feat: numpy, pandas support

package-lock.json

@@ -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",

package.json

@@ -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",

src/lib/components/chat/MessageInput.svelte

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

src/lib/components/chat/Messages.svelte

@@ -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;

src/lib/components/chat/Messages/CodeBlock.svelte

@@ -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);

src/routes/(app)/c/[id]/+page.svelte

@@ -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}

static/pyodide/numpy-1.26.4-cp312-cp312-emscripten_3_1_52_wasm32.whl.metadata

+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.

static/pyodide/packaging-23.2-py3-none-any.whl.metadata

+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/
+

static/pyodide/pandas-2.2.0-cp312-cp312-emscripten_3_1_52_wasm32.whl.metadata

+Metadata-Version: 2.1
+Name: pandas
+Version: 2.2.0
+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,
+        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: Environment :: Console
+Classifier: Intended Audience :: Science/Research
+Classifier: License :: OSI Approved :: BSD License
+Classifier: Operating System :: OS Independent
+Classifier: Programming Language :: Cython
+Classifier: Programming Language :: Python
+Classifier: Programming Language :: Python :: 3
+Classifier: Programming Language :: Python :: 3 :: Only
+Classifier: Programming Language :: Python :: 3.9
+Classifier: Programming Language :: Python :: 3.10
+Classifier: Programming Language :: Python :: 3.11
+Classifier: Programming Language :: Python :: 3.12
+Classifier: Topic :: Scientific/Engineering
+Project-URL: Homepage, https://pandas.pydata.org
+Project-URL: Documentation, https://pandas.pydata.org/docs/
+Project-URL: Repository, https://github.com/pandas-dev/pandas
+Requires-Python: >=3.9
+Requires-Dist: numpy<2,>=1.22.4; python_version < "3.11"
+Requires-Dist: numpy<2,>=1.23.2; python_version == "3.11"
+Requires-Dist: numpy<2,>=1.26.0; python_version >= "3.12"
+Requires-Dist: python-dateutil>=2.8.2
+Requires-Dist: pytz>=2020.1
+Requires-Dist: tzdata>=2022.7
+Requires-Dist: hypothesis>=6.46.1; extra == "test"
+Requires-Dist: pytest>=7.3.2; extra == "test"
+Requires-Dist: pytest-xdist>=2.2.0; extra == "test"
+Requires-Dist: bottleneck>=1.3.6; extra == "performance"
+Requires-Dist: numba>=0.56.4; extra == "performance"
+Requires-Dist: numexpr>=2.8.4; extra == "performance"
+Requires-Dist: scipy>=1.10.0; extra == "computation"
+Requires-Dist: xarray>=2022.12.0; extra == "computation"
+Requires-Dist: fsspec>=2022.11.0; extra == "fss"
+Requires-Dist: s3fs>=2022.11.0; extra == "aws"
+Requires-Dist: gcsfs>=2022.11.0; extra == "gcp"
+Requires-Dist: pandas-gbq>=0.19.0; extra == "gcp"
+Requires-Dist: odfpy>=1.4.1; extra == "excel"
+Requires-Dist: openpyxl>=3.1.0; extra == "excel"
+Requires-Dist: python-calamine>=0.1.7; extra == "excel"
+Requires-Dist: pyxlsb>=1.0.10; extra == "excel"
+Requires-Dist: xlrd>=2.0.1; extra == "excel"
+Requires-Dist: xlsxwriter>=3.0.5; extra == "excel"
+Requires-Dist: pyarrow>=10.0.1; extra == "parquet"
+Requires-Dist: pyarrow>=10.0.1; extra == "feather"
+Requires-Dist: tables>=3.8.0; extra == "hdf5"
+Requires-Dist: pyreadstat>=1.2.0; extra == "spss"
+Requires-Dist: SQLAlchemy>=2.0.0; extra == "postgresql"
+Requires-Dist: psycopg2>=2.9.6; extra == "postgresql"
