build: Install Python dependencies and initialize the virtual environment.

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Authors
=======
``pyjwt`` is currently written and maintained by `Jose Padilla <https://github.com/jpadilla>`_.
Originally written and maintained by `Jeff Lindsay <https://github.com/progrium>`_.
A full list of contributors can be found on GitHubs `overview <https://github.com/jpadilla/pyjwt/graphs/contributors>`_.

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pip

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The MIT License (MIT)
Copyright (c) 2015-2022 José Padilla
Permission is hereby granted, free of charge, to any person obtaining a copy
of this software and associated documentation files (the "Software"), to deal
in the Software without restriction, including without limitation the rights
to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
copies of the Software, and to permit persons to whom the Software is
furnished to do so, subject to the following conditions:
The above copyright notice and this permission notice shall be included in all
copies or substantial portions of the Software.
THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
SOFTWARE.

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Metadata-Version: 2.1
Name: PyJWT
Version: 2.10.1
Summary: JSON Web Token implementation in Python
Author-email: Jose Padilla <hello@jpadilla.com>
License: MIT
Project-URL: Homepage, https://github.com/jpadilla/pyjwt
Keywords: json,jwt,security,signing,token,web
Classifier: Development Status :: 5 - Production/Stable
Classifier: Intended Audience :: Developers
Classifier: License :: OSI Approved :: MIT License
Classifier: Natural Language :: English
Classifier: Programming Language :: Python
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3 :: Only
Classifier: Programming Language :: Python :: 3.9
Classifier: Programming Language :: Python :: 3.10
Classifier: Programming Language :: Python :: 3.11
Classifier: Programming Language :: Python :: 3.12
Classifier: Programming Language :: Python :: 3.13
Classifier: Topic :: Utilities
Requires-Python: >=3.9
Description-Content-Type: text/x-rst
License-File: LICENSE
License-File: AUTHORS.rst
Provides-Extra: crypto
Requires-Dist: cryptography>=3.4.0; extra == "crypto"
Provides-Extra: dev
Requires-Dist: coverage[toml]==5.0.4; extra == "dev"
Requires-Dist: cryptography>=3.4.0; extra == "dev"
Requires-Dist: pre-commit; extra == "dev"
Requires-Dist: pytest<7.0.0,>=6.0.0; extra == "dev"
Requires-Dist: sphinx; extra == "dev"
Requires-Dist: sphinx-rtd-theme; extra == "dev"
Requires-Dist: zope.interface; extra == "dev"
Provides-Extra: docs
Requires-Dist: sphinx; extra == "docs"
Requires-Dist: sphinx-rtd-theme; extra == "docs"
Requires-Dist: zope.interface; extra == "docs"
Provides-Extra: tests
Requires-Dist: coverage[toml]==5.0.4; extra == "tests"
Requires-Dist: pytest<7.0.0,>=6.0.0; extra == "tests"
PyJWT
=====
.. image:: https://github.com/jpadilla/pyjwt/workflows/CI/badge.svg
:target: https://github.com/jpadilla/pyjwt/actions?query=workflow%3ACI
.. image:: https://img.shields.io/pypi/v/pyjwt.svg
:target: https://pypi.python.org/pypi/pyjwt
.. image:: https://codecov.io/gh/jpadilla/pyjwt/branch/master/graph/badge.svg
:target: https://codecov.io/gh/jpadilla/pyjwt
.. image:: https://readthedocs.org/projects/pyjwt/badge/?version=stable
:target: https://pyjwt.readthedocs.io/en/stable/
A Python implementation of `RFC 7519 <https://tools.ietf.org/html/rfc7519>`_. Original implementation was written by `@progrium <https://github.com/progrium>`_.
Sponsor
-------
.. |auth0-logo| image:: https://github.com/user-attachments/assets/ee98379e-ee76-4bcb-943a-e25c4ea6d174
:width: 160px
+--------------+-------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------+
| |auth0-logo| | If you want to quickly add secure token-based authentication to Python projects, feel free to check Auth0's Python SDK and free plan at `auth0.com/signup <https://auth0.com/signup?utm_source=external_sites&utm_medium=pyjwt&utm_campaign=devn_signup>`_. |
+--------------+-----------------------------------------------------------------+-------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------+
Installing
----------
Install with **pip**:
.. code-block:: console
$ pip install PyJWT
Usage
-----
.. code-block:: pycon
>>> import jwt
>>> encoded = jwt.encode({"some": "payload"}, "secret", algorithm="HS256")
>>> print(encoded)
eyJhbGciOiJIUzI1NiIsInR5cCI6IkpXVCJ9.eyJzb21lIjoicGF5bG9hZCJ9.4twFt5NiznN84AWoo1d7KO1T_yoc0Z6XOpOVswacPZg
>>> jwt.decode(encoded, "secret", algorithms=["HS256"])
{'some': 'payload'}
Documentation
-------------
View the full docs online at https://pyjwt.readthedocs.io/en/stable/
Tests
-----
You can run tests from the project root after cloning with:
.. code-block:: console
$ tox

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Wheel-Version: 1.0
Generator: setuptools (75.6.0)
Root-Is-Purelib: true
Tag: py3-none-any

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# don't import any costly modules
import sys
import os
is_pypy = '__pypy__' in sys.builtin_module_names
def warn_distutils_present():
if 'distutils' not in sys.modules:
return
if is_pypy and sys.version_info < (3, 7):
# PyPy for 3.6 unconditionally imports distutils, so bypass the warning
# https://foss.heptapod.net/pypy/pypy/-/blob/be829135bc0d758997b3566062999ee8b23872b4/lib-python/3/site.py#L250
return
import warnings
warnings.warn(
"Distutils was imported before Setuptools, but importing Setuptools "
"also replaces the `distutils` module in `sys.modules`. This may lead "
"to undesirable behaviors or errors. To avoid these issues, avoid "
"using distutils directly, ensure that setuptools is installed in the "
"traditional way (e.g. not an editable install), and/or make sure "
"that setuptools is always imported before distutils."
)
def clear_distutils():
if 'distutils' not in sys.modules:
return
import warnings
warnings.warn("Setuptools is replacing distutils.")
mods = [
name
for name in sys.modules
if name == "distutils" or name.startswith("distutils.")
]
for name in mods:
del sys.modules[name]
def enabled():
"""
Allow selection of distutils by environment variable.
"""
which = os.environ.get('SETUPTOOLS_USE_DISTUTILS', 'local')
return which == 'local'
def ensure_local_distutils():
import importlib
clear_distutils()
# With the DistutilsMetaFinder in place,
# perform an import to cause distutils to be
# loaded from setuptools._distutils. Ref #2906.
with shim():
importlib.import_module('distutils')
# check that submodules load as expected
core = importlib.import_module('distutils.core')
assert '_distutils' in core.__file__, core.__file__
assert 'setuptools._distutils.log' not in sys.modules
def do_override():
"""
Ensure that the local copy of distutils is preferred over stdlib.
See https://github.com/pypa/setuptools/issues/417#issuecomment-392298401
for more motivation.
"""
if enabled():
warn_distutils_present()
ensure_local_distutils()
class _TrivialRe:
def __init__(self, *patterns):
self._patterns = patterns
def match(self, string):
return all(pat in string for pat in self._patterns)
class DistutilsMetaFinder:
def find_spec(self, fullname, path, target=None):
# optimization: only consider top level modules and those
# found in the CPython test suite.
if path is not None and not fullname.startswith('test.'):
return
method_name = 'spec_for_{fullname}'.format(**locals())
method = getattr(self, method_name, lambda: None)
return method()
def spec_for_distutils(self):
if self.is_cpython():
return
import importlib
import importlib.abc
import importlib.util
try:
mod = importlib.import_module('setuptools._distutils')
except Exception:
# There are a couple of cases where setuptools._distutils
# may not be present:
# - An older Setuptools without a local distutils is
# taking precedence. Ref #2957.
# - Path manipulation during sitecustomize removes
# setuptools from the path but only after the hook
# has been loaded. Ref #2980.
# In either case, fall back to stdlib behavior.
return
class DistutilsLoader(importlib.abc.Loader):
def create_module(self, spec):
mod.__name__ = 'distutils'
return mod
def exec_module(self, module):
pass
return importlib.util.spec_from_loader(
'distutils', DistutilsLoader(), origin=mod.__file__
)
@staticmethod
def is_cpython():
"""
Suppress supplying distutils for CPython (build and tests).
Ref #2965 and #3007.
"""
return os.path.isfile('pybuilddir.txt')
def spec_for_pip(self):
"""
Ensure stdlib distutils when running under pip.
See pypa/pip#8761 for rationale.
"""
if self.pip_imported_during_build():
return
clear_distutils()
self.spec_for_distutils = lambda: None
@classmethod
def pip_imported_during_build(cls):
"""
Detect if pip is being imported in a build script. Ref #2355.
"""
import traceback
return any(
cls.frame_file_is_setup(frame) for frame, line in traceback.walk_stack(None)
)
@staticmethod
def frame_file_is_setup(frame):
"""
Return True if the indicated frame suggests a setup.py file.
"""
# some frames may not have __file__ (#2940)
return frame.f_globals.get('__file__', '').endswith('setup.py')
def spec_for_sensitive_tests(self):
"""
Ensure stdlib distutils when running select tests under CPython.
python/cpython#91169
"""
clear_distutils()
self.spec_for_distutils = lambda: None
sensitive_tests = (
[
'test.test_distutils',
'test.test_peg_generator',
'test.test_importlib',
]
if sys.version_info < (3, 10)
else [
'test.test_distutils',
]
)
for name in DistutilsMetaFinder.sensitive_tests:
setattr(
DistutilsMetaFinder,
f'spec_for_{name}',
DistutilsMetaFinder.spec_for_sensitive_tests,
)
DISTUTILS_FINDER = DistutilsMetaFinder()
def add_shim():
DISTUTILS_FINDER in sys.meta_path or insert_shim()
class shim:
def __enter__(self):
insert_shim()
def __exit__(self, exc, value, tb):
remove_shim()
def insert_shim():
sys.meta_path.insert(0, DISTUTILS_FINDER)
def remove_shim():
try:
sys.meta_path.remove(DISTUTILS_FINDER)
except ValueError:
pass

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__import__('_distutils_hack').do_override()

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Metadata-Version: 2.3
Name: annotated-types
Version: 0.7.0
Summary: Reusable constraint types to use with typing.Annotated
Project-URL: Homepage, https://github.com/annotated-types/annotated-types
Project-URL: Source, https://github.com/annotated-types/annotated-types
Project-URL: Changelog, https://github.com/annotated-types/annotated-types/releases
Author-email: Adrian Garcia Badaracco <1755071+adriangb@users.noreply.github.com>, Samuel Colvin <s@muelcolvin.com>, Zac Hatfield-Dodds <zac@zhd.dev>
License-File: LICENSE
Classifier: Development Status :: 4 - Beta
Classifier: Environment :: Console
Classifier: Environment :: MacOS X
Classifier: Intended Audience :: Developers
Classifier: Intended Audience :: Information Technology
Classifier: License :: OSI Approved :: MIT License
Classifier: Operating System :: POSIX :: Linux
Classifier: Operating System :: Unix
Classifier: Programming Language :: Python :: 3 :: Only
Classifier: Programming Language :: Python :: 3.8
Classifier: Programming Language :: Python :: 3.9
Classifier: Programming Language :: Python :: 3.10
Classifier: Programming Language :: Python :: 3.11
Classifier: Programming Language :: Python :: 3.12
Classifier: Topic :: Software Development :: Libraries :: Python Modules
Classifier: Typing :: Typed
Requires-Python: >=3.8
Requires-Dist: typing-extensions>=4.0.0; python_version < '3.9'
Description-Content-Type: text/markdown
# annotated-types
[![CI](https://github.com/annotated-types/annotated-types/workflows/CI/badge.svg?event=push)](https://github.com/annotated-types/annotated-types/actions?query=event%3Apush+branch%3Amain+workflow%3ACI)
[![pypi](https://img.shields.io/pypi/v/annotated-types.svg)](https://pypi.python.org/pypi/annotated-types)
[![versions](https://img.shields.io/pypi/pyversions/annotated-types.svg)](https://github.com/annotated-types/annotated-types)
[![license](https://img.shields.io/github/license/annotated-types/annotated-types.svg)](https://github.com/annotated-types/annotated-types/blob/main/LICENSE)
[PEP-593](https://peps.python.org/pep-0593/) added `typing.Annotated` as a way of
adding context-specific metadata to existing types, and specifies that
`Annotated[T, x]` _should_ be treated as `T` by any tool or library without special
logic for `x`.
This package provides metadata objects which can be used to represent common
constraints such as upper and lower bounds on scalar values and collection sizes,
a `Predicate` marker for runtime checks, and
descriptions of how we intend these metadata to be interpreted. In some cases,
we also note alternative representations which do not require this package.
## Install
```bash
pip install annotated-types
```
## Examples
```python
from typing import Annotated
from annotated_types import Gt, Len, Predicate
class MyClass:
age: Annotated[int, Gt(18)] # Valid: 19, 20, ...
# Invalid: 17, 18, "19", 19.0, ...
factors: list[Annotated[int, Predicate(is_prime)]] # Valid: 2, 3, 5, 7, 11, ...
# Invalid: 4, 8, -2, 5.0, "prime", ...
my_list: Annotated[list[int], Len(0, 10)] # Valid: [], [10, 20, 30, 40, 50]
# Invalid: (1, 2), ["abc"], [0] * 20
```
## Documentation
_While `annotated-types` avoids runtime checks for performance, users should not
construct invalid combinations such as `MultipleOf("non-numeric")` or `Annotated[int, Len(3)]`.
Downstream implementors may choose to raise an error, emit a warning, silently ignore
a metadata item, etc., if the metadata objects described below are used with an
incompatible type - or for any other reason!_
### Gt, Ge, Lt, Le
Express inclusive and/or exclusive bounds on orderable values - which may be numbers,
dates, times, strings, sets, etc. Note that the boundary value need not be of the
same type that was annotated, so long as they can be compared: `Annotated[int, Gt(1.5)]`
is fine, for example, and implies that the value is an integer x such that `x > 1.5`.
We suggest that implementors may also interpret `functools.partial(operator.le, 1.5)`
as being equivalent to `Gt(1.5)`, for users who wish to avoid a runtime dependency on
the `annotated-types` package.
To be explicit, these types have the following meanings:
* `Gt(x)` - value must be "Greater Than" `x` - equivalent to exclusive minimum
* `Ge(x)` - value must be "Greater than or Equal" to `x` - equivalent to inclusive minimum
* `Lt(x)` - value must be "Less Than" `x` - equivalent to exclusive maximum
* `Le(x)` - value must be "Less than or Equal" to `x` - equivalent to inclusive maximum
### Interval
`Interval(gt, ge, lt, le)` allows you to specify an upper and lower bound with a single
metadata object. `None` attributes should be ignored, and non-`None` attributes
treated as per the single bounds above.
### MultipleOf
`MultipleOf(multiple_of=x)` might be interpreted in two ways:
1. Python semantics, implying `value % multiple_of == 0`, or
2. [JSONschema semantics](https://json-schema.org/draft/2020-12/json-schema-validation.html#rfc.section.6.2.1),
where `int(value / multiple_of) == value / multiple_of`.
We encourage users to be aware of these two common interpretations and their
distinct behaviours, especially since very large or non-integer numbers make
it easy to cause silent data corruption due to floating-point imprecision.
We encourage libraries to carefully document which interpretation they implement.
### MinLen, MaxLen, Len
`Len()` implies that `min_length <= len(value) <= max_length` - lower and upper bounds are inclusive.
As well as `Len()` which can optionally include upper and lower bounds, we also
provide `MinLen(x)` and `MaxLen(y)` which are equivalent to `Len(min_length=x)`
and `Len(max_length=y)` respectively.
`Len`, `MinLen`, and `MaxLen` may be used with any type which supports `len(value)`.
Examples of usage:
* `Annotated[list, MaxLen(10)]` (or `Annotated[list, Len(max_length=10))`) - list must have a length of 10 or less
* `Annotated[str, MaxLen(10)]` - string must have a length of 10 or less
* `Annotated[list, MinLen(3))` (or `Annotated[list, Len(min_length=3))`) - list must have a length of 3 or more
* `Annotated[list, Len(4, 6)]` - list must have a length of 4, 5, or 6
* `Annotated[list, Len(8, 8)]` - list must have a length of exactly 8
#### Changed in v0.4.0
* `min_inclusive` has been renamed to `min_length`, no change in meaning
* `max_exclusive` has been renamed to `max_length`, upper bound is now **inclusive** instead of **exclusive**
* The recommendation that slices are interpreted as `Len` has been removed due to ambiguity and different semantic
meaning of the upper bound in slices vs. `Len`
See [issue #23](https://github.com/annotated-types/annotated-types/issues/23) for discussion.
### Timezone
`Timezone` can be used with a `datetime` or a `time` to express which timezones
are allowed. `Annotated[datetime, Timezone(None)]` must be a naive datetime.
`Timezone[...]` ([literal ellipsis](https://docs.python.org/3/library/constants.html#Ellipsis))
expresses that any timezone-aware datetime is allowed. You may also pass a specific
timezone string or [`tzinfo`](https://docs.python.org/3/library/datetime.html#tzinfo-objects)
object such as `Timezone(timezone.utc)` or `Timezone("Africa/Abidjan")` to express that you only
allow a specific timezone, though we note that this is often a symptom of fragile design.
#### Changed in v0.x.x
* `Timezone` accepts [`tzinfo`](https://docs.python.org/3/library/datetime.html#tzinfo-objects) objects instead of
`timezone`, extending compatibility to [`zoneinfo`](https://docs.python.org/3/library/zoneinfo.html) and third party libraries.
### Unit
`Unit(unit: str)` expresses that the annotated numeric value is the magnitude of
a quantity with the specified unit. For example, `Annotated[float, Unit("m/s")]`
would be a float representing a velocity in meters per second.
Please note that `annotated_types` itself makes no attempt to parse or validate
the unit string in any way. That is left entirely to downstream libraries,
such as [`pint`](https://pint.readthedocs.io) or
[`astropy.units`](https://docs.astropy.org/en/stable/units/).
An example of how a library might use this metadata:
```python
from annotated_types import Unit
from typing import Annotated, TypeVar, Callable, Any, get_origin, get_args
# given a type annotated with a unit:
Meters = Annotated[float, Unit("m")]
# you can cast the annotation to a specific unit type with any
# callable that accepts a string and returns the desired type
T = TypeVar("T")
def cast_unit(tp: Any, unit_cls: Callable[[str], T]) -> T | None:
if get_origin(tp) is Annotated:
for arg in get_args(tp):
if isinstance(arg, Unit):
return unit_cls(arg.unit)
return None
# using `pint`
import pint
pint_unit = cast_unit(Meters, pint.Unit)
# using `astropy.units`
import astropy.units as u
astropy_unit = cast_unit(Meters, u.Unit)
```
### Predicate
`Predicate(func: Callable)` expresses that `func(value)` is truthy for valid values.
Users should prefer the statically inspectable metadata above, but if you need
the full power and flexibility of arbitrary runtime predicates... here it is.
For some common constraints, we provide generic types:
* `IsLower = Annotated[T, Predicate(str.islower)]`
* `IsUpper = Annotated[T, Predicate(str.isupper)]`
* `IsDigit = Annotated[T, Predicate(str.isdigit)]`
* `IsFinite = Annotated[T, Predicate(math.isfinite)]`
* `IsNotFinite = Annotated[T, Predicate(Not(math.isfinite))]`
* `IsNan = Annotated[T, Predicate(math.isnan)]`
* `IsNotNan = Annotated[T, Predicate(Not(math.isnan))]`
* `IsInfinite = Annotated[T, Predicate(math.isinf)]`
* `IsNotInfinite = Annotated[T, Predicate(Not(math.isinf))]`
so that you can write e.g. `x: IsFinite[float] = 2.0` instead of the longer
(but exactly equivalent) `x: Annotated[float, Predicate(math.isfinite)] = 2.0`.
Some libraries might have special logic to handle known or understandable predicates,
for example by checking for `str.isdigit` and using its presence to both call custom
logic to enforce digit-only strings, and customise some generated external schema.
Users are therefore encouraged to avoid indirection like `lambda s: s.lower()`, in
favor of introspectable methods such as `str.lower` or `re.compile("pattern").search`.
To enable basic negation of commonly used predicates like `math.isnan` without introducing introspection that makes it impossible for implementers to introspect the predicate we provide a `Not` wrapper that simply negates the predicate in an introspectable manner. Several of the predicates listed above are created in this manner.
We do not specify what behaviour should be expected for predicates that raise
an exception. For example `Annotated[int, Predicate(str.isdigit)]` might silently
skip invalid constraints, or statically raise an error; or it might try calling it
and then propagate or discard the resulting
`TypeError: descriptor 'isdigit' for 'str' objects doesn't apply to a 'int' object`
exception. We encourage libraries to document the behaviour they choose.
### Doc
`doc()` can be used to add documentation information in `Annotated`, for function and method parameters, variables, class attributes, return types, and any place where `Annotated` can be used.
It expects a value that can be statically analyzed, as the main use case is for static analysis, editors, documentation generators, and similar tools.
It returns a `DocInfo` class with a single attribute `documentation` containing the value passed to `doc()`.
This is the early adopter's alternative form of the [`typing-doc` proposal](https://github.com/tiangolo/fastapi/blob/typing-doc/typing_doc.md).
### Integrating downstream types with `GroupedMetadata`
Implementers may choose to provide a convenience wrapper that groups multiple pieces of metadata.
This can help reduce verbosity and cognitive overhead for users.
For example, an implementer like Pydantic might provide a `Field` or `Meta` type that accepts keyword arguments and transforms these into low-level metadata:
```python
from dataclasses import dataclass
from typing import Iterator
from annotated_types import GroupedMetadata, Ge
@dataclass
class Field(GroupedMetadata):
ge: int | None = None
description: str | None = None
def __iter__(self) -> Iterator[object]:
# Iterating over a GroupedMetadata object should yield annotated-types
# constraint metadata objects which describe it as fully as possible,
# and may include other unknown objects too.
if self.ge is not None:
yield Ge(self.ge)
if self.description is not None:
yield Description(self.description)
```
Libraries consuming annotated-types constraints should check for `GroupedMetadata` and unpack it by iterating over the object and treating the results as if they had been "unpacked" in the `Annotated` type. The same logic should be applied to the [PEP 646 `Unpack` type](https://peps.python.org/pep-0646/), so that `Annotated[T, Field(...)]`, `Annotated[T, Unpack[Field(...)]]` and `Annotated[T, *Field(...)]` are all treated consistently.
Libraries consuming annotated-types should also ignore any metadata they do not recongize that came from unpacking a `GroupedMetadata`, just like they ignore unrecognized metadata in `Annotated` itself.
Our own `annotated_types.Interval` class is a `GroupedMetadata` which unpacks itself into `Gt`, `Lt`, etc., so this is not an abstract concern. Similarly, `annotated_types.Len` is a `GroupedMetadata` which unpacks itself into `MinLen` (optionally) and `MaxLen`.
### Consuming metadata
We intend to not be prescriptive as to _how_ the metadata and constraints are used, but as an example of how one might parse constraints from types annotations see our [implementation in `test_main.py`](https://github.com/annotated-types/annotated-types/blob/f59cf6d1b5255a0fe359b93896759a180bec30ae/tests/test_main.py#L94-L103).
It is up to the implementer to determine how this metadata is used.
You could use the metadata for runtime type checking, for generating schemas or to generate example data, amongst other use cases.
## Design & History
This package was designed at the PyCon 2022 sprints by the maintainers of Pydantic
and Hypothesis, with the goal of making it as easy as possible for end-users to
provide more informative annotations for use by runtime libraries.
It is deliberately minimal, and following PEP-593 allows considerable downstream
discretion in what (if anything!) they choose to support. Nonetheless, we expect
that staying simple and covering _only_ the most common use-cases will give users
and maintainers the best experience we can. If you'd like more constraints for your
types - follow our lead, by defining them and documenting them downstream!

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annotated_types-0.7.0.dist-info/licenses/LICENSE,sha256=_hBJiEsaDZNCkB6I4H8ykl0ksxIdmXK2poBfuYJLCV0,1083
annotated_types/__init__.py,sha256=RynLsRKUEGI0KimXydlD1fZEfEzWwDo0Uon3zOKhG1Q,13819
annotated_types/__pycache__/__init__.cpython-311.pyc,,
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annotated_types/py.typed,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
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Wheel-Version: 1.0
Generator: hatchling 1.24.2
Root-Is-Purelib: true
Tag: py3-none-any

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The MIT License (MIT)
Copyright (c) 2022 the contributors
Permission is hereby granted, free of charge, to any person obtaining a copy
of this software and associated documentation files (the "Software"), to deal
in the Software without restriction, including without limitation the rights
to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
copies of the Software, and to permit persons to whom the Software is
furnished to do so, subject to the following conditions:
The above copyright notice and this permission notice shall be included in all
copies or substantial portions of the Software.
THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
SOFTWARE.

