122 lines
4.6 KiB
Python
122 lines
4.6 KiB
Python
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# Copyright 2015 The TensorFlow Authors. All Rights Reserved.
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#
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# Licensed under the Apache License, Version 2.0 (the "License");
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# you may not use this file except in compliance with the License.
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# You may obtain a copy of the License at
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#
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# http://www.apache.org/licenses/LICENSE-2.0
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#
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# Unless required by applicable law or agreed to in writing, software
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# distributed under the License is distributed on an "AS IS" BASIS,
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# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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# See the License for the specific language governing permissions and
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# limitations under the License.
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# ==============================================================================
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"""Generate __all__ from a module docstring."""
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from __future__ import absolute_import
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from __future__ import division
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from __future__ import print_function
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import re as _re
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import sys as _sys
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from tensorflow.python.util import tf_inspect as _tf_inspect
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_reference_pattern = _re.compile(r'^@@(\w+)$', flags=_re.MULTILINE)
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def make_all(module_name, doc_string_modules=None):
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"""Generates `__all__` from the docstring of one or more modules.
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Usage: `make_all(__name__)` or
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`make_all(__name__, [sys.modules(__name__), other_module])`. The doc string
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modules must each a docstring, and `__all__` will contain all symbols with
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`@@` references, where that symbol currently exists in the module named
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`module_name`.
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Args:
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module_name: The name of the module (usually `__name__`).
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doc_string_modules: a list of modules from which to take docstring.
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If None, then a list containing only the module named `module_name` is used.
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Returns:
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A list suitable for use as `__all__`.
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"""
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if doc_string_modules is None:
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doc_string_modules = [_sys.modules[module_name]]
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cur_members = set([name for name, _
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in _tf_inspect.getmembers(_sys.modules[module_name])])
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results = set()
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for doc_module in doc_string_modules:
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results.update([m.group(1)
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for m in _reference_pattern.finditer(doc_module.__doc__)
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if m.group(1) in cur_members])
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return list(results)
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# Hidden attributes are attributes that have been hidden by
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# `remove_undocumented`. They can be re-instated by `reveal_undocumented`.
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# This maps symbol names to a tuple, containing:
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# (module object, attribute value)
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_HIDDEN_ATTRIBUTES = {}
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def reveal_undocumented(symbol_name, target_module=None):
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"""Reveals a symbol that was previously removed by `remove_undocumented`.
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This should be used by tensorflow internal tests only. It explicitly
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defeats the encapsulation afforded by `remove_undocumented`.
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It throws an exception when the symbol was not hidden in the first place.
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Args:
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symbol_name: a string representing the full absolute path of the symbol.
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target_module: if specified, the module in which to restore the symbol.
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"""
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if symbol_name not in _HIDDEN_ATTRIBUTES:
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raise LookupError('Symbol %s is not a hidden symbol' % symbol_name)
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symbol_basename = symbol_name.split('.')[-1]
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(original_module, attr_value) = _HIDDEN_ATTRIBUTES[symbol_name]
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if not target_module: target_module = original_module
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setattr(target_module, symbol_basename, attr_value)
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def remove_undocumented(module_name, allowed_exception_list=None,
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doc_string_modules=None):
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"""Removes symbols in a module that are not referenced by a docstring.
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Args:
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module_name: the name of the module (usually `__name__`).
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allowed_exception_list: a list of names that should not be removed.
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doc_string_modules: a list of modules from which to take the docstrings.
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If None, then a list containing only the module named `module_name` is used.
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Furthermore, if a symbol previously added with `add_to_global_whitelist`,
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then it will always be allowed. This is useful for internal tests.
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Returns:
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None
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"""
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current_symbols = set(dir(_sys.modules[module_name]))
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should_have = make_all(module_name, doc_string_modules)
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should_have += allowed_exception_list or []
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extra_symbols = current_symbols - set(should_have)
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target_module = _sys.modules[module_name]
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for extra_symbol in extra_symbols:
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# Skip over __file__, etc. Also preserves internal symbols.
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if extra_symbol.startswith('_'): continue
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fully_qualified_name = module_name + '.' + extra_symbol
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_HIDDEN_ATTRIBUTES[fully_qualified_name] = (target_module,
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getattr(target_module,
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extra_symbol))
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delattr(target_module, extra_symbol)
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__all__ = [
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'make_all',
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'remove_undocumented',
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'reveal_undocumented',
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]
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