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Metadata-Version: 1.1
Name: argcomplete
Version: 0.8.1
Summary: Bash tab completion for argparse
Home-page: https://github.com/kislyuk/argcomplete
Author: Andrey Kislyuk
Author-email: kislyuk@gmail.com
License: Apache Software License
Description: argcomplete - Bash tab completion for argparse
        ==============================================
        *Tab complete all the things!*
        
        Argcomplete provides easy, extensible command line tab completion of arguments for your Python script.
        
        It makes two assumptions:
        
        * You're using bash or zsh as your shell
        * You're using `argparse <http://docs.python.org/2.7/library/argparse.html>`_ to manage your command line arguments/options
        
        Argcomplete is particularly useful if your program has lots of options or subparsers, and if your program can
        dynamically suggest completions for your argument/option values (for example, if the user is browsing resources over
        the network).
        
        Installation
        ------------
        ::
        
            pip install argcomplete
            activate-global-python-argcomplete
        
        See `Activating global completion`_ below for details about the second step (or if it reports an error).
        
        Refresh your bash environment (start a new shell or ``source /etc/profile``).
        
        Synopsis
        --------
        Python code (e.g. ``my-awesome-script.py``):
        
        .. code-block:: python
        
            #!/usr/bin/env python
            # PYTHON_ARGCOMPLETE_OK
            import argcomplete, argparse
            parser = argparse.ArgumentParser()
            ...
            argcomplete.autocomplete(parser)
            args = parser.parse_args()
            ...
        
        Shellcode (only necessary if global completion is not activated - see `Global completion`_ below), to be put in e.g. ``.bashrc``::
        
            eval "$(register-python-argcomplete my-awesome-script.py)"
        
        argcomplete.autocomplete(*parser*)
        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
        This method is the entry point to the module. It must be called **after** ArgumentParser construction is complete, but
        **before** the ``ArgumentParser.parse_args()`` method is called. The method looks for an environment variable that the
        completion hook shellcode sets, and if it's there, collects completions, prints them to the output stream (fd 8 by
        default), and exits. Otherwise, it returns to the caller immediately.
        
        .. admonition:: Side effects
        
         Argcomplete gets completions by running your program. It intercepts the execution flow at the moment
         ``argcomplete.autocomplete()`` is called. After sending completions, it exits using ``exit_method`` (``os._exit``
         by default). This means if your program has any side effects that happen before ``argcomplete`` is called, those
         side effects will happen every time the user presses ``<TAB>`` (although anything your program prints to stdout or
         stderr will be suppressed). For this reason it's best to construct the argument parser and call
         ``argcomplete.autocomplete()`` as early as possible in your execution flow.
        
        Specifying completers
        ---------------------
        You can specify custom completion functions for your options and arguments. Two styles are supported: callable and
        readline-style. Callable completers are simpler. They are called with the following keyword arguments:
        
        * ``prefix``: The prefix text of the last word before the cursor on the command line. All returned completions should begin with this prefix.
        * ``action``: The ``argparse.Action`` instance that this completer was called for.
        * ``parser``: The ``argparse.ArgumentParser`` instance that the action was taken by.
        * ``parsed_args``: The result of argument parsing so far (the ``argparse.Namespace`` args object normally returned by
          ``ArgumentParser.parse_args()``).
        
        Completers should return their completions as a list of strings. An example completer for names of environment
        variables might look like this:
        
        .. code-block:: python
        
            def EnvironCompleter(prefix, **kwargs):
                return (v for v in os.environ if v.startswith(prefix))
        
        To specify a completer for an argument or option, set the ``completer`` attribute of its associated action. An easy
        way to do this at definition time is:
        
        .. code-block:: python
        
            from argcomplete.completers import EnvironCompleter
        
            parser = argparse.ArgumentParser()
            parser.add_argument("--env-var1").completer = EnvironCompleter
            parser.add_argument("--env-var2").completer = EnvironCompleter
            argcomplete.autocomplete(parser)
        
        If you specify the ``choices`` keyword for an argparse option or argument (and don't specify a completer), it will be
        used for completions. 
        
