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https://github.com/kuhyx/WUT_Computer_Science.git
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Krzysztof kuhy Rudnicki
42007d56e4
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
76 lines
2.1 KiB
Python
76 lines
2.1 KiB
Python
import gc
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import logging
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import multiprocessing
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import sys
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import threading
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import time
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import numpy as np
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from time_measurement import (
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longest_time_accumulator,
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tests_time,
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time_measurement_longest,
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)
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logger = logging.getLogger(__name__)
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@time_measurement_longest(longest_time_accumulator)
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def RichardsonThread(A, b, x, _x, omega, start, end) -> None:
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for i in range(start, end):
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sigma = np.dot(A[i, :], _x) - A[i, i] * _x[i]
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x[i] = (1 - omega) * _x[i] + omega * (b[i] - sigma) / A[i, i]
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def RichardsonMethodThreads(
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A, b, lambda_min, lambda_max, max_iterations, x0=None, tol=1e-5
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):
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longest_time_accumulator.total_time = 0
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longest_time_accumulator.start = sys.float_info.max
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longest_time_accumulator.end = 0
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gc.disable()
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start_time = time.perf_counter()
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n = len(b)
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x0 = x0 if x0 is not None else [0.0] * len(b)
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x = x0[:]
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omega = 0.05 # 2 / (lambda_min + lambda_max)
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num_threads = multiprocessing.cpu_count()
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threads = []
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chunk_size = n // num_threads
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max_iterations = 1000
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for _ in range(max_iterations):
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_x = x[:]
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for i in range(num_threads):
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start = (
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i * chunk_size
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) # start jest indeksem w A. Wątki otrzymują kolejny punkt startowy będący wielokrotnością rozmiaru porcji na wątek
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end = n if i == num_threads - 1 else (i + 1) * chunk_size
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thread = threading.Thread(
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target=RichardsonThread, args=(A, b, x, _x, omega, start, end)
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)
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threads.append(thread)
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thread.start()
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for thread in threads:
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thread.join()
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# break
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end_time = time.perf_counter()
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gc.enable()
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total_time = end_time - start_time
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sequential_time = total_time - longest_time_accumulator.total_time
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logger.info(
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"Total: %ss, Seq: %ss, Parallel (threads): %ss, Tests time: %ss",
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total_time,
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sequential_time,
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longest_time_accumulator.total_time,
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tests_time.total_time,
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)
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return x, 0
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