511 lines
20 KiB
Python
511 lines
20 KiB
Python
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"""
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Helper functions for deprecating parts of the Matplotlib API.
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This documentation is only relevant for Matplotlib developers, not for users.
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.. warning::
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This module is for internal use only. Do not use it in your own code.
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We may change the API at any time with no warning.
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"""
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import contextlib
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import functools
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import inspect
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import math
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import warnings
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class MatplotlibDeprecationWarning(DeprecationWarning):
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"""A class for issuing deprecation warnings for Matplotlib users."""
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def _generate_deprecation_warning(
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since, message='', name='', alternative='', pending=False, obj_type='',
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addendum='', *, removal=''):
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if pending:
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if removal:
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raise ValueError(
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"A pending deprecation cannot have a scheduled removal")
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else:
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removal = f"in {removal}" if removal else "two minor releases later"
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if not message:
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message = (
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("The %(name)s %(obj_type)s" if obj_type else "%(name)s")
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+ (" will be deprecated in a future version"
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if pending else
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(" was deprecated in Matplotlib %(since)s"
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+ (" and will be removed %(removal)s" if removal else "")))
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+ "."
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+ (" Use %(alternative)s instead." if alternative else "")
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+ (" %(addendum)s" if addendum else ""))
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warning_cls = (PendingDeprecationWarning if pending
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else MatplotlibDeprecationWarning)
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return warning_cls(message % dict(
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func=name, name=name, obj_type=obj_type, since=since, removal=removal,
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alternative=alternative, addendum=addendum))
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def warn_deprecated(
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since, *, message='', name='', alternative='', pending=False,
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obj_type='', addendum='', removal=''):
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"""
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Display a standardized deprecation.
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Parameters
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----------
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since : str
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The release at which this API became deprecated.
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message : str, optional
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Override the default deprecation message. The ``%(since)s``,
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``%(name)s``, ``%(alternative)s``, ``%(obj_type)s``, ``%(addendum)s``,
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and ``%(removal)s`` format specifiers will be replaced by the values
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of the respective arguments passed to this function.
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name : str, optional
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The name of the deprecated object.
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alternative : str, optional
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An alternative API that the user may use in place of the deprecated
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API. The deprecation warning will tell the user about this alternative
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if provided.
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pending : bool, optional
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If True, uses a PendingDeprecationWarning instead of a
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DeprecationWarning. Cannot be used together with *removal*.
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obj_type : str, optional
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The object type being deprecated.
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addendum : str, optional
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Additional text appended directly to the final message.
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removal : str, optional
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The expected removal version. With the default (an empty string), a
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removal version is automatically computed from *since*. Set to other
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Falsy values to not schedule a removal date. Cannot be used together
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with *pending*.
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Examples
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--------
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::
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# To warn of the deprecation of "matplotlib.name_of_module"
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warn_deprecated('1.4.0', name='matplotlib.name_of_module',
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obj_type='module')
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"""
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warning = _generate_deprecation_warning(
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since, message, name, alternative, pending, obj_type, addendum,
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removal=removal)
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from . import warn_external
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warn_external(warning, category=MatplotlibDeprecationWarning)
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def deprecated(since, *, message='', name='', alternative='', pending=False,
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obj_type=None, addendum='', removal=''):
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"""
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Decorator to mark a function, a class, or a property as deprecated.
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When deprecating a classmethod, a staticmethod, or a property, the
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``@deprecated`` decorator should go *under* ``@classmethod`` and
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``@staticmethod`` (i.e., `deprecated` should directly decorate the
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underlying callable), but *over* ``@property``.
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When deprecating a class ``C`` intended to be used as a base class in a
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multiple inheritance hierarchy, ``C`` *must* define an ``__init__`` method
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(if ``C`` instead inherited its ``__init__`` from its own base class, then
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``@deprecated`` would mess up ``__init__`` inheritance when installing its
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own (deprecation-emitting) ``C.__init__``).
