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feat: numpy, pandas support

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This commit is contained in:
Timothy J. Baek 2024-05-16 20:25:55 -10:00
parent 6dedf9885f
commit 01a656cc80
21 changed files with 1961 additions and 24 deletions
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6
package-lock.json generated
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@ -8,7 +8,6 @@
"name": "open-webui",
"version": "0.1.124",
"dependencies": {
"@micropython/micropython-webassembly-pyscript": "^1.22.0-369",
"@pyscript/core": "^0.4.32",
"@sveltejs/adapter-node": "^1.3.1",
"async": "^3.2.5",
@ -834,11 +833,6 @@
"svelte": ">=3 <5"
}
},
"node_modules/@micropython/micropython-webassembly-pyscript": {
"version": "1.22.0-369",
"resolved": "https://registry.npmjs.org/@micropython/micropython-webassembly-pyscript/-/micropython-webassembly-pyscript-1.22.0-369.tgz",
"integrity": "sha512-+wqB6Va0rJtWXUmkthPVIEh1+Xh9Q+eJlBKWgYjjSe/FaRYo9z9U7CbvLaJNOJrb5R9dCTI6P9Ij4BrBxnwyVQ=="
},
"node_modules/@nodelib/fs.scandir": {
"version": "2.1.5",
"resolved": "https://registry.npmjs.org/@nodelib/fs.scandir/-/fs.scandir-2.1.5.tgz",

1
package.json
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@ -47,7 +47,6 @@
},
"type": "module",
"dependencies": {
"@micropython/micropython-webassembly-pyscript": "^1.22.0-369",
"@pyscript/core": "^0.4.32",
"@sveltejs/adapter-node": "^1.3.1",
"async": "^3.2.5",

1
src/lib/components/chat/MessageInput.svelte
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@ -327,7 +327,6 @@
};
onMount(() => {
console.log(document.getElementById('sidebar'));
window.setTimeout(() => chatTextAreaElement?.focus(), 0);
const dropZone = document.querySelector('body');

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src/lib/components/chat/Messages.svelte
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@ -23,7 +23,7 @@
export let regenerateResponse: Function;
export let prompt;
export let suggestionPrompts;
export let suggestionPrompts = [];
export let processing = '';
export let bottomPadding = false;
export let autoScroll;

17
src/lib/components/chat/Messages/CodeBlock.svelte
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@ -166,6 +166,23 @@
});
try {
const res = await pyodide.loadPackage('micropip');
console.log(res);
const micropip = pyodide.pyimport('micropip');
await micropip.set_index_urls('https://pypi.org/pypi/{package_name}/json');
let packages = [
code.includes('requests') ? 'requests' : null,
code.includes('bs4') ? 'beautifulsoup4' : null,
code.includes('numpy') ? 'numpy' : null,
code.includes('pandas') ? 'pandas' : null
].filter(Boolean);
console.log(packages);
await micropip.install(packages);
result = pyodide.runPython(code);
console.log(result);

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src/routes/(app)/c/[id]/+page.svelte
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@ -931,6 +931,7 @@
bind:history
bind:messages
bind:autoScroll
bind:prompt
bottomPadding={files.length > 0}
{sendPrompt}
{continueGeneration}
@ -946,7 +947,6 @@
bind:prompt
bind:autoScroll
bind:selectedModel={atSelectedModel}
suggestionPrompts={selectedModelfile?.suggestionPrompts ?? $config.default_prompt_suggestions}
{messages}
{submitPrompt}
{stopResponse}

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static/pyodide/micropip-0.6.0-py3-none-any.whl.metadata Normal file
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Metadata-Version: 2.1
Name: micropip
Version: 0.6.0
Summary: A lightweight Python package installer for the web
Author: Pyodide developers
License: Mozilla Public License Version 2.0
==================================
1. Definitions
--------------
1.1. "Contributor"
means each individual or legal entity that creates, contributes to
the creation of, or owns Covered Software.
1.2. "Contributor Version"
means the combination of the Contributions of others (if any) used
by a Contributor and that particular Contributor's Contribution.
1.3. "Contribution"
means Covered Software of a particular Contributor.
1.4. "Covered Software"
means Source Code Form to which the initial Contributor has attached
the notice in Exhibit A, the Executable Form of such Source Code
Form, and Modifications of such Source Code Form, in each case
including portions thereof.
1.5. "Incompatible With Secondary Licenses"
means
(a) that the initial Contributor has attached the notice described
in Exhibit B to the Covered Software; or
(b) that the Covered Software was made available under the terms of
version 1.1 or earlier of the License, but not also under the
terms of a Secondary License.
1.6. "Executable Form"
means any form of the work other than Source Code Form.
1.7. "Larger Work"
means a work that combines Covered Software with other material, in
a separate file or files, that is not Covered Software.
1.8. "License"
means this document.
1.9. "Licensable"
means having the right to grant, to the maximum extent possible,
whether at the time of the initial grant or subsequently, any and
all of the rights conveyed by this License.
1.10. "Modifications"
means any of the following:
(a) any file in Source Code Form that results from an addition to,
deletion from, or modification of the contents of Covered
Software; or
(b) any new file in Source Code Form that contains any Covered
Software.
1.11. "Patent Claims" of a Contributor
means any patent claim(s), including without limitation, method,
process, and apparatus claims, in any patent Licensable by such
Contributor that would be infringed, but for the grant of the
License, by the making, using, selling, offering for sale, having
made, import, or transfer of either its Contributions or its
Contributor Version.
1.12. "Secondary License"
means either the GNU General Public License, Version 2.0, the GNU
Lesser General Public License, Version 2.1, the GNU Affero General
Public License, Version 3.0, or any later versions of those
licenses.
1.13. "Source Code Form"
means the form of the work preferred for making modifications.
1.14. "You" (or "Your")
means an individual or a legal entity exercising rights under this
License. For legal entities, "You" includes any entity that
controls, is controlled by, or is under common control with You. For
purposes of this definition, "control" means (a) the power, direct
or indirect, to cause the direction or management of such entity,
whether by contract or otherwise, or (b) ownership of more than
fifty percent (50%) of the outstanding shares or beneficial
ownership of such entity.
2. License Grants and Conditions
--------------------------------
2.1. Grants
Each Contributor hereby grants You a world-wide, royalty-free,
non-exclusive license:
(a) under intellectual property rights (other than patent or trademark)
Licensable by such Contributor to use, reproduce, make available,
modify, display, perform, distribute, and otherwise exploit its
Contributions, either on an unmodified basis, with Modifications, or
as part of a Larger Work; and
(b) under Patent Claims of such Contributor to make, use, sell, offer
for sale, have made, import, and otherwise transfer either its
Contributions or its Contributor Version.
2.2. Effective Date
The licenses granted in Section 2.1 with respect to any Contribution
become effective for each Contribution on the date the Contributor first
distributes such Contribution.
2.3. Limitations on Grant Scope
The licenses granted in this Section 2 are the only rights granted under
this License. No additional rights or licenses will be implied from the
distribution or licensing of Covered Software under this License.
Notwithstanding Section 2.1(b) above, no patent license is granted by a
Contributor:
(a) for any code that a Contributor has removed from Covered Software;
or
(b) for infringements caused by: (i) Your and any other third party's
modifications of Covered Software, or (ii) the combination of its
Contributions with other software (except as part of its Contributor
Version); or
(c) under Patent Claims infringed by Covered Software in the absence of
its Contributions.
This License does not grant any rights in the trademarks, service marks,
or logos of any Contributor (except as may be necessary to comply with
the notice requirements in Section 3.4).
2.4. Subsequent Licenses
No Contributor makes additional grants as a result of Your choice to
distribute the Covered Software under a subsequent version of this
License (see Section 10.2) or under the terms of a Secondary License (if
permitted under the terms of Section 3.3).
2.5. Representation
Each Contributor represents that the Contributor believes its
Contributions are its original creation(s) or it has sufficient rights
to grant the rights to its Contributions conveyed by this License.
2.6. Fair Use
This License is not intended to limit any rights You have under
applicable copyright doctrines of fair use, fair dealing, or other
equivalents.
2.7. Conditions
Sections 3.1, 3.2, 3.3, and 3.4 are conditions of the licenses granted
in Section 2.1.
3. Responsibilities
-------------------
3.1. Distribution of Source Form
All distribution of Covered Software in Source Code Form, including any
Modifications that You create or to which You contribute, must be under
the terms of this License. You must inform recipients that the Source
Code Form of the Covered Software is governed by the terms of this
License, and how they can obtain a copy of this License. You may not
attempt to alter or restrict the recipients' rights in the Source Code
Form.
