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__pycache__/DuckDuckGo.cpython-38.pyc
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myenv/Lib/site-packages/MarkupSafe-2.1.5.dist-info/INSTALLER
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myenv/Lib/site-packages/MarkupSafe-2.1.5.dist-info/LICENSE.rst
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Copyright 2010 Pallets
Redistribution and use in source and binary forms, with or without
modification, are permitted provided that the following conditions are
met:
1. Redistributions of source code must retain the above copyright
notice, this list of conditions and the following disclaimer.
2. Redistributions in binary form must reproduce the above copyright
notice, this list of conditions and the following disclaimer in the
documentation and/or other materials provided with the distribution.
3. Neither the name of the copyright holder nor the names of its
contributors may be used to endorse or promote products derived from
this software without specific prior written permission.
THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS
"AS IS" AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT
LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A
PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT
HOLDER OR CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL,
SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED
TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR
PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF
LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING
NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS
SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
myenv/Lib/site-packages/MarkupSafe-2.1.5.dist-info/METADATA
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Metadata-Version: 2.1
Name: MarkupSafe
Version: 2.1.5
Summary: Safely add untrusted strings to HTML/XML markup.
Home-page: https://palletsprojects.com/p/markupsafe/
Maintainer: Pallets
Maintainer-email: contact@palletsprojects.com
License: BSD-3-Clause
Project-URL: Donate, https://palletsprojects.com/donate
Project-URL: Documentation, https://markupsafe.palletsprojects.com/
Project-URL: Changes, https://markupsafe.palletsprojects.com/changes/
Project-URL: Source Code, https://github.com/pallets/markupsafe/
Project-URL: Issue Tracker, https://github.com/pallets/markupsafe/issues/
Project-URL: Chat, https://discord.gg/pallets
Classifier: Development Status :: 5 - Production/Stable
Classifier: Environment :: Web Environment
Classifier: Intended Audience :: Developers
Classifier: License :: OSI Approved :: BSD License
Classifier: Operating System :: OS Independent
Classifier: Programming Language :: Python
Classifier: Topic :: Internet :: WWW/HTTP :: Dynamic Content
Classifier: Topic :: Text Processing :: Markup :: HTML
Requires-Python: >=3.7
Description-Content-Type: text/x-rst
License-File: LICENSE.rst
MarkupSafe
==========
MarkupSafe implements a text object that escapes characters so it is
safe to use in HTML and XML. Characters that have special meanings are
replaced so that they display as the actual characters. This mitigates
injection attacks, meaning untrusted user input can safely be displayed
on a page.
Installing
----------
Install and update using `pip`_:
.. code-block:: text
pip install -U MarkupSafe
.. _pip: https://pip.pypa.io/en/stable/getting-started/
Examples
--------
.. code-block:: pycon
>>> from markupsafe import Markup, escape
>>> # escape replaces special characters and wraps in Markup
>>> escape("<script>alert(document.cookie);</script>")
Markup('&lt;script&gt;alert(document.cookie);&lt;/script&gt;')
>>> # wrap in Markup to mark text "safe" and prevent escaping
>>> Markup("<strong>Hello</strong>")
Markup('<strong>hello</strong>')
>>> escape(Markup("<strong>Hello</strong>"))
Markup('<strong>hello</strong>')
>>> # Markup is a str subclass
>>> # methods and operators escape their arguments
>>> template = Markup("Hello <em>{name}</em>")
>>> template.format(name='"World"')
Markup('Hello <em>&#34;World&#34;</em>')
Donate
------
The Pallets organization develops and supports MarkupSafe and other
popular packages. In order to grow the community of contributors and
users, and allow the maintainers to devote more time to the projects,
`please donate today`_.
.. _please donate today: https://palletsprojects.com/donate
Links
-----
- Documentation: https://markupsafe.palletsprojects.com/
- Changes: https://markupsafe.palletsprojects.com/changes/
- PyPI Releases: https://pypi.org/project/MarkupSafe/
- Source Code: https://github.com/pallets/markupsafe/
- Issue Tracker: https://github.com/pallets/markupsafe/issues/
- Chat: https://discord.gg/pallets
myenv/Lib/site-packages/MarkupSafe-2.1.5.dist-info/RECORD
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Wheel-Version: 1.0
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myenv/Lib/site-packages/MarkupSafe-2.1.5.dist-info/top_level.txt
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myenv/Lib/site-packages/PySocks-1.7.1.dist-info/INSTALLER
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myenv/Lib/site-packages/PySocks-1.7.1.dist-info/LICENSE
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Copyright 2006 Dan-Haim. All rights reserved.
Redistribution and use in source and binary forms, with or without modification,
are permitted provided that the following conditions are met:
1. Redistributions of source code must retain the above copyright notice, this
list of conditions and the following disclaimer.
2. Redistributions in binary form must reproduce the above copyright notice,
this list of conditions and the following disclaimer in the documentation
and/or other materials provided with the distribution.
3. Neither the name of Dan Haim nor the names of his contributors may be used
to endorse or promote products derived from this software without specific
prior written permission.
THIS SOFTWARE IS PROVIDED BY DAN HAIM "AS IS" AND ANY EXPRESS OR IMPLIED
WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE IMPLIED WARRANTIES OF
MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE DISCLAIMED. IN NO
EVENT SHALL DAN HAIM OR HIS CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT,
INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT
LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA
OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF
LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT
OF THE USE OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMANGE.
myenv/Lib/site-packages/PySocks-1.7.1.dist-info/METADATA
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Metadata-Version: 2.1
Name: PySocks
Version: 1.7.1
Summary: A Python SOCKS client module. See https://github.com/Anorov/PySocks for more information.
Home-page: https://github.com/Anorov/PySocks
Author: Anorov
Author-email: anorov.vorona@gmail.com
License: BSD
Keywords: socks,proxy
Platform: UNKNOWN
Classifier: Programming Language :: Python :: 2
Classifier: Programming Language :: Python :: 2.7
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.4
Classifier: Programming Language :: Python :: 3.5
Classifier: Programming Language :: Python :: 3.6
Requires-Python: >=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*
Description-Content-Type: text/markdown
PySocks
=======
PySocks lets you send traffic through SOCKS and HTTP proxy servers. It is a modern fork of [SocksiPy](http://socksipy.sourceforge.net/) with bug fixes and extra features.
Acts as a drop-in replacement to the socket module. Seamlessly configure SOCKS proxies for any socket object by calling `socket_object.set_proxy()`.
----------------
Features
========
* SOCKS proxy client for Python 2.7 and 3.4+
* TCP supported
* UDP mostly supported (issues may occur in some edge cases)
* HTTP proxy client included but not supported or recommended (you should use urllib2's or requests' own HTTP proxy interface)
* urllib2 handler included. `pip install` / `setup.py install` will automatically install the `sockshandler` module.
Installation
============
pip install PySocks
Or download the tarball / `git clone` and...
python setup.py install
These will install both the `socks` and `sockshandler` modules.
Alternatively, include just `socks.py` in your project.
--------------------------------------------
*Warning:* PySocks/SocksiPy only supports HTTP proxies that use CONNECT tunneling. Certain HTTP proxies may not work with this library. If you wish to use HTTP (not SOCKS) proxies, it is recommended that you rely on your HTTP client's native proxy support (`proxies` dict for `requests`, or `urllib2.ProxyHandler` for `urllib2`) instead.
--------------------------------------------
Usage
=====
## socks.socksocket ##
import socks
s = socks.socksocket() # Same API as socket.socket in the standard lib
s.set_proxy(socks.SOCKS5, "localhost") # SOCKS4 and SOCKS5 use port 1080 by default
# Or
s.set_proxy(socks.SOCKS4, "localhost", 4444)
# Or
s.set_proxy(socks.HTTP, "5.5.5.5", 8888)
# Can be treated identical to a regular socket object
s.connect(("www.somesite.com", 80))
s.sendall("GET / HTTP/1.1 ...")
print s.recv(4096)
## Monkeypatching ##
To monkeypatch the entire standard library with a single default proxy:
import urllib2
import socket
import socks
socks.set_default_proxy(socks.SOCKS5, "localhost")
socket.socket = socks.socksocket
urllib2.urlopen("http://www.somesite.com/") # All requests will pass through the SOCKS proxy
Note that monkeypatching may not work for all standard modules or for all third party modules, and generally isn't recommended. Monkeypatching is usually an anti-pattern in Python.
## urllib2 Handler ##
Example use case with the `sockshandler` urllib2 handler. Note that you must import both `socks` and `sockshandler`, as the handler is its own module separate from PySocks. The module is included in the PyPI package.
import urllib2
import socks
from sockshandler import SocksiPyHandler
opener = urllib2.build_opener(SocksiPyHandler(socks.SOCKS5, "127.0.0.1", 9050))
print opener.open("http://www.somesite.com/") # All requests made by the opener will pass through the SOCKS proxy
--------------------------------------------
Original SocksiPy README attached below, amended to reflect API changes.
--------------------------------------------
SocksiPy
A Python SOCKS module.
(C) 2006 Dan-Haim. All rights reserved.
See LICENSE file for details.
*WHAT IS A SOCKS PROXY?*
A SOCKS proxy is a proxy server at the TCP level. In other words, it acts as
a tunnel, relaying all traffic going through it without modifying it.
SOCKS proxies can be used to relay traffic using any network protocol that
uses TCP.
*WHAT IS SOCKSIPY?*
This Python module allows you to create TCP connections through a SOCKS
proxy without any special effort.
It also supports relaying UDP packets with a SOCKS5 proxy.
*PROXY COMPATIBILITY*
SocksiPy is compatible with three different types of proxies:
1. SOCKS Version 4 (SOCKS4), including the SOCKS4a extension.
2. SOCKS Version 5 (SOCKS5).
3. HTTP Proxies which support tunneling using the CONNECT method.
*SYSTEM REQUIREMENTS*
Being written in Python, SocksiPy can run on any platform that has a Python
interpreter and TCP/IP support.
This module has been tested with Python 2.3 and should work with greater versions
just as well.
INSTALLATION
-------------
Simply copy the file "socks.py" to your Python's `lib/site-packages` directory,
and you're ready to go. [Editor's note: it is better to use `python setup.py install` for PySocks]
USAGE
------
First load the socks module with the command:
>>> import socks
>>>
The socks module provides a class called `socksocket`, which is the base to all of the module's functionality.
The `socksocket` object has the same initialization parameters as the normal socket
object to ensure maximal compatibility, however it should be noted that `socksocket` will only function with family being `AF_INET` and
type being either `SOCK_STREAM` or `SOCK_DGRAM`.
Generally, it is best to initialize the `socksocket` object with no parameters
>>> s = socks.socksocket()
>>>
The `socksocket` object has an interface which is very similiar to socket's (in fact
the `socksocket` class is derived from socket) with a few extra methods.
To select the proxy server you would like to use, use the `set_proxy` method, whose
syntax is:
set_proxy(proxy_type, addr[, port[, rdns[, username[, password]]]])
Explanation of the parameters:
`proxy_type` - The type of the proxy server. This can be one of three possible
choices: `PROXY_TYPE_SOCKS4`, `PROXY_TYPE_SOCKS5` and `PROXY_TYPE_HTTP` for SOCKS4,
SOCKS5 and HTTP servers respectively. `SOCKS4`, `SOCKS5`, and `HTTP` are all aliases, respectively.
`addr` - The IP address or DNS name of the proxy server.
`port` - The port of the proxy server. Defaults to 1080 for socks and 8080 for http.
`rdns` - This is a boolean flag than modifies the behavior regarding DNS resolving.
If it is set to True, DNS resolving will be preformed remotely, on the server.
If it is set to False, DNS resolving will be preformed locally. Please note that
setting this to True with SOCKS4 servers actually use an extension to the protocol,
called SOCKS4a, which may not be supported on all servers (SOCKS5 and http servers
always support DNS). The default is True.
`username` - For SOCKS5 servers, this allows simple username / password authentication
with the server. For SOCKS4 servers, this parameter will be sent as the userid.
This parameter is ignored if an HTTP server is being used. If it is not provided,
authentication will not be used (servers may accept unauthenticated requests).
`password` - This parameter is valid only for SOCKS5 servers and specifies the
respective password for the username provided.
Example of usage:
>>> s.set_proxy(socks.SOCKS5, "socks.example.com") # uses default port 1080
>>> s.set_proxy(socks.SOCKS4, "socks.test.com", 1081)
After the set_proxy method has been called, simply call the connect method with the
traditional parameters to establish a connection through the proxy:
>>> s.connect(("www.sourceforge.net", 80))
>>>
Connection will take a bit longer to allow negotiation with the proxy server.
Please note that calling connect without calling `set_proxy` earlier will connect
without a proxy (just like a regular socket).
Errors: Any errors in the connection process will trigger exceptions. The exception
may either be generated by the underlying socket layer or may be custom module
exceptions, whose details follow:
class `ProxyError` - This is a base exception class. It is not raised directly but
rather all other exception classes raised by this module are derived from it.
This allows an easy way to catch all proxy-related errors. It descends from `IOError`.
All `ProxyError` exceptions have an attribute `socket_err`, which will contain either a
caught `socket.error` exception, or `None` if there wasn't any.
class `GeneralProxyError` - When thrown, it indicates a problem which does not fall
into another category.
* `Sent invalid data` - This error means that unexpected data has been received from
the server. The most common reason is that the server specified as the proxy is
not really a SOCKS4/SOCKS5/HTTP proxy, or maybe the proxy type specified is wrong.
* `Connection closed unexpectedly` - The proxy server unexpectedly closed the connection.
This may indicate that the proxy server is experiencing network or software problems.
* `Bad proxy type` - This will be raised if the type of the proxy supplied to the
set_proxy function was not one of `SOCKS4`/`SOCKS5`/`HTTP`.
* `Bad input` - This will be raised if the `connect()` method is called with bad input
parameters.
class `SOCKS5AuthError` - This indicates that the connection through a SOCKS5 server
failed due to an authentication problem.
* `Authentication is required` - This will happen if you use a SOCKS5 server which
requires authentication without providing a username / password at all.
* `All offered authentication methods were rejected` - This will happen if the proxy
requires a special authentication method which is not supported by this module.
* `Unknown username or invalid password` - Self descriptive.
class `SOCKS5Error` - This will be raised for SOCKS5 errors which are not related to
authentication.
The parameter is a tuple containing a code, as given by the server,
and a description of the
error. The possible errors, according to the RFC, are:
* `0x01` - General SOCKS server failure - If for any reason the proxy server is unable to
fulfill your request (internal server error).
* `0x02` - connection not allowed by ruleset - If the address you're trying to connect to
is blacklisted on the server or requires authentication.
* `0x03` - Network unreachable - The target could not be contacted. A router on the network
had replied with a destination net unreachable error.
* `0x04` - Host unreachable - The target could not be contacted. A router on the network
had replied with a destination host unreachable error.
* `0x05` - Connection refused - The target server has actively refused the connection
(the requested port is closed).
* `0x06` - TTL expired - The TTL value of the SYN packet from the proxy to the target server
has expired. This usually means that there are network problems causing the packet
to be caught in a router-to-router "ping-pong".
* `0x07` - Command not supported - For instance if the server does not support UDP.
* `0x08` - Address type not supported - The client has provided an invalid address type.
When using this module, this error should not occur.
class `SOCKS4Error` - This will be raised for SOCKS4 errors. The parameter is a tuple
containing a code and a description of the error, as given by the server. The
possible error, according to the specification are:
* `0x5B` - Request rejected or failed - Will be raised in the event of an failure for any
reason other then the two mentioned next.
* `0x5C` - request rejected because SOCKS server cannot connect to identd on the client -
The Socks server had tried an ident lookup on your computer and has failed. In this
case you should run an identd server and/or configure your firewall to allow incoming
connections to local port 113 from the remote server.
* `0x5D` - request rejected because the client program and identd report different user-ids -
The Socks server had performed an ident lookup on your computer and has received a
different userid than the one you have provided. Change your userid (through the
username parameter of the set_proxy method) to match and try again.
class `HTTPError` - This will be raised for HTTP errors. The message will contain
the HTTP status code and provided error message.
After establishing the connection, the object behaves like a standard socket.
Methods like `makefile()` and `settimeout()` should behave just like regular sockets.
Call the `close()` method to close the connection.
In addition to the `socksocket` class, an additional function worth mentioning is the
`set_default_proxy` function. The parameters are the same as the `set_proxy` method.
This function will set default proxy settings for newly created `socksocket` objects,
in which the proxy settings haven't been changed via the `set_proxy` method.
This is quite useful if you wish to force 3rd party modules to use a SOCKS proxy,
by overriding the socket object.
For example:
>>> socks.set_default_proxy(socks.SOCKS5, "socks.example.com")
>>> socket.socket = socks.socksocket
>>> urllib.urlopen("http://www.sourceforge.net/")
PROBLEMS
---------
Please open a GitHub issue at https://github.com/Anorov/PySocks
myenv/Lib/site-packages/PySocks-1.7.1.dist-info/RECORD
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Wheel-Version: 1.0
Generator: bdist_wheel (0.33.3)
Root-Is-Purelib: true
Tag: py3-none-any
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sockshandler
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# SPDX-License-Identifier: MIT
"""
Classes Without Boilerplate
"""
from functools import partial
from typing import Callable, Literal, Protocol
from . import converters, exceptions, filters, setters, validators
from ._cmp import cmp_using
from ._config import get_run_validators, set_run_validators
from ._funcs import asdict, assoc, astuple, has, resolve_types
from ._make import (
NOTHING,
Attribute,
Converter,
Factory,
_Nothing,
attrib,
attrs,
evolve,
fields,
fields_dict,
make_class,
validate,
)
from ._next_gen import define, field, frozen, mutable
from ._version_info import VersionInfo
s = attributes = attrs
ib = attr = attrib
dataclass = partial(attrs, auto_attribs=True) # happy Easter ;)
class AttrsInstance(Protocol):
pass
NothingType = Literal[_Nothing.NOTHING]
__all__ = [
"NOTHING",
"Attribute",
"AttrsInstance",
"Converter",
"Factory",
"NothingType",
"asdict",
"assoc",
"astuple",
"attr",
"attrib",
"attributes",
"attrs",
"cmp_using",
"converters",
"define",
"evolve",
"exceptions",
"field",
"fields",
"fields_dict",
"filters",
"frozen",
"get_run_validators",
"has",
"ib",
"make_class",
"mutable",
"resolve_types",
"s",
"set_run_validators",
"setters",
"validate",
"validators",
]
def _make_getattr(mod_name: str) -> Callable:
"""
Create a metadata proxy for packaging information that uses *mod_name* in
its warnings and errors.
