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env-llmeval/lib/python3.10/site-packages/DataProperty-1.0.1.dist-info/INSTALLER

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+pip

env-llmeval/lib/python3.10/site-packages/DataProperty-1.0.1.dist-info/LICENSE

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+The MIT License (MIT)
+
+Copyright (c) 2016 Tsuyoshi Hombashi
+
+Permission is hereby granted, free of charge, to any person obtaining a copy
+of this software and associated documentation files (the "Software"), to deal
+in the Software without restriction, including without limitation the rights
+to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
+copies of the Software, and to permit persons to whom the Software is
+furnished to do so, subject to the following conditions:
+
+The above copyright notice and this permission notice shall be included in all
+copies or substantial portions of the Software.
+
+THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
+IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
+FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
+AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
+LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
+OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
+SOFTWARE.

env-llmeval/lib/python3.10/site-packages/DataProperty-1.0.1.dist-info/METADATA

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+Metadata-Version: 2.1
+Name: DataProperty
+Version: 1.0.1
+Summary: Python library for extract property from data.
+Home-page: https://github.com/thombashi/DataProperty
+Author: Tsuyoshi Hombashi
+Author-email: [email protected]
+Maintainer: Tsuyoshi Hombashi
+Maintainer-email: [email protected]
+License: MIT License
+Project-URL: Source, https://github.com/thombashi/DataProperty
+Project-URL: Tracker, https://github.com/thombashi/DataProperty/issues
+Keywords: data,library,property
+Classifier: Development Status :: 5 - Production/Stable
+Classifier: Intended Audience :: Developers
+Classifier: Intended Audience :: Information Technology
+Classifier: License :: OSI Approved :: MIT License
+Classifier: Operating System :: OS Independent
+Classifier: Programming Language :: Python :: 3
+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 :: Implementation :: CPython
+Classifier: Programming Language :: Python :: Implementation :: PyPy
+Classifier: Topic :: Software Development :: Libraries
+Classifier: Topic :: Software Development :: Libraries :: Python Modules
+Requires-Python: >=3.7
+Description-Content-Type: text/x-rst
+License-File: LICENSE
+Requires-Dist: mbstrdecoder (<2,>=1.0.0)
+Requires-Dist: typepy[datetime] (<2,>=1.2.0)
+Provides-Extra: logging
+Requires-Dist: loguru (<1,>=0.4.1) ; extra == 'logging'
+Provides-Extra: test
+Requires-Dist: pytest (>=6.0.1) ; extra == 'test'
+Requires-Dist: pytest-md-report (>=0.3) ; extra == 'test'
+Requires-Dist: tcolorpy (>=0.1.2) ; extra == 'test'
+
+.. contents:: **DataProperty**
+   :backlinks: top
+   :local:
+
+
+Summary
+=======
+A Python library for extract property from data.
+
+
+.. image:: https://badge.fury.io/py/DataProperty.svg
+    :target: https://badge.fury.io/py/DataProperty
+    :alt: PyPI package version
+
+.. image:: https://anaconda.org/conda-forge/DataProperty/badges/version.svg
+    :target: https://anaconda.org/conda-forge/DataProperty
+    :alt: conda-forge package version
+
+.. image:: https://img.shields.io/pypi/pyversions/DataProperty.svg
+   :target: https://pypi.org/project/DataProperty
+    :alt: Supported Python versions
+
+.. image:: https://img.shields.io/pypi/implementation/DataProperty.svg
+    :target: https://pypi.org/project/DataProperty
+    :alt: Supported Python implementations
+
+.. image:: https://github.com/thombashi/DataProperty/actions/workflows/ci.yml/badge.svg
+    :target: https://github.com/thombashi/DataProperty/actions/workflows/ci.yml
+    :alt: CI status of Linux/macOS/Windows
+
+.. image:: https://coveralls.io/repos/github/thombashi/DataProperty/badge.svg?branch=master
+    :target: https://coveralls.io/github/thombashi/DataProperty?branch=master
+    :alt: Test coverage
+
+.. image:: https://github.com/thombashi/DataProperty/actions/workflows/github-code-scanning/codeql/badge.svg
+    :target: https://github.com/thombashi/DataProperty/actions/workflows/github-code-scanning/codeql
+    :alt: CodeQL
+
+
+Installation
+============
+
+Installation: pip
+------------------------------
+::
+
+    pip install DataProperty
+
+Installation: conda
+------------------------------
+::
+
+    conda install -c conda-forge dataproperty
+
+Installation: apt
+------------------------------
+::
+
+    sudo add-apt-repository ppa:thombashi/ppa
+    sudo apt update
+    sudo apt install python3-dataproperty
+
+
+Usage
+=====
+
+Extract property of data
+------------------------
+
+e.g. Extract a ``float`` value property
+~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
+.. code:: python
+
+    >>> from dataproperty import DataProperty
+    >>> DataProperty(-1.1)
+    data=-1.1, type=REAL_NUMBER, align=right, ascii_width=4, int_digits=1, decimal_places=1, extra_len=1
+
+e.g. Extract a ``int`` value property
+~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
+.. code:: python
+
+    >>> from dataproperty import DataProperty
+    >>> DataProperty(123456789)
+    data=123456789, type=INTEGER, align=right, ascii_width=9, int_digits=9, decimal_places=0, extra_len=0
+
+e.g. Extract a ``str`` (ascii) value property
+~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
+.. code:: python
+
+    >>> from dataproperty import DataProperty
+    >>> DataProperty("sample string")
+    data=sample string, type=STRING, align=left, length=13, ascii_width=13, extra_len=0
+
+e.g. Extract a ``str`` (multi-byte) value property
+~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
+.. code:: python
+
+    >>> from dataproperty import DataProperty
+    >>> str(DataProperty("吾輩は猫である"))
+    data=吾輩は猫である, type=STRING, align=left, length=7, ascii_width=14, extra_len=0
+
+e.g. Extract a time (``datetime``) value property
+~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
+.. code:: python
+
+    >>> import datetime
+    >>> from dataproperty import DataProperty
+    >>> DataProperty(datetime.datetime(2017, 1, 1, 0, 0, 0))
+    data=2017-01-01 00:00:00, type=DATETIME, align=left, ascii_width=19, extra_len=0
+
+e.g. Extract a ``bool`` value property
+~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
