mirror of
https://github.com/uutils/coreutils
synced 2024-12-15 07:42:48 +00:00
91 lines
2.3 KiB
Python
91 lines
2.3 KiB
Python
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import subprocess
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from itertools import product
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import shutil
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import os
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from collections import defaultdict
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from pprint import pprint
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# Set to false if you've only changed the analysis and do not want to recompile
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# the binaries.
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RECOMPILE = True
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STRIP_VALS = ["none", "debuginfo", "symbols"]
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PANIC_VALS = ["unwind", "abort"]
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OPT_LEVEL_VALS = [3, "s", "z"]
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LTO_VALS = ["off", "thin", "fat"]
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def config(name, val):
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return ["--config", f"profile.release.{name}={val!r}"]
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sizes = {}
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for (strip, panic, opt, lto) in product(
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STRIP_VALS, PANIC_VALS, OPT_LEVEL_VALS, LTO_VALS
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):
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if RECOMPILE:
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cmd = [
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"cargo",
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"build",
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"--release",
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"--features=unix",
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*config("strip", strip),
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*config("panic", panic),
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*config("opt-level", opt),
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*config("lto", lto),
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]
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print("RUN:", " ".join(cmd))
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res = subprocess.call(cmd)
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shutil.copyfile(
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"target/release/coreutils",
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"-".join(["coreutils", strip, panic, str(opt), lto]),
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)
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print(res)
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sizes[(strip, panic, opt, lto)] = os.path.getsize(
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"-".join(["coreutils", strip, panic, str(opt), lto])
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)
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changes_absolute = defaultdict(list)
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changes_percent = defaultdict(list)
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def with_val_at_idx(val, idx, other):
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other = list(other)
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other.insert(idx, val)
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return tuple(other)
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def collect_diff(idx, name):
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all_params = [STRIP_VALS, PANIC_VALS, OPT_LEVEL_VALS, LTO_VALS]
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vals = all_params.pop(idx)
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for other in product(*all_params):
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baseline = sizes[with_val_at_idx(vals[0], idx, other)]
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for val in vals[1:]:
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changes = sizes[with_val_at_idx(val, idx, other)] - baseline
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changes_absolute[f"{name}={val}"].append(changes)
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changes_percent[f"{name}={val}"].append(changes / baseline * 100)
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collect_diff(0, "strip")
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collect_diff(1, "panic")
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collect_diff(2, "opt-level")
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collect_diff(3, "lto")
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def analyze(l):
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return f"MIN: {float(min(l)):.3}, AVG: {float(sum(l)/len(l)):.3}, MAX: {float(max(l)):.3}"
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print("Absolute changes")
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pprint({k: analyze(v) for k, v in changes_absolute.items()})
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print()
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print("Percent changes")
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pprint({k: analyze(v) for k, v in changes_percent.items()})
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print()
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print(changes_percent["opt-level=s"])
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print(changes_percent["opt-level=z"])
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