5s1rcP/555+vTz75REuWLFEwGFR9fb2WLl2qqqqqfeoFSDRMEAKIOYFArebNG6BAoNbpUoAWiQwBdsgQYI8cAXbIEGCHDMFJOZdeqj7/fFc9FixQn3++q5xLL22W18nLy1NeXt5u9x9zzDG67rrrdOyxx6pXr17q3bu3UlNTJUmrVq3S/Pnz9eSTT0qSZs+erbfeektvvPFGg30YE9aOHd/sUx3Jycl67bXX9Oabb6pbt27q2rWr7rvvPoV3XkW5aNEiFRcX69BDD1XHjh01ZcoU1dfX77afzMxMffDBBzrhhBPUpk0bDR06VOedd16jn5H44osv6quvvlKnTp2UkZGhjIwMLVq0SNnZ2Xrttdf06KOPqmPHjurVq1e0VwC7c5kfri0GcNAVFxcrNzdXRUVFDdbuBgAAAAAAAHDweb1ebdy4Ub1791b6T672Q2LY088A53IRb7iCEHBAfn6+8vLyNGjQIKdLiUnhcFBFRSsVDgedLgVokcgQYIcMAfbIEWCHDAF2yBBgxxgjv98jri1q3ODBg5WXl6f8/HynSwGsMEEIOGDSpEkqKCjQ8uXLnS4lJgUC9Vq8eKQCgd2XGwDw88gQYIcMAfbIEWCHDAF2yBBgx5iwKiq+lTFhp0uJScuWLVNBQYEmTZrkdCmAFZYYBRzEZekAAAAAAABA7GCJUbDEKBIFVxACiDnhcFDffPMmS4EATUSGADtkCLBHjgA7ZAiwQ4YAO8YYeb1VLDEKxDkmCAHEnGDQq7femqpg0Ot0KUCLRIYAO2QIsEeOADtkCLBDhgA7xoRVXV3EEqNAnGOJUcBBXJYOAAAAAAAAxA6WGAVLjCJRcAUhgJgTCgW0fv1ihUIBp0sBWiQyBNghQ4A9cgTYIUOAHTIE2DEmrPr6Cq4gBOIcE4QAYk4o5NeqVbMUCvmdLgVokcgQYIcMAfbIEWCHDAF2yBBgxxgjj2crn0EIxDmWGAUcxGXpAAAAAAAAQOxI9CVGp0+fruLiYs2dO9fpUiRJmzZtUp8+fRQMBg/aa7LEKBIFVxACiDmhkF9r1szlnX5AE5EhwA4ZAuyRI8AOGQLskCHEq/fee0+nnnqqsrOz1a5dO5155pnauHGjpMjE3sSJEw/I6xhjVFtb9rNLjLpcLhUXFze4b9y4cbr33nsPSB0AmhcThEATjRs3TsOHD3e6jLgUCgVUUMBnBQBNRYYAO2QIsEeOADtkCLBDhhCPqqqqdNFFF+l3v/udduzYoe+//1433HCD3G53s7ye17uDJUaBOMcEIRJCfn6+evXqpfT0dJ1yyin66KOP9rr99OnT1a9fvwb3vf/++8rJydGUKVP45djMUlPb6Kqr3lRqahunSwFaJDIE2CFDgD1yBNghQ4AdMgSneXZ4VfzlDnl2eA/YPr/66iulpaVpxIgRSkpKUkZGhi6++GL16NFDy5cv14wZM7RgwQJlZGTo3HPPlSTNmDFDPXv2VFZWlgYMGKDPPvssur+ysjJdeeWV6tixo9q3b69bb701+pjL5VK7dkeorq5egwcPbvDY/li1apWOP/54ZWVlqVu3bpo9e3b0sfz8fB1++OFq3769xo4dq9ra2uhjM2bMUKdOndSrVy+9+uqrTXrtWLK/56aBg4UJQsS9F198UVOnTtW0adO0Zs0aHXfccRo2bJi2bdu2z/t47bXXNGzYME2dOlUPPfSQXC5XM1aMYNCnlStnKRj0OV0K0CKRIcAOGQLskSPADhkC7JAhNIeAL7THWzAQim5X8O8S/fX2D/TK7E/019s/0OfLixtu6w/ttt99ccQRR8jv92vixIl6++23VV1dHX1s0KBBuv322zV27Fh5PB698cYbkqSjjjpKq1evVnl5uc466yyNGTMm+pxRo0apdevW+vbbb1VUVKSLLroo+pgxRiUlX2vYsGH65S9/qfvvv79J37MpU6bo5ptvVnV1tdatW6dBgwZJkhYvXqw5c+bonXfeUVFRkQKBgKZNmyZJev3115Wfn6/3339fa9eubfEThAfi3DTQXJggRNybNWuWrrnmGo0fP155eXmaM2eOWrdurfnz5+/T85977jmNGDFCDzzwgO68887dHr/rrrvUoUMHZWVl6f/9v/8nv5/17W0ZE1Jx8UoZs29/IAFoiAwBdsgQYI8cAXbIEGCHDKE5PHnjij3elv5lnaTIlYPLF36hHxYfM0Z674WvGmz790c/bbDfv/7hg316/ezsbL333nvy+XwaPXq0OnTooKuuuko1NTV7fM6IESPUoUMHpaSk6Pbbb9dnn30mj8ejzZs3a/ny5Xr44YeVmZmpVq1aacCAAdHn7dixQ+eff6nOOWeY7r777v38Tu2SkpKib775RhUVFWrbtq2OP/54SdK8efN02223qWfPnmrVqpVuv/12vfTSS5Iik4fXXHONjjjiCOXk5DT56sVYYXtuGmhOTBAirvn9fv3nP//R0KFDo/clJSVp6NChWrly5c8+Pz8/X+PHj9f8+fM1efLk3R5/9913tWHDBi1fvlzPP/+8Xn75Zd11110HtIdElJLSWiNHLlZKSmunSwFaJDIE2CFDgD1yBNghQ4AdMgSnVG6rV3N+MtExxxyjZ599VqWlpfrggw/0wQcf6L777tvj9k899ZT69u2r7Oxsde7cWcYYlZeXq7i4WB07dlSbNo0vw/uvf/1LpaVlmjz5hr3W43a7FQg0/KzPQCCglJQUSdLcuXO1fv169enTR6effnr0fGxhYaGuu+465eTkKCcnR6effrrKysokSVu2bFFubm50fz8etzS256aB5sYEIeLa9u3bFQqF1KlTpwb3d+rUSaWlpXt97oYNGzR58mQ98cQTGjVqVKPbpKamav78+erbt6/OO+883X333XrkkUcUDocb3d7n86m6ujp6++EdPsGayHrkQY9XQU9kHKiuV7A2shRGoKouOvbvqFWo3r9r7I38EvZXeBT2ByOvs71m17isWuGdyxz4yqplQmGZsImMw0YmFJavLLIkQTgQ2jX2B+XbXhMd+ys8kqSQNyD/jsia4KF6f3QcrPUpUFW3a1xd3+SefB6Pli+frrpt5XHTUzweJ3qK3Z58NTWRDJVVxE1P8Xic6Cl2e/JWVe/KUJz0FI/HiZ5iu6dg0Kdlr02Xt6o6bnqKx+NET7HbUzDo07LXp0UzFA89xeNxoqfY7SkY9Gn50unyVlbFTU/xeJxiuSdjjMLByD5MOKxwMKRrHx6oa2b/UhMfPD0ynrVrPGxinsKhsHI6ttJPP5nI5ZKuvOtUTXzwdF0z65e64IbjFA6GZHaeP7zqrlOi48j9JlrbHsfGqH///rp4+HCtW7dOxhhp5+MmbBQOhLRp0yZNmTJFT8+brx07dqhkc4lcLpeMMererZvKyspUV1cX7U/Szu9VWBdccIGuuOISnXvOOfJ4PJH7Qztr/NE4NzdXm77b+KPaw/r+++/VvVt3mXBYRx55pF547nltLd2qX//617riiitkwkbdunXT0/Oe1o6KHaqsrFRFWXnkdYxR506dVVhYGDkGgZCKioqiff+4v+j4J8dpt3HoJ+Odte+pp3AwFB37q+oa/uz5Ij9jNTU1Dc7x+nyNL2dsc24aOBiYIAT2oHv37urfv7/+9Kc/acuWLY1uc9xxx6l1613vRhswYIA8Hk/0F9dPzZw5U9nZ2dFbXl6eJKnyui8lScVjVql4zCpJUsklq1U8KfJOktJzPlXxbZHx9oEbVDzjw8jzTvxOJY+vliR5+paqdNFaSZK/j0dlr2+IvGiutGNl5Bd1Wscseb7aKn95jdI6ZslfXiPPV1uV1jFL0s7tdr4pp+z1DfL3ifxxV7porTx9I7+0Sh5frcoTv4vUO+NDbR8YeZ3i21aq9JzIEgnFk1aq5JLVTe6pdM4nqq4ulve4HXHTUzweJ3qK3Z5K7l+t6upi1Zy6OW56isfjRE+x21PJHyIZqjzzu7jpKR6PEz3Fdk/GhNX9Dyer5A+r46aneDxO9BS7PRkTVsd7j1HJDR/HTU/xeJzoKXZ7MiasnD/11pbxa+Kmp3g8TrHcU7jWr/A3kcmgwLY6hTb4lJLmlqnwyrUpEBlv98pV6FdKmlvhLV4Fvq1VRtt0nX52r+gkocslnT6sl9p2ai1XoV9mu1fJqW4Fv/TKvyUyeZr0XVCBbZHJ0/D6gAIVkbFZF1KwKjKRqs+k9Z98ptmzZ6v0na0KewP6suAL/eP/XtNJJ5yosDegTv7O+v777yMTrp9JHo9HSUlJal9+iILBoP546x/0gw7JOTrjhNP129/+VhXfbFXNpzu0atUq+TfXKlwe6fvu/3en+vU5VhdddJGqvyiXf2Ok3sC3tfIXRsaXDBmuu++8W1u3bpV3vUfPP7VQBQUFGtLzDAW21WnRokUq+3epTLVfmZmZcoeSFKyq19VXX637p9+vrz6PHLOt727T66/+QyYY1sjjR2revHn6cl2Bav7t0QMPPBD9HkhSsKpeZl1kwi9QUafw+kCD4yRJ/i21Cn4ZmXj2b65V8OvI99FfWKvAt5Ha/RtrG+0p+HW9Alsj21eObvj/hBUL1kuS8vLyGpzjnTlzpoAWyQBxzOfzGbfbbf72t781uH/MmDHmwgsv3OPzpk2bZo477jhTUVFhTjjhBHPkkUeakpKSBtuMHTvWDB48uMF9a9euNZLMpk2bGt2v1+s1VVVV0VtBQYGRZDYWfG2MMSZQU28CNfXGGGP8VXUm4PFGxpW10bGvwmOCdb5d43p/ZFxeY0K+QOR1yqp3jbdVmZA/GB2HgyETDoUj41DYhIMh491WZYwxJuQP7hr7AsZbVh0d+8prjDHGBOv9xlfhiYzrfNFxwOM1/sraXeOqOnqiJ3qiJ3qiJ3qiJ3qiJ3qiJ3qiJ3qiJ3qipxbVU319vVm/fr2prYnUHg6FTCgQ3H0c/Mk4GIqOq8tqTfEXFaaqrNaEd94fCgQbjkN7Goejtf14XFRYZC699FLTuXNn07p1a5Obm2um3Hij8Xq9JhwOm9LNW8ypp55qsrOzza9+9StjjDFTp041WVlZpkuXLib/sXyTlpZmNm7caMKhkCkt2WIuu+wy065dO9O+fXtz2223mXAwZO784x/NhAkTTDg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       "\n",
       "            <div style=\"display: inline-block;\">\n",