3.2. Distribution of Executable Form
If You distribute Covered Software in Executable Form then:
(a) such Covered Software must also be made available in Source Code
Form, as described in Section 3.1, and You must inform recipients of
the Executable Form how they can obtain a copy of such Source Code
Form by reasonable means in a timely manner, at a charge no more
than the cost of distribution to the recipient; and
(b) You may distribute such Executable Form under the terms of this
License, or sublicense it under different terms, provided that the
license for the Executable Form does not attempt to limit or alter
the recipients' rights in the Source Code Form under this License.
3.3. Distribution of a Larger Work
You may create and distribute a Larger Work under terms of Your choice,
provided that You also comply with the requirements of this License for
the Covered Software. If the Larger Work is a combination of Covered
Software with a work governed by one or more Secondary Licenses, and the
Covered Software is not Incompatible With Secondary Licenses, this
License permits You to additionally distribute such Covered Software
under the terms of such Secondary License(s), so that the recipient of
the Larger Work may, at their option, further distribute the Covered
Software under the terms of either this License or such Secondary
License(s).
3.4. Notices
You may not remove or alter the substance of any license notices
(including copyright notices, patent notices, disclaimers of warranty,
or limitations of liability) contained within the Source Code Form of
the Covered Software, except that You may alter any license notices to
the extent required to remedy known factual inaccuracies.
3.5. Application of Additional Terms
You may choose to offer, and to charge a fee for, warranty, support,
indemnity or liability obligations to one or more recipients of Covered
Software. However, You may do so only on Your own behalf, and not on
behalf of any Contributor. You must make it absolutely clear that any
such warranty, support, indemnity, or liability obligation is offered by
You alone, and You hereby agree to indemnify every Contributor for any
liability incurred by such Contributor as a result of warranty, support,
indemnity or liability terms You offer. You may include additional
disclaimers of warranty and limitations of liability specific to any
jurisdiction.
4. Inability to Comply Due to Statute or Regulation
---------------------------------------------------
If it is impossible for You to comply with any of the terms of this
License with respect to some or all of the Covered Software due to
statute, judicial order, or regulation then You must: (a) comply with
the terms of this License to the maximum extent possible; and (b)
describe the limitations and the code they affect. Such description must
be placed in a text file included with all distributions of the Covered
Software under this License. Except to the extent prohibited by statute
or regulation, such description must be sufficiently detailed for a
recipient of ordinary skill to be able to understand it.
5. Termination
--------------
5.1. The rights granted under this License will terminate automatically
if You fail to comply with any of its terms. However, if You become
compliant, then the rights granted under this License from a particular
Contributor are reinstated (a) provisionally, unless and until such
Contributor explicitly and finally terminates Your grants, and (b) on an
ongoing basis, if such Contributor fails to notify You of the
non-compliance by some reasonable means prior to 60 days after You have
come back into compliance. Moreover, Your grants from a particular
Contributor are reinstated on an ongoing basis if such Contributor
notifies You of the non-compliance by some reasonable means, this is the
first time You have received notice of non-compliance with this License
from such Contributor, and You become compliant prior to 30 days after
Your receipt of the notice.
5.2. If You initiate litigation against any entity by asserting a patent
infringement claim (excluding declaratory judgment actions,
counter-claims, and cross-claims) alleging that a Contributor Version
directly or indirectly infringes any patent, then the rights granted to
You by any and all Contributors for the Covered Software under Section
2.1 of this License shall terminate.
5.3. In the event of termination under Sections 5.1 or 5.2 above, all
end user license agreements (excluding distributors and resellers) which
have been validly granted by You or Your distributors under this License
prior to termination shall survive termination.
************************************************************************
* *
* 6. Disclaimer of Warranty *
* ------------------------- *
* *
* Covered Software is provided under this License on an "as is" *
* basis, without warranty of any kind, either expressed, implied, or *
* statutory, including, without limitation, warranties that the *
* Covered Software is free of defects, merchantable, fit for a *
* particular purpose or non-infringing. The entire risk as to the *
* quality and performance of the Covered Software is with You. *
* Should any Covered Software prove defective in any respect, You *
* (not any Contributor) assume the cost of any necessary servicing, *
* repair, or correction. This disclaimer of warranty constitutes an *
* essential part of this License. No use of any Covered Software is *
* authorized under this License except under this disclaimer. *
* *
************************************************************************
************************************************************************
* *
* 7. Limitation of Liability *
* -------------------------- *
* *
* Under no circumstances and under no legal theory, whether tort *
* (including negligence), contract, or otherwise, shall any *
* Contributor, or anyone who distributes Covered Software as *
* permitted above, be liable to You for any direct, indirect, *
* special, incidental, or consequential damages of any character *
* including, without limitation, damages for lost profits, loss of *
* goodwill, work stoppage, computer failure or malfunction, or any *
* and all other commercial damages or losses, even if such party *
* shall have been informed of the possibility of such damages. This *
* limitation of liability shall not apply to liability for death or *
* personal injury resulting from such party's negligence to the *
* extent applicable law prohibits such limitation. Some *
* jurisdictions do not allow the exclusion or limitation of *
* incidental or consequential damages, so this exclusion and *
* limitation may not apply to You. *
* *
************************************************************************
8. Litigation
-------------
Any litigation relating to this License may be brought only in the
courts of a jurisdiction where the defendant maintains its principal
place of business and such litigation shall be governed by laws of that
jurisdiction, without reference to its conflict-of-law provisions.
Nothing in this Section shall prevent a party's ability to bring
cross-claims or counter-claims.
9. Miscellaneous
----------------
This License represents the complete agreement concerning the subject
matter hereof. If any provision of this License is held to be
unenforceable, such provision shall be reformed only to the extent
necessary to make it enforceable. Any law or regulation which provides
that the language of a contract shall be construed against the drafter
shall not be used to construe this License against a Contributor.
10. Versions of the License
---------------------------
10.1. New Versions
Mozilla Foundation is the license steward. Except as provided in Section
10.3, no one other than the license steward has the right to modify or
publish new versions of this License. Each version will be given a
distinguishing version number.
10.2. Effect of New Versions
You may distribute the Covered Software under the terms of the version
of the License under which You originally received the Covered Software,
or under the terms of any subsequent version published by the license
steward.
10.3. Modified Versions
If you create software not governed by this License, and you want to
create a new license for such software, you may create and use a
modified version of this License if you rename the license and remove
any references to the name of the license steward (except to note that
such modified license differs from this License).
10.4. Distributing Source Code Form that is Incompatible With Secondary
Licenses
If You choose to distribute Source Code Form that is Incompatible With
Secondary Licenses under the terms of this version of the License, the
notice described in Exhibit B of this License must be attached.
Exhibit A - Source Code Form License Notice
-------------------------------------------
This Source Code Form is subject to the terms of the Mozilla Public
License, v. 2.0. If a copy of the MPL was not distributed with this
file, You can obtain one at http://mozilla.org/MPL/2.0/.
If it is not possible or desirable to put the notice in a particular
file, then You may include the notice in a location (such as a LICENSE
file in a relevant directory) where a recipient would be likely to look
for such a notice.
You may add additional accurate notices of copyright ownership.
Exhibit B - "Incompatible With Secondary Licenses" Notice
---------------------------------------------------------
This Source Code Form is "Incompatible With Secondary Licenses", as
defined by the Mozilla Public License, v. 2.0.
Project-URL: Homepage, https://github.com/pyodide/micropip
Project-URL: Bug Tracker, https://github.com/pyodide/micropip/issues
Classifier: Programming Language :: Python :: 3
Classifier: License :: OSI Approved :: Mozilla Public License 2.0 (MPL 2.0)
Classifier: Operating System :: OS Independent
Requires-Python: >=3.10
Description-Content-Type: text/markdown
License-File: LICENSE
Requires-Dist: packaging >=23.0
Provides-Extra: test
Requires-Dist: pytest-httpserver ; extra == 'test'
Requires-Dist: pytest-pyodide ; extra == 'test'
Requires-Dist: pytest-cov ; extra == 'test'
Requires-Dist: pytest <8.0.0 ; extra == 'test'
Requires-Dist: build ==0.7.0 ; extra == 'test'
# micropip
[![PyPI Latest Release](https://img.shields.io/pypi/v/micropip.svg)](https://pypi.org/project/micropip/)
![GHA](https://github.com/pyodide/micropip/actions/workflows/main.yml/badge.svg)
A lightweight Python package installer for the web
## Installation
In [Pyodide](https://pyodide.org), you can install micropip,
- either implicitly by importing it in the REPL
- or explicitly via `pyodide.loadPackage('micropip')`. You can also install by URL from PyPI for instance.