        A completer that is initialized with a set of all possible choices of values for its action might look like this:
        
        .. code-block:: python
        
            class ChoicesCompleter(object):
                def __init__(self, choices=[]):
                    self.choices = choices
        
                def __call__(self, prefix, **kwargs):
                    return (c for c in self.choices if c.startswith(prefix))
        
        The following two ways to specify a static set of choices are equivalent for completion purposes:
        
        .. code-block:: python
        
            from argcomplete.completers import ChoicesCompleter
        
            parser.add_argument("--protocol", choices=('http', 'https', 'ssh', 'rsync', 'wss'))
            parser.add_argument("--proto").completer=ChoicesCompleter(('http', 'https', 'ssh', 'rsync', 'wss'))
        
        The following `script <https://raw.github.com/kislyuk/argcomplete/master/docs/examples/describe_github_user.py>`_ uses
        ``parsed_args`` and `Requests <http://python-requests.org/>`_ to query GitHub for publicly known members of an
        organization and complete their names, then prints the member description:
        
        .. code-block:: python
        
            #!/usr/bin/env python
            # PYTHON_ARGCOMPLETE_OK
            import argcomplete, argparse, requests, pprint
        
            def github_org_members(prefix, parsed_args, **kwargs):
                resource = "https://api.github.com/orgs/{org}/members".format(org=parsed_args.organization)
                return (member['login'] for member in requests.get(resource).json() if member['login'].startswith(prefix))
        
            parser = argparse.ArgumentParser()
            parser.add_argument("--organization", help="GitHub organization")
            parser.add_argument("--member", help="GitHub member").completer = github_org_members
        
            argcomplete.autocomplete(parser)
            args = parser.parse_args()
        
            pprint.pprint(requests.get("https://api.github.com/users/{m}".format(m=args.member)).json())
        
        `Try it <https://raw.github.com/kislyuk/argcomplete/master/docs/examples/describe_github_user.py>`_ like this::
        
            ./describe_github_user.py --organization heroku --member <TAB>
        
        If you have a useful completer to add to the `completer library
        <https://github.com/kislyuk/argcomplete/blob/master/argcomplete/completers.py>`_, send a pull request!
        
        Readline-style completers
        ~~~~~~~~~~~~~~~~~~~~~~~~~
        The readline_ module defines a completer protocol in rlcompleter_. Readline-style completers are also supported by
        argcomplete, so you can use the same completer object both in an interactive readline-powered shell and on the bash
        command line. For example, you can use the readline-style completer provided by IPython_ to get introspective
        completions like you would get in the IPython shell:
        
        .. _readline: http://docs.python.org/2/library/readline.html
        .. _rlcompleter: http://docs.python.org/2/library/rlcompleter.html#completer-objects
        .. _IPython: http://ipython.org/
        
        .. code-block:: python
        
            import IPython
            parser.add_argument("--python-name").completer = IPython.core.completer.Completer()
        
        Printing warnings in completers
        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
        Normal stdout/stderr output is suspended when argcomplete runs. Sometimes, though, when the user presses ``<TAB>``, it's
        appropriate to print information about why completions generation failed. To do this, use ``warn``:
        
        .. code-block:: python
        
            from argcomplete import warn
        
            def AwesomeWebServiceCompleter(prefix, **kwargs):
                if login_failed:
                    warn("Please log in to Awesome Web Service to use autocompletion")
                return completions
        
        Using a custom completion validator
        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
        By default, argcomplete validates your completions by checking if they start with the prefix given to the completer. You
        can override this validation check by supplying the ``validator`` keyword to ``argcomplete.autocomplete()``:
        
        .. code-block:: python
        
            def my_validator(current_input, keyword_to_check_against):
                # Pass through ALL options even if they don't all start with 'current_input'
                return True
        
            argcomplete.autocomplete(parser, validator=my_validator)
        
        Global completion
        -----------------
        In global completion mode, you don't have to register each argcomplete-capable executable separately. Instead, bash
        will look for the string **PYTHON_ARGCOMPLETE_OK** in the first 1024 bytes of any executable that it's running
        completion for, and if it's found, follow the rest of the argcomplete protocol as described above.
        