       "                <div class=\"jupyter-widgets widget-label\" style=\"text-align: center;\">\n",
       "                    Figure\n",
       "                </div>\n",
       "                <img 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width=1800.0/>\n",
       "            </div>\n",
       "        "
      ],
      "text/plain": [
       "Canvas(toolbar=Toolbar(toolitems=[('Home', 'Reset original view', 'home', 'home'), ('Back', 'Back to previous …"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# clean up previous plot - save memory\n",
    "# plt.close()\n",
    "\n",
    "fig1 = mi_list.plot(\n",
    "    free=True,\n",
    "    # stack_total=True,\n",
    "    one_blocks=True,\n",
    "    two_blocks=True,\n",
    "    max_block_size=True,\n",
    "    max_free_size=True,\n",
    "    stack_used=True,\n",
    "    size=(18, 4),\n",
    ")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "f91fab97137e4cb5b7d4693aa2503ce8",
       "version_major": 2,
       "version_minor": 0
      },
      "image/png": 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       "\n",
       "            <div style=\"display: inline-block;\">\n",
       "                <div class=\"jupyter-widgets widget-label\" style=\"text-align: center;\">\n",
       "                    Figure\n",
       "                </div>\n",
       "                <img 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width=1800.0/>\n",
       "            </div>\n",
       "        "
      ],
      "text/plain": [
       "Canvas(toolbar=Toolbar(toolitems=[('Home', 'Reset original view', 'home', 'home'), ('Back', 'Back to previous …"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.show(fig1)"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "You can also call `display` on `fig.canvas` to display the interactive plot anywhere in the notebooke\n"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Hover Over :\n",
    "\n",
    "- https://stackoverflow.com/questions/7908636/how-to-add-hovering-annotations-to-a-plot/47166787#47166787\n",
    "- https://stackoverflow.com/questions/55891285/how-to-make-labels-appear-when-hovering-over-a-point-in-multiple-axis/55892690#55892690\n",
    "-\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [],
   "source": [
    "# %%micropython\n",
    "from micropython import mem_info\n",
    "from time import gmtime, localtime, ticks_ms, time_ns\n",
    "\n",
    "\n",
    "def timestamp():\n",
    "    return time_ns() + ((ticks_ms() % 1_000_000) * 1_000)\n",
    "\n",
    "\n",
    "def log_mem(id=\"\", verbose=0):\n",
    "    print(f\"\\n*** Memory info {id} ***\")\n",
    "    # add time to the log\n",
    "    # print(f\"time:{localtime()}\")\n",
    "    print(f\"time:{timestamp()}\")\n",
    "    if verbose:\n",
    "        mem_info(1)\n",
    "    else:\n",
    "        mem_info()\n",
    "    print(\"***********************\\n\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      "*** Memory info before ***\n",
      "time:1609463914756126000\n",
      "stack: 756 out of 7936\n",
      "GC: total: 210432, used: 56848, free: 153584\n",
      " No. of 1-blocks: 814, 2-blocks: 178, max blk sz: 265, max free sz: 8278\n",
      "***********************\n",
      "\n",
      "\n",
      "*** Memory info step 0 ***\n",
      "time:1609463914764549000\n",
      "stack: 756 out of 7936\n",
      "GC: total: 210432, used: 58064, free: 152368\n",
      " No. of 1-blocks: 828, 2-blocks: 181, max blk sz: 265, max free sz: 8278\n",
      "***********************\n",
      "\n",
      "\n",
      "*** Memory info step 1 ***\n",
      "time:1609463914783072000\n",
      "stack: 756 out of 7936\n",
      "GC: total: 210432, used: 59504, free: 150928\n",
      " No. of 1-blocks: 842, 2-blocks: 184, max blk sz: 265, max free sz: 8278\n",
      "***********************\n",
      "\n",
      "\n",
      "*** Memory info step 2 ***\n",
      "time:1609463914811962000\n",
      "stack: 756 out of 7936\n",
      "GC: total: 210432, used: 57760, free: 152672\n",
      " No. of 1-blocks: 821, 2-blocks: 178, max blk sz: 265, max free sz: 8278\n",
      "***********************\n",
      "\n",
      "\n",
      "*** Memory info step 3 ***\n",
      "time:1609463914830076000\n",
      "stack: 756 out of 7936\n",
      "GC: total: 210432, used: 58752, free: 151680\n",
      " No. of 1-blocks: 835, 2-blocks: 181, max blk sz: 265, max free sz: 8278\n",
      "***********************\n",
      "\n",
      "\n",
      "*** Memory info step 4 ***\n",
      "time:1609463914848314000\n",
      "stack: 756 out of 7936\n",
      "GC: total: 210432, used: 60080, free: 150352\n",
      " No. of 1-blocks: 849, 2-blocks: 184, max blk sz: 265, max free sz: 8278\n",
      "***********************\n",
      "\n",
      "\n",
      "*** Memory info step 5 ***\n",
      "time:1609463914866550000\n",
      "stack: 756 out of 7936\n",
      "GC: total: 210432, used: 61008, free: 149424\n",
      " No. of 1-blocks: 863, 2-blocks: 187, max blk sz: 265, max free sz: 8278\n",
      "***********************\n",
      "\n",
      "\n",
      "*** Memory info step 6 ***\n",
      "time:1609463914895411000\n",
      "stack: 756 out of 7936\n",
      "GC: total: 210432, used: 58064, free: 152368\n",