## Usage
```py
import micropip
await micropip.install(<list-of-packages>)
```
For more information see the
[documentation](https://pyodide.org/en/stable/usage/loading-packages.html#micropip).
## License
micropip uses the [Mozilla Public License Version
2.0](https://choosealicense.com/licenses/mpl-2.0/).

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Metadata-Version: 2.1
Name: numpy
Version: 1.26.4
Summary: Fundamental package for array computing in Python
Home-page: https://numpy.org
Author: Travis E. Oliphant et al.
Maintainer-Email: NumPy Developers <numpy-discussion@python.org>
License: Copyright (c) 2005-2023, NumPy Developers.
All rights reserved.
Redistribution and use in source and binary forms, with or without
modification, are permitted provided that the following conditions are
met:
* Redistributions of source code must retain the above copyright
notice, this list of conditions and the following disclaimer.
* 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.
* Neither the name of the NumPy Developers nor the names of any
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
OWNER 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.
Classifier: Development Status :: 5 - Production/Stable
Classifier: Intended Audience :: Science/Research
Classifier: Intended Audience :: Developers
Classifier: License :: OSI Approved :: BSD License
Classifier: Programming Language :: C
Classifier: Programming Language :: Python
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.9
Classifier: Programming Language :: Python :: 3.10
Classifier: Programming Language :: Python :: 3.11
Classifier: Programming Language :: Python :: 3.12
Classifier: Programming Language :: Python :: 3 :: Only
Classifier: Programming Language :: Python :: Implementation :: CPython
Classifier: Topic :: Software Development
Classifier: Topic :: Scientific/Engineering
Classifier: Typing :: Typed
Classifier: Operating System :: Microsoft :: Windows
Classifier: Operating System :: POSIX
Classifier: Operating System :: Unix
Classifier: Operating System :: MacOS
Project-URL: Homepage, https://numpy.org
Project-URL: Documentation, https://numpy.org/doc/
Project-URL: Source, https://github.com/numpy/numpy
Project-URL: Download, https://pypi.org/project/numpy/#files
Project-URL: Tracker, https://github.com/numpy/numpy/issues
Project-URL: Release notes, https://numpy.org/doc/stable/release
Requires-Python: >=3.9
Description-Content-Type: text/markdown
<h1 align="center">
<img src="https://raw.githubusercontent.com/numpy/numpy/main/branding/logo/primary/numpylogo.svg" width="300">
</h1><br>
[![Powered by NumFOCUS](https://img.shields.io/badge/powered%20by-NumFOCUS-orange.svg?style=flat&colorA=E1523D&colorB=007D8A)](
https://numfocus.org)
[![PyPI Downloads](https://img.shields.io/pypi/dm/numpy.svg?label=PyPI%20downloads)](
https://pypi.org/project/numpy/)
[![Conda Downloads](https://img.shields.io/conda/dn/conda-forge/numpy.svg?label=Conda%20downloads)](
https://anaconda.org/conda-forge/numpy)
[![Stack Overflow](https://img.shields.io/badge/stackoverflow-Ask%20questions-blue.svg)](
https://stackoverflow.com/questions/tagged/numpy)
[![Nature Paper](https://img.shields.io/badge/DOI-10.1038%2Fs41592--019--0686--2-blue)](
https://doi.org/10.1038/s41586-020-2649-2)
[![OpenSSF Scorecard](https://api.securityscorecards.dev/projects/github.com/numpy/numpy/badge)](https://api.securityscorecards.dev/projects/github.com/numpy/numpy)
NumPy is the fundamental package for scientific computing with Python.
- **Website:** https://www.numpy.org
- **Documentation:** https://numpy.org/doc
- **Mailing list:** https://mail.python.org/mailman/listinfo/numpy-discussion
- **Source code:** https://github.com/numpy/numpy
- **Contributing:** https://www.numpy.org/devdocs/dev/index.html
- **Bug reports:** https://github.com/numpy/numpy/issues
- **Report a security vulnerability:** https://tidelift.com/docs/security
It provides:
- a powerful N-dimensional array object
- sophisticated (broadcasting) functions
- tools for integrating C/C++ and Fortran code
- useful linear algebra, Fourier transform, and random number capabilities
Testing:
NumPy requires `pytest` and `hypothesis`. Tests can then be run after installation with:
python -c "import numpy, sys; sys.exit(numpy.test() is False)"
Code of Conduct
----------------------
NumPy is a community-driven open source project developed by a diverse group of
[contributors](https://numpy.org/teams/). The NumPy leadership has made a strong
commitment to creating an open, inclusive, and positive community. Please read the
[NumPy Code of Conduct](https://numpy.org/code-of-conduct/) for guidance on how to interact
with others in a way that makes our community thrive.
Call for Contributions
----------------------
The NumPy project welcomes your expertise and enthusiasm!
Small improvements or fixes are always appreciated. If you are considering larger contributions
to the source code, please contact us through the [mailing
list](https://mail.python.org/mailman/listinfo/numpy-discussion) first.
Writing code isn’t the only way to contribute to NumPy. You can also:
- review pull requests
- help us stay on top of new and old issues
- develop tutorials, presentations, and other educational materials
- maintain and improve [our website](https://github.com/numpy/numpy.org)
- develop graphic design for our brand assets and promotional materials
- translate website content
- help with outreach and onboard new contributors
- write grant proposals and help with other fundraising efforts
For more information about the ways you can contribute to NumPy, visit [our website](https://numpy.org/contribute/).
If you’re unsure where to start or how your skills fit in, reach out! You can
ask on the mailing list or here, on GitHub, by opening a new issue or leaving a
comment on a relevant issue that is already open.
Our preferred channels of communication are all public, but if you’d like to
speak to us in private first, contact our community coordinators at
numpy-team@googlegroups.com or on Slack (write numpy-team@googlegroups.com for
an invitation).
We also have a biweekly community call, details of which are announced on the
mailing list. You are very welcome to join.
If you are new to contributing to open source, [this
guide](https://opensource.guide/how-to-contribute/) helps explain why, what,
and how to successfully get involved.

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Metadata-Version: 2.1
Name: packaging
Version: 23.2
Summary: Core utilities for Python packages
Author-email: Donald Stufft <donald@stufft.io>
Requires-Python: >=3.7
Description-Content-Type: text/x-rst
Classifier: Development Status :: 5 - Production/Stable
Classifier: Intended Audience :: Developers
Classifier: License :: OSI Approved :: Apache Software License
Classifier: License :: OSI Approved :: BSD License
Classifier: Programming Language :: Python
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3 :: Only
Classifier: Programming Language :: Python :: 3.7
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 :: Implementation :: CPython
Classifier: Programming Language :: Python :: Implementation :: PyPy
Classifier: Typing :: Typed
Project-URL: Documentation, https://packaging.pypa.io/
Project-URL: Source, https://github.com/pypa/packaging
packaging
=========
.. start-intro
Reusable core utilities for various Python Packaging
`interoperability specifications <https://packaging.python.org/specifications/>`_.
This library provides utilities that implement the interoperability
specifications which have clearly one correct behaviour (eg: :pep:`440`)
or benefit greatly from having a single shared implementation (eg: :pep:`425`).
.. end-intro
The ``packaging`` project includes the following: version handling, specifiers,
markers, requirements, tags, utilities.
Documentation
-------------
The `documentation`_ provides information and the API for the following:
- Version Handling
- Specifiers
- Markers
- Requirements
- Tags
- Utilities
Installation
------------
Use ``pip`` to install these utilities::
pip install packaging
The ``packaging`` library uses calendar-based versioning (``YY.N``).
Discussion
----------
If you run into bugs, you can file them in our `issue tracker`_.
You can also join ``#pypa`` on Freenode to ask questions or get involved.
.. _`documentation`: https://packaging.pypa.io/
.. _`issue tracker`: https://github.com/pypa/packaging/issues
Code of Conduct
---------------
Everyone interacting in the packaging project's codebases, issue trackers, chat
rooms, and mailing lists is expected to follow the `PSF Code of Conduct`_.
.. _PSF Code of Conduct: https://github.com/pypa/.github/blob/main/CODE_OF_CONDUCT.md
Contributing
------------
The ``CONTRIBUTING.rst`` file outlines how to contribute to this project as
well as how to report a potential security issue. The documentation for this
project also covers information about `project development`_ and `security`_.
.. _`project development`: https://packaging.pypa.io/en/latest/development/
.. _`security`: https://packaging.pypa.io/en/latest/security/
Project History
---------------
Please review the ``CHANGELOG.rst`` file or the `Changelog documentation`_ for
recent changes and project history.
