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perf_compare.py
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"""Compare performance of mypyc-compiled mypy between one or more commits/branches.
Simple usage:
python misc/perf_compare.py master my-branch ...
What this does:
* Create a temp clone of the mypy repo for each target commit to measure
* Checkout a target commit in each of the clones
* Compile mypyc in each of the clones *in parallel*
* Create another temp clone of the mypy repo as the code to check
* Self check with each of the compiled mypys N times
* Report the average runtimes and relative performance
* Remove the temp clones
"""
from __future__ import annotations
import argparse
import glob
import os
import random
import shutil
import statistics
import subprocess
import sys
import time
from concurrent.futures import ThreadPoolExecutor, as_completed
def heading(s: str) -> None:
print()
print(f"=== {s} ===")
print()
def build_mypy(target_dir: str) -> None:
env = os.environ.copy()
env["CC"] = "clang"
env["MYPYC_OPT_LEVEL"] = "2"
env["PYTHONHASHSEED"] = "1"
cmd = [sys.executable, "setup.py", "--use-mypyc", "build_ext", "--inplace"]
subprocess.run(cmd, env=env, check=True, cwd=target_dir)
def clone(target_dir: str, commit: str | None) -> None:
heading(f"Cloning mypy to {target_dir}")
repo_dir = os.getcwd()
if os.path.isdir(target_dir):
print(f"{target_dir} exists: deleting")
shutil.rmtree(target_dir)
subprocess.run(["git", "clone", repo_dir, target_dir], check=True)
if commit:
subprocess.run(["git", "checkout", commit], check=True, cwd=target_dir)
def edit_python_file(fnam: str) -> None:
with open(fnam) as f:
data = f.read()
data += "\n#"
with open(fnam, "w") as f:
f.write(data)
def run_benchmark(
compiled_dir: str, check_dir: str, *, incremental: bool, code: str | None
) -> float:
cache_dir = os.path.join(compiled_dir, ".mypy_cache")
if os.path.isdir(cache_dir) and not incremental:
shutil.rmtree(cache_dir)
env = os.environ.copy()
env["PYTHONPATH"] = os.path.abspath(compiled_dir)
env["PYTHONHASHSEED"] = "1"
abschk = os.path.abspath(check_dir)
cmd = [sys.executable, "-m", "mypy"]
if code:
cmd += ["-c", code]
else:
cmd += ["--config-file", os.path.join(abschk, "mypy_self_check.ini")]
cmd += glob.glob(os.path.join(abschk, "mypy/*.py"))
cmd += glob.glob(os.path.join(abschk, "mypy/*/*.py"))
if incremental:
# Update a few files to force non-trivial incremental run
edit_python_file(os.path.join(abschk, "mypy/__main__.py"))
edit_python_file(os.path.join(abschk, "mypy/test/testcheck.py"))
t0 = time.time()
# Ignore errors, since some commits being measured may generate additional errors.
subprocess.run(cmd, cwd=compiled_dir, env=env)
return time.time() - t0
def main() -> None:
parser = argparse.ArgumentParser()
parser.add_argument(
"--incremental",
default=False,
action="store_true",
help="measure incremental run (fully cached)",
)
parser.add_argument(
"--num-runs",
metavar="N",
default=15,
type=int,
help="set number of measurements to perform (default=15)",
)
parser.add_argument(
"-j",
metavar="N",
default=8,
type=int,
help="set maximum number of parallel builds (default=8)",
)
parser.add_argument(
"-c",
metavar="CODE",
default=None,
type=str,
help="measure time to type check Python code fragment instead of mypy self-check",
)
parser.add_argument("commit", nargs="+", help="git revision to measure (e.g. branch name)")
args = parser.parse_args()
incremental: bool = args.incremental
commits = args.commit
num_runs: int = args.num_runs + 1
max_workers: int = args.j
code: str | None = args.c
if not (os.path.isdir(".git") and os.path.isdir("mypyc")):
sys.exit("error: Run this the mypy repo root")
target_dirs = []
for i, commit in enumerate(commits):
target_dir = f"mypy.{i}.tmpdir"
target_dirs.append(target_dir)
clone(target_dir, commit)
self_check_dir = "mypy.self.tmpdir"
clone(self_check_dir, commits[0])
heading("Compiling mypy")
print("(This will take a while...)")
with ThreadPoolExecutor(max_workers=max_workers) as executor:
futures = [executor.submit(build_mypy, target_dir) for target_dir in target_dirs]
for future in as_completed(futures):
future.result()
print(f"Finished compiling mypy ({len(commits)} builds)")
heading("Performing measurements")
results: dict[str, list[float]] = {}
for n in range(num_runs):
if n == 0:
print("Warmup...")
else:
print(f"Run {n}/{num_runs - 1}...")
items = list(enumerate(commits))
random.shuffle(items)
for i, commit in items:
tt = run_benchmark(target_dirs[i], self_check_dir, incremental=incremental, code=code)
# Don't record the first warm-up run
if n > 0:
print(f"{commit}: t={tt:.3f}s")
results.setdefault(commit, []).append(tt)
print()
heading("Results")
first = -1.0
for commit in commits:
tt = statistics.mean(results[commit])
if first < 0:
delta = "0.0%"
first = tt
else:
d = (tt / first) - 1
delta = f"{d:+.1%}"
print(f"{commit:<25} {tt:.3f}s ({delta})")
shutil.rmtree(self_check_dir)
for target_dir in target_dirs:
shutil.rmtree(target_dir)
if __name__ == "__main__":
main()