"""
def __getattr__(name: str) -> str:
if name not in ("__version__", "__version_info__"):
msg = f"module {mod_name} has no attribute {name}"
raise AttributeError(msg)
from importlib.metadata import metadata
meta = metadata("attrs")
if name == "__version_info__":
return VersionInfo._from_version_string(meta["version"])
return meta["version"]
return __getattr__
__getattr__ = _make_getattr(__name__)
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import enum
import sys
from typing import (
Any,
Callable,
Generic,
Literal,
Mapping,
Protocol,
Sequence,
TypeVar,
overload,
)
# `import X as X` is required to make these public
from . import converters as converters
from . import exceptions as exceptions
from . import filters as filters
from . import setters as setters
from . import validators as validators
from ._cmp import cmp_using as cmp_using
from ._typing_compat import AttrsInstance_
from ._version_info import VersionInfo
from attrs import (
define as define,
field as field,
mutable as mutable,
frozen as frozen,
_EqOrderType,
_ValidatorType,
_ConverterType,
_ReprArgType,
_OnSetAttrType,
_OnSetAttrArgType,
_FieldTransformer,
_ValidatorArgType,
)
if sys.version_info >= (3, 10):
from typing import TypeGuard, TypeAlias
else:
from typing_extensions import TypeGuard, TypeAlias
if sys.version_info >= (3, 11):
from typing import dataclass_transform
else:
from typing_extensions import dataclass_transform
__version__: str
__version_info__: VersionInfo
__title__: str
__description__: str
__url__: str
__uri__: str
__author__: str
__email__: str
__license__: str
__copyright__: str
_T = TypeVar("_T")
_C = TypeVar("_C", bound=type)
_FilterType = Callable[["Attribute[_T]", _T], bool]
# We subclass this here to keep the protocol's qualified name clean.
class AttrsInstance(AttrsInstance_, Protocol):
pass
_A = TypeVar("_A", bound=type[AttrsInstance])
class _Nothing(enum.Enum):
NOTHING = enum.auto()
NOTHING = _Nothing.NOTHING
NothingType: TypeAlias = Literal[_Nothing.NOTHING]
# NOTE: Factory lies about its return type to make this possible:
# `x: List[int] # = Factory(list)`
# Work around mypy issue #4554 in the common case by using an overload.
@overload
def Factory(factory: Callable[[], _T]) -> _T: ...
@overload
def Factory(
factory: Callable[[Any], _T],
takes_self: Literal[True],
) -> _T: ...
@overload
def Factory(
factory: Callable[[], _T],
takes_self: Literal[False],
) -> _T: ...
In = TypeVar("In")
Out = TypeVar("Out")
class Converter(Generic[In, Out]):
@overload
def __init__(self, converter: Callable[[In], Out]) -> None: ...
@overload
def __init__(
self,
converter: Callable[[In, AttrsInstance, Attribute], Out],
*,
takes_self: Literal[True],
takes_field: Literal[True],
) -> None: ...
@overload
def __init__(
self,
converter: Callable[[In, Attribute], Out],
*,
takes_field: Literal[True],
) -> None: ...
@overload
def __init__(
self,
converter: Callable[[In, AttrsInstance], Out],
*,
takes_self: Literal[True],
) -> None: ...
class Attribute(Generic[_T]):
name: str
default: _T | None
validator: _ValidatorType[_T] | None
repr: _ReprArgType
cmp: _EqOrderType
eq: _EqOrderType
order: _EqOrderType
hash: bool | None
init: bool
converter: Converter | None
metadata: dict[Any, Any]
type: type[_T] | None
kw_only: bool
on_setattr: _OnSetAttrType
alias: str | None
def evolve(self, **changes: Any) -> "Attribute[Any]": ...
# NOTE: We had several choices for the annotation to use for type arg:
# 1) Type[_T]
# - Pros: Handles simple cases correctly
# - Cons: Might produce less informative errors in the case of conflicting
# TypeVars e.g. `attr.ib(default='bad', type=int)`
# 2) Callable[..., _T]
# - Pros: Better error messages than #1 for conflicting TypeVars
# - Cons: Terrible error messages for validator checks.
# e.g. attr.ib(type=int, validator=validate_str)
# -> error: Cannot infer function type argument
# 3) type (and do all of the work in the mypy plugin)
# - Pros: Simple here, and we could customize the plugin with our own errors.
# - Cons: Would need to write mypy plugin code to handle all the cases.
# We chose option #1.
# `attr` lies about its return type to make the following possible:
# attr() -> Any
# attr(8) -> int
# attr(validator=<some callable>) -> Whatever the callable expects.
# This makes this type of assignments possible:
# x: int = attr(8)
#
# This form catches explicit None or no default but with no other arguments
# returns Any.
@overload
def attrib(
default: None = ...,
validator: None = ...,
repr: _ReprArgType = ...,
cmp: _EqOrderType | None = ...,
hash: bool | None = ...,
init: bool = ...,
metadata: Mapping[Any, Any] | None = ...,
type: None = ...,
converter: None = ...,
factory: None = ...,
kw_only: bool = ...,
eq: _EqOrderType | None = ...,
order: _EqOrderType | None = ...,
on_setattr: _OnSetAttrArgType | None = ...,
alias: str | None = ...,
) -> Any: ...
# This form catches an explicit None or no default and infers the type from the
# other arguments.
@overload
def attrib(
default: None = ...,
validator: _ValidatorArgType[_T] | None = ...,
repr: _ReprArgType = ...,
cmp: _EqOrderType | None = ...,
hash: bool | None = ...,
init: bool = ...,
metadata: Mapping[Any, Any] | None = ...,
type: type[_T] | None = ...,
converter: _ConverterType
| list[_ConverterType]
| tuple[_ConverterType]
| None = ...,
factory: Callable[[], _T] | None = ...,
kw_only: bool = ...,
eq: _EqOrderType | None = ...,
order: _EqOrderType | None = ...,
on_setattr: _OnSetAttrArgType | None = ...,
alias: str | None = ...,
) -> _T: ...
# This form catches an explicit default argument.
@overload
def attrib(
default: _T,
validator: _ValidatorArgType[_T] | None = ...,
repr: _ReprArgType = ...,
cmp: _EqOrderType | None = ...,
hash: bool | None = ...,
init: bool = ...,
metadata: Mapping[Any, Any] | None = ...,
type: type[_T] | None = ...,
converter: _ConverterType
| list[_ConverterType]
| tuple[_ConverterType]
| None = ...,
factory: Callable[[], _T] | None = ...,
kw_only: bool = ...,
eq: _EqOrderType | None = ...,
order: _EqOrderType | None = ...,
on_setattr: _OnSetAttrArgType | None = ...,
alias: str | None = ...,
) -> _T: ...
# This form covers type=non-Type: e.g. forward references (str), Any
@overload
def attrib(
default: _T | None = ...,
validator: _ValidatorArgType[_T] | None = ...,
repr: _ReprArgType = ...,
cmp: _EqOrderType | None = ...,
hash: bool | None = ...,
init: bool = ...,
metadata: Mapping[Any, Any] | None = ...,
type: object = ...,
converter: _ConverterType
| list[_ConverterType]
| tuple[_ConverterType]
| None = ...,
factory: Callable[[], _T] | None = ...,
kw_only: bool = ...,
eq: _EqOrderType | None = ...,
order: _EqOrderType | None = ...,
on_setattr: _OnSetAttrArgType | None = ...,
alias: str | None = ...,
) -> Any: ...
@overload
@dataclass_transform(order_default=True, field_specifiers=(attrib, field))
def attrs(
maybe_cls: _C,
these: dict[str, Any] | None = ...,
repr_ns: str | None = ...,
repr: bool = ...,
cmp: _EqOrderType | None = ...,
hash: bool | None = ...,
init: bool = ...,
slots: bool = ...,
frozen: bool = ...,
weakref_slot: bool = ...,
str: bool = ...,
auto_attribs: bool = ...,
kw_only: bool = ...,
cache_hash: bool = ...,
auto_exc: bool = ...,
eq: _EqOrderType | None = ...,
order: _EqOrderType | None = ...,
auto_detect: bool = ...,
collect_by_mro: bool = ...,
getstate_setstate: bool | None = ...,
on_setattr: _OnSetAttrArgType | None = ...,
field_transformer: _FieldTransformer | None = ...,
match_args: bool = ...,
unsafe_hash: bool | None = ...,
) -> _C: ...
@overload
@dataclass_transform(order_default=True, field_specifiers=(attrib, field))
def attrs(
maybe_cls: None = ...,
these: dict[str, Any] | None = ...,
repr_ns: str | None = ...,
repr: bool = ...,
cmp: _EqOrderType | None = ...,
hash: bool | None = ...,
init: bool = ...,
slots: bool = ...,
frozen: bool = ...,
weakref_slot: bool = ...,
str: bool = ...,
auto_attribs: bool = ...,
kw_only: bool = ...,
cache_hash: bool = ...,
auto_exc: bool = ...,
eq: _EqOrderType | None = ...,
order: _EqOrderType | None = ...,
auto_detect: bool = ...,
collect_by_mro: bool = ...,
getstate_setstate: bool | None = ...,
on_setattr: _OnSetAttrArgType | None = ...,
field_transformer: _FieldTransformer | None = ...,
match_args: bool = ...,
unsafe_hash: bool | None = ...,
) -> Callable[[_C], _C]: ...
def fields(cls: type[AttrsInstance]) -> Any: ...
def fields_dict(cls: type[AttrsInstance]) -> dict[str, Attribute[Any]]: ...
def validate(inst: AttrsInstance) -> None: ...
def resolve_types(
cls: _A,
globalns: dict[str, Any] | None = ...,
localns: dict[str, Any] | None = ...,
attribs: list[Attribute[Any]] | None = ...,
include_extras: bool = ...,
) -> _A: ...
# TODO: add support for returning a proper attrs class from the mypy plugin
# we use Any instead of _CountingAttr so that e.g. `make_class('Foo',
# [attr.ib()])` is valid
def make_class(
name: str,
attrs: list[str] | tuple[str, ...] | dict[str, Any],
bases: tuple[type, ...] = ...,
class_body: dict[str, Any] | None = ...,
repr_ns: str | None = ...,
repr: bool = ...,
cmp: _EqOrderType | None = ...,
hash: bool | None = ...,
init: bool = ...,
slots: bool = ...,
frozen: bool = ...,
weakref_slot: bool = ...,
str: bool = ...,
auto_attribs: bool = ...,
kw_only: bool = ...,
cache_hash: bool = ...,
auto_exc: bool = ...,
eq: _EqOrderType | None = ...,
order: _EqOrderType | None = ...,
collect_by_mro: bool = ...,
on_setattr: _OnSetAttrArgType | None = ...,
field_transformer: _FieldTransformer | None = ...,
) -> type: ...
# _funcs --
# TODO: add support for returning TypedDict from the mypy plugin
# FIXME: asdict/astuple do not honor their factory args. Waiting on one of
# these:
# https://github.com/python/mypy/issues/4236
# https://github.com/python/typing/issues/253
# XXX: remember to fix attrs.asdict/astuple too!
def asdict(
inst: AttrsInstance,
recurse: bool = ...,
filter: _FilterType[Any] | None = ...,
dict_factory: type[Mapping[Any, Any]] = ...,
retain_collection_types: bool = ...,
value_serializer: Callable[[type, Attribute[Any], Any], Any] | None = ...,
tuple_keys: bool | None = ...,
) -> dict[str, Any]: ...
# TODO: add support for returning NamedTuple from the mypy plugin
def astuple(
inst: AttrsInstance,
recurse: bool = ...,
filter: _FilterType[Any] | None = ...,
tuple_factory: type[Sequence[Any]] = ...,
retain_collection_types: bool = ...,
) -> tuple[Any, ...]: ...
def has(cls: type) -> TypeGuard[type[AttrsInstance]]: ...
def assoc(inst: _T, **changes: Any) -> _T: ...
def evolve(inst: _T, **changes: Any) -> _T: ...
# _config --
def set_run_validators(run: bool) -> None: ...
def get_run_validators() -> bool: ...
# aliases --
s = attributes = attrs
ib = attr = attrib
dataclass = attrs # Technically, partial(attrs, auto_attribs=True) ;)
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myenv/Lib/site-packages/attr/_cmp.py
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# SPDX-License-Identifier: MIT
import functools
import types
from ._make import __ne__
_operation_names = {"eq": "==", "lt": "<", "le": "<=", "gt": ">", "ge": ">="}
def cmp_using(
eq=None,
lt=None,
le=None,
gt=None,
ge=None,
require_same_type=True,
class_name="Comparable",
):
"""
Create a class that can be passed into `attrs.field`'s ``eq``, ``order``,
and ``cmp`` arguments to customize field comparison.
The resulting class will have a full set of ordering methods if at least
one of ``{lt, le, gt, ge}`` and ``eq`` are provided.
Args:
eq (typing.Callable | None):
Callable used to evaluate equality of two objects.
lt (typing.Callable | None):
Callable used to evaluate whether one object is less than another
object.
le (typing.Callable | None):
Callable used to evaluate whether one object is less than or equal
to another object.
gt (typing.Callable | None):
Callable used to evaluate whether one object is greater than
another object.
ge (typing.Callable | None):
Callable used to evaluate whether one object is greater than or
equal to another object.
require_same_type (bool):
When `True`, equality and ordering methods will return
`NotImplemented` if objects are not of the same type.
class_name (str | None): Name of class. Defaults to "Comparable".
See `comparison` for more details.
.. versionadded:: 21.1.0
"""
body = {
"__slots__": ["value"],
"__init__": _make_init(),
"_requirements": [],
"_is_comparable_to": _is_comparable_to,
}
# Add operations.
num_order_functions = 0
has_eq_function = False
if eq is not None:
has_eq_function = True
body["__eq__"] = _make_operator("eq", eq)
body["__ne__"] = __ne__
if lt is not None:
num_order_functions += 1
body["__lt__"] = _make_operator("lt", lt)
if le is not None:
num_order_functions += 1
body["__le__"] = _make_operator("le", le)
if gt is not None:
num_order_functions += 1
body["__gt__"] = _make_operator("gt", gt)
if ge is not None:
num_order_functions += 1
body["__ge__"] = _make_operator("ge", ge)
type_ = types.new_class(
class_name, (object,), {}, lambda ns: ns.update(body)
)
# Add same type requirement.
if require_same_type:
type_._requirements.append(_check_same_type)
# Add total ordering if at least one operation was defined.
if 0 < num_order_functions < 4:
if not has_eq_function:
# functools.total_ordering requires __eq__ to be defined,
# so raise early error here to keep a nice stack.
msg = "eq must be define is order to complete ordering from lt, le, gt, ge."
raise ValueError(msg)
type_ = functools.total_ordering(type_)
return type_
def _make_init():
"""
Create __init__ method.
"""
def __init__(self, value):
"""
Initialize object with *value*.
"""
self.value = value
return __init__
def _make_operator(name, func):
"""
Create operator method.
"""
def method(self, other):
if not self._is_comparable_to(other):
return NotImplemented
result = func(self.value, other.value)
if result is NotImplemented:
return NotImplemented
return result
method.__name__ = f"__{name}__"
method.__doc__ = (
f"Return a {_operation_names[name]} b. Computed by attrs."
)
return method
def _is_comparable_to(self, other):
"""
Check whether `other` is comparable to `self`.
"""
return all(func(self, other) for func in self._requirements)
def _check_same_type(self, other):
"""
Return True if *self* and *other* are of the same type, False otherwise.
"""
return other.value.__class__ is self.value.__class__
myenv/Lib/site-packages/attr/_cmp.pyi
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@@ -1,13 +0,0 @@
from typing import Any, Callable
_CompareWithType = Callable[[Any, Any], bool]
def cmp_using(
eq: _CompareWithType | None = ...,
lt: _CompareWithType | None = ...,
le: _CompareWithType | None = ...,
gt: _CompareWithType | None = ...,
ge: _CompareWithType | None = ...,
require_same_type: bool = ...,
class_name: str = ...,
) -> type: ...
myenv/Lib/site-packages/attr/_compat.py
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@@ -1,94 +0,0 @@
# SPDX-License-Identifier: MIT
import inspect
import platform
import sys
import threading
from collections.abc import Mapping, Sequence # noqa: F401
from typing import _GenericAlias
PYPY = platform.python_implementation() == "PyPy"
PY_3_9_PLUS = sys.version_info[:2] >= (3, 9)
PY_3_10_PLUS = sys.version_info[:2] >= (3, 10)
PY_3_11_PLUS = sys.version_info[:2] >= (3, 11)
PY_3_12_PLUS = sys.version_info[:2] >= (3, 12)
PY_3_13_PLUS = sys.version_info[:2] >= (3, 13)
PY_3_14_PLUS = sys.version_info[:2] >= (3, 14)
if PY_3_14_PLUS: # pragma: no cover
import annotationlib
_get_annotations = annotationlib.get_annotations
else:
def _get_annotations(cls):
"""
Get annotations for *cls*.
"""
return cls.__dict__.get("__annotations__", {})
class _AnnotationExtractor:
"""
Extract type annotations from a callable, returning None whenever there
is none.
"""
__slots__ = ["sig"]
def __init__(self, callable):
try:
self.sig = inspect.signature(callable)
except (ValueError, TypeError): # inspect failed
self.sig = None
def get_first_param_type(self):
"""
Return the type annotation of the first argument if it's not empty.
"""
if not self.sig:
return None
params = list(self.sig.parameters.values())
if params and params[0].annotation is not inspect.Parameter.empty:
return params[0].annotation
return None
def get_return_type(self):
"""
Return the return type if it's not empty.
"""
if (
self.sig
and self.sig.return_annotation is not inspect.Signature.empty
):
return self.sig.return_annotation
return None
# Thread-local global to track attrs instances which are already being repr'd.
# This is needed because there is no other (thread-safe) way to pass info
# about the instances that are already being repr'd through the call stack
# in order to ensure we don't perform infinite recursion.
#
# For instance, if an instance contains a dict which contains that instance,
# we need to know that we're already repr'ing the outside instance from within
# the dict's repr() call.
#
# This lives here rather than in _make.py so that the functions in _make.py
# don't have a direct reference to the thread-local in their globals dict.
# If they have such a reference, it breaks cloudpickle.
repr_context = threading.local()
def get_generic_base(cl):
"""If this is a generic class (A[str]), return the generic base for it."""
if cl.__class__ is _GenericAlias:
return cl.__origin__
return None
myenv/Lib/site-packages/attr/_config.py
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@@ -1,31 +0,0 @@
# SPDX-License-Identifier: MIT
__all__ = ["get_run_validators", "set_run_validators"]
_run_validators = True
def set_run_validators(run):
"""
Set whether or not validators are run. By default, they are run.
.. deprecated:: 21.3.0 It will not be removed, but it also will not be
moved to new ``attrs`` namespace. Use `attrs.validators.set_disabled()`
instead.
"""
if not isinstance(run, bool):
msg = "'run' must be bool."
raise TypeError(msg)
global _run_validators
_run_validators = run
def get_run_validators():
"""
Return whether or not validators are run.
.. deprecated:: 21.3.0 It will not be removed, but it also will not be
moved to new ``attrs`` namespace. Use `attrs.validators.get_disabled()`
instead.
"""
return _run_validators
myenv/Lib/site-packages/attr/_funcs.py
-468
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@@ -1,468 +0,0 @@
# SPDX-License-Identifier: MIT
import copy
from ._compat import PY_3_9_PLUS, get_generic_base
from ._make import _OBJ_SETATTR, NOTHING, fields
from .exceptions import AttrsAttributeNotFoundError
def asdict(
inst,
recurse=True,
filter=None,
dict_factory=dict,
retain_collection_types=False,
value_serializer=None,
):
"""
Return the *attrs* attribute values of *inst* as a dict.
Optionally recurse into other *attrs*-decorated classes.
Args:
inst: Instance of an *attrs*-decorated class.
recurse (bool): Recurse into classes that are also *attrs*-decorated.
filter (~typing.Callable):
A callable whose return code determines whether an attribute or
element is included (`True`) or dropped (`False`). Is called with
the `attrs.Attribute` as the first argument and the value as the
second argument.
dict_factory (~typing.Callable):
A callable to produce dictionaries from. For example, to produce
ordered dictionaries instead of normal Python dictionaries, pass in
``collections.OrderedDict``.
retain_collection_types (bool):
Do not convert to `list` when encountering an attribute whose type
is `tuple` or `set`. Only meaningful if *recurse* is `True`.
value_serializer (typing.Callable | None):
A hook that is called for every attribute or dict key/value. It
receives the current instance, field and value and must return the
(updated) value. The hook is run *after* the optional *filter* has
been applied.