      " No. of 1-blocks: 821, 2-blocks: 178, max blk sz: 265, max free sz: 8278\n",
      "***********************\n",
      "\n",
      "\n",
      "*** Memory info step 7 ***\n",
      "time:1609463914913662000\n",
      "stack: 756 out of 7936\n",
      "GC: total: 210432, used: 59760, free: 150672\n",
      " No. of 1-blocks: 835, 2-blocks: 181, max blk sz: 265, max free sz: 8278\n",
      "***********************\n",
      "\n",
      "\n",
      "*** Memory info step 8 ***\n",
      "time:1609463914931885000\n",
      "stack: 756 out of 7936\n",
      "GC: total: 210432, used: 58176, free: 152256\n",
      " No. of 1-blocks: 813, 2-blocks: 176, max blk sz: 265, max free sz: 8278\n",
      "***********************\n",
      "\n",
      "\n",
      "*** Memory info step 9 ***\n",
      "time:1609463914960691000\n",
      "stack: 756 out of 7936\n",
      "GC: total: 210432, used: 59264, free: 151168\n",
      " No. of 1-blocks: 827, 2-blocks: 179, max blk sz: 265, max free sz: 8278\n",
      "***********************\n",
      "\n",
      "\n",
      "*** Memory info step 10 ***\n",
      "time:1609463914978905000\n",
      "stack: 756 out of 7936\n",
      "GC: total: 210432, used: 60896, free: 149536\n",
      " No. of 1-blocks: 841, 2-blocks: 182, max blk sz: 265, max free sz: 8278\n",
      "***********************\n",
      "\n",
      "\n",
      "*** Memory info step 11 ***\n",
      "time:1609463914997133000\n",
      "stack: 756 out of 7936\n",
      "GC: total: 210432, used: 57680, free: 152752\n",
      " No. of 1-blocks: 816, 2-blocks: 177, max blk sz: 265, max free sz: 8278\n",
      "***********************\n",
      "\n",
      "\n",
      "*** Memory info step 12 ***\n",
      "time:1609463915026161000\n",
      "stack: 756 out of 7936\n",
      "GC: total: 210432, used: 59360, free: 151072\n",
      " No. of 1-blocks: 830, 2-blocks: 180, max blk sz: 265, max free sz: 8278\n",
      "***********************\n",
      "\n",
      "\n",
      "*** Memory info step 13 ***\n",
      "time:1609463915044259000\n",
      "stack: 756 out of 7936\n",
      "GC: total: 210432, used: 60320, free: 150112\n",
      " No. of 1-blocks: 844, 2-blocks: 183, max blk sz: 265, max free sz: 8278\n",
      "***********************\n",
      "\n",
      "\n",
      "*** Memory info step 14 ***\n",
      "time:1609463915073228000\n",
      "stack: 756 out of 7936\n",
      "GC: total: 210432, used: 58304, free: 152128\n",
      " No. of 1-blocks: 821, 2-blocks: 178, max blk sz: 265, max free sz: 8278\n",
      "***********************\n",
      "\n",
      "\n",
      "*** Memory info step 15 ***\n",
      "time:1609463915091498000\n",
      "stack: 756 out of 7936\n",
      "GC: total: 210432, used: 59952, free: 150480\n",
      " No. of 1-blocks: 835, 2-blocks: 181, max blk sz: 265, max free sz: 8278\n",
      "***********************\n",
      "\n",
      "\n",
      "*** Memory info step 16 ***\n",
      "time:1609463915109743000\n",
      "stack: 756 out of 7936\n",
      "GC: total: 210432, used: 61648, free: 148784\n",
      " No. of 1-blocks: 849, 2-blocks: 184, max blk sz: 265, max free sz: 8278\n",
      "***********************\n",
      "\n",
      "\n",
      "*** Memory info step 17 ***\n",
      "time:1609463915138499000\n",
      "stack: 756 out of 7936\n",
      "GC: total: 210432, used: 59104, free: 151328\n",
      " No. of 1-blocks: 822, 2-blocks: 178, max blk sz: 265, max free sz: 8278\n",
      "***********************\n",
      "\n",
      "\n",
      "*** Memory info step 18 ***\n",
      "time:1609463915156724000\n",
      "stack: 756 out of 7936\n",
      "GC: total: 210432, used: 60272, free: 150160\n",
      " No. of 1-blocks: 836, 2-blocks: 181, max blk sz: 265, max free sz: 8278\n",
      "***********************\n",
      "\n",
      "\n",
      "*** Memory info step 19 ***\n",
      "time:1609463915174936000\n",
      "stack: 756 out of 7936\n",
      "GC: total: 210432, used: 61376, free: 149056\n",
      " No. of 1-blocks: 850, 2-blocks: 184, max blk sz: 265, max free sz: 8278\n",
      "***********************\n",
      "\n",
      "\n",
      "*** Memory info step 20 ***\n",
      "time:1609463915203751000\n",
      "stack: 756 out of 7936\n",
      "GC: total: 210432, used: 57632, free: 152800\n",
      " No. of 1-blocks: 821, 2-blocks: 178, max blk sz: 265, max free sz: 8278\n",
      "***********************\n",
      "\n",
      "\n",
      "*** Memory info step 21 ***\n",
      "time:1609463915221829000\n",
      "stack: 756 out of 7936\n",
      "GC: total: 210432, used: 58992, free: 151440\n",
      " No. of 1-blocks: 835, 2-blocks: 181, max blk sz: 265, max free sz: 8278\n",
      "***********************\n",
      "\n",
      "\n",
      "*** Memory info step 22 ***\n",
      "time:1609463915240044000\n",
      "stack: 756 out of 7936\n",
      "GC: total: 210432, used: 60272, free: 150160\n",
      " No. of 1-blocks: 849, 2-blocks: 184, max blk sz: 265, max free sz: 8278\n",
      "***********************\n",
      "\n",
      "\n",
      "*** Memory info step 23 ***\n",
      "time:1609463915268955000\n",
      "stack: 756 out of 7936\n",
      "GC: total: 210432, used: 58080, free: 152352\n",