+Requires-Dist: adbc-driver-postgresql>=0.8.0; extra == "postgresql"
+Requires-Dist: SQLAlchemy>=2.0.0; extra == "mysql"
+Requires-Dist: pymysql>=1.0.2; extra == "mysql"
+Requires-Dist: SQLAlchemy>=2.0.0; extra == "sql-other"
+Requires-Dist: adbc-driver-postgresql>=0.8.0; extra == "sql-other"
+Requires-Dist: adbc-driver-sqlite>=0.8.0; extra == "sql-other"
+Requires-Dist: beautifulsoup4>=4.11.2; extra == "html"
+Requires-Dist: html5lib>=1.1; extra == "html"
+Requires-Dist: lxml>=4.9.2; extra == "html"
+Requires-Dist: lxml>=4.9.2; extra == "xml"
+Requires-Dist: matplotlib>=3.6.3; extra == "plot"
+Requires-Dist: jinja2>=3.1.2; extra == "output-formatting"
+Requires-Dist: tabulate>=0.9.0; extra == "output-formatting"
+Requires-Dist: PyQt5>=5.15.9; extra == "clipboard"
+Requires-Dist: qtpy>=2.3.0; extra == "clipboard"
+Requires-Dist: zstandard>=0.19.0; extra == "compression"
+Requires-Dist: dataframe-api-compat>=0.1.7; extra == "consortium-standard"
+Requires-Dist: adbc-driver-postgresql>=0.8.0; extra == "all"
+Requires-Dist: adbc-driver-sqlite>=0.8.0; extra == "all"
+Requires-Dist: beautifulsoup4>=4.11.2; extra == "all"
+Requires-Dist: bottleneck>=1.3.6; extra == "all"
+Requires-Dist: dataframe-api-compat>=0.1.7; extra == "all"
+Requires-Dist: fastparquet>=2022.12.0; extra == "all"
+Requires-Dist: fsspec>=2022.11.0; extra == "all"
+Requires-Dist: gcsfs>=2022.11.0; extra == "all"
+Requires-Dist: html5lib>=1.1; extra == "all"
+Requires-Dist: hypothesis>=6.46.1; extra == "all"
+Requires-Dist: jinja2>=3.1.2; extra == "all"
+Requires-Dist: lxml>=4.9.2; extra == "all"
+Requires-Dist: matplotlib>=3.6.3; extra == "all"
+Requires-Dist: numba>=0.56.4; extra == "all"
+Requires-Dist: numexpr>=2.8.4; extra == "all"
+Requires-Dist: odfpy>=1.4.1; extra == "all"
+Requires-Dist: openpyxl>=3.1.0; extra == "all"
+Requires-Dist: pandas-gbq>=0.19.0; extra == "all"
+Requires-Dist: psycopg2>=2.9.6; extra == "all"
+Requires-Dist: pyarrow>=10.0.1; extra == "all"
+Requires-Dist: pymysql>=1.0.2; extra == "all"
+Requires-Dist: PyQt5>=5.15.9; extra == "all"
+Requires-Dist: pyreadstat>=1.2.0; extra == "all"
+Requires-Dist: pytest>=7.3.2; extra == "all"
+Requires-Dist: pytest-xdist>=2.2.0; extra == "all"
+Requires-Dist: python-calamine>=0.1.7; extra == "all"
+Requires-Dist: pyxlsb>=1.0.10; extra == "all"
+Requires-Dist: qtpy>=2.3.0; extra == "all"
+Requires-Dist: scipy>=1.10.0; extra == "all"
+Requires-Dist: s3fs>=2022.11.0; extra == "all"
+Requires-Dist: SQLAlchemy>=2.0.0; extra == "all"
+Requires-Dist: tables>=3.8.0; extra == "all"
+Requires-Dist: tabulate>=0.9.0; extra == "all"
+Requires-Dist: xarray>=2022.12.0; extra == "all"
+Requires-Dist: xlrd>=2.0.1; extra == "all"
+Requires-Dist: xlsxwriter>=3.0.5; extra == "all"
+Requires-Dist: zstandard>=0.19.0; extra == "all"
+Provides-Extra: test
+Provides-Extra: performance
+Provides-Extra: computation
+Provides-Extra: fss
+Provides-Extra: aws
+Provides-Extra: gcp
+Provides-Extra: excel
+Provides-Extra: parquet
+Provides-Extra: feather
+Provides-Extra: hdf5
+Provides-Extra: spss
+Provides-Extra: postgresql
+Provides-Extra: mysql
+Provides-Extra: sql-other
+Provides-Extra: html
+Provides-Extra: xml
+Provides-Extra: plot
+Provides-Extra: output-formatting
+Provides-Extra: clipboard
+Provides-Extra: compression
+Provides-Extra: consortium-standard
+Provides-Extra: all
+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)

