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Edit: /opt/cloudlinux/venv/lib/python3.11/site-packages/setuptools/_entry_points.py (2468B)
import functools import itertools import operator from jaraco.functools import pass_none from jaraco.text import yield_lines from more_itertools import consume from ._importlib import metadata from ._itertools import ensure_unique from .errors import OptionError def ensure_valid(ep): """ Exercise one of the dynamic properties to trigger the pattern match. This function is deprecated in favor of importlib_metadata 8.7 and Python 3.14 importlib.metadata, which validates entry points on construction. """ try: ep.extras except (AttributeError, AssertionError) as ex: # Why both? See https://github.com/python/importlib_metadata/issues/488 msg = ( f"Problems to parse {ep}.\nPlease ensure entry-point follows the spec: " "https://packaging.python.org/en/latest/specifications/entry-points/" ) raise OptionError(msg) from ex def load_group(value, group): """ Given a value of an entry point or series of entry points, return each as an EntryPoint. """ # normalize to a single sequence of lines lines = yield_lines(value) text = f'[{group}]\n' + '\n'.join(lines) return metadata.EntryPoints._from_text(text) def by_group_and_name(ep): return ep.group, ep.name def validate(eps: metadata.EntryPoints): """ Ensure entry points are unique by group and name and validate each. """ consume(map(ensure_valid, ensure_unique(eps, key=by_group_and_name))) return eps @functools.singledispatch def load(eps): """ Given a Distribution.entry_points, produce EntryPoints. """ groups = itertools.chain.from_iterable( load_group(value, group) for group, value in eps.items() ) return validate(metadata.EntryPoints(groups)) @load.register(str) def _(eps): r""" >>> ep, = load('[console_scripts]\nfoo=bar') >>> ep.group 'console_scripts' >>> ep.name 'foo' >>> ep.value 'bar' """ return validate(metadata.EntryPoints(metadata.EntryPoints._from_text(eps))) load.register(type(None), lambda x: x) @pass_none def render(eps: metadata.EntryPoints): by_group = operator.attrgetter('group') groups = itertools.groupby(sorted(eps, key=by_group), by_group) return '\n'.join(f'[{group}]\n{render_items(items)}\n' for group, items in groups) def render_items(eps): return '\n'.join(f'{ep.name} = {ep.value}' for ep in sorted(eps))