227 lines
7.6 KiB
Python
227 lines
7.6 KiB
Python
import requests
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import requests_cache
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import json
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import csv
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import pandas
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from hanabi.database import global_db_connection_manager
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from hanabi.live.site_api import get
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from bdr import describe_game
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from endgames import analyze_game_cached, full_analyze_game_cached
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# Init db connection
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global_db_connection_manager.read_config()
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global_db_connection_manager.connect()
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session = requests_cache.CachedSession('.hanab-live.cache',expire_after=30000)
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player_mapping = {
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'RamaNoVarjan': 'Ramanujan',
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'purplejoe2': 'PurpleJoe',
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'PurpleJoeVar': 'PurpleJoe',
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'yagami_blank': 'Yagami',
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'yagami_black': 'Yagami',
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'MarkusKahlsen': 'Markus',
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'NoVarkusKahlsen': 'Markus',
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'spring': 'spring',
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'str8tsknacker': 'str8tsknacker',
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'novarknacker': 'str8tsknacker',
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'StKildaFan': 'Kilda',
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'noarv': 'Arv',
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'arv': 'Arv',
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'ElenaDhynho': 'Elena',
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'ElenaDhynh0': 'Elena',
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'Elenanovar': 'Elena',
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'TimeHoodie': 'Hoodie',
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'Hoodie': 'Hoodie',
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'newduke': 'Duke',
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}
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allowed_team_members = ['Carunty', 'HelanaAshryvr', 'rz']
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allowed_players = [s.lower() for s in player_mapping.keys()] + [s.lower() for s in allowed_team_members]
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excluded_games = [1056958, 1044951]
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player_cols = set()
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for _, p in player_mapping.items():
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player_cols.add(p)
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class Entry:
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def __init__(self, game_id, seed, score, players, bdr=0):
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self.game_id = game_id
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self.seed = seed
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self.num_players = len(players)
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self.won = 1 if score == 25 else 0
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self.players = players
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self.bdr = bdr
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def get_player_games(player: str):
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r = session.get('https://hanab.live/api/v1/history-full/{}?start={}'.format(player, 1044446))
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if r.status_code == 200:
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return json.loads(r.text)
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def collect_player_games():
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global_games = {}
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for player in player_mapping.keys():
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print('Parsing games for player {}'.format(player))
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games = get_player_games(player)
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for game in games:
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if game['options'].get('variantName', 'No Variant') != 'No Variant':
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continue
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game_id = game['id']
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players = game['playerNames']
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score = game['score']
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seed = game['seed']
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if len(players) not in [3,4,5]:
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continue
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if game_id in excluded_games:
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continue
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ok = True
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for player in players:
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if player.lower() not in allowed_players:
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ok = False
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if ok:
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global_games[game_id] = Entry(game_id, seed, score, players)
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return global_games
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def analyze_games(games):
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retval = {}
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for game_id in games.keys():
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game = get("export/" + str(game_id))
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bdrs, termination = describe_game(game)
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retval[game_id] = bdrs, termination
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return retval
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def analyze_endgames(games):
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retval = {}
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for game_id in games.keys():
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print('Analysing endgames of game {}'.format(game_id))
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result = analyze_game_cached(game_id)
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retval[game_id] = result
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return retval
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def full_analyze_endgames(games):
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retval = {}
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for game_id in games.keys():
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print('Analysing all endgames of game {}'.format(game_id))
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result = full_analyze_game_cached(game_id)
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retval[game_id] = result
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return retval
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def sort_players_by_num_games(games_dict):
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nums = {}
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for _, entry in games_dict.items():
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for player in entry.players:
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col = player_mapping.get(player, None)
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if col is not None:
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num = nums.get(col, 0)
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nums[col] = num + 1
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return sorted(player_cols, key = lambda col: -nums[col])
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def lookup_val(endgame_dict, clue_modifier) -> str:
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if clue_modifier > 0:
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for lookup in range(clue_modifier, 0, -1):
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val = endgame_dict.get('+' + str(lookup), None)
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if val is not None:
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return val
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if clue_modifier < 0:
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for lookup in range(clue_modifier, 0):
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val = endgame_dict.get(str(lookup))
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if val is not None:
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return val
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retval = endgame_dict.get('+0', None)
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return retval
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if __name__ == "__main__":
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games = collect_player_games()
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analysis = analyze_games(games)
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endgames = analyze_endgames(games)
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streaks = {}
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fieldnames = ['Game ID', 'Seed', 'Player #', 'Result', 'BDR']
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fieldnames += sort_players_by_num_games(games)
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fieldnames += ['Other']
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with open('out/games.csv', 'w', newline='') as f:
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f.writelines([','.join(fieldnames), "\n"])
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with open('out/games.csv', 'a', newline='') as f:
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writer = csv.DictWriter(f, fieldnames=fieldnames)
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for game_id, entry in sorted(games.items()):
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bdrs, termination = analysis[game_id]
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row = {
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'Game ID': "<a href='https://hanab.live/replay/{}'>{}</a>".format(entry.game_id, entry.game_id),
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'Seed': "<a href='https://hanab.live/seed/{}'>{}</a>".format(entry.seed, entry.seed),
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'Player #': entry.num_players,
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'Result': 'Win' if entry.won else termination,
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'BDR': len(bdrs),
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}
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for player in entry.players:
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col = player_mapping.get(player, None)
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if col is not None:
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if entry.won:
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streak = streaks.get(col, 0)
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streak += 1
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streaks[col] = streak
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row[col] = streak
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else:
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streaks[col] = 0
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row[col] = 0
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else:
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num_others = row.get('Other', 0)
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row['Other'] = num_others + 1
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writer.writerow(row)
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fieldnames = ['Game ID'] + [str(i) for i in range(1, 16)]
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with open('out/endgames.csv', 'w', newline='') as f:
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f.writelines([','.join(fieldnames), "\n"])
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with open('out/endgames.csv', 'a', newline='') as f:
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writer = csv.DictWriter(f, fieldnames=fieldnames)
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for game_id, endgame in sorted(endgames.items()):
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endgame['Game ID'] = "<a href='https://hanab.live/replay/{}'>{}</a>".format(game_id, game_id)
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writer.writerow(endgame)
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all_endgames = full_analyze_endgames(games)
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fieldnames = ['Game ID'] + [str(i) for i in range(1, 11)]
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for clue_modifier in range(-2, 3):
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filename = 'endgames{}.csv'.format(clue_modifier)
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with open('out/' + filename, 'w') as f:
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f.writelines([','.join(fieldnames), "\n"])
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with open('out/' + filename, 'a') as f:
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writer = csv.DictWriter(f, fieldnames=fieldnames)
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for game_id, endgame in sorted(all_endgames.items()):
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# print(endgame)
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row = {'Game ID': game_id}
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for deck_size in range(1, 11):
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val = lookup_val(endgame.get(str(deck_size), {}), clue_modifier)
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if val is not None:
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row[str(deck_size)] = val
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else:
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print("WARN: No results found for game {} and deck size {}: {}".format(game_id, deck_size, endgame.get(str(deck_size))))
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writer.writerow(row)
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print('processed file {}'.format(filename))
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x = pandas.read_csv('out/' + filename)
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x.to_html('out/endgames_{}.html'.format(clue_modifier), escape=False)
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a = pandas.read_csv("out/games.csv")
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a.to_html("out/games.html", escape=False)
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b = pandas.read_csv('out/endgames.csv')
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b.to_html("out/endgames.html", escape=False)
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