GH-73435: Implement recursive wildcards in pathlib.PurePath.match()
#101398
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…ch() Add a new *recursive* argument to `pathlib.PurePath.match()`, defaulting to `False`. If set to true, `match()` handles the `**` wildcard as in `Path.glob()`, i.e. it matches any number of path segments. We now compile a `re.Pattern` object for the entire pattern. This is made more difficult by `fnmatch` not treating directory separators as special when evaluating wildcards (`*`, `?`, etc), and so we arrange the path parts onto separate *lines* in a string, and ensure we don't set `re.DOTALL`.
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This was referenced Mar 12, 2023
barneygale
changed the title
pathlib.PurePath.match()
zooba
reviewed
May 30, 2023
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Perfect! Ship it |
AlexWaygood
reviewed
May 30, 2023
Co-authored-by: Alex Waygood <[email protected]>
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Thank you for your help Alex, Hugo and Steve! |
This was referenced Jul 2, 2023
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Hey, if it interests anyone, I have a follow-up PR that simplifies a bunch of the code added in this PR. It does this by adding a new seps parameter to |
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PurePath.match()now handles the**wildcard as inPath.glob(), i.e. it matches any number of path segments.We now compile a
re.Patternobject for the entire pattern. This is made more difficult byfnmatchnot treating directory separators as special when evaluating wildcards (*,?, etc), and so we arrange the path parts onto separate lines in a string, and ensure we don't setre.DOTALL.This improves performance of
match()around 2x-3x times for simple patterns, and more for complex patterns:$ ./python -m timeit \ -s 'from pathlib import PureWindowsPath as P; path = P("C:/foo/bar.py"); pattern = P("c:/*/*.py")' \ 'path.match(pattern)' 50000 loops, best of 5: 8.13 usec per loop # before 1000000 loops, best of 5: 297 nsec per loop # after