.. _`Changelog documentation`: https://packaging.pypa.io/en/latest/changelog/

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Name: pandas
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Summary: Powerful data structures for data analysis, time series, and statistics
Home-page: https://pandas.pydata.org
Author-Email: The Pandas Development Team <pandas-dev@python.org>
License: BSD 3-Clause License
Copyright (c) 2008-2011, AQR Capital Management, LLC, Lambda Foundry, Inc. and PyData Development Team
All rights reserved.
Copyright (c) 2011-2023, Open source contributors.
Redistribution and use in source and binary forms, with or without
modification, are permitted provided that the following conditions are met:
* Redistributions of source code must retain the above copyright notice, this
list of conditions and the following disclaimer.
* 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.
* 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,
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Description-Content-Type: text/markdown
<div align="center">
<img src="https://pandas.pydata.org/static/img/pandas.svg"><br>
</div>
-----------------
# pandas: powerful Python data analysis toolkit
| | |
| --- | --- |
| Testing | [![CI - Test](https://github.com/pandas-dev/pandas/actions/workflows/unit-tests.yml/badge.svg)](https://github.com/pandas-dev/pandas/actions/workflows/unit-tests.yml) [![Coverage](https://codecov.io/github/pandas-dev/pandas/coverage.svg?branch=main)](https://codecov.io/gh/pandas-dev/pandas) |
| Package | [![PyPI Latest Release](https://img.shields.io/pypi/v/pandas.svg)](https://pypi.org/project/pandas/) [![PyPI Downloads](https://img.shields.io/pypi/dm/pandas.svg?label=PyPI%20downloads)](https://pypi.org/project/pandas/) [![Conda Latest Release](https://anaconda.org/conda-forge/pandas/badges/version.svg)](https://anaconda.org/conda-forge/pandas) [![Conda Downloads](https://img.shields.io/conda/dn/conda-forge/pandas.svg?label=Conda%20downloads)](https://anaconda.org/conda-forge/pandas) |
| Meta | [![Powered by NumFOCUS](https://img.shields.io/badge/powered%20by-NumFOCUS-orange.svg?style=flat&colorA=E1523D&colorB=007D8A)](https://numfocus.org) [![DOI](https://zenodo.org/badge/DOI/10.5281/zenodo.3509134.svg)](https://doi.org/10.5281/zenodo.3509134) [![License - BSD 3-Clause](https://img.shields.io/pypi/l/pandas.svg)](https://github.com/pandas-dev/pandas/blob/main/LICENSE) [![Slack](https://img.shields.io/badge/join_Slack-information-brightgreen.svg?logo=slack)](https://pandas.pydata.org/docs/dev/development/community.html?highlight=slack#community-slack) |
## What is it?
**pandas** is a Python package that provides fast, flexible, and expressive data
structures designed to make working with "relational" or "labeled" data both
easy and intuitive. It aims to be the fundamental high-level building block for
doing practical, **real world** data analysis in Python. Additionally, it has
the broader goal of becoming **the most powerful and flexible open source data
analysis / manipulation tool available in any language**. It is already well on
its way towards this goal.
## Table of Contents
- [Main Features](#main-features)
- [Where to get it](#where-to-get-it)
- [Dependencies](#dependencies)
- [Installation from sources](#installation-from-sources)
- [License](#license)
- [Documentation](#documentation)
- [Background](#background)
- [Getting Help](#getting-help)
- [Discussion and Development](#discussion-and-development)
- [Contributing to pandas](#contributing-to-pandas)
## Main Features
Here are just a few of the things that pandas does well:
- Easy handling of [**missing data**][missing-data] (represented as
`NaN`, `NA`, or `NaT`) in floating point as well as non-floating point data
- Size mutability: columns can be [**inserted and
deleted**][insertion-deletion] from DataFrame and higher dimensional
objects
- Automatic and explicit [**data alignment**][alignment]: objects can
be explicitly aligned to a set of labels, or the user can simply
ignore the labels and let `Series`, `DataFrame`, etc. automatically
align the data for you in computations
- Powerful, flexible [**group by**][groupby] functionality to perform
split-apply-combine operations on data sets, for both aggregating
and transforming data
- Make it [**easy to convert**][conversion] ragged,
differently-indexed data in other Python and NumPy data structures
into DataFrame objects
- Intelligent label-based [**slicing**][slicing], [**fancy
indexing**][fancy-indexing], and [**subsetting**][subsetting] of
large data sets
- Intuitive [**merging**][merging] and [**joining**][joining] data
sets
- Flexible [**reshaping**][reshape] and [**pivoting**][pivot-table] of
data sets
- [**Hierarchical**][mi] labeling of axes (possible to have multiple
labels per tick)
- Robust IO tools for loading data from [**flat files**][flat-files]
(CSV and delimited), [**Excel files**][excel], [**databases**][db],
and saving/loading data from the ultrafast [**HDF5 format**][hdfstore]
- [**Time series**][timeseries]-specific functionality: date range
generation and frequency conversion, moving window statistics,
date shifting and lagging
[missing-data]: https://pandas.pydata.org/pandas-docs/stable/user_guide/missing_data.html
[insertion-deletion]: https://pandas.pydata.org/pandas-docs/stable/user_guide/dsintro.html#column-selection-addition-deletion
[alignment]: https://pandas.pydata.org/pandas-docs/stable/user_guide/dsintro.html?highlight=alignment#intro-to-data-structures
[groupby]: https://pandas.pydata.org/pandas-docs/stable/user_guide/groupby.html#group-by-split-apply-combine
[conversion]: https://pandas.pydata.org/pandas-docs/stable/user_guide/dsintro.html#dataframe
[slicing]: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#slicing-ranges
[fancy-indexing]: https://pandas.pydata.org/pandas-docs/stable/user_guide/advanced.html#advanced
[subsetting]: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#boolean-indexing
[merging]: https://pandas.pydata.org/pandas-docs/stable/user_guide/merging.html#database-style-dataframe-or-named-series-joining-merging
[joining]: https://pandas.pydata.org/pandas-docs/stable/user_guide/merging.html#joining-on-index
[reshape]: https://pandas.pydata.org/pandas-docs/stable/user_guide/reshaping.html
[pivot-table]: https://pandas.pydata.org/pandas-docs/stable/user_guide/reshaping.html
[mi]: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#hierarchical-indexing-multiindex
[flat-files]: https://pandas.pydata.org/pandas-docs/stable/user_guide/io.html#csv-text-files
[excel]: https://pandas.pydata.org/pandas-docs/stable/user_guide/io.html#excel-files
[db]: https://pandas.pydata.org/pandas-docs/stable/user_guide/io.html#sql-queries
[hdfstore]: https://pandas.pydata.org/pandas-docs/stable/user_guide/io.html#hdf5-pytables
[timeseries]: https://pandas.pydata.org/pandas-docs/stable/user_guide/timeseries.html#time-series-date-functionality
## Where to get it
The source code is currently hosted on GitHub at:
https://github.com/pandas-dev/pandas
Binary installers for the latest released version are available at the [Python
Package Index (PyPI)](https://pypi.org/project/pandas) and on [Conda](https://docs.conda.io/en/latest/).
```sh
# conda
conda install -c conda-forge pandas
```
```sh
# or PyPI
pip install pandas
```
The list of changes to pandas between each release can be found
[here](https://pandas.pydata.org/pandas-docs/stable/whatsnew/index.html). For full
details, see the commit logs at https://github.com/pandas-dev/pandas.
## Dependencies
- [NumPy - Adds support for large, multi-dimensional arrays, matrices and high-level mathematical functions to operate on these arrays](https://www.numpy.org)
- [python-dateutil - Provides powerful extensions to the standard datetime module](https://dateutil.readthedocs.io/en/stable/index.html)
- [pytz - Brings the Olson tz database into Python which allows accurate and cross platform timezone calculations](https://github.com/stub42/pytz)
See the [full installation instructions](https://pandas.pydata.org/pandas-docs/stable/install.html#dependencies) for minimum supported versions of required, recommended and optional dependencies.
## Installation from sources
To install pandas from source you need [Cython](https://cython.org/) in addition to the normal
dependencies above. Cython can be installed from PyPI:
```sh
pip install cython
```
In the `pandas` directory (same one where you found this file after
cloning the git repo), execute:
```sh
pip install .
```
or for installing in [development mode](https://pip.pypa.io/en/latest/cli/pip_install/#install-editable):
```sh
python -m pip install -ve . --no-build-isolation --config-settings=editable-verbose=true
```
See the full instructions for [installing from source](https://pandas.pydata.org/docs/dev/development/contributing_environment.html).
## License
[BSD 3](LICENSE)
## Documentation
The official documentation is hosted on [PyData.org](https://pandas.pydata.org/pandas-docs/stable/).
