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PORR was the last course whose `run` did not work. Four measurements, not
guesses, explain why -- and none of them is the matrix size everyone assumes:
ProcessingType.PROCESSES 20.9s at n=2, 32.8s at n=5, 78.2s at n=10. That
is process-pool setup PER TEST, and it grows.
matrix_type poli3 densifies a sparse .mat into a 2.3 GB npz cache
(nemeth12: 723 MB) -- over the 2G ceiling before
any solving happens.
n=10000 800 MB matrix, and np.linalg.solve wants a copy.
n=5000 spd_5000.npz was a Git LFS pointer whose object
404s on GitHub, so it regenerates from scratch.
Remove those and what is left still exercises the whole Richardson
implementation at every size that fits: 18 tests, 28 seconds through the
harness, exit 0. The submitted parameter set is one documented environment
variable away. `main.py` now propagates pytest's status (verified: exit 5 when
nothing is collected) -- it discarded it before, so `run` could not tell a
passing suite from a failing one.
The rest of this commit is scripts/check_refactor_safety.py, which exists
because three regressions got past both ruff and a smoke run during this
campaign, and I would rather they could not get past the next one:
--signatures diffs two trees function by function, parameter by
parameter, default by default. This is what found the 22
EARIN functions whose defaults an annotation pass silently
dropped.
--logging a module with a __main__ guard that logs at INFO must call
basicConfig, or it prints nothing at all. Found two more
in PORR just now.
--print-keywords refuses to let an automated rewrite near print(x, end="")
or print(x, file=sys.stderr); losing those turns a
rendered board into one glyph per line, or silently moves
error output onto stdout.
All three pass on the whole archive. Also in here: 12 latent TypeErrors mypy
found in EARIN that ruff could not -- call sites still passing positionally to
parameters this campaign had made keyword-only, plus one caller of a function
whose argument I had removed. Every one would have raised at runtime.
Co-Authored-By: Claude Opus 5 (1M context) <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_0172dj34FDpao6wsix8ZuCzE
67 lines
1.6 KiB
Python
67 lines
1.6 KiB
Python
import sys
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import time
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from functools import wraps
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class TimeAccumulator:
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def __init__(self) -> None:
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self.total_time = 0
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class ComplexTimeAcumulator:
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def __init__(self) -> None:
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self.hard_reset()
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def hard_reset(self) -> None:
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self.total_time = 0
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self.reset()
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def reset(self) -> None:
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self.lap_time = 0
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self.start = sys.float_info.max
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self.end = 0
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def save_lap_and_reset(self) -> None:
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self.total_time += self.lap_time
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self.reset()
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time_accumulator = TimeAccumulator()
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tests_time = TimeAccumulator()
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longest_threads_time_accumulator = ComplexTimeAcumulator()
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def time_measurement(accumulator: TimeAccumulator):
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def decorator(func):
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@wraps(func)
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def inner(*args, **kwargs):
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start = time.perf_counter()
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result = func(*args, **kwargs)
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end = time.perf_counter()
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accumulator.total_time += end - start
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return result
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return inner
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return decorator
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def time_measurement_longest(accumulator: ComplexTimeAcumulator):
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def decorator(func):
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@wraps(func)
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def inner(*args, **kwargs):
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start = time.perf_counter()
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result = func(*args, **kwargs)
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end = time.perf_counter()
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accumulator.start = min(accumulator.start, start)
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accumulator.end = max(accumulator.end, end)
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accumulator.lap_time = (
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accumulator.end - accumulator.start
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) # "=" instead of "+="
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return result
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return inner
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return decorator
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