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).
82 lines
2.5 KiB
Python
Executable File
82 lines
2.5 KiB
Python
Executable File
#!/usr/bin/env python
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from __future__ import print_function
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desc = """Generate the difference of two YAML files into a new YAML file (works on
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pair of directories too). A new attribute 'Added' is set to True or False
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depending whether the entry is added or removed from the first input to the
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next.
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The tools requires PyYAML."""
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import yaml
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# Try to use the C parser.
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try:
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from yaml import CLoader as Loader
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except ImportError:
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from yaml import Loader
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import optrecord
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import argparse
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from collections import defaultdict
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if __name__ == "__main__":
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parser = argparse.ArgumentParser(description=desc)
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parser.add_argument(
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"yaml_dir_or_file_1",
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help="An optimization record file or a directory searched for optimization "
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"record files that are used as the old version for the comparison",
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)
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parser.add_argument(
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"yaml_dir_or_file_2",
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help="An optimization record file or a directory searched for optimization "
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"record files that are used as the new version for the comparison",
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)
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parser.add_argument(
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"--jobs",
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"-j",
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default=None,
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type=int,
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help="Max job count (defaults to %(default)s, the current CPU count)",
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)
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parser.add_argument(
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"--max-size",
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"-m",
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default=100000,
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type=int,
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help="Maximum number of remarks stored in an output file",
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)
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parser.add_argument(
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"--no-progress-indicator",
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"-n",
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action="store_true",
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default=False,
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help="Do not display any indicator of how many YAML files were read.",
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)
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parser.add_argument("--output", "-o", default="diff{}.opt.yaml")
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args = parser.parse_args()
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files1 = optrecord.find_opt_files(args.yaml_dir_or_file_1)
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files2 = optrecord.find_opt_files(args.yaml_dir_or_file_2)
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print_progress = not args.no_progress_indicator
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all_remarks1, _, _ = optrecord.gather_results(files1, args.jobs, print_progress)
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all_remarks2, _, _ = optrecord.gather_results(files2, args.jobs, print_progress)
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added = set(all_remarks2.values()) - set(all_remarks1.values())
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removed = set(all_remarks1.values()) - set(all_remarks2.values())
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for r in added:
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r.Added = True
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for r in removed:
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r.Added = False
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result = list(added | removed)
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for r in result:
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r.recover_yaml_structure()
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for i in range(0, len(result), args.max_size):
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with open(args.output.format(i / args.max_size), "w") as stream:
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yaml.dump_all(result[i : i + args.max_size], stream)
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