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import math
import sys
import types
from dataclasses import dataclass
from datetime import tzinfo
from typing import TYPE_CHECKING, Any, Callable, Iterator, Optional, SupportsFloat, SupportsIndex, TypeVar, Union
if sys.version_info < (3, 8):
from typing_extensions import Protocol, runtime_checkable
else:
from typing import Protocol, runtime_checkable
if sys.version_info < (3, 9):
from typing_extensions import Annotated, Literal
else:
from typing import Annotated, Literal
if sys.version_info < (3, 10):
EllipsisType = type(Ellipsis)
KW_ONLY = {}
SLOTS = {}
else:
from types import EllipsisType
KW_ONLY = {"kw_only": True}
SLOTS = {"slots": True}
__all__ = (
'BaseMetadata',
'GroupedMetadata',
'Gt',
'Ge',
'Lt',
'Le',
'Interval',
'MultipleOf',
'MinLen',
'MaxLen',
'Len',
'Timezone',
'Predicate',
'LowerCase',
'UpperCase',
'IsDigits',
'IsFinite',
'IsNotFinite',
'IsNan',
'IsNotNan',
'IsInfinite',
'IsNotInfinite',
'doc',
'DocInfo',
'__version__',
)
__version__ = '0.7.0'
T = TypeVar('T')
# arguments that start with __ are considered
# positional only
# see https://peps.python.org/pep-0484/#positional-only-arguments
class SupportsGt(Protocol):
def __gt__(self: T, __other: T) -> bool:
...
class SupportsGe(Protocol):
def __ge__(self: T, __other: T) -> bool:
...
class SupportsLt(Protocol):
def __lt__(self: T, __other: T) -> bool:
...
class SupportsLe(Protocol):
def __le__(self: T, __other: T) -> bool:
...
class SupportsMod(Protocol):
def __mod__(self: T, __other: T) -> T:
...
class SupportsDiv(Protocol):
def __div__(self: T, __other: T) -> T:
...
class BaseMetadata:
"""Base class for all metadata.
This exists mainly so that implementers
can do `isinstance(..., BaseMetadata)` while traversing field annotations.
"""
__slots__ = ()
@dataclass(frozen=True, **SLOTS)
class Gt(BaseMetadata):
"""Gt(gt=x) implies that the value must be greater than x.
It can be used with any type that supports the ``>`` operator,
including numbers, dates and times, strings, sets, and so on.
"""
gt: SupportsGt
@dataclass(frozen=True, **SLOTS)
class Ge(BaseMetadata):
"""Ge(ge=x) implies that the value must be greater than or equal to x.
It can be used with any type that supports the ``>=`` operator,
including numbers, dates and times, strings, sets, and so on.
"""
ge: SupportsGe
@dataclass(frozen=True, **SLOTS)
class Lt(BaseMetadata):
"""Lt(lt=x) implies that the value must be less than x.
It can be used with any type that supports the ``<`` operator,
including numbers, dates and times, strings, sets, and so on.
"""
lt: SupportsLt
@dataclass(frozen=True, **SLOTS)
class Le(BaseMetadata):
"""Le(le=x) implies that the value must be less than or equal to x.
It can be used with any type that supports the ``<=`` operator,
including numbers, dates and times, strings, sets, and so on.
"""
le: SupportsLe
@runtime_checkable
class GroupedMetadata(Protocol):
"""A grouping of multiple objects, like typing.Unpack.
`GroupedMetadata` on its own is not metadata and has no meaning.
All of the constraints and metadata should be fully expressable
in terms of the `BaseMetadata`'s returned by `GroupedMetadata.__iter__()`.
Concrete implementations should override `GroupedMetadata.__iter__()`
to add their own metadata.
For example:
>>> @dataclass
>>> class Field(GroupedMetadata):
>>> gt: float | None = None
>>> description: str | None = None
...
>>> def __iter__(self) -> Iterable[object]:
>>> if self.gt is not None:
>>> yield Gt(self.gt)
>>> if self.description is not None:
>>> yield Description(self.gt)
Also see the implementation of `Interval` below for an example.
Parsers should recognize this and unpack it so that it can be used
both with and without unpacking:
- `Annotated[int, Field(...)]` (parser must unpack Field)
- `Annotated[int, *Field(...)]` (PEP-646)
""" # noqa: trailing-whitespace
@property
def __is_annotated_types_grouped_metadata__(self) -> Literal[True]:
return True
def __iter__(self) -> Iterator[object]:
...
if not TYPE_CHECKING:
__slots__ = () # allow subclasses to use slots
def __init_subclass__(cls, *args: Any, **kwargs: Any) -> None:
# Basic ABC like functionality without the complexity of an ABC
super().__init_subclass__(*args, **kwargs)
if cls.__iter__ is GroupedMetadata.__iter__:
raise TypeError("Can't subclass GroupedMetadata without implementing __iter__")
def __iter__(self) -> Iterator[object]: # noqa: F811
raise NotImplementedError # more helpful than "None has no attribute..." type errors
@dataclass(frozen=True, **KW_ONLY, **SLOTS)
class Interval(GroupedMetadata):
"""Interval can express inclusive or exclusive bounds with a single object.
It accepts keyword arguments ``gt``, ``ge``, ``lt``, and/or ``le``, which
are interpreted the same way as the single-bound constraints.
"""
gt: Union[SupportsGt, None] = None
ge: Union[SupportsGe, None] = None
lt: Union[SupportsLt, None] = None
le: Union[SupportsLe, None] = None
def __iter__(self) -> Iterator[BaseMetadata]:
"""Unpack an Interval into zero or more single-bounds."""
if self.gt is not None:
yield Gt(self.gt)
if self.ge is not None:
yield Ge(self.ge)
if self.lt is not None:
yield Lt(self.lt)
if self.le is not None:
yield Le(self.le)
@dataclass(frozen=True, **SLOTS)
class MultipleOf(BaseMetadata):
"""MultipleOf(multiple_of=x) might be interpreted in two ways:
1. Python semantics, implying ``value % multiple_of == 0``, or
2. JSONschema semantics, where ``int(value / multiple_of) == value / multiple_of``
We encourage users to be aware of these two common interpretations,
and libraries to carefully document which they implement.
"""
multiple_of: Union[SupportsDiv, SupportsMod]
@dataclass(frozen=True, **SLOTS)
class MinLen(BaseMetadata):
"""
MinLen() implies minimum inclusive length,
e.g. ``len(value) >= min_length``.
"""
min_length: Annotated[int, Ge(0)]
@dataclass(frozen=True, **SLOTS)
class MaxLen(BaseMetadata):
"""
MaxLen() implies maximum inclusive length,
e.g. ``len(value) <= max_length``.
"""
max_length: Annotated[int, Ge(0)]
@dataclass(frozen=True, **SLOTS)
class Len(GroupedMetadata):
"""
Len() implies that ``min_length <= len(value) <= max_length``.
Upper bound may be omitted or ``None`` to indicate no upper length bound.
"""
min_length: Annotated[int, Ge(0)] = 0
max_length: Optional[Annotated[int, Ge(0)]] = None
def __iter__(self) -> Iterator[BaseMetadata]:
"""Unpack a Len into zone or more single-bounds."""
if self.min_length > 0:
yield MinLen(self.min_length)
if self.max_length is not None:
yield MaxLen(self.max_length)
@dataclass(frozen=True, **SLOTS)
class Timezone(BaseMetadata):
"""Timezone(tz=...) requires a datetime to be aware (or ``tz=None``, naive).
``Annotated[datetime, Timezone(None)]`` must be a naive datetime.
``Timezone[...]`` (the ellipsis literal) expresses that the datetime must be
tz-aware but any timezone is allowed.
You may also pass a specific timezone string or tzinfo object such as
``Timezone(timezone.utc)`` or ``Timezone("Africa/Abidjan")`` to express that
you only allow a specific timezone, though we note that this is often
a symptom of poor design.
"""
tz: Union[str, tzinfo, EllipsisType, None]
@dataclass(frozen=True, **SLOTS)
class Unit(BaseMetadata):
"""Indicates that the value is a physical quantity with the specified unit.
It is intended for usage with numeric types, where the value represents the
magnitude of the quantity. For example, ``distance: Annotated[float, Unit('m')]``
or ``speed: Annotated[float, Unit('m/s')]``.
Interpretation of the unit string is left to the discretion of the consumer.
It is suggested to follow conventions established by python libraries that work
with physical quantities, such as
- ``pint`` : <https://pint.readthedocs.io/en/stable/>
- ``astropy.units``: <https://docs.astropy.org/en/stable/units/>
For indicating a quantity with a certain dimensionality but without a specific unit
it is recommended to use square brackets, e.g. `Annotated[float, Unit('[time]')]`.
Note, however, ``annotated_types`` itself makes no use of the unit string.
"""
unit: str
@dataclass(frozen=True, **SLOTS)
class Predicate(BaseMetadata):
"""``Predicate(func: Callable)`` implies `func(value)` is truthy for valid values.
Users should prefer statically inspectable metadata, but if you need the full
power and flexibility of arbitrary runtime predicates... here it is.
We provide a few predefined predicates for common string constraints:
``IsLower = Predicate(str.islower)``, ``IsUpper = Predicate(str.isupper)``, and
``IsDigits = Predicate(str.isdigit)``. Users are encouraged to use methods which
can be given special handling, and avoid indirection like ``lambda s: s.lower()``.
Some libraries might have special logic to handle certain predicates, e.g. by
checking for `str.isdigit` and using its presence to both call custom logic to
enforce digit-only strings, and customise some generated external schema.
We do not specify what behaviour should be expected for predicates that raise
an exception. For example `Annotated[int, Predicate(str.isdigit)]` might silently
skip invalid constraints, or statically raise an error; or it might try calling it
and then propagate or discard the resulting exception.
"""
func: Callable[[Any], bool]
def __repr__(self) -> str:
if getattr(self.func, "__name__", "<lambda>") == "<lambda>":
return f"{self.__class__.__name__}({self.func!r})"
if isinstance(self.func, (types.MethodType, types.BuiltinMethodType)) and (
namespace := getattr(self.func.__self__, "__name__", None)
):
return f"{self.__class__.__name__}({namespace}.{self.func.__name__})"
if isinstance(self.func, type(str.isascii)): # method descriptor
return f"{self.__class__.__name__}({self.func.__qualname__})"
return f"{self.__class__.__name__}({self.func.__name__})"
@dataclass
class Not:
func: Callable[[Any], bool]
def __call__(self, __v: Any) -> bool:
return not self.func(__v)
_StrType = TypeVar("_StrType", bound=str)
LowerCase = Annotated[_StrType, Predicate(str.islower)]
"""
Return True if the string is a lowercase string, False otherwise.
A string is lowercase if all cased characters in the string are lowercase and there is at least one cased character in the string.
""" # noqa: E501
UpperCase = Annotated[_StrType, Predicate(str.isupper)]
"""
Return True if the string is an uppercase string, False otherwise.
A string is uppercase if all cased characters in the string are uppercase and there is at least one cased character in the string.
""" # noqa: E501
IsDigit = Annotated[_StrType, Predicate(str.isdigit)]
IsDigits = IsDigit # type: ignore # plural for backwards compatibility, see #63
"""
Return True if the string is a digit string, False otherwise.
A string is a digit string if all characters in the string are digits and there is at least one character in the string.
""" # noqa: E501
IsAscii = Annotated[_StrType, Predicate(str.isascii)]
"""
Return True if all characters in the string are ASCII, False otherwise.
ASCII characters have code points in the range U+0000-U+007F. Empty string is ASCII too.
"""
_NumericType = TypeVar('_NumericType', bound=Union[SupportsFloat, SupportsIndex])
IsFinite = Annotated[_NumericType, Predicate(math.isfinite)]
"""Return True if x is neither an infinity nor a NaN, and False otherwise."""
IsNotFinite = Annotated[_NumericType, Predicate(Not(math.isfinite))]
"""Return True if x is one of infinity or NaN, and False otherwise"""
IsNan = Annotated[_NumericType, Predicate(math.isnan)]
"""Return True if x is a NaN (not a number), and False otherwise."""
IsNotNan = Annotated[_NumericType, Predicate(Not(math.isnan))]
"""Return True if x is anything but NaN (not a number), and False otherwise."""
IsInfinite = Annotated[_NumericType, Predicate(math.isinf)]
"""Return True if x is a positive or negative infinity, and False otherwise."""
IsNotInfinite = Annotated[_NumericType, Predicate(Not(math.isinf))]
"""Return True if x is neither a positive or negative infinity, and False otherwise."""
try:
from typing_extensions import DocInfo, doc # type: ignore [attr-defined]
except ImportError:
@dataclass(frozen=True, **SLOTS)
class DocInfo: # type: ignore [no-redef]
""" "
The return value of doc(), mainly to be used by tools that want to extract the
Annotated documentation at runtime.
"""
documentation: str
"""The documentation string passed to doc()."""
def doc(
documentation: str,
) -> DocInfo:
"""
Add documentation to a type annotation inside of Annotated.
For example:
>>> def hi(name: Annotated[int, doc("The name of the user")]) -> None: ...
"""
return DocInfo(documentation)

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import math
import sys
from datetime import date, datetime, timedelta, timezone
from decimal import Decimal
from typing import Any, Dict, Iterable, Iterator, List, NamedTuple, Set, Tuple
if sys.version_info < (3, 9):
from typing_extensions import Annotated
else:
from typing import Annotated
import annotated_types as at
class Case(NamedTuple):
"""
A test case for `annotated_types`.
"""
annotation: Any
valid_cases: Iterable[Any]
invalid_cases: Iterable[Any]
def cases() -> Iterable[Case]:
# Gt, Ge, Lt, Le
yield Case(Annotated[int, at.Gt(4)], (5, 6, 1000), (4, 0, -1))
yield Case(Annotated[float, at.Gt(0.5)], (0.6, 0.7, 0.8, 0.9), (0.5, 0.0, -0.1))
yield Case(
Annotated[datetime, at.Gt(datetime(2000, 1, 1))],
[datetime(2000, 1, 2), datetime(2000, 1, 3)],
[datetime(2000, 1, 1), datetime(1999, 12, 31)],
)
yield Case(
Annotated[datetime, at.Gt(date(2000, 1, 1))],
[date(2000, 1, 2), date(2000, 1, 3)],
[date(2000, 1, 1), date(1999, 12, 31)],
)
yield Case(
Annotated[datetime, at.Gt(Decimal('1.123'))],
[Decimal('1.1231'), Decimal('123')],
[Decimal('1.123'), Decimal('0')],
)
yield Case(Annotated[int, at.Ge(4)], (4, 5, 6, 1000, 4), (0, -1))
yield Case(Annotated[float, at.Ge(0.5)], (0.5, 0.6, 0.7, 0.8, 0.9), (0.4, 0.0, -0.1))
yield Case(
Annotated[datetime, at.Ge(datetime(2000, 1, 1))],
[datetime(2000, 1, 2), datetime(2000, 1, 3)],
[datetime(1998, 1, 1), datetime(1999, 12, 31)],
)
yield Case(Annotated[int, at.Lt(4)], (0, -1), (4, 5, 6, 1000, 4))
yield Case(Annotated[float, at.Lt(0.5)], (0.4, 0.0, -0.1), (0.5, 0.6, 0.7, 0.8, 0.9))
yield Case(
Annotated[datetime, at.Lt(datetime(2000, 1, 1))],
[datetime(1999, 12, 31), datetime(1999, 12, 31)],
[datetime(2000, 1, 2), datetime(2000, 1, 3)],
)
yield Case(Annotated[int, at.Le(4)], (4, 0, -1), (5, 6, 1000))
yield Case(Annotated[float, at.Le(0.5)], (0.5, 0.0, -0.1), (0.6, 0.7, 0.8, 0.9))
yield Case(
Annotated[datetime, at.Le(datetime(2000, 1, 1))],
[datetime(2000, 1, 1), datetime(1999, 12, 31)],
[datetime(2000, 1, 2), datetime(2000, 1, 3)],
)
# Interval
yield Case(Annotated[int, at.Interval(gt=4)], (5, 6, 1000), (4, 0, -1))
yield Case(Annotated[int, at.Interval(gt=4, lt=10)], (5, 6), (4, 10, 1000, 0, -1))
yield Case(Annotated[float, at.Interval(ge=0.5, le=1)], (0.5, 0.9, 1), (0.49, 1.1))
yield Case(
Annotated[datetime, at.Interval(gt=datetime(2000, 1, 1), le=datetime(2000, 1, 3))],
[datetime(2000, 1, 2), datetime(2000, 1, 3)],
[datetime(2000, 1, 1), datetime(2000, 1, 4)],
)
yield Case(Annotated[int, at.MultipleOf(multiple_of=3)], (0, 3, 9), (1, 2, 4))
yield Case(Annotated[float, at.MultipleOf(multiple_of=0.5)], (0, 0.5, 1, 1.5), (0.4, 1.1))
# lengths
yield Case(Annotated[str, at.MinLen(3)], ('123', '1234', 'x' * 10), ('', '1', '12'))
yield Case(Annotated[str, at.Len(3)], ('123', '1234', 'x' * 10), ('', '1', '12'))
yield Case(Annotated[List[int], at.MinLen(3)], ([1, 2, 3], [1, 2, 3, 4], [1] * 10), ([], [1], [1, 2]))
yield Case(Annotated[List[int], at.Len(3)], ([1, 2, 3], [1, 2, 3, 4], [1] * 10), ([], [1], [1, 2]))
yield Case(Annotated[str, at.MaxLen(4)], ('', '1234'), ('12345', 'x' * 10))
yield Case(Annotated[str, at.Len(0, 4)], ('', '1234'), ('12345', 'x' * 10))
yield Case(Annotated[List[str], at.MaxLen(4)], ([], ['a', 'bcdef'], ['a', 'b', 'c']), (['a'] * 5, ['b'] * 10))
yield Case(Annotated[List[str], at.Len(0, 4)], ([], ['a', 'bcdef'], ['a', 'b', 'c']), (['a'] * 5, ['b'] * 10))
yield Case(Annotated[str, at.Len(3, 5)], ('123', '12345'), ('', '1', '12', '123456', 'x' * 10))
yield Case(Annotated[str, at.Len(3, 3)], ('123',), ('12', '1234'))
yield Case(Annotated[Dict[int, int], at.Len(2, 3)], [{1: 1, 2: 2}], [{}, {1: 1}, {1: 1, 2: 2, 3: 3, 4: 4}])
yield Case(Annotated[Set[int], at.Len(2, 3)], ({1, 2}, {1, 2, 3}), (set(), {1}, {1, 2, 3, 4}))
yield Case(Annotated[Tuple[int, ...], at.Len(2, 3)], ((1, 2), (1, 2, 3)), ((), (1,), (1, 2, 3, 4)))
# Timezone
yield Case(
Annotated[datetime, at.Timezone(None)], [datetime(2000, 1, 1)], [datetime(2000, 1, 1, tzinfo=timezone.utc)]
)
yield Case(
Annotated[datetime, at.Timezone(...)], [datetime(2000, 1, 1, tzinfo=timezone.utc)], [datetime(2000, 1, 1)]
)
yield Case(
Annotated[datetime, at.Timezone(timezone.utc)],
[datetime(2000, 1, 1, tzinfo=timezone.utc)],
[datetime(2000, 1, 1), datetime(2000, 1, 1, tzinfo=timezone(timedelta(hours=6)))],
)
yield Case(
Annotated[datetime, at.Timezone('Europe/London')],
[datetime(2000, 1, 1, tzinfo=timezone(timedelta(0), name='Europe/London'))],
[datetime(2000, 1, 1), datetime(2000, 1, 1, tzinfo=timezone(timedelta(hours=6)))],
)
# Quantity
yield Case(Annotated[float, at.Unit(unit='m')], (5, 4.2), ('5m', '4.2m'))
# predicate types
yield Case(at.LowerCase[str], ['abc', 'foobar'], ['', 'A', 'Boom'])
yield Case(at.UpperCase[str], ['ABC', 'DEFO'], ['', 'a', 'abc', 'AbC'])
yield Case(at.IsDigit[str], ['123'], ['', 'ab', 'a1b2'])
yield Case(at.IsAscii[str], ['123', 'foo bar'], ['£100', '😊', 'whatever 👀'])
yield Case(Annotated[int, at.Predicate(lambda x: x % 2 == 0)], [0, 2, 4], [1, 3, 5])
yield Case(at.IsFinite[float], [1.23], [math.nan, math.inf, -math.inf])
yield Case(at.IsNotFinite[float], [math.nan, math.inf], [1.23])
yield Case(at.IsNan[float], [math.nan], [1.23, math.inf])
yield Case(at.IsNotNan[float], [1.23, math.inf], [math.nan])
yield Case(at.IsInfinite[float], [math.inf], [math.nan, 1.23])
yield Case(at.IsNotInfinite[float], [math.nan, 1.23], [math.inf])
# check stacked predicates
yield Case(at.IsInfinite[Annotated[float, at.Predicate(lambda x: x > 0)]], [math.inf], [-math.inf, 1.23, math.nan])
# doc
yield Case(Annotated[int, at.doc("A number")], [1, 2], [])
# custom GroupedMetadata
class MyCustomGroupedMetadata(at.GroupedMetadata):
def __iter__(self) -> Iterator[at.Predicate]:
yield at.Predicate(lambda x: float(x).is_integer())
yield Case(Annotated[float, MyCustomGroupedMetadata()], [0, 2.0], [0.01, 1.5])

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pip

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Metadata-Version: 2.4
Name: anyio
Version: 4.12.1
Summary: High-level concurrency and networking framework on top of asyncio or Trio
Author-email: Alex Grönholm <alex.gronholm@nextday.fi>
License-Expression: MIT
Project-URL: Documentation, https://anyio.readthedocs.io/en/latest/
Project-URL: Changelog, https://anyio.readthedocs.io/en/stable/versionhistory.html
Project-URL: Source code, https://github.com/agronholm/anyio
Project-URL: Issue tracker, https://github.com/agronholm/anyio/issues
Classifier: Development Status :: 5 - Production/Stable
Classifier: Intended Audience :: Developers
Classifier: Framework :: AnyIO
Classifier: Typing :: Typed
Classifier: Programming Language :: Python
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.9
Classifier: Programming Language :: Python :: 3.10
Classifier: Programming Language :: Python :: 3.11
Classifier: Programming Language :: Python :: 3.12
Classifier: Programming Language :: Python :: 3.13
Classifier: Programming Language :: Python :: 3.14
Requires-Python: >=3.9
Description-Content-Type: text/x-rst
License-File: LICENSE
Requires-Dist: exceptiongroup>=1.0.2; python_version < "3.11"
Requires-Dist: idna>=2.8
Requires-Dist: typing_extensions>=4.5; python_version < "3.13"
Provides-Extra: trio
Requires-Dist: trio>=0.32.0; python_version >= "3.10" and extra == "trio"
Requires-Dist: trio>=0.31.0; python_version < "3.10" and extra == "trio"
Dynamic: license-file
.. image:: https://github.com/agronholm/anyio/actions/workflows/test.yml/badge.svg
:target: https://github.com/agronholm/anyio/actions/workflows/test.yml
:alt: Build Status
.. image:: https://coveralls.io/repos/github/agronholm/anyio/badge.svg?branch=master
:target: https://coveralls.io/github/agronholm/anyio?branch=master
:alt: Code Coverage
.. image:: https://readthedocs.org/projects/anyio/badge/?version=latest
:target: https://anyio.readthedocs.io/en/latest/?badge=latest
:alt: Documentation
.. image:: https://badges.gitter.im/gitterHQ/gitter.svg
:target: https://gitter.im/python-trio/AnyIO
:alt: Gitter chat
AnyIO is an asynchronous networking and concurrency library that works on top of either asyncio_ or
Trio_. It implements Trio-like `structured concurrency`_ (SC) on top of asyncio and works in harmony
with the native SC of Trio itself.
Applications and libraries written against AnyIO's API will run unmodified on either asyncio_ or
Trio_. AnyIO can also be adopted into a library or application incrementally bit by bit, no full
refactoring necessary. It will blend in with the native libraries of your chosen backend.
To find out why you might want to use AnyIO's APIs instead of asyncio's, you can read about it
`here <https://anyio.readthedocs.io/en/stable/why.html>`_.
Documentation
-------------
View full documentation at: https://anyio.readthedocs.io/
Features
--------
AnyIO offers the following functionality:
* Task groups (nurseries_ in trio terminology)
* High-level networking (TCP, UDP and UNIX sockets)
* `Happy eyeballs`_ algorithm for TCP connections (more robust than that of asyncio on Python
3.8)
* async/await style UDP sockets (unlike asyncio where you still have to use Transports and
Protocols)
* A versatile API for byte streams and object streams
* Inter-task synchronization and communication (locks, conditions, events, semaphores, object
streams)
* Worker threads
* Subprocesses
* Subinterpreter support for code parallelization (on Python 3.13 and later)
* Asynchronous file I/O (using worker threads)
* Signal handling
* Asynchronous version of the functools_ module
AnyIO also comes with its own pytest_ plugin which also supports asynchronous fixtures.
It even works with the popular Hypothesis_ library.
.. _asyncio: https://docs.python.org/3/library/asyncio.html
.. _Trio: https://github.com/python-trio/trio
.. _structured concurrency: https://en.wikipedia.org/wiki/Structured_concurrency
.. _nurseries: https://trio.readthedocs.io/en/stable/reference-core.html#nurseries-and-spawning
.. _Happy eyeballs: https://en.wikipedia.org/wiki/Happy_Eyeballs
.. _pytest: https://docs.pytest.org/en/latest/
.. _functools: https://docs.python.org/3/library/functools.html
.. _Hypothesis: https://hypothesis.works/

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Wheel-Version: 1.0
Generator: setuptools (80.9.0)
Root-Is-Purelib: true
Tag: py3-none-any

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[pytest11]
anyio = anyio.pytest_plugin

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The MIT License (MIT)
Copyright (c) 2018 Alex Grönholm
Permission is hereby granted, free of charge, to any person obtaining a copy of
this software and associated documentation files (the "Software"), to deal in
the Software without restriction, including without limitation the rights to
use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of
the Software, and to permit persons to whom the Software is furnished to do so,
subject to the following conditions:
The above copyright notice and this permission notice shall be included in all
copies or substantial portions of the Software.
THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS
FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR
COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER
IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN
CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE.

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anyio

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from __future__ import annotations
from ._core._contextmanagers import AsyncContextManagerMixin as AsyncContextManagerMixin
from ._core._contextmanagers import ContextManagerMixin as ContextManagerMixin
from ._core._eventloop import current_time as current_time
from ._core._eventloop import get_all_backends as get_all_backends
from ._core._eventloop import get_available_backends as get_available_backends
from ._core._eventloop import get_cancelled_exc_class as get_cancelled_exc_class
from ._core._eventloop import run as run
from ._core._eventloop import sleep as sleep
from ._core._eventloop import sleep_forever as sleep_forever
from ._core._eventloop import sleep_until as sleep_until
from ._core._exceptions import BrokenResourceError as BrokenResourceError
from ._core._exceptions import BrokenWorkerInterpreter as BrokenWorkerInterpreter
from ._core._exceptions import BrokenWorkerProcess as BrokenWorkerProcess
from ._core._exceptions import BusyResourceError as BusyResourceError
from ._core._exceptions import ClosedResourceError as ClosedResourceError
from ._core._exceptions import ConnectionFailed as ConnectionFailed
from ._core._exceptions import DelimiterNotFound as DelimiterNotFound
from ._core._exceptions import EndOfStream as EndOfStream
from ._core._exceptions import IncompleteRead as IncompleteRead
from ._core._exceptions import NoEventLoopError as NoEventLoopError
from ._core._exceptions import RunFinishedError as RunFinishedError
from ._core._exceptions import TypedAttributeLookupError as TypedAttributeLookupError
from ._core._exceptions import WouldBlock as WouldBlock
from ._core._fileio import AsyncFile as AsyncFile
from ._core._fileio import Path as Path
from ._core._fileio import open_file as open_file
from ._core._fileio import wrap_file as wrap_file
from ._core._resources import aclose_forcefully as aclose_forcefully
from ._core._signals import open_signal_receiver as open_signal_receiver
from ._core._sockets import TCPConnectable as TCPConnectable
from ._core._sockets import UNIXConnectable as UNIXConnectable
from ._core._sockets import as_connectable as as_connectable
from ._core._sockets import connect_tcp as connect_tcp
from ._core._sockets import connect_unix as connect_unix
from ._core._sockets import create_connected_udp_socket as create_connected_udp_socket
from ._core._sockets import (
create_connected_unix_datagram_socket as create_connected_unix_datagram_socket,
)
from ._core._sockets import create_tcp_listener as create_tcp_listener
from ._core._sockets import create_udp_socket as create_udp_socket
from ._core._sockets import create_unix_datagram_socket as create_unix_datagram_socket
from ._core._sockets import create_unix_listener as create_unix_listener
from ._core._sockets import getaddrinfo as getaddrinfo
from ._core._sockets import getnameinfo as getnameinfo
from ._core._sockets import notify_closing as notify_closing
from ._core._sockets import wait_readable as wait_readable
from ._core._sockets import wait_socket_readable as wait_socket_readable
from ._core._sockets import wait_socket_writable as wait_socket_writable
from ._core._sockets import wait_writable as wait_writable
from ._core._streams import create_memory_object_stream as create_memory_object_stream
from ._core._subprocesses import open_process as open_process
from ._core._subprocesses import run_process as run_process
from ._core._synchronization import CapacityLimiter as CapacityLimiter
from ._core._synchronization import (
CapacityLimiterStatistics as CapacityLimiterStatistics,
)
from ._core._synchronization import Condition as Condition
from ._core._synchronization import ConditionStatistics as ConditionStatistics
from ._core._synchronization import Event as Event
from ._core._synchronization import EventStatistics as EventStatistics
from ._core._synchronization import Lock as Lock
from ._core._synchronization import LockStatistics as LockStatistics
from ._core._synchronization import ResourceGuard as ResourceGuard
from ._core._synchronization import Semaphore as Semaphore
from ._core._synchronization import SemaphoreStatistics as SemaphoreStatistics
from ._core._tasks import TASK_STATUS_IGNORED as TASK_STATUS_IGNORED
from ._core._tasks import CancelScope as CancelScope
from ._core._tasks import create_task_group as create_task_group
from ._core._tasks import current_effective_deadline as current_effective_deadline
from ._core._tasks import fail_after as fail_after
from ._core._tasks import move_on_after as move_on_after
from ._core._tempfile import NamedTemporaryFile as NamedTemporaryFile
from ._core._tempfile import SpooledTemporaryFile as SpooledTemporaryFile
from ._core._tempfile import TemporaryDirectory as TemporaryDirectory
from ._core._tempfile import TemporaryFile as TemporaryFile
from ._core._tempfile import gettempdir as gettempdir
from ._core._tempfile import gettempdirb as gettempdirb
from ._core._tempfile import mkdtemp as mkdtemp
from ._core._tempfile import mkstemp as mkstemp
from ._core._testing import TaskInfo as TaskInfo
from ._core._testing import get_current_task as get_current_task
from ._core._testing import get_running_tasks as get_running_tasks
from ._core._testing import wait_all_tasks_blocked as wait_all_tasks_blocked
from ._core._typedattr import TypedAttributeProvider as TypedAttributeProvider
from ._core._typedattr import TypedAttributeSet as TypedAttributeSet
from ._core._typedattr import typed_attribute as typed_attribute
# Re-export imports so they look like they live directly in this package
for __value in list(locals().values()):
if getattr(__value, "__module__", "").startswith("anyio."):
__value.__module__ = __name__
del __value
def __getattr__(attr: str) -> type[BrokenWorkerInterpreter]:
"""Support deprecated aliases."""
if attr == "BrokenWorkerIntepreter":
import warnings
warnings.warn(
"The 'BrokenWorkerIntepreter' alias is deprecated, use 'BrokenWorkerInterpreter' instead.",
DeprecationWarning,
stacklevel=2,
)
return BrokenWorkerInterpreter
raise AttributeError(f"module {__name__!r} has no attribute {attr!r}")