      " No. of 1-blocks: 821, 2-blocks: 178, max blk sz: 265, max free sz: 8278\n",
      "***********************\n",
      "\n",
      "\n",
      "*** Memory info step 24 ***\n",
      "time:1609463915287205000\n",
      "stack: 756 out of 7936\n",
      "GC: total: 210432, used: 59696, free: 150736\n",
      " No. of 1-blocks: 835, 2-blocks: 181, max blk sz: 265, max free sz: 8278\n",
      "***********************\n",
      "\n",
      "\n",
      "*** Memory info step 25 ***\n",
      "time:1609463915305248000\n",
      "stack: 756 out of 7936\n",
      "GC: total: 210432, used: 60592, free: 149840\n",
      " No. of 1-blocks: 849, 2-blocks: 184, max blk sz: 265, max free sz: 8278\n",
      "***********************\n",
      "\n",
      "\n",
      "*** Memory info step 26 ***\n",
      "time:1609463915334142000\n",
      "stack: 756 out of 7936\n",
      "GC: total: 210432, used: 58048, free: 152384\n",
      " No. of 1-blocks: 821, 2-blocks: 178, max blk sz: 265, max free sz: 8278\n",
      "***********************\n",
      "\n",
      "\n",
      "*** Memory info step 27 ***\n",
      "time:1609463915352210000\n",
      "stack: 756 out of 7936\n",
      "GC: total: 210432, used: 59216, free: 151216\n",
      " No. of 1-blocks: 835, 2-blocks: 181, max blk sz: 265, max free sz: 8278\n",
      "***********************\n",
      "\n",
      "\n",
      "*** Memory info step 28 ***\n",
      "time:1609463915370405000\n",
      "stack: 756 out of 7936\n",
      "GC: total: 210432, used: 60672, free: 149760\n",
      " No. of 1-blocks: 849, 2-blocks: 184, max blk sz: 265, max free sz: 8278\n",
      "***********************\n",
      "\n",
      "\n",
      "*** Memory info step 29 ***\n",
      "time:1609463915399282000\n",
      "stack: 756 out of 7936\n",
      "GC: total: 210432, used: 58016, free: 152416\n",
      " No. of 1-blocks: 821, 2-blocks: 178, max blk sz: 265, max free sz: 8278\n",
      "***********************\n",
      "\n",
      "\n",
      "*** Memory info step 30 ***\n",
      "time:1609463915417376000\n",
      "stack: 756 out of 7936\n",
      "GC: total: 210432, used: 59360, free: 151072\n",
      " No. of 1-blocks: 835, 2-blocks: 181, max blk sz: 265, max free sz: 8278\n",
      "***********************\n",
      "\n",
      "\n",
      "*** Memory info step 31 ***\n",
      "time:1609463915435587000\n",
      "stack: 756 out of 7936\n",
      "GC: total: 210432, used: 60384, free: 150048\n",
      " No. of 1-blocks: 849, 2-blocks: 184, max blk sz: 265, max free sz: 8278\n",
      "***********************\n",
      "\n",
      "\n",
      "*** Memory info step 32 ***\n",
      "time:1609463915464499000\n",
      "stack: 756 out of 7936\n",
      "GC: total: 210432, used: 58416, free: 152016\n",
      " No. of 1-blocks: 821, 2-blocks: 178, max blk sz: 265, max free sz: 8278\n",
      "***********************\n",
      "\n",
      "\n",
      "*** Memory info step 33 ***\n",
      "time:1609463915482774000\n",
      "stack: 756 out of 7936\n",
      "GC: total: 210432, used: 59936, free: 150496\n",
      " No. of 1-blocks: 835, 2-blocks: 181, max blk sz: 265, max free sz: 8278\n",
      "***********************\n",
      "\n",
      "\n",
      "*** Memory info step 34 ***\n",
      "time:1609463915501026000\n",
      "stack: 756 out of 7936\n",
      "GC: total: 210432, used: 61392, free: 149040\n",
      " No. of 1-blocks: 849, 2-blocks: 184, max blk sz: 265, max free sz: 8278\n",
      "***********************\n",
      "\n",
      "\n",
      "*** Memory info step 35 ***\n",
      "time:1609463915529954000\n",
      "stack: 756 out of 7936\n",
      "GC: total: 210432, used: 58336, free: 152096\n",
      " No. of 1-blocks: 821, 2-blocks: 178, max blk sz: 265, max free sz: 8278\n",
      "***********************\n",
      "\n",
      "\n",
      "*** Memory info step 36 ***\n",
      "time:1609463915548211000\n",
      "stack: 756 out of 7936\n",
      "GC: total: 210432, used: 59840, free: 150592\n",
      " No. of 1-blocks: 835, 2-blocks: 181, max blk sz: 265, max free sz: 8278\n",
      "***********************\n",
      "\n",
      "\n",
      "*** Memory info step 37 ***\n",
      "time:1609463915566260000\n",
      "stack: 756 out of 7936\n",
      "GC: total: 210432, used: 60768, free: 149664\n",
      " No. of 1-blocks: 849, 2-blocks: 184, max blk sz: 265, max free sz: 8278\n",
      "***********************\n",
      "\n",
      "\n",
      "*** Memory info step 38 ***\n",
      "time:1609463915595217000\n",
      "stack: 756 out of 7936\n",
      "GC: total: 210432, used: 58416, free: 152016\n",
      " No. of 1-blocks: 821, 2-blocks: 178, max blk sz: 265, max free sz: 8278\n",
      "***********************\n",
      "\n",
      "\n",
      "*** Memory info step 39 ***\n",
      "time:1609463915613298000\n",
      "stack: 756 out of 7936\n",
      "GC: total: 210432, used: 59440, free: 150992\n",
      " No. of 1-blocks: 835, 2-blocks: 181, max blk sz: 265, max free sz: 8278\n",
      "***********************\n",
      "\n",
      "\n",
      "*** Memory info step 40 ***\n",
      "time:1609463915631504000\n",
      "stack: 756 out of 7936\n",
      "GC: total: 210432, used: 60640, free: 149792\n",
      " No. of 1-blocks: 849, 2-blocks: 184, max blk sz: 265, max free sz: 8278\n",
