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AZ-PGN.ipynb
527 lines (527 loc) · 28.1 KB
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AZ-PGN.ipynb
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{
"cells": [
{
"cell_type": "code",
"execution_count": 1,
"metadata": {},
"outputs": [
{
"data": {
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\n",
"text/plain": [
"<Figure size 432x288 with 1 Axes>"
]
},
"metadata": {},
"output_type": "display_data"
},
{
"data": {
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" <td>WIN</td>\n",
" <td>True</td>\n",
" </tr>\n",
" <tr>\n",
" <th>110</th>\n",
" <td>44</td>\n",
" <td>WIN</td>\n",
" <td>True</td>\n",
" </tr>\n",
" <tr>\n",
" <th>151</th>\n",
" <td>45</td>\n",
" <td>DRAW</td>\n",
" <td>False</td>\n",
" </tr>\n",
" <tr>\n",
" <th>27</th>\n",
" <td>46</td>\n",
" <td>WIN</td>\n",
" <td>True</td>\n",
" </tr>\n",
" <tr>\n",
" <th>32</th>\n",
" <td>46</td>\n",
" <td>WIN</td>\n",
" <td>True</td>\n",
" </tr>\n",
" <tr>\n",
" <th>113</th>\n",
" <td>47</td>\n",
" <td>WIN</td>\n",
" <td>True</td>\n",
" </tr>\n",
" <tr>\n",
" <th>11</th>\n",
" <td>48</td>\n",
" <td>DRAW</td>\n",
" <td>False</td>\n",
" </tr>\n",
" <tr>\n",
" <th>126</th>\n",
" <td>48</td>\n",
" <td>WIN</td>\n",
" <td>True</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2</th>\n",
" <td>48</td>\n",
" <td>WIN</td>\n",
" <td>True</td>\n",
" </tr>\n",
" <tr>\n",
" <th>29</th>\n",
" <td>48</td>\n",
" <td>WIN</td>\n",
" <td>True</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"</div>"
],
"text/plain": [
" nbmoves AZresult AZwhite\n",
"47 18 DRAW False\n",
"132 21 DRAW False\n",
"161 26 DRAW False\n",
"198 26 DRAW True\n",
"54 31 DRAW False\n",
"88 34 DRAW True\n",
"40 37 DRAW False\n",
"135 40 DRAW False\n",
"138 40 DRAW False\n",
"195 41 DRAW True\n",
"22 41 WIN True\n",
"110 44 WIN True\n",
"151 45 DRAW False\n",
"27 46 WIN True\n",
"32 46 WIN True\n",
"113 47 WIN True\n",
"11 48 DRAW False\n",
"126 48 WIN True\n",
"2 48 WIN True\n",
"29 48 WIN True"
]
},
"execution_count": 1,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"%matplotlib inline\n",
"\n",
"import chess.pgn\n",
"import pandas as pd\n",
"import matplotlib.pyplot as plt\n",
"\n",
"plt.style.use('ggplot')\n",
"pgnfile=\"alphazero-all.pgn\" # cat alphazero_vs_stockfish_all.pgn alphazero_vs_stockfish_tcec_positions_all.pgn > alphazero-all.pgn\n",
"\n",
"## basically analysis of PGN \n",
"def nb_moves(g):\n",
" nbmove = 0\n",
" for move in g.mainline_moves():\n",
" if (move is not None):\n",
" nbmove = nbmove + 1\n",
" return nbmove / 2\n",
"\n",
"pgn = open(pgnfile)\n",
"df = pd.DataFrame(columns=['nbmoves', \"AZresult\", \"AZwhite\"])\n",
"idg = 0\n",
"while True:\n",
" game = chess.pgn.read_game(pgn)\n",
" if game is None:\n",
" break\n",
" whiteplayer = game.headers.get(\"White\") == 'AlphaZero'\n",
" result = \"WIN\" if (whiteplayer and game.headers.get('Result') == '1-0') else (\"LOSE\" if (whiteplayer and game.headers.get('Result') == '0-1') else \"DRAW\")\n",
" df.loc[idg] = (int(nb_moves(game)), result, whiteplayer)\n",
" idg = idg + 1\n",
" \n",
"df['AZresult'].value_counts()\n",
"plt.figure()\n",
"plt.boxplot(pd.to_numeric(df['nbmoves']))\n",
"plt.title(\"number of moves\")\n",
"# df.boxplot(column=['nbmoves'])\n",
"plt.show()\n",
"\n",
"#df.boxplot(pd.to_numeric(df['nbmoves']))\n",
"#df[df['AZresult'] == 'WIN']\n",
"#df\n",
"df.sort_values(by=\"nbmoves\")[:20]"
]
},
{
"cell_type": "code",
"execution_count": 2,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Number of games: 210\n",
"AlphaZero wins: 45 , losts: 1 , draws: 164\n"
]
}
],
"source": [
"print(\"Number of games:\", df.shape[0])\n",