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from __future__ import annotations
import asyncio
import socket
import threading
from collections.abc import Callable
from selectors import EVENT_READ, EVENT_WRITE, DefaultSelector
from typing import TYPE_CHECKING, Any
if TYPE_CHECKING:
from _typeshed import FileDescriptorLike
_selector_lock = threading.Lock()
_selector: Selector | None = None
class Selector:
def __init__(self) -> None:
self._thread = threading.Thread(target=self.run, name="AnyIO socket selector")
self._selector = DefaultSelector()
self._send, self._receive = socket.socketpair()
self._send.setblocking(False)
self._receive.setblocking(False)
# This somewhat reduces the amount of memory wasted queueing up data
# for wakeups. With these settings, maximum number of 1-byte sends
# before getting BlockingIOError:
# Linux 4.8: 6
# macOS (darwin 15.5): 1
# Windows 10: 525347
# Windows you're weird. (And on Windows setting SNDBUF to 0 makes send
# blocking, even on non-blocking sockets, so don't do that.)
self._receive.setsockopt(socket.SOL_SOCKET, socket.SO_RCVBUF, 1)
self._send.setsockopt(socket.SOL_SOCKET, socket.SO_SNDBUF, 1)
# On Windows this is a TCP socket so this might matter. On other
# platforms this fails b/c AF_UNIX sockets aren't actually TCP.
try:
self._send.setsockopt(socket.IPPROTO_TCP, socket.TCP_NODELAY, 1)
except OSError:
pass
self._selector.register(self._receive, EVENT_READ)
self._closed = False
def start(self) -> None:
self._thread.start()
threading._register_atexit(self._stop) # type: ignore[attr-defined]
def _stop(self) -> None:
global _selector
self._closed = True
self._notify_self()
self._send.close()
self._thread.join()
self._selector.unregister(self._receive)
self._receive.close()
self._selector.close()
_selector = None
assert not self._selector.get_map(), (
"selector still has registered file descriptors after shutdown"
)
def _notify_self(self) -> None:
try:
self._send.send(b"\x00")
except BlockingIOError:
pass
def add_reader(self, fd: FileDescriptorLike, callback: Callable[[], Any]) -> None:
loop = asyncio.get_running_loop()
try:
key = self._selector.get_key(fd)
except KeyError:
self._selector.register(fd, EVENT_READ, {EVENT_READ: (loop, callback)})
else:
if EVENT_READ in key.data:
raise ValueError(
"this file descriptor is already registered for reading"
)
key.data[EVENT_READ] = loop, callback
self._selector.modify(fd, key.events | EVENT_READ, key.data)
self._notify_self()
def add_writer(self, fd: FileDescriptorLike, callback: Callable[[], Any]) -> None:
loop = asyncio.get_running_loop()
try:
key = self._selector.get_key(fd)
except KeyError:
self._selector.register(fd, EVENT_WRITE, {EVENT_WRITE: (loop, callback)})
else:
if EVENT_WRITE in key.data:
raise ValueError(
"this file descriptor is already registered for writing"
)
key.data[EVENT_WRITE] = loop, callback
self._selector.modify(fd, key.events | EVENT_WRITE, key.data)
self._notify_self()
def remove_reader(self, fd: FileDescriptorLike) -> bool:
try:
key = self._selector.get_key(fd)
except KeyError:
return False
if new_events := key.events ^ EVENT_READ:
del key.data[EVENT_READ]
self._selector.modify(fd, new_events, key.data)
else:
self._selector.unregister(fd)
return True
def remove_writer(self, fd: FileDescriptorLike) -> bool:
try:
key = self._selector.get_key(fd)
except KeyError:
return False
if new_events := key.events ^ EVENT_WRITE:
del key.data[EVENT_WRITE]
self._selector.modify(fd, new_events, key.data)
else:
self._selector.unregister(fd)
return True
def run(self) -> None:
while not self._closed:
for key, events in self._selector.select():
if key.fileobj is self._receive:
try:
while self._receive.recv(4096):
pass
except BlockingIOError:
pass
continue
if events & EVENT_READ:
loop, callback = key.data[EVENT_READ]
self.remove_reader(key.fd)
try:
loop.call_soon_threadsafe(callback)
except RuntimeError:
pass # the loop was already closed
if events & EVENT_WRITE:
loop, callback = key.data[EVENT_WRITE]
self.remove_writer(key.fd)
try:
loop.call_soon_threadsafe(callback)
except RuntimeError:
pass # the loop was already closed
def get_selector() -> Selector:
global _selector
with _selector_lock:
if _selector is None:
_selector = Selector()
_selector.start()
return _selector

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from __future__ import annotations
from abc import abstractmethod
from contextlib import AbstractAsyncContextManager, AbstractContextManager
from inspect import isasyncgen, iscoroutine, isgenerator
from types import TracebackType
from typing import Protocol, TypeVar, cast, final
_T_co = TypeVar("_T_co", covariant=True)
_ExitT_co = TypeVar("_ExitT_co", covariant=True, bound="bool | None")
class _SupportsCtxMgr(Protocol[_T_co, _ExitT_co]):
def __contextmanager__(self) -> AbstractContextManager[_T_co, _ExitT_co]: ...
class _SupportsAsyncCtxMgr(Protocol[_T_co, _ExitT_co]):
def __asynccontextmanager__(
self,
) -> AbstractAsyncContextManager[_T_co, _ExitT_co]: ...
class ContextManagerMixin:
"""
Mixin class providing context manager functionality via a generator-based
implementation.
This class allows you to implement a context manager via :meth:`__contextmanager__`
which should return a generator. The mechanics are meant to mirror those of
:func:`@contextmanager <contextlib.contextmanager>`.
.. note:: Classes using this mix-in are not reentrant as context managers, meaning
that once you enter it, you can't re-enter before first exiting it.
.. seealso:: :doc:`contextmanagers`
"""
__cm: AbstractContextManager[object, bool | None] | None = None
@final
def __enter__(self: _SupportsCtxMgr[_T_co, bool | None]) -> _T_co:
# Needed for mypy to assume self still has the __cm member
assert isinstance(self, ContextManagerMixin)
if self.__cm is not None:
raise RuntimeError(
f"this {self.__class__.__qualname__} has already been entered"
)
cm = self.__contextmanager__()
if not isinstance(cm, AbstractContextManager):
if isgenerator(cm):
raise TypeError(
"__contextmanager__() returned a generator object instead of "
"a context manager. Did you forget to add the @contextmanager "
"decorator?"
)
raise TypeError(
f"__contextmanager__() did not return a context manager object, "
f"but {cm.__class__!r}"
)
if cm is self:
raise TypeError(
f"{self.__class__.__qualname__}.__contextmanager__() returned "
f"self. Did you forget to add the @contextmanager decorator and a "
f"'yield' statement?"
)
value = cm.__enter__()
self.__cm = cm
return value
@final
def __exit__(
self: _SupportsCtxMgr[object, _ExitT_co],
exc_type: type[BaseException] | None,
exc_val: BaseException | None,
exc_tb: TracebackType | None,
) -> _ExitT_co:
# Needed for mypy to assume self still has the __cm member
assert isinstance(self, ContextManagerMixin)
if self.__cm is None:
raise RuntimeError(
f"this {self.__class__.__qualname__} has not been entered yet"
)
# Prevent circular references
cm = self.__cm
del self.__cm
return cast(_ExitT_co, cm.__exit__(exc_type, exc_val, exc_tb))
@abstractmethod
def __contextmanager__(self) -> AbstractContextManager[object, bool | None]:
"""
Implement your context manager logic here.
This method **must** be decorated with
:func:`@contextmanager <contextlib.contextmanager>`.
.. note:: Remember that the ``yield`` will raise any exception raised in the
enclosed context block, so use a ``finally:`` block to clean up resources!
:return: a context manager object
"""
class AsyncContextManagerMixin:
"""
Mixin class providing async context manager functionality via a generator-based
implementation.
This class allows you to implement a context manager via
:meth:`__asynccontextmanager__`. The mechanics are meant to mirror those of
:func:`@asynccontextmanager <contextlib.asynccontextmanager>`.
.. note:: Classes using this mix-in are not reentrant as context managers, meaning
that once you enter it, you can't re-enter before first exiting it.
.. seealso:: :doc:`contextmanagers`
"""
__cm: AbstractAsyncContextManager[object, bool | None] | None = None
@final
async def __aenter__(self: _SupportsAsyncCtxMgr[_T_co, bool | None]) -> _T_co:
# Needed for mypy to assume self still has the __cm member
assert isinstance(self, AsyncContextManagerMixin)
if self.__cm is not None:
raise RuntimeError(
f"this {self.__class__.__qualname__} has already been entered"
)
cm = self.__asynccontextmanager__()
if not isinstance(cm, AbstractAsyncContextManager):
if isasyncgen(cm):
raise TypeError(
"__asynccontextmanager__() returned an async generator instead of "
"an async context manager. Did you forget to add the "
"@asynccontextmanager decorator?"
)
elif iscoroutine(cm):
cm.close()
raise TypeError(
"__asynccontextmanager__() returned a coroutine object instead of "
"an async context manager. Did you forget to add the "
"@asynccontextmanager decorator and a 'yield' statement?"
)
raise TypeError(
f"__asynccontextmanager__() did not return an async context manager, "
f"but {cm.__class__!r}"
)
if cm is self:
raise TypeError(
f"{self.__class__.__qualname__}.__asynccontextmanager__() returned "
f"self. Did you forget to add the @asynccontextmanager decorator and a "
f"'yield' statement?"
)
value = await cm.__aenter__()
self.__cm = cm
return value
@final
async def __aexit__(
self: _SupportsAsyncCtxMgr[object, _ExitT_co],
exc_type: type[BaseException] | None,
exc_val: BaseException | None,
exc_tb: TracebackType | None,
) -> _ExitT_co:
assert isinstance(self, AsyncContextManagerMixin)
if self.__cm is None:
raise RuntimeError(
f"this {self.__class__.__qualname__} has not been entered yet"
)
# Prevent circular references
cm = self.__cm
del self.__cm
return cast(_ExitT_co, await cm.__aexit__(exc_type, exc_val, exc_tb))
@abstractmethod
def __asynccontextmanager__(
self,
) -> AbstractAsyncContextManager[object, bool | None]:
"""
Implement your async context manager logic here.
This method **must** be decorated with
:func:`@asynccontextmanager <contextlib.asynccontextmanager>`.
.. note:: Remember that the ``yield`` will raise any exception raised in the
enclosed context block, so use a ``finally:`` block to clean up resources!
:return: an async context manager object
"""

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from __future__ import annotations
import math
import sys
import threading
from collections.abc import Awaitable, Callable, Generator
from contextlib import contextmanager
from contextvars import Token
from importlib import import_module
from typing import TYPE_CHECKING, Any, TypeVar
from ._exceptions import NoEventLoopError
if sys.version_info >= (3, 11):
from typing import TypeVarTuple, Unpack
else:
from typing_extensions import TypeVarTuple, Unpack
sniffio: Any
try:
import sniffio
except ModuleNotFoundError:
sniffio = None
if TYPE_CHECKING:
from ..abc import AsyncBackend
# This must be updated when new backends are introduced
BACKENDS = "asyncio", "trio"
T_Retval = TypeVar("T_Retval")
PosArgsT = TypeVarTuple("PosArgsT")
threadlocals = threading.local()
loaded_backends: dict[str, type[AsyncBackend]] = {}
def run(
func: Callable[[Unpack[PosArgsT]], Awaitable[T_Retval]],
*args: Unpack[PosArgsT],
backend: str = "asyncio",
backend_options: dict[str, Any] | None = None,
) -> T_Retval:
"""
Run the given coroutine function in an asynchronous event loop.
The current thread must not be already running an event loop.
:param func: a coroutine function
:param args: positional arguments to ``func``
:param backend: name of the asynchronous event loop implementation currently
either ``asyncio`` or ``trio``
:param backend_options: keyword arguments to call the backend ``run()``
implementation with (documented :ref:`here <backend options>`)
:return: the return value of the coroutine function
:raises RuntimeError: if an asynchronous event loop is already running in this
thread
:raises LookupError: if the named backend is not found
"""
if asynclib_name := current_async_library():
raise RuntimeError(f"Already running {asynclib_name} in this thread")
try:
async_backend = get_async_backend(backend)
except ImportError as exc:
raise LookupError(f"No such backend: {backend}") from exc
token = None
if asynclib_name is None:
# Since we're in control of the event loop, we can cache the name of the async
# library
token = set_current_async_library(backend)
try:
backend_options = backend_options or {}
return async_backend.run(func, args, {}, backend_options)
finally:
reset_current_async_library(token)
async def sleep(delay: float) -> None:
"""
Pause the current task for the specified duration.
:param delay: the duration, in seconds
"""
return await get_async_backend().sleep(delay)
async def sleep_forever() -> None:
"""
Pause the current task until it's cancelled.
This is a shortcut for ``sleep(math.inf)``.
.. versionadded:: 3.1
"""
await sleep(math.inf)
async def sleep_until(deadline: float) -> None:
"""
Pause the current task until the given time.
:param deadline: the absolute time to wake up at (according to the internal
monotonic clock of the event loop)
.. versionadded:: 3.1
"""
now = current_time()
await sleep(max(deadline - now, 0))
def current_time() -> float:
"""
Return the current value of the event loop's internal clock.
:return: the clock value (seconds)
:raises NoEventLoopError: if no supported asynchronous event loop is running in the
current thread
"""
return get_async_backend().current_time()
def get_all_backends() -> tuple[str, ...]:
"""Return a tuple of the names of all built-in backends."""
return BACKENDS
def get_available_backends() -> tuple[str, ...]:
"""
Test for the availability of built-in backends.
:return a tuple of the built-in backend names that were successfully imported
.. versionadded:: 4.12
"""
available_backends: list[str] = []
for backend_name in get_all_backends():
try:
get_async_backend(backend_name)
except ImportError:
continue
available_backends.append(backend_name)
return tuple(available_backends)
def get_cancelled_exc_class() -> type[BaseException]:
"""
Return the current async library's cancellation exception class.
:raises NoEventLoopError: if no supported asynchronous event loop is running in the
current thread
"""
return get_async_backend().cancelled_exception_class()
#
# Private API
#
@contextmanager
def claim_worker_thread(
backend_class: type[AsyncBackend], token: object
) -> Generator[Any, None, None]:
from ..lowlevel import EventLoopToken
threadlocals.current_token = EventLoopToken(backend_class, token)
try:
yield
finally:
del threadlocals.current_token
def get_async_backend(asynclib_name: str | None = None) -> type[AsyncBackend]:
if asynclib_name is None:
asynclib_name = current_async_library()
if not asynclib_name:
raise NoEventLoopError(
f"Not currently running on any asynchronous event loop. "
f"Available async backends: {', '.join(get_all_backends())}"
)
# We use our own dict instead of sys.modules to get the already imported back-end
# class because the appropriate modules in sys.modules could potentially be only
# partially initialized
try:
return loaded_backends[asynclib_name]
except KeyError:
module = import_module(f"anyio._backends._{asynclib_name}")
loaded_backends[asynclib_name] = module.backend_class
return module.backend_class
def current_async_library() -> str | None:
if sniffio is None:
# If sniffio is not installed, we assume we're either running asyncio or nothing
import asyncio
try:
asyncio.get_running_loop()
return "asyncio"
except RuntimeError:
pass
else:
try:
return sniffio.current_async_library()
except sniffio.AsyncLibraryNotFoundError:
pass
return None
def set_current_async_library(asynclib_name: str | None) -> Token | None:
# no-op if sniffio is not installed
if sniffio is None:
return None
return sniffio.current_async_library_cvar.set(asynclib_name)
def reset_current_async_library(token: Token | None) -> None:
if token is not None:
sniffio.current_async_library_cvar.reset(token)

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from __future__ import annotations
import sys
from collections.abc import Generator
from textwrap import dedent
from typing import Any
if sys.version_info < (3, 11):
from exceptiongroup import BaseExceptionGroup
class BrokenResourceError(Exception):
"""
Raised when trying to use a resource that has been rendered unusable due to external
causes (e.g. a send stream whose peer has disconnected).
"""
class BrokenWorkerProcess(Exception):
"""
Raised by :meth:`~anyio.to_process.run_sync` if the worker process terminates abruptly or
otherwise misbehaves.
"""
class BrokenWorkerInterpreter(Exception):
"""
Raised by :meth:`~anyio.to_interpreter.run_sync` if an unexpected exception is
raised in the subinterpreter.
"""
def __init__(self, excinfo: Any):
# This was adapted from concurrent.futures.interpreter.ExecutionFailed
msg = excinfo.formatted
if not msg:
if excinfo.type and excinfo.msg:
msg = f"{excinfo.type.__name__}: {excinfo.msg}"
else:
msg = excinfo.type.__name__ or excinfo.msg
super().__init__(msg)
self.excinfo = excinfo
def __str__(self) -> str:
try:
formatted = self.excinfo.errdisplay
except Exception:
return super().__str__()
else:
return dedent(
f"""
{super().__str__()}
Uncaught in the interpreter:
{formatted}
""".strip()
)
class BusyResourceError(Exception):
"""
Raised when two tasks are trying to read from or write to the same resource
concurrently.
"""
def __init__(self, action: str):
super().__init__(f"Another task is already {action} this resource")
class ClosedResourceError(Exception):
"""Raised when trying to use a resource that has been closed."""
class ConnectionFailed(OSError):
"""
Raised when a connection attempt fails.
.. note:: This class inherits from :exc:`OSError` for backwards compatibility.
"""
def iterate_exceptions(
exception: BaseException,
) -> Generator[BaseException, None, None]:
if isinstance(exception, BaseExceptionGroup):
for exc in exception.exceptions:
yield from iterate_exceptions(exc)
else:
yield exception
class DelimiterNotFound(Exception):
"""
Raised during
:meth:`~anyio.streams.buffered.BufferedByteReceiveStream.receive_until` if the
maximum number of bytes has been read without the delimiter being found.
"""
def __init__(self, max_bytes: int) -> None:
super().__init__(
f"The delimiter was not found among the first {max_bytes} bytes"
)
class EndOfStream(Exception):
"""
Raised when trying to read from a stream that has been closed from the other end.
"""
class IncompleteRead(Exception):
"""
Raised during
:meth:`~anyio.streams.buffered.BufferedByteReceiveStream.receive_exactly` or
:meth:`~anyio.streams.buffered.BufferedByteReceiveStream.receive_until` if the
connection is closed before the requested amount of bytes has been read.
"""
def __init__(self) -> None:
super().__init__(
"The stream was closed before the read operation could be completed"
)
class TypedAttributeLookupError(LookupError):
"""
Raised by :meth:`~anyio.TypedAttributeProvider.extra` when the given typed attribute
is not found and no default value has been given.
"""
class WouldBlock(Exception):
"""Raised by ``X_nowait`` functions if ``X()`` would block."""
class NoEventLoopError(RuntimeError):
"""
Raised by several functions that require an event loop to be running in the current
thread when there is no running event loop.
This is also raised by :func:`.from_thread.run` and :func:`.from_thread.run_sync`
if not calling from an AnyIO worker thread, and no ``token`` was passed.
"""
class RunFinishedError(RuntimeError):
"""
Raised by :func:`.from_thread.run` and :func:`.from_thread.run_sync` if the event
loop associated with the explicitly passed token has already finished.
"""
def __init__(self) -> None:
super().__init__(
"The event loop associated with the given token has already finished"
)