Returns:
Return type of *dict_factory*.
Raises:
attrs.exceptions.NotAnAttrsClassError:
If *cls* is not an *attrs* class.
.. versionadded:: 16.0.0 *dict_factory*
.. versionadded:: 16.1.0 *retain_collection_types*
.. versionadded:: 20.3.0 *value_serializer*
.. versionadded:: 21.3.0
If a dict has a collection for a key, it is serialized as a tuple.
"""
attrs = fields(inst.__class__)
rv = dict_factory()
for a in attrs:
v = getattr(inst, a.name)
if filter is not None and not filter(a, v):
continue
if value_serializer is not None:
v = value_serializer(inst, a, v)
if recurse is True:
if has(v.__class__):
rv[a.name] = asdict(
v,
recurse=True,
filter=filter,
dict_factory=dict_factory,
retain_collection_types=retain_collection_types,
value_serializer=value_serializer,
)
elif isinstance(v, (tuple, list, set, frozenset)):
cf = v.__class__ if retain_collection_types is True else list
items = [
_asdict_anything(
i,
is_key=False,
filter=filter,
dict_factory=dict_factory,
retain_collection_types=retain_collection_types,
value_serializer=value_serializer,
)
for i in v
]
try:
rv[a.name] = cf(items)
except TypeError:
if not issubclass(cf, tuple):
raise
# Workaround for TypeError: cf.__new__() missing 1 required
# positional argument (which appears, for a namedturle)
rv[a.name] = cf(*items)
elif isinstance(v, dict):
df = dict_factory
rv[a.name] = df(
(
_asdict_anything(
kk,
is_key=True,
filter=filter,
dict_factory=df,
retain_collection_types=retain_collection_types,
value_serializer=value_serializer,
),
_asdict_anything(
vv,
is_key=False,
filter=filter,
dict_factory=df,
retain_collection_types=retain_collection_types,
value_serializer=value_serializer,
),
)
for kk, vv in v.items()
)
else:
rv[a.name] = v
else:
rv[a.name] = v
return rv
def _asdict_anything(
val,
is_key,
filter,
dict_factory,
retain_collection_types,
value_serializer,
):
"""
``asdict`` only works on attrs instances, this works on anything.
"""
if getattr(val.__class__, "__attrs_attrs__", None) is not None:
# Attrs class.
rv = asdict(
val,
recurse=True,
filter=filter,
dict_factory=dict_factory,
retain_collection_types=retain_collection_types,
value_serializer=value_serializer,
)
elif isinstance(val, (tuple, list, set, frozenset)):
if retain_collection_types is True:
cf = val.__class__
elif is_key:
cf = tuple
else:
cf = list
rv = cf(
[
_asdict_anything(
i,
is_key=False,
filter=filter,
dict_factory=dict_factory,
retain_collection_types=retain_collection_types,
value_serializer=value_serializer,
)
for i in val
]
)
elif isinstance(val, dict):
df = dict_factory
rv = df(
(
_asdict_anything(
kk,
is_key=True,
filter=filter,
dict_factory=df,
retain_collection_types=retain_collection_types,
value_serializer=value_serializer,
),
_asdict_anything(
vv,
is_key=False,
filter=filter,
dict_factory=df,
retain_collection_types=retain_collection_types,
value_serializer=value_serializer,
),
)
for kk, vv in val.items()
)
else:
rv = val
if value_serializer is not None:
rv = value_serializer(None, None, rv)
return rv
def astuple(
inst,
recurse=True,
filter=None,
tuple_factory=tuple,
retain_collection_types=False,
):
"""
Return the *attrs* attribute values of *inst* as a tuple.
Optionally recurse into other *attrs*-decorated classes.
Args:
inst: Instance of an *attrs*-decorated class.
recurse (bool):
Recurse into classes that are also *attrs*-decorated.
filter (~typing.Callable):
A callable whose return code determines whether an attribute or
element is included (`True`) or dropped (`False`). Is called with
the `attrs.Attribute` as the first argument and the value as the
second argument.
tuple_factory (~typing.Callable):
A callable to produce tuples from. For example, to produce lists
instead of tuples.
retain_collection_types (bool):
Do not convert to `list` or `dict` when encountering an attribute
which type is `tuple`, `dict` or `set`. Only meaningful if
*recurse* is `True`.
Returns:
Return type of *tuple_factory*
Raises:
attrs.exceptions.NotAnAttrsClassError:
If *cls* is not an *attrs* class.
.. versionadded:: 16.2.0
"""
attrs = fields(inst.__class__)
rv = []
retain = retain_collection_types # Very long. :/
for a in attrs:
v = getattr(inst, a.name)
if filter is not None and not filter(a, v):
continue
if recurse is True:
if has(v.__class__):
rv.append(
astuple(
v,
recurse=True,
filter=filter,
tuple_factory=tuple_factory,
retain_collection_types=retain,
)
)
elif isinstance(v, (tuple, list, set, frozenset)):
cf = v.__class__ if retain is True else list
items = [
(
astuple(
j,
recurse=True,
filter=filter,
tuple_factory=tuple_factory,
retain_collection_types=retain,
)
if has(j.__class__)
else j
)
for j in v
]
try:
rv.append(cf(items))
except TypeError:
if not issubclass(cf, tuple):
raise
# Workaround for TypeError: cf.__new__() missing 1 required
# positional argument (which appears, for a namedturle)
rv.append(cf(*items))
elif isinstance(v, dict):
df = v.__class__ if retain is True else dict
rv.append(
df(
(
(
astuple(
kk,
tuple_factory=tuple_factory,
retain_collection_types=retain,
)
if has(kk.__class__)
else kk
),
(
astuple(
vv,
tuple_factory=tuple_factory,
retain_collection_types=retain,
)
if has(vv.__class__)
else vv
),
)
for kk, vv in v.items()
)
)
else:
rv.append(v)
else:
rv.append(v)
return rv if tuple_factory is list else tuple_factory(rv)
def has(cls):
"""
Check whether *cls* is a class with *attrs* attributes.
Args:
cls (type): Class to introspect.
Raises:
TypeError: If *cls* is not a class.
Returns:
bool:
"""
attrs = getattr(cls, "__attrs_attrs__", None)
if attrs is not None:
return True
# No attrs, maybe it's a specialized generic (A[str])?
generic_base = get_generic_base(cls)
if generic_base is not None:
generic_attrs = getattr(generic_base, "__attrs_attrs__", None)
if generic_attrs is not None:
# Stick it on here for speed next time.
cls.__attrs_attrs__ = generic_attrs
return generic_attrs is not None
return False
def assoc(inst, **changes):
"""
Copy *inst* and apply *changes*.
This is different from `evolve` that applies the changes to the arguments
that create the new instance.
`evolve`'s behavior is preferable, but there are `edge cases`_ where it
doesn't work. Therefore `assoc` is deprecated, but will not be removed.
.. _`edge cases`: https://github.com/python-attrs/attrs/issues/251
Args:
inst: Instance of a class with *attrs* attributes.
changes: Keyword changes in the new copy.
Returns:
A copy of inst with *changes* incorporated.
Raises:
attrs.exceptions.AttrsAttributeNotFoundError:
If *attr_name* couldn't be found on *cls*.
attrs.exceptions.NotAnAttrsClassError:
If *cls* is not an *attrs* class.
.. deprecated:: 17.1.0
Use `attrs.evolve` instead if you can. This function will not be
removed du to the slightly different approach compared to
`attrs.evolve`, though.
"""
new = copy.copy(inst)
attrs = fields(inst.__class__)
for k, v in changes.items():
a = getattr(attrs, k, NOTHING)
if a is NOTHING:
msg = f"{k} is not an attrs attribute on {new.__class__}."
raise AttrsAttributeNotFoundError(msg)
_OBJ_SETATTR(new, k, v)
return new
def resolve_types(
cls, globalns=None, localns=None, attribs=None, include_extras=True
):
"""
Resolve any strings and forward annotations in type annotations.
This is only required if you need concrete types in :class:`Attribute`'s
*type* field. In other words, you don't need to resolve your types if you
only use them for static type checking.
With no arguments, names will be looked up in the module in which the class
was created. If this is not what you want, for example, if the name only
exists inside a method, you may pass *globalns* or *localns* to specify
other dictionaries in which to look up these names. See the docs of
`typing.get_type_hints` for more details.
Args:
cls (type): Class to resolve.
globalns (dict | None): Dictionary containing global variables.
localns (dict | None): Dictionary containing local variables.
attribs (list | None):
List of attribs for the given class. This is necessary when calling
from inside a ``field_transformer`` since *cls* is not an *attrs*
class yet.
include_extras (bool):
Resolve more accurately, if possible. Pass ``include_extras`` to
``typing.get_hints``, if supported by the typing module. On
supported Python versions (3.9+), this resolves the types more
accurately.
Raises:
TypeError: If *cls* is not a class.
attrs.exceptions.NotAnAttrsClassError:
If *cls* is not an *attrs* class and you didn't pass any attribs.
NameError: If types cannot be resolved because of missing variables.
Returns:
*cls* so you can use this function also as a class decorator. Please
note that you have to apply it **after** `attrs.define`. That means the
decorator has to come in the line **before** `attrs.define`.
.. versionadded:: 20.1.0
.. versionadded:: 21.1.0 *attribs*
.. versionadded:: 23.1.0 *include_extras*
"""
# Since calling get_type_hints is expensive we cache whether we've
# done it already.
if getattr(cls, "__attrs_types_resolved__", None) != cls:
import typing
kwargs = {"globalns": globalns, "localns": localns}
if PY_3_9_PLUS:
kwargs["include_extras"] = include_extras
hints = typing.get_type_hints(cls, **kwargs)
for field in fields(cls) if attribs is None else attribs:
if field.name in hints:
# Since fields have been frozen we must work around it.
_OBJ_SETATTR(field, "type", hints[field.name])
# We store the class we resolved so that subclasses know they haven't
# been resolved.
cls.__attrs_types_resolved__ = cls
# Return the class so you can use it as a decorator too.
return cls
myenv/Lib/site-packages/attr/_make.py
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myenv/Lib/site-packages/attr/_next_gen.py
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@@ -1,623 +0,0 @@
# SPDX-License-Identifier: MIT
"""
These are keyword-only APIs that call `attr.s` and `attr.ib` with different
default values.
"""
from functools import partial
from . import setters
from ._funcs import asdict as _asdict
from ._funcs import astuple as _astuple
from ._make import (
_DEFAULT_ON_SETATTR,
NOTHING,
_frozen_setattrs,
attrib,
attrs,
)
from .exceptions import UnannotatedAttributeError
def define(
maybe_cls=None,
*,
these=None,
repr=None,
unsafe_hash=None,
hash=None,
init=None,
slots=True,
frozen=False,
weakref_slot=True,
str=False,
auto_attribs=None,
kw_only=False,
cache_hash=False,
auto_exc=True,
eq=None,
order=False,
auto_detect=True,
getstate_setstate=None,
on_setattr=None,
field_transformer=None,
match_args=True,
):
r"""
A class decorator that adds :term:`dunder methods` according to
:term:`fields <field>` specified using :doc:`type annotations <types>`,
`field()` calls, or the *these* argument.
Since *attrs* patches or replaces an existing class, you cannot use
`object.__init_subclass__` with *attrs* classes, because it runs too early.
As a replacement, you can define ``__attrs_init_subclass__`` on your class.
It will be called by *attrs* classes that subclass it after they're
created. See also :ref:`init-subclass`.
Args:
slots (bool):
Create a :term:`slotted class <slotted classes>` that's more
memory-efficient. Slotted classes are generally superior to the
default dict classes, but have some gotchas you should know about,
so we encourage you to read the :term:`glossary entry <slotted
classes>`.
auto_detect (bool):
Instead of setting the *init*, *repr*, *eq*, and *hash* arguments
explicitly, assume they are set to True **unless any** of the
involved methods for one of the arguments is implemented in the
*current* class (meaning, it is *not* inherited from some base
class).
So, for example by implementing ``__eq__`` on a class yourself,
*attrs* will deduce ``eq=False`` and will create *neither*
``__eq__`` *nor* ``__ne__`` (but Python classes come with a
sensible ``__ne__`` by default, so it *should* be enough to only
implement ``__eq__`` in most cases).
Passing True or False` to *init*, *repr*, *eq*, or *hash*
overrides whatever *auto_detect* would determine.
auto_exc (bool):
If the class subclasses `BaseException` (which implicitly includes
any subclass of any exception), the following happens to behave
like a well-behaved Python exception class:
- the values for *eq*, *order*, and *hash* are ignored and the
instances compare and hash by the instance's ids [#]_ ,
- all attributes that are either passed into ``__init__`` or have a
default value are additionally available as a tuple in the
``args`` attribute,
- the value of *str* is ignored leaving ``__str__`` to base
classes.
.. [#]
Note that *attrs* will *not* remove existing implementations of
``__hash__`` or the equality methods. It just won't add own
ones.
on_setattr (~typing.Callable | list[~typing.Callable] | None | ~typing.Literal[attrs.setters.NO_OP]):
A callable that is run whenever the user attempts to set an
attribute (either by assignment like ``i.x = 42`` or by using
`setattr` like ``setattr(i, "x", 42)``). It receives the same
arguments as validators: the instance, the attribute that is being
modified, and the new value.
If no exception is raised, the attribute is set to the return value
of the callable.
If a list of callables is passed, they're automatically wrapped in
an `attrs.setters.pipe`.
If left None, the default behavior is to run converters and
validators whenever an attribute is set.
init (bool):
Create a ``__init__`` method that initializes the *attrs*
attributes. Leading underscores are stripped for the argument name,
unless an alias is set on the attribute.
.. seealso::
`init` shows advanced ways to customize the generated
``__init__`` method, including executing code before and after.
repr(bool):
Create a ``__repr__`` method with a human readable representation
of *attrs* attributes.
str (bool):
Create a ``__str__`` method that is identical to ``__repr__``. This
is usually not necessary except for `Exception`\ s.
eq (bool | None):
If True or None (default), add ``__eq__`` and ``__ne__`` methods
that check two instances for equality.
.. seealso::
`comparison` describes how to customize the comparison behavior
going as far comparing NumPy arrays.
order (bool | None):
If True, add ``__lt__``, ``__le__``, ``__gt__``, and ``__ge__``
methods that behave like *eq* above and allow instances to be
ordered.
They compare the instances as if they were tuples of their *attrs*
attributes if and only if the types of both classes are
*identical*.
If `None` mirror value of *eq*.
.. seealso:: `comparison`
unsafe_hash (bool | None):
If None (default), the ``__hash__`` method is generated according
how *eq* and *frozen* are set.
1. If *both* are True, *attrs* will generate a ``__hash__`` for
you.
2. If *eq* is True and *frozen* is False, ``__hash__`` will be set
to None, marking it unhashable (which it is).
3. If *eq* is False, ``__hash__`` will be left untouched meaning
the ``__hash__`` method of the base class will be used. If the
base class is `object`, this means it will fall back to id-based
hashing.
Although not recommended, you can decide for yourself and force
*attrs* to create one (for example, if the class is immutable even
though you didn't freeze it programmatically) by passing True or
not. Both of these cases are rather special and should be used
carefully.
.. seealso::
- Our documentation on `hashing`,
- Python's documentation on `object.__hash__`,
- and the `GitHub issue that led to the default \ behavior
<https://github.com/python-attrs/attrs/issues/136>`_ for more
details.
hash (bool | None):
Deprecated alias for *unsafe_hash*. *unsafe_hash* takes precedence.
cache_hash (bool):
Ensure that the object's hash code is computed only once and stored
on the object. If this is set to True, hashing must be either
explicitly or implicitly enabled for this class. If the hash code
is cached, avoid any reassignments of fields involved in hash code
computation or mutations of the objects those fields point to after
object creation. If such changes occur, the behavior of the
object's hash code is undefined.
frozen (bool):
Make instances immutable after initialization. If someone attempts
to modify a frozen instance, `attrs.exceptions.FrozenInstanceError`
is raised.
.. note::
1. This is achieved by installing a custom ``__setattr__``
method on your class, so you can't implement your own.
2. True immutability is impossible in Python.
3. This *does* have a minor a runtime performance `impact
<how-frozen>` when initializing new instances. In other
words: ``__init__`` is slightly slower with ``frozen=True``.
4. If a class is frozen, you cannot modify ``self`` in
``__attrs_post_init__`` or a self-written ``__init__``. You
can circumvent that limitation by using
``object.__setattr__(self, "attribute_name", value)``.
5. Subclasses of a frozen class are frozen too.
kw_only (bool):
Make all attributes keyword-only in the generated ``__init__`` (if
*init* is False, this parameter is ignored).
weakref_slot (bool):
Make instances weak-referenceable. This has no effect unless
*slots* is True.
field_transformer (~typing.Callable | None):
A function that is called with the original class object and all
fields right before *attrs* finalizes the class. You can use this,
for example, to automatically add converters or validators to
fields based on their types.
.. seealso:: `transform-fields`
match_args (bool):
If True (default), set ``__match_args__`` on the class to support
:pep:`634` (*Structural Pattern Matching*). It is a tuple of all
non-keyword-only ``__init__`` parameter names on Python 3.10 and
later. Ignored on older Python versions.
collect_by_mro (bool):
If True, *attrs* collects attributes from base classes correctly
according to the `method resolution order
<https://docs.python.org/3/howto/mro.html>`_. If False, *attrs*
will mimic the (wrong) behavior of `dataclasses` and :pep:`681`.
See also `issue #428
<https://github.com/python-attrs/attrs/issues/428>`_.
getstate_setstate (bool | None):
.. note::
This is usually only interesting for slotted classes and you
should probably just set *auto_detect* to True.
If True, ``__getstate__`` and ``__setstate__`` are generated and
attached to the class. This is necessary for slotted classes to be
pickleable. If left None, it's True by default for slotted classes
and False for dict classes.
If *auto_detect* is True, and *getstate_setstate* is left None, and
**either** ``__getstate__`` or ``__setstate__`` is detected
directly on the class (meaning: not inherited), it is set to False
(this is usually what you want).
auto_attribs (bool | None):
If True, look at type annotations to determine which attributes to
use, like `dataclasses`. If False, it will only look for explicit
:func:`field` class attributes, like classic *attrs*.
If left None, it will guess:
1. If any attributes are annotated and no unannotated
`attrs.field`\ s are found, it assumes *auto_attribs=True*.
2. Otherwise it assumes *auto_attribs=False* and tries to collect
`attrs.field`\ s.
If *attrs* decides to look at type annotations, **all** fields
**must** be annotated. If *attrs* encounters a field that is set to
a :func:`field` / `attr.ib` but lacks a type annotation, an
`attrs.exceptions.UnannotatedAttributeError` is raised. Use
``field_name: typing.Any = field(...)`` if you don't want to set a
type.
.. warning::
For features that use the attribute name to create decorators
(for example, :ref:`validators <validators>`), you still *must*
assign :func:`field` / `attr.ib` to them. Otherwise Python will
either not find the name or try to use the default value to
call, for example, ``validator`` on it.
