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# Copyright 2017 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.
# ==============================================================================
"""Annotations used by the static analyzer."""
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
from enum import Enum
class NoValue(Enum):
def __repr__(self):
return self.name
class NodeAnno(NoValue):
"""Additional annotations used by the static analyzer.
These are in addition to the basic annotations declared in anno.py.
"""
# Symbols
# These flags are boolean.
IS_LOCAL = 'Symbol is local to the function scope being analyzed.'
IS_PARAM = 'Symbol is a parameter to the function being analyzed.'
IS_MODIFIED_SINCE_ENTRY = (
'Symbol has been explicitly replaced in the current function scope.')
# Scopes
# Scopes are represented by objects of type activity.Scope.
ARGS_SCOPE = 'The scope for the argument list of a function call.'
COND_SCOPE = 'The scope for the test node of a conditional statement.'
BODY_SCOPE = (
'The scope for the main body of a statement (True branch for if '
'statements, main body for loops).')
ORELSE_SCOPE = (
'The scope for the orelse body of a statement (False branch for if '
'statements, orelse body for loops).')
# Type and Value annotations
# Type annotations are represented by objects of type type_info.Type.
STATIC_INFO = (
'The type or value information that should be asserted about the entity '
'referenced by the symbol holding this annotation, irrespective of the '
'execution context.')
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