      "***********************\n",
      "\n",
      "\n",
      "*** Memory info step 41 ***\n",
      "time:1609463915649726000\n",
      "stack: 756 out of 7936\n",
      "GC: total: 210432, used: 57744, free: 152688\n",
      " No. of 1-blocks: 816, 2-blocks: 177, max blk sz: 265, max free sz: 8278\n",
      "***********************\n",
      "\n",
      "\n",
      "*** Memory info step 42 ***\n",
      "time:1609463915678757000\n",
      "stack: 756 out of 7936\n",
      "GC: total: 210432, used: 59248, free: 151184\n",
      " No. of 1-blocks: 830, 2-blocks: 180, max blk sz: 265, max free sz: 8278\n",
      "***********************\n",
      "\n",
      "\n",
      "*** Memory info step 43 ***\n",
      "time:1609463915697025000\n",
      "stack: 756 out of 7936\n",
      "GC: total: 210432, used: 61072, free: 149360\n",
      " No. of 1-blocks: 844, 2-blocks: 183, max blk sz: 265, max free sz: 8278\n",
      "***********************\n",
      "\n",
      "\n",
      "*** Memory info step 44 ***\n",
      "time:1609463915725724000\n",
      "stack: 756 out of 7936\n",
      "GC: total: 210432, used: 57952, free: 152480\n",
      " No. of 1-blocks: 821, 2-blocks: 178, max blk sz: 265, max free sz: 8278\n",
      "***********************\n",
      "\n",
      "\n",
      "*** Memory info step 45 ***\n",
      "time:1609463915743975000\n",
      "stack: 756 out of 7936\n",
      "GC: total: 210432, used: 59248, free: 151184\n",
      " No. of 1-blocks: 835, 2-blocks: 181, max blk sz: 265, max free sz: 8278\n",
      "***********************\n",
      "\n",
      "\n",
      "*** Memory info step 46 ***\n",
      "time:1609463915762238000\n",
      "stack: 756 out of 7936\n",
      "GC: total: 210432, used: 60592, free: 149840\n",
      " No. of 1-blocks: 849, 2-blocks: 184, max blk sz: 265, max free sz: 8278\n",
      "***********************\n",
      "\n",
      "\n",
      "*** Memory info step 47 ***\n",
      "time:1609463915791063000\n",
      "stack: 756 out of 7936\n",
      "GC: total: 210432, used: 57744, free: 152688\n",
      " No. of 1-blocks: 821, 2-blocks: 178, max blk sz: 265, max free sz: 8278\n",
      "***********************\n",
      "\n",
      "\n",
      "*** Memory info step 48 ***\n",
      "time:1609463915809151000\n",
      "stack: 756 out of 7936\n",
      "GC: total: 210432, used: 58976, free: 151456\n",
      " No. of 1-blocks: 835, 2-blocks: 181, max blk sz: 265, max free sz: 8278\n",
      "***********************\n",
      "\n",
      "\n",
      "*** Memory info step 49 ***\n",
      "time:1609463915827319000\n",
      "stack: 756 out of 7936\n",
      "GC: total: 210432, used: 59808, free: 150624\n",
      " No. of 1-blocks: 849, 2-blocks: 184, max blk sz: 265, max free sz: 8278\n",
      "***********************\n",
      "\n",
      "\n",
      "*** Memory info step 50 ***\n",
      "time:1609463915856201000\n",
      "stack: 756 out of 7936\n",
      "GC: total: 210432, used: 58144, free: 152288\n",
      " No. of 1-blocks: 820, 2-blocks: 178, max blk sz: 265, max free sz: 8278\n",
      "***********************\n",
      "\n",
      "\n",
      "*** Memory info step 51 ***\n",
      "time:1609463915874296000\n",
      "stack: 756 out of 7936\n",
      "GC: total: 210432, used: 59040, free: 151392\n",
      " No. of 1-blocks: 834, 2-blocks: 181, max blk sz: 265, max free sz: 8278\n",
      "***********************\n",
      "\n",
      "\n",
      "*** Memory info step 52 ***\n",
      "time:1609463915892552000\n",
      "stack: 756 out of 7936\n",
      "GC: total: 210432, used: 60240, free: 150192\n",
      " No. of 1-blocks: 848, 2-blocks: 184, max blk sz: 265, max free sz: 8278\n",
      "***********************\n",
      "\n",
      "\n",
      "*** Memory info step 53 ***\n",
      "time:1609463915921519000\n",
      "stack: 756 out of 7936\n",
      "GC: total: 210432, used: 58448, free: 151984\n",
      " No. of 1-blocks: 821, 2-blocks: 178, max blk sz: 265, max free sz: 8278\n",
      "***********************\n",
      "\n",
      "\n",
      "*** Memory info step 54 ***\n",
      "time:1609463915939581000\n",
      "stack: 756 out of 7936\n",
      "GC: total: 210432, used: 59616, free: 150816\n",
      " No. of 1-blocks: 835, 2-blocks: 181, max blk sz: 265, max free sz: 8278\n",
      "***********************\n",
      "\n",
      "\n",
      "*** Memory info step 55 ***\n",
      "time:1609463915957767000\n",
      "stack: 756 out of 7936\n",
      "GC: total: 210432, used: 61008, free: 149424\n",
      " No. of 1-blocks: 849, 2-blocks: 184, max blk sz: 265, max free sz: 8278\n",
      "***********************\n",
      "\n",
      "\n",
      "*** Memory info step 56 ***\n",
      "time:1609463915986689000\n",
      "stack: 756 out of 7936\n",
      "GC: total: 210432, used: 58224, free: 152208\n",
      " No. of 1-blocks: 821, 2-blocks: 178, max blk sz: 265, max free sz: 8278\n",
      "***********************\n",
      "\n",
      "\n",
      "*** Memory info step 57 ***\n",
      "time:1609463916004750000\n",
      "stack: 756 out of 7936\n",
      "GC: total: 210432, used: 59456, free: 150976\n",
      " No. of 1-blocks: 835, 2-blocks: 181, max blk sz: 265, max free sz: 8278\n",