Attributes annotated as `typing.ClassVar`, and attributes that are
neither annotated nor set to an `field()` are **ignored**.
these (dict[str, object]):
A dictionary of name to the (private) return value of `field()`
mappings. This is useful to avoid the definition of your attributes
within the class body because you can't (for example, if you want
to add ``__repr__`` methods to Django models) or don't want to.
If *these* is not `None`, *attrs* will *not* search the class body
for attributes and will *not* remove any attributes from it.
The order is deduced from the order of the attributes inside
*these*.
Arguably, this is a rather obscure feature.
.. versionadded:: 20.1.0
.. versionchanged:: 21.3.0 Converters are also run ``on_setattr``.
.. versionadded:: 22.2.0
*unsafe_hash* as an alias for *hash* (for :pep:`681` compliance).
.. versionchanged:: 24.1.0
Instances are not compared as tuples of attributes anymore, but using a
big ``and`` condition. This is faster and has more correct behavior for
uncomparable values like `math.nan`.
.. versionadded:: 24.1.0
If a class has an *inherited* classmethod called
``__attrs_init_subclass__``, it is executed after the class is created.
.. deprecated:: 24.1.0 *hash* is deprecated in favor of *unsafe_hash*.
.. versionadded:: 24.3.0
Unless already present, a ``__replace__`` method is automatically
created for `copy.replace` (Python 3.13+ only).
.. note::
The main differences to the classic `attr.s` are:
- Automatically detect whether or not *auto_attribs* should be `True`
(c.f. *auto_attribs* parameter).
- Converters and validators run when attributes are set by default --
if *frozen* is `False`.
- *slots=True*
Usually, this has only upsides and few visible effects in everyday
programming. But it *can* lead to some surprising behaviors, so
please make sure to read :term:`slotted classes`.
- *auto_exc=True*
- *auto_detect=True*
- *order=False*
- Some options that were only relevant on Python 2 or were kept around
for backwards-compatibility have been removed.
"""
def do_it(cls, auto_attribs):
return attrs(
maybe_cls=cls,
these=these,
repr=repr,
hash=hash,
unsafe_hash=unsafe_hash,
init=init,
slots=slots,
frozen=frozen,
weakref_slot=weakref_slot,
str=str,
auto_attribs=auto_attribs,
kw_only=kw_only,
cache_hash=cache_hash,
auto_exc=auto_exc,
eq=eq,
order=order,
auto_detect=auto_detect,
collect_by_mro=True,
getstate_setstate=getstate_setstate,
on_setattr=on_setattr,
field_transformer=field_transformer,
match_args=match_args,
)
def wrap(cls):
"""
Making this a wrapper ensures this code runs during class creation.
We also ensure that frozen-ness of classes is inherited.
"""
nonlocal frozen, on_setattr
had_on_setattr = on_setattr not in (None, setters.NO_OP)
# By default, mutable classes convert & validate on setattr.
if frozen is False and on_setattr is None:
on_setattr = _DEFAULT_ON_SETATTR
# However, if we subclass a frozen class, we inherit the immutability
# and disable on_setattr.
for base_cls in cls.__bases__:
if base_cls.__setattr__ is _frozen_setattrs:
if had_on_setattr:
msg = "Frozen classes can't use on_setattr (frozen-ness was inherited)."
raise ValueError(msg)
on_setattr = setters.NO_OP
break
if auto_attribs is not None:
return do_it(cls, auto_attribs)
try:
return do_it(cls, True)
except UnannotatedAttributeError:
return do_it(cls, False)
# maybe_cls's type depends on the usage of the decorator. It's a class
# if it's used as `@attrs` but `None` if used as `@attrs()`.
if maybe_cls is None:
return wrap
return wrap(maybe_cls)
mutable = define
frozen = partial(define, frozen=True, on_setattr=None)
def field(
*,
default=NOTHING,
validator=None,
repr=True,
hash=None,
init=True,
metadata=None,
type=None,
converter=None,
factory=None,
kw_only=False,
eq=None,
order=None,
on_setattr=None,
alias=None,
):
"""
Create a new :term:`field` / :term:`attribute` on a class.
.. warning::
Does **nothing** unless the class is also decorated with
`attrs.define` (or similar)!
Args:
default:
A value that is used if an *attrs*-generated ``__init__`` is used
and no value is passed while instantiating or the attribute is
excluded using ``init=False``.
If the value is an instance of `attrs.Factory`, its callable will
be used to construct a new value (useful for mutable data types
like lists or dicts).
If a default is not set (or set manually to `attrs.NOTHING`), a
value *must* be supplied when instantiating; otherwise a
`TypeError` will be raised.
.. seealso:: `defaults`
factory (~typing.Callable):
Syntactic sugar for ``default=attr.Factory(factory)``.
validator (~typing.Callable | list[~typing.Callable]):
Callable that is called by *attrs*-generated ``__init__`` methods
after the instance has been initialized. They receive the
initialized instance, the :func:`~attrs.Attribute`, and the passed
value.
The return value is *not* inspected so the validator has to throw
an exception itself.
If a `list` is passed, its items are treated as validators and must
all pass.
Validators can be globally disabled and re-enabled using
`attrs.validators.get_disabled` / `attrs.validators.set_disabled`.
The validator can also be set using decorator notation as shown
below.
.. seealso:: :ref:`validators`
repr (bool | ~typing.Callable):
Include this attribute in the generated ``__repr__`` method. If
True, include the attribute; if False, omit it. By default, the
built-in ``repr()`` function is used. To override how the attribute
value is formatted, pass a ``callable`` that takes a single value
and returns a string. Note that the resulting string is used as-is,
which means it will be used directly *instead* of calling
``repr()`` (the default).
eq (bool | ~typing.Callable):
If True (default), include this attribute in the generated
``__eq__`` and ``__ne__`` methods that check two instances for
equality. To override how the attribute value is compared, pass a
callable that takes a single value and returns the value to be
compared.
.. seealso:: `comparison`
order (bool | ~typing.Callable):
If True (default), include this attributes in the generated
``__lt__``, ``__le__``, ``__gt__`` and ``__ge__`` methods. To
override how the attribute value is ordered, pass a callable that
takes a single value and returns the value to be ordered.
.. seealso:: `comparison`
hash (bool | None):
Include this attribute in the generated ``__hash__`` method. If
None (default), mirror *eq*'s value. This is the correct behavior
according the Python spec. Setting this value to anything else
than None is *discouraged*.
.. seealso:: `hashing`
init (bool):
Include this attribute in the generated ``__init__`` method.
It is possible to set this to False and set a default value. In
that case this attributed is unconditionally initialized with the
specified default value or factory.
.. seealso:: `init`
converter (typing.Callable | Converter):
A callable that is called by *attrs*-generated ``__init__`` methods
to convert attribute's value to the desired format.
If a vanilla callable is passed, it is given the passed-in value as
the only positional argument. It is possible to receive additional
arguments by wrapping the callable in a `Converter`.
Either way, the returned value will be used as the new value of the
attribute. The value is converted before being passed to the
validator, if any.
.. seealso:: :ref:`converters`
metadata (dict | None):
An arbitrary mapping, to be used by third-party code.
.. seealso:: `extending-metadata`.
type (type):
The type of the attribute. Nowadays, the preferred method to
specify the type is using a variable annotation (see :pep:`526`).
This argument is provided for backwards-compatibility and for usage
with `make_class`. Regardless of the approach used, the type will
be stored on ``Attribute.type``.
Please note that *attrs* doesn't do anything with this metadata by
itself. You can use it as part of your own code or for `static type
checking <types>`.
kw_only (bool):
Make this attribute keyword-only in the generated ``__init__`` (if
``init`` is False, this parameter is ignored).
on_setattr (~typing.Callable | list[~typing.Callable] | None | ~typing.Literal[attrs.setters.NO_OP]):
Allows to overwrite the *on_setattr* setting from `attr.s`. If left
None, the *on_setattr* value from `attr.s` is used. Set to
`attrs.setters.NO_OP` to run **no** `setattr` hooks for this
attribute -- regardless of the setting in `define()`.
alias (str | None):
Override this attribute's parameter name in the generated
``__init__`` method. If left None, default to ``name`` stripped
of leading underscores. See `private-attributes`.
.. versionadded:: 20.1.0
.. versionchanged:: 21.1.0
*eq*, *order*, and *cmp* also accept a custom callable
.. versionadded:: 22.2.0 *alias*
.. versionadded:: 23.1.0
The *type* parameter has been re-added; mostly for `attrs.make_class`.
Please note that type checkers ignore this metadata.
.. seealso::
`attr.ib`
"""
return attrib(
default=default,
validator=validator,
repr=repr,
hash=hash,
init=init,
metadata=metadata,
type=type,
converter=converter,
factory=factory,
kw_only=kw_only,
eq=eq,
order=order,
on_setattr=on_setattr,
alias=alias,
)
def asdict(inst, *, recurse=True, filter=None, value_serializer=None):
"""
Same as `attr.asdict`, except that collections types are always retained
and dict is always used as *dict_factory*.
.. versionadded:: 21.3.0
"""
return _asdict(
inst=inst,
recurse=recurse,
filter=filter,
value_serializer=value_serializer,
retain_collection_types=True,
)
def astuple(inst, *, recurse=True, filter=None):
"""
Same as `attr.astuple`, except that collections types are always retained
and `tuple` is always used as the *tuple_factory*.
.. versionadded:: 21.3.0
"""
return _astuple(
inst=inst, recurse=recurse, filter=filter, retain_collection_types=True
)
myenv/Lib/site-packages/attr/_typing_compat.pyi
-15
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@@ -1,15 +0,0 @@
from typing import Any, ClassVar, Protocol
# MYPY is a special constant in mypy which works the same way as `TYPE_CHECKING`.
MYPY = False
if MYPY:
# A protocol to be able to statically accept an attrs class.
class AttrsInstance_(Protocol):
__attrs_attrs__: ClassVar[Any]
else:
# For type checkers without plug-in support use an empty protocol that
# will (hopefully) be combined into a union.
class AttrsInstance_(Protocol):
pass
myenv/Lib/site-packages/attr/_version_info.py
-86
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@@ -1,86 +0,0 @@
# SPDX-License-Identifier: MIT
from functools import total_ordering
from ._funcs import astuple
from ._make import attrib, attrs
@total_ordering
@attrs(eq=False, order=False, slots=True, frozen=True)
class VersionInfo:
"""
A version object that can be compared to tuple of length 1--4:
>>> attr.VersionInfo(19, 1, 0, "final") <= (19, 2)
True
>>> attr.VersionInfo(19, 1, 0, "final") < (19, 1, 1)
True
>>> vi = attr.VersionInfo(19, 2, 0, "final")
>>> vi < (19, 1, 1)
False
>>> vi < (19,)
False
>>> vi == (19, 2,)
True
>>> vi == (19, 2, 1)
False
.. versionadded:: 19.2
"""
year = attrib(type=int)
minor = attrib(type=int)
micro = attrib(type=int)
releaselevel = attrib(type=str)
@classmethod
def _from_version_string(cls, s):
"""
Parse *s* and return a _VersionInfo.
"""
v = s.split(".")
if len(v) == 3:
v.append("final")
return cls(
year=int(v[0]), minor=int(v[1]), micro=int(v[2]), releaselevel=v[3]
)
def _ensure_tuple(self, other):
"""
Ensure *other* is a tuple of a valid length.
Returns a possibly transformed *other* and ourselves as a tuple of
the same length as *other*.
"""
if self.__class__ is other.__class__:
other = astuple(other)
if not isinstance(other, tuple):
raise NotImplementedError
if not (1 <= len(other) <= 4):
raise NotImplementedError
return astuple(self)[: len(other)], other
def __eq__(self, other):
try:
us, them = self._ensure_tuple(other)
except NotImplementedError:
return NotImplemented
return us == them
def __lt__(self, other):
try:
us, them = self._ensure_tuple(other)
except NotImplementedError:
return NotImplemented
# Since alphabetically "dev0" < "final" < "post1" < "post2", we don't
# have to do anything special with releaselevel for now.
return us < them
myenv/Lib/site-packages/attr/_version_info.pyi
-9
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@@ -1,9 +0,0 @@
class VersionInfo:
@property
def year(self) -> int: ...
@property
def minor(self) -> int: ...
@property
def micro(self) -> int: ...
@property
def releaselevel(self) -> str: ...
myenv/Lib/site-packages/attr/converters.py
-162
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@@ -1,162 +0,0 @@
# SPDX-License-Identifier: MIT
"""
Commonly useful converters.
"""
import typing
from ._compat import _AnnotationExtractor
from ._make import NOTHING, Converter, Factory, pipe
__all__ = [
"default_if_none",
"optional",
"pipe",
"to_bool",
]
def optional(converter):
"""
A converter that allows an attribute to be optional. An optional attribute
is one which can be set to `None`.
Type annotations will be inferred from the wrapped converter's, if it has
any.
Args:
converter (typing.Callable):
the converter that is used for non-`None` values.
.. versionadded:: 17.1.0
"""
if isinstance(converter, Converter):
def optional_converter(val, inst, field):
if val is None:
return None
return converter(val, inst, field)
else:
def optional_converter(val):
if val is None:
return None
return converter(val)
xtr = _AnnotationExtractor(converter)
t = xtr.get_first_param_type()
if t:
optional_converter.__annotations__["val"] = typing.Optional[t]
rt = xtr.get_return_type()
if rt:
optional_converter.__annotations__["return"] = typing.Optional[rt]
if isinstance(converter, Converter):
return Converter(optional_converter, takes_self=True, takes_field=True)
return optional_converter
def default_if_none(default=NOTHING, factory=None):
"""
A converter that allows to replace `None` values by *default* or the result
of *factory*.
Args:
default:
Value to be used if `None` is passed. Passing an instance of
`attrs.Factory` is supported, however the ``takes_self`` option is
*not*.
factory (typing.Callable):
A callable that takes no parameters whose result is used if `None`
is passed.
Raises:
TypeError: If **neither** *default* or *factory* is passed.
TypeError: If **both** *default* and *factory* are passed.
ValueError:
If an instance of `attrs.Factory` is passed with
``takes_self=True``.
.. versionadded:: 18.2.0
"""
if default is NOTHING and factory is None:
msg = "Must pass either `default` or `factory`."
raise TypeError(msg)
if default is not NOTHING and factory is not None:
msg = "Must pass either `default` or `factory` but not both."
raise TypeError(msg)
if factory is not None:
default = Factory(factory)
if isinstance(default, Factory):
if default.takes_self:
msg = "`takes_self` is not supported by default_if_none."
raise ValueError(msg)
def default_if_none_converter(val):
if val is not None:
return val
return default.factory()
else:
def default_if_none_converter(val):
if val is not None:
return val
return default
return default_if_none_converter
def to_bool(val):
"""
Convert "boolean" strings (for example, from environment variables) to real
booleans.
Values mapping to `True`:
- ``True``
- ``"true"`` / ``"t"``
- ``"yes"`` / ``"y"``
- ``"on"``
- ``"1"``
- ``1``
Values mapping to `False`:
- ``False``
- ``"false"`` / ``"f"``
- ``"no"`` / ``"n"``
- ``"off"``
- ``"0"``
- ``0``
Raises:
ValueError: For any other value.
.. versionadded:: 21.3.0
"""
if isinstance(val, str):
val = val.lower()
if val in (True, "true", "t", "yes", "y", "on", "1", 1):
return True
if val in (False, "false", "f", "no", "n", "off", "0", 0):
return False
msg = f"Cannot convert value to bool: {val!r}"
raise ValueError(msg)
myenv/Lib/site-packages/attr/converters.pyi
-19
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@@ -1,19 +0,0 @@
from typing import Callable, Any, overload
from attrs import _ConverterType, _CallableConverterType
@overload
def pipe(*validators: _CallableConverterType) -> _CallableConverterType: ...
@overload
def pipe(*validators: _ConverterType) -> _ConverterType: ...
@overload
def optional(converter: _CallableConverterType) -> _CallableConverterType: ...
@overload
def optional(converter: _ConverterType) -> _ConverterType: ...
@overload
def default_if_none(default: Any) -> _CallableConverterType: ...
@overload
def default_if_none(
*, factory: Callable[[], Any]
) -> _CallableConverterType: ...
def to_bool(val: str | int | bool) -> bool: ...
myenv/Lib/site-packages/attr/exceptions.py
-95
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@@ -1,95 +0,0 @@
# SPDX-License-Identifier: MIT
from __future__ import annotations
from typing import ClassVar
class FrozenError(AttributeError):
"""
A frozen/immutable instance or attribute have been attempted to be
modified.
It mirrors the behavior of ``namedtuples`` by using the same error message
and subclassing `AttributeError`.
.. versionadded:: 20.1.0
"""
msg = "can't set attribute"
args: ClassVar[tuple[str]] = [msg]
class FrozenInstanceError(FrozenError):
"""
A frozen instance has been attempted to be modified.
.. versionadded:: 16.1.0
"""
class FrozenAttributeError(FrozenError):
"""
A frozen attribute has been attempted to be modified.
.. versionadded:: 20.1.0
"""
class AttrsAttributeNotFoundError(ValueError):
"""
An *attrs* function couldn't find an attribute that the user asked for.
.. versionadded:: 16.2.0
"""
class NotAnAttrsClassError(ValueError):
"""
A non-*attrs* class has been passed into an *attrs* function.
.. versionadded:: 16.2.0
"""
class DefaultAlreadySetError(RuntimeError):
"""
A default has been set when defining the field and is attempted to be reset
using the decorator.
.. versionadded:: 17.1.0
"""
class UnannotatedAttributeError(RuntimeError):
"""
A class with ``auto_attribs=True`` has a field without a type annotation.
.. versionadded:: 17.3.0
"""
class PythonTooOldError(RuntimeError):
"""
It was attempted to use an *attrs* feature that requires a newer Python
version.
.. versionadded:: 18.2.0
"""
class NotCallableError(TypeError):
"""
A field requiring a callable has been set with a value that is not
callable.
.. versionadded:: 19.2.0
"""
def __init__(self, msg, value):
super(TypeError, self).__init__(msg, value)
self.msg = msg
self.value = value
def __str__(self):
return str(self.msg)
myenv/Lib/site-packages/attr/exceptions.pyi
-17
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@@ -1,17 +0,0 @@
from typing import Any
class FrozenError(AttributeError):
msg: str = ...
class FrozenInstanceError(FrozenError): ...
class FrozenAttributeError(FrozenError): ...
class AttrsAttributeNotFoundError(ValueError): ...
class NotAnAttrsClassError(ValueError): ...
class DefaultAlreadySetError(RuntimeError): ...
class UnannotatedAttributeError(RuntimeError): ...
class PythonTooOldError(RuntimeError): ...
class NotCallableError(TypeError):
msg: str = ...
value: Any = ...
def __init__(self, msg: str, value: Any) -> None: ...
myenv/Lib/site-packages/attr/filters.py
-72
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@@ -1,72 +0,0 @@
# SPDX-License-Identifier: MIT
"""
Commonly useful filters for `attrs.asdict` and `attrs.astuple`.
"""
from ._make import Attribute
def _split_what(what):
"""
Returns a tuple of `frozenset`s of classes and attributes.
"""
return (
frozenset(cls for cls in what if isinstance(cls, type)),
frozenset(cls for cls in what if isinstance(cls, str)),
frozenset(cls for cls in what if isinstance(cls, Attribute)),
)
def include(*what):
"""
Create a filter that only allows *what*.
Args:
what (list[type, str, attrs.Attribute]):
What to include. Can be a type, a name, or an attribute.
