102 lines
4.5 KiB
Python
102 lines
4.5 KiB
Python
def run_locations_benchmark():
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import argparse
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import logging
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import gc
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import collections
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import typing
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import sys
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from time_it import TimeIt
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from Utils import init_logging
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from BaseClasses import MultiWorld, CollectionState, Location
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from worlds import AutoWorld
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from worlds.AutoWorld import call_all
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init_logging("Benchmark Runner")
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logger = logging.getLogger("Benchmark")
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class BenchmarkRunner:
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gen_steps: typing.Tuple[str, ...] = (
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"generate_early", "create_regions", "create_items", "set_rules", "generate_basic", "pre_fill")
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rule_iterations: int = 100_000
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if sys.version_info >= (3, 9):
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@staticmethod
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def format_times_from_counter(counter: collections.Counter[str], top: int = 5) -> str:
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return "\n".join(f" {time:.4f} in {name}" for name, time in counter.most_common(top))
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else:
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@staticmethod
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def format_times_from_counter(counter: collections.Counter, top: int = 5) -> str:
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return "\n".join(f" {time:.4f} in {name}" for name, time in counter.most_common(top))
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def location_test(self, test_location: Location, state: CollectionState, state_name: str) -> float:
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with TimeIt(f"{test_location.game} {self.rule_iterations} "
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f"runs of {test_location}.access_rule({state_name})", logger) as t:
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for _ in range(self.rule_iterations):
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test_location.access_rule(state)
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# if time is taken to disentangle complex ref chains,
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# this time should be attributed to the rule.
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gc.collect()
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return t.dif
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def main(self):
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for game in sorted(AutoWorld.AutoWorldRegister.world_types):
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summary_data: typing.Dict[str, collections.Counter[str]] = {
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"empty_state": collections.Counter(),
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"all_state": collections.Counter(),
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}
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try:
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multiworld = MultiWorld(1)
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multiworld.game[1] = game
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multiworld.player_name = {1: "Tester"}
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multiworld.set_seed(0)
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multiworld.state = CollectionState(multiworld)
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args = argparse.Namespace()
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for name, option in AutoWorld.AutoWorldRegister.world_types[game].options_dataclass.type_hints.items():
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setattr(args, name, {
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1: option.from_any(getattr(option, "default"))
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})
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multiworld.set_options(args)
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gc.collect()
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for step in self.gen_steps:
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with TimeIt(f"{game} step {step}", logger):
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call_all(multiworld, step)
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gc.collect()
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locations = sorted(multiworld.get_unfilled_locations())
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if not locations:
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continue
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all_state = multiworld.get_all_state(False)
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for location in locations:
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time_taken = self.location_test(location, multiworld.state, "empty_state")
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summary_data["empty_state"][location.name] = time_taken
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time_taken = self.location_test(location, all_state, "all_state")
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summary_data["all_state"][location.name] = time_taken
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total_empty_state = sum(summary_data["empty_state"].values())
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total_all_state = sum(summary_data["all_state"].values())
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logger.info(f"{game} took {total_empty_state/len(locations):.4f} "
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f"seconds per location in empty_state and {total_all_state/len(locations):.4f} "
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f"in all_state. (all times summed for {self.rule_iterations} runs.)")
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logger.info(f"Top times in empty_state:\n"
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f"{self.format_times_from_counter(summary_data['empty_state'])}")
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logger.info(f"Top times in all_state:\n"
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f"{self.format_times_from_counter(summary_data['all_state'])}")
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except Exception as e:
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logger.exception(e)
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runner = BenchmarkRunner()
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runner.main()
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if __name__ == "__main__":
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from path_change import change_home
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change_home()
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run_locations_benchmark()
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