      "***********************\n",
      "\n",
      "\n",
      "*** Memory info step 58 ***\n",
      "time:1609463916022966000\n",
      "stack: 756 out of 7936\n",
      "GC: total: 210432, used: 60928, free: 149504\n",
      " No. of 1-blocks: 849, 2-blocks: 184, max blk sz: 265, max free sz: 8278\n",
      "***********************\n",
      "\n",
      "\n",
      "*** Memory info step 59 ***\n",
      "time:1609463916051814000\n",
      "stack: 756 out of 7936\n",
      "GC: total: 210432, used: 57616, free: 152816\n",
      " No. of 1-blocks: 821, 2-blocks: 178, max blk sz: 265, max free sz: 8278\n",
      "***********************\n",
      "\n",
      "\n",
      "*** Memory info step 60 ***\n",
      "time:1609463916069887000\n",
      "stack: 756 out of 7936\n",
      "GC: total: 210432, used: 58592, free: 151840\n",
      " No. of 1-blocks: 835, 2-blocks: 181, max blk sz: 265, max free sz: 8278\n",
      "***********************\n",
      "\n",
      "\n",
      "*** Memory info step 61 ***\n",
      "time:1609463916088126000\n",
      "stack: 756 out of 7936\n",
      "GC: total: 210432, used: 59728, free: 150704\n",
      " No. of 1-blocks: 849, 2-blocks: 184, max blk sz: 265, max free sz: 8278\n",
      "***********************\n",
      "\n",
      "\n",
      "*** Memory info step 62 ***\n",
      "time:1609463916117052000\n",
      "stack: 756 out of 7936\n",
      "GC: total: 210432, used: 58336, free: 152096\n",
      " No. of 1-blocks: 821, 2-blocks: 178, max blk sz: 265, max free sz: 8278\n",
      "***********************\n",
      "\n",
      "\n",
      "*** Memory info step 63 ***\n",
      "time:1609463916135268000\n",
      "stack: 756 out of 7936\n",
      "GC: total: 210432, used: 59936, free: 150496\n",
      " No. of 1-blocks: 835, 2-blocks: 181, max blk sz: 265, max free sz: 8278\n",
      "***********************\n",
      "\n",
      "\n",
      "*** Memory info step 64 ***\n",
      "time:1609463916153490000\n",
      "stack: 756 out of 7936\n",
      "GC: total: 210432, used: 58272, free: 152160\n",
      " No. of 1-blocks: 813, 2-blocks: 176, max blk sz: 265, max free sz: 8278\n",
      "***********************\n",
      "\n",
      "\n",
      "*** Memory info step 65 ***\n",
      "time:1609463916182497000\n",
      "stack: 756 out of 7936\n",
      "GC: total: 210432, used: 60016, free: 150416\n",
      " No. of 1-blocks: 827, 2-blocks: 179, max blk sz: 265, max free sz: 8278\n",
      "***********************\n",
      "\n",
      "\n",
      "*** Memory info step 66 ***\n",
      "time:1609463916200526000\n",
      "stack: 756 out of 7936\n",
      "GC: total: 210432, used: 61072, free: 149360\n",
      " No. of 1-blocks: 841, 2-blocks: 182, max blk sz: 265, max free sz: 8278\n",
      "***********************\n",
      "\n",
      "\n",
      "*** Memory info step 67 ***\n",
      "time:1609463916229433000\n",
      "stack: 756 out of 7936\n",
      "GC: total: 210432, used: 58160, free: 152272\n",
      " No. of 1-blocks: 821, 2-blocks: 178, max blk sz: 265, max free sz: 8278\n",
      "***********************\n",
      "\n",
      "\n",
      "*** Memory info step 68 ***\n",
      "time:1609463916247678000\n",
      "stack: 756 out of 7936\n",
      "GC: total: 210432, used: 59632, free: 150800\n",
      " No. of 1-blocks: 835, 2-blocks: 181, max blk sz: 265, max free sz: 8278\n",
      "***********************\n",
      "\n",
      "\n",
      "*** Memory info step 69 ***\n",
      "time:1609463916265735000\n",
      "stack: 756 out of 7936\n",
      "GC: total: 210432, used: 60992, free: 149440\n",
      " No. of 1-blocks: 849, 2-blocks: 184, max blk sz: 265, max free sz: 8278\n",
      "***********************\n",
      "\n",
      "\n",
      "*** Memory info step 70 ***\n",
      "time:1609463916294622000\n",
      "stack: 756 out of 7936\n",
      "GC: total: 210432, used: 57936, free: 152496\n",
      " No. of 1-blocks: 821, 2-blocks: 178, max blk sz: 265, max free sz: 8278\n",
      "***********************\n",
      "\n",
      "\n",
      "*** Memory info step 71 ***\n",
      "time:1609463916312701000\n",
      "stack: 756 out of 7936\n",
      "GC: total: 210432, used: 59200, free: 151232\n",
      " No. of 1-blocks: 835, 2-blocks: 181, max blk sz: 265, max free sz: 8278\n",
      "***********************\n",
      "\n",
      "\n",
      "*** Memory info step 72 ***\n",
      "time:1609463916330889000\n",
      "stack: 756 out of 7936\n",
      "GC: total: 210432, used: 60688, free: 149744\n",
      " No. of 1-blocks: 849, 2-blocks: 184, max blk sz: 265, max free sz: 8278\n",
      "***********************\n",
      "\n",
      "\n",
      "*** Memory info step 73 ***\n",
      "time:1609463916359760000\n",
      "stack: 756 out of 7936\n",
      "GC: total: 210432, used: 57984, free: 152448\n",
      " No. of 1-blocks: 821, 2-blocks: 178, max blk sz: 265, max free sz: 8278\n",
      "***********************\n",
      "\n",
      "\n",
      "*** Memory info step 74 ***\n",
      "time:1609463916377828000\n",
      "stack: 756 out of 7936\n",
      "GC: total: 210432, used: 59328, free: 151104\n",
      " No. of 1-blocks: 835, 2-blocks: 181, max blk sz: 265, max free sz: 8278\n",
      "***********************\n",