Returns:
Callable:
A callable that can be passed to `attrs.asdict`'s and
`attrs.astuple`'s *filter* argument.
.. versionchanged:: 23.1.0 Accept strings with field names.
"""
cls, names, attrs = _split_what(what)
def include_(attribute, value):
return (
value.__class__ in cls
or attribute.name in names
or attribute in attrs
)
return include_
def exclude(*what):
"""
Create a filter that does **not** allow *what*.
Args:
what (list[type, str, attrs.Attribute]):
What to exclude. Can be a type, a name, or an attribute.
Returns:
Callable:
A callable that can be passed to `attrs.asdict`'s and
`attrs.astuple`'s *filter* argument.
.. versionchanged:: 23.3.0 Accept field name string as input argument
"""
cls, names, attrs = _split_what(what)
def exclude_(attribute, value):
return not (
value.__class__ in cls
or attribute.name in names
or attribute in attrs
)
return exclude_
myenv/Lib/site-packages/attr/filters.pyi
-6
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@@ -1,6 +0,0 @@
from typing import Any
from . import Attribute, _FilterType
def include(*what: type | str | Attribute[Any]) -> _FilterType[Any]: ...
def exclude(*what: type | str | Attribute[Any]) -> _FilterType[Any]: ...
myenv/Lib/site-packages/attr/py.typed
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Whitespace-only changes.
myenv/Lib/site-packages/attr/setters.py
-79
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@@ -1,79 +0,0 @@
# SPDX-License-Identifier: MIT
"""
Commonly used hooks for on_setattr.
"""
from . import _config
from .exceptions import FrozenAttributeError
def pipe(*setters):
"""
Run all *setters* and return the return value of the last one.
.. versionadded:: 20.1.0
"""
def wrapped_pipe(instance, attrib, new_value):
rv = new_value
for setter in setters:
rv = setter(instance, attrib, rv)
return rv
return wrapped_pipe
def frozen(_, __, ___):
"""
Prevent an attribute to be modified.
.. versionadded:: 20.1.0
"""
raise FrozenAttributeError
def validate(instance, attrib, new_value):
"""
Run *attrib*'s validator on *new_value* if it has one.
.. versionadded:: 20.1.0
"""
if _config._run_validators is False:
return new_value
v = attrib.validator
if not v:
return new_value
v(instance, attrib, new_value)
return new_value
def convert(instance, attrib, new_value):
"""
Run *attrib*'s converter -- if it has one -- on *new_value* and return the
result.
.. versionadded:: 20.1.0
"""
c = attrib.converter
if c:
# This can be removed once we drop 3.8 and use attrs.Converter instead.
from ._make import Converter
if not isinstance(c, Converter):
return c(new_value)
return c(new_value, instance, attrib)
return new_value
# Sentinel for disabling class-wide *on_setattr* hooks for certain attributes.
# Sphinx's autodata stopped working, so the docstring is inlined in the API
# docs.
NO_OP = object()
myenv/Lib/site-packages/attr/setters.pyi
-20
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@@ -1,20 +0,0 @@
from typing import Any, NewType, NoReturn, TypeVar
from . import Attribute
from attrs import _OnSetAttrType
_T = TypeVar("_T")
def frozen(
instance: Any, attribute: Attribute[Any], new_value: Any
) -> NoReturn: ...
def pipe(*setters: _OnSetAttrType) -> _OnSetAttrType: ...
def validate(instance: Any, attribute: Attribute[_T], new_value: _T) -> _T: ...
# convert is allowed to return Any, because they can be chained using pipe.
def convert(
instance: Any, attribute: Attribute[Any], new_value: Any
) -> Any: ...
_NoOpType = NewType("_NoOpType", object)
NO_OP: _NoOpType
myenv/Lib/site-packages/attr/validators.py
-710
View File
@@ -1,710 +0,0 @@
# SPDX-License-Identifier: MIT
"""
Commonly useful validators.
"""
import operator
import re
from contextlib import contextmanager
from re import Pattern
from ._config import get_run_validators, set_run_validators
from ._make import _AndValidator, and_, attrib, attrs
from .converters import default_if_none
from .exceptions import NotCallableError
__all__ = [
"and_",
"deep_iterable",
"deep_mapping",
"disabled",
"ge",
"get_disabled",
"gt",
"in_",
"instance_of",
"is_callable",
"le",
"lt",
"matches_re",
"max_len",
"min_len",
"not_",
"optional",
"or_",
"set_disabled",
]
def set_disabled(disabled):
"""
Globally disable or enable running validators.
By default, they are run.
Args:
disabled (bool): If `True`, disable running all validators.
.. warning::
This function is not thread-safe!
.. versionadded:: 21.3.0
"""
set_run_validators(not disabled)
def get_disabled():
"""
Return a bool indicating whether validators are currently disabled or not.
Returns:
bool:`True` if validators are currently disabled.
.. versionadded:: 21.3.0
"""
return not get_run_validators()
@contextmanager
def disabled():
"""
Context manager that disables running validators within its context.
.. warning::
This context manager is not thread-safe!
.. versionadded:: 21.3.0
"""
set_run_validators(False)
try:
yield
finally:
set_run_validators(True)
@attrs(repr=False, slots=True, unsafe_hash=True)
class _InstanceOfValidator:
type = attrib()
def __call__(self, inst, attr, value):
"""
We use a callable class to be able to change the ``__repr__``.
"""
if not isinstance(value, self.type):
msg = f"'{attr.name}' must be {self.type!r} (got {value!r} that is a {value.__class__!r})."
raise TypeError(
msg,
attr,
self.type,
value,
)
def __repr__(self):
return f"<instance_of validator for type {self.type!r}>"
def instance_of(type):
"""
A validator that raises a `TypeError` if the initializer is called with a
wrong type for this particular attribute (checks are performed using
`isinstance` therefore it's also valid to pass a tuple of types).
Args:
type (type | tuple[type]): The type to check for.
Raises:
TypeError:
With a human readable error message, the attribute (of type
`attrs.Attribute`), the expected type, and the value it got.
"""
return _InstanceOfValidator(type)
@attrs(repr=False, frozen=True, slots=True)
class _MatchesReValidator:
pattern = attrib()
match_func = attrib()
def __call__(self, inst, attr, value):
"""
We use a callable class to be able to change the ``__repr__``.
"""
if not self.match_func(value):
msg = f"'{attr.name}' must match regex {self.pattern.pattern!r} ({value!r} doesn't)"
raise ValueError(
msg,
attr,
self.pattern,
value,
)
def __repr__(self):
return f"<matches_re validator for pattern {self.pattern!r}>"
def matches_re(regex, flags=0, func=None):
r"""
A validator that raises `ValueError` if the initializer is called with a
string that doesn't match *regex*.
Args:
regex (str, re.Pattern):
A regex string or precompiled pattern to match against
flags (int):
Flags that will be passed to the underlying re function (default 0)
func (typing.Callable):
Which underlying `re` function to call. Valid options are
`re.fullmatch`, `re.search`, and `re.match`; the default `None`
means `re.fullmatch`. For performance reasons, the pattern is
always precompiled using `re.compile`.
.. versionadded:: 19.2.0
.. versionchanged:: 21.3.0 *regex* can be a pre-compiled pattern.
"""
valid_funcs = (re.fullmatch, None, re.search, re.match)
if func not in valid_funcs:
msg = "'func' must be one of {}.".format(
", ".join(
sorted((e and e.__name__) or "None" for e in set(valid_funcs))
)
)
raise ValueError(msg)
if isinstance(regex, Pattern):
if flags:
msg = "'flags' can only be used with a string pattern; pass flags to re.compile() instead"
raise TypeError(msg)
pattern = regex
else:
pattern = re.compile(regex, flags)
if func is re.match:
match_func = pattern.match
elif func is re.search:
match_func = pattern.search
else:
match_func = pattern.fullmatch
return _MatchesReValidator(pattern, match_func)
@attrs(repr=False, slots=True, unsafe_hash=True)
class _OptionalValidator:
validator = attrib()
def __call__(self, inst, attr, value):
if value is None:
return
self.validator(inst, attr, value)
def __repr__(self):
return f"<optional validator for {self.validator!r} or None>"
def optional(validator):
"""
A validator that makes an attribute optional. An optional attribute is one
which can be set to `None` in addition to satisfying the requirements of
the sub-validator.
Args:
validator
(typing.Callable | tuple[typing.Callable] | list[typing.Callable]):
A validator (or validators) that is used for non-`None` values.
.. versionadded:: 15.1.0
.. versionchanged:: 17.1.0 *validator* can be a list of validators.
.. versionchanged:: 23.1.0 *validator* can also be a tuple of validators.
"""
if isinstance(validator, (list, tuple)):
return _OptionalValidator(_AndValidator(validator))
return _OptionalValidator(validator)
@attrs(repr=False, slots=True, unsafe_hash=True)
class _InValidator:
options = attrib()
_original_options = attrib(hash=False)
def __call__(self, inst, attr, value):
try:
in_options = value in self.options
except TypeError: # e.g. `1 in "abc"`
in_options = False
if not in_options:
msg = f"'{attr.name}' must be in {self._original_options!r} (got {value!r})"
raise ValueError(
msg,
attr,
self._original_options,
value,
)
def __repr__(self):
return f"<in_ validator with options {self._original_options!r}>"
def in_(options):
"""
A validator that raises a `ValueError` if the initializer is called with a
value that does not belong in the *options* provided.
The check is performed using ``value in options``, so *options* has to
support that operation.
To keep the validator hashable, dicts, lists, and sets are transparently
transformed into a `tuple`.
Args:
options: Allowed options.
Raises:
ValueError:
With a human readable error message, the attribute (of type
`attrs.Attribute`), the expected options, and the value it got.
.. versionadded:: 17.1.0
.. versionchanged:: 22.1.0
The ValueError was incomplete until now and only contained the human
readable error message. Now it contains all the information that has
been promised since 17.1.0.
.. versionchanged:: 24.1.0
*options* that are a list, dict, or a set are now transformed into a
tuple to keep the validator hashable.
"""
repr_options = options
if isinstance(options, (list, dict, set)):
options = tuple(options)
return _InValidator(options, repr_options)
@attrs(repr=False, slots=False, unsafe_hash=True)
class _IsCallableValidator:
def __call__(self, inst, attr, value):
"""
We use a callable class to be able to change the ``__repr__``.
"""
if not callable(value):
message = (
"'{name}' must be callable "
"(got {value!r} that is a {actual!r})."
)
raise NotCallableError(
msg=message.format(
name=attr.name, value=value, actual=value.__class__
),
value=value,
)
def __repr__(self):
return "<is_callable validator>"
def is_callable():
"""
A validator that raises a `attrs.exceptions.NotCallableError` if the
initializer is called with a value for this particular attribute that is
not callable.
.. versionadded:: 19.1.0
Raises:
attrs.exceptions.NotCallableError:
With a human readable error message containing the attribute
(`attrs.Attribute`) name, and the value it got.
"""
return _IsCallableValidator()
@attrs(repr=False, slots=True, unsafe_hash=True)
class _DeepIterable:
member_validator = attrib(validator=is_callable())
iterable_validator = attrib(
default=None, validator=optional(is_callable())
)
def __call__(self, inst, attr, value):
"""
We use a callable class to be able to change the ``__repr__``.
"""
if self.iterable_validator is not None:
self.iterable_validator(inst, attr, value)
for member in value:
self.member_validator(inst, attr, member)
def __repr__(self):
iterable_identifier = (
""
if self.iterable_validator is None
else f" {self.iterable_validator!r}"
)
return (
f"<deep_iterable validator for{iterable_identifier}"
f" iterables of {self.member_validator!r}>"
)
def deep_iterable(member_validator, iterable_validator=None):
"""
A validator that performs deep validation of an iterable.
Args:
member_validator: Validator to apply to iterable members.
iterable_validator:
Validator to apply to iterable itself (optional).
Raises
TypeError: if any sub-validators fail
.. versionadded:: 19.1.0
"""
if isinstance(member_validator, (list, tuple)):
member_validator = and_(*member_validator)
return _DeepIterable(member_validator, iterable_validator)
@attrs(repr=False, slots=True, unsafe_hash=True)
class _DeepMapping:
key_validator = attrib(validator=is_callable())
value_validator = attrib(validator=is_callable())
mapping_validator = attrib(default=None, validator=optional(is_callable()))
def __call__(self, inst, attr, value):
"""
We use a callable class to be able to change the ``__repr__``.
"""
if self.mapping_validator is not None:
self.mapping_validator(inst, attr, value)
for key in value:
self.key_validator(inst, attr, key)
self.value_validator(inst, attr, value[key])
def __repr__(self):
return f"<deep_mapping validator for objects mapping {self.key_validator!r} to {self.value_validator!r}>"
def deep_mapping(key_validator, value_validator, mapping_validator=None):
"""
A validator that performs deep validation of a dictionary.
Args:
key_validator: Validator to apply to dictionary keys.
value_validator: Validator to apply to dictionary values.
mapping_validator:
Validator to apply to top-level mapping attribute (optional).
.. versionadded:: 19.1.0
Raises:
TypeError: if any sub-validators fail
"""
return _DeepMapping(key_validator, value_validator, mapping_validator)
@attrs(repr=False, frozen=True, slots=True)
class _NumberValidator:
bound = attrib()
compare_op = attrib()
compare_func = attrib()
def __call__(self, inst, attr, value):
"""
We use a callable class to be able to change the ``__repr__``.
"""
if not self.compare_func(value, self.bound):
msg = f"'{attr.name}' must be {self.compare_op} {self.bound}: {value}"
raise ValueError(msg)
def __repr__(self):
return f"<Validator for x {self.compare_op} {self.bound}>"
def lt(val):
"""
A validator that raises `ValueError` if the initializer is called with a
number larger or equal to *val*.
The validator uses `operator.lt` to compare the values.
Args:
val: Exclusive upper bound for values.
.. versionadded:: 21.3.0
"""
return _NumberValidator(val, "<", operator.lt)
def le(val):
"""
A validator that raises `ValueError` if the initializer is called with a
number greater than *val*.
The validator uses `operator.le` to compare the values.
Args:
val: Inclusive upper bound for values.
.. versionadded:: 21.3.0
"""
return _NumberValidator(val, "<=", operator.le)
def ge(val):
"""
A validator that raises `ValueError` if the initializer is called with a
number smaller than *val*.
The validator uses `operator.ge` to compare the values.
Args:
val: Inclusive lower bound for values
.. versionadded:: 21.3.0
"""
return _NumberValidator(val, ">=", operator.ge)
def gt(val):
"""
A validator that raises `ValueError` if the initializer is called with a
number smaller or equal to *val*.
The validator uses `operator.ge` to compare the values.
Args:
val: Exclusive lower bound for values
.. versionadded:: 21.3.0
"""
return _NumberValidator(val, ">", operator.gt)
@attrs(repr=False, frozen=True, slots=True)
class _MaxLengthValidator:
max_length = attrib()
def __call__(self, inst, attr, value):
"""
We use a callable class to be able to change the ``__repr__``.
"""
if len(value) > self.max_length:
msg = f"Length of '{attr.name}' must be <= {self.max_length}: {len(value)}"
raise ValueError(msg)
def __repr__(self):
return f"<max_len validator for {self.max_length}>"
def max_len(length):
"""
A validator that raises `ValueError` if the initializer is called
with a string or iterable that is longer than *length*.
Args:
length (int): Maximum length of the string or iterable
.. versionadded:: 21.3.0
"""
return _MaxLengthValidator(length)
@attrs(repr=False, frozen=True, slots=True)
class _MinLengthValidator:
min_length = attrib()
def __call__(self, inst, attr, value):
"""
We use a callable class to be able to change the ``__repr__``.
"""
if len(value) < self.min_length:
msg = f"Length of '{attr.name}' must be >= {self.min_length}: {len(value)}"
raise ValueError(msg)
def __repr__(self):
return f"<min_len validator for {self.min_length}>"
def min_len(length):
"""
A validator that raises `ValueError` if the initializer is called
with a string or iterable that is shorter than *length*.
Args:
length (int): Minimum length of the string or iterable
.. versionadded:: 22.1.0
"""
return _MinLengthValidator(length)
@attrs(repr=False, slots=True, unsafe_hash=True)
class _SubclassOfValidator:
type = attrib()
def __call__(self, inst, attr, value):
"""
We use a callable class to be able to change the ``__repr__``.
"""
if not issubclass(value, self.type):
msg = f"'{attr.name}' must be a subclass of {self.type!r} (got {value!r})."
raise TypeError(
msg,
attr,
self.type,
value,
)
def __repr__(self):
return f"<subclass_of validator for type {self.type!r}>"
def _subclass_of(type):
"""
A validator that raises a `TypeError` if the initializer is called with a
wrong type for this particular attribute (checks are performed using
`issubclass` therefore it's also valid to pass a tuple of types).
Args:
type (type | tuple[type, ...]): The type(s) to check for.
Raises:
TypeError:
With a human readable error message, the attribute (of type
`attrs.Attribute`), the expected type, and the value it got.
"""
return _SubclassOfValidator(type)
@attrs(repr=False, slots=True, unsafe_hash=True)
class _NotValidator:
validator = attrib()
msg = attrib(
converter=default_if_none(
"not_ validator child '{validator!r}' "
"did not raise a captured error"
)
)
exc_types = attrib(
validator=deep_iterable(
member_validator=_subclass_of(Exception),
iterable_validator=instance_of(tuple),
),
)
def __call__(self, inst, attr, value):
try:
self.validator(inst, attr, value)
except self.exc_types:
pass # suppress error to invert validity
else:
raise ValueError(
self.msg.format(
validator=self.validator,
exc_types=self.exc_types,
),
attr,
self.validator,
value,
self.exc_types,
)
def __repr__(self):
return f"<not_ validator wrapping {self.validator!r}, capturing {self.exc_types!r}>"
def not_(validator, *, msg=None, exc_types=(ValueError, TypeError)):
"""
A validator that wraps and logically 'inverts' the validator passed to it.
It will raise a `ValueError` if the provided validator *doesn't* raise a
`ValueError` or `TypeError` (by default), and will suppress the exception
if the provided validator *does*.
Intended to be used with existing validators to compose logic without
needing to create inverted variants, for example, ``not_(in_(...))``.
Args:
validator: A validator to be logically inverted.
msg (str):
Message to raise if validator fails. Formatted with keys
``exc_types`` and ``validator``.
exc_types (tuple[type, ...]):
Exception type(s) to capture. Other types raised by child
validators will not be intercepted and pass through.
Raises:
ValueError:
With a human readable error message, the attribute (of type
`attrs.Attribute`), the validator that failed to raise an
exception, the value it got, and the expected exception types.
.. versionadded:: 22.2.0
"""
try:
exc_types = tuple(exc_types)
except TypeError:
exc_types = (exc_types,)
return _NotValidator(validator, msg, exc_types)
@attrs(repr=False, slots=True, unsafe_hash=True)
class _OrValidator:
validators = attrib()
def __call__(self, inst, attr, value):
for v in self.validators:
try:
v(inst, attr, value)
except Exception: # noqa: BLE001, PERF203, S112
continue
else:
return
msg = f"None of {self.validators!r} satisfied for value {value!r}"
raise ValueError(msg)
def __repr__(self):
return f"<or validator wrapping {self.validators!r}>"
def or_(*validators):
"""
A validator that composes multiple validators into one.
When called on a value, it runs all wrapped validators until one of them is
satisfied.
Args:
validators (~collections.abc.Iterable[typing.Callable]):
Arbitrary number of validators.