+.. code:: python
+
+    >>> from dataproperty import DataProperty
+    >>> DataProperty(True)
+    data=True, type=BOOL, align=left, ascii_width=4, extra_len=0
+
+
+Extract data property for each element from a matrix
+----------------------------------------------------
+``DataPropertyExtractor.to_dp_matrix`` method returns a matrix of ``DataProperty`` instances from a data matrix.
+An example data set and the result are as follows:
+
+:Sample Code:
+    .. code:: python
+
+        import datetime
+        from dataproperty import DataPropertyExtractor
+
+        dp_extractor = DataPropertyExtractor()
+        dt = datetime.datetime(2017, 1, 1, 0, 0, 0)
+        inf = float("inf")
+        nan = float("nan")
+
+        dp_matrix = dp_extractor.to_dp_matrix([
+            [1, 1.1, "aa", 1, 1, True, inf, nan, dt],
+            [2, 2.2, "bbb", 2.2, 2.2, False, "inf", "nan", dt],
+            [3, 3.33, "cccc", -3, "ccc", "true", inf, "NAN", "2017-01-01T01:23:45+0900"],
+        ])
+
+        for row, dp_list in enumerate(dp_matrix):
+            for col, dp in enumerate(dp_list):
+                print("row={:d}, col={:d}, {}".format(row, col, str(dp)))
+
+:Output:
+    ::
+
+        row=0, col=0, data=1, type=INTEGER, align=right, ascii_width=1, int_digits=1, decimal_places=0, extra_len=0
+        row=0, col=1, data=1.1, type=REAL_NUMBER, align=right, ascii_width=3, int_digits=1, decimal_places=1, extra_len=0
+        row=0, col=2, data=aa, type=STRING, align=left, ascii_width=2, length=2, extra_len=0
+        row=0, col=3, data=1, type=INTEGER, align=right, ascii_width=1, int_digits=1, decimal_places=0, extra_len=0
+        row=0, col=4, data=1, type=INTEGER, align=right, ascii_width=1, int_digits=1, decimal_places=0, extra_len=0
+        row=0, col=5, data=True, type=BOOL, align=left, ascii_width=4, extra_len=0
+        row=0, col=6, data=Infinity, type=INFINITY, align=left, ascii_width=8, extra_len=0
+        row=0, col=7, data=NaN, type=NAN, align=left, ascii_width=3, extra_len=0
+        row=0, col=8, data=2017-01-01 00:00:00, type=DATETIME, align=left, ascii_width=19, extra_len=0
+        row=1, col=0, data=2, type=INTEGER, align=right, ascii_width=1, int_digits=1, decimal_places=0, extra_len=0
+        row=1, col=1, data=2.2, type=REAL_NUMBER, align=right, ascii_width=3, int_digits=1, decimal_places=1, extra_len=0
+        row=1, col=2, data=bbb, type=STRING, align=left, ascii_width=3, length=3, extra_len=0
+        row=1, col=3, data=2.2, type=REAL_NUMBER, align=right, ascii_width=3, int_digits=1, decimal_places=1, extra_len=0
+        row=1, col=4, data=2.2, type=REAL_NUMBER, align=right, ascii_width=3, int_digits=1, decimal_places=1, extra_len=0
+        row=1, col=5, data=False, type=BOOL, align=left, ascii_width=5, extra_len=0
+        row=1, col=6, data=Infinity, type=INFINITY, align=left, ascii_width=8, extra_len=0
+        row=1, col=7, data=NaN, type=NAN, align=left, ascii_width=3, extra_len=0
+        row=1, col=8, data=2017-01-01 00:00:00, type=DATETIME, align=left, ascii_width=19, extra_len=0
+        row=2, col=0, data=3, type=INTEGER, align=right, ascii_width=1, int_digits=1, decimal_places=0, extra_len=0
+        row=2, col=1, data=3.33, type=REAL_NUMBER, align=right, ascii_width=4, int_digits=1, decimal_places=2, extra_len=0
+        row=2, col=2, data=cccc, type=STRING, align=left, ascii_width=4, length=4, extra_len=0
+        row=2, col=3, data=-3, type=INTEGER, align=right, ascii_width=2, int_digits=1, decimal_places=0, extra_len=1
+        row=2, col=4, data=ccc, type=STRING, align=left, ascii_width=3, length=3, extra_len=0
+        row=2, col=5, data=True, type=BOOL, align=left, ascii_width=4, extra_len=0
+        row=2, col=6, data=Infinity, type=INFINITY, align=left, ascii_width=8, extra_len=0
+        row=2, col=7, data=NaN, type=NAN, align=left, ascii_width=3, extra_len=0
+        row=2, col=8, data=2017-01-01T01:23:45+0900, type=STRING, align=left, ascii_width=24, length=24, extra_len=0
+
+
+Full example source code can be found at *examples/py/to_dp_matrix.py*
+
+
+Extract properties for each column from a matrix
+------------------------------------------------------
+``DataPropertyExtractor.to_column_dp_list`` method returns a list of ``DataProperty`` instances from a data matrix. The list represents the properties for each column.
+An example data set and the result are as follows:
+
+Example data set and result are as follows:
+
+:Sample Code:
+    .. code:: python
+
+        import datetime
+        from dataproperty import DataPropertyExtractor
+
+        dp_extractor = DataPropertyExtractor()
+        dt = datetime.datetime(2017, 1, 1, 0, 0, 0)
+        inf = float("inf")
+        nan = float("nan")
+
+        data_matrix = [
+            [1, 1.1,  "aa",   1,   1,     True,   inf,   nan,   dt],
+            [2, 2.2,  "bbb",  2.2, 2.2,   False,  "inf", "nan", dt],
+            [3, 3.33, "cccc", -3,  "ccc", "true", inf,   "NAN", "2017-01-01T01:23:45+0900"],
+        ]
+
+        dp_extractor.headers = ["int", "float", "str", "num", "mix", "bool", "inf", "nan", "time"]
+        col_dp_list = dp_extractor.to_column_dp_list(dp_extractor.to_dp_matrix(dp_matrix))
+
+        for col_idx, col_dp in enumerate(col_dp_list):
+            print(str(col_dp))
+
+:Output:
+    ::
+
+        column=0, type=INTEGER, align=right, ascii_width=3, bit_len=2, int_digits=1, decimal_places=0
+        column=1, type=REAL_NUMBER, align=right, ascii_width=5, int_digits=1, decimal_places=(min=1, max=2)
+        column=2, type=STRING, align=left, ascii_width=4
+        column=3, type=REAL_NUMBER, align=right, ascii_width=4, int_digits=1, decimal_places=(min=0, max=1), extra_len=(min=0, max=1)
+        column=4, type=STRING, align=left, ascii_width=3, int_digits=1, decimal_places=(min=0, max=1)
+        column=5, type=BOOL, align=left, ascii_width=5
+        column=6, type=INFINITY, align=left, ascii_width=8
+        column=7, type=NAN, align=left, ascii_width=3
+        column=8, type=STRING, align=left, ascii_width=24
+
+
+Full example source code can be found at *examples/py/to_column_dp_list.py*
+
+
+Dependencies
+============
+- Python 3.7+
+- `Python package dependencies (automatically installed) <https://github.com/thombashi/DataProperty/network/dependencies>`__
+
+Optional dependencies
+---------------------
+- `loguru <https://github.com/Delgan/loguru>`__
+    - Used for logging if the package installed