## Background
Work on ``pandas`` started at [AQR](https://www.aqr.com/) (a quantitative hedge fund) in 2008 and
has been under active development since then.
## Getting Help
For usage questions, the best place to go to is [StackOverflow](https://stackoverflow.com/questions/tagged/pandas).
Further, general questions and discussions can also take place on the [pydata mailing list](https://groups.google.com/forum/?fromgroups#!forum/pydata).
## Discussion and Development
Most development discussions take place on GitHub in this repo, via the [GitHub issue tracker](https://github.com/pandas-dev/pandas/issues).
Further, the [pandas-dev mailing list](https://mail.python.org/mailman/listinfo/pandas-dev) can also be used for specialized discussions or design issues, and a [Slack channel](https://pandas.pydata.org/docs/dev/development/community.html?highlight=slack#community-slack) is available for quick development related questions.
There are also frequent [community meetings](https://pandas.pydata.org/docs/dev/development/community.html#community-meeting) for project maintainers open to the community as well as monthly [new contributor meetings](https://pandas.pydata.org/docs/dev/development/community.html#new-contributor-meeting) to help support new contributors.
Additional information on the communication channels can be found on the [contributor community](https://pandas.pydata.org/docs/development/community.html) page.
## Contributing to pandas
[![Open Source Helpers](https://www.codetriage.com/pandas-dev/pandas/badges/users.svg)](https://www.codetriage.com/pandas-dev/pandas)
All contributions, bug reports, bug fixes, documentation improvements, enhancements, and ideas are welcome.
A detailed overview on how to contribute can be found in the **[contributing guide](https://pandas.pydata.org/docs/dev/development/contributing.html)**.
If you are simply looking to start working with the pandas codebase, navigate to the [GitHub "issues" tab](https://github.com/pandas-dev/pandas/issues) and start looking through interesting issues. There are a number of issues listed under [Docs](https://github.com/pandas-dev/pandas/issues?labels=Docs&sort=updated&state=open) and [good first issue](https://github.com/pandas-dev/pandas/issues?labels=good+first+issue&sort=updated&state=open) where you could start out.
You can also triage issues which may include reproducing bug reports, or asking for vital information such as version numbers or reproduction instructions. If you would like to start triaging issues, one easy way to get started is to [subscribe to pandas on CodeTriage](https://www.codetriage.com/pandas-dev/pandas).
Or maybe through using pandas you have an idea of your own or are looking for something in the documentation and thinking ‘this can be improved’...you can do something about it!
Feel free to ask questions on the [mailing list](https://groups.google.com/forum/?fromgroups#!forum/pydata) or on [Slack](https://pandas.pydata.org/docs/dev/development/community.html?highlight=slack#community-slack).
As contributors and maintainers to this project, you are expected to abide by pandas' code of conduct. More information can be found at: [Contributor Code of Conduct](https://github.com/pandas-dev/.github/blob/master/CODE_OF_CONDUCT.md)
<hr>
[Go to Top](#table-of-contents)

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dateutil - powerful extensions to datetime
==========================================
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The `dateutil` module provides powerful extensions to
the standard `datetime` module, available in Python.
Installation
============
`dateutil` can be installed from PyPI using `pip` (note that the package name is
different from the importable name)::
pip install python-dateutil
Download
========
dateutil is available on PyPI
https://pypi.org/project/python-dateutil/
The documentation is hosted at:
https://dateutil.readthedocs.io/en/stable/
Code
====
The code and issue tracker are hosted on GitHub:
https://github.com/dateutil/dateutil/
Features
========
* Computing of relative deltas (next month, next year,
next Monday, last week of month, etc);
* Computing of relative deltas between two given
date and/or datetime objects;
* Computing of dates based on very flexible recurrence rules,
using a superset of the `iCalendar <https://www.ietf.org/rfc/rfc2445.txt>`_
specification. Parsing of RFC strings is supported as well.
* Generic parsing of dates in almost any string format;
* Timezone (tzinfo) implementations for tzfile(5) format
files (/etc/localtime, /usr/share/zoneinfo, etc), TZ
environment string (in all known formats), iCalendar
format files, given ranges (with help from relative deltas),
local machine timezone, fixed offset timezone, UTC timezone,
and Windows registry-based time zones.
* Internal up-to-date world timezone information based on
Olson's database.
* Computing of Easter Sunday dates for any given year,
using Western, Orthodox or Julian algorithms;
* A comprehensive test suite.
Quick example
=============
Here's a snapshot, just to give an idea about the power of the
package. For more examples, look at the documentation.
Suppose you want to know how much time is left, in
years/months/days/etc, before the next easter happening on a
year with a Friday 13th in August, and you want to get today's
date out of the "date" unix system command. Here is the code:
.. code-block:: python3
>>> from dateutil.relativedelta import *
>>> from dateutil.easter import *
>>> from dateutil.rrule import *
>>> from dateutil.parser import *
>>> from datetime import *
>>> now = parse("Sat Oct 11 17:13:46 UTC 2003")
>>> today = now.date()
>>> year = rrule(YEARLY,dtstart=now,bymonth=8,bymonthday=13,byweekday=FR)[0].year
>>> rdelta = relativedelta(easter(year), today)
>>> print("Today is: %s" % today)
Today is: 2003-10-11
>>> print("Year with next Aug 13th on a Friday is: %s" % year)
Year with next Aug 13th on a Friday is: 2004
>>> print("How far is the Easter of that year: %s" % rdelta)
How far is the Easter of that year: relativedelta(months=+6)
>>> print("And the Easter of that year is: %s" % (today+rdelta))
And the Easter of that year is: 2004-04-11
Being exactly 6 months ahead was **really** a coincidence :)
Contributing
============
We welcome many types of contributions - bug reports, pull requests (code, infrastructure or documentation fixes). For more information about how to contribute to the project, see the ``CONTRIBUTING.md`` file in the repository.
Author
======
The dateutil module was written by Gustavo Niemeyer <gustavo@niemeyer.net>
in 2003.
It is maintained by:
* Gustavo Niemeyer <gustavo@niemeyer.net> 2003-2011
* Tomi Pieviläinen <tomi.pievilainen@iki.fi> 2012-2014
* Yaron de Leeuw <me@jarondl.net> 2014-2016
* Paul Ganssle <paul@ganssle.io> 2015-
Starting with version 2.4.1 and running until 2.8.2, all source and binary
distributions will be signed by a PGP key that has, at the very least, been
signed by the key which made the previous release. A table of release signing
keys can be found below:
=========== ============================
Releases Signing key fingerprint
=========== ============================
2.4.1-2.8.2 `6B49 ACBA DCF6 BD1C A206 67AB CD54 FCE3 D964 BEFB`_
=========== ============================
New releases *may* have signed tags, but binary and source distributions
uploaded to PyPI will no longer have GPG signatures attached.
Contact
=======
Our mailing list is available at `dateutil@python.org <https://mail.python.org/mailman/listinfo/dateutil>`_. As it is hosted by the PSF, it is subject to the `PSF code of
conduct <https://www.python.org/psf/conduct/>`_.
License
=======
All contributions after December 1, 2017 released under dual license - either `Apache 2.0 License <https://www.apache.org/licenses/LICENSE-2.0>`_ or the `BSD 3-Clause License <https://opensource.org/licenses/BSD-3-Clause>`_. Contributions before December 1, 2017 - except those those explicitly relicensed - are released only under the BSD 3-Clause License.
.. _6B49 ACBA DCF6 BD1C A206 67AB CD54 FCE3 D964 BEFB:
https://pgp.mit.edu/pks/lookup?op=vindex&search=0xCD54FCE3D964BEFB

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Metadata-Version: 2.1
Name: pytz
Version: 2024.1
Summary: World timezone definitions, modern and historical
Home-page: http://pythonhosted.org/pytz
Author: Stuart Bishop
Author-email: stuart@stuartbishop.net
Maintainer: Stuart Bishop
Maintainer-email: stuart@stuartbishop.net
License: MIT
Download-URL: https://pypi.org/project/pytz/
Keywords: timezone,tzinfo,datetime,olson,time
Platform: Independent
Classifier: Development Status :: 6 - Mature
Classifier: Intended Audience :: Developers
Classifier: License :: OSI Approved :: MIT License
Classifier: Natural Language :: English
Classifier: Operating System :: OS Independent
Classifier: Programming Language :: Python
Classifier: Programming Language :: Python :: 2
Classifier: Programming Language :: Python :: 2.4
Classifier: Programming Language :: Python :: 2.5
Classifier: Programming Language :: Python :: 2.6
Classifier: Programming Language :: Python :: 2.7
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.1
Classifier: Programming Language :: Python :: 3.2
Classifier: Programming Language :: Python :: 3.3
Classifier: Programming Language :: Python :: 3.4
Classifier: Programming Language :: Python :: 3.5
Classifier: Programming Language :: Python :: 3.6
Classifier: Programming Language :: Python :: 3.7
Classifier: Programming Language :: Python :: 3.8
Classifier: Programming Language :: Python :: 3.9
Classifier: Programming Language :: Python :: 3.10
Classifier: Programming Language :: Python :: 3.11
Classifier: Programming Language :: Python :: 3.12
Classifier: Topic :: Software Development :: Libraries :: Python Modules
License-File: LICENSE.txt
pytz - World Timezone Definitions for Python
============================================
:Author: Stuart Bishop <stuart@stuartbishop.net>
Introduction
~~~~~~~~~~~~
pytz brings the Olson tz database into Python. This library allows
accurate and cross platform timezone calculations using Python 2.4
or higher. It also solves the issue of ambiguous times at the end
of daylight saving time, which you can read more about in the Python
Library Reference (``datetime.tzinfo``).