Raises:
ValueError:
If no validator is satisfied. Raised with a human-readable error
message listing all the wrapped validators and the value that
failed all of them.
.. versionadded:: 24.1.0
"""
vals = []
for v in validators:
vals.extend(v.validators if isinstance(v, _OrValidator) else [v])
return _OrValidator(tuple(vals))
myenv/Lib/site-packages/attr/validators.pyi
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@@ -1,86 +0,0 @@
from types import UnionType
from typing import (
Any,
AnyStr,
Callable,
Container,
ContextManager,
Iterable,
Mapping,
Match,
Pattern,
TypeVar,
overload,
)
from attrs import _ValidatorType
from attrs import _ValidatorArgType
_T = TypeVar("_T")
_T1 = TypeVar("_T1")
_T2 = TypeVar("_T2")
_T3 = TypeVar("_T3")
_I = TypeVar("_I", bound=Iterable)
_K = TypeVar("_K")
_V = TypeVar("_V")
_M = TypeVar("_M", bound=Mapping)
def set_disabled(run: bool) -> None: ...
def get_disabled() -> bool: ...
def disabled() -> ContextManager[None]: ...
# To be more precise on instance_of use some overloads.
# If there are more than 3 items in the tuple then we fall back to Any
@overload
def instance_of(type: type[_T]) -> _ValidatorType[_T]: ...
@overload
def instance_of(type: tuple[type[_T]]) -> _ValidatorType[_T]: ...
@overload
def instance_of(
type: tuple[type[_T1], type[_T2]],
) -> _ValidatorType[_T1 | _T2]: ...
@overload
def instance_of(
type: tuple[type[_T1], type[_T2], type[_T3]],
) -> _ValidatorType[_T1 | _T2 | _T3]: ...
@overload
def instance_of(type: tuple[type, ...]) -> _ValidatorType[Any]: ...
@overload
def instance_of(type: UnionType) -> _ValidatorType[Any]: ...
def optional(
validator: (
_ValidatorType[_T]
| list[_ValidatorType[_T]]
| tuple[_ValidatorType[_T]]
),
) -> _ValidatorType[_T | None]: ...
def in_(options: Container[_T]) -> _ValidatorType[_T]: ...
def and_(*validators: _ValidatorType[_T]) -> _ValidatorType[_T]: ...
def matches_re(
regex: Pattern[AnyStr] | AnyStr,
flags: int = ...,
func: Callable[[AnyStr, AnyStr, int], Match[AnyStr] | None] | None = ...,
) -> _ValidatorType[AnyStr]: ...
def deep_iterable(
member_validator: _ValidatorArgType[_T],
iterable_validator: _ValidatorType[_I] | None = ...,
) -> _ValidatorType[_I]: ...
def deep_mapping(
key_validator: _ValidatorType[_K],
value_validator: _ValidatorType[_V],
mapping_validator: _ValidatorType[_M] | None = ...,
) -> _ValidatorType[_M]: ...
def is_callable() -> _ValidatorType[_T]: ...
def lt(val: _T) -> _ValidatorType[_T]: ...
def le(val: _T) -> _ValidatorType[_T]: ...
def ge(val: _T) -> _ValidatorType[_T]: ...
def gt(val: _T) -> _ValidatorType[_T]: ...
def max_len(length: int) -> _ValidatorType[_T]: ...
def min_len(length: int) -> _ValidatorType[_T]: ...
def not_(
validator: _ValidatorType[_T],
*,
msg: str | None = None,
exc_types: type[Exception] | Iterable[type[Exception]] = ...,
) -> _ValidatorType[_T]: ...
def or_(*validators: _ValidatorType[_T]) -> _ValidatorType[_T]: ...
myenv/Lib/site-packages/attrs-25.3.0.dist-info/INSTALLER
-1
View File
@@ -1 +0,0 @@
pip
myenv/Lib/site-packages/attrs-25.3.0.dist-info/METADATA
-232
View File
@@ -1,232 +0,0 @@
Metadata-Version: 2.4
Name: attrs
Version: 25.3.0
Summary: Classes Without Boilerplate
Project-URL: Documentation, https://www.attrs.org/
Project-URL: Changelog, https://www.attrs.org/en/stable/changelog.html
Project-URL: GitHub, https://github.com/python-attrs/attrs
Project-URL: Funding, https://github.com/sponsors/hynek
Project-URL: Tidelift, https://tidelift.com/subscription/pkg/pypi-attrs?utm_source=pypi-attrs&utm_medium=pypi
Author-email: Hynek Schlawack <hs@ox.cx>
License-Expression: MIT
License-File: LICENSE
Keywords: attribute,boilerplate,class
Classifier: Development Status :: 5 - Production/Stable
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: Programming Language :: Python :: 3.13
Classifier: Programming Language :: Python :: Implementation :: CPython
Classifier: Programming Language :: Python :: Implementation :: PyPy
Classifier: Typing :: Typed
Requires-Python: >=3.8
Provides-Extra: benchmark
Requires-Dist: cloudpickle; (platform_python_implementation == 'CPython') and extra == 'benchmark'
Requires-Dist: hypothesis; extra == 'benchmark'
Requires-Dist: mypy>=1.11.1; (platform_python_implementation == 'CPython' and python_version >= '3.10') and extra == 'benchmark'
Requires-Dist: pympler; extra == 'benchmark'
Requires-Dist: pytest-codspeed; extra == 'benchmark'
Requires-Dist: pytest-mypy-plugins; (platform_python_implementation == 'CPython' and python_version >= '3.10') and extra == 'benchmark'
Requires-Dist: pytest-xdist[psutil]; extra == 'benchmark'
Requires-Dist: pytest>=4.3.0; extra == 'benchmark'
Provides-Extra: cov
Requires-Dist: cloudpickle; (platform_python_implementation == 'CPython') and extra == 'cov'
Requires-Dist: coverage[toml]>=5.3; extra == 'cov'
Requires-Dist: hypothesis; extra == 'cov'
Requires-Dist: mypy>=1.11.1; (platform_python_implementation == 'CPython' and python_version >= '3.10') and extra == 'cov'
Requires-Dist: pympler; extra == 'cov'
Requires-Dist: pytest-mypy-plugins; (platform_python_implementation == 'CPython' and python_version >= '3.10') and extra == 'cov'
Requires-Dist: pytest-xdist[psutil]; extra == 'cov'
Requires-Dist: pytest>=4.3.0; extra == 'cov'
Provides-Extra: dev
Requires-Dist: cloudpickle; (platform_python_implementation == 'CPython') and extra == 'dev'
Requires-Dist: hypothesis; extra == 'dev'
Requires-Dist: mypy>=1.11.1; (platform_python_implementation == 'CPython' and python_version >= '3.10') and extra == 'dev'
Requires-Dist: pre-commit-uv; extra == 'dev'
Requires-Dist: pympler; extra == 'dev'
Requires-Dist: pytest-mypy-plugins; (platform_python_implementation == 'CPython' and python_version >= '3.10') and extra == 'dev'
Requires-Dist: pytest-xdist[psutil]; extra == 'dev'
Requires-Dist: pytest>=4.3.0; extra == 'dev'
Provides-Extra: docs
Requires-Dist: cogapp; extra == 'docs'
Requires-Dist: furo; extra == 'docs'
Requires-Dist: myst-parser; extra == 'docs'
Requires-Dist: sphinx; extra == 'docs'
Requires-Dist: sphinx-notfound-page; extra == 'docs'
Requires-Dist: sphinxcontrib-towncrier; extra == 'docs'
Requires-Dist: towncrier; extra == 'docs'
Provides-Extra: tests
Requires-Dist: cloudpickle; (platform_python_implementation == 'CPython') and extra == 'tests'
Requires-Dist: hypothesis; extra == 'tests'
Requires-Dist: mypy>=1.11.1; (platform_python_implementation == 'CPython' and python_version >= '3.10') and extra == 'tests'
Requires-Dist: pympler; extra == 'tests'
Requires-Dist: pytest-mypy-plugins; (platform_python_implementation == 'CPython' and python_version >= '3.10') and extra == 'tests'
Requires-Dist: pytest-xdist[psutil]; extra == 'tests'
Requires-Dist: pytest>=4.3.0; extra == 'tests'
Provides-Extra: tests-mypy
Requires-Dist: mypy>=1.11.1; (platform_python_implementation == 'CPython' and python_version >= '3.10') and extra == 'tests-mypy'
Requires-Dist: pytest-mypy-plugins; (platform_python_implementation == 'CPython' and python_version >= '3.10') and extra == 'tests-mypy'
Description-Content-Type: text/markdown
<p align="center">
<a href="https://www.attrs.org/">
<img src="https://raw.githubusercontent.com/python-attrs/attrs/main/docs/_static/attrs_logo.svg" width="35%" alt="attrs" />
</a>
</p>
*attrs* is the Python package that will bring back the **joy** of **writing classes** by relieving you from the drudgery of implementing object protocols (aka [dunder methods](https://www.attrs.org/en/latest/glossary.html#term-dunder-methods)).
[Trusted by NASA](https://docs.github.com/en/account-and-profile/setting-up-and-managing-your-github-profile/customizing-your-profile/personalizing-your-profile#list-of-qualifying-repositories-for-mars-2020-helicopter-contributor-achievement) for Mars missions since 2020!
Its main goal is to help you to write **concise** and **correct** software without slowing down your code.
## Sponsors
*attrs* would not be possible without our [amazing sponsors](https://github.com/sponsors/hynek).
Especially those generously supporting us at the *The Organization* tier and higher:
<!-- sponsor-break-begin -->
<p align="center">
<!-- [[[cog
import pathlib, tomllib
for sponsor in tomllib.loads(pathlib.Path("pyproject.toml").read_text())["tool"]["sponcon"]["sponsors"]:
print(f'<a href="{sponsor["url"]}"><img title="{sponsor["title"]}" src="https://www.attrs.org/en/25.3.0/_static/sponsors/{sponsor["img"]}" width="190" /></a>')
]]] -->
<a href="https://www.variomedia.de/"><img title="Variomedia AG" src="https://www.attrs.org/en/25.3.0/_static/sponsors/Variomedia.svg" width="190" /></a>
<a href="https://tidelift.com/?utm_source=lifter&utm_medium=referral&utm_campaign=hynek"><img title="Tidelift" src="https://www.attrs.org/en/25.3.0/_static/sponsors/Tidelift.svg" width="190" /></a>
<a href="https://klaviyo.com/"><img title="Klaviyo" src="https://www.attrs.org/en/25.3.0/_static/sponsors/Klaviyo.svg" width="190" /></a>
<a href="https://privacy-solutions.org/"><img title="Privacy Solutions" src="https://www.attrs.org/en/25.3.0/_static/sponsors/Privacy-Solutions.svg" width="190" /></a>
<a href="https://www.emsys-renewables.com/"><img title="emsys renewables" src="https://www.attrs.org/en/25.3.0/_static/sponsors/emsys-renewables.svg" width="190" /></a>
<a href="https://filepreviews.io/"><img title="FilePreviews" src="https://www.attrs.org/en/25.3.0/_static/sponsors/FilePreviews.svg" width="190" /></a>
<a href="https://polar.sh/"><img title="Polar" src="https://www.attrs.org/en/25.3.0/_static/sponsors/Polar.svg" width="190" /></a>
<!-- [[[end]]] -->
</p>
<!-- sponsor-break-end -->
<p align="center">
<strong>Please consider <a href="https://github.com/sponsors/hynek">joining them</a> to help make <em>attrs</em>’s maintenance more sustainable!</strong>
</p>
<!-- teaser-end -->
## Example
*attrs* gives you a class decorator and a way to declaratively define the attributes on that class:
<!-- code-begin -->
```pycon
>>> from attrs import asdict, define, make_class, Factory
>>> @define
... class SomeClass:
... a_number: int = 42
... list_of_numbers: list[int] = Factory(list)
...
... def hard_math(self, another_number):
... return self.a_number + sum(self.list_of_numbers) * another_number
>>> sc = SomeClass(1, [1, 2, 3])
>>> sc
SomeClass(a_number=1, list_of_numbers=[1, 2, 3])
>>> sc.hard_math(3)
19
>>> sc == SomeClass(1, [1, 2, 3])
True
>>> sc != SomeClass(2, [3, 2, 1])
True
>>> asdict(sc)
{'a_number': 1, 'list_of_numbers': [1, 2, 3]}
>>> SomeClass()
SomeClass(a_number=42, list_of_numbers=[])
>>> C = make_class("C", ["a", "b"])
>>> C("foo", "bar")
C(a='foo', b='bar')
```
After *declaring* your attributes, *attrs* gives you:
- a concise and explicit overview of the class's attributes,
- a nice human-readable `__repr__`,
- equality-checking methods,
- an initializer,
- and much more,
*without* writing dull boilerplate code again and again and *without* runtime performance penalties.
---
This example uses *attrs*'s modern APIs that have been introduced in version 20.1.0, and the *attrs* package import name that has been added in version 21.3.0.
The classic APIs (`@attr.s`, `attr.ib`, plus their serious-business aliases) and the `attr` package import name will remain **indefinitely**.
Check out [*On The Core API Names*](https://www.attrs.org/en/latest/names.html) for an in-depth explanation!
### Hate Type Annotations!?
No problem!
Types are entirely **optional** with *attrs*.
Simply assign `attrs.field()` to the attributes instead of annotating them with types:
```python
from attrs import define, field
@define
class SomeClass:
a_number = field(default=42)
list_of_numbers = field(factory=list)
```
## Data Classes
On the tin, *attrs* might remind you of `dataclasses` (and indeed, `dataclasses` [are a descendant](https://hynek.me/articles/import-attrs/) of *attrs*).
In practice it does a lot more and is more flexible.
For instance, it allows you to define [special handling of NumPy arrays for equality checks](https://www.attrs.org/en/stable/comparison.html#customization), allows more ways to [plug into the initialization process](https://www.attrs.org/en/stable/init.html#hooking-yourself-into-initialization), has a replacement for `__init_subclass__`, and allows for stepping through the generated methods using a debugger.
For more details, please refer to our [comparison page](https://www.attrs.org/en/stable/why.html#data-classes), but generally speaking, we are more likely to commit crimes against nature to make things work that one would expect to work, but that are quite complicated in practice.
## Project Information
- [**Changelog**](https://www.attrs.org/en/stable/changelog.html)
- [**Documentation**](https://www.attrs.org/)
- [**PyPI**](https://pypi.org/project/attrs/)
- [**Source Code**](https://github.com/python-attrs/attrs)
- [**Contributing**](https://github.com/python-attrs/attrs/blob/main/.github/CONTRIBUTING.md)
- [**Third-party Extensions**](https://github.com/python-attrs/attrs/wiki/Extensions-to-attrs)
- **Get Help**: use the `python-attrs` tag on [Stack Overflow](https://stackoverflow.com/questions/tagged/python-attrs)
### *attrs* for Enterprise
Available as part of the [Tidelift Subscription](https://tidelift.com/?utm_source=lifter&utm_medium=referral&utm_campaign=hynek).
The maintainers of *attrs* and thousands of other packages are working with Tidelift to deliver commercial support and maintenance for the open source packages you use to build your applications.
Save time, reduce risk, and improve code health, while paying the maintainers of the exact packages you use.
## Release Information
### Changes
- Restore support for generator-based `field_transformer`s.
[#1417](https://github.com/python-attrs/attrs/issues/1417)
---
[Full changelog →](https://www.attrs.org/en/stable/changelog.html)
myenv/Lib/site-packages/attrs-25.3.0.dist-info/RECORD
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@@ -1,55 +0,0 @@
attr/__init__.py,sha256=fOYIvt1eGSqQre4uCS3sJWKZ0mwAuC8UD6qba5OS9_U,2057
attr/__init__.pyi,sha256=QIXnnHPoucmDWkbpNsWTP-cgJ1bn8le7DjyRa_wYdew,11281
attr/__pycache__/__init__.cpython-38.pyc,,
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attr/__pycache__/_compat.cpython-38.pyc,,
attr/__pycache__/_config.cpython-38.pyc,,
attr/__pycache__/_funcs.cpython-38.pyc,,
attr/__pycache__/_make.cpython-38.pyc,,
attr/__pycache__/_next_gen.cpython-38.pyc,,
attr/__pycache__/_version_info.cpython-38.pyc,,
attr/__pycache__/converters.cpython-38.pyc,,
attr/__pycache__/exceptions.cpython-38.pyc,,
attr/__pycache__/filters.cpython-38.pyc,,
attr/__pycache__/setters.cpython-38.pyc,,
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Wheel-Version: 1.0
Generator: hatchling 1.27.0
Root-Is-Purelib: true
Tag: py3-none-any
myenv/Lib/site-packages/attrs-25.3.0.dist-info/licenses/LICENSE
-21
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@@ -1,21 +0,0 @@
The MIT License (MIT)
Copyright (c) 2015 Hynek Schlawack and the attrs 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.
myenv/Lib/site-packages/attrs/__init__.py
-69
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@@ -1,69 +0,0 @@
# SPDX-License-Identifier: MIT
from attr import (
NOTHING,
Attribute,
AttrsInstance,
Converter,
Factory,
NothingType,
_make_getattr,
assoc,
cmp_using,
define,
evolve,
field,
fields,
fields_dict,
frozen,
has,
make_class,
mutable,
resolve_types,
validate,
)
from attr._next_gen import asdict, astuple
from . import converters, exceptions, filters, setters, validators
__all__ = [
"NOTHING",
"Attribute",
"AttrsInstance",
"Converter",
"Factory",
"NothingType",
"__author__",
"__copyright__",
"__description__",
"__doc__",
"__email__",
"__license__",
"__title__",
"__url__",
"__version__",
"__version_info__",
"asdict",
"assoc",
"astuple",
"cmp_using",
"converters",
"define",
"evolve",
"exceptions",
"field",
"fields",
"fields_dict",
"filters",
"frozen",
"has",
"make_class",
"mutable",
"resolve_types",
"setters",
"validate",
"validators",
]
__getattr__ = _make_getattr(__name__)
myenv/Lib/site-packages/attrs/__init__.pyi
-263
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@@ -1,263 +0,0 @@
import sys
from typing import (
Any,
Callable,
Mapping,
Sequence,
overload,
TypeVar,
)
# Because we need to type our own stuff, we have to make everything from
# attr explicitly public too.
from attr import __author__ as __author__
from attr import __copyright__ as __copyright__
from attr import __description__ as __description__
from attr import __email__ as __email__
from attr import __license__ as __license__
from attr import __title__ as __title__
from attr import __url__ as __url__
from attr import __version__ as __version__
from attr import __version_info__ as __version_info__
from attr import assoc as assoc
from attr import Attribute as Attribute
from attr import AttrsInstance as AttrsInstance
from attr import cmp_using as cmp_using
from attr import converters as converters
from attr import Converter as Converter
from attr import evolve as evolve
from attr import exceptions as exceptions
from attr import Factory as Factory
from attr import fields as fields
from attr import fields_dict as fields_dict
from attr import filters as filters
from attr import has as has
from attr import make_class as make_class
from attr import NOTHING as NOTHING
from attr import resolve_types as resolve_types
from attr import setters as setters
from attr import validate as validate
from attr import validators as validators
from attr import attrib, asdict as asdict, astuple as astuple
from attr import NothingType as NothingType
if sys.version_info >= (3, 11):
from typing import dataclass_transform
else:
from typing_extensions import dataclass_transform
_T = TypeVar("_T")
_C = TypeVar("_C", bound=type)
_EqOrderType = bool | Callable[[Any], Any]
_ValidatorType = Callable[[Any, "Attribute[_T]", _T], Any]
_CallableConverterType = Callable[[Any], Any]
_ConverterType = _CallableConverterType | Converter[Any, Any]
_ReprType = Callable[[Any], str]
_ReprArgType = bool | _ReprType
_OnSetAttrType = Callable[[Any, "Attribute[Any]", Any], Any]
_OnSetAttrArgType = _OnSetAttrType | list[_OnSetAttrType] | setters._NoOpType
_FieldTransformer = Callable[
[type, list["Attribute[Any]"]], list["Attribute[Any]"]
]
# FIXME: in reality, if multiple validators are passed they must be in a list
# or tuple, but those are invariant and so would prevent subtypes of
# _ValidatorType from working when passed in a list or tuple.
_ValidatorArgType = _ValidatorType[_T] | Sequence[_ValidatorType[_T]]
@overload
def field(
*,
default: None = ...,
validator: None = ...,
repr: _ReprArgType = ...,
hash: bool | None = ...,
init: bool = ...,
metadata: Mapping[Any, Any] | None = ...,
converter: None = ...,
factory: None = ...,
kw_only: bool = ...,
eq: bool | None = ...,
order: bool | None = ...,
on_setattr: _OnSetAttrArgType | None = ...,
alias: str | None = ...,
type: type | None = ...,
) -> Any: ...
