{
 "cells": [
  {
   "cell_type": "markdown",
   "id": "21055180-8634-4816-a561-825c22b3b391",
   "metadata": {},
   "source": [
    "https://twitter.com/julia_kizi/status/1400703388363468801"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "14975a5d-f4c4-415b-a107-8f5bf69896aa",
   "metadata": {},
   "outputs": [],
   "source": [
    "using BenchmarkHistograms"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "b15a4783-c8aa-4b22-b91d-90d793f67261",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "g (generic function with 1 method)"
      ]
     },
     "execution_count": 2,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "A = randn(10^5)\n",
    "\n",
    "f(A) = min(A...)\n",
    "g(A) = minimum(A)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "98b74adc-6085-4e30-b437-ac89059f775b",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "samples: 877; evals/sample: 1; memory estimate: 5.34 MiB; allocs estimate: 200003\n",
       "ns\n",
       "\n",
       " (4.48e6  - 5.08e6 ]  \u001b[32m████████▉\u001b[39m154\n",
       " (5.08e6  - 5.69e6 ]  \u001b[32m██████████████████████████████ \u001b[39m523\n",
       " (5.69e6  - 6.29e6 ]  \u001b[32m████\u001b[39m68\n",
       " (6.29e6  - 6.9e6  ]  \u001b[32m█▌\u001b[39m24\n",
       " (6.9e6   - 7.5e6  ]  \u001b[32m█▎\u001b[39m20\n",
       " (7.5e6   - 8.1e6  ]  \u001b[32m██\u001b[39m33\n",
       " (8.1e6   - 8.71e6 ]  \u001b[32m█▌\u001b[39m24\n",
       " (8.71e6  - 9.31e6 ]  \u001b[32m█\u001b[39m17\n",
       " (9.31e6  - 9.92e6 ]  \u001b[32m▋\u001b[39m10\n",
       " (9.92e6  - 1.052e7]  \u001b[32m▏\u001b[39m2\n",
       " (1.052e7 - 1.113e7]  \u001b[32m▏\u001b[39m2\n",
       "\n",
       "                  Counts\n",
       "\n",
       "min: 4.475 ms (0.00% GC); mean: 5.690 ms (6.20% GC); median: 5.306 ms (0.00% GC); max: 11.130 ms (0.00% GC)."
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "@benchmark f($A)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "d3b3f35c-e2cf-4377-b49f-15c240dfd407",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "samples: 10000; evals/sample: 1; memory estimate: 0 bytes; allocs estimate: 0\n",
       "ns\n",
       "\n",
       " (48100.0  - 53500.0 ]  \u001b[32m██████████████████████████████ \u001b[39m8101\n",
       " (53500.0  - 58900.0 ]  \u001b[32m███▏\u001b[39m814\n",
       " (58900.0  - 64300.0 ]  \u001b[32m▎\u001b[39m64\n",
       " (64300.0  - 69700.0 ]  \u001b[32m█▍\u001b[39m346\n",
       " (69700.0  - 75100.0 ]  \u001b[32m█▎\u001b[39m319\n",
       " (75100.0  - 80500.0 ]  \u001b[32m▏\u001b[39m29\n",
       " (80500.0  - 85900.0 ]  \u001b[32m▌\u001b[39m102\n",
       " (85900.0  - 91200.0 ]  \u001b[32m▋\u001b[39m146\n",
       " (91200.0  - 96600.0 ]  \u001b[32m▏\u001b[39m29\n",
       " (96600.0  - 102000.0]  \u001b[32m▏\u001b[39m12\n",
       " (102000.0 - 107400.0]  \u001b[32m▏\u001b[39m15\n",
       " (107400.0 - 112800.0]  \u001b[32m▏\u001b[39m8\n",
       " (112800.0 - 118200.0]  \u001b[32m▏\u001b[39m2\n",
       " (118200.0 - 123600.0]  \u001b[32m▏\u001b[39m3\n",
       " (123600.0 - 164600.0]  \u001b[32m▏\u001b[39m10\n",
       "\n",
       "                  Counts\n",
       "\n",
       "min: 48.100 μs (0.00% GC); mean: 54.065 μs (0.00% GC); median: 51.700 μs (0.00% GC); max: 164.600 μs (0.00% GC)."
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "@benchmark g($A)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "af3040bf-966e-4db1-a352-f3f516c6965c",
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
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