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authorJason R. Coombs <jaraco@jaraco.com>2021-05-31 15:52:29 (GMT)
committerGitHub <noreply@github.com>2021-05-31 15:52:29 (GMT)
commit410b70d39d9d77384f8b8597560f6731530149ca (patch)
treeffe2cf91cc5f80bc9b81acc951dd315459bbb0d3 /Lib/importlib
parent142e5c5445c019542246d93fe2f9e195d3131686 (diff)
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bpo-44246: Entry points performance improvements. (GH-26467)
From importlib_metadata 4.3.1.
Diffstat (limited to 'Lib/importlib')
-rw-r--r--Lib/importlib/metadata/__init__.py24
1 files changed, 23 insertions, 1 deletions
diff --git a/Lib/importlib/metadata/__init__.py b/Lib/importlib/metadata/__init__.py
index 94b8386..2e3403e 100644
--- a/Lib/importlib/metadata/__init__.py
+++ b/Lib/importlib/metadata/__init__.py
@@ -494,6 +494,11 @@ class Distribution:
return self.metadata['Name']
@property
+ def _normalized_name(self):
+ """Return a normalized version of the name."""
+ return Prepared.normalize(self.name)
+
+ @property
def version(self):
"""Return the 'Version' metadata for the distribution package."""
return self.metadata['Version']
@@ -795,6 +800,22 @@ class PathDistribution(Distribution):
def locate_file(self, path):
return self._path.parent / path
+ @property
+ def _normalized_name(self):
+ """
+ Performance optimization: where possible, resolve the
+ normalized name from the file system path.
+ """
+ stem = os.path.basename(str(self._path))
+ return self._name_from_stem(stem) or super()._normalized_name
+
+ def _name_from_stem(self, stem):
+ name, ext = os.path.splitext(stem)
+ if ext not in ('.dist-info', '.egg-info'):
+ return
+ name, sep, rest = stem.partition('-')
+ return name
+
def distribution(distribution_name):
"""Get the ``Distribution`` instance for the named package.
@@ -849,7 +870,8 @@ def entry_points(**params) -> Union[EntryPoints, SelectableGroups]:
:return: EntryPoints or SelectableGroups for all installed packages.
"""
- unique = functools.partial(unique_everseen, key=operator.attrgetter('name'))
+ norm_name = operator.attrgetter('_normalized_name')
+ unique = functools.partial(unique_everseen, key=norm_name)
eps = itertools.chain.from_iterable(
dist.entry_points for dist in unique(distributions())
)