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Metadata-Version: 2.4
Name: greenlet
Version: 3.3.0
Summary: Lightweight in-process concurrent programming
Home-page: https://greenlet.readthedocs.io/
Author: Alexey Borzenkov
Author-email: snaury@gmail.com
Maintainer: Jason Madden
Maintainer-email: jason@seecoresoftware.com
License: MIT AND Python-2.0
Project-URL: Bug Tracker, https://github.com/python-greenlet/greenlet/issues
Project-URL: Source Code, https://github.com/python-greenlet/greenlet/
Project-URL: Documentation, https://greenlet.readthedocs.io/
Project-URL: Changes, https://greenlet.readthedocs.io/en/latest/changes.html
Keywords: greenlet coroutine concurrency threads cooperative
Platform: any
Classifier: Development Status :: 5 - Production/Stable
Classifier: Intended Audience :: Developers
Classifier: Natural Language :: English
Classifier: Programming Language :: C
Classifier: Programming Language :: Python
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3 :: Only
Classifier: Programming Language :: Python :: 3.10
Classifier: Programming Language :: Python :: 3.11
Classifier: Programming Language :: Python :: 3.12
Classifier: Programming Language :: Python :: 3.13
Classifier: Programming Language :: Python :: 3.14
Classifier: Operating System :: OS Independent
Classifier: Topic :: Software Development :: Libraries :: Python Modules
Requires-Python: >=3.10
Description-Content-Type: text/x-rst
License-File: LICENSE
License-File: LICENSE.PSF
Provides-Extra: docs
Requires-Dist: Sphinx; extra == "docs"
Requires-Dist: furo; extra == "docs"
Provides-Extra: test
Requires-Dist: objgraph; extra == "test"
Requires-Dist: psutil; extra == "test"
Requires-Dist: setuptools; extra == "test"
Dynamic: author
Dynamic: author-email
Dynamic: classifier
Dynamic: description
Dynamic: description-content-type
Dynamic: home-page
Dynamic: keywords
Dynamic: license
Dynamic: license-file
Dynamic: maintainer
Dynamic: maintainer-email
Dynamic: platform
Dynamic: project-url
Dynamic: provides-extra
Dynamic: requires-python
Dynamic: summary
.. This file is included into docs/history.rst
Greenlets are lightweight coroutines for in-process concurrent
programming.
The "greenlet" package is a spin-off of `Stackless`_, a version of
CPython that supports micro-threads called "tasklets". Tasklets run
pseudo-concurrently (typically in a single or a few OS-level threads)
and are synchronized with data exchanges on "channels".
A "greenlet", on the other hand, is a still more primitive notion of
micro-thread with no implicit scheduling; coroutines, in other words.
This is useful when you want to control exactly when your code runs.
You can build custom scheduled micro-threads on top of greenlet;
however, it seems that greenlets are useful on their own as a way to
make advanced control flow structures. For example, we can recreate
generators; the difference with Python's own generators is that our
generators can call nested functions and the nested functions can
yield values too. (Additionally, you don't need a "yield" keyword. See
the example in `test_generator.py
<https://github.com/python-greenlet/greenlet/blob/adca19bf1f287b3395896a8f41f3f4fd1797fdc7/src/greenlet/tests/test_generator.py#L1>`_).
Greenlets are provided as a C extension module for the regular unmodified
interpreter.
.. _`Stackless`: http://www.stackless.com
Who is using Greenlet?