env-llmeval/lib/python3.10/site-packages/DataProperty-1.0.1.dist-info/RECORD

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env-llmeval/lib/python3.10/site-packages/DataProperty-1.0.1.dist-info/WHEEL

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+Wheel-Version: 1.0
+Generator: bdist_wheel (0.40.0)
+Root-Is-Purelib: true
+Tag: py3-none-any
+

env-llmeval/lib/python3.10/site-packages/DataProperty-1.0.1.dist-info/top_level.txt

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+dataproperty

env-llmeval/lib/python3.10/site-packages/networkx-3.3.dist-info/INSTALLER

@@ -0,0 +1 @@
+pip

env-llmeval/lib/python3.10/site-packages/networkx-3.3.dist-info/LICENSE.txt

@@ -0,0 +1,37 @@
+NetworkX is distributed with the 3-clause BSD license.
+
+::
+
+   Copyright (C) 2004-2024, NetworkX Developers
+   Aric Hagberg <[email protected]>
+   Dan Schult <[email protected]>
+   Pieter Swart <[email protected]>
+   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 NetworkX Developers 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
+   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.

env-llmeval/lib/python3.10/site-packages/networkx-3.3.dist-info/METADATA

@@ -0,0 +1,133 @@
+Metadata-Version: 2.1
+Name: networkx
+Version: 3.3
+Summary: Python package for creating and manipulating graphs and networks
+Author-email: Aric Hagberg <[email protected]>
+Maintainer-email: NetworkX Developers <[email protected]>
+Project-URL: Homepage, https://networkx.org/
+Project-URL: Bug Tracker, https://github.com/networkx/networkx/issues
+Project-URL: Documentation, https://networkx.org/documentation/stable/
+Project-URL: Source Code, https://github.com/networkx/networkx
+Keywords: Networks,Graph Theory,Mathematics,network,graph,discrete mathematics,math
+Platform: Linux
+Platform: Mac OSX
+Platform: Windows
+Platform: Unix
+Classifier: Development Status :: 5 - Production/Stable
+Classifier: Intended Audience :: Developers
+Classifier: Intended Audience :: Science/Research
+Classifier: License :: OSI Approved :: BSD License
+Classifier: Operating System :: OS Independent
+Classifier: Programming Language :: Python :: 3
+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: Topic :: Software Development :: Libraries :: Python Modules
+Classifier: Topic :: Scientific/Engineering :: Bio-Informatics
+Classifier: Topic :: Scientific/Engineering :: Information Analysis
+Classifier: Topic :: Scientific/Engineering :: Mathematics
+Classifier: Topic :: Scientific/Engineering :: Physics
+Requires-Python: >=3.10
+Description-Content-Type: text/x-rst
+License-File: LICENSE.txt
+Provides-Extra: default
+Requires-Dist: numpy >=1.23 ; extra == 'default'
+Requires-Dist: scipy !=1.11.0,!=1.11.1,>=1.9 ; extra == 'default'
+Requires-Dist: matplotlib >=3.6 ; extra == 'default'
+Requires-Dist: pandas >=1.4 ; extra == 'default'
+Provides-Extra: developer
+Requires-Dist: changelist ==0.5 ; extra == 'developer'
+Requires-Dist: pre-commit >=3.2 ; extra == 'developer'
+Requires-Dist: mypy >=1.1 ; extra == 'developer'
+Requires-Dist: rtoml ; extra == 'developer'
+Provides-Extra: doc
+Requires-Dist: sphinx >=7 ; extra == 'doc'
+Requires-Dist: pydata-sphinx-theme >=0.14 ; extra == 'doc'
+Requires-Dist: sphinx-gallery >=0.14 ; extra == 'doc'
+Requires-Dist: numpydoc >=1.7 ; extra == 'doc'
+Requires-Dist: pillow >=9.4 ; extra == 'doc'
+Requires-Dist: texext >=0.6.7 ; extra == 'doc'
+Requires-Dist: myst-nb >=1.0 ; extra == 'doc'
+Provides-Extra: extra
+Requires-Dist: lxml >=4.6 ; extra == 'extra'
+Requires-Dist: pygraphviz >=1.12 ; extra == 'extra'
+Requires-Dist: pydot >=2.0 ; extra == 'extra'
+Requires-Dist: sympy >=1.10 ; extra == 'extra'
+Provides-Extra: test
+Requires-Dist: pytest >=7.2 ; extra == 'test'
+Requires-Dist: pytest-cov >=4.0 ; extra == 'test'
+
+NetworkX
+========
+
+
+.. image:: https://github.com/networkx/networkx/workflows/test/badge.svg?branch=main
+  :target: https://github.com/networkx/networkx/actions?query=workflow%3A%22test%22
+
+.. image:: https://codecov.io/gh/networkx/networkx/branch/main/graph/badge.svg
+   :target: https://app.codecov.io/gh/networkx/networkx/branch/main
+   
+.. image:: https://img.shields.io/github/labels/networkx/networkx/Good%20First%20Issue?color=green&label=Contribute%20&style=flat-square
+   :target: https://github.com/networkx/networkx/issues?q=is%3Aopen+is%3Aissue+label%3A%22Good+First+Issue%22
+   
+
+NetworkX is a Python package for the creation, manipulation,
+and study of the structure, dynamics, and functions
+of complex networks.
+
+- **Website (including documentation):** https://networkx.org
+- **Mailing list:** https://groups.google.com/forum/#!forum/networkx-discuss
+- **Source:** https://github.com/networkx/networkx
+- **Bug reports:** https://github.com/networkx/networkx/issues
+- **Report a security vulnerability:** https://tidelift.com/security
+- **Tutorial:** https://networkx.org/documentation/latest/tutorial.html
+- **GitHub Discussions:** https://github.com/networkx/networkx/discussions
+
+Simple example
+--------------
+
+Find the shortest path between two nodes in an undirected graph:
+
+.. code:: pycon
+
+    >>> import networkx as nx
+    >>> G = nx.Graph()
+    >>> G.add_edge("A", "B", weight=4)
+    >>> G.add_edge("B", "D", weight=2)
+    >>> G.add_edge("A", "C", weight=3)
+    >>> G.add_edge("C", "D", weight=4)
+    >>> nx.shortest_path(G, "A", "D", weight="weight")
+    ['A', 'B', 'D']
+
+Install
+-------
+
+Install the latest version of NetworkX::
+
+    $ pip install networkx
+
+Install with all optional dependencies::
+
+    $ pip install networkx[all]
+
+For additional details, please see `INSTALL.rst`.
+
+Bugs
+----
+
+Please report any bugs that you find `here <https://github.com/networkx/networkx/issues>`_.
+Or, even better, fork the repository on `GitHub <https://github.com/networkx/networkx>`_
+and create a pull request (PR). We welcome all changes, big or small, and we
+will help you make the PR if you are new to `git` (just ask on the issue and/or
+see `CONTRIBUTING.rst`).
+
+License
+-------
+
+Released under the 3-Clause BSD license (see `LICENSE.txt`)::
+
+   Copyright (C) 2004-2024 NetworkX Developers
+   Aric Hagberg <[email protected]>
+   Dan Schult <[email protected]>
+   Pieter Swart <[email protected]>

env-llmeval/lib/python3.10/site-packages/networkx-3.3.dist-info/WHEEL

@@ -0,0 +1,5 @@
+Wheel-Version: 1.0
+Generator: bdist_wheel (0.43.0)
+Root-Is-Purelib: true
+Tag: py3-none-any
+

env-llmeval/lib/python3.10/site-packages/networkx-3.3.dist-info/entry_points.txt

@@ -0,0 +1,2 @@
+[networkx.backends]
+nx-loopback = networkx.classes.tests.dispatch_interface:dispatcher

env-llmeval/lib/python3.10/site-packages/networkx-3.3.dist-info/top_level.txt

@@ -0,0 +1 @@
+networkx

env-llmeval/lib/python3.10/site-packages/nvidia_cudnn_cu12-8.9.2.26.dist-info/INSTALLER

@@ -0,0 +1 @@
+pip

env-llmeval/lib/python3.10/site-packages/nvidia_cudnn_cu12-8.9.2.26.dist-info/License.txt

@@ -0,0 +1,154 @@
+LICENSE AGREEMENT FOR NVIDIA SOFTWARE DEVELOPMENT KITS
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+(v. January 28, 2020)
+
+
+cuDNN SUPPLEMENT TO SOFTWARE LICENSE AGREEMENT FOR NVIDIA SOFTWARE DEVELOPMENT KITS
+
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+
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+
+3. Licensing. If the distribution terms in this Agreement are not suitable for your organization, or for any questions regarding this Agreement, please contact NVIDIA at [email protected].
+ (v. January 28, 2020)
+

env-llmeval/lib/python3.10/site-packages/nvidia_cudnn_cu12-8.9.2.26.dist-info/METADATA

@@ -0,0 +1,36 @@
+Metadata-Version: 2.1
+Name: nvidia-cudnn-cu12
+Version: 8.9.2.26
+Summary: cuDNN runtime libraries
+Home-page: https://developer.nvidia.com/cuda-zone
+Author: Nvidia CUDA Installer Team
+Author-email: [email protected]
+License: NVIDIA Proprietary Software
+Keywords: cuda,nvidia,runtime,machine learning,deep learning
+Classifier: Development Status :: 4 - Beta
+Classifier: Intended Audience :: Developers
+Classifier: Intended Audience :: Education
+Classifier: Intended Audience :: Science/Research
+Classifier: License :: Other/Proprietary License
+Classifier: Natural Language :: English
+Classifier: Programming Language :: Python :: 3
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+Classifier: Topic :: Scientific/Engineering :: Mathematics
+Classifier: Topic :: Scientific/Engineering :: Artificial Intelligence
+Classifier: Topic :: Software Development
+Classifier: Topic :: Software Development :: Libraries
+Classifier: Operating System :: Microsoft :: Windows
+Classifier: Operating System :: POSIX :: Linux
+Requires-Python: >=3
+License-File: License.txt
+Requires-Dist: nvidia-cublas-cu12
+
+cuDNN runtime libraries containing primitives for deep neural networks.

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env-llmeval/lib/python3.10/site-packages/nvidia_cudnn_cu12-8.9.2.26.dist-info/WHEEL

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+Wheel-Version: 1.0
+Generator: bdist_wheel (0.37.1)
+Root-Is-Purelib: true
+Tag: py3-none-manylinux1_x86_64
+

env-llmeval/lib/python3.10/site-packages/nvidia_cudnn_cu12-8.9.2.26.dist-info/top_level.txt

@@ -0,0 +1 @@
+nvidia

env-llmeval/lib/python3.10/site-packages/packaging-24.0.dist-info/INSTALLER

@@ -0,0 +1 @@
+pip

env-llmeval/lib/python3.10/site-packages/packaging-24.0.dist-info/LICENSE

@@ -0,0 +1,3 @@
+This software is made available under the terms of *either* of the licenses
+found in LICENSE.APACHE or LICENSE.BSD. Contributions to this software is made
+under the terms of *both* these licenses.

env-llmeval/lib/python3.10/site-packages/packaging-24.0.dist-info/LICENSE.APACHE

@@ -0,0 +1,177 @@
+
+                                 Apache License
+                           Version 2.0, January 2004
+                        http://www.apache.org/licenses/
+
+   TERMS AND CONDITIONS FOR USE, REPRODUCTION, AND DISTRIBUTION
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+   END OF TERMS AND CONDITIONS

env-llmeval/lib/python3.10/site-packages/packaging-24.0.dist-info/LICENSE.BSD

@@ -0,0 +1,23 @@
+Copyright (c) Donald Stufft and individual contributors.
+All rights reserved.
+
+Redistribution and use in source and binary forms, with or without
+modification, are permitted provided that the following conditions are met:
+
+    1. Redistributions of source code must retain the above copyright notice,
+       this list of conditions and the following disclaimer.
+
+    2. Redistributions in binary form must reproduce the above copyright
+       notice, this list of conditions and the following disclaimer in the
+       documentation and/or other materials provided with the distribution.
+
+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.