"print(\"AlphaZero wins:\", df[df['AZresult'] == 'WIN'].shape[0], \", losts:\", df[df['AZresult'] == 'LOSE'].shape[0], \", draws:\", df[df['AZresult'] == 'DRAW'].shape[0])\n"
]
},
{
"cell_type": "code",
"execution_count": 3,
"metadata": {},
"outputs": [
{
"ename": "ModuleNotFoundError",
"evalue": "No module named 'chess.uci'",
"output_type": "error",
"traceback": [
"\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
"\u001b[0;31mModuleNotFoundError\u001b[0m Traceback (most recent call last)",
"\u001b[0;32m<ipython-input-3-542400261f4e>\u001b[0m in \u001b[0;36m<module>\u001b[0;34m\u001b[0m\n\u001b[0;32m----> 1\u001b[0;31m \u001b[0;32mimport\u001b[0m \u001b[0mchess\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0muci\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m 2\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 3\u001b[0m \u001b[0;31m# you have to edit this line\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 4\u001b[0m \u001b[0mSTOCKFISH_LOCATION\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0;34m\"/Users/macher1/Documents/SANDBOX/igrid-chess/uci-engine/stockfish-6-mac/Mac/stockfish-6-64\"\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 5\u001b[0m \u001b[0;32mdef\u001b[0m \u001b[0mmkChessUCIEngine\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
"\u001b[0;31mModuleNotFoundError\u001b[0m: No module named 'chess.uci'"
]
}
],
"source": [
"import chess.uci\n",
"\n",
"# you have to edit this line\n",
"STOCKFISH_LOCATION = \"/Users/macher1/Documents/SANDBOX/igrid-chess/uci-engine/stockfish-6-mac/Mac/stockfish-6-64\"\n",
"def mkChessUCIEngine():\n",
" return chess.uci.popen_engine(STOCKFISH_LOCATION)\n",
"\n",
"engine = mkChessUCIEngine()\n",
"engine.uci()\n",
"engine.author"
]
},
{
"cell_type": "code",
"execution_count": 4,
"metadata": {},
"outputs": [
{
"ename": "NameError",
"evalue": "name 'mkChessUCIEngine' is not defined",
"output_type": "error",
"traceback": [
"\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
"\u001b[0;31mNameError\u001b[0m Traceback (most recent call last)",
"\u001b[0;32m<ipython-input-4-89a690715dfe>\u001b[0m in \u001b[0;36m<module>\u001b[0;34m\u001b[0m\n\u001b[1;32m 149\u001b[0m \u001b[0;31m# you can create a GIF of a game\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 150\u001b[0m \u001b[0;31m# mkGIF(game, dir_final_result, ng)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 151\u001b[0;31m \u001b[0mscore_evo\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0manalyze_game_best_score_evolution\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mgame\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mmove_time\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;36m2000\u001b[0m\u001b[0;34m)\u001b[0m \u001b[0;31m### you can modify the amount of time given to Stockfish\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m 152\u001b[0m \u001b[0mprocess_score_evo\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mscore_evo\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mgame\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 153\u001b[0m \u001b[0mng\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mng\u001b[0m \u001b[0;34m+\u001b[0m \u001b[0;36m1\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
