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venv/Lib/site-packages/prompt_toolkit-3.0.8.dist-info/METADATA
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Metadata-Version: 2.1
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Name: prompt-toolkit
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Version: 3.0.8
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Summary: Library for building powerful interactive command lines in Python
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Home-page: https://github.com/prompt-toolkit/python-prompt-toolkit
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Author: Jonathan Slenders
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License: UNKNOWN
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Platform: UNKNOWN
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Classifier: Development Status :: 5 - Production/Stable
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Classifier: Intended Audience :: Developers
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Classifier: License :: OSI Approved :: BSD License
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Classifier: Operating System :: OS Independent
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Classifier: Programming Language :: Python :: 3
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Classifier: Programming Language :: Python :: 3.6
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Classifier: Programming Language :: Python :: 3.7
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Classifier: Programming Language :: Python :: 3.8
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Classifier: Programming Language :: Python :: 3 :: Only
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Classifier: Programming Language :: Python
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Classifier: Topic :: Software Development
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Requires-Python: >=3.6.1
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Description-Content-Type: text/x-rst
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Requires-Dist: wcwidth
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Python Prompt Toolkit
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=====================
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|Build Status| |AppVeyor| |PyPI| |RTD| |License| |Codecov|
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.. image :: https://github.com/prompt-toolkit/python-prompt-toolkit/raw/master/docs/images/logo_400px.png
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``prompt_toolkit`` *is a library for building powerful interactive command line applications in Python.*
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Read the `documentation on readthedocs
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<http://python-prompt-toolkit.readthedocs.io/en/stable/>`_.
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NOTICE: prompt_toolkit 3.0
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**************************
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Please notice that this branch is the ``prompt_toolkit`` **3.0** branch. For most
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users, it should be compatible with ``prompt_toolkit`` **2.0**, but it requires at
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least **Python 3.6**. On the plus side, ``prompt_toolkit`` **3.0** is completely type
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annotated and uses asyncio natively.
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Gallery
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*******
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`ptpython <http://github.com/prompt-toolkit/ptpython/>`_ is an interactive
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Python Shell, build on top of ``prompt_toolkit``.
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.. image :: https://github.com/prompt-toolkit/python-prompt-toolkit/raw/master/docs/images/ptpython.png
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`More examples <https://python-prompt-toolkit.readthedocs.io/en/stable/pages/gallery.html>`_
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prompt_toolkit features
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***********************
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``prompt_toolkit`` could be a replacement for `GNU readline
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<https://tiswww.case.edu/php/chet/readline/rltop.html>`_, but it can be much
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more than that.
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Some features:
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- **Pure Python**.
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- Syntax highlighting of the input while typing. (For instance, with a Pygments lexer.)
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- Multi-line input editing.
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- Advanced code completion.
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- Both Emacs and Vi key bindings. (Similar to readline.)
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- Even some advanced Vi functionality, like named registers and digraphs.
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- Reverse and forward incremental search.
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- Works well with Unicode double width characters. (Chinese input.)
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- Selecting text for copy/paste. (Both Emacs and Vi style.)
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- Support for `bracketed paste <https://cirw.in/blog/bracketed-paste>`_.
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- Mouse support for cursor positioning and scrolling.
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- Auto suggestions. (Like `fish shell <http://fishshell.com/>`_.)
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- Multiple input buffers.
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- No global state.
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- Lightweight, the only dependencies are Pygments and wcwidth.
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- Runs on Linux, OS X, FreeBSD, OpenBSD and Windows systems.
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- And much more...
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Feel free to create tickets for bugs and feature requests, and create pull
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requests if you have nice patches that you would like to share with others.
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Installation
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************
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::
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pip install prompt_toolkit
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For Conda, do:
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::
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conda install -c https://conda.anaconda.org/conda-forge prompt_toolkit
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About Windows support
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*********************
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``prompt_toolkit`` is cross platform, and everything that you build on top
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should run fine on both Unix and Windows systems. Windows support is best on
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recent Windows 10 builds, for which the command line window supports vt100
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escape sequences. (If not supported, we fall back to using Win32 APIs for color
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and cursor movements).
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It's worth noting that the implementation is a "best effort of what is
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possible". Both Unix and Windows terminals have their limitations. But in
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general, the Unix experience will still be a little better.
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For Windows, it's recommended to use either `cmder
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<http://cmder.net/>`_ or `conemu <https://conemu.github.io/>`_.
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Getting started
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***************
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The most simple example of the library would look like this:
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.. code:: python
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from prompt_toolkit import prompt
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if __name__ == '__main__':
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answer = prompt('Give me some input: ')
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print('You said: %s' % answer)
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For more complex examples, have a look in the ``examples`` directory. All
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examples are chosen to demonstrate only one thing. Also, don't be afraid to
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look at the source code. The implementation of the ``prompt`` function could be
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a good start.
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Philosophy
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**********
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The source code of ``prompt_toolkit`` should be **readable**, **concise** and
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**efficient**. We prefer short functions focusing each on one task and for which
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the input and output types are clearly specified. We mostly prefer composition
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over inheritance, because inheritance can result in too much functionality in
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the same object. We prefer immutable objects where possible (objects don't
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change after initialization). Reusability is important. We absolutely refrain
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from having a changing global state, it should be possible to have multiple
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independent instances of the same code in the same process. The architecture
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should be layered: the lower levels operate on primitive operations and data
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structures giving -- when correctly combined -- all the possible flexibility;
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while at the higher level, there should be a simpler API, ready-to-use and
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sufficient for most use cases. Thinking about algorithms and efficiency is
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important, but avoid premature optimization.
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`Projects using prompt_toolkit <PROJECTS.rst>`_
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***********************************************
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Special thanks to
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*****************
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- `Pygments <http://pygments.org/>`_: Syntax highlighter.
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- `wcwidth <https://github.com/jquast/wcwidth>`_: Determine columns needed for a wide characters.
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.. |Build Status| image:: https://api.travis-ci.org/prompt-toolkit/python-prompt-toolkit.svg?branch=master
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:target: https://travis-ci.org/prompt-toolkit/python-prompt-toolkit#
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.. |PyPI| image:: https://img.shields.io/pypi/v/prompt_toolkit.svg
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:target: https://pypi.python.org/pypi/prompt-toolkit/
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:alt: Latest Version
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.. |AppVeyor| image:: https://ci.appveyor.com/api/projects/status/32r7s2skrgm9ubva?svg=true
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:target: https://ci.appveyor.com/project/prompt-toolkit/python-prompt-toolkit/
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.. |RTD| image:: https://readthedocs.org/projects/python-prompt-toolkit/badge/
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:target: https://python-prompt-toolkit.readthedocs.io/en/master/
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.. |License| image:: https://img.shields.io/github/license/prompt-toolkit/python-prompt-toolkit.svg
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:target: https://github.com/prompt-toolkit/python-prompt-toolkit/blob/master/LICENSE
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.. |Codecov| image:: https://codecov.io/gh/prompt-toolkit/python-prompt-toolkit/branch/master/graphs/badge.svg?style=flat
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:target: https://codecov.io/gh/prompt-toolkit/python-prompt-toolkit/
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