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Parameters are the same as for `warn_deprecated`, except that *obj_type*
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defaults to 'class' if decorating a class, 'attribute' if decorating a
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property, and 'function' otherwise.
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Examples
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--------
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::
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@deprecated('1.4.0')
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def the_function_to_deprecate():
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pass
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"""
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def deprecate(obj, message=message, name=name, alternative=alternative,
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pending=pending, obj_type=obj_type, addendum=addendum):
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from matplotlib._api import classproperty
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if isinstance(obj, type):
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if obj_type is None:
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obj_type = "class"
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func = obj.__init__
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name = name or obj.__name__
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old_doc = obj.__doc__
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def finalize(wrapper, new_doc):
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try:
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obj.__doc__ = new_doc
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except AttributeError: # Can't set on some extension objects.
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pass
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obj.__init__ = functools.wraps(obj.__init__)(wrapper)
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return obj
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elif isinstance(obj, (property, classproperty)):
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if obj_type is None:
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obj_type = "attribute"
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func = None
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name = name or obj.fget.__name__
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old_doc = obj.__doc__
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class _deprecated_property(type(obj)):
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def __get__(self, instance, owner=None):
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if instance is not None or owner is not None \
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and isinstance(self, classproperty):
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emit_warning()
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return super().__get__(instance, owner)
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def __set__(self, instance, value):
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if instance is not None:
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emit_warning()
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return super().__set__(instance, value)
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def __delete__(self, instance):
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if instance is not None:
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emit_warning()
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return super().__delete__(instance)
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def __set_name__(self, owner, set_name):
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nonlocal name
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if name == "<lambda>":
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name = set_name
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def finalize(_, new_doc):
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return _deprecated_property(
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fget=obj.fget, fset=obj.fset, fdel=obj.fdel, doc=new_doc)
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else:
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if obj_type is None:
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obj_type = "function"
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func = obj
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name = name or obj.__name__
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old_doc = func.__doc__
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def finalize(wrapper, new_doc):
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wrapper = functools.wraps(func)(wrapper)
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wrapper.__doc__ = new_doc
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return wrapper
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def emit_warning():
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warn_deprecated(
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since, message=message, name=name, alternative=alternative,
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pending=pending, obj_type=obj_type, addendum=addendum,
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removal=removal)
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def wrapper(*args, **kwargs):
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emit_warning()
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return func(*args, **kwargs)
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old_doc = inspect.cleandoc(old_doc or '').strip('\n')
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notes_header = '\nNotes\n-----'
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second_arg = ' '.join([t.strip() for t in
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(message, f"Use {alternative} instead."
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if alternative else "", addendum) if t])
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new_doc = (f"[*Deprecated*] {old_doc}\n"
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f"{notes_header if notes_header not in old_doc else ''}\n"
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f".. deprecated:: {since}\n"
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f" {second_arg}")
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if not old_doc:
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# This is to prevent a spurious 'unexpected unindent' warning from
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# docutils when the original docstring was blank.
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new_doc += r'\ '
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return finalize(wrapper, new_doc)
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return deprecate
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class deprecate_privatize_attribute:
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"""
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Helper to deprecate public access to an attribute (or method).
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This helper should only be used at class scope, as follows::
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class Foo:
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attr = _deprecate_privatize_attribute(*args, **kwargs)
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where *all* parameters are forwarded to `deprecated`. This form makes
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``attr`` a property which forwards read and write access to ``self._attr``
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(same name but with a leading underscore), with a deprecation warning.
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Note that the attribute name is derived from *the name this helper is
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assigned to*. This helper also works for deprecating methods.
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"""
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def __init__(self, *args, **kwargs):
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self.deprecator = deprecated(*args, **kwargs)
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def __set_name__(self, owner, name):
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setattr(owner, name, self.deprecator(
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property(lambda self: getattr(self, f"_{name}"),
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lambda self, value: setattr(self, f"_{name}", value)),
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name=name))
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# Used by _copy_docstring_and_deprecators to redecorate pyplot wrappers and
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# boilerplate.py to retrieve original signatures. It may seem natural to store
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# this information as an attribute on the wrapper, but if the wrapper gets
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# itself functools.wraps()ed, then such attributes are silently propagated to
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# the outer wrapper, which is not desired.