"\u001b[0;32m<ipython-input-4-89a690715dfe>\u001b[0m in \u001b[0;36manalyze_game_best_score_evolution\u001b[0;34m(g, move_time)\u001b[0m\n\u001b[1;32m 68\u001b[0m \u001b[0mnm\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0;36m0\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 69\u001b[0m \u001b[0mwhite_turn\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0;32mTrue\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m---> 70\u001b[0;31m \u001b[0mengine\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mmkChessUCIEngine\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m 71\u001b[0m \u001b[0mengine\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0msetoption\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m{\u001b[0m\u001b[0;34m'MultiPV'\u001b[0m\u001b[0;34m:\u001b[0m \u001b[0;36m2\u001b[0m\u001b[0;34m}\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 72\u001b[0m \u001b[0;32mfor\u001b[0m \u001b[0mmove\u001b[0m \u001b[0;32min\u001b[0m \u001b[0mg\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mmainline_moves\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
"\u001b[0;31mNameError\u001b[0m: name 'mkChessUCIEngine' is not defined"
]
}
],
"source": [
"from IPython.display import SVG, display\n",
"import chess.svg \n",
"import cairosvg\n",
"import os\n",
"import subprocess\n",
"\n",
"\n",
"\n",
"\n",
"def depict_position(g, at_ply=10):\n",
" board = chess.Board()\n",
" nm = 0\n",
" for move in g.mainline_moves():\n",
" nm = nm + 1\n",
" if (move is not None):\n",
" board.push(move)\n",
" if (nm == at_ply):\n",
" return board\n",
" return board \n",
"\n",
"def save_positions_as_png(g, dir_name):\n",
" \n",
" if not os.path.exists(dir_name):\n",
" os.makedirs(dir_name)\n",
" else:\n",
" for the_file in os.listdir(dir_name):\n",
" file_path = os.path.join(dir_name, the_file)\n",
" try:\n",
" if os.path.isfile(file_path):\n",
" os.unlink(file_path)\n",
" except Exception as e:\n",
" print(e)\n",
"\n",
" board = chess.Board()\n",
" nm = 0\n",
" for move in g.mainline_moves():\n",
" nm = nm + 1\n",
" if (move is not None):\n",
" board.push(move)\n",
" svg_pos = chess.svg.board(board=board, size=400, coordinates=False)\n",
" cairosvg.svg2png(bytestring=svg_pos,write_to=dir_name + 'output' + str(nm) + '.png')\n",
" \n",
"# delay: centh of second, so 100=1 sec\n",
"#### produce a GIF of a game\n",
"def mkGIF(game, dir_final_result, ng, delay=50):\n",
" gif_filename = \"../\" + dir_final_result + \"game\" + str(ng) + \".gif\"\n",
" dir_name = \"game/\" # TODO: temporary directory for hosting images per position\n",
" save_positions_as_png(game, dir_name)\n",
" os.chdir(dir_name)\n",
" # create gif and move it to dir_final_result\n",
" # two versions: one with ffmeg/convert; other with convert\n",
" # cmd='cat `ls *.png | sort -V` | ffmpeg -i - outputf.gif; convert -delay ' + str(delay) + ' outputf.gif output.gif' + '; mv output.gif ' + gif_filename\n",
" cmd='convert $(for a in `ls *.png | sort -V`; do printf -- \"-delay ' + str(delay) +' %s \" $a; done; ) output.gif' + '; mv output.gif ' + gif_filename \n",
" print(cmd)\n",
" try: \n",
" p = subprocess.Popen(['/bin/bash', '-c', cmd]) \n",
" (output, err) = p.communicate() \n",
" #This makes the wait possible\n",
" p_status = p.wait()\n",
" print(\"ouput:\", output, \"error:\", err, \"status:\", p_status)\n",
" except Exception as e:\n",
" print(e) \n",
" os.chdir('..')\n",
" \n",
"def analyze_game_best_score_evolution(g, move_time=100):\n",
" score_evolution = pd.DataFrame(columns=['ply', 'score'])\n",
" board = chess.Board()\n",
" nm = 0\n",
" white_turn = True\n",
" engine = mkChessUCIEngine()\n",
" engine.setoption({'MultiPV': 2}) \n",
" for move in g.mainline_moves(): \n",
" if (move is not None):\n",
" board.push(move)\n",
" # analyze move\n",
" info_handler = chess.uci.InfoHandler() \n",
" engine.info_handlers.append(info_handler)\n",
" # set position\n",
" engine.position(board)\n",
" bm = engine.go(movetime=move_time) \n",
" pvs = info_handler.info['pv']\n",
" scores = info_handler.info['score']\n",
" best_score = scores[1].cp\n",
" if white_turn:\n",
" best_score = best_score * -1\n",
" score_evolution.loc[nm] = (nm, best_score)\n",
" white_turn = not white_turn\n",
" nm = nm + 1\n",
" else:\n",