Almost all of the Olson timezones are supported.
.. note::
Projects using Python 3.9 or later should be using the support
now included as part of the standard library, and third party
packages work with it such as `tzdata <https://pypi.org/project/tzdata/>`_.
pytz offers no advantages beyond backwards compatibility with
code written for earlier versions of Python.
.. note::
This library differs from the documented Python API for
tzinfo implementations; if you want to create local wallclock
times you need to use the ``localize()`` method documented in this
document. In addition, if you perform date arithmetic on local
times that cross DST boundaries, the result may be in an incorrect
timezone (ie. subtract 1 minute from 2002-10-27 1:00 EST and you get
2002-10-27 0:59 EST instead of the correct 2002-10-27 1:59 EDT). A
``normalize()`` method is provided to correct this. Unfortunately these
issues cannot be resolved without modifying the Python datetime
implementation (see PEP-431).
Installation
~~~~~~~~~~~~
This package can either be installed using ``pip`` or from a tarball using the
standard Python distutils.
If you are installing using ``pip``, you don't need to download anything as the
latest version will be downloaded for you from PyPI::
pip install pytz
If you are installing from a tarball, run the following command as an
administrative user::
python setup.py install
pytz for Enterprise
~~~~~~~~~~~~~~~~~~~
Available as part of the Tidelift Subscription.
The maintainers of pytz and thousands of other packages are working with Tidelift to deliver commercial support and maintenance for the open source dependencies you use to build your applications. Save time, reduce risk, and improve code health, while paying the maintainers of the exact dependencies you use. `Learn more. <https://tidelift.com/subscription/pkg/pypi-pytz?utm_source=pypi-pytz&utm_medium=referral&utm_campaign=enterprise&utm_term=repo>`_.
Example & Usage
~~~~~~~~~~~~~~~
Localized times and date arithmetic
-----------------------------------
>>> from datetime import datetime, timedelta
>>> from pytz import timezone
>>> import pytz
>>> utc = pytz.utc
>>> utc.zone
'UTC'
>>> eastern = timezone('US/Eastern')
>>> eastern.zone
'US/Eastern'
>>> amsterdam = timezone('Europe/Amsterdam')
>>> fmt = '%Y-%m-%d %H:%M:%S %Z%z'
This library only supports two ways of building a localized time. The
first is to use the ``localize()`` method provided by the pytz library.
This is used to localize a naive datetime (datetime with no timezone
information):
>>> loc_dt = eastern.localize(datetime(2002, 10, 27, 6, 0, 0))
>>> print(loc_dt.strftime(fmt))
2002-10-27 06:00:00 EST-0500
The second way of building a localized time is by converting an existing
localized time using the standard ``astimezone()`` method:
>>> ams_dt = loc_dt.astimezone(amsterdam)
>>> ams_dt.strftime(fmt)
'2002-10-27 12:00:00 CET+0100'
Unfortunately using the tzinfo argument of the standard datetime
constructors ''does not work'' with pytz for many timezones.
>>> datetime(2002, 10, 27, 12, 0, 0, tzinfo=amsterdam).strftime(fmt) # /!\ Does not work this way!
'2002-10-27 12:00:00 LMT+0018'
It is safe for timezones without daylight saving transitions though, such
as UTC:
>>> datetime(2002, 10, 27, 12, 0, 0, tzinfo=pytz.utc).strftime(fmt) # /!\ Not recommended except for UTC
'2002-10-27 12:00:00 UTC+0000'
The preferred way of dealing with times is to always work in UTC,
converting to localtime only when generating output to be read
by humans.
>>> utc_dt = datetime(2002, 10, 27, 6, 0, 0, tzinfo=utc)
>>> loc_dt = utc_dt.astimezone(eastern)
>>> loc_dt.strftime(fmt)
'2002-10-27 01:00:00 EST-0500'
This library also allows you to do date arithmetic using local
times, although it is more complicated than working in UTC as you
need to use the ``normalize()`` method to handle daylight saving time
and other timezone transitions. In this example, ``loc_dt`` is set
to the instant when daylight saving time ends in the US/Eastern
timezone.
>>> before = loc_dt - timedelta(minutes=10)
>>> before.strftime(fmt)
'2002-10-27 00:50:00 EST-0500'
>>> eastern.normalize(before).strftime(fmt)
'2002-10-27 01:50:00 EDT-0400'
>>> after = eastern.normalize(before + timedelta(minutes=20))
>>> after.strftime(fmt)
'2002-10-27 01:10:00 EST-0500'
Creating local times is also tricky, and the reason why working with
local times is not recommended. Unfortunately, you cannot just pass
a ``tzinfo`` argument when constructing a datetime (see the next
section for more details)
>>> dt = datetime(2002, 10, 27, 1, 30, 0)
>>> dt1 = eastern.localize(dt, is_dst=True)
>>> dt1.strftime(fmt)
'2002-10-27 01:30:00 EDT-0400'
>>> dt2 = eastern.localize(dt, is_dst=False)
>>> dt2.strftime(fmt)
'2002-10-27 01:30:00 EST-0500'
Converting between timezones is more easily done, using the
standard astimezone method.
>>> utc_dt = datetime.fromtimestamp(1143408899, tz=utc)
>>> utc_dt.strftime(fmt)
'2006-03-26 21:34:59 UTC+0000'
>>> au_tz = timezone('Australia/Sydney')
>>> au_dt = utc_dt.astimezone(au_tz)
>>> au_dt.strftime(fmt)
'2006-03-27 08:34:59 AEDT+1100'
>>> utc_dt2 = au_dt.astimezone(utc)
>>> utc_dt2.strftime(fmt)
'2006-03-26 21:34:59 UTC+0000'
>>> utc_dt == utc_dt2
True
You can take shortcuts when dealing with the UTC side of timezone
conversions. ``normalize()`` and ``localize()`` are not really
necessary when there are no daylight saving time transitions to
deal with.
>>> utc_dt = datetime.fromtimestamp(1143408899, tz=utc)
>>> utc_dt.strftime(fmt)
'2006-03-26 21:34:59 UTC+0000'
>>> au_tz = timezone('Australia/Sydney')
>>> au_dt = au_tz.normalize(utc_dt.astimezone(au_tz))
>>> au_dt.strftime(fmt)
'2006-03-27 08:34:59 AEDT+1100'
>>> utc_dt2 = au_dt.astimezone(utc)
>>> utc_dt2.strftime(fmt)
'2006-03-26 21:34:59 UTC+0000'
``tzinfo`` API
--------------
The ``tzinfo`` instances returned by the ``timezone()`` function have
been extended to cope with ambiguous times by adding an ``is_dst``
parameter to the ``utcoffset()``, ``dst()`` && ``tzname()`` methods.
>>> tz = timezone('America/St_Johns')
>>> normal = datetime(2009, 9, 1)
>>> ambiguous = datetime(2009, 10, 31, 23, 30)
The ``is_dst`` parameter is ignored for most timestamps. It is only used
during DST transition ambiguous periods to resolve that ambiguity.
>>> print(tz.utcoffset(normal, is_dst=True))
-1 day, 21:30:00
>>> print(tz.dst(normal, is_dst=True))
1:00:00
>>> tz.tzname(normal, is_dst=True)
'NDT'
>>> print(tz.utcoffset(ambiguous, is_dst=True))
-1 day, 21:30:00
>>> print(tz.dst(ambiguous, is_dst=True))
1:00:00
>>> tz.tzname(ambiguous, is_dst=True)
'NDT'
>>> print(tz.utcoffset(normal, is_dst=False))
-1 day, 21:30:00
>>> tz.dst(normal, is_dst=False).seconds
3600
>>> tz.tzname(normal, is_dst=False)
'NDT'
>>> print(tz.utcoffset(ambiguous, is_dst=False))
-1 day, 20:30:00
>>> tz.dst(ambiguous, is_dst=False)
datetime.timedelta(0)
>>> tz.tzname(ambiguous, is_dst=False)
'NST'
If ``is_dst`` is not specified, ambiguous timestamps will raise
an ``pytz.exceptions.AmbiguousTimeError`` exception.