        .. admonition:: Bash version compatibility
        
         Global completion requires bash support for ``complete -D``, which was introduced in bash 4.2. On OS X or older Linux
         systems, you will need to update bash to use this feature. Check the version of the running copy of bash with
         ``echo $BASH_VERSION``. On OS X, install bash via `Homebrew <http://brew.sh/>`_ (``brew install bash``), add
         ``/usr/local/bin/bash`` to ``/etc/shells``, and run ``chsh`` to change your shell.
         
         Global completion is not currently compatible with zsh.
        
        .. note:: If you use setuptools/distribute ``scripts`` or ``entry_points`` directives to package your module,
         argcomplete will follow the wrapper scripts to their destination and look for ``PYTHON_ARGCOMPLETE_OK`` in the
         destination code.
        
        Activating global completion
        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~
        The script ``activate-global-python-argcomplete`` will try to install the file
        ``bash_completion.d/python-argcomplete.sh`` (`see on GitHub`_) into an appropriate location on your system
        (``/etc/bash_completion.d/`` or ``~/.bash_completion.d/``). If it
        fails, but you know the correct location of your bash completion scripts directory, you can specify it with ``--dest``::
        
            activate-global-python-argcomplete --dest=/path/to/bash_completion.d
        
        Otherwise, you can redirect its shellcode output into a file::
        
            activate-global-python-argcomplete --dest=- > file
        
        The file's contents should then be sourced in e.g. ``~/.bashrc``.
        
        .. _`see on GitHub`: https://github.com/kislyuk/argcomplete/blob/master/argcomplete/bash_completion.d/python-argcomplete.sh
        
        Debugging
        ---------
        Set the ``_ARC_DEBUG`` variable in your shell to enable verbose debug output every time argcomplete runs. Alternatively,
        you can bypass the bash completion shellcode altogether, and interact with the Python code directly with something like
        this::
        
            PROGNAME=./{YOUR_PY_SCRIPT} TEST_ARGS='some_arguments with autocompl' _ARC_DEBUG=1 COMP_LINE="$PROGNAME $TEST_ARGS" COMP_POINT=31 _ARGCOMPLETE=1 $PROGNAME 8>&1 9>>~/autocomplete_debug.log
        
        Then tail::
        
            tail -f ~/autocomplete_debug.log
        
        Acknowledgments
        ---------------
        Inspired and informed by the optcomplete_ module by Martin Blais.
        
        .. _optcomplete: http://pypi.python.org/pypi/optcomplete
        
        Links
        -----
        * `Project home page (GitHub) <https://github.com/kislyuk/argcomplete>`_
        * `Documentation (Read the Docs) <https://argcomplete.readthedocs.org/en/latest/>`_
        * `Package distribution (PyPI) <https://warehouse.python.org/project/argcomplete/>`_
        
        Bugs
        ~~~~
        Please report bugs, issues, feature requests, etc. on `GitHub <https://github.com/kislyuk/argcomplete/issues>`_.
        
        License
        -------
        Licensed under the terms of the `Apache License, Version 2.0 <http://www.apache.org/licenses/LICENSE-2.0>`_.
        
        .. image:: https://travis-ci.org/kislyuk/argcomplete.png
                :target: https://travis-ci.org/kislyuk/argcomplete
        .. image:: https://pypip.in/v/argcomplete/badge.png
                :target: https://warehouse.python.org/project/argcomplete/
        .. image:: https://pypip.in/d/argcomplete/badge.png
                :target: https://warehouse.python.org/project/argcomplete/
        
Platform: MacOS X
Platform: Posix
Classifier: Environment :: Console
Classifier: Intended Audience :: Developers
Classifier: License :: OSI Approved :: Apache Software License
Classifier: Operating System :: MacOS :: MacOS X
Classifier: Operating System :: POSIX
Classifier: Programming Language :: Python
Classifier: Programming Language :: Python :: 2.7
Classifier: Programming Language :: Python :: 3.3
Classifier: Programming Language :: Python :: 3.4
Classifier: Development Status :: 5 - Production/Stable
Classifier: Topic :: Software Development :: Libraries :: Python Modules