{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "import numpy as np\n",
    "from tqdm import tqdm"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "def calc_meanstd(groups):\n",
    "    means = [np.mean(x) for x in groups]\n",
    "    mean = np.mean(means)\n",
    "    meanstd = 0\n",
    "    for i in means:\n",
    "        meanstd+=np.abs(i-mean)\n",
    "    return float(meanstd)\n",
    "def split_group(group, split_num, number):\n",
    "    result = []\n",
    "    for i in range(split_num):\n",
    "        result.append(group[i*number:(i+1)*number])\n",
    "    return result\n",
    "def make_group(group_list, split_num, try_num):\n",
    "    print('人数：',len(group_list),'分割数：',split_num)\n",
    "    if len(group_list)%split_num!=0:\n",
    "        print('均等に割り切れません')\n",
    "        return 0\n",
    "    group_num = int(len(group_list)/split_num)\n",
    "    \n",
    "    result = {}\n",
    "    for _ in tqdm(range(try_num)):\n",
    "        np.random.shuffle(group_list)\n",
    "        tmp_result = split_group(group_list,split_num,group_num)\n",
    "        result[calc_meanstd(tmp_result)] = tmp_result\n",
    "    sort_result = sorted(result.items())\n",
    "    return sort_result[0]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "人数： 24 分割数： 3\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "100%|█████████████████████████████████| 10000/10000 [00:00<00:00, 16167.84it/s]\n"
     ]
    }
   ],
   "source": [
    "a=make_group(list(range(1,25)),3, 10000)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([100, 100, 100])"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "np.sum(a[1], axis=1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [],
   "source": [
    "test = [8, 9, 9, 3, 5, 8, 9, 9, 8, 10, 10, 10, 9, 10, 10, 10, 6, 7, 10, 9, 10]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "人数： 21 分割数： 3\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "100%|███████████████████████████████| 100000/100000 [00:06<00:00, 16259.33it/s]\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "(0.1904761904761898,\n",
       " [[9, 6, 10, 10, 8, 8, 9], [10, 9, 10, 10, 9, 9, 3], [10, 8, 10, 10, 5, 7, 9]])"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "make_group(test,3, 100000)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": []
  }
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