>>> print(tz.utcoffset(normal))
-1 day, 21:30:00
>>> print(tz.dst(normal))
1:00:00
>>> tz.tzname(normal)
'NDT'
>>> import pytz.exceptions
>>> try:
... tz.utcoffset(ambiguous)
... except pytz.exceptions.AmbiguousTimeError:
... print('pytz.exceptions.AmbiguousTimeError: %s' % ambiguous)
pytz.exceptions.AmbiguousTimeError: 2009-10-31 23:30:00
>>> try:
... tz.dst(ambiguous)
... except pytz.exceptions.AmbiguousTimeError:
... print('pytz.exceptions.AmbiguousTimeError: %s' % ambiguous)
pytz.exceptions.AmbiguousTimeError: 2009-10-31 23:30:00
>>> try:
... tz.tzname(ambiguous)
... except pytz.exceptions.AmbiguousTimeError:
... print('pytz.exceptions.AmbiguousTimeError: %s' % ambiguous)
pytz.exceptions.AmbiguousTimeError: 2009-10-31 23:30:00
Problems with Localtime
~~~~~~~~~~~~~~~~~~~~~~~
The major problem we have to deal with is that certain datetimes
may occur twice in a year. For example, in the US/Eastern timezone
on the last Sunday morning in October, the following sequence
happens:
- 01:00 EDT occurs
- 1 hour later, instead of 2:00am the clock is turned back 1 hour
and 01:00 happens again (this time 01:00 EST)
In fact, every instant between 01:00 and 02:00 occurs twice. This means
that if you try and create a time in the 'US/Eastern' timezone
the standard datetime syntax, there is no way to specify if you meant
before of after the end-of-daylight-saving-time transition. Using the
pytz custom syntax, the best you can do is make an educated guess:
>>> loc_dt = eastern.localize(datetime(2002, 10, 27, 1, 30, 00))
>>> loc_dt.strftime(fmt)
'2002-10-27 01:30:00 EST-0500'
As you can see, the system has chosen one for you and there is a 50%
chance of it being out by one hour. For some applications, this does
not matter. However, if you are trying to schedule meetings with people
in different timezones or analyze log files it is not acceptable.
The best and simplest solution is to stick with using UTC. The pytz
package encourages using UTC for internal timezone representation by
including a special UTC implementation based on the standard Python
reference implementation in the Python documentation.
The UTC timezone unpickles to be the same instance, and pickles to a
smaller size than other pytz tzinfo instances. The UTC implementation
can be obtained as pytz.utc, pytz.UTC, or pytz.timezone('UTC').
>>> import pickle, pytz
>>> dt = datetime(2005, 3, 1, 14, 13, 21, tzinfo=utc)
>>> naive = dt.replace(tzinfo=None)
>>> p = pickle.dumps(dt, 1)
>>> naive_p = pickle.dumps(naive, 1)
>>> len(p) - len(naive_p)
17
>>> new = pickle.loads(p)
>>> new == dt
True
>>> new is dt
False
>>> new.tzinfo is dt.tzinfo
True
>>> pytz.utc is pytz.UTC is pytz.timezone('UTC')
True
Note that some other timezones are commonly thought of as the same (GMT,
Greenwich, Universal, etc.). The definition of UTC is distinct from these
other timezones, and they are not equivalent. For this reason, they will
not compare the same in Python.
>>> utc == pytz.timezone('GMT')
False
See the section `What is UTC`_, below.
If you insist on working with local times, this library provides a
facility for constructing them unambiguously:
>>> loc_dt = datetime(2002, 10, 27, 1, 30, 00)
>>> est_dt = eastern.localize(loc_dt, is_dst=True)
>>> edt_dt = eastern.localize(loc_dt, is_dst=False)
>>> print(est_dt.strftime(fmt) + ' / ' + edt_dt.strftime(fmt))
2002-10-27 01:30:00 EDT-0400 / 2002-10-27 01:30:00 EST-0500
If you pass None as the is_dst flag to localize(), pytz will refuse to
guess and raise exceptions if you try to build ambiguous or non-existent
times.
For example, 1:30am on 27th Oct 2002 happened twice in the US/Eastern
timezone when the clocks where put back at the end of Daylight Saving
Time:
>>> dt = datetime(2002, 10, 27, 1, 30, 00)
>>> try:
... eastern.localize(dt, is_dst=None)
... except pytz.exceptions.AmbiguousTimeError:
... print('pytz.exceptions.AmbiguousTimeError: %s' % dt)
pytz.exceptions.AmbiguousTimeError: 2002-10-27 01:30:00
Similarly, 2:30am on 7th April 2002 never happened at all in the
US/Eastern timezone, as the clocks where put forward at 2:00am skipping
the entire hour:
>>> dt = datetime(2002, 4, 7, 2, 30, 00)
>>> try:
... eastern.localize(dt, is_dst=None)
... except pytz.exceptions.NonExistentTimeError:
... print('pytz.exceptions.NonExistentTimeError: %s' % dt)
pytz.exceptions.NonExistentTimeError: 2002-04-07 02:30:00
Both of these exceptions share a common base class to make error handling
easier:
>>> isinstance(pytz.AmbiguousTimeError(), pytz.InvalidTimeError)
True
>>> isinstance(pytz.NonExistentTimeError(), pytz.InvalidTimeError)
True
A special case is where countries change their timezone definitions
with no daylight savings time switch. For example, in 1915 Warsaw
switched from Warsaw time to Central European time with no daylight savings
transition. So at the stroke of midnight on August 5th 1915 the clocks
were wound back 24 minutes creating an ambiguous time period that cannot
be specified without referring to the timezone abbreviation or the
actual UTC offset. In this case midnight happened twice, neither time
during a daylight saving time period. pytz handles this transition by
treating the ambiguous period before the switch as daylight savings
time, and the ambiguous period after as standard time.
>>> warsaw = pytz.timezone('Europe/Warsaw')
>>> amb_dt1 = warsaw.localize(datetime(1915, 8, 4, 23, 59, 59), is_dst=True)
>>> amb_dt1.strftime(fmt)
'1915-08-04 23:59:59 WMT+0124'
>>> amb_dt2 = warsaw.localize(datetime(1915, 8, 4, 23, 59, 59), is_dst=False)
>>> amb_dt2.strftime(fmt)
'1915-08-04 23:59:59 CET+0100'
>>> switch_dt = warsaw.localize(datetime(1915, 8, 5, 00, 00, 00), is_dst=False)
>>> switch_dt.strftime(fmt)
'1915-08-05 00:00:00 CET+0100'
>>> str(switch_dt - amb_dt1)
'0:24:01'
>>> str(switch_dt - amb_dt2)
'0:00:01'
The best way of creating a time during an ambiguous time period is
by converting from another timezone such as UTC:
>>> utc_dt = datetime(1915, 8, 4, 22, 36, tzinfo=pytz.utc)
>>> utc_dt.astimezone(warsaw).strftime(fmt)
'1915-08-04 23:36:00 CET+0100'
The standard Python way of handling all these ambiguities is not to
handle them, such as demonstrated in this example using the US/Eastern
timezone definition from the Python documentation (Note that this
implementation only works for dates between 1987 and 2006 - it is
included for tests only!):
>>> from pytz.reference import Eastern # pytz.reference only for tests
>>> dt = datetime(2002, 10, 27, 0, 30, tzinfo=Eastern)
>>> str(dt)
'2002-10-27 00:30:00-04:00'
>>> str(dt + timedelta(hours=1))
'2002-10-27 01:30:00-05:00'
>>> str(dt + timedelta(hours=2))
'2002-10-27 02:30:00-05:00'
>>> str(dt + timedelta(hours=3))
'2002-10-27 03:30:00-05:00'
Notice the first two results? At first glance you might think they are
correct, but taking the UTC offset into account you find that they are
actually two hours appart instead of the 1 hour we asked for.
>>> from pytz.reference import UTC # pytz.reference only for tests
>>> str(dt.astimezone(UTC))
'2002-10-27 04:30:00+00:00'
>>> str((dt + timedelta(hours=1)).astimezone(UTC))
'2002-10-27 06:30:00+00:00'
Country Information
~~~~~~~~~~~~~~~~~~~
A mechanism is provided to access the timezones commonly in use
for a particular country, looked up using the ISO 3166 country code.