# This form catches an explicit None or no default and infers the type from the
# other arguments.
@overload
def field(
*,
default: None = ...,
validator: _ValidatorArgType[_T] | None = ...,
repr: _ReprArgType = ...,
hash: bool | None = ...,
init: bool = ...,
metadata: Mapping[Any, Any] | None = ...,
converter: _ConverterType
| list[_ConverterType]
| tuple[_ConverterType]
| None = ...,
factory: Callable[[], _T] | None = ...,
kw_only: bool = ...,
eq: _EqOrderType | None = ...,
order: _EqOrderType | None = ...,
on_setattr: _OnSetAttrArgType | None = ...,
alias: str | None = ...,
type: type | None = ...,
) -> _T: ...
# This form catches an explicit default argument.
@overload
def field(
*,
default: _T,
validator: _ValidatorArgType[_T] | None = ...,
repr: _ReprArgType = ...,
hash: bool | None = ...,
init: bool = ...,
metadata: Mapping[Any, Any] | None = ...,
converter: _ConverterType
| list[_ConverterType]
| tuple[_ConverterType]
| None = ...,
factory: Callable[[], _T] | None = ...,
kw_only: bool = ...,
eq: _EqOrderType | None = ...,
order: _EqOrderType | None = ...,
on_setattr: _OnSetAttrArgType | None = ...,
alias: str | None = ...,
type: type | None = ...,
) -> _T: ...
# This form covers type=non-Type: e.g. forward references (str), Any
@overload
def field(
*,
default: _T | None = ...,
validator: _ValidatorArgType[_T] | None = ...,
repr: _ReprArgType = ...,
hash: bool | None = ...,
init: bool = ...,
metadata: Mapping[Any, Any] | None = ...,
converter: _ConverterType
| list[_ConverterType]
| tuple[_ConverterType]
| None = ...,
factory: Callable[[], _T] | None = ...,
kw_only: bool = ...,
eq: _EqOrderType | None = ...,
order: _EqOrderType | None = ...,
on_setattr: _OnSetAttrArgType | None = ...,
alias: str | None = ...,
type: type | None = ...,
) -> Any: ...
@overload
@dataclass_transform(field_specifiers=(attrib, field))
def define(
maybe_cls: _C,
*,
these: dict[str, Any] | None = ...,
repr: bool = ...,
unsafe_hash: bool | None = ...,
hash: bool | None = ...,
init: bool = ...,
slots: bool = ...,
frozen: bool = ...,
weakref_slot: bool = ...,
str: bool = ...,
auto_attribs: bool = ...,
kw_only: bool = ...,
cache_hash: bool = ...,
auto_exc: bool = ...,
eq: bool | None = ...,
order: bool | None = ...,
auto_detect: bool = ...,
getstate_setstate: bool | None = ...,
on_setattr: _OnSetAttrArgType | None = ...,
field_transformer: _FieldTransformer | None = ...,
match_args: bool = ...,
) -> _C: ...
@overload
@dataclass_transform(field_specifiers=(attrib, field))
def define(
maybe_cls: None = ...,
*,
these: dict[str, Any] | None = ...,
repr: bool = ...,
unsafe_hash: bool | None = ...,
hash: bool | None = ...,
init: bool = ...,
slots: bool = ...,
frozen: bool = ...,
weakref_slot: bool = ...,
str: bool = ...,
auto_attribs: bool = ...,
kw_only: bool = ...,
cache_hash: bool = ...,
auto_exc: bool = ...,
eq: bool | None = ...,
order: bool | None = ...,
auto_detect: bool = ...,
getstate_setstate: bool | None = ...,
on_setattr: _OnSetAttrArgType | None = ...,
field_transformer: _FieldTransformer | None = ...,
match_args: bool = ...,
) -> Callable[[_C], _C]: ...
mutable = define
@overload
@dataclass_transform(frozen_default=True, field_specifiers=(attrib, field))
def frozen(
maybe_cls: _C,
*,
these: dict[str, Any] | None = ...,
repr: bool = ...,
unsafe_hash: bool | None = ...,
hash: bool | None = ...,
init: bool = ...,
slots: bool = ...,
frozen: bool = ...,
weakref_slot: bool = ...,
str: bool = ...,
auto_attribs: bool = ...,
kw_only: bool = ...,
cache_hash: bool = ...,
auto_exc: bool = ...,
eq: bool | None = ...,
order: bool | None = ...,
auto_detect: bool = ...,
getstate_setstate: bool | None = ...,
on_setattr: _OnSetAttrArgType | None = ...,
field_transformer: _FieldTransformer | None = ...,
match_args: bool = ...,
) -> _C: ...
@overload
@dataclass_transform(frozen_default=True, field_specifiers=(attrib, field))
def frozen(
maybe_cls: None = ...,
*,
these: dict[str, Any] | None = ...,
repr: bool = ...,
unsafe_hash: bool | None = ...,
hash: bool | None = ...,
init: bool = ...,
slots: bool = ...,
frozen: bool = ...,
weakref_slot: bool = ...,
str: bool = ...,
auto_attribs: bool = ...,
kw_only: bool = ...,
cache_hash: bool = ...,
auto_exc: bool = ...,
eq: bool | None = ...,
order: bool | None = ...,
auto_detect: bool = ...,
getstate_setstate: bool | None = ...,
on_setattr: _OnSetAttrArgType | None = ...,
field_transformer: _FieldTransformer | None = ...,
match_args: bool = ...,
) -> Callable[[_C], _C]: ...
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myenv/Lib/site-packages/attrs/converters.py
-3
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# SPDX-License-Identifier: MIT
from attr.converters import * # noqa: F403
myenv/Lib/site-packages/attrs/exceptions.py
-3
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# SPDX-License-Identifier: MIT
from attr.exceptions import * # noqa: F403
myenv/Lib/site-packages/attrs/filters.py
-3
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@@ -1,3 +0,0 @@
# SPDX-License-Identifier: MIT
from attr.filters import * # noqa: F403
myenv/Lib/site-packages/attrs/py.typed
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myenv/Lib/site-packages/attrs/setters.py
-3
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# SPDX-License-Identifier: MIT
from attr.setters import * # noqa: F403
myenv/Lib/site-packages/attrs/validators.py
-3
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@@ -1,3 +0,0 @@
# SPDX-License-Identifier: MIT
from attr.validators import * # noqa: F403
myenv/Lib/site-packages/beautifulsoup4-4.14.3.dist-info/INSTALLER
-1
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@@ -1 +0,0 @@
pip
myenv/Lib/site-packages/beautifulsoup4-4.14.3.dist-info/METADATA
-123
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@@ -1,123 +0,0 @@
Metadata-Version: 2.4
Name: beautifulsoup4
Version: 4.14.3
Summary: Screen-scraping library
Project-URL: Download, https://www.crummy.com/software/BeautifulSoup/bs4/download/
Project-URL: Homepage, https://www.crummy.com/software/BeautifulSoup/bs4/
Author-email: Leonard Richardson <leonardr@segfault.org>
License: MIT License
License-File: AUTHORS
License-File: LICENSE
Keywords: HTML,XML,parse,soup
Classifier: Development Status :: 5 - Production/Stable
Classifier: Intended Audience :: Developers
Classifier: License :: OSI Approved :: MIT License
Classifier: Programming Language :: Python
Classifier: Programming Language :: Python :: 3
Classifier: Topic :: Software Development :: Libraries :: Python Modules
Classifier: Topic :: Text Processing :: Markup :: HTML
Classifier: Topic :: Text Processing :: Markup :: SGML
Classifier: Topic :: Text Processing :: Markup :: XML
Requires-Python: >=3.7.0
Requires-Dist: soupsieve>=1.6.1
Requires-Dist: typing-extensions>=4.0.0
Provides-Extra: cchardet
Requires-Dist: cchardet; extra == 'cchardet'
Provides-Extra: chardet
Requires-Dist: chardet; extra == 'chardet'
Provides-Extra: charset-normalizer
Requires-Dist: charset-normalizer; extra == 'charset-normalizer'
Provides-Extra: html5lib
Requires-Dist: html5lib; extra == 'html5lib'
Provides-Extra: lxml
Requires-Dist: lxml; extra == 'lxml'
Description-Content-Type: text/markdown
Beautiful Soup is a library that makes it easy to scrape information
from web pages. It sits atop an HTML or XML parser, providing Pythonic
idioms for iterating, searching, and modifying the parse tree.
# Quick start
```
>>> from bs4 import BeautifulSoup
>>> soup = BeautifulSoup("<p>Some<b>bad<i>HTML")
>>> print(soup.prettify())
<html>
<body>
<p>
Some
<b>
bad
<i>
HTML
</i>
</b>
</p>
</body>
</html>
>>> soup.find(string="bad")
'bad'
>>> soup.i
<i>HTML</i>
#
>>> soup = BeautifulSoup("<tag1>Some<tag2/>bad<tag3>XML", "xml")
#
>>> print(soup.prettify())
<?xml version="1.0" encoding="utf-8"?>
<tag1>
Some
<tag2/>
bad
<tag3>
XML
</tag3>
</tag1>
```
To go beyond the basics, [comprehensive documentation is available](https://www.crummy.com/software/BeautifulSoup/bs4/doc/).
# Links
* [Homepage](https://www.crummy.com/software/BeautifulSoup/bs4/)
* [Documentation](https://www.crummy.com/software/BeautifulSoup/bs4/doc/)
* [Discussion group](https://groups.google.com/group/beautifulsoup/)
* [Development](https://code.launchpad.net/beautifulsoup/)
* [Bug tracker](https://bugs.launchpad.net/beautifulsoup/)
* [Complete changelog](https://git.launchpad.net/beautifulsoup/tree/CHANGELOG)
# Note on Python 2 sunsetting
Beautiful Soup's support for Python 2 was discontinued on December 31,
2020: one year after the sunset date for Python 2 itself. From this
point onward, new Beautiful Soup development will exclusively target
Python 3. The final release of Beautiful Soup 4 to support Python 2
was 4.9.3.
# Supporting the project
If you use Beautiful Soup as part of your professional work, please consider a
[Tidelift subscription](https://tidelift.com/subscription/pkg/pypi-beautifulsoup4?utm_source=pypi-beautifulsoup4&utm_medium=referral&utm_campaign=readme).
This will support many of the free software projects your organization
depends on, not just Beautiful Soup.
If you use Beautiful Soup for personal projects, the best way to say
thank you is to read
[Tool Safety](https://www.crummy.com/software/BeautifulSoup/zine/), a zine I
wrote about what Beautiful Soup has taught me about software
development.
# Building the documentation
The bs4/doc/ directory contains full documentation in Sphinx
format. Run `make html` in that directory to create HTML
documentation.
# Running the unit tests
Beautiful Soup supports unit test discovery using Pytest:
```
$ pytest
```
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myenv/Lib/site-packages/beautifulsoup4-4.14.3.dist-info/licenses/AUTHORS
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Behold, mortal, the origins of Beautiful Soup...
================================================
Leonard Richardson is the primary maintainer.
Aaron DeVore, Isaac Muse and Chris Papademetrious have made
significant contributions to the code base.
Mark Pilgrim provided the encoding detection code that forms the base
of UnicodeDammit.
Thomas Kluyver and Ezio Melotti finished the work of getting Beautiful
Soup 4 working under Python 3.
Simon Willison wrote soupselect, which was used to make Beautiful Soup
support CSS selectors. Isaac Muse wrote SoupSieve, which made it
possible to _remove_ the CSS selector code from Beautiful Soup.
Sam Ruby helped with a lot of edge cases.
Jonathan Ellis was awarded the prestigious Beau Potage D'Or for his
work in solving the nestable tags conundrum.
An incomplete list of people have contributed patches to Beautiful
Soup:
Istvan Albert, Andrew Lin, Anthony Baxter, Oliver Beattie, Andrew
Boyko, Tony Chang, Francisco Canas, "Delong", Zephyr Fang, Fuzzy,
Roman Gaufman, Yoni Gilad, Richie Hindle, Toshihiro Kamiya, Peteris
Krumins, Kent Johnson, Marek Kapolka, Andreas Kostyrka, Roel Kramer,
Ben Last, Robert Leftwich, Stefaan Lippens, "liquider", Staffan
Malmgren, Ksenia Marasanova, JP Moins, Adam Monsen, John Nagle, "Jon",
Ed Oskiewicz, Martijn Peters, Greg Phillips, Giles Radford, Stefano
Revera, Arthur Rudolph, Marko Samastur, James Salter, Jouni Seppänen,
Alexander Schmolck, Tim Shirley, Geoffrey Sneddon, Ville Skyttä,
"Vikas", Jens Svalgaard, Andy Theyers, Eric Weiser, Glyn Webster, John
Wiseman, Paul Wright, Danny Yoo
An incomplete list of people who made suggestions or found bugs or
found ways to break Beautiful Soup:
Hanno Böck, Matteo Bertini, Chris Curvey, Simon Cusack, Bruce Eckel,
Matt Ernst, Michael Foord, Tom Harris, Bill de hOra, Donald Howes,
Matt Patterson, Scott Roberts, Steve Strassmann, Mike Williams,
warchild at redho dot com, Sami Kuisma, Carlos Rocha, Bob Hutchison,
Joren Mc, Michal Migurski, John Kleven, Tim Heaney, Tripp Lilley, Ed
Summers, Dennis Sutch, Chris Smith, Aaron Swartz, Stuart
Turner, Greg Edwards, Kevin J Kalupson, Nikos Kouremenos, Artur de
Sousa Rocha, Yichun Wei, Per Vognsen
myenv/Lib/site-packages/beautifulsoup4-4.14.3.dist-info/licenses/LICENSE
-31
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Beautiful Soup is made available under the MIT license:
Copyright (c) Leonard Richardson
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.
Beautiful Soup incorporates code from the html5lib library, which is
also made available under the MIT license. Copyright (c) James Graham
and other contributors
Beautiful Soup has an optional dependency on the soupsieve library,
which is also made available under the MIT license. Copyright (c)
Isaac Muse
myenv/Lib/site-packages/blinker-1.8.2.dist-info/INSTALLER
-1
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pip
myenv/Lib/site-packages/blinker-1.8.2.dist-info/LICENSE.txt
-20
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Copyright 2010 Jason Kirtland
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.
myenv/Lib/site-packages/blinker-1.8.2.dist-info/METADATA
-60
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Metadata-Version: 2.1
Name: blinker
Version: 1.8.2
Summary: Fast, simple object-to-object and broadcast signaling
Author: Jason Kirtland
Maintainer-email: Pallets Ecosystem <contact@palletsprojects.com>
Requires-Python: >=3.8
Description-Content-Type: text/markdown
Classifier: Development Status :: 5 - Production/Stable
Classifier: License :: OSI Approved :: MIT License
Classifier: Programming Language :: Python
Classifier: Typing :: Typed
Project-URL: Chat, https://discord.gg/pallets
Project-URL: Documentation, https://blinker.readthedocs.io
Project-URL: Source, https://github.com/pallets-eco/blinker/
# Blinker
Blinker provides a fast dispatching system that allows any number of
interested parties to subscribe to events, or "signals".
## Pallets Community Ecosystem
> [!IMPORTANT]\
> This project is part of the Pallets Community Ecosystem. Pallets is the open
> source organization that maintains Flask; Pallets-Eco enables community
> maintenance of related projects. If you are interested in helping maintain
> this project, please reach out on [the Pallets Discord server][discord].
>
> [discord]: https://discord.gg/pallets
## Example
Signal receivers can subscribe to specific senders or receive signals
sent by any sender.
```pycon
>>> from blinker import signal
>>> started = signal('round-started')
>>> def each(round):
... print(f"Round {round}")
...
>>> started.connect(each)
>>> def round_two(round):
... print("This is round two.")
...
>>> started.connect(round_two, sender=2)
>>> for round in range(1, 4):
... started.send(round)
...
Round 1!
Round 2!
This is round two.
Round 3!
```
myenv/Lib/site-packages/blinker-1.8.2.dist-info/RECORD
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myenv/Lib/site-packages/blinker-1.8.2.dist-info/WHEEL
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Wheel-Version: 1.0
Generator: flit 3.9.0
Root-Is-Purelib: true
Tag: py3-none-any
myenv/Lib/site-packages/blinker/__init__.py
-60
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from __future__ import annotations
import typing as t
from .base import ANY
from .base import default_namespace
from .base import NamedSignal
from .base import Namespace
from .base import Signal
from .base import signal
__all__ = [
"ANY",
"default_namespace",
"NamedSignal",
"Namespace",
"Signal",
"signal",
]
def __getattr__(name: str) -> t.Any:
import warnings
if name == "__version__":
import importlib.metadata
warnings.warn(
"The '__version__' attribute is deprecated and will be removed in"
" Blinker 1.9.0. Use feature detection or"
" 'importlib.metadata.version(\"blinker\")' instead.",
DeprecationWarning,
stacklevel=2,
)
return importlib.metadata.version("blinker")
if name == "receiver_connected":
from .base import _receiver_connected
warnings.warn(
"The global 'receiver_connected' signal is deprecated and will be"
" removed in Blinker 1.9. Use 'Signal.receiver_connected' and"
" 'Signal.receiver_disconnected' instead.",
DeprecationWarning,
stacklevel=2,
)
return _receiver_connected
if name == "WeakNamespace":
from .base import _WeakNamespace
warnings.warn(
"'WeakNamespace' is deprecated and will be removed in Blinker 1.9."
" Use 'Namespace' instead.",
DeprecationWarning,
stacklevel=2,
)
return _WeakNamespace
raise AttributeError(name)
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myenv/Lib/site-packages/blinker/_utilities.py
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from __future__ import annotations
import collections.abc as c
import inspect
import typing as t
from weakref import ref
from weakref import WeakMethod
T = t.TypeVar("T")
class Symbol:
"""A constant symbol, nicer than ``object()``. Repeated calls return the
same instance.
