import warnings import functools class MatplotlibDeprecationWarning(UserWarning): """ A class for issuing deprecation warnings for Matplotlib users. In light of the fact that Python builtin DeprecationWarnings are ignored by default as of Python 2.7 (see link below), this class was put in to allow for the signaling of deprecation, but via UserWarnings which are not ignored by default. https://docs.python.org/dev/whatsnew/2.7.html#the-future-for-python-2-x """ pass mplDeprecation = MatplotlibDeprecationWarning def _generate_deprecation_message(since, message='', name='', alternative='', pending=False, obj_type='attribute', addendum=''): if not message: if pending: message = ( 'The %(name)s %(obj_type)s will be deprecated in a ' 'future version.') else: message = ( 'The %(name)s %(obj_type)s was deprecated in version ' '%(since)s.') altmessage = '' if alternative: altmessage = ' Use %s instead.' % alternative message = ((message % { 'func': name, 'name': name, 'alternative': alternative, 'obj_type': obj_type, 'since': since}) + altmessage) if addendum: message += addendum return message def warn_deprecated( since, message='', name='', alternative='', pending=False, obj_type='attribute', addendum=''): """ Used to display deprecation warning in a standard way. Parameters ---------- since : str The release at which this API became deprecated. message : str, optional Override the default deprecation message. The format specifier `%(name)s` may be used for the name of the function, and `%(alternative)s` may be used in the deprecation message to insert the name of an alternative to the deprecated function. `%(obj_type)s` may be used to insert a friendly name for the type of object being deprecated. name : str, optional The name of the deprecated object. alternative : str, optional An alternative function that the user may use in place of the deprecated function. The deprecation warning will tell the user about this alternative if provided. pending : bool, optional If True, uses a PendingDeprecationWarning instead of a DeprecationWarning. obj_type : str, optional The object type being deprecated. addendum : str, optional Additional text appended directly to the final message. Examples -------- Basic example:: # To warn of the deprecation of "matplotlib.name_of_module" warn_deprecated('1.4.0', name='matplotlib.name_of_module', obj_type='module') """ message = _generate_deprecation_message( since, message, name, alternative, pending, obj_type) warnings.warn(message, mplDeprecation, stacklevel=1) def deprecated(since, message='', name='', alternative='', pending=False, obj_type=None, addendum=''): """ Decorator to mark a function or a class as deprecated. Parameters ---------- since : str The release at which this API became deprecated. This is required. message : str, optional Override the default deprecation message. The format specifier `%(name)s` may be used for the name of the object, and `%(alternative)s` may be used in the deprecation message to insert the name of an alternative to the deprecated object. `%(obj_type)s` may be used to insert a friendly name for the type of object being deprecated. name : str, optional The name of the deprecated object; if not provided the name is automatically determined from the passed in object, though this is useful in the case of renamed functions, where the new function is just assigned to the name of the deprecated function. For example:: def new_function(): ... oldFunction = new_function alternative : str, optional An alternative object that the user may use in place of the deprecated object. The deprecation warning will tell the user about this alternative if provided. pending : bool, optional If True, uses a PendingDeprecationWarning instead of a DeprecationWarning. addendum : str, optional Additional text appended directly to the final message. Examples -------- Basic example:: @deprecated('1.4.0') def the_function_to_deprecate(): pass """ def deprecate(obj, message=message, name=name, alternative=alternative, pending=pending, addendum=addendum): import textwrap if not name: name = obj.__name__ if isinstance(obj, type): obj_type = "class" old_doc = obj.__doc__ func = obj.__init__ def finalize(wrapper, new_doc): try: obj.__doc__ = new_doc except (AttributeError, TypeError): # cls.__doc__ is not writeable on Py2. # TypeError occurs on PyPy pass obj.__init__ = wrapper return obj else: obj_type = "function" if isinstance(obj, classmethod): func = obj.__func__ old_doc = func.__doc__ def finalize(wrapper, new_doc): wrapper = functools.wraps(func)(wrapper) wrapper.__doc__ = new_doc return classmethod(wrapper) else: func = obj old_doc = func.__doc__ def finalize(wrapper, new_doc): wrapper = functools.wraps(func)(wrapper) wrapper.__doc__ = new_doc return wrapper message = _generate_deprecation_message( since, message, name, alternative, pending, obj_type, addendum) def wrapper(*args, **kwargs): warnings.warn(message, mplDeprecation, stacklevel=2) return func(*args, **kwargs) old_doc = textwrap.dedent(old_doc or '').strip('\n') message = message.strip() new_doc = (('\n.. deprecated:: %(since)s' '\n %(message)s\n\n' % {'since': since, 'message': message}) + old_doc) if not old_doc: # This is to prevent a spurious 'unexected unindent' warning from # docutils when the original docstring was blank. new_doc += r'\ ' return finalize(wrapper, new_doc) return deprecate