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from __future__ import annotations
import os
import pathlib
import sys
from collections.abc import (
AsyncIterator,
Callable,
Iterable,
Iterator,
Sequence,
)
from dataclasses import dataclass
from functools import partial
from os import PathLike
from typing import (
IO,
TYPE_CHECKING,
Any,
AnyStr,
ClassVar,
Final,
Generic,
overload,
)
from .. import to_thread
from ..abc import AsyncResource
if TYPE_CHECKING:
from types import ModuleType
from _typeshed import OpenBinaryMode, OpenTextMode, ReadableBuffer, WriteableBuffer
else:
ReadableBuffer = OpenBinaryMode = OpenTextMode = WriteableBuffer = object
class AsyncFile(AsyncResource, Generic[AnyStr]):
"""
An asynchronous file object.
This class wraps a standard file object and provides async friendly versions of the
following blocking methods (where available on the original file object):
* read
* read1
* readline
* readlines
* readinto
* readinto1
* write
* writelines
* truncate
* seek
* tell
* flush
All other methods are directly passed through.
This class supports the asynchronous context manager protocol which closes the
underlying file at the end of the context block.
This class also supports asynchronous iteration::
async with await open_file(...) as f:
async for line in f:
print(line)
"""
def __init__(self, fp: IO[AnyStr]) -> None:
self._fp: Any = fp
def __getattr__(self, name: str) -> object:
return getattr(self._fp, name)
@property
def wrapped(self) -> IO[AnyStr]:
"""The wrapped file object."""
return self._fp
async def __aiter__(self) -> AsyncIterator[AnyStr]:
while True:
line = await self.readline()
if line:
yield line
else:
break
async def aclose(self) -> None:
return await to_thread.run_sync(self._fp.close)
async def read(self, size: int = -1) -> AnyStr:
return await to_thread.run_sync(self._fp.read, size)
async def read1(self: AsyncFile[bytes], size: int = -1) -> bytes:
return await to_thread.run_sync(self._fp.read1, size)
async def readline(self) -> AnyStr:
return await to_thread.run_sync(self._fp.readline)
async def readlines(self) -> list[AnyStr]:
return await to_thread.run_sync(self._fp.readlines)
async def readinto(self: AsyncFile[bytes], b: WriteableBuffer) -> int:
return await to_thread.run_sync(self._fp.readinto, b)
async def readinto1(self: AsyncFile[bytes], b: WriteableBuffer) -> int:
return await to_thread.run_sync(self._fp.readinto1, b)
@overload
async def write(self: AsyncFile[bytes], b: ReadableBuffer) -> int: ...
@overload
async def write(self: AsyncFile[str], b: str) -> int: ...
async def write(self, b: ReadableBuffer | str) -> int:
return await to_thread.run_sync(self._fp.write, b)
@overload
async def writelines(
self: AsyncFile[bytes], lines: Iterable[ReadableBuffer]
) -> None: ...
@overload
async def writelines(self: AsyncFile[str], lines: Iterable[str]) -> None: ...
async def writelines(self, lines: Iterable[ReadableBuffer] | Iterable[str]) -> None:
return await to_thread.run_sync(self._fp.writelines, lines)
async def truncate(self, size: int | None = None) -> int:
return await to_thread.run_sync(self._fp.truncate, size)
async def seek(self, offset: int, whence: int | None = os.SEEK_SET) -> int:
return await to_thread.run_sync(self._fp.seek, offset, whence)
async def tell(self) -> int:
return await to_thread.run_sync(self._fp.tell)
async def flush(self) -> None:
return await to_thread.run_sync(self._fp.flush)
@overload
async def open_file(
file: str | PathLike[str] | int,
mode: OpenBinaryMode,
buffering: int = ...,
encoding: str | None = ...,
errors: str | None = ...,
newline: str | None = ...,
closefd: bool = ...,
opener: Callable[[str, int], int] | None = ...,
) -> AsyncFile[bytes]: ...
@overload
async def open_file(
file: str | PathLike[str] | int,
mode: OpenTextMode = ...,
buffering: int = ...,
encoding: str | None = ...,
errors: str | None = ...,
newline: str | None = ...,
closefd: bool = ...,
opener: Callable[[str, int], int] | None = ...,
) -> AsyncFile[str]: ...
async def open_file(
file: str | PathLike[str] | int,
mode: str = "r",
buffering: int = -1,
encoding: str | None = None,
errors: str | None = None,
newline: str | None = None,
closefd: bool = True,
opener: Callable[[str, int], int] | None = None,
) -> AsyncFile[Any]:
"""
Open a file asynchronously.
The arguments are exactly the same as for the builtin :func:`open`.
:return: an asynchronous file object
"""
fp = await to_thread.run_sync(
open, file, mode, buffering, encoding, errors, newline, closefd, opener
)
return AsyncFile(fp)
def wrap_file(file: IO[AnyStr]) -> AsyncFile[AnyStr]:
"""
Wrap an existing file as an asynchronous file.
:param file: an existing file-like object
:return: an asynchronous file object
"""
return AsyncFile(file)
@dataclass(eq=False)
class _PathIterator(AsyncIterator["Path"]):
iterator: Iterator[PathLike[str]]
async def __anext__(self) -> Path:
nextval = await to_thread.run_sync(
next, self.iterator, None, abandon_on_cancel=True
)
if nextval is None:
raise StopAsyncIteration from None
return Path(nextval)
class Path:
"""
An asynchronous version of :class:`pathlib.Path`.
This class cannot be substituted for :class:`pathlib.Path` or
:class:`pathlib.PurePath`, but it is compatible with the :class:`os.PathLike`
interface.
It implements the Python 3.10 version of :class:`pathlib.Path` interface, except for
the deprecated :meth:`~pathlib.Path.link_to` method.
Some methods may be unavailable or have limited functionality, based on the Python
version:
* :meth:`~pathlib.Path.copy` (available on Python 3.14 or later)
* :meth:`~pathlib.Path.copy_into` (available on Python 3.14 or later)
* :meth:`~pathlib.Path.from_uri` (available on Python 3.13 or later)
* :meth:`~pathlib.PurePath.full_match` (available on Python 3.13 or later)
* :attr:`~pathlib.Path.info` (available on Python 3.14 or later)
* :meth:`~pathlib.Path.is_junction` (available on Python 3.12 or later)
* :meth:`~pathlib.PurePath.match` (the ``case_sensitive`` parameter is only
available on Python 3.13 or later)
* :meth:`~pathlib.Path.move` (available on Python 3.14 or later)
* :meth:`~pathlib.Path.move_into` (available on Python 3.14 or later)
* :meth:`~pathlib.PurePath.relative_to` (the ``walk_up`` parameter is only available
on Python 3.12 or later)
* :meth:`~pathlib.Path.walk` (available on Python 3.12 or later)
Any methods that do disk I/O need to be awaited on. These methods are:
* :meth:`~pathlib.Path.absolute`
* :meth:`~pathlib.Path.chmod`
* :meth:`~pathlib.Path.cwd`
* :meth:`~pathlib.Path.exists`
* :meth:`~pathlib.Path.expanduser`
* :meth:`~pathlib.Path.group`
* :meth:`~pathlib.Path.hardlink_to`
* :meth:`~pathlib.Path.home`
* :meth:`~pathlib.Path.is_block_device`
* :meth:`~pathlib.Path.is_char_device`
* :meth:`~pathlib.Path.is_dir`
* :meth:`~pathlib.Path.is_fifo`
* :meth:`~pathlib.Path.is_file`
* :meth:`~pathlib.Path.is_junction`
* :meth:`~pathlib.Path.is_mount`
* :meth:`~pathlib.Path.is_socket`
* :meth:`~pathlib.Path.is_symlink`
* :meth:`~pathlib.Path.lchmod`
* :meth:`~pathlib.Path.lstat`
* :meth:`~pathlib.Path.mkdir`
* :meth:`~pathlib.Path.open`
* :meth:`~pathlib.Path.owner`
* :meth:`~pathlib.Path.read_bytes`
* :meth:`~pathlib.Path.read_text`
* :meth:`~pathlib.Path.readlink`
* :meth:`~pathlib.Path.rename`
* :meth:`~pathlib.Path.replace`
* :meth:`~pathlib.Path.resolve`
* :meth:`~pathlib.Path.rmdir`
* :meth:`~pathlib.Path.samefile`
* :meth:`~pathlib.Path.stat`
* :meth:`~pathlib.Path.symlink_to`
* :meth:`~pathlib.Path.touch`
* :meth:`~pathlib.Path.unlink`
* :meth:`~pathlib.Path.walk`
* :meth:`~pathlib.Path.write_bytes`
* :meth:`~pathlib.Path.write_text`
Additionally, the following methods return an async iterator yielding
:class:`~.Path` objects:
* :meth:`~pathlib.Path.glob`
* :meth:`~pathlib.Path.iterdir`
* :meth:`~pathlib.Path.rglob`
"""
__slots__ = "_path", "__weakref__"
__weakref__: Any
def __init__(self, *args: str | PathLike[str]) -> None:
self._path: Final[pathlib.Path] = pathlib.Path(*args)
def __fspath__(self) -> str:
return self._path.__fspath__()
def __str__(self) -> str:
return self._path.__str__()
def __repr__(self) -> str:
return f"{self.__class__.__name__}({self.as_posix()!r})"
def __bytes__(self) -> bytes:
return self._path.__bytes__()
def __hash__(self) -> int:
return self._path.__hash__()
def __eq__(self, other: object) -> bool:
target = other._path if isinstance(other, Path) else other
return self._path.__eq__(target)
def __lt__(self, other: pathlib.PurePath | Path) -> bool:
target = other._path if isinstance(other, Path) else other
return self._path.__lt__(target)
def __le__(self, other: pathlib.PurePath | Path) -> bool:
target = other._path if isinstance(other, Path) else other
return self._path.__le__(target)
def __gt__(self, other: pathlib.PurePath | Path) -> bool:
target = other._path if isinstance(other, Path) else other
return self._path.__gt__(target)
def __ge__(self, other: pathlib.PurePath | Path) -> bool:
target = other._path if isinstance(other, Path) else other
return self._path.__ge__(target)
def __truediv__(self, other: str | PathLike[str]) -> Path:
return Path(self._path / other)
def __rtruediv__(self, other: str | PathLike[str]) -> Path:
return Path(other) / self
@property
def parts(self) -> tuple[str, ...]:
return self._path.parts
@property
def drive(self) -> str:
return self._path.drive
@property
def root(self) -> str:
return self._path.root
@property
def anchor(self) -> str:
return self._path.anchor
@property
def parents(self) -> Sequence[Path]:
return tuple(Path(p) for p in self._path.parents)
@property
def parent(self) -> Path:
return Path(self._path.parent)
@property
def name(self) -> str:
return self._path.name
@property
def suffix(self) -> str:
return self._path.suffix
@property
def suffixes(self) -> list[str]:
return self._path.suffixes
@property
def stem(self) -> str:
return self._path.stem
async def absolute(self) -> Path:
path = await to_thread.run_sync(self._path.absolute)
return Path(path)
def as_posix(self) -> str:
return self._path.as_posix()
def as_uri(self) -> str:
return self._path.as_uri()
if sys.version_info >= (3, 13):
parser: ClassVar[ModuleType] = pathlib.Path.parser
@classmethod
def from_uri(cls, uri: str) -> Path:
return Path(pathlib.Path.from_uri(uri))
def full_match(
self, path_pattern: str, *, case_sensitive: bool | None = None
) -> bool:
return self._path.full_match(path_pattern, case_sensitive=case_sensitive)
def match(
self, path_pattern: str, *, case_sensitive: bool | None = None
) -> bool:
return self._path.match(path_pattern, case_sensitive=case_sensitive)
else:
def match(self, path_pattern: str) -> bool:
return self._path.match(path_pattern)
if sys.version_info >= (3, 14):
@property
def info(self) -> Any: # TODO: add return type annotation when Typeshed gets it
return self._path.info
async def copy(
self,
target: str | os.PathLike[str],
*,
follow_symlinks: bool = True,
preserve_metadata: bool = False,
) -> Path:
func = partial(
self._path.copy,
follow_symlinks=follow_symlinks,
preserve_metadata=preserve_metadata,
)
return Path(await to_thread.run_sync(func, pathlib.Path(target)))
async def copy_into(
self,
target_dir: str | os.PathLike[str],
*,
follow_symlinks: bool = True,
preserve_metadata: bool = False,
) -> Path:
func = partial(
self._path.copy_into,
follow_symlinks=follow_symlinks,
preserve_metadata=preserve_metadata,
)
return Path(await to_thread.run_sync(func, pathlib.Path(target_dir)))
async def move(self, target: str | os.PathLike[str]) -> Path:
# Upstream does not handle anyio.Path properly as a PathLike
target = pathlib.Path(target)
return Path(await to_thread.run_sync(self._path.move, target))
async def move_into(
self,
target_dir: str | os.PathLike[str],
) -> Path:
return Path(await to_thread.run_sync(self._path.move_into, target_dir))
def is_relative_to(self, other: str | PathLike[str]) -> bool:
try:
self.relative_to(other)
return True
except ValueError:
return False
async def chmod(self, mode: int, *, follow_symlinks: bool = True) -> None:
func = partial(os.chmod, follow_symlinks=follow_symlinks)
return await to_thread.run_sync(func, self._path, mode)
@classmethod
async def cwd(cls) -> Path:
path = await to_thread.run_sync(pathlib.Path.cwd)
return cls(path)
async def exists(self) -> bool:
return await to_thread.run_sync(self._path.exists, abandon_on_cancel=True)
async def expanduser(self) -> Path:
return Path(
await to_thread.run_sync(self._path.expanduser, abandon_on_cancel=True)
)
if sys.version_info < (3, 12):
# Python 3.11 and earlier
def glob(self, pattern: str) -> AsyncIterator[Path]:
gen = self._path.glob(pattern)
return _PathIterator(gen)
elif (3, 12) <= sys.version_info < (3, 13):
# changed in Python 3.12:
# - The case_sensitive parameter was added.
def glob(
self,
pattern: str,
*,
case_sensitive: bool | None = None,
) -> AsyncIterator[Path]:
gen = self._path.glob(pattern, case_sensitive=case_sensitive)
return _PathIterator(gen)
elif sys.version_info >= (3, 13):
# Changed in Python 3.13:
# - The recurse_symlinks parameter was added.
# - The pattern parameter accepts a path-like object.
def glob( # type: ignore[misc] # mypy doesn't allow for differing signatures in a conditional block
self,
pattern: str | PathLike[str],
*,
case_sensitive: bool | None = None,
recurse_symlinks: bool = False,
) -> AsyncIterator[Path]:
gen = self._path.glob(
pattern, # type: ignore[arg-type]
case_sensitive=case_sensitive,
recurse_symlinks=recurse_symlinks,
)
return _PathIterator(gen)
async def group(self) -> str:
return await to_thread.run_sync(self._path.group, abandon_on_cancel=True)
async def hardlink_to(
self, target: str | bytes | PathLike[str] | PathLike[bytes]
) -> None:
if isinstance(target, Path):
target = target._path
await to_thread.run_sync(os.link, target, self)
@classmethod
async def home(cls) -> Path:
home_path = await to_thread.run_sync(pathlib.Path.home)
return cls(home_path)
def is_absolute(self) -> bool:
return self._path.is_absolute()
async def is_block_device(self) -> bool:
return await to_thread.run_sync(
self._path.is_block_device, abandon_on_cancel=True
)
async def is_char_device(self) -> bool:
return await to_thread.run_sync(
self._path.is_char_device, abandon_on_cancel=True
)
async def is_dir(self) -> bool:
return await to_thread.run_sync(self._path.is_dir, abandon_on_cancel=True)
async def is_fifo(self) -> bool:
return await to_thread.run_sync(self._path.is_fifo, abandon_on_cancel=True)
async def is_file(self) -> bool:
return await to_thread.run_sync(self._path.is_file, abandon_on_cancel=True)
if sys.version_info >= (3, 12):
async def is_junction(self) -> bool:
return await to_thread.run_sync(self._path.is_junction)
async def is_mount(self) -> bool:
return await to_thread.run_sync(
os.path.ismount, self._path, abandon_on_cancel=True
)
def is_reserved(self) -> bool:
return self._path.is_reserved()
async def is_socket(self) -> bool:
return await to_thread.run_sync(self._path.is_socket, abandon_on_cancel=True)
async def is_symlink(self) -> bool:
return await to_thread.run_sync(self._path.is_symlink, abandon_on_cancel=True)
async def iterdir(self) -> AsyncIterator[Path]:
gen = (
self._path.iterdir()
if sys.version_info < (3, 13)
else await to_thread.run_sync(self._path.iterdir, abandon_on_cancel=True)
)
async for path in _PathIterator(gen):
yield path
def joinpath(self, *args: str | PathLike[str]) -> Path:
return Path(self._path.joinpath(*args))
async def lchmod(self, mode: int) -> None:
await to_thread.run_sync(self._path.lchmod, mode)
async def lstat(self) -> os.stat_result:
return await to_thread.run_sync(self._path.lstat, abandon_on_cancel=True)
async def mkdir(
self, mode: int = 0o777, parents: bool = False, exist_ok: bool = False
) -> None:
await to_thread.run_sync(self._path.mkdir, mode, parents, exist_ok)
@overload
async def open(
self,
mode: OpenBinaryMode,
buffering: int = ...,
encoding: str | None = ...,
errors: str | None = ...,
newline: str | None = ...,
) -> AsyncFile[bytes]: ...
@overload
async def open(
self,
mode: OpenTextMode = ...,
buffering: int = ...,
encoding: str | None = ...,
errors: str | None = ...,
newline: str | None = ...,
) -> AsyncFile[str]: ...
async def open(
self,
mode: str = "r",
buffering: int = -1,
encoding: str | None = None,
errors: str | None = None,
newline: str | None = None,
) -> AsyncFile[Any]:
fp = await to_thread.run_sync(
self._path.open, mode, buffering, encoding, errors, newline
)
return AsyncFile(fp)
async def owner(self) -> str:
return await to_thread.run_sync(self._path.owner, abandon_on_cancel=True)
async def read_bytes(self) -> bytes:
return await to_thread.run_sync(self._path.read_bytes)
async def read_text(
self, encoding: str | None = None, errors: str | None = None
) -> str:
return await to_thread.run_sync(self._path.read_text, encoding, errors)
if sys.version_info >= (3, 12):
def relative_to(
self, *other: str | PathLike[str], walk_up: bool = False
) -> Path:
# relative_to() should work with any PathLike but it doesn't
others = [pathlib.Path(other) for other in other]
return Path(self._path.relative_to(*others, walk_up=walk_up))
else:
def relative_to(self, *other: str | PathLike[str]) -> Path:
return Path(self._path.relative_to(*other))
async def readlink(self) -> Path:
target = await to_thread.run_sync(os.readlink, self._path)
return Path(target)
async def rename(self, target: str | pathlib.PurePath | Path) -> Path:
if isinstance(target, Path):
target = target._path
await to_thread.run_sync(self._path.rename, target)
return Path(target)
async def replace(self, target: str | pathlib.PurePath | Path) -> Path:
if isinstance(target, Path):
target = target._path
await to_thread.run_sync(self._path.replace, target)
return Path(target)
async def resolve(self, strict: bool = False) -> Path:
func = partial(self._path.resolve, strict=strict)
return Path(await to_thread.run_sync(func, abandon_on_cancel=True))
if sys.version_info < (3, 12):
# Pre Python 3.12
def rglob(self, pattern: str) -> AsyncIterator[Path]:
gen = self._path.rglob(pattern)
return _PathIterator(gen)
elif (3, 12) <= sys.version_info < (3, 13):
# Changed in Python 3.12:
# - The case_sensitive parameter was added.
def rglob(
self, pattern: str, *, case_sensitive: bool | None = None
) -> AsyncIterator[Path]:
gen = self._path.rglob(pattern, case_sensitive=case_sensitive)
return _PathIterator(gen)
elif sys.version_info >= (3, 13):
# Changed in Python 3.13:
# - The recurse_symlinks parameter was added.
# - The pattern parameter accepts a path-like object.
def rglob( # type: ignore[misc] # mypy doesn't allow for differing signatures in a conditional block
self,
pattern: str | PathLike[str],
*,
case_sensitive: bool | None = None,
recurse_symlinks: bool = False,
) -> AsyncIterator[Path]:
gen = self._path.rglob(
pattern, # type: ignore[arg-type]
case_sensitive=case_sensitive,
recurse_symlinks=recurse_symlinks,
)
return _PathIterator(gen)
async def rmdir(self) -> None:
await to_thread.run_sync(self._path.rmdir)
async def samefile(self, other_path: str | PathLike[str]) -> bool:
if isinstance(other_path, Path):
other_path = other_path._path
return await to_thread.run_sync(
self._path.samefile, other_path, abandon_on_cancel=True
)
async def stat(self, *, follow_symlinks: bool = True) -> os.stat_result:
func = partial(os.stat, follow_symlinks=follow_symlinks)
return await to_thread.run_sync(func, self._path, abandon_on_cancel=True)
async def symlink_to(
self,
target: str | bytes | PathLike[str] | PathLike[bytes],
target_is_directory: bool = False,
) -> None:
if isinstance(target, Path):
target = target._path
await to_thread.run_sync(self._path.symlink_to, target, target_is_directory)
async def touch(self, mode: int = 0o666, exist_ok: bool = True) -> None:
await to_thread.run_sync(self._path.touch, mode, exist_ok)
async def unlink(self, missing_ok: bool = False) -> None:
try:
await to_thread.run_sync(self._path.unlink)
except FileNotFoundError:
if not missing_ok:
raise
if sys.version_info >= (3, 12):
async def walk(
self,
top_down: bool = True,
on_error: Callable[[OSError], object] | None = None,
follow_symlinks: bool = False,
) -> AsyncIterator[tuple[Path, list[str], list[str]]]:
def get_next_value() -> tuple[pathlib.Path, list[str], list[str]] | None:
try:
return next(gen)
except StopIteration:
return None
gen = self._path.walk(top_down, on_error, follow_symlinks)
while True:
value = await to_thread.run_sync(get_next_value)
if value is None:
return
root, dirs, paths = value
yield Path(root), dirs, paths
def with_name(self, name: str) -> Path:
return Path(self._path.with_name(name))
def with_stem(self, stem: str) -> Path:
return Path(self._path.with_name(stem + self._path.suffix))
def with_suffix(self, suffix: str) -> Path:
return Path(self._path.with_suffix(suffix))
def with_segments(self, *pathsegments: str | PathLike[str]) -> Path:
return Path(*pathsegments)
async def write_bytes(self, data: bytes) -> int:
return await to_thread.run_sync(self._path.write_bytes, data)
async def write_text(
self,
data: str,
encoding: str | None = None,
errors: str | None = None,
newline: str | None = None,
) -> int:
# Path.write_text() does not support the "newline" parameter before Python 3.10
def sync_write_text() -> int:
with self._path.open(
"w", encoding=encoding, errors=errors, newline=newline
) as fp:
return fp.write(data)
return await to_thread.run_sync(sync_write_text)
PathLike.register(Path)

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@@ -0,0 +1,18 @@
from __future__ import annotations
from ..abc import AsyncResource
from ._tasks import CancelScope
async def aclose_forcefully(resource: AsyncResource) -> None:
"""
Close an asynchronous resource in a cancelled scope.
Doing this closes the resource without waiting on anything.
:param resource: the resource to close
"""
with CancelScope() as scope:
scope.cancel()
await resource.aclose()

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from __future__ import annotations
from collections.abc import AsyncIterator
from contextlib import AbstractContextManager
from signal import Signals
from ._eventloop import get_async_backend
def open_signal_receiver(
*signals: Signals,
) -> AbstractContextManager[AsyncIterator[Signals]]:
"""
Start receiving operating system signals.
:param signals: signals to receive (e.g. ``signal.SIGINT``)
:return: an asynchronous context manager for an asynchronous iterator which yields
signal numbers
:raises NoEventLoopError: if no supported asynchronous event loop is running in the
current thread
.. warning:: Windows does not support signals natively so it is best to avoid
relying on this in cross-platform applications.
.. warning:: On asyncio, this permanently replaces any previous signal handler for
the given signals, as set via :meth:`~asyncio.loop.add_signal_handler`.
"""
return get_async_backend().open_signal_receiver(*signals)

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@@ -0,0 +1,52 @@
from __future__ import annotations
import math
from typing import TypeVar
from warnings import warn
from ..streams.memory import (
MemoryObjectReceiveStream,
MemoryObjectSendStream,
_MemoryObjectStreamState,
)
T_Item = TypeVar("T_Item")
class create_memory_object_stream(
tuple[MemoryObjectSendStream[T_Item], MemoryObjectReceiveStream[T_Item]],
):
"""
Create a memory object stream.
The stream's item type can be annotated like
:func:`create_memory_object_stream[T_Item]`.
:param max_buffer_size: number of items held in the buffer until ``send()`` starts
blocking
:param item_type: old way of marking the streams with the right generic type for
static typing (does nothing on AnyIO 4)
.. deprecated:: 4.0
Use ``create_memory_object_stream[YourItemType](...)`` instead.
:return: a tuple of (send stream, receive stream)
"""
def __new__( # type: ignore[misc]
cls, max_buffer_size: float = 0, item_type: object = None
) -> tuple[MemoryObjectSendStream[T_Item], MemoryObjectReceiveStream[T_Item]]:
if max_buffer_size != math.inf and not isinstance(max_buffer_size, int):
raise ValueError("max_buffer_size must be either an integer or math.inf")
if max_buffer_size < 0:
raise ValueError("max_buffer_size cannot be negative")
if item_type is not None:
warn(
"The item_type argument has been deprecated in AnyIO 4.0. "
"Use create_memory_object_stream[YourItemType](...) instead.",
DeprecationWarning,
stacklevel=2,
)
state = _MemoryObjectStreamState[T_Item](max_buffer_size)
return (MemoryObjectSendStream(state), MemoryObjectReceiveStream(state))

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from __future__ import annotations
import sys
from collections.abc import AsyncIterable, Iterable, Mapping, Sequence
from io import BytesIO
from os import PathLike
from subprocess import PIPE, CalledProcessError, CompletedProcess
from typing import IO, Any, Union, cast
from ..abc import Process
from ._eventloop import get_async_backend
from ._tasks import create_task_group
if sys.version_info >= (3, 10):
from typing import TypeAlias
else:
from typing_extensions import TypeAlias
StrOrBytesPath: TypeAlias = Union[str, bytes, "PathLike[str]", "PathLike[bytes]"]
async def run_process(
command: StrOrBytesPath | Sequence[StrOrBytesPath],
*,
input: bytes | None = None,
stdin: int | IO[Any] | None = None,
stdout: int | IO[Any] | None = PIPE,
stderr: int | IO[Any] | None = PIPE,
check: bool = True,
cwd: StrOrBytesPath | None = None,
env: Mapping[str, str] | None = None,
startupinfo: Any = None,
creationflags: int = 0,
start_new_session: bool = False,
pass_fds: Sequence[int] = (),
user: str | int | None = None,
group: str | int | None = None,
extra_groups: Iterable[str | int] | None = None,
umask: int = -1,
) -> CompletedProcess[bytes]:
"""
Run an external command in a subprocess and wait until it completes.
.. seealso:: :func:`subprocess.run`
:param command: either a string to pass to the shell, or an iterable of strings
containing the executable name or path and its arguments
:param input: bytes passed to the standard input of the subprocess
:param stdin: one of :data:`subprocess.PIPE`, :data:`subprocess.DEVNULL`,
a file-like object, or `None`; ``input`` overrides this
:param stdout: one of :data:`subprocess.PIPE`, :data:`subprocess.DEVNULL`,
a file-like object, or `None`
:param stderr: one of :data:`subprocess.PIPE`, :data:`subprocess.DEVNULL`,
:data:`subprocess.STDOUT`, a file-like object, or `None`
:param check: if ``True``, raise :exc:`~subprocess.CalledProcessError` if the
process terminates with a return code other than 0
:param cwd: If not ``None``, change the working directory to this before running the
command
:param env: if not ``None``, this mapping replaces the inherited environment
variables from the parent process
:param startupinfo: an instance of :class:`subprocess.STARTUPINFO` that can be used
to specify process startup parameters (Windows only)
:param creationflags: flags that can be used to control the creation of the
subprocess (see :class:`subprocess.Popen` for the specifics)
:param start_new_session: if ``true`` the setsid() system call will be made in the
child process prior to the execution of the subprocess. (POSIX only)
:param pass_fds: sequence of file descriptors to keep open between the parent and
child processes. (POSIX only)
:param user: effective user to run the process as (Python >= 3.9, POSIX only)
:param group: effective group to run the process as (Python >= 3.9, POSIX only)
:param extra_groups: supplementary groups to set in the subprocess (Python >= 3.9,
POSIX only)
:param umask: if not negative, this umask is applied in the child process before
running the given command (Python >= 3.9, POSIX only)
:return: an object representing the completed process
:raises ~subprocess.CalledProcessError: if ``check`` is ``True`` and the process
exits with a nonzero return code
"""
async def drain_stream(stream: AsyncIterable[bytes], index: int) -> None:
buffer = BytesIO()
async for chunk in stream:
buffer.write(chunk)
stream_contents[index] = buffer.getvalue()
if stdin is not None and input is not None:
raise ValueError("only one of stdin and input is allowed")
async with await open_process(
command,
stdin=PIPE if input else stdin,
stdout=stdout,
stderr=stderr,
cwd=cwd,
env=env,
startupinfo=startupinfo,
creationflags=creationflags,
start_new_session=start_new_session,
pass_fds=pass_fds,
user=user,
group=group,
extra_groups=extra_groups,
umask=umask,
) as process:
stream_contents: list[bytes | None] = [None, None]
async with create_task_group() as tg:
if process.stdout:
tg.start_soon(drain_stream, process.stdout, 0)
if process.stderr:
tg.start_soon(drain_stream, process.stderr, 1)
if process.stdin and input:
await process.stdin.send(input)
await process.stdin.aclose()
await process.wait()
output, errors = stream_contents
if check and process.returncode != 0:
raise CalledProcessError(cast(int, process.returncode), command, output, errors)
return CompletedProcess(command, cast(int, process.returncode), output, errors)
async def open_process(
command: StrOrBytesPath | Sequence[StrOrBytesPath],
*,
stdin: int | IO[Any] | None = PIPE,
stdout: int | IO[Any] | None = PIPE,
stderr: int | IO[Any] | None = PIPE,
cwd: StrOrBytesPath | None = None,
env: Mapping[str, str] | None = None,
startupinfo: Any = None,
creationflags: int = 0,
start_new_session: bool = False,
pass_fds: Sequence[int] = (),
user: str | int | None = None,
group: str | int | None = None,
extra_groups: Iterable[str | int] | None = None,
umask: int = -1,
) -> Process:
"""
Start an external command in a subprocess.
.. seealso:: :class:`subprocess.Popen`
:param command: either a string to pass to the shell, or an iterable of strings
containing the executable name or path and its arguments
:param stdin: one of :data:`subprocess.PIPE`, :data:`subprocess.DEVNULL`, a
file-like object, or ``None``
:param stdout: one of :data:`subprocess.PIPE`, :data:`subprocess.DEVNULL`,
a file-like object, or ``None``
:param stderr: one of :data:`subprocess.PIPE`, :data:`subprocess.DEVNULL`,
:data:`subprocess.STDOUT`, a file-like object, or ``None``
:param cwd: If not ``None``, the working directory is changed before executing
:param env: If env is not ``None``, it must be a mapping that defines the
environment variables for the new process
:param creationflags: flags that can be used to control the creation of the
subprocess (see :class:`subprocess.Popen` for the specifics)
:param startupinfo: an instance of :class:`subprocess.STARTUPINFO` that can be used
to specify process startup parameters (Windows only)
:param start_new_session: if ``true`` the setsid() system call will be made in the
child process prior to the execution of the subprocess. (POSIX only)
:param pass_fds: sequence of file descriptors to keep open between the parent and
child processes. (POSIX only)
:param user: effective user to run the process as (POSIX only)
:param group: effective group to run the process as (POSIX only)
:param extra_groups: supplementary groups to set in the subprocess (POSIX only)
:param umask: if not negative, this umask is applied in the child process before
running the given command (POSIX only)
:return: an asynchronous process object
"""
kwargs: dict[str, Any] = {}
if user is not None:
kwargs["user"] = user
if group is not None:
kwargs["group"] = group
if extra_groups is not None:
kwargs["extra_groups"] = group
if umask >= 0:
kwargs["umask"] = umask
return await get_async_backend().open_process(
command,
stdin=stdin,
stdout=stdout,
stderr=stderr,
cwd=cwd,
env=env,
startupinfo=startupinfo,
creationflags=creationflags,
start_new_session=start_new_session,
pass_fds=pass_fds,
**kwargs,
)