env-llmeval/lib/python3.10/site-packages/packaging-24.0.dist-info/METADATA

@@ -0,0 +1,102 @@
+Metadata-Version: 2.1
+Name: packaging
+Version: 24.0
+Summary: Core utilities for Python packages
+Author-email: Donald Stufft <[email protected]>
+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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env-llmeval/lib/python3.10/site-packages/pytablewriter-1.2.0.dist-info/INSTALLER

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+pip

env-llmeval/lib/python3.10/site-packages/pytablewriter-1.2.0.dist-info/LICENSE

@@ -0,0 +1,21 @@
+The MIT License (MIT)
+
+Copyright (c) 2016 Tsuyoshi Hombashi
+
+Permission is hereby granted, free of charge, to any person obtaining a copy
+of this software and associated documentation files (the "Software"), to deal
+in the Software without restriction, including without limitation the rights
+to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
+copies of the Software, and to permit persons to whom the Software is
+furnished to do so, subject to the following conditions:
+
+The above copyright notice and this permission notice shall be included in all
+copies or substantial portions of the Software.
+
+THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
+IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
+FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
+AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
+LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
+OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
+SOFTWARE.

env-llmeval/lib/python3.10/site-packages/pytablewriter-1.2.0.dist-info/METADATA

@@ -0,0 +1,929 @@
+Metadata-Version: 2.1
+Name: pytablewriter
+Version: 1.2.0
+Summary: pytablewriter is a Python library to write a table in various formats: AsciiDoc / CSV / Elasticsearch / HTML / JavaScript / JSON / LaTeX / LDJSON / LTSV / Markdown / MediaWiki / NumPy / Excel / Pandas / Python / reStructuredText / SQLite / TOML / TSV / YAML.
+Home-page: https://github.com/thombashi/pytablewriter
+Author: Tsuyoshi Hombashi
+Author-email: [email protected]
+License: MIT License
+Project-URL: Changlog, https://github.com/thombashi/pytablewriter/releases
+Project-URL: Documentation, https://pytablewriter.rtfd.io/
+Project-URL: Funding, https://github.com/sponsors/thombashi
+Project-URL: Source, https://github.com/thombashi/pytablewriter
+Project-URL: Tracker, https://github.com/thombashi/pytablewriter/issues
+Keywords: AsciiDoc,table,CSV,Excel,JavaScript,JSON,LaTeX,LTSV,Markdown,MediaWiki,HTML,pandas,reStructuredText,SQLite,TSV,TOML
+Classifier: Development Status :: 5 - Production/Stable
+Classifier: Intended Audience :: Developers
+Classifier: Intended Audience :: Information Technology
+Classifier: License :: OSI Approved :: MIT License
+Classifier: Operating System :: OS Independent
+Classifier: Programming Language :: Python :: 3
+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
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+Classifier: Programming Language :: Python :: 3 :: Only
+Classifier: Programming Language :: Python :: Implementation :: CPython
+Classifier: Programming Language :: Python :: Implementation :: PyPy
+Classifier: Topic :: Software Development :: Code Generators
+Classifier: Topic :: Software Development :: Libraries
+Classifier: Topic :: Software Development :: Libraries :: Python Modules
+Classifier: Topic :: Text Processing
+Classifier: Topic :: Text Processing :: Markup :: HTML
+Classifier: Topic :: Text Processing :: Markup :: LaTeX
+Classifier: Topic :: Text Processing :: Markup :: Markdown
+Classifier: Topic :: Text Processing :: Markup :: reStructuredText
+Classifier: Typing :: Typed
+Requires-Python: >=3.7
+Description-Content-Type: text/x-rst
+License-File: LICENSE
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+Requires-Dist: pandas <3,>=0.25.3 ; extra == 'all'
+Provides-Extra: docs
+Requires-Dist: sphinx-rtd-theme >=1.2.2 ; extra == 'docs'
+Requires-Dist: Sphinx >=2.4 ; extra == 'docs'
+Requires-Dist: xlwt ; extra == 'docs'
+Requires-Dist: XlsxWriter <4,>=0.9.6 ; extra == 'docs'
+Requires-Dist: elasticsearch <9,>=8.0.1 ; extra == 'docs'
+Requires-Dist: pytablereader <2,>=0.31.3 ; extra == 'docs'
+Requires-Dist: dominate <3,>=2.1.5 ; extra == 'docs'
+Requires-Dist: loguru <1,>=0.4.1 ; extra == 'docs'
+Requires-Dist: SimpleSQLite <2,>=1.3.2 ; extra == 'docs'
+Requires-Dist: pytablewriter-altrow-theme <1,>=0.2.0 ; extra == 'docs'
+Requires-Dist: pytablewriter-altcol-theme <1,>=0.1.0 ; extra == 'docs'
+Requires-Dist: toml <1,>=0.9.3 ; extra == 'docs'
+Requires-Dist: PyYAML <7,>=3.11 ; extra == 'docs'
+Requires-Dist: simplejson <4,>=3.8.1 ; extra == 'docs'
+Requires-Dist: pandas <3,>=0.25.3 ; extra == 'docs'
+Provides-Extra: es
+Requires-Dist: elasticsearch <9,>=8.0.1 ; extra == 'es'
+Provides-Extra: es8
+Requires-Dist: elasticsearch <9,>=8.0.1 ; extra == 'es8'
+Provides-Extra: excel
+Requires-Dist: xlwt ; extra == 'excel'
+Requires-Dist: XlsxWriter <4,>=0.9.6 ; extra == 'excel'
+Provides-Extra: from
+Requires-Dist: pytablereader <2,>=0.31.3 ; extra == 'from'
+Provides-Extra: html
+Requires-Dist: dominate <3,>=2.1.5 ; extra == 'html'
+Provides-Extra: logging
+Requires-Dist: loguru <1,>=0.4.1 ; extra == 'logging'
+Provides-Extra: pandas
+Requires-Dist: pandas <3,>=0.25.3 ; extra == 'pandas'
+Provides-Extra: sqlite
+Requires-Dist: SimpleSQLite <2,>=1.3.2 ; extra == 'sqlite'
+Provides-Extra: test
+Requires-Dist: pandas <3,>=0.25.3 ; extra == 'test'
+Requires-Dist: XlsxWriter <4,>=0.9.6 ; extra == 'test'
+Requires-Dist: beautifulsoup4 >=4.10 ; extra == 'test'
+Requires-Dist: toml <1,>=0.9.3 ; extra == 'test'
+Requires-Dist: pytablewriter-altcol-theme <1,>=0.1.0 ; extra == 'test'
+Requires-Dist: pytest-md-report >=0.4.1 ; extra == 'test'
+Requires-Dist: pytablereader <2,>=0.31.3 ; extra == 'test'
+Requires-Dist: SimpleSQLite <2,>=1.3.2 ; extra == 'test'
+Requires-Dist: dominate <3,>=2.1.5 ; extra == 'test'
+Requires-Dist: pytablewriter-altrow-theme <1,>=0.2.0 ; extra == 'test'
+Requires-Dist: loguru <1,>=0.4.1 ; extra == 'test'
+Requires-Dist: xlwt ; extra == 'test'
+Requires-Dist: PyYAML <7,>=3.11 ; extra == 'test'
+Requires-Dist: elasticsearch <9,>=8.0.1 ; extra == 'test'
+Requires-Dist: tablib >=3.2.0 ; extra == 'test'
+Requires-Dist: pytablereader[excel,sqlite] >=0.31.3 ; extra == 'test'
+Requires-Dist: simplejson <4,>=3.8.1 ; extra == 'test'
+Requires-Dist: sqliteschema >=1.3.0 ; extra == 'test'
+Requires-Dist: pytest >=6.0.1 ; extra == 'test'
+Provides-Extra: theme
+Requires-Dist: pytablewriter-altrow-theme <1,>=0.2.0 ; extra == 'theme'
+Requires-Dist: pytablewriter-altcol-theme <1,>=0.1.0 ; extra == 'theme'
+Provides-Extra: toml
+Requires-Dist: toml <1,>=0.9.3 ; extra == 'toml'
+Provides-Extra: yaml
+Requires-Dist: PyYAML <7,>=3.11 ; extra == 'yaml'
+
+.. contents:: **pytablewriter**
+   :backlinks: top
+   :depth: 2
+
+Summary
+=========
+`pytablewriter <https://github.com/thombashi/pytablewriter>`__ is a Python library to write a table in various formats: AsciiDoc / CSV / Elasticsearch / HTML / JavaScript / JSON / LaTeX / LDJSON / LTSV / Markdown / MediaWiki / NumPy / Excel / Pandas / Python / reStructuredText / SQLite / TOML / TSV / YAML.
+
+.. image:: https://badge.fury.io/py/pytablewriter.svg
+    :target: https://badge.fury.io/py/pytablewriter
+    :alt: PyPI package version
+
+.. image:: https://anaconda.org/conda-forge/pytablewriter/badges/version.svg
+    :target: https://anaconda.org/conda-forge/pytablewriter
+    :alt: conda-forge package version
+
+.. image:: https://img.shields.io/pypi/pyversions/pytablewriter.svg
+    :target: https://pypi.org/project/pytablewriter/
+    :alt: Supported Python versions
+
+.. image:: https://img.shields.io/pypi/implementation/pytablewriter.svg