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DECORATORS = {}
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def rename_parameter(since, old, new, func=None):
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"""
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Decorator indicating that parameter *old* of *func* is renamed to *new*.
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The actual implementation of *func* should use *new*, not *old*. If *old*
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is passed to *func*, a DeprecationWarning is emitted, and its value is
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used, even if *new* is also passed by keyword (this is to simplify pyplot
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wrapper functions, which always pass *new* explicitly to the Axes method).
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If *new* is also passed but positionally, a TypeError will be raised by the
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underlying function during argument binding.
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Examples
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--------
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::
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@_api.rename_parameter("3.1", "bad_name", "good_name")
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def func(good_name): ...
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"""
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decorator = functools.partial(rename_parameter, since, old, new)
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if func is None:
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return decorator
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signature = inspect.signature(func)
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assert old not in signature.parameters, (
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f"Matplotlib internal error: {old!r} cannot be a parameter for "
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f"{func.__name__}()")
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assert new in signature.parameters, (
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f"Matplotlib internal error: {new!r} must be a parameter for "
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f"{func.__name__}()")
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@functools.wraps(func)
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def wrapper(*args, **kwargs):
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if old in kwargs:
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warn_deprecated(
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since, message=f"The {old!r} parameter of {func.__name__}() "
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f"has been renamed {new!r} since Matplotlib {since}; support "
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f"for the old name will be dropped %(removal)s.")
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kwargs[new] = kwargs.pop(old)
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return func(*args, **kwargs)
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# wrapper() must keep the same documented signature as func(): if we
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# instead made both *old* and *new* appear in wrapper()'s signature, they
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# would both show up in the pyplot function for an Axes method as well and
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# pyplot would explicitly pass both arguments to the Axes method.
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DECORATORS[wrapper] = decorator
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return wrapper
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class _deprecated_parameter_class:
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def __repr__(self):
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return "<deprecated parameter>"
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_deprecated_parameter = _deprecated_parameter_class()
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def delete_parameter(since, name, func=None, **kwargs):
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"""
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Decorator indicating that parameter *name* of *func* is being deprecated.
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The actual implementation of *func* should keep the *name* parameter in its
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signature, or accept a ``**kwargs`` argument (through which *name* would be
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passed).
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Parameters that come after the deprecated parameter effectively become
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keyword-only (as they cannot be passed positionally without triggering the
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DeprecationWarning on the deprecated parameter), and should be marked as
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such after the deprecation period has passed and the deprecated parameter
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is removed.
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Parameters other than *since*, *name*, and *func* are keyword-only and
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forwarded to `.warn_deprecated`.
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Examples
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--------
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::
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@_api.delete_parameter("3.1", "unused")
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def func(used_arg, other_arg, unused, more_args): ...
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"""
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decorator = functools.partial(delete_parameter, since, name, **kwargs)
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if func is None:
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return decorator
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signature = inspect.signature(func)
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# Name of `**kwargs` parameter of the decorated function, typically
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# "kwargs" if such a parameter exists, or None if the decorated function
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# doesn't accept `**kwargs`.
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kwargs_name = next((param.name for param in signature.parameters.values()
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if param.kind == inspect.Parameter.VAR_KEYWORD), None)
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if name in signature.parameters:
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kind = signature.parameters[name].kind
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is_varargs = kind is inspect.Parameter.VAR_POSITIONAL
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is_varkwargs = kind is inspect.Parameter.VAR_KEYWORD
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if not is_varargs and not is_varkwargs:
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name_idx = (
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# Deprecated parameter can't be passed positionally.
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math.inf if kind is inspect.Parameter.KEYWORD_ONLY
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# If call site has no more than this number of parameters, the
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# deprecated parameter can't have been passed positionally.
