Metadata-Version: 2.0 Name: funcsigs Version: 1.0.2 Summary: Python function signatures from PEP362 for Python 2.6, 2.7 and 3.2+ Home-page: http://funcsigs.readthedocs.org Author: Testing Cabal Author-email: testing-in-python@lists.idyll.org License: ASL Platform: UNKNOWN Classifier: Development Status :: 4 - Beta Classifier: Intended Audience :: Developers Classifier: License :: OSI Approved :: Apache Software License Classifier: Operating System :: OS Independent Classifier: Programming Language :: Python Classifier: Programming Language :: Python :: 2 Classifier: Programming Language :: Python :: 2.6 Classifier: Programming Language :: Python :: 2.7 Classifier: Programming Language :: Python :: 3 Classifier: Programming Language :: Python :: 3.3 Classifier: Programming Language :: Python :: 3.4 Classifier: Programming Language :: Python :: 3.5 Classifier: Programming Language :: Python :: Implementation :: CPython Classifier: Programming Language :: Python :: Implementation :: PyPy Classifier: Topic :: Software Development :: Libraries :: Python Modules Requires-Dist: ordereddict; python_version<"2.7" .. funcsigs documentation master file, created by sphinx-quickstart on Fri Apr 20 20:27:52 2012. You can adapt this file completely to your liking, but it should at least contain the root `toctree` directive. Introducing funcsigs ==================== The Funcsigs Package -------------------- ``funcsigs`` is a backport of the `PEP 362`_ function signature features from Python 3.3's `inspect`_ module. The backport is compatible with Python 2.6, 2.7 as well as 3.3 and up. 3.2 was supported by version 0.4, but with setuptools and pip no longer supporting 3.2, we cannot make any statement about 3.2 compatibility. Compatibility ````````````` The ``funcsigs`` backport has been tested against: * CPython 2.6 * CPython 2.7 * CPython 3.3 * CPython 3.4 * CPython 3.5 * CPython nightlies * PyPy and PyPy3(currently failing CI) Continuous integration testing is provided by `Travis CI`_. Under Python 2.x there is a compatibility issue when a function is assigned to the ``__wrapped__`` property of a class after it has been constructed. Similiarily there under PyPy directly passing the ``__call__`` method of a builtin is also a compatibility issues. Otherwise the functionality is believed to be uniform between both Python2 and Python3. Issues `````` Source code for ``funcsigs`` is hosted on `GitHub`_. Any bug reports or feature requests can be made using GitHub's `issues system`_. |build_status| |coverage| Example ------- To obtain a `Signature` object, pass the target function to the ``funcsigs.signature`` function. .. code-block:: python >>> from funcsigs import signature >>> def foo(a, b=None, *args, **kwargs): ... pass ... >>> sig = signature(foo) >>> sig >>> sig.parameters OrderedDict([('a', ), ('b', ), ('args', ), ('kwargs', )]) >>> sig.return_annotation Introspecting callables with the Signature object ------------------------------------------------- .. note:: This section of documentation is a direct reproduction of the Python standard library documentation for the inspect module. The Signature object represents the call signature of a callable object and its return annotation. To retrieve a Signature object, use the :func:`signature` function. .. function:: signature(callable) Return a :class:`Signature` object for the given ``callable``:: >>> from funcsigs import signature >>> def foo(a, *, b:int, **kwargs): ... pass >>> sig = signature(foo) >>> str(sig) '(a, *, b:int, **kwargs)' >>> str(sig.parameters['b']) 'b:int' >>> sig.parameters['b'].annotation Accepts a wide range of python callables, from plain functions and classes to :func:`functools.partial` objects. .. note:: Some callables may not be introspectable in certain implementations of Python. For example, in CPython, built-in functions defined in C provide no metadata about their arguments. .. class:: Signature A Signature object represents the call signature of a function and its return annotation. For each parameter accepted by the function it