20632486505

Committed 01 Jan 2026 04:21AM UTC coverage: 43.231% (-37.1%) from 80.281%

Build # 20632486505

Build Type

Pull #22962

github

Committed by

web-flow

Commit Message

Merge 08d5c63b0 into f52ab6675

Pull Request Pull Request #22962: Bump the gha-deps group across 1 directory with 6 updates

Run Details

26122 of 60424 relevant lines covered (43.23%)

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35.48

/src/python/pants/util/filtering.py

# Copyright 2015 Pants project contributors (see CONTRIBUTORS.md).
# Licensed under the Apache License, Version 2.0 (see LICENSE).

from __future__ import annotations

import operator
from collections.abc import Callable, Iterable
from typing import TYPE_CHECKING, TypeVar

if TYPE_CHECKING:
    from pants.engine.target import Target

    # Working around pyupgrade erasing this import, breaking mypy
    _ = Target


_T = TypeVar("_T")
Filter = Callable[[_T], bool]
TargetFilter = Callable[["Target"], bool]


def _extract_modifier(modified_param: str) -> tuple[Callable[[bool], bool], str]:
    if modified_param.startswith("-"):
        return operator.not_, modified_param[1:]

    def identity_func(x):
        return x

    return identity_func, modified_param[1:] if modified_param.startswith("+") else modified_param


def create_filter(predicate_param: str, predicate_factory: Callable[[str], Filter]) -> Filter:
    """Create a filter function from a string parameter.

    :param predicate_param: Create a filter for this param string. Each string is a
                            comma-separated list of arguments to the predicate_factory.
                            If the entire comma-separated list is prefixed by a '-' then the
                            sense of the resulting filter is inverted.
    :param predicate_factory: A function that takes a parameter and returns a predicate, i.e., a
                              function that takes a single parameter (of whatever type the filter
                              operates on) and returns a boolean.
    :return: A filter function of one argument that is the logical OR of the predicates for each of
             the comma-separated arguments. If the comma-separated list was prefixed by a '-',
             the sense of the filter is inverted.

    :API: public
    """
    modifier, param = _extract_modifier(predicate_param)
    predicates = [predicate_factory(p) for p in param.split(",")]

    def filt(x: _T) -> bool:
        return modifier(any(pred(x) for pred in predicates))

    return filt


def create_filters(
    predicate_params: Iterable[str], predicate_factory: Callable[[str], Filter]
) -> list[Filter]:
    """Create filter functions from a list of string parameters.

    :param predicate_params: A list of predicate_param arguments as in `create_filter`.
    :param predicate_factory: As in `create_filter`.

    :API: public
    """
    filters = []
    for predicate_param in predicate_params:
        filters.append(create_filter(predicate_param, predicate_factory))
    return filters


def and_filters(filters: Iterable[Filter]) -> Filter:
    """Returns a single filter that short-circuit ANDs the specified filters.

    :API: public
    """

    def combined_filter(x: _T) -> bool:
        for filt in filters:
            if not filt(x):
                return False
        return True

    return combined_filter

1	# Copyright 2015 Pants project contributors (see CONTRIBUTORS.md).
2	# Licensed under the Apache License, Version 2.0 (see LICENSE).
3
4	from __future__ import annotations	2✔
5
6	import operator	2✔
7	from collections.abc import Callable, Iterable	2✔
8	from typing import TYPE_CHECKING, TypeVar	2✔
9
10	if TYPE_CHECKING:
11	from pants.engine.target import Target
12
13	# Working around pyupgrade erasing this import, breaking mypy
14	_ = Target
15
16
17	_T = TypeVar("_T")	2✔
18	Filter = Callable[[_T], bool]	2✔
19	TargetFilter = Callable[["Target"], bool]	2✔
20
21
22	def _extract_modifier(modified_param: str) -> tuple[Callable[[bool], bool], str]:	2✔
23	if modified_param.startswith("-"):	×
24	return operator.not_, modified_param[1:]	×
25
26	def identity_func(x):	×
27	return x	×
28
29	return identity_func, modified_param[1:] if modified_param.startswith("+") else modified_param	×
30
31
32	def create_filter(predicate_param: str, predicate_factory: Callable[[str], Filter]) -> Filter:	2✔
33	"""Create a filter function from a string parameter.
34
35	:param predicate_param: Create a filter for this param string. Each string is a
36	comma-separated list of arguments to the predicate_factory.
37	If the entire comma-separated list is prefixed by a '-' then the
38	sense of the resulting filter is inverted.
39	:param predicate_factory: A function that takes a parameter and returns a predicate, i.e., a
40	function that takes a single parameter (of whatever type the filter
41	operates on) and returns a boolean.
42	:return: A filter function of one argument that is the logical OR of the predicates for each of
43	the comma-separated arguments. If the comma-separated list was prefixed by a '-',
44	the sense of the filter is inverted.
45
46	:API: public
47	"""
48	modifier, param = _extract_modifier(predicate_param)	×
49	predicates = [predicate_factory(p) for p in param.split(",")]	×
50
51	def filt(x: _T) -> bool:	×
52	return modifier(any(pred(x) for pred in predicates))	×
53
54	return filt	×
55
56
57	def create_filters(	2✔
58	predicate_params: Iterable[str], predicate_factory: Callable[[str], Filter]
59	) -> list[Filter]:
60	"""Create filter functions from a list of string parameters.
61
62	:param predicate_params: A list of predicate_param arguments as in `create_filter`.
63	:param predicate_factory: As in `create_filter`.
64
65	:API: public
66	"""
67	filters = []	×
68	for predicate_param in predicate_params:	×
69	filters.append(create_filter(predicate_param, predicate_factory))	×
70	return filters	×
71
72
73	def and_filters(filters: Iterable[Filter]) -> Filter:	2✔
74	"""Returns a single filter that short-circuit ANDs the specified filters.
75
76	:API: public
77	"""
78
79	def combined_filter(x: _T) -> bool:	×
80	for filt in filters:	×
81	if not filt(x):	×
82	return False	×
83	return True	×
84
85	return combined_filter	×

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