+    :target: https://pypi.org/project/pytablewriter
+    :alt: Supported Python implementations
+
+.. image:: https://github.com/thombashi/pytablewriter/actions/workflows/ci.yml/badge.svg
+    :target: https://github.com/thombashi/pytablewriter/actions/workflows/ci.yml
+    :alt: CI status of Linux/macOS/Windows
+
+.. image:: https://coveralls.io/repos/github/thombashi/pytablewriter/badge.svg?branch=master
+    :target: https://coveralls.io/github/thombashi/pytablewriter?branch=master
+    :alt: Test coverage
+
+.. image:: https://github.com/thombashi/pytablewriter/actions/workflows/github-code-scanning/codeql/badge.svg
+    :target: https://github.com/thombashi/pytablewriter/actions/workflows/github-code-scanning/codeql
+    :alt: CodeQL
+
+Features
+--------
+- Write a table in various formats:
+    - Text formats:
+        - `AsciiDoc <https://asciidoc.org/>`__
+        - CSV / Tab-separated values (TSV) / Space-separated values (SSV)
+        - HTML / CSS
+        - JSON / `Line-delimited JSON(LDJSON) <https://en.wikipedia.org/wiki/JSON_streaming#Line-delimited_JSON>`__
+        - `Labeled Tab-separated Values (LTSV) <http://ltsv.org/>`__
+        - LaTeX: ``tabular``/``array`` environment
+        - Markdown: CommonMark / `GitHub Flavored Markdown (GFM) <https://github.github.com/gfm/>`__ / `kramdown <https://kramdown.gettalong.org/>`__
+        - `MediaWiki <https://www.mediawiki.org/wiki/MediaWiki>`__
+        - reStructuredText: `Grid Tables <http://docutils.sourceforge.net/docs/ref/rst/restructuredtext.html#grid-tables>`__/`Simple Tables <http://docutils.sourceforge.net/docs/ref/rst/restructuredtext.html#simple-tables>`__/`CSV Table <http://docutils.sourceforge.net/docs/ref/rst/directives.html#id4>`__
+        - Source code (definition of a variable that represents tabular data)
+            - JavaScript / `NumPy <https://www.numpy.org/>`__ (`numpy.array <https://docs.scipy.org/doc/numpy/reference/generated/numpy.array.html>`__) / `Pandas <https://pandas.pydata.org/>`__ (`pandas.DataFrame <https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.DataFrame.html>`__) / Python
+        - `TOML <https://github.com/toml-lang/toml>`__
+        - `YAML <https://yaml.org/>`__
+        - Unicode
+    - Binary file formats:
+        - Microsoft Excel :superscript:`TM` (``.xlsx``/``.xls`` file format)
+        - `pandas.DataFrame <https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.DataFrame.html>`__ pickle file
+        - `SQLite <https://www.sqlite.org/index.html>`__ database
+    - Application-specific formats:
+        - `Elasticsearch <https://www.elastic.co/products/elasticsearch>`__
+- Automatic table cell formatting:
+    - Alignment
+    - Padding
+    - Decimal places of numbers
+- Customize table cell styles:
+    - Text/Background color
+    - Text alignment
+    - Font size/weight
+    - Thousand separator for numbers: e.g. ``1,000``/``1 000``
+- Configure output:
+    - Write a table to a stream such as a file/standard-output/string-buffer/Jupyter-Notebook
+    - Get rendered tabular text
+- Data sources:
+    - nested list
+    - CSV
+    - `pandas.DataFrame <https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.DataFrame.html>`__ / `pandas.Series <https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.Series.html>`__
+    - etc.
+- Multibyte character support
+- ANSI color support
+
+Installation
+============
+
+Installation: pip
+------------------------------
+::
+
+    pip install pytablewriter
+
+Some of the formats require additional dependency packages, you can install these packages as follows:
+
+.. csv-table:: Installation of optional dependencies
+    :header: Installation example, Remark
+
+    ``pip install pytablewriter[es]``, Elasticsearch
+    ``pip install pytablewriter[excel]``, Excel
+    ``pip install pytablewriter[html]``, HTML
+    ``pip install pytablewriter[sqlite]``, SQLite database
+    ``pip install pytablewriter[toml]``, TOML
+    ``pip install pytablewriter[theme]``, pytablewriter theme plugins
+    ``pip install pytablewriter[all]``, Install all of the optional dependencies
+
+Installation: conda
+------------------------------
+::
+
+    conda install -c conda-forge pytablewriter
+
+Installation: apt
+------------------------------
+::
+
+    sudo add-apt-repository ppa:thombashi/ppa
+    sudo apt update
+    sudo apt install python3-pytablewriter
+
+Examples
+==========
+Write tables
+--------------
+Write a Markdown table
+~~~~~~~~~~~~~~~~~~~~~~~~
+:Sample Code:
+    .. code-block:: python
+
+        from pytablewriter import MarkdownTableWriter
+
+        def main():
+            writer = MarkdownTableWriter(
+                table_name="example_table",
+                headers=["int", "float", "str", "bool", "mix", "time"],
+                value_matrix=[
+                    [0,   0.1,      "hoge", True,   0,      "2017-01-01 03:04:05+0900"],
+                    [2,   "-2.23",  "foo",  False,  None,   "2017-12-23 45:01:23+0900"],
+                    [3,   0,        "bar",  "true",  "inf", "2017-03-03 33:44:55+0900"],
+                    [-10, -9.9,     "",     "FALSE", "nan", "2017-01-01 00:00:00+0900"],
+                ],
+            )
+            writer.write_table()
+
+        if __name__ == "__main__":
+            main()
+
+:Output:
+    .. code-block::
+
+        # example_table
+        |int|float|str |bool |  mix   |          time          |
+        |--:|----:|----|-----|-------:|------------------------|
+        |  0| 0.10|hoge|True |       0|2017-01-01 03:04:05+0900|
+        |  2|-2.23|foo |False|        |2017-12-23 12:34:51+0900|
+        |  3| 0.00|bar |True |Infinity|2017-03-03 22:44:55+0900|
+        |-10|-9.90|    |False|     NaN|2017-01-01 00:00:00+0900|
+
+:Rendering Result:
+    .. figure:: https://cdn.jsdelivr.net/gh/thombashi/pytablewriter@master/docs/pages/examples/table_format/text/ss/markdown.png
+       :scale: 80%
+       :alt: https://github.com/thombashi/pytablewriter/blob/master/docs/pages/examples/table_format/text/ss/markdown.png
+
+       Rendered markdown at GitHub
+
+Write a Markdown table with margins
+^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+:Sample Code:
+    .. code-block:: python
+
+        from pytablewriter import MarkdownTableWriter
+
+        def main():
+            writer = MarkdownTableWriter(
+                table_name="write a table with margins",
+                headers=["int", "float", "str", "bool", "mix", "time"],
+                value_matrix=[
+                    [0,   0.1,      "hoge", True,   0,      "2017-01-01 03:04:05+0900"],
+                    [2,   "-2.23",  "foo",  False,  None,   "2017-12-23 45:01:23+0900"],
+                    [3,   0,        "bar",  "true",  "inf", "2017-03-03 33:44:55+0900"],
+                    [-10, -9.9,     "",     "FALSE", "nan", "2017-01-01 00:00:00+0900"],
+                ],
+                margin=1  # add a whitespace for both sides of each cell
+            )
+            writer.write_table()
+
+        if __name__ == "__main__":
+            main()
+
+:Output:
+    .. code-block::
+
+        # write a table with margins
+        | int | float | str  | bool  |   mix    |           time           |
+        | --: | ----: | ---- | ----- | -------: | ------------------------ |
+        |   0 |  0.10 | hoge | True  |        0 | 2017-01-01 03:04:05+0900 |
+        |   2 | -2.23 | foo  | False |          | 2017-12-23 12:34:51+0900 |
+        |   3 |  0.00 | bar  | True  | Infinity | 2017-03-03 22:44:55+0900 |
+        | -10 | -9.90 |      | False |      NaN | 2017-01-01 00:00:00+0900 |
+
+``margin`` attribute can be available for all of the text format writer classes.
+
+Write a GitHub Flavored Markdown (GFM) table