======================
There are several libraries that use Greenlet as a more flexible
alternative to Python's built in coroutine support:
- `Concurrence`_
- `Eventlet`_
- `Gevent`_
.. _Concurrence: http://opensource.hyves.org/concurrence/
.. _Eventlet: http://eventlet.net/
.. _Gevent: http://www.gevent.org/
Getting Greenlet
================
The easiest way to get Greenlet is to install it with pip::
pip install greenlet
Source code archives and binary distributions are available on the
python package index at https://pypi.org/project/greenlet
The source code repository is hosted on github:
https://github.com/python-greenlet/greenlet
Documentation is available on readthedocs.org:
https://greenlet.readthedocs.io

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Metadata-Version: 2.4
Name: idna
Version: 3.11
Summary: Internationalized Domain Names in Applications (IDNA)
Author-email: Kim Davies <kim+pypi@gumleaf.org>
Requires-Python: >=3.8
Description-Content-Type: text/x-rst
License-Expression: BSD-3-Clause
Classifier: Development Status :: 5 - Production/Stable
Classifier: Intended Audience :: Developers
Classifier: Intended Audience :: System Administrators
Classifier: Operating System :: OS Independent
Classifier: Programming Language :: Python
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3 :: Only
Classifier: Programming Language :: Python :: 3.8
Classifier: Programming Language :: Python :: 3.9
Classifier: Programming Language :: Python :: 3.10
Classifier: Programming Language :: Python :: 3.11
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Classifier: Programming Language :: Python :: 3.14
Classifier: Programming Language :: Python :: Implementation :: CPython
Classifier: Programming Language :: Python :: Implementation :: PyPy
Classifier: Topic :: Internet :: Name Service (DNS)
Classifier: Topic :: Software Development :: Libraries :: Python Modules
Classifier: Topic :: Utilities
License-File: LICENSE.md
Requires-Dist: ruff >= 0.6.2 ; extra == "all"
Requires-Dist: mypy >= 1.11.2 ; extra == "all"
Requires-Dist: pytest >= 8.3.2 ; extra == "all"
Requires-Dist: flake8 >= 7.1.1 ; extra == "all"
Project-URL: Changelog, https://github.com/kjd/idna/blob/master/HISTORY.rst
Project-URL: Issue tracker, https://github.com/kjd/idna/issues
Project-URL: Source, https://github.com/kjd/idna
Provides-Extra: all
Internationalized Domain Names in Applications (IDNA)
=====================================================
Support for `Internationalized Domain Names in
Applications (IDNA) <https://tools.ietf.org/html/rfc5891>`_
and `Unicode IDNA Compatibility Processing
<https://unicode.org/reports/tr46/>`_.
The latest versions of these standards supplied here provide
more comprehensive language coverage and reduce the potential of
allowing domains with known security vulnerabilities. This library
is a suitable replacement for the “encodings.idna”
module that comes with the Python standard library, but which
only supports an older superseded IDNA specification from 2003.
Basic functions are simply executed:
.. code-block:: pycon
>>> import idna
>>> idna.encode('ドメイン.テスト')
b'xn--eckwd4c7c.xn--zckzah'
>>> print(idna.decode('xn--eckwd4c7c.xn--zckzah'))
ドメイン.テスト
Installation
------------
This package is available for installation from PyPI via the
typical mechanisms, such as:
.. code-block:: bash
$ python3 -m pip install idna
Usage
-----
For typical usage, the ``encode`` and ``decode`` functions will take a
domain name argument and perform a conversion to ASCII compatible encoding
(known as A-labels), or to Unicode strings (known as U-labels)
respectively.
.. code-block:: pycon
>>> import idna
>>> idna.encode('ドメイン.テスト')
b'xn--eckwd4c7c.xn--zckzah'
>>> print(idna.decode('xn--eckwd4c7c.xn--zckzah'))
ドメイン.テスト
Conversions can be applied at a per-label basis using the ``ulabel`` or
``alabel`` functions if necessary:
.. code-block:: pycon
>>> idna.alabel('测试')
b'xn--0zwm56d'
Compatibility Mapping (UTS #46)
+++++++++++++++++++++++++++++++
This library provides support for `Unicode IDNA Compatibility
Processing <https://unicode.org/reports/tr46/>`_ which normalizes input from
different potential ways a user may input a domain prior to performing the IDNA
conversion operations. This functionality, known as a
`mapping <https://tools.ietf.org/html/rfc5895>`_, is considered by the
specification to be a local user-interface issue distinct from IDNA
conversion functionality.
For example, “Königsgäßchen” is not a permissible label as *LATIN
CAPITAL LETTER K* is not allowed (nor are capital letters in general).
UTS 46 will convert this into lower case prior to applying the IDNA
conversion.
.. code-block:: pycon
>>> import idna
>>> idna.encode('Königsgäßchen')
...
idna.core.InvalidCodepoint: Codepoint U+004B at position 1 of 'Königsgäßchen' not allowed
>>> idna.encode('Königsgäßchen', uts46=True)
b'xn--knigsgchen-b4a3dun'
>>> print(idna.decode('xn--knigsgchen-b4a3dun'))
königsgäßchen
Exceptions
----------
All errors raised during the conversion following the specification
should raise an exception derived from the ``idna.IDNAError`` base
class.