static/pyodide/python_dateutil-2.8.2-py2.py3-none-any.whl.metadata

+Metadata-Version: 2.1
+Name: python-dateutil
+Version: 2.8.2
+Summary: Extensions to the standard Python datetime module
+Home-page: https://github.com/dateutil/dateutil
+Author: Gustavo Niemeyer
+Author-email: gustavo@niemeyer.net
+Maintainer: Paul Ganssle
+Maintainer-email: dateutil@python.org
+License: Dual License
+Project-URL: Documentation, https://dateutil.readthedocs.io/en/stable/
+Project-URL: Source, https://github.com/dateutil/dateutil
+Platform: UNKNOWN
+Classifier: Development Status :: 5 - Production/Stable
+Classifier: Intended Audience :: Developers
+Classifier: License :: OSI Approved :: BSD License
+Classifier: License :: OSI Approved :: Apache Software License
+Classifier: Programming Language :: Python
+Classifier: Programming Language :: Python :: 2
+Classifier: Programming Language :: Python :: 2.7
+Classifier: Programming Language :: Python :: 3
+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: Topic :: Software Development :: Libraries
+Requires-Python: !=3.0.*,!=3.1.*,!=3.2.*,>=2.7
+Description-Content-Type: text/x-rst
+License-File: LICENSE
+Requires-Dist: six (>=1.5)
+
+dateutil - powerful extensions to datetime
+==========================================
+
+|pypi| |support| |licence|
+
+|gitter| |readthedocs|
+
+|travis| |appveyor| |pipelines| |coverage|
+
+.. |pypi| image:: https://img.shields.io/pypi/v/python-dateutil.svg?style=flat-square
+    :target: https://pypi.org/project/python-dateutil/
+    :alt: pypi version
+
+.. |support| image:: https://img.shields.io/pypi/pyversions/python-dateutil.svg?style=flat-square
+    :target: https://pypi.org/project/python-dateutil/
+    :alt: supported Python version
+
+.. |travis| image:: https://img.shields.io/travis/dateutil/dateutil/master.svg?style=flat-square&label=Travis%20Build
+    :target: https://travis-ci.org/dateutil/dateutil
+    :alt: travis build status
+
+.. |appveyor| image:: https://img.shields.io/appveyor/ci/dateutil/dateutil/master.svg?style=flat-square&logo=appveyor
+    :target: https://ci.appveyor.com/project/dateutil/dateutil
+    :alt: appveyor build status
+
+.. |pipelines| image:: https://dev.azure.com/pythondateutilazure/dateutil/_apis/build/status/dateutil.dateutil?branchName=master
+    :target: https://dev.azure.com/pythondateutilazure/dateutil/_build/latest?definitionId=1&branchName=master
+    :alt: azure pipelines build status
+
+.. |coverage| image:: https://codecov.io/gh/dateutil/dateutil/branch/master/graphs/badge.svg?branch=master
+    :target: https://codecov.io/gh/dateutil/dateutil?branch=master
+    :alt: Code coverage
+
+.. |gitter| image:: https://badges.gitter.im/dateutil/dateutil.svg
+   :alt: Join the chat at https://gitter.im/dateutil/dateutil
+   :target: https://gitter.im/dateutil/dateutil
+
+.. |licence| image:: https://img.shields.io/pypi/l/python-dateutil.svg?style=flat-square
+    :target: https://pypi.org/project/python-dateutil/
+    :alt: licence
+
+.. |readthedocs| image:: https://img.shields.io/readthedocs/dateutil/latest.svg?style=flat-square&label=Read%20the%20Docs
+   :alt: Read the documentation at https://dateutil.readthedocs.io/en/latest/
+   :target: https://dateutil.readthedocs.io/en/latest/
+
+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
+
+

static/pyodide/six-1.16.0-py2.py3-none-any.whl.metadata

+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.
+
+