from jinja2 import Environment, FileSystemLoader
env = Environment(loader=FileSystemLoader('templates'))
from example_tournaments import axelrod_strategies
strategy_names = list(map(str, axelrod_strategies()))
strategy_names = [x.replace('/', '-') for x in strategy_names]
heatmap_types_names = [("cooperation", "Cooperation Rate Heatmap"),
("opponent_cooperation", "Opponent Cooperation Rate Heatmap"),
("score", "Mean Score Heatmap"),
("score_diff", "Mean Score Difference Heatmap")]
# Render individual strategy pages
for strategy_name in strategy_names:
for (heatmap_directory, heatmap_name) in heatmap_types_names:
template = env.get_template('strategy.template')
md = template.render(heatmap_types_names=heatmap_types_names, strategy_name=strategy_name)
filename = "strategies/{0}.md".format(strategy_name)
with open(filename, 'w') as f:
f.write(md)
# Render README.md
plottypes_headers = [("boxplot", "Score Distributions"),
("winplot", "Win Distributions"),
("payoff", "Pairwise Payoffs"),
("sdvplot", "Score Difference Distributions"),
("pdplot", "Pairwise Payoff Differences") ]
tournament_info = [("AllFairStrategies", "All Fair Strategies", """This tournament covers all strategies in the Axelrod library that follow the standard Axelrod rules."""),
ensure_directory(str(path))
for sub in ["score", "score_diff", "cooperation", "opponent_cooperation"]:
path = Path("assets") / "csv" / sub
ensure_directory(str(path))
path = Path("assets") / "heatmaps" / sub
ensure_directory(str(path))
path = Path("assets") / "heatmaps" / (sub + "-noisy")
ensure_directory(str(path))
if __name__ == "__main__":
init()
turns, repetitions, noise, function, gen_data = parse_args()
# Grab the strategy lists from axelrod
# players = list(axelrod_strategies(meta=True))
players = list(reversed(axelrod_strategies()))
opponents = list(players)
# Generate the data?
if gen_data:
save_all_match_results(players, turns=200, repetitions=1000, noise=noise)
aggregated_data_to_csv(players, opponents, noise=noise)
save_tournament_data(players)
table_1(players)
table_2(players)
exit()
# We're assuming that the data has been generated going forward
# Visualizations
make_figures(players, opponents, turns=turns, repetitions=repetitions,
noise=noise, function=function)
path = path / "heatmaps"
ensure_directory(str(path))
for sub in ["score", "score_diff", "cooperation", "opponent_cooperation"]:
path = Path("assets") / "csv" / sub
ensure_directory(str(path))
path = Path("assets") / "heatmaps" / sub
ensure_directory(str(path))
path = Path("assets") / "heatmaps" / (sub + "-noisy")
ensure_directory(str(path))
if __name__ == "__main__":
init()
turns, repetitions, noise, function, gen_data = parse_args()
players = list(reversed(axelrod_strategies(meta=False)))
opponents = list(reversed(axelrod_strategies(meta=False)))
# Generate the data?
if gen_data:
save_all_match_results(players,
turns=200,
repetitions=1000,
noise=noise)
aggregated_data_to_csv(players, opponents, noise=noise)
save_tournament_data(players)
table_1(players)
table_2(players)
exit()
# We're assuming that the data has been generated going forward
from jinja2 import Environment, FileSystemLoader
env = Environment(loader=FileSystemLoader('templates'))
from example_tournaments import axelrod_strategies
strategy_names = list(map(str, axelrod_strategies()))
strategy_names = [x.replace('/', '-') for x in strategy_names]
heatmap_types_names = [("cooperation", "Cooperation Rate Heatmap"),
("opponent_cooperation",
"Opponent Cooperation Rate Heatmap"),
("score", "Mean Score Heatmap"),
("score_diff", "Mean Score Difference Heatmap")]
# Render individual strategy pages
for strategy_name in strategy_names:
for (heatmap_directory, heatmap_name) in heatmap_types_names:
template = env.get_template('strategy.template')
md = template.render(heatmap_types_names=heatmap_types_names,
strategy_name=strategy_name)
filename = "strategies/{0}.md".format(strategy_name)
with open(filename, 'w') as f:
f.write(md)
# Render README.md
plottypes_headers = [("boxplot", "Score Distributions"),
("winplot", "Win Distributions"),
("payoff", "Pairwise Payoffs"),
("sdvplot", "Score Difference Distributions"),
("pdplot", "Pairwise Payoff Differences")]