" return score_evolution\n",
" \n",
" return score_evolution\n",
"\n",
"def process_score_evo(score_evo, game):\n",
" # difference's score at each move\n",
" sdiff = [0] # no difference for first move \n",
" for i in range(1, len(score_evo) - 1):\n",
" sdiff.append(abs(score_evo.loc[i]['score'] - score_evo.loc[i + 1]['score']))\n",
" sdiff.append(0) # no difference for last move \n",
" \n",
" \n",
" score_diff = score_evo.copy()\n",
" score_diff['diff'] = sdiff \n",
" max_score_pos = score_diff.loc[score_diff['diff'].idxmax()]\n",
" \n",
" plt.figure()\n",
" score_diff.plot(x=\"ply\", y=\"score\", title=\"game\" + str(ng), style=\"-\", color=\"blue\")\n",
" \n",
" \n",
" \n",
" score_diff_highest_ply = max_score_pos['ply']\n",
" score_diff_highest = max_score_pos['diff']\n",
" print(\"Highest score diff\", score_diff_highest, \"at ply\", score_diff_highest_ply)\n",
" b = depict_position(g=game, at_ply=score_diff_highest_ply) \n",
" display(SVG(chess.svg.board(board=b, size=300)))\n",
" \n",
" # score differential of AZ \n",
" whiteplayer = game.headers.get(\"White\") == 'AlphaZero' # whether AZ has white piece\n",
" azdiff = []\n",
" for iply in range(0, len(score_diff)):\n",
" # white turn and AZ is white, so it's AZ turn\n",
" # or black turn and AZ is black, so it's AZ turn\n",
" if (iply % 2 == 0 and whiteplayer) or (iply % 2 == 1 and not whiteplayer): \n",
" azdiff.append((score_diff.loc[iply]['diff'], score_diff.loc[iply]['score'], score_diff.loc[iply]['ply']))\n",
" score_diff_AZ = pd.DataFrame(azdiff, columns=[\"diff\", \"score\", \"ply\"])\n",
" max_score_pos_AZ = score_diff_AZ.loc[score_diff_AZ['diff'].idxmax()]\n",
" if (max_score_pos['ply'] == max_score_pos_AZ['ply']):\n",
" print(\"AZ changes SF mind!\")\n",
" plt.scatter(max_score_pos_AZ['ply'], max_score_pos_AZ['score'], color=\"red\", marker=\"X\") \n",
" else:\n",
" plt.scatter(max_score_pos['ply'], max_score_pos['score'], color=\"red\") \n",
" \n",
" \n",
" plt.show() \n",
" \n",
" \n",
"########## plot score evolution with Stockfish\n",
"### we mark with a red cross the most significant \"change\" \n",
"### (basically to identify when Stockfish changes its mind... or when AlphaZero does make a difference)\n",
"\n",
"### warning: can take a while, since we analyze all games with Stockfish\n",
"pgn = open(pgnfile)\n",
"dir_final_result = \"gifs/\"\n",
"ng = 1\n",
"while True:\n",
" game = chess.pgn.read_game(pgn)\n",
" if game is None:\n",
" break\n",
" # you can create a GIF of a game\n",
" # mkGIF(game, dir_final_result, ng) \n",
" score_evo = analyze_game_best_score_evolution(game, move_time=2000) ### you can modify the amount of time given to Stockfish\n",
" process_score_evo(score_evo, game)\n",
" ng = ng + 1\n",
" if (ng == 20):\n",
" break\n",
" \n",
"\n",
" \n",
"\n",
" \n",
" \n",
" \n",
" # print('MultiPV', info_handler.info['multipv'])\n",
" \n",
" \n"
]
},
{
"cell_type": "code",
"execution_count": 5,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"convert $(for a in `ls *.png | sort -V`; do printf -- \"-delay 50 %s \" $a; done; ) output.gif; mv output.gif ../gifs/game1.gif\n",
"ouput: None error: None status: 1\n"
]
}
],
"source": [
"# GIF of the first game\n",
"ng = 1\n",
"pgn = open(\"longest.pgn\")\n",
"game = chess.pgn.read_game(pgn)\n",
"mkGIF(game, dir_final_result, ng) \n"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": []
}
],
"metadata": {
"kernelspec": {
"display_name": "Python 3",
"language": "python",
"name": "python3"
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"language_info": {
"codemirror_mode": {
"name": "ipython",
"version": 3
},
"file_extension": ".py",
"mimetype": "text/x-python",
"name": "python",
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