+^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+If you set ``flavor`` keyword argument of ``MarkdownTableWriter`` class to ``"github"`` or ``"gfm"``, the writer will output markdown tables with GitHub flavor.
+GFM can apply some additional styles to tables such as ``fg_color`` (text color).
+
+:Sample Code:
+    .. code-block:: python
+
+            from pytablewriter import MarkdownTableWriter
+            from pytablewriter.style import Style
+
+            writer = MarkdownTableWriter(
+                column_styles=[
+                    Style(fg_color="red"),
+                    Style(fg_color="green", decoration_line="underline"),
+                ],
+                headers=["A", "B"],
+                value_matrix=[
+                    ["abc", 1],
+                    ["efg", 2],
+                ],
+                margin=1,
+                flavor="github",
+                enable_ansi_escape=False,
+            )
+            writer.write_table()
+
+Rendered results can be found at `here <https://github.com/thombashi/pytablewriter/blob/master/docs/pages/examples/output/markdown/gfm.md>`__
+
+Apply styles to GFM table with programmatically
+^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+Applying style filters to GFM allows for more flexible style settings for cells.
+See also the `example <#style-filter>`_
+
+Write a Markdown table to a stream or a file
+^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+`Refer an example <https://github.com/thombashi/pytablewriter/blob/master/examples/py/stream/configure_stream.py>`__
+
+Write a table to an Excel sheet
+~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
+:Sample Code:
+    .. code-block:: python
+
+        from pytablewriter import ExcelXlsxTableWriter
+
+        def main():
+            writer = ExcelXlsxTableWriter()
+            writer.table_name = "example"
+            writer.headers = ["int", "float", "str", "bool", "mix", "time"]
+            writer.value_matrix = [
+                [0,   0.1,      "hoge", True,   0,      "2017-01-01 03:04:05+0900"],
+                [2,   "-2.23",  "foo",  False,  None,   "2017-12-23 12:34:51+0900"],
+                [3,   0,        "bar",  "true",  "inf", "2017-03-03 22:44:55+0900"],
+                [-10, -9.9,     "",     "FALSE", "nan", "2017-01-01 00:00:00+0900"],
+            ]
+            writer.dump("sample.xlsx")
+
+        if __name__ == "__main__":
+            main()
+
+:Output:
+    .. figure:: https://cdn.jsdelivr.net/gh/thombashi/pytablewriter@master/docs/pages/examples/table_format/binary/spreadsheet/ss/excel_single.png
+       :scale: 100%
+       :alt: https://github.com/thombashi/pytablewriter/blob/master/docs/pages/examples/table_format/binary/spreadsheet/ss/excel_single.png
+
+       Output excel file (``sample_single.xlsx``)
+
+Write a Unicode table
+~~~~~~~~~~~~~~~~~~~~~~~
+:Sample Code:
+    .. code-block:: python
+
+        from pytablewriter import UnicodeTableWriter
+
+        def main():
+            writer = UnicodeTableWriter(
+                table_name="example_table",
+                headers=["int", "float", "str", "bool", "mix", "time"],
+                value_matrix=[
+                    [0,   0.1,      "hoge", True,   0,      "2017-01-01 03:04:05+0900"],
+                    [2,   "-2.23",  "foo",  False,  None,   "2017-12-23 45:01:23+0900"],
+                    [3,   0,        "bar",  "true",  "inf", "2017-03-03 33:44:55+0900"],
+                    [-10, -9.9,     "",     "FALSE", "nan", "2017-01-01 00:00:00+0900"],
+                ]
+            )
+            writer.write_table()
+
+        if __name__ == "__main__":
+            main()
+
+:Output:
+    .. code-block::
+
+        ┌───┬─────┬────┬─────┬────────┬────────────────────────┐
+        │int│float│str │bool │  mix   │          time          │
+        ├───┼─────┼────┼─────┼────────┼────────────────────────┤
+        │  0│ 0.10│hoge│True │       0│2017-01-01 03:04:05+0900│
+        ├───┼─────┼────┼─────┼────────┼────────────────────────┤
+        │  2│-2.23│foo │False│        │2017-12-23 12:34:51+0900│
+        ├───┼─────┼────┼─────┼────────┼────────────────────────┤
+        │  3│ 0.00│bar │True │Infinity│2017-03-03 22:44:55+0900│
+        ├───┼─────┼────┼─────┼────────┼────────────────────────┤
+        │-10│-9.90│    │False│     NaN│2017-01-01 00:00:00+0900│
+        └───┴─────┴────┴─────┴────────┴────────────────────────┘
+
+Write a table with JavaScript format (as a nested list variable definition)
+~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
+:Sample Code:
+    .. code-block:: python
+
+        import pytablewriter as ptw
+
+
+        def main():
+            writer = ptw.JavaScriptTableWriter(
+                table_name="js_variable",
+                headers=["int", "float", "str", "bool", "mix", "time"],
+                value_matrix=[
+                    [0, 0.1, "hoge", True, 0, "2017-01-01 03:04:05+0900"],
+                    [2, "-2.23", "foo", False, None, "2017-12-23 45:01:23+0900"],
+                    [3, 0, "bar", "true", "inf", "2017-03-03 33:44:55+0900"],
+                    [-10, -9.9, "", "FALSE", "nan", "2017-01-01 00:00:00+0900"],
+                ],
+            )
+
+            writer.write_table()
+
+
+        if __name__ == "__main__":
+            main()
+
+:Output:
+    .. code-block:: js
+
+        const js_variable = [
+            ["int", "float", "str", "bool", "mix", "time"],
+            [0, 0.1, "hoge", true, 0, "2017-01-01 03:04:05+0900"],
+            [2, -2.23, "foo", false, null, "2017-12-23 45:01:23+0900"],
+            [3, 0, "bar", true, Infinity, "2017-03-03 33:44:55+0900"],
+            [-10, -9.9, "", "FALSE", NaN, "2017-01-01 00:00:00+0900"]
+        ];
+
+Write a Markdown table from ``pandas.DataFrame`` instance
+~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
+``from_dataframe`` method of writer classes will set up tabular data from ``pandas.DataFrame``:
+
+:Sample Code:
+    .. code-block:: python
+
+        from textwrap import dedent
+        import pandas as pd
+        import io
+        from pytablewriter import MarkdownTableWriter
+
+        def main():
+            csv_data = io.StringIO(dedent("""\
+                "i","f","c","if","ifc","bool","inf","nan","mix_num","time"
+                1,1.10,"aa",1.0,"1",True,Infinity,NaN,1,"2017-01-01 00:00:00+09:00"
+                2,2.20,"bbb",2.2,"2.2",False,Infinity,NaN,Infinity,"2017-01-02 03:04:05+09:00"
+                3,3.33,"cccc",-3.0,"ccc",True,Infinity,NaN,NaN,"2017-01-01 00:00:00+09:00"
+                """))
+            df = pd.read_csv(csv_data, sep=',')
+
+            writer = MarkdownTableWriter(dataframe=df)
+            writer.write_table()
+
+        if __name__ == "__main__":
+            main()
+
+:Output:
+    .. code-block::
+
+        | i | f  | c  | if |ifc|bool |  inf   |nan|mix_num |          time           |
+        |--:|---:|----|---:|---|-----|--------|---|-------:|-------------------------|
+        |  1|1.10|aa  | 1.0|  1|True |Infinity|NaN|       1|2017-01-01 00:00:00+09:00|
+        |  2|2.20|bbb | 2.2|2.2|False|Infinity|NaN|Infinity|2017-01-02 03:04:05+09:00|
+        |  3|3.33|cccc|-3.0|ccc|True |Infinity|NaN|     NaN|2017-01-01 00:00:00+09:00|
+
+
+Adding a column of the DataFrame index if you specify ``add_index_column=True``:
+
+:Sample Code:
+    .. code-block:: python
+
+        import pandas as pd
+        import pytablewriter as ptw
+
+        def main():
+            writer = ptw.MarkdownTableWriter(table_name="add_index_column")
+            writer.from_dataframe(
+                pd.DataFrame({"A": [1, 2], "B": [10, 11]}, index=["a", "b"]),
+                add_index_column=True,
+            )
+            writer.write_table()
+
+        if __name__ == "__main__":
+            main()
+
+:Output:
+    .. code-block::
+
+        # add_index_column