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else [*signature.parameters].index(name))
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func.__signature__ = signature = signature.replace(parameters=[
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param.replace(default=_deprecated_parameter)
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if param.name == name else param
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for param in signature.parameters.values()])
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else:
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name_idx = -1 # Deprecated parameter can always have been passed.
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else:
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is_varargs = is_varkwargs = False
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# Deprecated parameter can't be passed positionally.
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name_idx = math.inf
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assert kwargs_name, (
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f"Matplotlib internal error: {name!r} must be a parameter for "
|
||
|
|
f"{func.__name__}()")
|
||
|
|
|
||
|
|
addendum = kwargs.pop('addendum', None)
|
||
|
|
|
||
|
|
@functools.wraps(func)
|
||
|
|
def wrapper(*inner_args, **inner_kwargs):
|
||
|
|
if len(inner_args) <= name_idx and name not in inner_kwargs:
|
||
|
|
# Early return in the simple, non-deprecated case (much faster than
|
||
|
|
# calling bind()).
|
||
|
|
return func(*inner_args, **inner_kwargs)
|
||
|
|
arguments = signature.bind(*inner_args, **inner_kwargs).arguments
|
||
|
|
if is_varargs and arguments.get(name):
|
||
|
|
warn_deprecated(
|
||
|
|
since, message=f"Additional positional arguments to "
|
||
|
|
f"{func.__name__}() are deprecated since %(since)s and "
|
||
|
|
f"support for them will be removed %(removal)s.")
|
||
|
|
elif is_varkwargs and arguments.get(name):
|
||
|
|
warn_deprecated(
|
||
|
|
since, message=f"Additional keyword arguments to "
|
||
|
|
f"{func.__name__}() are deprecated since %(since)s and "
|
||
|
|
f"support for them will be removed %(removal)s.")
|
||
|
|
# We cannot just check `name not in arguments` because the pyplot
|
||
|
|
# wrappers always pass all arguments explicitly.
|
||
|
|
elif any(name in d and d[name] != _deprecated_parameter
|
||
|
|
for d in [arguments, arguments.get(kwargs_name, {})]):
|
||
|
|
deprecation_addendum = (
|
||
|
|
f"If any parameter follows {name!r}, they should be passed as "
|
||
|
|
f"keyword, not positionally.")
|
||
|
|
warn_deprecated(
|
||
|
|
since,
|
||
|
|
name=repr(name),
|
||
|
|
obj_type=f"parameter of {func.__name__}()",
|
||
|
|
addendum=(addendum + " " + deprecation_addendum) if addendum
|
||
|
|
else deprecation_addendum,
|
||
|
|
**kwargs)
|
||
|
|
return func(*inner_args, **inner_kwargs)
|
||
|
|
|
||
|
|
DECORATORS[wrapper] = decorator
|
||
|
|
return wrapper
|
||
|
|
|
||
|
|
|
||
|
|
def make_keyword_only(since, name, func=None):
|
||
|
|
"""
|
||
|
|
Decorator indicating that passing parameter *name* (or any of the following
|
||
|
|
ones) positionally to *func* is being deprecated.
|
||
|
|
|
||
|
|
When used on a method that has a pyplot wrapper, this should be the
|
||
|
|
outermost decorator, so that :file:`boilerplate.py` can access the original
|
||
|
|
signature.
|
||
|
|
"""
|
||
|
|
|
||
|
|
decorator = functools.partial(make_keyword_only, since, name)
|
||
|
|
|
||
|
|
if func is None:
|
||
|
|
return decorator
|
||
|
|
|
||
|
|
signature = inspect.signature(func)
|
||
|
|
POK = inspect.Parameter.POSITIONAL_OR_KEYWORD
|
||
|
|
KWO = inspect.Parameter.KEYWORD_ONLY
|
||
|
|
assert (name in signature.parameters
|
||
|
|
and signature.parameters[name].kind == POK), (
|
||
|
|
f"Matplotlib internal error: {name!r} must be a positional-or-keyword "
|
||
|
|
f"parameter for {func.__name__}()")
|
||
|
|
names = [*signature.parameters]
|
||
|
|
name_idx = names.index(name)
|
||
|
|
kwonly = [name for name in names[name_idx:]
|
||
|
|
if signature.parameters[name].kind == POK]
|
||
|
|
|
||
|
|
@functools.wraps(func)
|
||
|
|
def wrapper(*args, **kwargs):