stores a :class:`Parameter` object in its :attr:`parameters` collection. Signature objects are *immutable*. Use :meth:`Signature.replace` to make a modified copy. .. attribute:: Signature.empty A special class-level marker to specify absence of a return annotation. .. attribute:: Signature.parameters An ordered mapping of parameters' names to the corresponding :class:`Parameter` objects. .. attribute:: Signature.return_annotation The "return" annotation for the callable. If the callable has no "return" annotation, this attribute is set to :attr:`Signature.empty`. .. method:: Signature.bind(*args, **kwargs) Create a mapping from positional and keyword arguments to parameters. Returns :class:`BoundArguments` if ``*args`` and ``**kwargs`` match the signature, or raises a :exc:`TypeError`. .. method:: Signature.bind_partial(*args, **kwargs) Works the same way as :meth:`Signature.bind`, but allows the omission of some required arguments (mimics :func:`functools.partial` behavior.) Returns :class:`BoundArguments`, or raises a :exc:`TypeError` if the passed arguments do not match the signature. .. method:: Signature.replace(*[, parameters][, return_annotation]) Create a new Signature instance based on the instance replace was invoked on. It is possible to pass different ``parameters`` and/or ``return_annotation`` to override the corresponding properties of the base signature. To remove return_annotation from the copied Signature, pass in :attr:`Signature.empty`. :: >>> def test(a, b): ... pass >>> sig = signature(test) >>> new_sig = sig.replace(return_annotation="new return anno") >>> str(new_sig) "(a, b) -> 'new return anno'" .. class:: Parameter Parameter objects are *immutable*. Instead of modifying a Parameter object, you can use :meth:`Parameter.replace` to create a modified copy. .. attribute:: Parameter.empty A special class-level marker to specify absence of default values and annotations. .. attribute:: Parameter.name The name of the parameter as a string. Must be a valid python identifier name (with the exception of ``POSITIONAL_ONLY`` parameters, which can have it set to ``None``). .. attribute:: Parameter.default The default value for the parameter. If the parameter has no default value, this attribute is set to :attr:`Parameter.empty`. .. attribute:: Parameter.annotation The annotation for the parameter. If the parameter has no annotation, this attribute is set to :attr:`Parameter.empty`. .. attribute:: Parameter.kind Describes how argument values are bound to the parameter. Possible values (accessible via :class:`Parameter`, like ``Parameter.KEYWORD_ONLY``): +------------------------+----------------------------------------------+ | Name | Meaning | +========================+==============================================+ | *POSITIONAL_ONLY* | Value must be supplied as a positional | | | argument. | | | | | | Python has no explicit syntax for defining | | | positional-only parameters, but many built-in| | | and extension module functions (especially | | | those that accept only one or two parameters)| | | accept them. | +------------------------+----------------------------------------------+ | *POSITIONAL_OR_KEYWORD*| Value may be supplied as either a keyword or | | | positional argument (this is the standard | | | binding behaviour for functions implemented | | | in Python.) | +------------------------+----------------------------------------------+ | *VAR_POSITIONAL* | A tuple of positional arguments that aren't | | | bound to any other parameter. This | | | corresponds to a ``*args`` parameter in a | | | Python function definition. | +------------------------+----------------------------------------------+ | *KEYWORD_ONLY* | Value must be supplied as a keyword argument.