+        |   | A | B |
+        |---|--:|--:|
+        |a  |  1| 10|
+        |b  |  2| 11|
+
+Write a Markdown table from space-separated values
+~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
+:Sample Code:
+    .. code-block:: python
+
+        import pytablewriter as ptw
+
+
+        def main():
+            writer = ptw.MarkdownTableWriter(table_name="ps")
+            writer.from_csv(
+                """
+                USER       PID %CPU %MEM    VSZ   RSS TTY      STAT START   TIME COMMAND
+                root         1  0.0  0.4  77664  8784 ?        Ss   May11   0:02 /sbin/init
+                root         2  0.0  0.0      0     0 ?        S    May11   0:00 [kthreadd]
+                root         4  0.0  0.0      0     0 ?        I<   May11   0:00 [kworker/0:0H]
+                root         6  0.0  0.0      0     0 ?        I<   May11   0:00 [mm_percpu_wq]
+                root         7  0.0  0.0      0     0 ?        S    May11   0:01 [ksoftirqd/0]
+                """,
+                delimiter=" ",
+            )
+            writer.write_table()
+
+
+        if __name__ == "__main__":
+            main()
+
+:Output:
+    .. code-block::
+
+        # ps
+        |USER|PID|%CPU|%MEM| VSZ |RSS |TTY|STAT|START|TIME|   COMMAND    |
+        |----|--:|---:|---:|----:|---:|---|----|-----|----|--------------|
+        |root|  1|   0| 0.4|77664|8784|?  |Ss  |May11|0:02|/sbin/init    |
+        |root|  2|   0| 0.0|    0|   0|?  |S   |May11|0:00|[kthreadd]    |
+        |root|  4|   0| 0.0|    0|   0|?  |I<  |May11|0:00|[kworker/0:0H]|
+        |root|  6|   0| 0.0|    0|   0|?  |I<  |May11|0:00|[mm_percpu_wq]|
+        |root|  7|   0| 0.0|    0|   0|?  |S   |May11|0:01|[ksoftirqd/0] |
+
+Get rendered tabular text as str
+----------------------------------
+``dumps`` method returns rendered tabular text.
+``dumps`` only available for text format writers.
+
+:Sample Code:
+    .. code-block:: python
+
+        import pytablewriter as ptw
+
+
+        def main():
+            writer = ptw.MarkdownTableWriter(
+                headers=["int", "float", "str", "bool", "mix", "time"],
+                value_matrix=[
+                    [0, 0.1, "hoge", True, 0, "2017-01-01 03:04:05+0900"],
+                    [2, "-2.23", "foo", False, None, "2017-12-23 45:01:23+0900"],
+                    [3, 0, "bar", "true", "inf", "2017-03-03 33:44:55+0900"],
+                    [-10, -9.9, "", "FALSE", "nan", "2017-01-01 00:00:00+0900"],
+                ],
+            )
+
+            print(writer.dumps())
+
+
+        if __name__ == "__main__":
+            main()
+
+:Output:
+    .. code-block::
+
+        |int|float|str |bool |  mix   |          time          |
+        |--:|----:|----|-----|-------:|------------------------|
+        |  0| 0.10|hoge|True |       0|2017-01-01 03:04:05+0900|
+        |  2|-2.23|foo |False|        |2017-12-23 45:01:23+0900|
+        |  3| 0.00|bar |True |Infinity|2017-03-03 33:44:55+0900|
+        |-10|-9.90|    |False|     NaN|2017-01-01 00:00:00+0900|
+
+Configure table styles
+------------------------
+Column styles
+~~~~~~~~~~~~~~~
+Writers can specify
+`Style <https://pytablewriter.rtfd.io/en/latest/pages/reference/style.html>`__
+for each column by ``column_styles`` attribute of writer classes.
+
+:Sample Code:
+    .. code-block:: python
+
+        import pytablewriter as ptw
+        from pytablewriter.style import Style
+
+
+        def main():
+            writer = ptw.MarkdownTableWriter(
+                table_name="set style by column_styles",
+                headers=[
+                    "auto align",
+                    "left align",
+                    "center align",
+                    "bold",
+                    "italic",
+                    "bold italic ts",
+                ],
+                value_matrix=[
+                    [11, 11, 11, 11, 11, 11],
+                    [1234, 1234, 1234, 1234, 1234, 1234],
+                ],
+                column_styles=[
+                    Style(),
+                    Style(align="left"),
+                    Style(align="center"),
+                    Style(font_weight="bold"),
+                    Style(font_style="italic"),
+                    Style(font_weight="bold", font_style="italic", thousand_separator=","),
+                ],  # specify styles for each column
+            )
+            writer.write_table()
+
+
+        if __name__ == "__main__":
+            main()
+
+:Output:
+    .. code-block::
+
+        # set style by styles
+        |auto align|left align|center align|  bold  |italic|bold italic ts|
+        |---------:|----------|:----------:|-------:|-----:|-------------:|
+        |        11|11        |     11     |  **11**|  _11_|      _**11**_|
+        |      1234|1234      |    1234    |**1234**|_1234_|   _**1,234**_|
+
+    `Rendering result <https://github.com/thombashi/pytablewriter/tree/master/docs/pages/examples/style/output.md>`__
+
+
+You can also set ``Style`` to a specific column with an index or header by using ``set_style`` method:
+
+:Sample Code:
+    .. code-block:: python
+
+        from pytablewriter import MarkdownTableWriter
+        from pytablewriter.style import Style
+
+        def main():
+            writer = MarkdownTableWriter()
+            writer.headers = ["A", "B", "C",]
+            writer.value_matrix = [[11, 11, 11], [1234, 1234, 1234]]
+
+            writer.table_name = "set style by column index"
+            writer.set_style(1, Style(align="center", font_weight="bold"))
+            writer.set_style(2, Style(thousand_separator=" "))
+            writer.write_table()
+            writer.write_null_line()
+
+            writer.table_name = "set style by header"
+            writer.set_style("B", Style(font_style="italic"))
+            writer.write_table()
+
+        if __name__ == "__main__":
+            main()
+
+:Output:
+    .. code-block::
+
+        # set style by column index
+        | A  |   B    |  C  |
+        |---:|:------:|----:|
+        |  11| **11** |   11|
+        |1234|**1234**|1 234|
+
+        # set style by header
+        | A  |  B   |  C  |
+        |---:|-----:|----:|
+        |  11|  _11_|   11|
+        |1234|_1234_|1 234|
+
+Style filter
+~~~~~~~~~~~~~~
+You can apply styles to specific cells by using style filters.
+Style filters will be written as Python functions.
+Examples of a style filter function and how you apply it are as follows:
+
+:Sample Code:
+    .. code-block:: python
+
+            from typing import Any, Optional
+
+            from pytablewriter import MarkdownTableWriter
+            from pytablewriter.style import Cell, Style
+
+
+            def style_filter(cell: Cell, **kwargs: Any) -> Optional[Style]:
+                if cell.is_header_row():
+                    return None
+
+                if cell.col == 0:
+                    return Style(font_weight="bold")
+
+                value = int(cell.value)
+
+                if value > 80:
+                    return Style(fg_color="red", font_weight="bold", decoration_line="underline")
+                elif value > 50:
+                    return Style(fg_color="yellow", font_weight="bold")
+                elif value > 20:
+                    return Style(fg_color="green")
+
+                return Style(fg_color="lightblue")
+
+
+            writer = MarkdownTableWriter(
+                table_name="style filter example",
+                headers=["Key", "Value 1", "Value 2"],
+                value_matrix=[
+                    ["A", 95, 40],
+                    ["B", 55, 5],
+                    ["C", 30, 85],
+                    ["D", 0, 69],
+                ],
+                flavor="github",
+                enable_ansi_escape=False,
+            )