More specific exceptions that may be generated as ``idna.IDNABidiError``
when the error reflects an illegal combination of left-to-right and
right-to-left characters in a label; ``idna.InvalidCodepoint`` when
a specific codepoint is an illegal character in an IDN label (i.e.
INVALID); and ``idna.InvalidCodepointContext`` when the codepoint is
illegal based on its position in the string (i.e. it is CONTEXTO or CONTEXTJ
but the contextual requirements are not satisfied.)
Building and Diagnostics
------------------------
The IDNA and UTS 46 functionality relies upon pre-calculated lookup
tables for performance. These tables are derived from computing against
eligibility criteria in the respective standards using the command-line
script ``tools/idna-data``.
This tool will fetch relevant codepoint data from the Unicode repository
and perform the required calculations to identify eligibility. There are
three main modes:
* ``idna-data make-libdata``. Generates ``idnadata.py`` and
``uts46data.py``, the pre-calculated lookup tables used for IDNA and
UTS 46 conversions. Implementers who wish to track this library against
a different Unicode version may use this tool to manually generate a
different version of the ``idnadata.py`` and ``uts46data.py`` files.
* ``idna-data make-table``. Generate a table of the IDNA disposition
(e.g. PVALID, CONTEXTJ, CONTEXTO) in the format found in Appendix
B.1 of RFC 5892 and the pre-computed tables published by `IANA
<https://www.iana.org/>`_.
* ``idna-data U+0061``. Prints debugging output on the various
properties associated with an individual Unicode codepoint (in this
case, U+0061), that are used to assess the IDNA and UTS 46 status of a
codepoint. This is helpful in debugging or analysis.
The tool accepts a number of arguments, described using ``idna-data
-h``. Most notably, the ``--version`` argument allows the specification
of the version of Unicode to be used in computing the table data. For
example, ``idna-data --version 9.0.0 make-libdata`` will generate
library data against Unicode 9.0.0.
Additional Notes
----------------
* **Packages**. The latest tagged release version is published in the
`Python Package Index <https://pypi.org/project/idna/>`_.
* **Version support**. This library supports Python 3.8 and higher.
As this library serves as a low-level toolkit for a variety of
applications, many of which strive for broad compatibility with older
Python versions, there is no rush to remove older interpreter support.
Support for older versions are likely to be removed from new releases
as automated tests can no longer easily be run, i.e. once the Python
version is officially end-of-life.
* **Testing**. The library has a test suite based on each rule of the
IDNA specification, as well as tests that are provided as part of the
Unicode Technical Standard 46, `Unicode IDNA Compatibility Processing
<https://unicode.org/reports/tr46/>`_.
* **Emoji**. It is an occasional request to support emoji domains in
this library. Encoding of symbols like emoji is expressly prohibited by
the technical standard IDNA 2008 and emoji domains are broadly phased
out across the domain industry due to associated security risks. For
now, applications that need to support these non-compliant labels
may wish to consider trying the encode/decode operation in this library
first, and then falling back to using `encodings.idna`. See `the Github
project <https://github.com/kjd/idna/issues/18>`_ for more discussion.
* **Transitional processing**. Unicode 16.0.0 removed transitional
processing so the `transitional` argument for the encode() method
no longer has any effect and will be removed at a later date.

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Metadata-Version: 2.4
Name: soupsieve
Version: 2.8.3
Summary: A modern CSS selector implementation for Beautiful Soup.
