{
 "cells": [
  {
   "cell_type": "markdown",
   "id": "e79cf444",
   "metadata": {},
   "source": [
    "# Setting memory limits"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "7bd667b3",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2023-05-10T21:54:08.946345Z",
     "start_time": "2023-05-10T21:54:06.442583Z"
    }
   },
   "outputs": [],
   "source": [
    "import aopy"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "6b56744b",
   "metadata": {},
   "source": [
    "## Available memory unused by anyone"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "9689b87b",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "914"
      ]
     },
     "execution_count": 2,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "aopy.utils.get_memory_available_gb()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "6bb95204",
   "metadata": {},
   "source": [
    "## Undoing the default memory limit"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "072238d5",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2023-05-10T21:54:35.673078Z",
     "start_time": "2023-05-10T21:54:35.659289Z"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "100"
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "aopy.utils.get_memory_limit_gb()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "6fd2f9bf",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2023-05-10T21:54:47.185877Z",
     "start_time": "2023-05-10T21:54:47.180089Z"
    }
   },
   "outputs": [],
   "source": [
    "aopy.utils.release_memory_limit()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "52196ef9",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2023-05-10T21:54:50.466969Z",
     "start_time": "2023-05-10T21:54:50.462132Z"
    }
   },
   "outputs": [],
   "source": [
    "aopy.utils.get_memory_limit_gb()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "4e91de84",
   "metadata": {},
   "source": [
    "## Using memory limits"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "b2f5b350",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2023-05-10T21:57:16.462968Z",
     "start_time": "2023-05-10T21:57:16.459431Z"
    }
   },
   "outputs": [],
   "source": [
    "aopy.utils.set_memory_limit_gb(128)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "02c2cf2d",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2023-05-10T21:55:46.227122Z",
     "start_time": "2023-05-10T21:55:06.507888Z"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "80.0\n"
     ]
    }
   ],
   "source": [
    "import numpy as np\n",
    "a = np.ones((1000000,10000))\n",
    "print(a.nbytes/1e9)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "a7c5a7b6",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "16.0\n"
     ]
    }
   ],
   "source": [
    "b = np.ones((200000,10000))\n",
    "print(b.nbytes/1e9)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "5b15334c",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "112.0\n"
     ]
    }
   ],
   "source": [
    "c = np.ones((200000,10000))\n",
    "print((a.nbytes + b.nbytes + c.nbytes)/1e9)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "id": "ee99fe34",
   "metadata": {},
   "outputs": [],
   "source": [
    "c -= b"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "id": "257d9161",
   "metadata": {},
   "outputs": [
    {
     "ename": "MemoryError",
     "evalue": "Unable to allocate 14.9 GiB for an array with shape (200000, 10000) and data type float64",
     "output_type": "error",
     "traceback": [
      "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
      "\u001b[0;31mMemoryError\u001b[0m                               Traceback (most recent call last)",
      "Input \u001b[0;32mIn [15]\u001b[0m, in \u001b[0;36m<cell line: 1>\u001b[0;34m()\u001b[0m\n\u001b[0;32m----> 1\u001b[0m d \u001b[38;5;241m=\u001b[39m \u001b[43mnp\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mones\u001b[49m\u001b[43m(\u001b[49m\u001b[43m(\u001b[49m\u001b[38;5;241;43m200000\u001b[39;49m\u001b[43m,\u001b[49m\u001b[38;5;241;43m10000\u001b[39;49m\u001b[43m)\u001b[49m\u001b[43m)\u001b[49m\n",
      "File \u001b[0;32m~/miniconda3/envs/leo-analysis/lib/python3.9/site-packages/numpy/core/numeric.py:204\u001b[0m, in \u001b[0;36mones\u001b[0;34m(shape, dtype, order, like)\u001b[0m\n\u001b[1;32m    201\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m like \u001b[38;5;129;01mis\u001b[39;00m \u001b[38;5;129;01mnot\u001b[39;00m \u001b[38;5;28;01mNone\u001b[39;00m:\n\u001b[1;32m    202\u001b[0m     \u001b[38;5;28;01mreturn\u001b[39;00m _ones_with_like(shape, dtype\u001b[38;5;241m=\u001b[39mdtype, order\u001b[38;5;241m=\u001b[39morder, like\u001b[38;5;241m=\u001b[39mlike)\n\u001b[0;32m--> 204\u001b[0m a \u001b[38;5;241m=\u001b[39m \u001b[43mempty\u001b[49m\u001b[43m(\u001b[49m\u001b[43mshape\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mdtype\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43morder\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m    205\u001b[0m multiarray\u001b[38;5;241m.\u001b[39mcopyto(a, \u001b[38;5;241m1\u001b[39m, casting\u001b[38;5;241m=\u001b[39m\u001b[38;5;124m'\u001b[39m\u001b[38;5;124munsafe\u001b[39m\u001b[38;5;124m'\u001b[39m)\n\u001b[1;32m    206\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m a\n",
      "\u001b[0;31mMemoryError\u001b[0m: Unable to allocate 14.9 GiB for an array with shape (200000, 10000) and data type float64"
     ]
    }
   ],
   "source": [
    "d = np.ones((200000,10000))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "id": "b1d78845",
   "metadata": {},
   "outputs": [],
   "source": [
    "aopy.utils.release_memory_limit()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "id": "f21c4b35",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "128.0\n"
     ]
    }
   ],
   "source": [
    "d = np.ones((200000,10000))\n",
    "print((a.nbytes + b.nbytes + c.nbytes + d.nbytes)/1e9)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "id": "93d1b2fc",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "914"
      ]
     },
     "execution_count": 14,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "aopy.utils.get_memory_available_gb()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "id": "6dd16aef",
   "metadata": {},
   "outputs": [],
   "source": [
    "aopy.utils.release_memory_limit()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "id": "a5586bba",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "914"
      ]
     },
     "execution_count": 16,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "aopy.utils.get_memory_available_gb()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "885d4de8",
   "metadata": {},
   "source": [
    "## Seeing total memory"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "id": "48c74b30",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2023-05-10T21:57:54.999593Z",
     "start_time": "2023-05-10T21:57:54.761658Z"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "MemTotal:       1056466716 kB\r\n"
     ]
    }
   ],
   "source": [
    "!grep MemTotal /proc/meminfo"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "e2db8068",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "3fe4e1c5",
   "metadata": {},
   "outputs": [],
   "source": []
  }
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