| | | Keyword only parameters are those which | | | appear after a ``*`` or ``*args`` entry in a | | | Python function definition. | +------------------------+----------------------------------------------+ | *VAR_KEYWORD* | A dict of keyword arguments that aren't bound| | | to any other parameter. This corresponds to a| | | ``**kwargs`` parameter in a Python function | | | definition. | +------------------------+----------------------------------------------+ Example: print all keyword-only arguments without default values:: >>> def foo(a, b, *, c, d=10): ... pass >>> sig = signature(foo) >>> for param in sig.parameters.values(): ... if (param.kind == param.KEYWORD_ONLY and ... param.default is param.empty): ... print('Parameter:', param) Parameter: c .. method:: Parameter.replace(*[, name][, kind][, default][, annotation]) Create a new Parameter instance based on the instance replaced was invoked on. To override a :class:`Parameter` attribute, pass the corresponding argument. To remove a default value or/and an annotation from a Parameter, pass :attr:`Parameter.empty`. :: >>> from funcsigs import Parameter >>> param = Parameter('foo', Parameter.KEYWORD_ONLY, default=42) >>> str(param) 'foo=42' >>> str(param.replace()) # Will create a shallow copy of 'param' 'foo=42' >>> str(param.replace(default=Parameter.empty, annotation='spam')) "foo:'spam'" .. class:: BoundArguments Result of a :meth:`Signature.bind` or :meth:`Signature.bind_partial` call. Holds the mapping of arguments to the function's parameters. .. attribute:: BoundArguments.arguments An ordered, mutable mapping (:class:`collections.OrderedDict`) of parameters' names to arguments' values. Contains only explicitly bound arguments. Changes in :attr:`arguments` will reflect in :attr:`args` and :attr:`kwargs`. Should be used in conjunction with :attr:`Signature.parameters` for any argument processing purposes. .. note:: Arguments for which :meth:`Signature.bind` or :meth:`Signature.bind_partial` relied on a default value are skipped. However, if needed, it is easy to include them. :: >>> def foo(a, b=10): ... pass >>> sig = signature(foo) >>> ba = sig.bind(5) >>> ba.args, ba.kwargs ((5,), {}) >>> for param in sig.parameters.values(): ... if param.name not in ba.arguments: ... ba.arguments[param.name] = param.default >>> ba.args, ba.kwargs ((5, 10), {}) .. attribute:: BoundArguments.args A tuple of positional arguments values. Dynamically computed from the :attr:`arguments` attribute. .. attribute:: BoundArguments.kwargs A dict of keyword arguments values. Dynamically computed from the :attr:`arguments` attribute. The :attr:`args` and :attr:`kwargs` properties can be used to invoke functions:: def test(a, *, b): ... sig = signature(test) ba = sig.bind(10, b=20) test(*ba.args, **ba.kwargs) .. seealso:: :pep:`362` - Function Signature Object. The detailed specification, implementation details and examples. Copyright --------- *funcsigs* is a derived work of CPython under the terms of the `PSF License Agreement`_. The original CPython inspect module, its unit tests and documentation are the copyright of the Python Software Foundation. The derived work is distributed under the `Apache License Version 2.0`_. .. _PSF License Agreement: http://docs.python.org/3/license.html#terms-and-conditions-for-accessing-or-otherwise-using-python .. _Apache License Version 2.0: http://opensource.org/licenses/Apache-2.0 .. _GitHub: https://github.com/testing-cabal/funcsigs .. _PSF License Agreement: http://docs.python.org/3/license.html#terms-and-conditions-for-accessing-or-otherwise-using-python .. _Travis CI: http://travis-ci.org/ .. _Read The Docs: http://funcsigs.readthedocs.org/ .. _PEP 362: http://www.python.org/dev/peps/pep-0362/ .. _inspect: http://docs.python.org/3/library/inspect.html#introspecting-callables-with-the-signature-object .. _issues system: https://github.com/testing-cabal/funcsigs/issues .. |build_status| image:: https://secure.travis-ci.org/aliles/funcsigs.png?branch=master :target: http://travis-ci.org/#!/aliles/funcsigs :alt: Current build status .. |coverage| image:: https://coveralls.io/repos/aliles/funcsigs/badge.png?branch=master :target: https://coveralls.io/r/aliles/funcsigs?branch=master :alt: Coverage status .. |pypi_version| image:: https://pypip.in/v/funcsigs/badge.png :target: https://crate.io/packages/funcsigs/ :alt: Latest PyPI version