# Copyright 2016 The TensorFlow Authors. All Rights Reserved. # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law or agreed to in writing, software # distributed under the License is distributed on an "AS IS" BASIS, # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. # See the License for the specific language governing permissions and # limitations under the License. # ============================================================================== """Utility functions for writing decorators (which modify docstrings).""" from __future__ import absolute_import from __future__ import division from __future__ import print_function import sys def get_qualified_name(function): # Python 3 if hasattr(function, '__qualname__'): return function.__qualname__ # Python 2 if hasattr(function, 'im_class'): return function.im_class.__name__ + '.' + function.__name__ return function.__name__ def _normalize_docstring(docstring): """Normalizes the docstring. Replaces tabs with spaces, removes leading and trailing blanks lines, and removes any indentation. Copied from PEP-257: https://www.python.org/dev/peps/pep-0257/#handling-docstring-indentation Args: docstring: the docstring to normalize Returns: The normalized docstring """ if not docstring: return '' # Convert tabs to spaces (following the normal Python rules) # and split into a list of lines: lines = docstring.expandtabs().splitlines() # Determine minimum indentation (first line doesn't count): # (we use sys.maxsize because sys.maxint doesn't exist in Python 3) indent = sys.maxsize for line in lines[1:]: stripped = line.lstrip() if stripped: indent = min(indent, len(line) - len(stripped)) # Remove indentation (first line is special): trimmed = [lines[0].strip()] if indent < sys.maxsize: for line in lines[1:]: trimmed.append(line[indent:].rstrip()) # Strip off trailing and leading blank lines: while trimmed and not trimmed[-1]: trimmed.pop() while trimmed and not trimmed[0]: trimmed.pop(0) # Return a single string: return '\n'.join(trimmed) def add_notice_to_docstring( doc, instructions, no_doc_str, suffix_str, notice): """Adds a deprecation notice to a docstring.""" if not doc: lines = [no_doc_str] else: lines = _normalize_docstring(doc).splitlines() lines[0] += ' ' + suffix_str notice = [''] + notice + ([instructions] if instructions else []) if len(lines) > 1: # Make sure that we keep our distance from the main body if lines[1].strip(): notice.append('') lines[1:1] = notice else: lines += notice return '\n'.join(lines) def validate_callable(func, decorator_name): if not hasattr(func, '__call__'): raise ValueError( '%s is not a function. If this is a property, make sure' ' @property appears before @%s in your source code:' '\n\n@property\n@%s\ndef method(...)' % ( func, decorator_name, decorator_name)) class classproperty(object): # pylint: disable=invalid-name """Class property decorator. Example usage: class MyClass(object): @classproperty def value(cls): return '123' > print MyClass.value 123 """ def __init__(self, func): self._func = func def __get__(self, owner_self, owner_cls): return self._func(owner_cls)