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@@ -0,0 +1,753 @@
from __future__ import annotations
import math
from collections import deque
from collections.abc import Callable
from dataclasses import dataclass
from types import TracebackType
from typing import TypeVar
from ..lowlevel import checkpoint_if_cancelled
from ._eventloop import get_async_backend
from ._exceptions import BusyResourceError, NoEventLoopError
from ._tasks import CancelScope
from ._testing import TaskInfo, get_current_task
T = TypeVar("T")
@dataclass(frozen=True)
class EventStatistics:
"""
:ivar int tasks_waiting: number of tasks waiting on :meth:`~.Event.wait`
"""
tasks_waiting: int
@dataclass(frozen=True)
class CapacityLimiterStatistics:
"""
:ivar int borrowed_tokens: number of tokens currently borrowed by tasks
:ivar float total_tokens: total number of available tokens
:ivar tuple borrowers: tasks or other objects currently holding tokens borrowed from
this limiter
:ivar int tasks_waiting: number of tasks waiting on
:meth:`~.CapacityLimiter.acquire` or
:meth:`~.CapacityLimiter.acquire_on_behalf_of`
"""
borrowed_tokens: int
total_tokens: float
borrowers: tuple[object, ...]
tasks_waiting: int
@dataclass(frozen=True)
class LockStatistics:
"""
:ivar bool locked: flag indicating if this lock is locked or not
:ivar ~anyio.TaskInfo owner: task currently holding the lock (or ``None`` if the
lock is not held by any task)
:ivar int tasks_waiting: number of tasks waiting on :meth:`~.Lock.acquire`
"""
locked: bool
owner: TaskInfo | None
tasks_waiting: int
@dataclass(frozen=True)
class ConditionStatistics:
"""
:ivar int tasks_waiting: number of tasks blocked on :meth:`~.Condition.wait`
:ivar ~anyio.LockStatistics lock_statistics: statistics of the underlying
:class:`~.Lock`
"""
tasks_waiting: int
lock_statistics: LockStatistics
@dataclass(frozen=True)
class SemaphoreStatistics:
"""
:ivar int tasks_waiting: number of tasks waiting on :meth:`~.Semaphore.acquire`
"""
tasks_waiting: int
class Event:
def __new__(cls) -> Event:
try:
return get_async_backend().create_event()
except NoEventLoopError:
return EventAdapter()
def set(self) -> None:
"""Set the flag, notifying all listeners."""
raise NotImplementedError
def is_set(self) -> bool:
"""Return ``True`` if the flag is set, ``False`` if not."""
raise NotImplementedError
async def wait(self) -> None:
"""
Wait until the flag has been set.
If the flag has already been set when this method is called, it returns
immediately.
"""
raise NotImplementedError
def statistics(self) -> EventStatistics:
"""Return statistics about the current state of this event."""
raise NotImplementedError
class EventAdapter(Event):
_internal_event: Event | None = None
_is_set: bool = False
def __new__(cls) -> EventAdapter:
return object.__new__(cls)
@property
def _event(self) -> Event:
if self._internal_event is None:
self._internal_event = get_async_backend().create_event()
if self._is_set:
self._internal_event.set()
return self._internal_event
def set(self) -> None:
if self._internal_event is None:
self._is_set = True
else:
self._event.set()
def is_set(self) -> bool:
if self._internal_event is None:
return self._is_set
return self._internal_event.is_set()
async def wait(self) -> None:
await self._event.wait()
def statistics(self) -> EventStatistics:
if self._internal_event is None:
return EventStatistics(tasks_waiting=0)
return self._internal_event.statistics()
class Lock:
def __new__(cls, *, fast_acquire: bool = False) -> Lock:
try:
return get_async_backend().create_lock(fast_acquire=fast_acquire)
except NoEventLoopError:
return LockAdapter(fast_acquire=fast_acquire)
async def __aenter__(self) -> None:
await self.acquire()
async def __aexit__(
self,
exc_type: type[BaseException] | None,
exc_val: BaseException | None,
exc_tb: TracebackType | None,
) -> None:
self.release()
async def acquire(self) -> None:
"""Acquire the lock."""
raise NotImplementedError
def acquire_nowait(self) -> None:
"""
Acquire the lock, without blocking.
:raises ~anyio.WouldBlock: if the operation would block
"""
raise NotImplementedError
def release(self) -> None:
"""Release the lock."""
raise NotImplementedError
def locked(self) -> bool:
"""Return True if the lock is currently held."""
raise NotImplementedError
def statistics(self) -> LockStatistics:
"""
Return statistics about the current state of this lock.
.. versionadded:: 3.0
"""
raise NotImplementedError
class LockAdapter(Lock):
_internal_lock: Lock | None = None
def __new__(cls, *, fast_acquire: bool = False) -> LockAdapter:
return object.__new__(cls)
def __init__(self, *, fast_acquire: bool = False):
self._fast_acquire = fast_acquire
@property
def _lock(self) -> Lock:
if self._internal_lock is None:
self._internal_lock = get_async_backend().create_lock(
fast_acquire=self._fast_acquire
)
return self._internal_lock
async def __aenter__(self) -> None:
await self._lock.acquire()
async def __aexit__(
self,
exc_type: type[BaseException] | None,
exc_val: BaseException | None,
exc_tb: TracebackType | None,
) -> None:
if self._internal_lock is not None:
self._internal_lock.release()
async def acquire(self) -> None:
"""Acquire the lock."""
await self._lock.acquire()
def acquire_nowait(self) -> None:
"""
Acquire the lock, without blocking.
:raises ~anyio.WouldBlock: if the operation would block
"""
self._lock.acquire_nowait()
def release(self) -> None:
"""Release the lock."""
self._lock.release()
def locked(self) -> bool:
"""Return True if the lock is currently held."""
return self._lock.locked()
def statistics(self) -> LockStatistics:
"""
Return statistics about the current state of this lock.
.. versionadded:: 3.0
"""
if self._internal_lock is None:
return LockStatistics(False, None, 0)
return self._internal_lock.statistics()
class Condition:
_owner_task: TaskInfo | None = None
def __init__(self, lock: Lock | None = None):
self._lock = lock or Lock()
self._waiters: deque[Event] = deque()
async def __aenter__(self) -> None:
await self.acquire()
async def __aexit__(
self,
exc_type: type[BaseException] | None,
exc_val: BaseException | None,
exc_tb: TracebackType | None,
) -> None:
self.release()
def _check_acquired(self) -> None:
if self._owner_task != get_current_task():
raise RuntimeError("The current task is not holding the underlying lock")
async def acquire(self) -> None:
"""Acquire the underlying lock."""
await self._lock.acquire()
self._owner_task = get_current_task()
def acquire_nowait(self) -> None:
"""
Acquire the underlying lock, without blocking.
:raises ~anyio.WouldBlock: if the operation would block
"""
self._lock.acquire_nowait()
self._owner_task = get_current_task()
def release(self) -> None:
"""Release the underlying lock."""
self._lock.release()
def locked(self) -> bool:
"""Return True if the lock is set."""
return self._lock.locked()
def notify(self, n: int = 1) -> None:
"""Notify exactly n listeners."""
self._check_acquired()
for _ in range(n):
try:
event = self._waiters.popleft()
except IndexError:
break
event.set()
def notify_all(self) -> None:
"""Notify all the listeners."""
self._check_acquired()
for event in self._waiters:
event.set()
self._waiters.clear()
async def wait(self) -> None:
"""Wait for a notification."""
await checkpoint_if_cancelled()
self._check_acquired()
event = Event()
self._waiters.append(event)
self.release()
try:
await event.wait()
except BaseException:
if not event.is_set():
self._waiters.remove(event)
raise
finally:
with CancelScope(shield=True):
await self.acquire()
async def wait_for(self, predicate: Callable[[], T]) -> T:
"""
Wait until a predicate becomes true.
:param predicate: a callable that returns a truthy value when the condition is
met
:return: the result of the predicate
.. versionadded:: 4.11.0
"""
while not (result := predicate()):
await self.wait()
return result
def statistics(self) -> ConditionStatistics:
"""
Return statistics about the current state of this condition.
.. versionadded:: 3.0
"""
return ConditionStatistics(len(self._waiters), self._lock.statistics())
class Semaphore:
def __new__(
cls,
initial_value: int,
*,
max_value: int | None = None,
fast_acquire: bool = False,
) -> Semaphore:
try:
return get_async_backend().create_semaphore(
initial_value, max_value=max_value, fast_acquire=fast_acquire
)
except NoEventLoopError:
return SemaphoreAdapter(initial_value, max_value=max_value)
def __init__(
self,
initial_value: int,
*,
max_value: int | None = None,
fast_acquire: bool = False,
):
if not isinstance(initial_value, int):
raise TypeError("initial_value must be an integer")
if initial_value < 0:
raise ValueError("initial_value must be >= 0")
if max_value is not None:
if not isinstance(max_value, int):
raise TypeError("max_value must be an integer or None")
if max_value < initial_value:
raise ValueError(
"max_value must be equal to or higher than initial_value"
)
self._fast_acquire = fast_acquire
async def __aenter__(self) -> Semaphore:
await self.acquire()
return self
async def __aexit__(
self,
exc_type: type[BaseException] | None,
exc_val: BaseException | None,
exc_tb: TracebackType | None,
) -> None:
self.release()
async def acquire(self) -> None:
"""Decrement the semaphore value, blocking if necessary."""
raise NotImplementedError
def acquire_nowait(self) -> None:
"""
Acquire the underlying lock, without blocking.
:raises ~anyio.WouldBlock: if the operation would block
"""
raise NotImplementedError
def release(self) -> None:
"""Increment the semaphore value."""
raise NotImplementedError
@property
def value(self) -> int:
"""The current value of the semaphore."""
raise NotImplementedError
@property
def max_value(self) -> int | None:
"""The maximum value of the semaphore."""
raise NotImplementedError
def statistics(self) -> SemaphoreStatistics:
"""
Return statistics about the current state of this semaphore.
.. versionadded:: 3.0
"""
raise NotImplementedError
class SemaphoreAdapter(Semaphore):
_internal_semaphore: Semaphore | None = None
def __new__(
cls,
initial_value: int,
*,
max_value: int | None = None,
fast_acquire: bool = False,
) -> SemaphoreAdapter:
return object.__new__(cls)
def __init__(
self,
initial_value: int,
*,
max_value: int | None = None,
fast_acquire: bool = False,
) -> None:
super().__init__(initial_value, max_value=max_value, fast_acquire=fast_acquire)
self._initial_value = initial_value
self._max_value = max_value
@property
def _semaphore(self) -> Semaphore:
if self._internal_semaphore is None:
self._internal_semaphore = get_async_backend().create_semaphore(
self._initial_value, max_value=self._max_value
)
return self._internal_semaphore
async def acquire(self) -> None:
await self._semaphore.acquire()
def acquire_nowait(self) -> None:
self._semaphore.acquire_nowait()
def release(self) -> None:
self._semaphore.release()
@property
def value(self) -> int:
if self._internal_semaphore is None:
return self._initial_value
return self._semaphore.value
@property
def max_value(self) -> int | None:
return self._max_value
def statistics(self) -> SemaphoreStatistics:
if self._internal_semaphore is None:
return SemaphoreStatistics(tasks_waiting=0)
return self._semaphore.statistics()
class CapacityLimiter:
def __new__(cls, total_tokens: float) -> CapacityLimiter:
try:
return get_async_backend().create_capacity_limiter(total_tokens)
except NoEventLoopError:
return CapacityLimiterAdapter(total_tokens)
async def __aenter__(self) -> None:
raise NotImplementedError
async def __aexit__(
self,
exc_type: type[BaseException] | None,
exc_val: BaseException | None,
exc_tb: TracebackType | None,
) -> None:
raise NotImplementedError
@property
def total_tokens(self) -> float:
"""
The total number of tokens available for borrowing.
This is a read-write property. If the total number of tokens is increased, the
proportionate number of tasks waiting on this limiter will be granted their
tokens.
.. versionchanged:: 3.0
The property is now writable.
.. versionchanged:: 4.12
The value can now be set to 0.
"""
raise NotImplementedError
@total_tokens.setter
def total_tokens(self, value: float) -> None:
raise NotImplementedError
@property
def borrowed_tokens(self) -> int:
"""The number of tokens that have currently been borrowed."""
raise NotImplementedError
@property
def available_tokens(self) -> float:
"""The number of tokens currently available to be borrowed"""
raise NotImplementedError
def acquire_nowait(self) -> None:
"""
Acquire a token for the current task without waiting for one to become
available.
:raises ~anyio.WouldBlock: if there are no tokens available for borrowing
"""
raise NotImplementedError
def acquire_on_behalf_of_nowait(self, borrower: object) -> None:
"""
Acquire a token without waiting for one to become available.
:param borrower: the entity borrowing a token
:raises ~anyio.WouldBlock: if there are no tokens available for borrowing
"""
raise NotImplementedError
async def acquire(self) -> None:
"""
Acquire a token for the current task, waiting if necessary for one to become
available.
"""
raise NotImplementedError
async def acquire_on_behalf_of(self, borrower: object) -> None:
"""
Acquire a token, waiting if necessary for one to become available.
:param borrower: the entity borrowing a token
"""
raise NotImplementedError
def release(self) -> None:
"""
Release the token held by the current task.
:raises RuntimeError: if the current task has not borrowed a token from this
limiter.
"""
raise NotImplementedError
def release_on_behalf_of(self, borrower: object) -> None:
"""
Release the token held by the given borrower.
:raises RuntimeError: if the borrower has not borrowed a token from this
limiter.
"""
raise NotImplementedError
def statistics(self) -> CapacityLimiterStatistics:
"""
Return statistics about the current state of this limiter.
.. versionadded:: 3.0
"""
raise NotImplementedError
class CapacityLimiterAdapter(CapacityLimiter):
_internal_limiter: CapacityLimiter | None = None
def __new__(cls, total_tokens: float) -> CapacityLimiterAdapter:
return object.__new__(cls)
def __init__(self, total_tokens: float) -> None:
self.total_tokens = total_tokens
@property
def _limiter(self) -> CapacityLimiter:
if self._internal_limiter is None:
self._internal_limiter = get_async_backend().create_capacity_limiter(
self._total_tokens
)
return self._internal_limiter
async def __aenter__(self) -> None:
await self._limiter.__aenter__()
async def __aexit__(
self,
exc_type: type[BaseException] | None,
exc_val: BaseException | None,
exc_tb: TracebackType | None,
) -> None:
return await self._limiter.__aexit__(exc_type, exc_val, exc_tb)
@property
def total_tokens(self) -> float:
if self._internal_limiter is None:
return self._total_tokens
return self._internal_limiter.total_tokens
@total_tokens.setter
def total_tokens(self, value: float) -> None:
if not isinstance(value, int) and value is not math.inf:
raise TypeError("total_tokens must be an int or math.inf")
elif value < 1:
raise ValueError("total_tokens must be >= 1")
if self._internal_limiter is None:
self._total_tokens = value
return
self._limiter.total_tokens = value
@property
def borrowed_tokens(self) -> int:
if self._internal_limiter is None:
return 0
return self._internal_limiter.borrowed_tokens
@property
def available_tokens(self) -> float:
if self._internal_limiter is None:
return self._total_tokens
return self._internal_limiter.available_tokens
def acquire_nowait(self) -> None:
self._limiter.acquire_nowait()
def acquire_on_behalf_of_nowait(self, borrower: object) -> None:
self._limiter.acquire_on_behalf_of_nowait(borrower)
async def acquire(self) -> None:
await self._limiter.acquire()
async def acquire_on_behalf_of(self, borrower: object) -> None:
await self._limiter.acquire_on_behalf_of(borrower)
def release(self) -> None:
self._limiter.release()
def release_on_behalf_of(self, borrower: object) -> None:
self._limiter.release_on_behalf_of(borrower)
def statistics(self) -> CapacityLimiterStatistics:
if self._internal_limiter is None:
return CapacityLimiterStatistics(
borrowed_tokens=0,
total_tokens=self.total_tokens,
borrowers=(),
tasks_waiting=0,
)
return self._internal_limiter.statistics()
class ResourceGuard:
"""
A context manager for ensuring that a resource is only used by a single task at a
time.
Entering this context manager while the previous has not exited it yet will trigger
:exc:`BusyResourceError`.
:param action: the action to guard against (visible in the :exc:`BusyResourceError`
when triggered, e.g. "Another task is already {action} this resource")
.. versionadded:: 4.1
"""
__slots__ = "action", "_guarded"
def __init__(self, action: str = "using"):
self.action: str = action
self._guarded = False
def __enter__(self) -> None:
if self._guarded:
raise BusyResourceError(self.action)
self._guarded = True
def __exit__(
self,
exc_type: type[BaseException] | None,
exc_val: BaseException | None,
exc_tb: TracebackType | None,
) -> None:
self._guarded = False

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from __future__ import annotations
import math
from collections.abc import Generator
from contextlib import contextmanager
from types import TracebackType
from ..abc._tasks import TaskGroup, TaskStatus
from ._eventloop import get_async_backend
class _IgnoredTaskStatus(TaskStatus[object]):
def started(self, value: object = None) -> None:
pass
TASK_STATUS_IGNORED = _IgnoredTaskStatus()
class CancelScope:
"""
Wraps a unit of work that can be made separately cancellable.
:param deadline: The time (clock value) when this scope is cancelled automatically
:param shield: ``True`` to shield the cancel scope from external cancellation
:raises NoEventLoopError: if no supported asynchronous event loop is running in the
current thread
"""
def __new__(
cls, *, deadline: float = math.inf, shield: bool = False
) -> CancelScope:
return get_async_backend().create_cancel_scope(shield=shield, deadline=deadline)
def cancel(self, reason: str | None = None) -> None:
"""
Cancel this scope immediately.
:param reason: a message describing the reason for the cancellation
"""
raise NotImplementedError
@property
def deadline(self) -> float:
"""
The time (clock value) when this scope is cancelled automatically.
Will be ``float('inf')`` if no timeout has been set.
"""
raise NotImplementedError
@deadline.setter
def deadline(self, value: float) -> None:
raise NotImplementedError
@property
def cancel_called(self) -> bool:
"""``True`` if :meth:`cancel` has been called."""
raise NotImplementedError
@property
def cancelled_caught(self) -> bool:
"""
``True`` if this scope suppressed a cancellation exception it itself raised.
This is typically used to check if any work was interrupted, or to see if the
scope was cancelled due to its deadline being reached. The value will, however,
only be ``True`` if the cancellation was triggered by the scope itself (and not
an outer scope).
"""
raise NotImplementedError
@property
def shield(self) -> bool:
"""
``True`` if this scope is shielded from external cancellation.
While a scope is shielded, it will not receive cancellations from outside.
"""
raise NotImplementedError
@shield.setter
def shield(self, value: bool) -> None:
raise NotImplementedError
def __enter__(self) -> CancelScope:
raise NotImplementedError
def __exit__(
self,
exc_type: type[BaseException] | None,
exc_val: BaseException | None,
exc_tb: TracebackType | None,
) -> bool:
raise NotImplementedError
@contextmanager
def fail_after(
delay: float | None, shield: bool = False
) -> Generator[CancelScope, None, None]:
"""
Create a context manager which raises a :class:`TimeoutError` if does not finish in
time.
:param delay: maximum allowed time (in seconds) before raising the exception, or
``None`` to disable the timeout
:param shield: ``True`` to shield the cancel scope from external cancellation
:return: a context manager that yields a cancel scope
:rtype: :class:`~typing.ContextManager`\\[:class:`~anyio.CancelScope`\\]
:raises NoEventLoopError: if no supported asynchronous event loop is running in the
current thread
"""
current_time = get_async_backend().current_time
deadline = (current_time() + delay) if delay is not None else math.inf
with get_async_backend().create_cancel_scope(
deadline=deadline, shield=shield
) as cancel_scope:
yield cancel_scope
if cancel_scope.cancelled_caught and current_time() >= cancel_scope.deadline:
raise TimeoutError
def move_on_after(delay: float | None, shield: bool = False) -> CancelScope:
"""
Create a cancel scope with a deadline that expires after the given delay.
:param delay: maximum allowed time (in seconds) before exiting the context block, or
``None`` to disable the timeout
:param shield: ``True`` to shield the cancel scope from external cancellation
:return: a cancel scope
:raises NoEventLoopError: if no supported asynchronous event loop is running in the
current thread
"""
deadline = (
(get_async_backend().current_time() + delay) if delay is not None else math.inf
)
return get_async_backend().create_cancel_scope(deadline=deadline, shield=shield)
def current_effective_deadline() -> float:
"""
Return the nearest deadline among all the cancel scopes effective for the current
task.
:return: a clock value from the event loop's internal clock (or ``float('inf')`` if
there is no deadline in effect, or ``float('-inf')`` if the current scope has
been cancelled)
:rtype: float
:raises NoEventLoopError: if no supported asynchronous event loop is running in the
current thread
"""
return get_async_backend().current_effective_deadline()
def create_task_group() -> TaskGroup:
"""
Create a task group.
:return: a task group
:raises NoEventLoopError: if no supported asynchronous event loop is running in the
current thread
"""
return get_async_backend().create_task_group()

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@@ -0,0 +1,616 @@
from __future__ import annotations
import os
import sys
import tempfile
from collections.abc import Iterable
from io import BytesIO, TextIOWrapper
from types import TracebackType
from typing import (
TYPE_CHECKING,
Any,
AnyStr,
Generic,
overload,
)
from .. import to_thread
from .._core._fileio import AsyncFile
from ..lowlevel import checkpoint_if_cancelled
if TYPE_CHECKING:
from _typeshed import OpenBinaryMode, OpenTextMode, ReadableBuffer, WriteableBuffer
class TemporaryFile(Generic[AnyStr]):
"""
An asynchronous temporary file that is automatically created and cleaned up.
This class provides an asynchronous context manager interface to a temporary file.
The file is created using Python's standard `tempfile.TemporaryFile` function in a
background thread, and is wrapped as an asynchronous file using `AsyncFile`.
:param mode: The mode in which the file is opened. Defaults to "w+b".
:param buffering: The buffering policy (-1 means the default buffering).
:param encoding: The encoding used to decode or encode the file. Only applicable in
text mode.
:param newline: Controls how universal newlines mode works (only applicable in text
mode).
:param suffix: The suffix for the temporary file name.
:param prefix: The prefix for the temporary file name.
:param dir: The directory in which the temporary file is created.
:param errors: The error handling scheme used for encoding/decoding errors.
"""
_async_file: AsyncFile[AnyStr]
@overload
def __init__(
self: TemporaryFile[bytes],
mode: OpenBinaryMode = ...,
buffering: int = ...,
encoding: str | None = ...,
newline: str | None = ...,
suffix: str | None = ...,
prefix: str | None = ...,
dir: str | None = ...,
*,
errors: str | None = ...,
): ...
@overload
def __init__(
self: TemporaryFile[str],
mode: OpenTextMode,
buffering: int = ...,
encoding: str | None = ...,
newline: str | None = ...,
suffix: str | None = ...,
prefix: str | None = ...,
dir: str | None = ...,
*,
errors: str | None = ...,
): ...
def __init__(
self,
mode: OpenTextMode | OpenBinaryMode = "w+b",
buffering: int = -1,
encoding: str | None = None,
newline: str | None = None,
suffix: str | None = None,
prefix: str | None = None,
dir: str | None = None,
*,
errors: str | None = None,
) -> None:
self.mode = mode
self.buffering = buffering
self.encoding = encoding
self.newline = newline
self.suffix: str | None = suffix
self.prefix: str | None = prefix
self.dir: str | None = dir
self.errors = errors
async def __aenter__(self) -> AsyncFile[AnyStr]:
fp = await to_thread.run_sync(
lambda: tempfile.TemporaryFile(
self.mode,
self.buffering,
self.encoding,
self.newline,
self.suffix,
self.prefix,
self.dir,
errors=self.errors,
)
)
self._async_file = AsyncFile(fp)
return self._async_file
async def __aexit__(
self,
exc_type: type[BaseException] | None,
exc_value: BaseException | None,
traceback: TracebackType | None,
) -> None:
await self._async_file.aclose()
class NamedTemporaryFile(Generic[AnyStr]):
"""
An asynchronous named temporary file that is automatically created and cleaned up.
This class provides an asynchronous context manager for a temporary file with a
visible name in the file system. It uses Python's standard
:func:`~tempfile.NamedTemporaryFile` function and wraps the file object with
:class:`AsyncFile` for asynchronous operations.
:param mode: The mode in which the file is opened. Defaults to "w+b".
:param buffering: The buffering policy (-1 means the default buffering).
:param encoding: The encoding used to decode or encode the file. Only applicable in
text mode.
:param newline: Controls how universal newlines mode works (only applicable in text
mode).
:param suffix: The suffix for the temporary file name.
:param prefix: The prefix for the temporary file name.
:param dir: The directory in which the temporary file is created.
:param delete: Whether to delete the file when it is closed.
:param errors: The error handling scheme used for encoding/decoding errors.
:param delete_on_close: (Python 3.12+) Whether to delete the file on close.
"""
_async_file: AsyncFile[AnyStr]
@overload
def __init__(
self: NamedTemporaryFile[bytes],
mode: OpenBinaryMode = ...,
buffering: int = ...,
encoding: str | None = ...,
newline: str | None = ...,
suffix: str | None = ...,
prefix: str | None = ...,
dir: str | None = ...,
delete: bool = ...,
*,
errors: str | None = ...,
delete_on_close: bool = ...,
): ...
@overload
def __init__(
self: NamedTemporaryFile[str],
mode: OpenTextMode,
buffering: int = ...,
encoding: str | None = ...,
newline: str | None = ...,
suffix: str | None = ...,
prefix: str | None = ...,
dir: str | None = ...,
delete: bool = ...,
*,
errors: str | None = ...,
delete_on_close: bool = ...,
): ...
def __init__(
self,
mode: OpenBinaryMode | OpenTextMode = "w+b",
buffering: int = -1,
encoding: str | None = None,
newline: str | None = None,
suffix: str | None = None,
prefix: str | None = None,
dir: str | None = None,
delete: bool = True,
*,
errors: str | None = None,
delete_on_close: bool = True,
) -> None:
self._params: dict[str, Any] = {
"mode": mode,
"buffering": buffering,
"encoding": encoding,
"newline": newline,
"suffix": suffix,
"prefix": prefix,
"dir": dir,
"delete": delete,
"errors": errors,
}
if sys.version_info >= (3, 12):
self._params["delete_on_close"] = delete_on_close
async def __aenter__(self) -> AsyncFile[AnyStr]:
fp = await to_thread.run_sync(
lambda: tempfile.NamedTemporaryFile(**self._params)
)
self._async_file = AsyncFile(fp)
return self._async_file
async def __aexit__(
self,
exc_type: type[BaseException] | None,
exc_value: BaseException | None,
traceback: TracebackType | None,
) -> None:
await self._async_file.aclose()
class SpooledTemporaryFile(AsyncFile[AnyStr]):
"""
An asynchronous spooled temporary file that starts in memory and is spooled to disk.
This class provides an asynchronous interface to a spooled temporary file, much like
Python's standard :class:`~tempfile.SpooledTemporaryFile`. It supports asynchronous
write operations and provides a method to force a rollover to disk.
:param max_size: Maximum size in bytes before the file is rolled over to disk.
:param mode: The mode in which the file is opened. Defaults to "w+b".
:param buffering: The buffering policy (-1 means the default buffering).
:param encoding: The encoding used to decode or encode the file (text mode only).
:param newline: Controls how universal newlines mode works (text mode only).
:param suffix: The suffix for the temporary file name.
:param prefix: The prefix for the temporary file name.
:param dir: The directory in which the temporary file is created.
:param errors: The error handling scheme used for encoding/decoding errors.
"""
_rolled: bool = False
@overload
def __init__(
self: SpooledTemporaryFile[bytes],
max_size: int = ...,
mode: OpenBinaryMode = ...,
buffering: int = ...,
encoding: str | None = ...,
newline: str | None = ...,
suffix: str | None = ...,
prefix: str | None = ...,
dir: str | None = ...,
*,
errors: str | None = ...,
): ...
@overload
def __init__(
self: SpooledTemporaryFile[str],
max_size: int = ...,
mode: OpenTextMode = ...,
buffering: int = ...,
encoding: str | None = ...,
newline: str | None = ...,
suffix: str | None = ...,
prefix: str | None = ...,
dir: str | None = ...,
*,
errors: str | None = ...,
): ...
def __init__(
self,
max_size: int = 0,
mode: OpenBinaryMode | OpenTextMode = "w+b",
buffering: int = -1,
encoding: str | None = None,
newline: str | None = None,
suffix: str | None = None,
prefix: str | None = None,
dir: str | None = None,
*,
errors: str | None = None,
) -> None:
self._tempfile_params: dict[str, Any] = {
"mode": mode,
"buffering": buffering,
"encoding": encoding,
"newline": newline,
"suffix": suffix,
"prefix": prefix,
"dir": dir,
"errors": errors,
}
self._max_size = max_size
if "b" in mode:
super().__init__(BytesIO()) # type: ignore[arg-type]
else:
super().__init__(
TextIOWrapper( # type: ignore[arg-type]
BytesIO(),
encoding=encoding,
errors=errors,
newline=newline,
write_through=True,
)
)
async def aclose(self) -> None:
if not self._rolled:
self._fp.close()
return
await super().aclose()
async def _check(self) -> None:
if self._rolled or self._fp.tell() <= self._max_size:
return
await self.rollover()
async def rollover(self) -> None:
if self._rolled:
return
self._rolled = True
buffer = self._fp
buffer.seek(0)
self._fp = await to_thread.run_sync(
lambda: tempfile.TemporaryFile(**self._tempfile_params)
)
await self.write(buffer.read())
buffer.close()
@property
def closed(self) -> bool:
return self._fp.closed
async def read(self, size: int = -1) -> AnyStr:
if not self._rolled:
await checkpoint_if_cancelled()
return self._fp.read(size)
return await super().read(size) # type: ignore[return-value]
async def read1(self: SpooledTemporaryFile[bytes], size: int = -1) -> bytes:
if not self._rolled:
await checkpoint_if_cancelled()
return self._fp.read1(size)
return await super().read1(size)
async def readline(self) -> AnyStr:
if not self._rolled:
await checkpoint_if_cancelled()
return self._fp.readline()
return await super().readline() # type: ignore[return-value]
async def readlines(self) -> list[AnyStr]:
if not self._rolled:
await checkpoint_if_cancelled()
return self._fp.readlines()
return await super().readlines() # type: ignore[return-value]
async def readinto(self: SpooledTemporaryFile[bytes], b: WriteableBuffer) -> int:
if not self._rolled:
await checkpoint_if_cancelled()
self._fp.readinto(b)
return await super().readinto(b)
async def readinto1(self: SpooledTemporaryFile[bytes], b: WriteableBuffer) -> int:
if not self._rolled:
await checkpoint_if_cancelled()
self._fp.readinto(b)
return await super().readinto1(b)
async def seek(self, offset: int, whence: int | None = os.SEEK_SET) -> int:
if not self._rolled:
await checkpoint_if_cancelled()
return self._fp.seek(offset, whence)
return await super().seek(offset, whence)
async def tell(self) -> int:
if not self._rolled:
await checkpoint_if_cancelled()
return self._fp.tell()
return await super().tell()
async def truncate(self, size: int | None = None) -> int:
if not self._rolled:
await checkpoint_if_cancelled()
return self._fp.truncate(size)
return await super().truncate(size)
@overload
async def write(self: SpooledTemporaryFile[bytes], b: ReadableBuffer) -> int: ...
@overload
async def write(self: SpooledTemporaryFile[str], b: str) -> int: ...
async def write(self, b: ReadableBuffer | str) -> int:
"""
Asynchronously write data to the spooled temporary file.
If the file has not yet been rolled over, the data is written synchronously,
and a rollover is triggered if the size exceeds the maximum size.
:param s: The data to write.
:return: The number of bytes written.
:raises RuntimeError: If the underlying file is not initialized.
"""
if not self._rolled:
await checkpoint_if_cancelled()
result = self._fp.write(b)
await self._check()
return result
return await super().write(b) # type: ignore[misc]
@overload
async def writelines(
self: SpooledTemporaryFile[bytes], lines: Iterable[ReadableBuffer]
) -> None: ...
@overload
async def writelines(
self: SpooledTemporaryFile[str], lines: Iterable[str]
) -> None: ...
async def writelines(self, lines: Iterable[str] | Iterable[ReadableBuffer]) -> None:
"""
Asynchronously write a list of lines to the spooled temporary file.
If the file has not yet been rolled over, the lines are written synchronously,
and a rollover is triggered if the size exceeds the maximum size.
:param lines: An iterable of lines to write.
:raises RuntimeError: If the underlying file is not initialized.
"""
if not self._rolled:
await checkpoint_if_cancelled()
result = self._fp.writelines(lines)
await self._check()
return result
return await super().writelines(lines) # type: ignore[misc]
class TemporaryDirectory(Generic[AnyStr]):
"""
An asynchronous temporary directory that is created and cleaned up automatically.
This class provides an asynchronous context manager for creating a temporary
directory. It wraps Python's standard :class:`~tempfile.TemporaryDirectory` to
perform directory creation and cleanup operations in a background thread.
:param suffix: Suffix to be added to the temporary directory name.
:param prefix: Prefix to be added to the temporary directory name.
:param dir: The parent directory where the temporary directory is created.
:param ignore_cleanup_errors: Whether to ignore errors during cleanup
(Python 3.10+).
:param delete: Whether to delete the directory upon closing (Python 3.12+).
"""
def __init__(
self,
suffix: AnyStr | None = None,
prefix: AnyStr | None = None,
dir: AnyStr | None = None,
*,
ignore_cleanup_errors: bool = False,
delete: bool = True,
) -> None:
self.suffix: AnyStr | None = suffix
self.prefix: AnyStr | None = prefix
self.dir: AnyStr | None = dir
self.ignore_cleanup_errors = ignore_cleanup_errors
self.delete = delete
self._tempdir: tempfile.TemporaryDirectory | None = None
async def __aenter__(self) -> str:
params: dict[str, Any] = {
"suffix": self.suffix,
"prefix": self.prefix,
"dir": self.dir,
}
if sys.version_info >= (3, 10):
params["ignore_cleanup_errors"] = self.ignore_cleanup_errors
if sys.version_info >= (3, 12):
params["delete"] = self.delete
self._tempdir = await to_thread.run_sync(
lambda: tempfile.TemporaryDirectory(**params)
)
return await to_thread.run_sync(self._tempdir.__enter__)
async def __aexit__(
self,
exc_type: type[BaseException] | None,
exc_value: BaseException | None,
traceback: TracebackType | None,
) -> None:
if self._tempdir is not None:
await to_thread.run_sync(
self._tempdir.__exit__, exc_type, exc_value, traceback
)
async def cleanup(self) -> None:
if self._tempdir is not None:
await to_thread.run_sync(self._tempdir.cleanup)
@overload
async def mkstemp(
suffix: str | None = None,
prefix: str | None = None,
dir: str | None = None,
text: bool = False,
) -> tuple[int, str]: ...
@overload
async def mkstemp(
suffix: bytes | None = None,
prefix: bytes | None = None,
dir: bytes | None = None,
text: bool = False,
) -> tuple[int, bytes]: ...
async def mkstemp(
suffix: AnyStr | None = None,
prefix: AnyStr | None = None,
dir: AnyStr | None = None,
text: bool = False,
) -> tuple[int, str | bytes]:
"""
Asynchronously create a temporary file and return an OS-level handle and the file
name.
This function wraps `tempfile.mkstemp` and executes it in a background thread.
:param suffix: Suffix to be added to the file name.
:param prefix: Prefix to be added to the file name.
:param dir: Directory in which the temporary file is created.
:param text: Whether the file is opened in text mode.
:return: A tuple containing the file descriptor and the file name.
"""
return await to_thread.run_sync(tempfile.mkstemp, suffix, prefix, dir, text)
@overload
async def mkdtemp(
suffix: str | None = None,
prefix: str | None = None,
dir: str | None = None,
) -> str: ...
@overload
async def mkdtemp(
suffix: bytes | None = None,
prefix: bytes | None = None,
dir: bytes | None = None,
) -> bytes: ...
async def mkdtemp(
suffix: AnyStr | None = None,
prefix: AnyStr | None = None,
dir: AnyStr | None = None,
) -> str | bytes:
"""
Asynchronously create a temporary directory and return its path.
This function wraps `tempfile.mkdtemp` and executes it in a background thread.
:param suffix: Suffix to be added to the directory name.
:param prefix: Prefix to be added to the directory name.
:param dir: Parent directory where the temporary directory is created.
:return: The path of the created temporary directory.
"""
return await to_thread.run_sync(tempfile.mkdtemp, suffix, prefix, dir)
async def gettempdir() -> str:
"""
Asynchronously return the name of the directory used for temporary files.
This function wraps `tempfile.gettempdir` and executes it in a background thread.
:return: The path of the temporary directory as a string.
"""
return await to_thread.run_sync(tempfile.gettempdir)
async def gettempdirb() -> bytes:
"""
Asynchronously return the name of the directory used for temporary files in bytes.
This function wraps `tempfile.gettempdirb` and executes it in a background thread.
:return: The path of the temporary directory as bytes.
"""
return await to_thread.run_sync(tempfile.gettempdirb)