Project-URL: Homepage, https://github.com/facelessuser/soupsieve
Author-email: Isaac Muse <Isaac.Muse@gmail.com>
License-Expression: MIT
License-File: LICENSE.md
Keywords: CSS,HTML,XML,filter,query,selector,soup
Classifier: Development Status :: 5 - Production/Stable
Classifier: Environment :: Console
Classifier: Intended Audience :: Developers
Classifier: License :: OSI Approved :: MIT License
Classifier: Operating System :: OS Independent
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.9
Classifier: Programming Language :: Python :: 3.10
Classifier: Programming Language :: Python :: 3.11
Classifier: Programming Language :: Python :: 3.12
Classifier: Programming Language :: Python :: 3.13
Classifier: Programming Language :: Python :: 3.14
Classifier: Topic :: Internet :: WWW/HTTP :: Dynamic Content
Classifier: Topic :: Software Development :: Libraries :: Python Modules
Classifier: Typing :: Typed
Requires-Python: >=3.9
Description-Content-Type: text/markdown
[![Donate via PayPal][donate-image]][donate-link]
[![Build][github-ci-image]][github-ci-link]
[![Coverage Status][codecov-image]][codecov-link]
[![PyPI Version][pypi-image]][pypi-link]
[![PyPI Downloads][pypi-down]][pypi-link]
[![PyPI - Python Version][python-image]][pypi-link]
[![License][license-image-mit]][license-link]
# Soup Sieve
## Overview
Soup Sieve is a CSS selector library designed to be used with [Beautiful Soup 4][bs4]. It aims to provide selecting,
matching, and filtering using modern CSS selectors. Soup Sieve currently provides selectors from the CSS level 1
specifications up through the latest CSS level 4 drafts and beyond (though some are not yet implemented).
Soup Sieve was written with the intent to replace Beautiful Soup's builtin select feature, and as of Beautiful Soup
version 4.7.0, it now is :confetti_ball:. Soup Sieve can also be imported in order to use its API directly for
more controlled, specialized parsing.
Soup Sieve has implemented most of the CSS selectors up through the latest CSS draft specifications, though there are a
number that don't make sense in a non-browser environment. Selectors that cannot provide meaningful functionality simply
do not match anything. Some of the supported selectors are:
- `.classes`
- `#ids`
- `[attributes=value]`
- `parent child`
- `parent > child`
- `sibling ~ sibling`
- `sibling + sibling`
- `:not(element.class, element2.class)`
- `:is(element.class, element2.class)`
- `parent:has(> child)`
- and [many more](https://facelessuser.github.io/soupsieve/selectors/)
## Installation
You must have Beautiful Soup already installed:
```
pip install beautifulsoup4
```
In most cases, assuming you've installed version 4.7.0, that should be all you need to do, but if you've installed via
some alternative method, and Soup Sieve is not automatically installed, you can install it directly:
```
pip install soupsieve
```
If you want to manually install it from source, first ensure that [`build`](https://pypi.org/project/build/) is
installed:
```
pip install build
```
Then navigate to the root of the project and build the wheel and install (replacing `<ver>` with the current version):
```
python -m build -w
pip install dist/soupsieve-<ver>-py3-none-any.whl
```
## Documentation
Documentation is found here: https://facelessuser.github.io/soupsieve/.
## License
MIT
[bs4]: https://beautiful-soup-4.readthedocs.io/en/latest/#
[github-ci-image]: https://github.com/facelessuser/soupsieve/workflows/build/badge.svg
[github-ci-link]: https://github.com/facelessuser/soupsieve/actions?query=workflow%3Abuild+branch%3Amain
[codecov-image]: https://img.shields.io/codecov/c/github/facelessuser/soupsieve/master.svg?logo=codecov&logoColor=aaaaaa&labelColor=333333
[codecov-link]: https://codecov.io/github/facelessuser/soupsieve
[pypi-image]: https://img.shields.io/pypi/v/soupsieve.svg?logo=pypi&logoColor=aaaaaa&labelColor=333333
[pypi-down]: https://img.shields.io/pypi/dm/soupsieve.svg?logo=pypi&logoColor=aaaaaa&labelColor=333333
[pypi-link]: https://pypi.python.org/pypi/soupsieve
[python-image]: https://img.shields.io/pypi/pyversions/soupsieve?logo=python&logoColor=aaaaaa&labelColor=333333
[license-image-mit]: https://img.shields.io/badge/license-MIT-blue.svg?labelColor=333333
[license-link]: https://github.com/facelessuser/soupsieve/blob/main/LICENSE.md
[donate-image]: https://img.shields.io/badge/Donate-PayPal-3fabd1?logo=paypal