      "\n",
      "\n",
      "*** Memory info step 75 ***\n",
      "time:1609463916396059000\n",
      "stack: 756 out of 7936\n",
      "GC: total: 210432, used: 60816, free: 149616\n",
      " No. of 1-blocks: 849, 2-blocks: 184, max blk sz: 265, max free sz: 8278\n",
      "***********************\n",
      "\n",
      "\n",
      "*** Memory info step 76 ***\n",
      "time:1609463916424889000\n",
      "stack: 756 out of 7936\n",
      "GC: total: 210432, used: 57632, free: 152800\n",
      " No. of 1-blocks: 821, 2-blocks: 178, max blk sz: 265, max free sz: 8278\n",
      "***********************\n",
      "\n",
      "\n",
      "*** Memory info step 77 ***\n",
      "time:1609463916443150000\n",
      "stack: 756 out of 7936\n",
      "GC: total: 210432, used: 59440, free: 150992\n",
      " No. of 1-blocks: 835, 2-blocks: 181, max blk sz: 265, max free sz: 8278\n",
      "***********************\n",
      "\n",
      "\n",
      "*** Memory info step 78 ***\n",
      "time:1609463916461187000\n",
      "stack: 756 out of 7936\n",
      "GC: total: 210432, used: 60544, free: 149888\n",
      " No. of 1-blocks: 849, 2-blocks: 184, max blk sz: 265, max free sz: 8278\n",
      "***********************\n",
      "\n",
      "\n",
      "*** Memory info step 79 ***\n",
      "time:1609463916490006000\n",
      "stack: 756 out of 7936\n",
      "GC: total: 210432, used: 57632, free: 152800\n",
      " No. of 1-blocks: 821, 2-blocks: 178, max blk sz: 265, max free sz: 8278\n",
      "***********************\n",
      "\n",
      "\n",
      "*** Memory info step 80 ***\n",
      "time:1609463916508250000\n",
      "stack: 756 out of 7936\n",
      "GC: total: 210432, used: 59136, free: 151296\n",
      " No. of 1-blocks: 835, 2-blocks: 181, max blk sz: 265, max free sz: 8278\n",
      "***********************\n",
      "\n",
      "\n",
      "*** Memory info step 81 ***\n",
      "time:1609463916526295000\n",
      "stack: 756 out of 7936\n",
      "GC: total: 210432, used: 60160, free: 150272\n",
      " No. of 1-blocks: 849, 2-blocks: 184, max blk sz: 265, max free sz: 8278\n",
      "***********************\n",
      "\n",
      "\n",
      "*** Memory info step 82 ***\n",
      "time:1609463916555199000\n",
      "stack: 756 out of 7936\n",
      "GC: total: 210432, used: 57968, free: 152464\n",
      " No. of 1-blocks: 821, 2-blocks: 178, max blk sz: 265, max free sz: 8278\n",
      "***********************\n",
      "\n",
      "\n",
      "*** Memory info step 83 ***\n",
      "time:1609463916573273000\n",
      "stack: 756 out of 7936\n",
      "GC: total: 210432, used: 59312, free: 151120\n",
      " No. of 1-blocks: 835, 2-blocks: 181, max blk sz: 265, max free sz: 8278\n",
      "***********************\n",
      "\n",
      "\n",
      "*** Memory info step 84 ***\n",
      "time:1609463916591495000\n",
      "stack: 756 out of 7936\n",
      "GC: total: 210432, used: 60880, free: 149552\n",
      " No. of 1-blocks: 849, 2-blocks: 184, max blk sz: 265, max free sz: 8278\n",
      "***********************\n",
      "\n",
      "\n",
      "*** Memory info step 85 ***\n",
      "time:1609463916620331000\n",
      "stack: 756 out of 7936\n",
      "GC: total: 210432, used: 57728, free: 152704\n",
      " No. of 1-blocks: 821, 2-blocks: 178, max blk sz: 265, max free sz: 8278\n",
      "***********************\n",
      "\n",
      "\n",
      "*** Memory info step 86 ***\n",
      "time:1609463916638569000\n",
      "stack: 756 out of 7936\n",
      "GC: total: 210432, used: 59408, free: 151024\n",
      " No. of 1-blocks: 835, 2-blocks: 181, max blk sz: 265, max free sz: 8278\n",
      "***********************\n",
      "\n",
      "\n",
      "*** Memory info step 87 ***\n",
      "time:1609463916656606000\n",
      "stack: 756 out of 7936\n",
      "GC: total: 210432, used: 60256, free: 150176\n",
      " No. of 1-blocks: 849, 2-blocks: 184, max blk sz: 265, max free sz: 8278\n",
      "***********************\n",
      "\n",
      "\n",
      "*** Memory info step 88 ***\n",
      "time:1609463916685488000\n",
      "stack: 756 out of 7936\n",
      "GC: total: 210432, used: 57840, free: 152592\n",
      " No. of 1-blocks: 821, 2-blocks: 178, max blk sz: 265, max free sz: 8278\n",
      "***********************\n",
      "\n",
      "\n",
      "*** Memory info step 89 ***\n",
      "time:1609463916703564000\n",
      "stack: 756 out of 7936\n",
      "GC: total: 210432, used: 59216, free: 151216\n",
      " No. of 1-blocks: 835, 2-blocks: 181, max blk sz: 265, max free sz: 8278\n",
      "***********************\n",
      "\n",
      "\n",
      "*** Memory info step 90 ***\n",
      "time:1609463916721770000\n",
      "stack: 756 out of 7936\n",
      "GC: total: 210432, used: 60608, free: 149824\n",
      " No. of 1-blocks: 849, 2-blocks: 184, max blk sz: 265, max free sz: 8278\n",
      "***********************\n",
      "\n",
      "\n",
      "*** Memory info step 91 ***\n",
      "time:1609463916750566000\n",
      "stack: 756 out of 7936\n",
      "GC: total: 210432, used: 57600, free: 152832\n",
      " No. of 1-blocks: 821, 2-blocks: 178, max blk sz: 265, max free sz: 8278\n",
      "***********************\n",
      "\n",
      "\n",
