vasilito
cb424d7448
verify-patch-sanity.py validates every active recipe .patch has internally- consistent hunk line counts — catching the 'malformed patch at line N' failure at commit/CI/preflight time instead of hours into a cook. This cycle hit that class three times (qtwaylandscanner, sddm, xwayland), each only discovered when cookbook tried to apply the patch. Running it across the repo found 29 latent malformed patches (validated against GNU patch: e.g. relibc/P3-sysv-ipc reproduces 'malformed patch at line 22'). They were harmless only because they sit in vendored recipes (baked, not re- applied) — but would fail on any version-bump re-derivation. --fix recounts the hunk headers (body untouched) and repaired all 29. Wired into build-preflight.sh (Phase 1.0D) and redbear-ci.yml, with a unit test (test-patch-sanity.sh). Skips archived/legacy trees and unvalidatable formats (empty placeholders, bare-@@ git hunks).
64 lines
1.7 KiB
Python
64 lines
1.7 KiB
Python
import sys
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import multiprocessing
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_current = None
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_total = None
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def _init(current, total):
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global _current
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global _total
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_current = current
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_total = total
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def _wrapped_func(func_and_args):
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func, argument, should_print_progress, filter_ = func_and_args
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if should_print_progress:
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with _current.get_lock():
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_current.value += 1
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sys.stdout.write("\r\t{} of {}".format(_current.value, _total.value))
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sys.stdout.flush()
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return func(argument, filter_)
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def pmap(
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func, iterable, processes, should_print_progress, filter_=None, *args, **kwargs
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):
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"""
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A parallel map function that reports on its progress.
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Applies `func` to every item of `iterable` and return a list of the
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results. If `processes` is greater than one, a process pool is used to run
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the functions in parallel. `should_print_progress` is a boolean value that
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indicates whether a string 'N of M' should be printed to indicate how many
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of the functions have finished being run.
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"""
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global _current
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global _total
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_current = multiprocessing.Value("i", 0)
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_total = multiprocessing.Value("i", len(iterable))
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func_and_args = [(func, arg, should_print_progress, filter_) for arg in iterable]
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if processes == 1:
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result = list(map(_wrapped_func, func_and_args, *args, **kwargs))
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else:
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pool = multiprocessing.Pool(
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initializer=_init,
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initargs=(
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_current,
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_total,
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),
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processes=processes,
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)
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result = pool.map(_wrapped_func, func_and_args, *args, **kwargs)
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pool.close()
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pool.join()
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if should_print_progress:
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sys.stdout.write("\r")
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return result
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