|
||
|
|
# Don't use signature.bind here, as it would fail when stacked with
|
||
|
|
# rename_parameter and an "old" argument name is passed in
|
||
|
|
# (signature.bind would fail, but the actual call would succeed).
|
||
|
|
if len(args) > name_idx:
|
||
|
|
warn_deprecated(
|
||
|
|
since, message="Passing the %(name)s %(obj_type)s "
|
||
|
|
"positionally is deprecated since Matplotlib %(since)s; the "
|
||
|
|
"parameter will become keyword-only %(removal)s.",
|
||
|
|
name=name, obj_type=f"parameter of {func.__name__}()")
|
||
|
|
return func(*args, **kwargs)
|
||
|
|
|
||
|
|
# Don't modify *func*'s signature, as boilerplate.py needs it.
|
||
|
|
wrapper.__signature__ = signature.replace(parameters=[
|
||
|
|
param.replace(kind=KWO) if param.name in kwonly else param
|
||
|
|
for param in signature.parameters.values()])
|
||
|
|
DECORATORS[wrapper] = decorator
|
||
|
|
return wrapper
|
||
|
|
|
||
|
|
|
||
|
|
def deprecate_method_override(method, obj, *, allow_empty=False, **kwargs):
|
||
|
|
"""
|
||
|
|
Return ``obj.method`` with a deprecation if it was overridden, else None.
|
||
|
|
|
||
|
|
Parameters
|
||
|
|
----------
|
||
|
|
method
|
||
|
|
An unbound method, i.e. an expression of the form
|
||
|
|
``Class.method_name``. Remember that within the body of a method, one
|
||
|
|
can always use ``__class__`` to refer to the class that is currently
|
||
|
|
being defined.
|
||
|
|
obj
|
||
|
|
Either an object of the class where *method* is defined, or a subclass
|
||
|
|
of that class.
|
||
|
|
allow_empty : bool, default: False
|
||
|
|
Whether to allow overrides by "empty" methods without emitting a
|
||
|
|
warning.
|
||
|
|
**kwargs
|
||
|
|
Additional parameters passed to `warn_deprecated` to generate the
|
||
|
|
deprecation warning; must at least include the "since" key.
|
||
|
|
"""
|
||
|
|
|
||
|
|
def empty(): pass
|
||
|
|
def empty_with_docstring(): """doc"""
|
||
|
|
|
||
|
|
name = method.__name__
|
||
|
|
bound_child = getattr(obj, name)
|
||
|
|
bound_base = (
|
||
|
|
method # If obj is a class, then we need to use unbound methods.
|
||
|
|
if isinstance(bound_child, type(empty)) and isinstance(obj, type)
|
||
|
|
else method.__get__(obj))
|
||
|
|
if (bound_child != bound_base
|
||
|
|
and (not allow_empty
|
||
|
|
or (getattr(getattr(bound_child, "__code__", None),
|
||
|
|
"co_code", None)
|
||
|
|
not in [empty.__code__.co_code,
|
||
|
|
empty_with_docstring.__code__.co_code]))):
|
||
|
|
warn_deprecated(**{"name": name, "obj_type": "method", **kwargs})
|
||
|
|
return bound_child
|
||
|
|
return None
|
||
|
|
|
||
|
|
|
||
|
|
@contextlib.contextmanager
|
||
|
|
def suppress_matplotlib_deprecation_warning():
|
||
|
|
with warnings.catch_warnings():
|
||
|
|
warnings.simplefilter("ignore", MatplotlibDeprecationWarning)
|
||
|
|
yield
|