+            writer.add_style_filter(style_filter)
+            writer.write_table()
+
+Rendered results can be found at `here <https://github.com/thombashi/pytablewriter/blob/master/docs/pages/examples/output/markdown/style_filter.md>`__
+
+Theme
+~~~~~~~
+Themes consists of a set of style filters.
+The following command will install external predefined themes:
+
+::
+
+    pip install pytablewriter[theme]
+
+Themes can be set via the constructor of the writer classes or the ``set_theme`` method.
+The following is an example of setting the ``altrow`` theme via the constructor.
+``altrow`` theme will be colored rows alternatively:
+
+:Sample Code:
+    .. code-block:: python
+
+        import pytablewriter as ptw
+
+        writer = ptw.TableWriterFactory.create_from_format_name(
+            "markdown",
+            headers=["INT", "STR"],
+            value_matrix=[[1, "hoge"], [2, "foo"], [3, "bar"]],
+            margin=1,
+            theme="altrow",
+        )
+        writer.write_table()
+
+:Output:
+    .. figure:: https://cdn.jsdelivr.net/gh/thombashi/pytablewriter-altrow-theme@master/ss/ptw-altrow-theme_example_default.png
+       :scale: 100%
+       :alt: https://github.com/thombashi/pytablewriter-altrow-theme/blob/master/ss/ptw-altrow-theme_example_default.png
+
+`[theme]` extras includes the following themes:
+
+- `pytablewriter-altrow-theme <https://github.com/thombashi/pytablewriter-altrow-theme>`__
+    - `Generated HTML table example <https://thombashi.github.io/pytablewriter-altrow-theme/example.html>`__
+- `pytablewriter-altcol-theme <https://github.com/thombashi/pytablewriter-altcol-theme>`__
+    - `Generated HTML table example <https://thombashi.github.io/pytablewriter-altcol-theme/example.html>`__
+
+Make tables for specific applications
+---------------------------------------
+Render a table on Jupyter Notebook
+~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
+All table writer class instances in ``pytablewriter`` can render in Jupyter Notebook.
+To render writers at notebook cells, you will require the dependency packages to be installed either by:
+
+- ``pip install pytablewriter[html]`` or
+- ``pip install pytablewriter[all]``
+
+Jupyter Notebook code examples can be found `here <https://nbviewer.jupyter.org/github/thombashi/pytablewriter/blob/master/examples/ipynb/jupyter_notebook_example.ipynb>`__:
+
+.. figure:: https://cdn.jsdelivr.net/gh/thombashi/pytablewriter@master/ss/jupyter_notebook.png
+   :scale: 100%
+   :alt: https://github.com/thombashi/pytablewriter/blob/master/ss/jupyter_notebook.png
+
+   Table rendering results of Jupyter Notebook
+
+Multibyte character support
+-----------------------------
+Write a table using multibyte character
+~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
+You can use multibyte characters as table data.
+Multibyte characters are also properly padded and aligned.
+
+:Sample Code:
+    .. code-block:: python
+
+        import pytablewriter as ptw
+
+
+        def main():
+            writer = ptw.RstSimpleTableWriter(
+                table_name="生成に関するパターン",
+                headers=["パターン名", "概要", "GoF", "Code Complete[1]"],
+                value_matrix=[
+                    ["Abstract Factory", "関連する一連のインスタンスを状況に応じて、適切に生成する方法を提供する。", "Yes", "Yes"],
+                    ["Builder", "複合化されたインスタンスの生成過程を隠蔽する。", "Yes", "No"],
+                    ["Factory Method", "実際に生成されるインスタンスに依存しない、インスタンスの生成方法を提供する。", "Yes", "Yes"],
+                    ["Prototype", "同様のインスタンスを生成するために、原型のインスタンスを複製する。", "Yes", "No"],
+                    ["Singleton", "あるクラスについて、インスタンスが単一であることを保証する。", "Yes", "Yes"],
+                ],
+            )
+            writer.write_table()
+
+
+        if __name__ == "__main__":
+            main()
+
+:Output:
+    .. figure:: https://cdn.jsdelivr.net/gh/thombashi/pytablewriter@master/docs/pages/examples/multibyte/ss/multi_byte_char.png
+       :scale: 100%
+       :alt: https://github.com/thombashi/pytablewriter/blob/master/docs/pages/examples/multibyte/ss/multi_byte_char.png
+
+       Output of multi-byte character table
+
+Multiprocessing
+-----------------
+You can increase the number of workers to process table data via ``max_workers`` attribute of a writer.
+The more ``max_workers`` the less processing time when tabular data is large and the execution environment has available cores.
+
+If you increase ``max_workers`` larger than one, recommend using main guarded as follows to avoid problems caused by multi-processing:
+
+.. code-block:: python
+
+    from multiprocessing import cpu_count
+    import pytablewriter as ptw
+
+    def main():
+        writer = ptw.MarkdownTableWriter()
+        writer.max_workers = cpu_count()
+        ...
+
+    if __name__ == "__main__":
+        main()
+
+For more information
+----------------------
+More examples are available at 
+https://pytablewriter.rtfd.io/en/latest/pages/examples/index.html
+
+Dependencies
+============
+- Python 3.7+
+- `Python package dependencies (automatically installed) <https://github.com/thombashi/pytablewriter/network/dependencies>`__
+
+
+Optional dependencies
+---------------------
+- ``logging`` extras
+    - `loguru <https://github.com/Delgan/loguru>`__: Used for logging if the package installed
+- ``from`` extras
+    - `pytablereader <https://github.com/thombashi/pytablereader>`__
+- ``es`` extra
+    - `elasticsearch <https://github.com/elastic/elasticsearch-py>`__
+- ``excel`` extras
+    - `xlwt <http://www.python-excel.org/>`__
+    - `XlsxWriter <https://github.com/jmcnamara/XlsxWriter>`__
+- ``html`` extras
+    - `dominate <https://github.com/Knio/dominate/>`__
+- ``sqlite`` extras
+    - `SimpleSQLite <https://github.com/thombashi/SimpleSQLite>`__
+- ``theme`` extras
+    - `pytablewriter-altrow-theme <https://github.com/thombashi/pytablewriter-altrow-theme>`__
+    - `pytablewriter-altcol-theme <https://github.com/thombashi/pytablewriter-altcol-theme>`__
+- ``toml`` extras
+    - `toml <https://github.com/uiri/toml>`__
+
+Documentation
+===============
+https://pytablewriter.rtfd.io/
+
+Projects using pytablewriter
+==================================
+- `pytest-md-report <https://github.com/thombashi/pytest-md-report>`__
+
+
+Related Projects
+==================================
+- `pytablereader <https://github.com/thombashi/pytablereader>`__
+    - Tabular data loaded by ``pytablereader`` can be written another tabular data format with ``pytablewriter``.
+
+Sponsors
+====================================
+.. image:: https://avatars.githubusercontent.com/u/44389260?s=48&u=6da7176e51ae2654bcfd22564772ef8a3bb22318&v=4
+   :target: https://github.com/chasbecker
+   :alt: Charles Becker (chasbecker)
+.. image:: https://avatars.githubusercontent.com/u/46711571?s=48&u=57687c0e02d5d6e8eeaf9177f7b7af4c9f275eb5&v=4
+   :target: https://github.com/Arturi0
+   :alt: onetime: Arturi0
+.. image:: https://avatars.githubusercontent.com/u/3658062?s=48&v=4
+   :target: https://github.com/b4tman
+   :alt: onetime: Dmitry Belyaev (b4tman)
+
+`Become a sponsor <https://github.com/sponsors/thombashi>`__
+

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env-llmeval/lib/python3.10/site-packages/pytablewriter-1.2.0.dist-info/WHEEL

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+Wheel-Version: 1.0
+Generator: bdist_wheel (0.41.2)
+Root-Is-Purelib: true
+Tag: py3-none-any
+

env-llmeval/lib/python3.10/site-packages/pytablewriter-1.2.0.dist-info/top_level.txt

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+pytablewriter

env-llmeval/lib/python3.10/site-packages/rouge_score/__init__.py

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+# Copyright 2022 The rouge_score Authors.
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+#     http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+
+