It returns a list of strings that can be used to retrieve the relevant
tzinfo instance using ``pytz.timezone()``:
>>> print(' '.join(pytz.country_timezones['nz']))
Pacific/Auckland Pacific/Chatham
The Olson database comes with a ISO 3166 country code to English country
name mapping that pytz exposes as a dictionary:
>>> print(pytz.country_names['nz'])
New Zealand
What is UTC
~~~~~~~~~~~
'UTC' is `Coordinated Universal Time`_. It is a successor to, but distinct
from, Greenwich Mean Time (GMT) and the various definitions of Universal
Time. UTC is now the worldwide standard for regulating clocks and time
measurement.
All other timezones are defined relative to UTC, and include offsets like
UTC+0800 - hours to add or subtract from UTC to derive the local time. No
daylight saving time occurs in UTC, making it a useful timezone to perform
date arithmetic without worrying about the confusion and ambiguities caused
by daylight saving time transitions, your country changing its timezone, or
mobile computers that roam through multiple timezones.
.. _Coordinated Universal Time: https://en.wikipedia.org/wiki/Coordinated_Universal_Time
Helpers
~~~~~~~
There are two lists of timezones provided.
``all_timezones`` is the exhaustive list of the timezone names that can
be used.
>>> from pytz import all_timezones
>>> len(all_timezones) >= 500
True
>>> 'Etc/Greenwich' in all_timezones
True
``common_timezones`` is a list of useful, current timezones. It doesn't
contain deprecated zones or historical zones, except for a few I've
deemed in common usage, such as US/Eastern (open a bug report if you
think other timezones are deserving of being included here). It is also
a sequence of strings.
>>> from pytz import common_timezones
>>> len(common_timezones) < len(all_timezones)
True
>>> 'Etc/Greenwich' in common_timezones
False
>>> 'Australia/Melbourne' in common_timezones
True
>>> 'US/Eastern' in common_timezones
True
>>> 'Canada/Eastern' in common_timezones
True
>>> 'Australia/Yancowinna' in all_timezones
True
>>> 'Australia/Yancowinna' in common_timezones
False
Both ``common_timezones`` and ``all_timezones`` are alphabetically
sorted:
>>> common_timezones_dupe = common_timezones[:]
>>> common_timezones_dupe.sort()
>>> common_timezones == common_timezones_dupe
True
>>> all_timezones_dupe = all_timezones[:]
>>> all_timezones_dupe.sort()
>>> all_timezones == all_timezones_dupe
True
``all_timezones`` and ``common_timezones`` are also available as sets.
>>> from pytz import all_timezones_set, common_timezones_set
>>> 'US/Eastern' in all_timezones_set
True
>>> 'US/Eastern' in common_timezones_set
True
>>> 'Australia/Victoria' in common_timezones_set
False
You can also retrieve lists of timezones used by particular countries
using the ``country_timezones()`` function. It requires an ISO-3166
two letter country code.
>>> from pytz import country_timezones
>>> print(' '.join(country_timezones('ch')))
Europe/Zurich
>>> print(' '.join(country_timezones('CH')))
Europe/Zurich
Internationalization - i18n/l10n
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
Pytz is an interface to the IANA database, which uses ASCII names. The `Unicode Consortium's Unicode Locales (CLDR) <http://cldr.unicode.org>`_
project provides translations. Python packages such as
`Babel <https://babel.pocoo.org/en/latest/api/dates.html#timezone-functionality>`_
and Thomas Khyn's `l18n <https://pypi.org/project/l18n/>`_ package can be used
to access these translations from Python.
License
~~~~~~~
MIT license.
This code is also available as part of Zope 3 under the Zope Public
License, Version 2.1 (ZPL).
I'm happy to relicense this code if necessary for inclusion in other
open source projects.
Latest Versions
~~~~~~~~~~~~~~~
This package will be updated after releases of the Olson timezone
database. The latest version can be downloaded from the `Python Package
Index <https://pypi.org/project/pytz/>`_. The code that is used
to generate this distribution is hosted on Github and available
using git::
git clone https://github.com/stub42/pytz.git
Announcements of new releases are made on
`Launchpad <https://launchpad.net/pytz>`_, and the
`Atom feed <http://feeds.launchpad.net/pytz/announcements.atom>`_
hosted there.
Bugs, Feature Requests & Patches
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
Bugs should be reported on `Github <https://github.com/stub42/pytz/issues>`_.
Feature requests are unlikely to be considered, and efforts instead directed
to timezone support now built into Python or packages that work with it.
Security Issues
~~~~~~~~~~~~~~~
Reports about security issues can be made via `Tidelift <https://tidelift.com/security>`_.
Issues & Limitations
~~~~~~~~~~~~~~~~~~~~
- This project is in maintenance mode. Projects using Python 3.9 or later
are best served by using the timezone functionaly now included in core
Python and packages that work with it such as `tzdata <https://pypi.org/project/tzdata/>`_.
- Offsets from UTC are rounded to the nearest whole minute, so timezones
such as Europe/Amsterdam pre 1937 will be up to 30 seconds out. This
was a limitation of the Python datetime library.
- If you think a timezone definition is incorrect, I probably can't fix
it. pytz is a direct translation of the Olson timezone database, and
changes to the timezone definitions need to be made to this source.
If you find errors they should be reported to the time zone mailing
list, linked from http://www.iana.org/time-zones.
Further Reading
~~~~~~~~~~~~~~~
More info than you want to know about timezones:
https://data.iana.org/time-zones/tz-link.html
Contact
~~~~~~~
Stuart Bishop <stuart@stuartbishop.net>

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static/pyodide/six-1.16.0-py2.py3-none-any.whl.metadata Normal file
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Metadata-Version: 2.1
Name: six
Version: 1.16.0
Summary: Python 2 and 3 compatibility utilities
Home-page: https://github.com/benjaminp/six
Author: Benjamin Peterson
Author-email: benjamin@python.org
License: MIT
Platform: UNKNOWN
Classifier: Development Status :: 5 - Production/Stable
Classifier: Programming Language :: Python :: 2
Classifier: Programming Language :: Python :: 3
Classifier: Intended Audience :: Developers
Classifier: License :: OSI Approved :: MIT License
Classifier: Topic :: Software Development :: Libraries
Classifier: Topic :: Utilities
Requires-Python: >=2.7, !=3.0.*, !=3.1.*, !=3.2.*
.. image:: https://img.shields.io/pypi/v/six.svg
:target: https://pypi.org/project/six/
:alt: six on PyPI
.. image:: https://travis-ci.org/benjaminp/six.svg?branch=master
:target: https://travis-ci.org/benjaminp/six
:alt: six on TravisCI
.. image:: https://readthedocs.org/projects/six/badge/?version=latest
:target: https://six.readthedocs.io/
:alt: six's documentation on Read the Docs
.. image:: https://img.shields.io/badge/license-MIT-green.svg
:target: https://github.com/benjaminp/six/blob/master/LICENSE
:alt: MIT License badge
Six is a Python 2 and 3 compatibility library. It provides utility functions
for smoothing over the differences between the Python versions with the goal of
writing Python code that is compatible on both Python versions. See the
documentation for more information on what is provided.
Six supports Python 2.7 and 3.3+. It is contained in only one Python
file, so it can be easily copied into your project. (The copyright and license
notice must be retained.)
Online documentation is at https://six.readthedocs.io/.
Bugs can be reported to https://github.com/benjaminp/six. The code can also
be found there.

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import { sveltekit } from '@sveltejs/kit/vite';
import { defineConfig } from 'vite';
/** @type {import('vite').Plugin} */
const viteServerConfig = {
name: 'log-request-middleware',
configureServer(server) {
server.middlewares.use((req, res, next) => {
res.setHeader('Access-Control-Allow-Origin', '*');
res.setHeader('Access-Control-Allow-Methods', 'GET');
res.setHeader('Cross-Origin-Opener-Policy', 'same-origin');
res.setHeader('Cross-Origin-Embedder-Policy', 'require-corp');
next();
});
}
};
// /** @type {import('vite').Plugin} */
// const viteServerConfig = {
// name: 'log-request-middleware',
// configureServer(server) {
// server.middlewares.use((req, res, next) => {
// res.setHeader('Access-Control-Allow-Origin', '*');
// res.setHeader('Access-Control-Allow-Methods', 'GET');
// res.setHeader('Cross-Origin-Opener-Policy', 'same-origin');
// res.setHeader('Cross-Origin-Embedder-Policy', 'require-corp');
// next();
// });
// }
// };
export default defineConfig({
plugins: [sveltekit(), viteServerConfig],
plugins: [sveltekit()],
define: {
APP_VERSION: JSON.stringify(process.env.npm_package_version)
}