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9645930b5b
The scripts in `Tools/peg_generator/scripts` mostly assume that `ast.parse` and `compile` use the old parser, since this was the state of things, while we were developing them. They need to be updated to always use the correct parser. `_peg_parser` is being extended to support both parsing and compiling with both parsers.
123 lines
3.2 KiB
Python
123 lines
3.2 KiB
Python
#!/usr/bin/env python3
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import argparse
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import ast
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import sys
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import os
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from time import time
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import _peg_parser
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try:
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import memory_profiler
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except ModuleNotFoundError:
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print("Please run `make venv` to create a virtual environment and install"
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" all the dependencies, before running this script.")
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sys.exit(1)
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sys.path.insert(0, os.getcwd())
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from scripts.test_parse_directory import parse_directory
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argparser = argparse.ArgumentParser(
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prog="benchmark", description="Reproduce the various pegen benchmarks"
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)
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argparser.add_argument(
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"--parser",
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action="store",
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choices=["pegen", "cpython"],
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default="pegen",
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help="Which parser to benchmark (default is pegen)",
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)
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argparser.add_argument(
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"--target",
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action="store",
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choices=["xxl", "stdlib"],
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default="xxl",
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help="Which target to use for the benchmark (default is xxl.py)",
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)
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subcommands = argparser.add_subparsers(title="Benchmarks", dest="subcommand")
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command_compile = subcommands.add_parser(
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"compile", help="Benchmark parsing and compiling to bytecode"
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)
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command_parse = subcommands.add_parser("parse", help="Benchmark parsing and generating an ast.AST")
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def benchmark(func):
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def wrapper(*args):
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times = list()
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for _ in range(3):
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start = time()
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result = func(*args)
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end = time()
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times.append(end - start)
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memory = memory_profiler.memory_usage((func, args))
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print(f"{func.__name__}")
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print(f"\tTime: {sum(times)/3:.3f} seconds on an average of 3 runs")
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print(f"\tMemory: {max(memory)} MiB on an average of 3 runs")
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return result
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return wrapper
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@benchmark
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def time_compile(source, parser):
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if parser == "cpython":
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return _peg_parser.compile_string(
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source,
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oldparser=True,
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)
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else:
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return _peg_parser.compile_string(source)
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@benchmark
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def time_parse(source, parser):
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if parser == "cpython":
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return _peg_parser.parse_string(source, oldparser=True)
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else:
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return _peg_parser.parse_string(source)
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def run_benchmark_xxl(subcommand, parser, source):
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if subcommand == "compile":
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time_compile(source, parser)
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elif subcommand == "parse":
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time_parse(source, parser)
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def run_benchmark_stdlib(subcommand, parser):
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for _ in range(3):
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parse_directory(
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"../../Lib",
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"../../Grammar/python.gram",
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"../../Grammar/Tokens",
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verbose=False,
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excluded_files=["*/bad*", "*/lib2to3/tests/data/*",],
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skip_actions=False,
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tree_arg=0,
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short=True,
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mode=2 if subcommand == "compile" else 1,
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parser=parser,
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)
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def main():
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args = argparser.parse_args()
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subcommand = args.subcommand
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parser = args.parser
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target = args.target
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if subcommand is None:
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argparser.error("A benchmark to run is required")
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if target == "xxl":
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with open(os.path.join("data", "xxl.py"), "r") as f:
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source = f.read()
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run_benchmark_xxl(subcommand, parser, source)
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elif target == "stdlib":
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run_benchmark_stdlib(subcommand, parser)
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if __name__ == "__main__":
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main()
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