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from __future__ import annotations
from collections.abc import Awaitable, Generator
from typing import Any, cast
from ._eventloop import get_async_backend
class TaskInfo:
"""
Represents an asynchronous task.
:ivar int id: the unique identifier of the task
:ivar parent_id: the identifier of the parent task, if any
:vartype parent_id: Optional[int]
:ivar str name: the description of the task (if any)
:ivar ~collections.abc.Coroutine coro: the coroutine object of the task
"""
__slots__ = "_name", "id", "parent_id", "name", "coro"
def __init__(
self,
id: int,
parent_id: int | None,
name: str | None,
coro: Generator[Any, Any, Any] | Awaitable[Any],
):
func = get_current_task
self._name = f"{func.__module__}.{func.__qualname__}"
self.id: int = id
self.parent_id: int | None = parent_id
self.name: str | None = name
self.coro: Generator[Any, Any, Any] | Awaitable[Any] = coro
def __eq__(self, other: object) -> bool:
if isinstance(other, TaskInfo):
return self.id == other.id
return NotImplemented
def __hash__(self) -> int:
return hash(self.id)
def __repr__(self) -> str:
return f"{self.__class__.__name__}(id={self.id!r}, name={self.name!r})"
def has_pending_cancellation(self) -> bool:
"""
Return ``True`` if the task has a cancellation pending, ``False`` otherwise.
"""
return False
def get_current_task() -> TaskInfo:
"""
Return the current task.
:return: a representation of the current task
:raises NoEventLoopError: if no supported asynchronous event loop is running in the
current thread
"""
return get_async_backend().get_current_task()
def get_running_tasks() -> list[TaskInfo]:
"""
Return a list of running tasks in the current event loop.
:return: a list of task info objects
:raises NoEventLoopError: if no supported asynchronous event loop is running in the
current thread
"""
return cast("list[TaskInfo]", get_async_backend().get_running_tasks())
async def wait_all_tasks_blocked() -> None:
"""Wait until all other tasks are waiting for something."""
await get_async_backend().wait_all_tasks_blocked()

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from __future__ import annotations
from collections.abc import Callable, Mapping
from typing import Any, TypeVar, final, overload
from ._exceptions import TypedAttributeLookupError
T_Attr = TypeVar("T_Attr")
T_Default = TypeVar("T_Default")
undefined = object()
def typed_attribute() -> Any:
"""Return a unique object, used to mark typed attributes."""
return object()
class TypedAttributeSet:
"""
Superclass for typed attribute collections.
Checks that every public attribute of every subclass has a type annotation.
"""
def __init_subclass__(cls) -> None:
annotations: dict[str, Any] = getattr(cls, "__annotations__", {})
for attrname in dir(cls):
if not attrname.startswith("_") and attrname not in annotations:
raise TypeError(
f"Attribute {attrname!r} is missing its type annotation"
)
super().__init_subclass__()
class TypedAttributeProvider:
"""Base class for classes that wish to provide typed extra attributes."""
@property
def extra_attributes(self) -> Mapping[T_Attr, Callable[[], T_Attr]]:
"""
A mapping of the extra attributes to callables that return the corresponding
values.
If the provider wraps another provider, the attributes from that wrapper should
also be included in the returned mapping (but the wrapper may override the
callables from the wrapped instance).
"""
return {}
@overload
def extra(self, attribute: T_Attr) -> T_Attr: ...
@overload
def extra(self, attribute: T_Attr, default: T_Default) -> T_Attr | T_Default: ...
@final
def extra(self, attribute: Any, default: object = undefined) -> object:
"""
extra(attribute, default=undefined)
Return the value of the given typed extra attribute.
:param attribute: the attribute (member of a :class:`~TypedAttributeSet`) to
look for
:param default: the value that should be returned if no value is found for the
attribute
:raises ~anyio.TypedAttributeLookupError: if the search failed and no default
value was given
"""
try:
getter = self.extra_attributes[attribute]
except KeyError:
if default is undefined:
raise TypedAttributeLookupError("Attribute not found") from None
else:
return default
return getter()

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from __future__ import annotations
from ._eventloop import AsyncBackend as AsyncBackend
from ._resources import AsyncResource as AsyncResource
from ._sockets import ConnectedUDPSocket as ConnectedUDPSocket
from ._sockets import ConnectedUNIXDatagramSocket as ConnectedUNIXDatagramSocket
from ._sockets import IPAddressType as IPAddressType
from ._sockets import IPSockAddrType as IPSockAddrType
from ._sockets import SocketAttribute as SocketAttribute
from ._sockets import SocketListener as SocketListener
from ._sockets import SocketStream as SocketStream
from ._sockets import UDPPacketType as UDPPacketType
from ._sockets import UDPSocket as UDPSocket
from ._sockets import UNIXDatagramPacketType as UNIXDatagramPacketType
from ._sockets import UNIXDatagramSocket as UNIXDatagramSocket
from ._sockets import UNIXSocketStream as UNIXSocketStream
from ._streams import AnyByteReceiveStream as AnyByteReceiveStream
from ._streams import AnyByteSendStream as AnyByteSendStream
from ._streams import AnyByteStream as AnyByteStream
from ._streams import AnyByteStreamConnectable as AnyByteStreamConnectable
from ._streams import AnyUnreliableByteReceiveStream as AnyUnreliableByteReceiveStream
from ._streams import AnyUnreliableByteSendStream as AnyUnreliableByteSendStream
from ._streams import AnyUnreliableByteStream as AnyUnreliableByteStream
from ._streams import ByteReceiveStream as ByteReceiveStream
from ._streams import ByteSendStream as ByteSendStream
from ._streams import ByteStream as ByteStream
from ._streams import ByteStreamConnectable as ByteStreamConnectable
from ._streams import Listener as Listener
from ._streams import ObjectReceiveStream as ObjectReceiveStream
from ._streams import ObjectSendStream as ObjectSendStream
from ._streams import ObjectStream as ObjectStream
from ._streams import ObjectStreamConnectable as ObjectStreamConnectable
from ._streams import UnreliableObjectReceiveStream as UnreliableObjectReceiveStream
from ._streams import UnreliableObjectSendStream as UnreliableObjectSendStream
from ._streams import UnreliableObjectStream as UnreliableObjectStream
from ._subprocesses import Process as Process
from ._tasks import TaskGroup as TaskGroup
from ._tasks import TaskStatus as TaskStatus
from ._testing import TestRunner as TestRunner
# Re-exported here, for backwards compatibility
# isort: off
from .._core._synchronization import (
CapacityLimiter as CapacityLimiter,
Condition as Condition,
Event as Event,
Lock as Lock,
Semaphore as Semaphore,
)
from .._core._tasks import CancelScope as CancelScope
from ..from_thread import BlockingPortal as BlockingPortal
# Re-export imports so they look like they live directly in this package
for __value in list(locals().values()):
if getattr(__value, "__module__", "").startswith("anyio.abc."):
__value.__module__ = __name__
del __value

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@@ -0,0 +1,414 @@
from __future__ import annotations
import math
import sys
from abc import ABCMeta, abstractmethod
from collections.abc import AsyncIterator, Awaitable, Callable, Sequence
from contextlib import AbstractContextManager
from os import PathLike
from signal import Signals
from socket import AddressFamily, SocketKind, socket
from typing import (
IO,
TYPE_CHECKING,
Any,
TypeVar,
Union,
overload,
)
if sys.version_info >= (3, 11):
from typing import TypeVarTuple, Unpack
else:
from typing_extensions import TypeVarTuple, Unpack
if sys.version_info >= (3, 10):
from typing import TypeAlias
else:
from typing_extensions import TypeAlias
if TYPE_CHECKING:
from _typeshed import FileDescriptorLike
from .._core._synchronization import CapacityLimiter, Event, Lock, Semaphore
from .._core._tasks import CancelScope
from .._core._testing import TaskInfo
from ._sockets import (
ConnectedUDPSocket,
ConnectedUNIXDatagramSocket,
IPSockAddrType,
SocketListener,
SocketStream,
UDPSocket,
UNIXDatagramSocket,
UNIXSocketStream,
)
from ._subprocesses import Process
from ._tasks import TaskGroup
from ._testing import TestRunner
T_Retval = TypeVar("T_Retval")
PosArgsT = TypeVarTuple("PosArgsT")
StrOrBytesPath: TypeAlias = Union[str, bytes, "PathLike[str]", "PathLike[bytes]"]
class AsyncBackend(metaclass=ABCMeta):
@classmethod
@abstractmethod
def run(
cls,
func: Callable[[Unpack[PosArgsT]], Awaitable[T_Retval]],
args: tuple[Unpack[PosArgsT]],
kwargs: dict[str, Any],
options: dict[str, Any],
) -> T_Retval:
"""
Run the given coroutine function in an asynchronous event loop.
The current thread must not be already running an event loop.
:param func: a coroutine function
:param args: positional arguments to ``func``
:param kwargs: positional arguments to ``func``
:param options: keyword arguments to call the backend ``run()`` implementation
with
:return: the return value of the coroutine function
"""
@classmethod
@abstractmethod
def current_token(cls) -> object:
"""
Return an object that allows other threads to run code inside the event loop.
:return: a token object, specific to the event loop running in the current
thread
"""
@classmethod
@abstractmethod
def current_time(cls) -> float:
"""
Return the current value of the event loop's internal clock.
:return: the clock value (seconds)
"""
@classmethod
@abstractmethod
def cancelled_exception_class(cls) -> type[BaseException]:
"""Return the exception class that is raised in a task if it's cancelled."""
@classmethod
@abstractmethod
async def checkpoint(cls) -> None:
"""
Check if the task has been cancelled, and allow rescheduling of other tasks.
This is effectively the same as running :meth:`checkpoint_if_cancelled` and then
:meth:`cancel_shielded_checkpoint`.
"""
@classmethod
async def checkpoint_if_cancelled(cls) -> None:
"""
Check if the current task group has been cancelled.
This will check if the task has been cancelled, but will not allow other tasks
to be scheduled if not.
"""
if cls.current_effective_deadline() == -math.inf:
await cls.checkpoint()
@classmethod
async def cancel_shielded_checkpoint(cls) -> None:
"""
Allow the rescheduling of other tasks.
This will give other tasks the opportunity to run, but without checking if the
current task group has been cancelled, unlike with :meth:`checkpoint`.
"""
with cls.create_cancel_scope(shield=True):
await cls.sleep(0)
@classmethod
@abstractmethod
async def sleep(cls, delay: float) -> None:
"""
Pause the current task for the specified duration.
:param delay: the duration, in seconds
"""
@classmethod
@abstractmethod
def create_cancel_scope(
cls, *, deadline: float = math.inf, shield: bool = False
) -> CancelScope:
pass
@classmethod
@abstractmethod
def current_effective_deadline(cls) -> float:
"""
Return the nearest deadline among all the cancel scopes effective for the
current task.
:return:
- a clock value from the event loop's internal clock
- ``inf`` if there is no deadline in effect
- ``-inf`` if the current scope has been cancelled
:rtype: float
"""
@classmethod
@abstractmethod
def create_task_group(cls) -> TaskGroup:
pass
@classmethod
@abstractmethod
def create_event(cls) -> Event:
pass
@classmethod
@abstractmethod
def create_lock(cls, *, fast_acquire: bool) -> Lock:
pass
@classmethod
@abstractmethod
def create_semaphore(
cls,
initial_value: int,
*,
max_value: int | None = None,
fast_acquire: bool = False,
) -> Semaphore:
pass
@classmethod
@abstractmethod
def create_capacity_limiter(cls, total_tokens: float) -> CapacityLimiter:
pass
@classmethod
@abstractmethod
async def run_sync_in_worker_thread(
cls,
func: Callable[[Unpack[PosArgsT]], T_Retval],
args: tuple[Unpack[PosArgsT]],
abandon_on_cancel: bool = False,
limiter: CapacityLimiter | None = None,
) -> T_Retval:
pass
@classmethod
@abstractmethod
def check_cancelled(cls) -> None:
pass
@classmethod
@abstractmethod
def run_async_from_thread(
cls,
func: Callable[[Unpack[PosArgsT]], Awaitable[T_Retval]],
args: tuple[Unpack[PosArgsT]],
token: object,
) -> T_Retval:
pass
@classmethod
@abstractmethod
def run_sync_from_thread(
cls,
func: Callable[[Unpack[PosArgsT]], T_Retval],
args: tuple[Unpack[PosArgsT]],
token: object,
) -> T_Retval:
pass
@classmethod
@abstractmethod
async def open_process(
cls,
command: StrOrBytesPath | Sequence[StrOrBytesPath],
*,
stdin: int | IO[Any] | None,
stdout: int | IO[Any] | None,
stderr: int | IO[Any] | None,
**kwargs: Any,
) -> Process:
pass
@classmethod
@abstractmethod
def setup_process_pool_exit_at_shutdown(cls, workers: set[Process]) -> None:
pass
@classmethod
@abstractmethod
async def connect_tcp(
cls, host: str, port: int, local_address: IPSockAddrType | None = None
) -> SocketStream:
pass
@classmethod
@abstractmethod
async def connect_unix(cls, path: str | bytes) -> UNIXSocketStream:
pass
@classmethod
@abstractmethod
def create_tcp_listener(cls, sock: socket) -> SocketListener:
pass
@classmethod
@abstractmethod
def create_unix_listener(cls, sock: socket) -> SocketListener:
pass
@classmethod
@abstractmethod
async def create_udp_socket(
cls,
family: AddressFamily,
local_address: IPSockAddrType | None,
remote_address: IPSockAddrType | None,
reuse_port: bool,
) -> UDPSocket | ConnectedUDPSocket:
pass
@classmethod
@overload
async def create_unix_datagram_socket(
cls, raw_socket: socket, remote_path: None
) -> UNIXDatagramSocket: ...
@classmethod
@overload
async def create_unix_datagram_socket(
cls, raw_socket: socket, remote_path: str | bytes
) -> ConnectedUNIXDatagramSocket: ...
@classmethod
@abstractmethod
async def create_unix_datagram_socket(
cls, raw_socket: socket, remote_path: str | bytes | None
) -> UNIXDatagramSocket | ConnectedUNIXDatagramSocket:
pass
@classmethod
@abstractmethod
async def getaddrinfo(
cls,
host: bytes | str | None,
port: str | int | None,
*,
family: int | AddressFamily = 0,
type: int | SocketKind = 0,
proto: int = 0,
flags: int = 0,
) -> Sequence[
tuple[
AddressFamily,
SocketKind,
int,
str,
tuple[str, int] | tuple[str, int, int, int] | tuple[int, bytes],
]
]:
pass
@classmethod
@abstractmethod
async def getnameinfo(
cls, sockaddr: IPSockAddrType, flags: int = 0
) -> tuple[str, str]:
pass
@classmethod
@abstractmethod
async def wait_readable(cls, obj: FileDescriptorLike) -> None:
pass
@classmethod
@abstractmethod
async def wait_writable(cls, obj: FileDescriptorLike) -> None:
pass
@classmethod
@abstractmethod
def notify_closing(cls, obj: FileDescriptorLike) -> None:
pass
@classmethod
@abstractmethod
async def wrap_listener_socket(cls, sock: socket) -> SocketListener:
pass
@classmethod
@abstractmethod
async def wrap_stream_socket(cls, sock: socket) -> SocketStream:
pass
@classmethod
@abstractmethod
async def wrap_unix_stream_socket(cls, sock: socket) -> UNIXSocketStream:
pass
@classmethod
@abstractmethod
async def wrap_udp_socket(cls, sock: socket) -> UDPSocket:
pass
@classmethod
@abstractmethod
async def wrap_connected_udp_socket(cls, sock: socket) -> ConnectedUDPSocket:
pass
@classmethod
@abstractmethod
async def wrap_unix_datagram_socket(cls, sock: socket) -> UNIXDatagramSocket:
pass
@classmethod
@abstractmethod
async def wrap_connected_unix_datagram_socket(
cls, sock: socket
) -> ConnectedUNIXDatagramSocket:
pass
@classmethod
@abstractmethod
def current_default_thread_limiter(cls) -> CapacityLimiter:
pass
@classmethod
@abstractmethod
def open_signal_receiver(
cls, *signals: Signals
) -> AbstractContextManager[AsyncIterator[Signals]]:
pass
@classmethod
@abstractmethod
def get_current_task(cls) -> TaskInfo:
pass
@classmethod
@abstractmethod
def get_running_tasks(cls) -> Sequence[TaskInfo]:
pass
@classmethod
@abstractmethod
async def wait_all_tasks_blocked(cls) -> None:
pass
@classmethod
@abstractmethod
def create_test_runner(cls, options: dict[str, Any]) -> TestRunner:
pass

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from __future__ import annotations
from abc import ABCMeta, abstractmethod
from types import TracebackType
from typing import TypeVar
T = TypeVar("T")
class AsyncResource(metaclass=ABCMeta):
"""
Abstract base class for all closeable asynchronous resources.
Works as an asynchronous context manager which returns the instance itself on enter,
and calls :meth:`aclose` on exit.
"""
__slots__ = ()
async def __aenter__(self: T) -> T:
return self
async def __aexit__(
self,
exc_type: type[BaseException] | None,
exc_val: BaseException | None,
exc_tb: TracebackType | None,
) -> None:
await self.aclose()
@abstractmethod
async def aclose(self) -> None:
"""Close the resource."""

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from __future__ import annotations
import errno
import socket
import sys
from abc import abstractmethod
from collections.abc import Callable, Collection, Mapping
from contextlib import AsyncExitStack
from io import IOBase
from ipaddress import IPv4Address, IPv6Address
from socket import AddressFamily
from typing import Any, TypeVar, Union
from .._core._eventloop import get_async_backend
from .._core._typedattr import (
TypedAttributeProvider,
TypedAttributeSet,
typed_attribute,
)
from ._streams import ByteStream, Listener, UnreliableObjectStream
from ._tasks import TaskGroup
if sys.version_info >= (3, 10):
from typing import TypeAlias
else:
from typing_extensions import TypeAlias
IPAddressType: TypeAlias = Union[str, IPv4Address, IPv6Address]
IPSockAddrType: TypeAlias = tuple[str, int]
SockAddrType: TypeAlias = Union[IPSockAddrType, str]
UDPPacketType: TypeAlias = tuple[bytes, IPSockAddrType]
UNIXDatagramPacketType: TypeAlias = tuple[bytes, str]
T_Retval = TypeVar("T_Retval")
def _validate_socket(
sock_or_fd: socket.socket | int,
sock_type: socket.SocketKind,
addr_family: socket.AddressFamily = socket.AF_UNSPEC,
*,
require_connected: bool = False,
require_bound: bool = False,
) -> socket.socket:
if isinstance(sock_or_fd, int):
try:
sock = socket.socket(fileno=sock_or_fd)
except OSError as exc:
if exc.errno == errno.ENOTSOCK:
raise ValueError(
"the file descriptor does not refer to a socket"
) from exc
elif require_connected:
raise ValueError("the socket must be connected") from exc
elif require_bound:
raise ValueError("the socket must be bound to a local address") from exc
else:
raise
elif isinstance(sock_or_fd, socket.socket):
sock = sock_or_fd
else:
raise TypeError(
f"expected an int or socket, got {type(sock_or_fd).__qualname__} instead"
)
try:
if require_connected:
try:
sock.getpeername()
except OSError as exc:
raise ValueError("the socket must be connected") from exc
if require_bound:
try:
if sock.family in (socket.AF_INET, socket.AF_INET6):
bound_addr = sock.getsockname()[1]
else:
bound_addr = sock.getsockname()
except OSError:
bound_addr = None
if not bound_addr:
raise ValueError("the socket must be bound to a local address")
if addr_family != socket.AF_UNSPEC and sock.family != addr_family:
raise ValueError(
f"address family mismatch: expected {addr_family.name}, got "
f"{sock.family.name}"
)
if sock.type != sock_type:
raise ValueError(
f"socket type mismatch: expected {sock_type.name}, got {sock.type.name}"
)
except BaseException:
# Avoid ResourceWarning from the locally constructed socket object
if isinstance(sock_or_fd, int):
sock.detach()
raise
sock.setblocking(False)
return sock
class SocketAttribute(TypedAttributeSet):
"""
.. attribute:: family
:type: socket.AddressFamily
the address family of the underlying socket
.. attribute:: local_address
:type: tuple[str, int] | str
the local address the underlying socket is connected to
.. attribute:: local_port
:type: int
for IP based sockets, the local port the underlying socket is bound to
.. attribute:: raw_socket
:type: socket.socket
the underlying stdlib socket object
.. attribute:: remote_address
:type: tuple[str, int] | str
the remote address the underlying socket is connected to
.. attribute:: remote_port
:type: int
for IP based sockets, the remote port the underlying socket is connected to
"""
family: AddressFamily = typed_attribute()
local_address: SockAddrType = typed_attribute()
local_port: int = typed_attribute()
raw_socket: socket.socket = typed_attribute()
remote_address: SockAddrType = typed_attribute()
remote_port: int = typed_attribute()
class _SocketProvider(TypedAttributeProvider):
@property
def extra_attributes(self) -> Mapping[Any, Callable[[], Any]]:
from .._core._sockets import convert_ipv6_sockaddr as convert
attributes: dict[Any, Callable[[], Any]] = {
SocketAttribute.family: lambda: self._raw_socket.family,
SocketAttribute.local_address: lambda: convert(
self._raw_socket.getsockname()
),
SocketAttribute.raw_socket: lambda: self._raw_socket,
}
try:
peername: tuple[str, int] | None = convert(self._raw_socket.getpeername())
except OSError:
peername = None
# Provide the remote address for connected sockets
if peername is not None:
attributes[SocketAttribute.remote_address] = lambda: peername
# Provide local and remote ports for IP based sockets
if self._raw_socket.family in (AddressFamily.AF_INET, AddressFamily.AF_INET6):
attributes[SocketAttribute.local_port] = (
lambda: self._raw_socket.getsockname()[1]
)
if peername is not None:
remote_port = peername[1]
attributes[SocketAttribute.remote_port] = lambda: remote_port
return attributes
@property
@abstractmethod
def _raw_socket(self) -> socket.socket:
pass
class SocketStream(ByteStream, _SocketProvider):
"""
Transports bytes over a socket.
Supports all relevant extra attributes from :class:`~SocketAttribute`.
"""
@classmethod
async def from_socket(cls, sock_or_fd: socket.socket | int) -> SocketStream:
"""
Wrap an existing socket object or file descriptor as a socket stream.
The newly created socket wrapper takes ownership of the socket being passed in.
The existing socket must already be connected.
:param sock_or_fd: a socket object or file descriptor
:return: a socket stream
"""
sock = _validate_socket(sock_or_fd, socket.SOCK_STREAM, require_connected=True)
return await get_async_backend().wrap_stream_socket(sock)
class UNIXSocketStream(SocketStream):
@classmethod
async def from_socket(cls, sock_or_fd: socket.socket | int) -> UNIXSocketStream:
"""
Wrap an existing socket object or file descriptor as a UNIX socket stream.
The newly created socket wrapper takes ownership of the socket being passed in.
The existing socket must already be connected.
:param sock_or_fd: a socket object or file descriptor
:return: a UNIX socket stream
"""
sock = _validate_socket(
sock_or_fd, socket.SOCK_STREAM, socket.AF_UNIX, require_connected=True
)
return await get_async_backend().wrap_unix_stream_socket(sock)
@abstractmethod
async def send_fds(self, message: bytes, fds: Collection[int | IOBase]) -> None:
"""
Send file descriptors along with a message to the peer.
:param message: a non-empty bytestring
:param fds: a collection of files (either numeric file descriptors or open file
or socket objects)
"""
@abstractmethod
async def receive_fds(self, msglen: int, maxfds: int) -> tuple[bytes, list[int]]:
"""
Receive file descriptors along with a message from the peer.
:param msglen: length of the message to expect from the peer
:param maxfds: maximum number of file descriptors to expect from the peer
:return: a tuple of (message, file descriptors)
"""
class SocketListener(Listener[SocketStream], _SocketProvider):
"""
Listens to incoming socket connections.
Supports all relevant extra attributes from :class:`~SocketAttribute`.
"""
@classmethod
async def from_socket(
cls,
sock_or_fd: socket.socket | int,
) -> SocketListener:
"""
Wrap an existing socket object or file descriptor as a socket listener.
The newly created listener takes ownership of the socket being passed in.
:param sock_or_fd: a socket object or file descriptor
:return: a socket listener
"""
sock = _validate_socket(sock_or_fd, socket.SOCK_STREAM, require_bound=True)
return await get_async_backend().wrap_listener_socket(sock)
@abstractmethod
async def accept(self) -> SocketStream:
"""Accept an incoming connection."""
async def serve(
self,
handler: Callable[[SocketStream], Any],
task_group: TaskGroup | None = None,
) -> None:
from .. import create_task_group
async with AsyncExitStack() as stack:
if task_group is None:
task_group = await stack.enter_async_context(create_task_group())
while True:
stream = await self.accept()
task_group.start_soon(handler, stream)
class UDPSocket(UnreliableObjectStream[UDPPacketType], _SocketProvider):
"""
Represents an unconnected UDP socket.
Supports all relevant extra attributes from :class:`~SocketAttribute`.
"""
@classmethod
async def from_socket(cls, sock_or_fd: socket.socket | int) -> UDPSocket:
"""
Wrap an existing socket object or file descriptor as a UDP socket.
The newly created socket wrapper takes ownership of the socket being passed in.
The existing socket must be bound to a local address.
:param sock_or_fd: a socket object or file descriptor
:return: a UDP socket
"""
sock = _validate_socket(sock_or_fd, socket.SOCK_DGRAM, require_bound=True)
return await get_async_backend().wrap_udp_socket(sock)
async def sendto(self, data: bytes, host: str, port: int) -> None:
"""
Alias for :meth:`~.UnreliableObjectSendStream.send` ((data, (host, port))).
"""
return await self.send((data, (host, port)))
class ConnectedUDPSocket(UnreliableObjectStream[bytes], _SocketProvider):
"""
Represents an connected UDP socket.
Supports all relevant extra attributes from :class:`~SocketAttribute`.
"""
@classmethod
async def from_socket(cls, sock_or_fd: socket.socket | int) -> ConnectedUDPSocket:
"""
Wrap an existing socket object or file descriptor as a connected UDP socket.
The newly created socket wrapper takes ownership of the socket being passed in.
The existing socket must already be connected.
:param sock_or_fd: a socket object or file descriptor
:return: a connected UDP socket
"""
sock = _validate_socket(
sock_or_fd,
socket.SOCK_DGRAM,
require_connected=True,
)
return await get_async_backend().wrap_connected_udp_socket(sock)
class UNIXDatagramSocket(
UnreliableObjectStream[UNIXDatagramPacketType], _SocketProvider
):
"""
Represents an unconnected Unix datagram socket.
Supports all relevant extra attributes from :class:`~SocketAttribute`.
"""
@classmethod
async def from_socket(
cls,
sock_or_fd: socket.socket | int,
) -> UNIXDatagramSocket:
"""
Wrap an existing socket object or file descriptor as a UNIX datagram
socket.
The newly created socket wrapper takes ownership of the socket being passed in.
:param sock_or_fd: a socket object or file descriptor
:return: a UNIX datagram socket
"""
sock = _validate_socket(sock_or_fd, socket.SOCK_DGRAM, socket.AF_UNIX)
return await get_async_backend().wrap_unix_datagram_socket(sock)
async def sendto(self, data: bytes, path: str) -> None:
"""Alias for :meth:`~.UnreliableObjectSendStream.send` ((data, path))."""
return await self.send((data, path))
class ConnectedUNIXDatagramSocket(UnreliableObjectStream[bytes], _SocketProvider):
"""
Represents a connected Unix datagram socket.
Supports all relevant extra attributes from :class:`~SocketAttribute`.
"""
@classmethod
async def from_socket(
cls,
sock_or_fd: socket.socket | int,
) -> ConnectedUNIXDatagramSocket:
"""
Wrap an existing socket object or file descriptor as a connected UNIX datagram
socket.
The newly created socket wrapper takes ownership of the socket being passed in.
The existing socket must already be connected.
:param sock_or_fd: a socket object or file descriptor
:return: a connected UNIX datagram socket
"""
sock = _validate_socket(
sock_or_fd, socket.SOCK_DGRAM, socket.AF_UNIX, require_connected=True
)
return await get_async_backend().wrap_connected_unix_datagram_socket(sock)