[donate-link]: https://www.paypal.me/facelessuser

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Metadata-Version: 2.4
Name: asyncpg
Version: 0.31.0
Summary: An asyncio PostgreSQL driver
Author-email: MagicStack Inc <hello@magic.io>
License-Expression: Apache-2.0
Project-URL: github, https://github.com/MagicStack/asyncpg
Keywords: database,postgres
Classifier: Development Status :: 5 - Production/Stable
Classifier: Framework :: AsyncIO
Classifier: Intended Audience :: Developers
Classifier: Operating System :: POSIX
Classifier: Operating System :: MacOS :: MacOS X
Classifier: Operating System :: Microsoft :: Windows
Classifier: Programming Language :: Python :: 3 :: Only
Classifier: Programming Language :: Python :: 3.9
Classifier: Programming Language :: Python :: 3.10
Classifier: Programming Language :: Python :: 3.11
Classifier: Programming Language :: Python :: 3.12
Classifier: Programming Language :: Python :: 3.13
Classifier: Programming Language :: Python :: 3.14
Classifier: Programming Language :: Python :: Implementation :: CPython
Classifier: Programming Language :: Python :: Free Threading :: 2 - Beta
Classifier: Topic :: Database :: Front-Ends
Requires-Python: >=3.9.0
Description-Content-Type: text/x-rst
License-File: LICENSE
Requires-Dist: async_timeout>=4.0.3; python_version < "3.11.0"
Provides-Extra: gssauth
Requires-Dist: gssapi; platform_system != "Windows" and extra == "gssauth"
Requires-Dist: sspilib; platform_system == "Windows" and extra == "gssauth"
Dynamic: license-file
asyncpg -- A fast PostgreSQL Database Client Library for Python/asyncio
=======================================================================
.. image:: https://github.com/MagicStack/asyncpg/workflows/Tests/badge.svg
:target: https://github.com/MagicStack/asyncpg/actions?query=workflow%3ATests+branch%3Amaster
:alt: GitHub Actions status
.. image:: https://img.shields.io/pypi/v/asyncpg.svg
:target: https://pypi.python.org/pypi/asyncpg
**asyncpg** is a database interface library designed specifically for
PostgreSQL and Python/asyncio. asyncpg is an efficient, clean implementation
of PostgreSQL server binary protocol for use with Python's ``asyncio``
framework. You can read more about asyncpg in an introductory
`blog post <http://magic.io/blog/asyncpg-1m-rows-from-postgres-to-python/>`_.
asyncpg requires Python 3.9 or later and is supported for PostgreSQL
versions 9.5 to 18. Other PostgreSQL versions or other databases
implementing the PostgreSQL protocol *may* work, but are not being
actively tested.
Documentation
-------------
The project documentation can be found
`here <https://magicstack.github.io/asyncpg/current/>`_.
Performance
-----------
In our testing asyncpg is, on average, **5x** faster than psycopg3.
.. image:: https://raw.githubusercontent.com/MagicStack/asyncpg/master/performance.png?fddca40ab0
:target: https://gistpreview.github.io/?0ed296e93523831ea0918d42dd1258c2
The above results are a geometric mean of benchmarks obtained with PostgreSQL
`client driver benchmarking toolbench <https://github.com/MagicStack/pgbench>`_
in June 2023 (click on the chart to see full details).
Features
--------
asyncpg implements PostgreSQL server protocol natively and exposes its
features directly, as opposed to hiding them behind a generic facade
like DB-API.
This enables asyncpg to have easy-to-use support for:
* **prepared statements**
* **scrollable cursors**
* **partial iteration** on query results
* automatic encoding and decoding of composite types, arrays,
and any combination of those
* straightforward support for custom data types
Installation
------------
asyncpg is available on PyPI. When not using GSSAPI/SSPI authentication it
has no dependencies. Use pip to install::
$ pip install asyncpg
If you need GSSAPI/SSPI authentication, use::
$ pip install 'asyncpg[gssauth]'
For more details, please `see the documentation
<https://magicstack.github.io/asyncpg/current/installation.html>`_.
Basic Usage
-----------
.. code-block:: python
import asyncio
import asyncpg
async def run():
conn = await asyncpg.connect(user='user', password='password',
database='database', host='127.0.0.1')
values = await conn.fetch(
'SELECT * FROM mytable WHERE id = $1',
10,
)
await conn.close()
asyncio.run(run())
License
-------
asyncpg is developed and distributed under the Apache 2.0 license.