>>> Symbol('foo') is Symbol('foo')
True
>>> Symbol('foo')
foo
"""
symbols: t.ClassVar[dict[str, Symbol]] = {}
def __new__(cls, name: str) -> Symbol:
if name in cls.symbols:
return cls.symbols[name]
obj = super().__new__(cls)
cls.symbols[name] = obj
return obj
def __init__(self, name: str) -> None:
self.name = name
def __repr__(self) -> str:
return self.name
def __getnewargs__(self) -> tuple[t.Any, ...]:
return (self.name,)
def make_id(obj: object) -> c.Hashable:
"""Get a stable identifier for a receiver or sender, to be used as a dict
key or in a set.
"""
if inspect.ismethod(obj):
# The id of a bound method is not stable, but the id of the unbound
# function and instance are.
return id(obj.__func__), id(obj.__self__)
if isinstance(obj, (str, int)):
# Instances with the same value always compare equal and have the same
# hash, even if the id may change.
return obj
# Assume other types are not hashable but will always be the same instance.
return id(obj)
def make_ref(obj: T, callback: c.Callable[[ref[T]], None] | None = None) -> ref[T]:
if inspect.ismethod(obj):
return WeakMethod(obj, callback) # type: ignore[arg-type, return-value]
return ref(obj, callback)
myenv/Lib/site-packages/blinker/base.py
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from __future__ import annotations
import collections.abc as c
import typing as t
import warnings
import weakref
from collections import defaultdict
from contextlib import AbstractContextManager
from contextlib import contextmanager
from functools import cached_property
from inspect import iscoroutinefunction
from weakref import WeakValueDictionary
from ._utilities import make_id
from ._utilities import make_ref
from ._utilities import Symbol
if t.TYPE_CHECKING:
F = t.TypeVar("F", bound=c.Callable[..., t.Any])
ANY = Symbol("ANY")
"""Symbol for "any sender"."""
ANY_ID = 0
class Signal:
"""A notification emitter.
:param doc: The docstring for the signal.
"""
ANY = ANY
"""An alias for the :data:`~blinker.ANY` sender symbol."""
set_class: type[set[t.Any]] = set
"""The set class to use for tracking connected receivers and senders.
Python's ``set`` is unordered. If receivers must be dispatched in the order
they were connected, an ordered set implementation can be used.
.. versionadded:: 1.7
"""
@cached_property
def receiver_connected(self) -> Signal:
"""Emitted at the end of each :meth:`connect` call.
The signal sender is the signal instance, and the :meth:`connect`
arguments are passed through: ``receiver``, ``sender``, and ``weak``.
.. versionadded:: 1.2
"""
return Signal(doc="Emitted after a receiver connects.")
@cached_property
def receiver_disconnected(self) -> Signal:
"""Emitted at the end of each :meth:`disconnect` call.
The sender is the signal instance, and the :meth:`disconnect` arguments
are passed through: ``receiver`` and ``sender``.
This signal is emitted **only** when :meth:`disconnect` is called
explicitly. This signal cannot be emitted by an automatic disconnect
when a weakly referenced receiver or sender goes out of scope, as the
instance is no longer be available to be used as the sender for this
signal.
An alternative approach is available by subscribing to
:attr:`receiver_connected` and setting up a custom weakref cleanup
callback on weak receivers and senders.
.. versionadded:: 1.2
"""
return Signal(doc="Emitted after a receiver disconnects.")
def __init__(self, doc: str | None = None) -> None:
if doc:
self.__doc__ = doc
self.receivers: dict[
t.Any, weakref.ref[c.Callable[..., t.Any]] | c.Callable[..., t.Any]
] = {}
"""The map of connected receivers. Useful to quickly check if any
receivers are connected to the signal: ``if s.receivers:``. The
structure and data is not part of the public API, but checking its
boolean value is.
"""
self.is_muted: bool = False
self._by_receiver: dict[t.Any, set[t.Any]] = defaultdict(self.set_class)
self._by_sender: dict[t.Any, set[t.Any]] = defaultdict(self.set_class)
self._weak_senders: dict[t.Any, weakref.ref[t.Any]] = {}
def connect(self, receiver: F, sender: t.Any = ANY, weak: bool = True) -> F:
"""Connect ``receiver`` to be called when the signal is sent by
``sender``.
:param receiver: The callable to call when :meth:`send` is called with
the given ``sender``, passing ``sender`` as a positional argument
along with any extra keyword arguments.
:param sender: Any object or :data:`ANY`. ``receiver`` will only be
called when :meth:`send` is called with this sender. If ``ANY``, the
receiver will be called for any sender. A receiver may be connected
to multiple senders by calling :meth:`connect` multiple times.
:param weak: Track the receiver with a :mod:`weakref`. The receiver will
be automatically disconnected when it is garbage collected. When
connecting a receiver defined within a function, set to ``False``,
otherwise it will be disconnected when the function scope ends.
"""
receiver_id = make_id(receiver)
sender_id = ANY_ID if sender is ANY else make_id(sender)
if weak:
self.receivers[receiver_id] = make_ref(
receiver, self._make_cleanup_receiver(receiver_id)
)
else:
self.receivers[receiver_id] = receiver
self._by_sender[sender_id].add(receiver_id)
self._by_receiver[receiver_id].add(sender_id)
if sender is not ANY and sender_id not in self._weak_senders:
# store a cleanup for weakref-able senders
try:
self._weak_senders[sender_id] = make_ref(
sender, self._make_cleanup_sender(sender_id)
)
except TypeError:
pass
if "receiver_connected" in self.__dict__ and self.receiver_connected.receivers:
try:
self.receiver_connected.send(
self, receiver=receiver, sender=sender, weak=weak
)
except TypeError:
# TODO no explanation or test for this
self.disconnect(receiver, sender)
raise
if _receiver_connected.receivers and self is not _receiver_connected:
try:
_receiver_connected.send(
self, receiver_arg=receiver, sender_arg=sender, weak_arg=weak
)
except TypeError:
self.disconnect(receiver, sender)
raise
return receiver
def connect_via(self, sender: t.Any, weak: bool = False) -> c.Callable[[F], F]:
"""Connect the decorated function to be called when the signal is sent
by ``sender``.
The decorated function will be called when :meth:`send` is called with
the given ``sender``, passing ``sender`` as a positional argument along
with any extra keyword arguments.
:param sender: Any object or :data:`ANY`. ``receiver`` will only be
called when :meth:`send` is called with this sender. If ``ANY``, the
receiver will be called for any sender. A receiver may be connected
to multiple senders by calling :meth:`connect` multiple times.
:param weak: Track the receiver with a :mod:`weakref`. The receiver will
be automatically disconnected when it is garbage collected. When
connecting a receiver defined within a function, set to ``False``,
otherwise it will be disconnected when the function scope ends.=
.. versionadded:: 1.1
"""
def decorator(fn: F) -> F:
self.connect(fn, sender, weak)
return fn
return decorator
@contextmanager
def connected_to(
self, receiver: c.Callable[..., t.Any], sender: t.Any = ANY
) -> c.Generator[None, None, None]:
"""A context manager that temporarily connects ``receiver`` to the
signal while a ``with`` block executes. When the block exits, the
receiver is disconnected. Useful for tests.
:param receiver: The callable to call when :meth:`send` is called with
the given ``sender``, passing ``sender`` as a positional argument
along with any extra keyword arguments.
:param sender: Any object or :data:`ANY`. ``receiver`` will only be
called when :meth:`send` is called with this sender. If ``ANY``, the
receiver will be called for any sender.
.. versionadded:: 1.1
"""
self.connect(receiver, sender=sender, weak=False)
try:
yield None
finally:
self.disconnect(receiver)
@contextmanager
def muted(self) -> c.Generator[None, None, None]:
"""A context manager that temporarily disables the signal. No receivers
will be called if the signal is sent, until the ``with`` block exits.
Useful for tests.
"""
self.is_muted = True
try:
yield None
finally:
self.is_muted = False
def temporarily_connected_to(
self, receiver: c.Callable[..., t.Any], sender: t.Any = ANY
) -> AbstractContextManager[None]:
"""Deprecated alias for :meth:`connected_to`.
.. deprecated:: 1.1
Renamed to ``connected_to``. Will be removed in Blinker 1.9.
.. versionadded:: 0.9
"""
warnings.warn(
"'temporarily_connected_to' is renamed to 'connected_to'. The old name is"
" deprecated and will be removed in Blinker 1.9.",
DeprecationWarning,
stacklevel=2,
)
return self.connected_to(receiver, sender)
def send(
self,
sender: t.Any | None = None,
/,
*,
_async_wrapper: c.Callable[
[c.Callable[..., c.Coroutine[t.Any, t.Any, t.Any]]], c.Callable[..., t.Any]
]
| None = None,
**kwargs: t.Any,
) -> list[tuple[c.Callable[..., t.Any], t.Any]]:
"""Call all receivers that are connected to the given ``sender``
or :data:`ANY`. Each receiver is called with ``sender`` as a positional
argument along with any extra keyword arguments. Return a list of
``(receiver, return value)`` tuples.
The order receivers are called is undefined, but can be influenced by
setting :attr:`set_class`.
If a receiver raises an exception, that exception will propagate up.
This makes debugging straightforward, with an assumption that correctly
implemented receivers will not raise.
:param sender: Call receivers connected to this sender, in addition to
those connected to :data:`ANY`.
:param _async_wrapper: Will be called on any receivers that are async
coroutines to turn them into sync callables. For example, could run
the receiver with an event loop.
:param kwargs: Extra keyword arguments to pass to each receiver.
.. versionchanged:: 1.7
Added the ``_async_wrapper`` argument.
"""
if self.is_muted:
return []
results = []
for receiver in self.receivers_for(sender):
if iscoroutinefunction(receiver):
if _async_wrapper is None:
raise RuntimeError("Cannot send to a coroutine function.")
result = _async_wrapper(receiver)(sender, **kwargs)
else:
result = receiver(sender, **kwargs)
results.append((receiver, result))
return results
async def send_async(
self,
sender: t.Any | None = None,
/,
*,
_sync_wrapper: c.Callable[
[c.Callable[..., t.Any]], c.Callable[..., c.Coroutine[t.Any, t.Any, t.Any]]
]
| None = None,
**kwargs: t.Any,
) -> list[tuple[c.Callable[..., t.Any], t.Any]]:
"""Await all receivers that are connected to the given ``sender``
or :data:`ANY`. Each receiver is called with ``sender`` as a positional
argument along with any extra keyword arguments. Return a list of
``(receiver, return value)`` tuples.
The order receivers are called is undefined, but can be influenced by
setting :attr:`set_class`.
If a receiver raises an exception, that exception will propagate up.
This makes debugging straightforward, with an assumption that correctly
implemented receivers will not raise.
:param sender: Call receivers connected to this sender, in addition to
those connected to :data:`ANY`.
:param _sync_wrapper: Will be called on any receivers that are sync
callables to turn them into async coroutines. For example,
could call the receiver in a thread.
:param kwargs: Extra keyword arguments to pass to each receiver.
.. versionadded:: 1.7
"""
if self.is_muted:
return []
results = []
for receiver in self.receivers_for(sender):
if not iscoroutinefunction(receiver):
if _sync_wrapper is None:
raise RuntimeError("Cannot send to a non-coroutine function.")
result = await _sync_wrapper(receiver)(sender, **kwargs)
else:
result = await receiver(sender, **kwargs)
results.append((receiver, result))
return results
def has_receivers_for(self, sender: t.Any) -> bool:
"""Check if there is at least one receiver that will be called with the
given ``sender``. A receiver connected to :data:`ANY` will always be
called, regardless of sender. Does not check if weakly referenced
receivers are still live. See :meth:`receivers_for` for a stronger
search.
:param sender: Check for receivers connected to this sender, in addition
to those connected to :data:`ANY`.
"""
if not self.receivers:
return False
if self._by_sender[ANY_ID]:
return True
if sender is ANY:
return False
return make_id(sender) in self._by_sender
def receivers_for(
self, sender: t.Any
) -> c.Generator[c.Callable[..., t.Any], None, None]:
"""Yield each receiver to be called for ``sender``, in addition to those
to be called for :data:`ANY`. Weakly referenced receivers that are not
live will be disconnected and skipped.
:param sender: Yield receivers connected to this sender, in addition
to those connected to :data:`ANY`.
"""
# TODO: test receivers_for(ANY)
if not self.receivers:
return
sender_id = make_id(sender)
if sender_id in self._by_sender:
ids = self._by_sender[ANY_ID] | self._by_sender[sender_id]
else:
ids = self._by_sender[ANY_ID].copy()
for receiver_id in ids:
receiver = self.receivers.get(receiver_id)
if receiver is None:
continue
if isinstance(receiver, weakref.ref):
strong = receiver()
if strong is None:
self._disconnect(receiver_id, ANY_ID)
continue
yield strong
else:
yield receiver
def disconnect(self, receiver: c.Callable[..., t.Any], sender: t.Any = ANY) -> None:
"""Disconnect ``receiver`` from being called when the signal is sent by
``sender``.
:param receiver: A connected receiver callable.
:param sender: Disconnect from only this sender. By default, disconnect
from all senders.
"""
sender_id: c.Hashable
if sender is ANY:
sender_id = ANY_ID
else:
sender_id = make_id(sender)
receiver_id = make_id(receiver)
self._disconnect(receiver_id, sender_id)
if (
"receiver_disconnected" in self.__dict__
and self.receiver_disconnected.receivers
):
self.receiver_disconnected.send(self, receiver=receiver, sender=sender)
def _disconnect(self, receiver_id: c.Hashable, sender_id: c.Hashable) -> None:
if sender_id == ANY_ID:
if self._by_receiver.pop(receiver_id, None) is not None:
for bucket in self._by_sender.values():
bucket.discard(receiver_id)
self.receivers.pop(receiver_id, None)
else:
self._by_sender[sender_id].discard(receiver_id)
self._by_receiver[receiver_id].discard(sender_id)
def _make_cleanup_receiver(
self, receiver_id: c.Hashable
) -> c.Callable[[weakref.ref[c.Callable[..., t.Any]]], None]:
"""Create a callback function to disconnect a weakly referenced
receiver when it is garbage collected.
"""
def cleanup(ref: weakref.ref[c.Callable[..., t.Any]]) -> None:
self._disconnect(receiver_id, ANY_ID)
return cleanup
def _make_cleanup_sender(
self, sender_id: c.Hashable
) -> c.Callable[[weakref.ref[t.Any]], None]:
"""Create a callback function to disconnect all receivers for a weakly
referenced sender when it is garbage collected.
"""
assert sender_id != ANY_ID
def cleanup(ref: weakref.ref[t.Any]) -> None:
self._weak_senders.pop(sender_id, None)
for receiver_id in self._by_sender.pop(sender_id, ()):
self._by_receiver[receiver_id].discard(sender_id)
return cleanup
def _cleanup_bookkeeping(self) -> None:
"""Prune unused sender/receiver bookkeeping. Not threadsafe.
Connecting & disconnecting leaves behind a small amount of bookkeeping
data. Typical workloads using Blinker, for example in most web apps,
Flask, CLI scripts, etc., are not adversely affected by this
bookkeeping.
With a long-running process performing dynamic signal routing with high
volume, e.g. connecting to function closures, senders are all unique
object instances. Doing all of this over and over may cause memory usage
to grow due to extraneous bookkeeping. (An empty ``set`` for each stale
sender/receiver pair.)
This method will prune that bookkeeping away, with the caveat that such
pruning is not threadsafe. The risk is that cleanup of a fully
disconnected receiver/sender pair occurs while another thread is
connecting that same pair. If you are in the highly dynamic, unique
receiver/sender situation that has lead you to this method, that failure
mode is perhaps not a big deal for you.
"""
for mapping in (self._by_sender, self._by_receiver):
for ident, bucket in list(mapping.items()):
if not bucket:
mapping.pop(ident, None)
def _clear_state(self) -> None:
"""Disconnect all receivers and senders. Useful for tests."""
self._weak_senders.clear()
self.receivers.clear()
self._by_sender.clear()
self._by_receiver.clear()
_receiver_connected = Signal(
"""\
Sent by a :class:`Signal` after a receiver connects.
:argument: the Signal that was connected to
:keyword receiver_arg: the connected receiver
:keyword sender_arg: the sender to connect to
:keyword weak_arg: true if the connection to receiver_arg is a weak reference
.. deprecated:: 1.2
Individual signals have their own :attr:`~Signal.receiver_connected` and
:attr:`~Signal.receiver_disconnected` signals with a slightly simplified
call signature. This global signal will be removed in Blinker 1.9.
"""
)
class NamedSignal(Signal):
"""A named generic notification emitter. The name is not used by the signal
itself, but matches the key in the :class:`Namespace` that it belongs to.
:param name: The name of the signal within the namespace.
:param doc: The docstring for the signal.
"""
def __init__(self, name: str, doc: str | None = None) -> None:
super().__init__(doc)
#: The name of this signal.
self.name: str = name
def __repr__(self) -> str:
base = super().__repr__()
return f"{base[:-1]}; {self.name!r}>" # noqa: E702
if t.TYPE_CHECKING:
class PNamespaceSignal(t.Protocol):
def __call__(self, name: str, doc: str | None = None) -> NamedSignal: ...
# Python < 3.9
_NamespaceBase = dict[str, NamedSignal] # type: ignore[misc]
else:
_NamespaceBase = dict
class Namespace(_NamespaceBase):
"""A dict mapping names to signals."""
def signal(self, name: str, doc: str | None = None) -> NamedSignal:
"""Return the :class:`NamedSignal` for the given ``name``, creating it
if required. Repeated calls with the same name return the same signal.
:param name: The name of the signal.
:param doc: The docstring of the signal.
"""
if name not in self:
self[name] = NamedSignal(name, doc)
return self[name]
class _WeakNamespace(WeakValueDictionary): # type: ignore[type-arg]
"""A weak mapping of names to signals.
Automatically cleans up unused signals when the last reference goes out
of scope. This namespace implementation provides similar behavior to Blinker
<= 1.2.
.. deprecated:: 1.3
Will be removed in Blinker 1.9.
.. versionadded:: 1.3
"""
def __init__(self) -> None:
warnings.warn(
"'WeakNamespace' is deprecated and will be removed in Blinker 1.9."
" Use 'Namespace' instead.",
DeprecationWarning,
stacklevel=2,
)
super().__init__()
def signal(self, name: str, doc: str | None = None) -> NamedSignal:
"""Return the :class:`NamedSignal` for the given ``name``, creating it
if required. Repeated calls with the same name return the same signal.
:param name: The name of the signal.
:param doc: The docstring of the signal.
"""
if name not in self:
self[name] = NamedSignal(name, doc)
return self[name] # type: ignore[no-any-return]
default_namespace: Namespace = Namespace()
"""A default :class:`Namespace` for creating named signals. :func:`signal`
creates a :class:`NamedSignal` in this namespace.
"""
signal: PNamespaceSignal = default_namespace.signal
"""Return a :class:`NamedSignal` in :data:`default_namespace` with the given
``name``, creating it if required. Repeated calls with the same name return the
same signal.
"""
def __getattr__(name: str) -> t.Any:
if name == "receiver_connected":
warnings.warn(
"The global 'receiver_connected' signal is deprecated and will be"
" removed in Blinker 1.9. Use 'Signal.receiver_connected' and"
" 'Signal.receiver_disconnected' instead.",
DeprecationWarning,
stacklevel=2,
)
return _receiver_connected
if name == "WeakNamespace":
warnings.warn(
"'WeakNamespace' is deprecated and will be removed in Blinker 1.9."
" Use 'Namespace' instead.",
DeprecationWarning,
stacklevel=2,
)
return _WeakNamespace
raise AttributeError(name)
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