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from __future__ import annotations
import sys
from abc import ABCMeta, abstractmethod
from collections.abc import Callable
from typing import Any, Generic, TypeVar, Union
from .._core._exceptions import EndOfStream
from .._core._typedattr import TypedAttributeProvider
from ._resources import AsyncResource
from ._tasks import TaskGroup
if sys.version_info >= (3, 10):
from typing import TypeAlias
else:
from typing_extensions import TypeAlias
T_Item = TypeVar("T_Item")
T_co = TypeVar("T_co", covariant=True)
T_contra = TypeVar("T_contra", contravariant=True)
class UnreliableObjectReceiveStream(
Generic[T_co], AsyncResource, TypedAttributeProvider
):
"""
An interface for receiving objects.
This interface makes no guarantees that the received messages arrive in the order in
which they were sent, or that no messages are missed.
Asynchronously iterating over objects of this type will yield objects matching the
given type parameter.
"""
def __aiter__(self) -> UnreliableObjectReceiveStream[T_co]:
return self
async def __anext__(self) -> T_co:
try:
return await self.receive()
except EndOfStream:
raise StopAsyncIteration from None
@abstractmethod
async def receive(self) -> T_co:
"""
Receive the next item.
:raises ~anyio.ClosedResourceError: if the receive stream has been explicitly
closed
:raises ~anyio.EndOfStream: if this stream has been closed from the other end
:raises ~anyio.BrokenResourceError: if this stream has been rendered unusable
due to external causes
"""
class UnreliableObjectSendStream(
Generic[T_contra], AsyncResource, TypedAttributeProvider
):
"""
An interface for sending objects.
This interface makes no guarantees that the messages sent will reach the
recipient(s) in the same order in which they were sent, or at all.
"""
@abstractmethod
async def send(self, item: T_contra) -> None:
"""
Send an item to the peer(s).
:param item: the item to send
:raises ~anyio.ClosedResourceError: if the send stream has been explicitly
closed
:raises ~anyio.BrokenResourceError: if this stream has been rendered unusable
due to external causes
"""
class UnreliableObjectStream(
UnreliableObjectReceiveStream[T_Item], UnreliableObjectSendStream[T_Item]
):
"""
A bidirectional message stream which does not guarantee the order or reliability of
message delivery.
"""
class ObjectReceiveStream(UnreliableObjectReceiveStream[T_co]):
"""
A receive message stream which guarantees that messages are received in the same
order in which they were sent, and that no messages are missed.
"""
class ObjectSendStream(UnreliableObjectSendStream[T_contra]):
"""
A send message stream which guarantees that messages are delivered in the same order
in which they were sent, without missing any messages in the middle.
"""
class ObjectStream(
ObjectReceiveStream[T_Item],
ObjectSendStream[T_Item],
UnreliableObjectStream[T_Item],
):
"""
A bidirectional message stream which guarantees the order and reliability of message
delivery.
"""
@abstractmethod
async def send_eof(self) -> None:
"""
Send an end-of-file indication to the peer.
You should not try to send any further data to this stream after calling this
method. This method is idempotent (does nothing on successive calls).
"""
class ByteReceiveStream(AsyncResource, TypedAttributeProvider):
"""
An interface for receiving bytes from a single peer.
Iterating this byte stream will yield a byte string of arbitrary length, but no more
than 65536 bytes.
"""
def __aiter__(self) -> ByteReceiveStream:
return self
async def __anext__(self) -> bytes:
try:
return await self.receive()
except EndOfStream:
raise StopAsyncIteration from None
@abstractmethod
async def receive(self, max_bytes: int = 65536) -> bytes:
"""
Receive at most ``max_bytes`` bytes from the peer.
.. note:: Implementers of this interface should not return an empty
:class:`bytes` object, and users should ignore them.
:param max_bytes: maximum number of bytes to receive
:return: the received bytes
:raises ~anyio.EndOfStream: if this stream has been closed from the other end
"""
class ByteSendStream(AsyncResource, TypedAttributeProvider):
"""An interface for sending bytes to a single peer."""
@abstractmethod
async def send(self, item: bytes) -> None:
"""
Send the given bytes to the peer.
:param item: the bytes to send
"""
class ByteStream(ByteReceiveStream, ByteSendStream):
"""A bidirectional byte stream."""
@abstractmethod
async def send_eof(self) -> None:
"""
Send an end-of-file indication to the peer.
You should not try to send any further data to this stream after calling this
method. This method is idempotent (does nothing on successive calls).
"""
#: Type alias for all unreliable bytes-oriented receive streams.
AnyUnreliableByteReceiveStream: TypeAlias = Union[
UnreliableObjectReceiveStream[bytes], ByteReceiveStream
]
#: Type alias for all unreliable bytes-oriented send streams.
AnyUnreliableByteSendStream: TypeAlias = Union[
UnreliableObjectSendStream[bytes], ByteSendStream
]
#: Type alias for all unreliable bytes-oriented streams.
AnyUnreliableByteStream: TypeAlias = Union[UnreliableObjectStream[bytes], ByteStream]
#: Type alias for all bytes-oriented receive streams.
AnyByteReceiveStream: TypeAlias = Union[ObjectReceiveStream[bytes], ByteReceiveStream]
#: Type alias for all bytes-oriented send streams.
AnyByteSendStream: TypeAlias = Union[ObjectSendStream[bytes], ByteSendStream]
#: Type alias for all bytes-oriented streams.
AnyByteStream: TypeAlias = Union[ObjectStream[bytes], ByteStream]
class Listener(Generic[T_co], AsyncResource, TypedAttributeProvider):
"""An interface for objects that let you accept incoming connections."""
@abstractmethod
async def serve(
self, handler: Callable[[T_co], Any], task_group: TaskGroup | None = None
) -> None:
"""
Accept incoming connections as they come in and start tasks to handle them.
:param handler: a callable that will be used to handle each accepted connection
:param task_group: the task group that will be used to start tasks for handling
each accepted connection (if omitted, an ad-hoc task group will be created)
"""
class ObjectStreamConnectable(Generic[T_co], metaclass=ABCMeta):
@abstractmethod
async def connect(self) -> ObjectStream[T_co]:
"""
Connect to the remote endpoint.
:return: an object stream connected to the remote end
:raises ConnectionFailed: if the connection fails
"""
class ByteStreamConnectable(metaclass=ABCMeta):
@abstractmethod
async def connect(self) -> ByteStream:
"""
Connect to the remote endpoint.
:return: a bytestream connected to the remote end
:raises ConnectionFailed: if the connection fails
"""
#: Type alias for all connectables returning bytestreams or bytes-oriented object streams
AnyByteStreamConnectable: TypeAlias = Union[
ObjectStreamConnectable[bytes], ByteStreamConnectable
]

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from __future__ import annotations
from abc import abstractmethod
from signal import Signals
from ._resources import AsyncResource
from ._streams import ByteReceiveStream, ByteSendStream
class Process(AsyncResource):
"""An asynchronous version of :class:`subprocess.Popen`."""
@abstractmethod
async def wait(self) -> int:
"""
Wait until the process exits.
:return: the exit code of the process
"""
@abstractmethod
def terminate(self) -> None:
"""
Terminates the process, gracefully if possible.
On Windows, this calls ``TerminateProcess()``.
On POSIX systems, this sends ``SIGTERM`` to the process.
.. seealso:: :meth:`subprocess.Popen.terminate`
"""
@abstractmethod
def kill(self) -> None:
"""
Kills the process.
On Windows, this calls ``TerminateProcess()``.
On POSIX systems, this sends ``SIGKILL`` to the process.
.. seealso:: :meth:`subprocess.Popen.kill`
"""
@abstractmethod
def send_signal(self, signal: Signals) -> None:
"""
Send a signal to the subprocess.
.. seealso:: :meth:`subprocess.Popen.send_signal`
:param signal: the signal number (e.g. :data:`signal.SIGHUP`)
"""
@property
@abstractmethod
def pid(self) -> int:
"""The process ID of the process."""
@property
@abstractmethod
def returncode(self) -> int | None:
"""
The return code of the process. If the process has not yet terminated, this will
be ``None``.
"""
@property
@abstractmethod
def stdin(self) -> ByteSendStream | None:
"""The stream for the standard input of the process."""
@property
@abstractmethod
def stdout(self) -> ByteReceiveStream | None:
"""The stream for the standard output of the process."""
@property
@abstractmethod
def stderr(self) -> ByteReceiveStream | None:
"""The stream for the standard error output of the process."""

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@@ -0,0 +1,117 @@
from __future__ import annotations
import sys
from abc import ABCMeta, abstractmethod
from collections.abc import Awaitable, Callable
from types import TracebackType
from typing import TYPE_CHECKING, Any, Protocol, overload
if sys.version_info >= (3, 13):
from typing import TypeVar
else:
from typing_extensions import TypeVar
if sys.version_info >= (3, 11):
from typing import TypeVarTuple, Unpack
else:
from typing_extensions import TypeVarTuple, Unpack
if TYPE_CHECKING:
from .._core._tasks import CancelScope
T_Retval = TypeVar("T_Retval")
T_contra = TypeVar("T_contra", contravariant=True, default=None)
PosArgsT = TypeVarTuple("PosArgsT")
class TaskStatus(Protocol[T_contra]):
@overload
def started(self: TaskStatus[None]) -> None: ...
@overload
def started(self, value: T_contra) -> None: ...
def started(self, value: T_contra | None = None) -> None:
"""
Signal that the task has started.
:param value: object passed back to the starter of the task
"""
class TaskGroup(metaclass=ABCMeta):
"""
Groups several asynchronous tasks together.
:ivar cancel_scope: the cancel scope inherited by all child tasks
:vartype cancel_scope: CancelScope
.. note:: On asyncio, support for eager task factories is considered to be
**experimental**. In particular, they don't follow the usual semantics of new
tasks being scheduled on the next iteration of the event loop, and may thus
cause unexpected behavior in code that wasn't written with such semantics in
mind.
"""
cancel_scope: CancelScope
@abstractmethod
def start_soon(
self,
func: Callable[[Unpack[PosArgsT]], Awaitable[Any]],
*args: Unpack[PosArgsT],
name: object = None,
) -> None:
"""
Start a new task in this task group.
:param func: a coroutine function
:param args: positional arguments to call the function with
:param name: name of the task, for the purposes of introspection and debugging
.. versionadded:: 3.0
"""
@abstractmethod
async def start(
self,
func: Callable[..., Awaitable[Any]],
*args: object,
name: object = None,
) -> Any:
"""
Start a new task and wait until it signals for readiness.
The target callable must accept a keyword argument ``task_status`` (of type
:class:`TaskStatus`). Awaiting on this method will return whatever was passed to
``task_status.started()`` (``None`` by default).
.. note:: The :class:`TaskStatus` class is generic, and the type argument should
indicate the type of the value that will be passed to
``task_status.started()``.
:param func: a coroutine function that accepts the ``task_status`` keyword
argument
:param args: positional arguments to call the function with
:param name: an optional name for the task, for introspection and debugging
:return: the value passed to ``task_status.started()``
:raises RuntimeError: if the task finishes without calling
``task_status.started()``
.. seealso:: :ref:`start_initialize`
.. versionadded:: 3.0
"""
@abstractmethod
async def __aenter__(self) -> TaskGroup:
"""Enter the task group context and allow starting new tasks."""
@abstractmethod
async def __aexit__(
self,
exc_type: type[BaseException] | None,
exc_val: BaseException | None,
exc_tb: TracebackType | None,
) -> bool:
"""Exit the task group context waiting for all tasks to finish."""

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@@ -0,0 +1,65 @@
from __future__ import annotations
import types
from abc import ABCMeta, abstractmethod
from collections.abc import AsyncGenerator, Callable, Coroutine, Iterable
from typing import Any, TypeVar
_T = TypeVar("_T")
class TestRunner(metaclass=ABCMeta):
"""
Encapsulates a running event loop. Every call made through this object will use the
same event loop.
"""
def __enter__(self) -> TestRunner:
return self
@abstractmethod
def __exit__(
self,
exc_type: type[BaseException] | None,
exc_val: BaseException | None,
exc_tb: types.TracebackType | None,
) -> bool | None: ...
@abstractmethod
def run_asyncgen_fixture(
self,
fixture_func: Callable[..., AsyncGenerator[_T, Any]],
kwargs: dict[str, Any],
) -> Iterable[_T]:
"""
Run an async generator fixture.
:param fixture_func: the fixture function
:param kwargs: keyword arguments to call the fixture function with
:return: an iterator yielding the value yielded from the async generator
"""
@abstractmethod
def run_fixture(
self,
fixture_func: Callable[..., Coroutine[Any, Any, _T]],
kwargs: dict[str, Any],
) -> _T:
"""
Run an async fixture.
:param fixture_func: the fixture function
:param kwargs: keyword arguments to call the fixture function with
:return: the return value of the fixture function
"""
@abstractmethod
def run_test(
self, test_func: Callable[..., Coroutine[Any, Any, Any]], kwargs: dict[str, Any]
) -> None:
"""
Run an async test function.
:param test_func: the test function
:param kwargs: keyword arguments to call the test function with
"""

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@@ -0,0 +1,578 @@
from __future__ import annotations
__all__ = (
"BlockingPortal",
"BlockingPortalProvider",
"check_cancelled",
"run",
"run_sync",
"start_blocking_portal",
)
import sys
from collections.abc import Awaitable, Callable, Generator
from concurrent.futures import Future
from contextlib import (
AbstractAsyncContextManager,
AbstractContextManager,
contextmanager,
)
from dataclasses import dataclass, field
from functools import partial
from inspect import isawaitable
from threading import Lock, Thread, current_thread, get_ident
from types import TracebackType
from typing import (
Any,
Generic,
TypeVar,
cast,
overload,
)
from ._core._eventloop import (
get_cancelled_exc_class,
threadlocals,
)
from ._core._eventloop import run as run_eventloop
from ._core._exceptions import NoEventLoopError
from ._core._synchronization import Event
from ._core._tasks import CancelScope, create_task_group
from .abc._tasks import TaskStatus
from .lowlevel import EventLoopToken, current_token
if sys.version_info >= (3, 11):
from typing import TypeVarTuple, Unpack
else:
from typing_extensions import TypeVarTuple, Unpack
T_Retval = TypeVar("T_Retval")
T_co = TypeVar("T_co", covariant=True)
PosArgsT = TypeVarTuple("PosArgsT")
def _token_or_error(token: EventLoopToken | None) -> EventLoopToken:
if token is not None:
return token
try:
return threadlocals.current_token
except AttributeError:
raise NoEventLoopError(
"Not running inside an AnyIO worker thread, and no event loop token was "
"provided"
) from None
def run(
func: Callable[[Unpack[PosArgsT]], Awaitable[T_Retval]],
*args: Unpack[PosArgsT],
token: EventLoopToken | None = None,
) -> T_Retval:
"""
Call a coroutine function from a worker thread.
:param func: a coroutine function
:param args: positional arguments for the callable
:param token: an event loop token to use to get back to the event loop thread
(required if calling this function from outside an AnyIO worker thread)
:return: the return value of the coroutine function
:raises MissingTokenError: if no token was provided and called from outside an
AnyIO worker thread
:raises RunFinishedError: if the event loop tied to ``token`` is no longer running
.. versionchanged:: 4.11.0
Added the ``token`` parameter.
"""
explicit_token = token is not None
token = _token_or_error(token)
return token.backend_class.run_async_from_thread(
func, args, token=token.native_token if explicit_token else None
)
def run_sync(
func: Callable[[Unpack[PosArgsT]], T_Retval],
*args: Unpack[PosArgsT],
token: EventLoopToken | None = None,
) -> T_Retval:
"""
Call a function in the event loop thread from a worker thread.
:param func: a callable
:param args: positional arguments for the callable
:param token: an event loop token to use to get back to the event loop thread
(required if calling this function from outside an AnyIO worker thread)
:return: the return value of the callable
:raises MissingTokenError: if no token was provided and called from outside an
AnyIO worker thread
:raises RunFinishedError: if the event loop tied to ``token`` is no longer running
.. versionchanged:: 4.11.0
Added the ``token`` parameter.
"""
explicit_token = token is not None
token = _token_or_error(token)
return token.backend_class.run_sync_from_thread(
func, args, token=token.native_token if explicit_token else None
)
class _BlockingAsyncContextManager(Generic[T_co], AbstractContextManager):
_enter_future: Future[T_co]
_exit_future: Future[bool | None]
_exit_event: Event
_exit_exc_info: tuple[
type[BaseException] | None, BaseException | None, TracebackType | None
] = (None, None, None)
def __init__(
self, async_cm: AbstractAsyncContextManager[T_co], portal: BlockingPortal
):
self._async_cm = async_cm
self._portal = portal
async def run_async_cm(self) -> bool | None:
try:
self._exit_event = Event()
value = await self._async_cm.__aenter__()
except BaseException as exc:
self._enter_future.set_exception(exc)
raise
else:
self._enter_future.set_result(value)
try:
# Wait for the sync context manager to exit.
# This next statement can raise `get_cancelled_exc_class()` if
# something went wrong in a task group in this async context
# manager.
await self._exit_event.wait()
finally:
# In case of cancellation, it could be that we end up here before
# `_BlockingAsyncContextManager.__exit__` is called, and an
# `_exit_exc_info` has been set.
result = await self._async_cm.__aexit__(*self._exit_exc_info)
return result
def __enter__(self) -> T_co:
self._enter_future = Future()
self._exit_future = self._portal.start_task_soon(self.run_async_cm)
return self._enter_future.result()
def __exit__(
self,
__exc_type: type[BaseException] | None,
__exc_value: BaseException | None,
__traceback: TracebackType | None,
) -> bool | None:
self._exit_exc_info = __exc_type, __exc_value, __traceback
self._portal.call(self._exit_event.set)
return self._exit_future.result()
class _BlockingPortalTaskStatus(TaskStatus):
def __init__(self, future: Future):
self._future = future
def started(self, value: object = None) -> None:
self._future.set_result(value)
class BlockingPortal:
"""
An object that lets external threads run code in an asynchronous event loop.
:raises NoEventLoopError: if no supported asynchronous event loop is running in the
current thread
"""
def __init__(self) -> None:
self._token = current_token()
self._event_loop_thread_id: int | None = get_ident()
self._stop_event = Event()
self._task_group = create_task_group()
async def __aenter__(self) -> BlockingPortal:
await self._task_group.__aenter__()
return self
async def __aexit__(
self,
exc_type: type[BaseException] | None,
exc_val: BaseException | None,
exc_tb: TracebackType | None,
) -> bool:
await self.stop()
return await self._task_group.__aexit__(exc_type, exc_val, exc_tb)
def _check_running(self) -> None:
if self._event_loop_thread_id is None:
raise RuntimeError("This portal is not running")
if self._event_loop_thread_id == get_ident():
raise RuntimeError(
"This method cannot be called from the event loop thread"
)
async def sleep_until_stopped(self) -> None:
"""Sleep until :meth:`stop` is called."""
await self._stop_event.wait()
async def stop(self, cancel_remaining: bool = False) -> None:
"""
Signal the portal to shut down.
This marks the portal as no longer accepting new calls and exits from
:meth:`sleep_until_stopped`.
:param cancel_remaining: ``True`` to cancel all the remaining tasks, ``False``
to let them finish before returning
"""
self._event_loop_thread_id = None
self._stop_event.set()
if cancel_remaining:
self._task_group.cancel_scope.cancel("the blocking portal is shutting down")
async def _call_func(
self,
func: Callable[[Unpack[PosArgsT]], Awaitable[T_Retval] | T_Retval],
args: tuple[Unpack[PosArgsT]],
kwargs: dict[str, Any],
future: Future[T_Retval],
) -> None:
def callback(f: Future[T_Retval]) -> None:
if f.cancelled():
if self._event_loop_thread_id == get_ident():
scope.cancel("the future was cancelled")
elif self._event_loop_thread_id is not None:
self.call(scope.cancel, "the future was cancelled")
try:
retval_or_awaitable = func(*args, **kwargs)
if isawaitable(retval_or_awaitable):
with CancelScope() as scope:
future.add_done_callback(callback)
retval = await retval_or_awaitable
else:
retval = retval_or_awaitable
except get_cancelled_exc_class():
future.cancel()
future.set_running_or_notify_cancel()
except BaseException as exc:
if not future.cancelled():
future.set_exception(exc)
# Let base exceptions fall through
if not isinstance(exc, Exception):
raise
else:
if not future.cancelled():
future.set_result(retval)
finally:
scope = None # type: ignore[assignment]
def _spawn_task_from_thread(
self,
func: Callable[[Unpack[PosArgsT]], Awaitable[T_Retval] | T_Retval],
args: tuple[Unpack[PosArgsT]],
kwargs: dict[str, Any],
name: object,
future: Future[T_Retval],
) -> None:
"""
Spawn a new task using the given callable.
:param func: a callable
:param args: positional arguments to be passed to the callable
:param kwargs: keyword arguments to be passed to the callable
:param name: name of the task (will be coerced to a string if not ``None``)
:param future: a future that will resolve to the return value of the callable,
or the exception raised during its execution
"""
run_sync(
partial(self._task_group.start_soon, name=name),
self._call_func,
func,
args,
kwargs,
future,
token=self._token,
)
@overload
def call(
self,
func: Callable[[Unpack[PosArgsT]], Awaitable[T_Retval]],
*args: Unpack[PosArgsT],
) -> T_Retval: ...
@overload
def call(
self, func: Callable[[Unpack[PosArgsT]], T_Retval], *args: Unpack[PosArgsT]
) -> T_Retval: ...
def call(
self,
func: Callable[[Unpack[PosArgsT]], Awaitable[T_Retval] | T_Retval],
*args: Unpack[PosArgsT],
) -> T_Retval:
"""
Call the given function in the event loop thread.
If the callable returns a coroutine object, it is awaited on.
:param func: any callable
:raises RuntimeError: if the portal is not running or if this method is called
from within the event loop thread
"""
return cast(T_Retval, self.start_task_soon(func, *args).result())
@overload
def start_task_soon(
self,
func: Callable[[Unpack[PosArgsT]], Awaitable[T_Retval]],
*args: Unpack[PosArgsT],
name: object = None,
) -> Future[T_Retval]: ...
@overload
def start_task_soon(
self,
func: Callable[[Unpack[PosArgsT]], T_Retval],
*args: Unpack[PosArgsT],
name: object = None,
) -> Future[T_Retval]: ...
def start_task_soon(
self,
func: Callable[[Unpack[PosArgsT]], Awaitable[T_Retval] | T_Retval],
*args: Unpack[PosArgsT],
name: object = None,
) -> Future[T_Retval]:
"""
Start a task in the portal's task group.
The task will be run inside a cancel scope which can be cancelled by cancelling
the returned future.
:param func: the target function
:param args: positional arguments passed to ``func``
:param name: name of the task (will be coerced to a string if not ``None``)
:return: a future that resolves with the return value of the callable if the
task completes successfully, or with the exception raised in the task
:raises RuntimeError: if the portal is not running or if this method is called
from within the event loop thread
:rtype: concurrent.futures.Future[T_Retval]
.. versionadded:: 3.0
"""
self._check_running()
f: Future[T_Retval] = Future()
self._spawn_task_from_thread(func, args, {}, name, f)
return f
def start_task(
self,
func: Callable[..., Awaitable[T_Retval]],
*args: object,
name: object = None,
) -> tuple[Future[T_Retval], Any]:
"""
Start a task in the portal's task group and wait until it signals for readiness.
This method works the same way as :meth:`.abc.TaskGroup.start`.
:param func: the target function
:param args: positional arguments passed to ``func``
:param name: name of the task (will be coerced to a string if not ``None``)
:return: a tuple of (future, task_status_value) where the ``task_status_value``
is the value passed to ``task_status.started()`` from within the target
function
:rtype: tuple[concurrent.futures.Future[T_Retval], Any]
.. versionadded:: 3.0
"""
def task_done(future: Future[T_Retval]) -> None:
if not task_status_future.done():
if future.cancelled():
task_status_future.cancel()
elif future.exception():
task_status_future.set_exception(future.exception())
else:
exc = RuntimeError(
"Task exited without calling task_status.started()"
)
task_status_future.set_exception(exc)
self._check_running()
task_status_future: Future = Future()
task_status = _BlockingPortalTaskStatus(task_status_future)
f: Future = Future()
f.add_done_callback(task_done)
self._spawn_task_from_thread(func, args, {"task_status": task_status}, name, f)
return f, task_status_future.result()
def wrap_async_context_manager(
self, cm: AbstractAsyncContextManager[T_co]
) -> AbstractContextManager[T_co]:
"""
Wrap an async context manager as a synchronous context manager via this portal.
Spawns a task that will call both ``__aenter__()`` and ``__aexit__()``, stopping
in the middle until the synchronous context manager exits.
:param cm: an asynchronous context manager
:return: a synchronous context manager
.. versionadded:: 2.1
"""
return _BlockingAsyncContextManager(cm, self)
@dataclass
class BlockingPortalProvider:
"""
A manager for a blocking portal. Used as a context manager. The first thread to
enter this context manager causes a blocking portal to be started with the specific
parameters, and the last thread to exit causes the portal to be shut down. Thus,
there will be exactly one blocking portal running in this context as long as at
least one thread has entered this context manager.
The parameters are the same as for :func:`~anyio.run`.
:param backend: name of the backend
:param backend_options: backend options
.. versionadded:: 4.4
"""
backend: str = "asyncio"
backend_options: dict[str, Any] | None = None
_lock: Lock = field(init=False, default_factory=Lock)
_leases: int = field(init=False, default=0)
_portal: BlockingPortal = field(init=False)
_portal_cm: AbstractContextManager[BlockingPortal] | None = field(
init=False, default=None
)
def __enter__(self) -> BlockingPortal:
with self._lock:
if self._portal_cm is None:
self._portal_cm = start_blocking_portal(
self.backend, self.backend_options
)
self._portal = self._portal_cm.__enter__()
self._leases += 1
return self._portal
def __exit__(
self,
exc_type: type[BaseException] | None,
exc_val: BaseException | None,
exc_tb: TracebackType | None,
) -> None:
portal_cm: AbstractContextManager[BlockingPortal] | None = None
with self._lock:
assert self._portal_cm
assert self._leases > 0
self._leases -= 1
if not self._leases:
portal_cm = self._portal_cm
self._portal_cm = None
del self._portal
if portal_cm:
portal_cm.__exit__(None, None, None)
@contextmanager
def start_blocking_portal(
backend: str = "asyncio",
backend_options: dict[str, Any] | None = None,
*,
name: str | None = None,
) -> Generator[BlockingPortal, Any, None]:
"""
Start a new event loop in a new thread and run a blocking portal in its main task.
The parameters are the same as for :func:`~anyio.run`.
:param backend: name of the backend
:param backend_options: backend options
:param name: name of the thread
:return: a context manager that yields a blocking portal
.. versionchanged:: 3.0
Usage as a context manager is now required.
"""
async def run_portal() -> None:
async with BlockingPortal() as portal_:
if name is None:
current_thread().name = f"{backend}-portal-{id(portal_):x}"
future.set_result(portal_)
await portal_.sleep_until_stopped()
def run_blocking_portal() -> None:
if future.set_running_or_notify_cancel():
try:
run_eventloop(
run_portal, backend=backend, backend_options=backend_options
)
except BaseException as exc:
if not future.done():
future.set_exception(exc)
future: Future[BlockingPortal] = Future()
thread = Thread(target=run_blocking_portal, daemon=True, name=name)
thread.start()
try:
cancel_remaining_tasks = False
portal = future.result()
try:
yield portal
except BaseException:
cancel_remaining_tasks = True
raise
finally:
try:
portal.call(portal.stop, cancel_remaining_tasks)
except RuntimeError:
pass
finally:
thread.join()
def check_cancelled() -> None:
"""
Check if the cancel scope of the host task's running the current worker thread has
been cancelled.
If the host task's current cancel scope has indeed been cancelled, the
backend-specific cancellation exception will be raised.
:raises RuntimeError: if the current thread was not spawned by
:func:`.to_thread.run_sync`
"""
try:
token: EventLoopToken = threadlocals.current_token
except AttributeError:
raise NoEventLoopError(
"This function can only be called inside an AnyIO worker thread"
) from None
token.backend_class.check_cancelled()