      "*** Memory info step 92 ***\n",
      "time:1609463916768639000\n",
      "stack: 756 out of 7936\n",
      "GC: total: 210432, used: 58800, free: 151632\n",
      " No. of 1-blocks: 835, 2-blocks: 181, max blk sz: 265, max free sz: 8278\n",
      "***********************\n",
      "\n",
      "\n",
      "*** Memory info step 93 ***\n",
      "time:1609463916786821000\n",
      "stack: 756 out of 7936\n",
      "GC: total: 210432, used: 59648, free: 150784\n",
      " No. of 1-blocks: 849, 2-blocks: 184, max blk sz: 265, max free sz: 8278\n",
      "***********************\n",
      "\n",
      "\n",
      "*** Memory info step 94 ***\n",
      "time:1609463916805012000\n",
      "stack: 756 out of 7936\n",
      "GC: total: 210432, used: 60528, free: 149904\n",
      " No. of 1-blocks: 863, 2-blocks: 187, max blk sz: 265, max free sz: 8278\n",
      "***********************\n",
      "\n",
      "\n",
      "*** Memory info step 95 ***\n",
      "time:1609463916833829000\n",
      "stack: 756 out of 7936\n",
      "GC: total: 210432, used: 57472, free: 152960\n",
      " No. of 1-blocks: 821, 2-blocks: 178, max blk sz: 265, max free sz: 8278\n",
      "***********************\n",
      "\n",
      "\n",
      "*** Memory info step 96 ***\n",
      "time:1609463916851907000\n",
      "stack: 756 out of 7936\n",
      "GC: total: 210432, used: 58624, free: 151808\n",
      " No. of 1-blocks: 835, 2-blocks: 181, max blk sz: 265, max free sz: 8278\n",
      "***********************\n",
      "\n",
      "\n",
      "*** Memory info step 97 ***\n",
      "time:1609463916870139000\n",
      "stack: 756 out of 7936\n",
      "GC: total: 210432, used: 59856, free: 150576\n",
      " No. of 1-blocks: 849, 2-blocks: 184, max blk sz: 265, max free sz: 8278\n",
      "***********************\n",
      "\n",
      "\n",
      "*** Memory info step 98 ***\n",
      "time:1609463916899037000\n",
      "stack: 756 out of 7936\n",
      "GC: total: 210432, used: 58128, free: 152304\n",
      " No. of 1-blocks: 821, 2-blocks: 178, max blk sz: 265, max free sz: 8278\n",
      "***********************\n",
      "\n",
      "\n",
      "*** Memory info step 99 ***\n",
      "time:1609463916917291000\n",
      "stack: 756 out of 7936\n",
      "GC: total: 210432, used: 59872, free: 150560\n",
      " No. of 1-blocks: 835, 2-blocks: 181, max blk sz: 265, max free sz: 8278\n",
      "***********************\n",
      "\n",
      "\n",
      "*** Memory info after ***\n",
      "time:1609463916934879000\n",
      "stack: 756 out of 7936\n",
      "GC: total: 210432, used: 60080, free: 150352\n",
      " No. of 1-blocks: 842, 2-blocks: 184, max blk sz: 265, max free sz: 8278\n",
      "***********************\n",
      "\n"
     ]
    }
   ],
   "source": [
    "# %%micropython\n",
    "import time\n",
    "import random\n",
    "\n",
    "log_mem(\"before\")\n",
    "for n in range(100):\n",
    "    block = bytearray(500 + random.randint(0, 1000))\n",
    "    log_mem(f\"step {n}\")\n",
    "    time.sleep_ms(10)\n",
    "\n",
    "log_mem(\"after\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [],
   "source": [
    "output = _\n",
    "# log_text = __\n",
    "log_text = list(output)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Loaded and parsed 102 memory_info records from the log file\n"
     ]
    }
   ],
   "source": [
    "from micropython_magic.memoryinfo import MemoryInfoList\n",
    "\n",
    "mi_list = MemoryInfoList(show_free=False)\n",
    "print(f\"Loaded and parsed {len(mi_list.parse_log(log_text))} memory_info records from the log file\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "0d14157799db42c688064a34d3d2694c",
       "version_major": 2,
       "version_minor": 0
      },
      "image/png": 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",
      "text/html": [
       "\n",
       "            <div style=\"display: inline-block;\">\n",
       "                <div class=\"jupyter-widgets widget-label\" style=\"text-align: center;\">\n",
       "                    Figure\n",
       "                </div>\n",
       "                <img 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' width=1800.0/>\n",
       "            </div>\n",
       "        "
      ],
      "text/plain": [
       "Canvas(toolbar=Toolbar(toolitems=[('Home', 'Reset original view', 'home', 'home'), ('Back', 'Back to previous …"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "p2 = mi_list.plot(\n",
    "    free=True,\n",
    "    stack_total=True,\n",
    "    one_blocks=True,\n",
    "    two_blocks=True,\n",
    "    # max_block_size=True,\n",
    "    max_free_size=True,\n",
    "    # stack_used=True,\n",
    "    size=(18, 4),\n",
    "    time_axis=False,\n",
    ")"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Plot with many text-labels on the x-axis\n",
    "Labels are plotted sparly - and additional labels are added when zooming in\n"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3 (ipykernel)",
   "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": "3.11.7"
  },
  "widgets": {
   "application/vnd.jupyter.widget-state+json": {
    "state": {},
    "version_major": 2,
    "version_minor": 0
   }
  }
 },
 "nbformat": 4,
 "nbformat_minor": 4
}