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@@ -0,0 +1,375 @@
from __future__ import annotations
__all__ = (
"AsyncCacheInfo",
"AsyncCacheParameters",
"AsyncLRUCacheWrapper",
"cache",
"lru_cache",
"reduce",
)
import functools
import sys
from collections import OrderedDict
from collections.abc import (
AsyncIterable,
Awaitable,
Callable,
Coroutine,
Hashable,
Iterable,
)
from functools import update_wrapper
from inspect import iscoroutinefunction
from typing import (
Any,
Generic,
NamedTuple,
TypedDict,
TypeVar,
cast,
final,
overload,
)
from weakref import WeakKeyDictionary
from ._core._synchronization import Lock
from .lowlevel import RunVar, checkpoint
if sys.version_info >= (3, 11):
from typing import ParamSpec
else:
from typing_extensions import ParamSpec
T = TypeVar("T")
S = TypeVar("S")
P = ParamSpec("P")
lru_cache_items: RunVar[
WeakKeyDictionary[
AsyncLRUCacheWrapper[Any, Any],
OrderedDict[Hashable, tuple[_InitialMissingType, Lock] | tuple[Any, None]],
]
] = RunVar("lru_cache_items")
class _InitialMissingType:
pass
initial_missing: _InitialMissingType = _InitialMissingType()
class AsyncCacheInfo(NamedTuple):
hits: int
misses: int
maxsize: int | None
currsize: int
class AsyncCacheParameters(TypedDict):
maxsize: int | None
typed: bool
always_checkpoint: bool
class _LRUMethodWrapper(Generic[T]):
def __init__(self, wrapper: AsyncLRUCacheWrapper[..., T], instance: object):
self.__wrapper = wrapper
self.__instance = instance
def cache_info(self) -> AsyncCacheInfo:
return self.__wrapper.cache_info()
def cache_parameters(self) -> AsyncCacheParameters:
return self.__wrapper.cache_parameters()
def cache_clear(self) -> None:
self.__wrapper.cache_clear()
async def __call__(self, *args: Any, **kwargs: Any) -> T:
if self.__instance is None:
return await self.__wrapper(*args, **kwargs)
return await self.__wrapper(self.__instance, *args, **kwargs)
@final
class AsyncLRUCacheWrapper(Generic[P, T]):
def __init__(
self,
func: Callable[P, Awaitable[T]],
maxsize: int | None,
typed: bool,
always_checkpoint: bool,
):
self.__wrapped__ = func
self._hits: int = 0
self._misses: int = 0
self._maxsize = max(maxsize, 0) if maxsize is not None else None
self._currsize: int = 0
self._typed = typed
self._always_checkpoint = always_checkpoint
update_wrapper(self, func)
def cache_info(self) -> AsyncCacheInfo:
return AsyncCacheInfo(self._hits, self._misses, self._maxsize, self._currsize)
def cache_parameters(self) -> AsyncCacheParameters:
return {
"maxsize": self._maxsize,
"typed": self._typed,
"always_checkpoint": self._always_checkpoint,
}
def cache_clear(self) -> None:
if cache := lru_cache_items.get(None):
cache.pop(self, None)
self._hits = self._misses = self._currsize = 0
async def __call__(self, *args: P.args, **kwargs: P.kwargs) -> T:
# Easy case first: if maxsize == 0, no caching is done
if self._maxsize == 0:
value = await self.__wrapped__(*args, **kwargs)
self._misses += 1
return value
# The key is constructed as a flat tuple to avoid memory overhead
key: tuple[Any, ...] = args
if kwargs:
# initial_missing is used as a separator
key += (initial_missing,) + sum(kwargs.items(), ())
if self._typed:
key += tuple(type(arg) for arg in args)
if kwargs:
key += (initial_missing,) + tuple(type(val) for val in kwargs.values())
try:
cache = lru_cache_items.get()
except LookupError:
cache = WeakKeyDictionary()
lru_cache_items.set(cache)
try:
cache_entry = cache[self]
except KeyError:
cache_entry = cache[self] = OrderedDict()
cached_value: T | _InitialMissingType
try:
cached_value, lock = cache_entry[key]
except KeyError:
# We're the first task to call this function
cached_value, lock = (
initial_missing,
Lock(fast_acquire=not self._always_checkpoint),
)
cache_entry[key] = cached_value, lock
if lock is None:
# The value was already cached
self._hits += 1
cache_entry.move_to_end(key)
if self._always_checkpoint:
await checkpoint()
return cast(T, cached_value)
async with lock:
# Check if another task filled the cache while we acquired the lock
if (cached_value := cache_entry[key][0]) is initial_missing:
self._misses += 1
if self._maxsize is not None and self._currsize >= self._maxsize:
cache_entry.popitem(last=False)
else:
self._currsize += 1
value = await self.__wrapped__(*args, **kwargs)
cache_entry[key] = value, None
else:
# Another task filled the cache while we were waiting for the lock
self._hits += 1
cache_entry.move_to_end(key)
value = cast(T, cached_value)
return value
def __get__(
self, instance: object, owner: type | None = None
) -> _LRUMethodWrapper[T]:
wrapper = _LRUMethodWrapper(self, instance)
update_wrapper(wrapper, self.__wrapped__)
return wrapper
class _LRUCacheWrapper(Generic[T]):
def __init__(self, maxsize: int | None, typed: bool, always_checkpoint: bool):
self._maxsize = maxsize
self._typed = typed
self._always_checkpoint = always_checkpoint
@overload
def __call__( # type: ignore[overload-overlap]
self, func: Callable[P, Coroutine[Any, Any, T]], /
) -> AsyncLRUCacheWrapper[P, T]: ...
@overload
def __call__(
self, func: Callable[..., T], /
) -> functools._lru_cache_wrapper[T]: ...
def __call__(
self, f: Callable[P, Coroutine[Any, Any, T]] | Callable[..., T], /
) -> AsyncLRUCacheWrapper[P, T] | functools._lru_cache_wrapper[T]:
if iscoroutinefunction(f):
return AsyncLRUCacheWrapper(
f, self._maxsize, self._typed, self._always_checkpoint
)
return functools.lru_cache(maxsize=self._maxsize, typed=self._typed)(f) # type: ignore[arg-type]
@overload
def cache( # type: ignore[overload-overlap]
func: Callable[P, Coroutine[Any, Any, T]], /
) -> AsyncLRUCacheWrapper[P, T]: ...
@overload
def cache(func: Callable[..., T], /) -> functools._lru_cache_wrapper[T]: ...
def cache(
func: Callable[..., T] | Callable[P, Coroutine[Any, Any, T]], /
) -> AsyncLRUCacheWrapper[P, T] | functools._lru_cache_wrapper[T]:
"""
A convenient shortcut for :func:`lru_cache` with ``maxsize=None``.
This is the asynchronous equivalent to :func:`functools.cache`.
"""
return lru_cache(maxsize=None)(func)
@overload
def lru_cache(
*, maxsize: int | None = ..., typed: bool = ..., always_checkpoint: bool = ...
) -> _LRUCacheWrapper[Any]: ...
@overload
def lru_cache( # type: ignore[overload-overlap]
func: Callable[P, Coroutine[Any, Any, T]], /
) -> AsyncLRUCacheWrapper[P, T]: ...
@overload
def lru_cache(func: Callable[..., T], /) -> functools._lru_cache_wrapper[T]: ...
def lru_cache(
func: Callable[P, Coroutine[Any, Any, T]] | Callable[..., T] | None = None,
/,
*,
maxsize: int | None = 128,
typed: bool = False,
always_checkpoint: bool = False,
) -> (
AsyncLRUCacheWrapper[P, T] | functools._lru_cache_wrapper[T] | _LRUCacheWrapper[Any]
):
"""
An asynchronous version of :func:`functools.lru_cache`.
If a synchronous function is passed, the standard library
:func:`functools.lru_cache` is applied instead.
:param always_checkpoint: if ``True``, every call to the cached function will be
guaranteed to yield control to the event loop at least once
.. note:: Caches and locks are managed on a per-event loop basis.
"""
if func is None:
return _LRUCacheWrapper[Any](maxsize, typed, always_checkpoint)
if not callable(func):
raise TypeError("the first argument must be callable")
return _LRUCacheWrapper[T](maxsize, typed, always_checkpoint)(func)
@overload
async def reduce(
function: Callable[[T, S], Awaitable[T]],
iterable: Iterable[S] | AsyncIterable[S],
/,
initial: T,
) -> T: ...
@overload
async def reduce(
function: Callable[[T, T], Awaitable[T]],
iterable: Iterable[T] | AsyncIterable[T],
/,
) -> T: ...
async def reduce( # type: ignore[misc]
function: Callable[[T, T], Awaitable[T]] | Callable[[T, S], Awaitable[T]],
iterable: Iterable[T] | Iterable[S] | AsyncIterable[T] | AsyncIterable[S],
/,
initial: T | _InitialMissingType = initial_missing,
) -> T:
"""
Asynchronous version of :func:`functools.reduce`.
:param function: a coroutine function that takes two arguments: the accumulated
value and the next element from the iterable
:param iterable: an iterable or async iterable
:param initial: the initial value (if missing, the first element of the iterable is
used as the initial value)
"""
element: Any
function_called = False
if isinstance(iterable, AsyncIterable):
async_it = iterable.__aiter__()
if initial is initial_missing:
try:
value = cast(T, await async_it.__anext__())
except StopAsyncIteration:
raise TypeError(
"reduce() of empty sequence with no initial value"
) from None
else:
value = cast(T, initial)
async for element in async_it:
value = await function(value, element)
function_called = True
elif isinstance(iterable, Iterable):
it = iter(iterable)
if initial is initial_missing:
try:
value = cast(T, next(it))
except StopIteration:
raise TypeError(
"reduce() of empty sequence with no initial value"
) from None
else:
value = cast(T, initial)
for element in it:
value = await function(value, element)
function_called = True
else:
raise TypeError("reduce() argument 2 must be an iterable or async iterable")
# Make sure there is at least one checkpoint, even if an empty iterable and an
# initial value were given
if not function_called:
await checkpoint()
return value

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@@ -0,0 +1,196 @@
from __future__ import annotations
__all__ = (
"EventLoopToken",
"RunvarToken",
"RunVar",
"checkpoint",
"checkpoint_if_cancelled",
"cancel_shielded_checkpoint",
"current_token",
)
import enum
from dataclasses import dataclass
from types import TracebackType
from typing import Any, Generic, Literal, TypeVar, final, overload
from weakref import WeakKeyDictionary
from ._core._eventloop import get_async_backend
from .abc import AsyncBackend
T = TypeVar("T")
D = TypeVar("D")
async def checkpoint() -> None:
"""
Check for cancellation and allow the scheduler to switch to another task.
Equivalent to (but more efficient than)::
await checkpoint_if_cancelled()
await cancel_shielded_checkpoint()
.. versionadded:: 3.0
"""
await get_async_backend().checkpoint()
async def checkpoint_if_cancelled() -> None:
"""
Enter a checkpoint if the enclosing cancel scope has been cancelled.
This does not allow the scheduler to switch to a different task.
.. versionadded:: 3.0
"""
await get_async_backend().checkpoint_if_cancelled()
async def cancel_shielded_checkpoint() -> None:
"""
Allow the scheduler to switch to another task but without checking for cancellation.
Equivalent to (but potentially more efficient than)::
with CancelScope(shield=True):
await checkpoint()
.. versionadded:: 3.0
"""
await get_async_backend().cancel_shielded_checkpoint()
@final
@dataclass(frozen=True, repr=False)
class EventLoopToken:
"""
An opaque object that holds a reference to an event loop.
.. versionadded:: 4.11.0
"""
backend_class: type[AsyncBackend]
native_token: object
def current_token() -> EventLoopToken:
"""
Return a token object that can be used to call code in the current event loop from
another thread.
:raises NoEventLoopError: if no supported asynchronous event loop is running in the
current thread
.. versionadded:: 4.11.0
"""
backend_class = get_async_backend()
raw_token = backend_class.current_token()
return EventLoopToken(backend_class, raw_token)
_run_vars: WeakKeyDictionary[object, dict[RunVar[Any], Any]] = WeakKeyDictionary()
class _NoValueSet(enum.Enum):
NO_VALUE_SET = enum.auto()
class RunvarToken(Generic[T]):
__slots__ = "_var", "_value", "_redeemed"
def __init__(self, var: RunVar[T], value: T | Literal[_NoValueSet.NO_VALUE_SET]):
self._var = var
self._value: T | Literal[_NoValueSet.NO_VALUE_SET] = value
self._redeemed = False
def __enter__(self) -> RunvarToken[T]:
return self
def __exit__(
self,
exc_type: type[BaseException] | None,
exc_val: BaseException | None,
exc_tb: TracebackType | None,
) -> None:
self._var.reset(self)
class RunVar(Generic[T]):
"""
Like a :class:`~contextvars.ContextVar`, except scoped to the running event loop.
Can be used as a context manager, Just like :class:`~contextvars.ContextVar`, that
will reset the variable to its previous value when the context block is exited.
"""
__slots__ = "_name", "_default"
NO_VALUE_SET: Literal[_NoValueSet.NO_VALUE_SET] = _NoValueSet.NO_VALUE_SET
def __init__(
self, name: str, default: T | Literal[_NoValueSet.NO_VALUE_SET] = NO_VALUE_SET
):
self._name = name
self._default = default
@property
def _current_vars(self) -> dict[RunVar[T], T]:
native_token = current_token().native_token
try:
return _run_vars[native_token]
except KeyError:
run_vars = _run_vars[native_token] = {}
return run_vars
@overload
def get(self, default: D) -> T | D: ...
@overload
def get(self) -> T: ...
def get(
self, default: D | Literal[_NoValueSet.NO_VALUE_SET] = NO_VALUE_SET
) -> T | D:
try:
return self._current_vars[self]
except KeyError:
if default is not RunVar.NO_VALUE_SET:
return default
elif self._default is not RunVar.NO_VALUE_SET:
return self._default
raise LookupError(
f'Run variable "{self._name}" has no value and no default set'
)
def set(self, value: T) -> RunvarToken[T]:
current_vars = self._current_vars
token = RunvarToken(self, current_vars.get(self, RunVar.NO_VALUE_SET))
current_vars[self] = value
return token
def reset(self, token: RunvarToken[T]) -> None:
if token._var is not self:
raise ValueError("This token does not belong to this RunVar")
if token._redeemed:
raise ValueError("This token has already been used")
if token._value is _NoValueSet.NO_VALUE_SET:
try:
del self._current_vars[self]
except KeyError:
pass
else:
self._current_vars[self] = token._value
token._redeemed = True
def __repr__(self) -> str:
return f"<RunVar name={self._name!r}>"

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@@ -0,0 +1,302 @@
from __future__ import annotations
import socket
import sys
from collections.abc import Callable, Generator, Iterator
from contextlib import ExitStack, contextmanager
from inspect import isasyncgenfunction, iscoroutinefunction, ismethod
from typing import Any, cast
import pytest
from _pytest.fixtures import SubRequest
from _pytest.outcomes import Exit
from . import get_available_backends
from ._core._eventloop import (
current_async_library,
get_async_backend,
reset_current_async_library,
set_current_async_library,
)
from ._core._exceptions import iterate_exceptions
from .abc import TestRunner
if sys.version_info < (3, 11):
from exceptiongroup import ExceptionGroup
_current_runner: TestRunner | None = None
_runner_stack: ExitStack | None = None
_runner_leases = 0
def extract_backend_and_options(backend: object) -> tuple[str, dict[str, Any]]:
if isinstance(backend, str):
return backend, {}
elif isinstance(backend, tuple) and len(backend) == 2:
if isinstance(backend[0], str) and isinstance(backend[1], dict):
return cast(tuple[str, dict[str, Any]], backend)
raise TypeError("anyio_backend must be either a string or tuple of (string, dict)")
@contextmanager
def get_runner(
backend_name: str, backend_options: dict[str, Any]
) -> Iterator[TestRunner]:
global _current_runner, _runner_leases, _runner_stack
if _current_runner is None:
asynclib = get_async_backend(backend_name)
_runner_stack = ExitStack()
if current_async_library() is None:
# Since we're in control of the event loop, we can cache the name of the
# async library
token = set_current_async_library(backend_name)
_runner_stack.callback(reset_current_async_library, token)
backend_options = backend_options or {}
_current_runner = _runner_stack.enter_context(
asynclib.create_test_runner(backend_options)
)
_runner_leases += 1
try:
yield _current_runner
finally:
_runner_leases -= 1
if not _runner_leases:
assert _runner_stack is not None
_runner_stack.close()
_runner_stack = _current_runner = None
def pytest_addoption(parser: pytest.Parser) -> None:
parser.addini(
"anyio_mode",
default="strict",
help='AnyIO plugin mode (either "strict" or "auto")',
)
def pytest_configure(config: pytest.Config) -> None:
config.addinivalue_line(
"markers",
"anyio: mark the (coroutine function) test to be run asynchronously via anyio.",
)
if (
config.getini("anyio_mode") == "auto"
and config.pluginmanager.has_plugin("asyncio")
and config.getini("asyncio_mode") == "auto"
):
config.issue_config_time_warning(
pytest.PytestConfigWarning(
"AnyIO auto mode has been enabled together with pytest-asyncio auto "
"mode. This may cause unexpected behavior."
),
1,
)
@pytest.hookimpl(hookwrapper=True)
def pytest_fixture_setup(fixturedef: Any, request: Any) -> Generator[Any]:
def wrapper(anyio_backend: Any, request: SubRequest, **kwargs: Any) -> Any:
# Rebind any fixture methods to the request instance
if (
request.instance
and ismethod(func)
and type(func.__self__) is type(request.instance)
):
local_func = func.__func__.__get__(request.instance)
else:
local_func = func
backend_name, backend_options = extract_backend_and_options(anyio_backend)
if has_backend_arg:
kwargs["anyio_backend"] = anyio_backend
if has_request_arg:
kwargs["request"] = request
with get_runner(backend_name, backend_options) as runner:
if isasyncgenfunction(local_func):
yield from runner.run_asyncgen_fixture(local_func, kwargs)
else:
yield runner.run_fixture(local_func, kwargs)
# Only apply this to coroutine functions and async generator functions in requests
# that involve the anyio_backend fixture
func = fixturedef.func
if isasyncgenfunction(func) or iscoroutinefunction(func):
if "anyio_backend" in request.fixturenames:
fixturedef.func = wrapper
original_argname = fixturedef.argnames
if not (has_backend_arg := "anyio_backend" in fixturedef.argnames):
fixturedef.argnames += ("anyio_backend",)
if not (has_request_arg := "request" in fixturedef.argnames):
fixturedef.argnames += ("request",)
try:
return (yield)
finally:
fixturedef.func = func
fixturedef.argnames = original_argname
return (yield)
@pytest.hookimpl(tryfirst=True)
def pytest_pycollect_makeitem(
collector: pytest.Module | pytest.Class, name: str, obj: object
) -> None:
if collector.istestfunction(obj, name):
inner_func = obj.hypothesis.inner_test if hasattr(obj, "hypothesis") else obj
if iscoroutinefunction(inner_func):
anyio_auto_mode = collector.config.getini("anyio_mode") == "auto"
marker = collector.get_closest_marker("anyio")
own_markers = getattr(obj, "pytestmark", ())
if (
anyio_auto_mode
or marker
or any(marker.name == "anyio" for marker in own_markers)
):
pytest.mark.usefixtures("anyio_backend")(obj)
@pytest.hookimpl(tryfirst=True)
def pytest_pyfunc_call(pyfuncitem: Any) -> bool | None:
def run_with_hypothesis(**kwargs: Any) -> None:
with get_runner(backend_name, backend_options) as runner:
runner.run_test(original_func, kwargs)
backend = pyfuncitem.funcargs.get("anyio_backend")
if backend:
backend_name, backend_options = extract_backend_and_options(backend)
if hasattr(pyfuncitem.obj, "hypothesis"):
# Wrap the inner test function unless it's already wrapped
original_func = pyfuncitem.obj.hypothesis.inner_test
if original_func.__qualname__ != run_with_hypothesis.__qualname__:
if iscoroutinefunction(original_func):
pyfuncitem.obj.hypothesis.inner_test = run_with_hypothesis
return None
if iscoroutinefunction(pyfuncitem.obj):
funcargs = pyfuncitem.funcargs
testargs = {arg: funcargs[arg] for arg in pyfuncitem._fixtureinfo.argnames}
with get_runner(backend_name, backend_options) as runner:
try:
runner.run_test(pyfuncitem.obj, testargs)
except ExceptionGroup as excgrp:
for exc in iterate_exceptions(excgrp):
if isinstance(exc, (Exit, KeyboardInterrupt, SystemExit)):
raise exc from excgrp
raise
return True
return None
@pytest.fixture(scope="module", params=get_available_backends())
def anyio_backend(request: Any) -> Any:
return request.param
@pytest.fixture
def anyio_backend_name(anyio_backend: Any) -> str:
if isinstance(anyio_backend, str):
return anyio_backend
else:
return anyio_backend[0]
@pytest.fixture
def anyio_backend_options(anyio_backend: Any) -> dict[str, Any]:
if isinstance(anyio_backend, str):
return {}
else:
return anyio_backend[1]
class FreePortFactory:
"""
Manages port generation based on specified socket kind, ensuring no duplicate
ports are generated.
This class provides functionality for generating available free ports on the
system. It is initialized with a specific socket kind and can generate ports
for given address families while avoiding reuse of previously generated ports.
Users should not instantiate this class directly, but use the
``free_tcp_port_factory`` and ``free_udp_port_factory`` fixtures instead. For simple
uses cases, ``free_tcp_port`` and ``free_udp_port`` can be used instead.
"""
def __init__(self, kind: socket.SocketKind) -> None:
self._kind = kind
self._generated = set[int]()
@property
def kind(self) -> socket.SocketKind:
"""
The type of socket connection (e.g., :data:`~socket.SOCK_STREAM` or
:data:`~socket.SOCK_DGRAM`) used to bind for checking port availability
"""
return self._kind
def __call__(self, family: socket.AddressFamily | None = None) -> int:
"""
Return an unbound port for the given address family.
:param family: if omitted, both IPv4 and IPv6 addresses will be tried
:return: a port number
"""
if family is not None:
families = [family]
else:
families = [socket.AF_INET]
if socket.has_ipv6:
families.append(socket.AF_INET6)
while True:
port = 0
with ExitStack() as stack:
for family in families:
sock = stack.enter_context(socket.socket(family, self._kind))
addr = "::1" if family == socket.AF_INET6 else "127.0.0.1"
try:
sock.bind((addr, port))
except OSError:
break
if not port:
port = sock.getsockname()[1]
else:
if port not in self._generated:
self._generated.add(port)
return port
@pytest.fixture(scope="session")
def free_tcp_port_factory() -> FreePortFactory:
return FreePortFactory(socket.SOCK_STREAM)
@pytest.fixture(scope="session")
def free_udp_port_factory() -> FreePortFactory:
return FreePortFactory(socket.SOCK_DGRAM)
@pytest.fixture
def free_tcp_port(free_tcp_port_factory: Callable[[], int]) -> int:
return free_tcp_port_factory()
@pytest.fixture
def free_udp_port(free_udp_port_factory: Callable[[], int]) -> int:
return free_udp_port_factory()

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