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tensorflow / purelib / tensorflow / tools / compatibility / tf_upgrade_v2_safety.py
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# Copyright 2019 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.
# ==============================================================================
"""Upgrader for Python scripts from 1.* to 2.0 TensorFlow using SAFETY mode."""

from __future__ import absolute_import
from __future__ import division
from __future__ import print_function

from tensorflow.tools.compatibility import ast_edits
from tensorflow.tools.compatibility import module_deprecations_v2


class TFAPIChangeSpec(ast_edits.APIChangeSpec):
  """List of maps that describe what changed in the API."""

  def __init__(self):
    self.function_keyword_renames = {}
    self.symbol_renames = {}
    self.change_to_function = {}
    self.function_reorders = {}
    self.function_warnings = {}
    self.function_transformers = {}
    self.module_deprecations = module_deprecations_v2.MODULE_DEPRECATIONS

    # List module renames. Right now, we just support renames from a module
    # names that don't contain '.'.
    self.import_renames = {
        "tensorflow": ast_edits.ImportRename(
            "tensorflow.compat.v1",
            excluded_prefixes=["tensorflow.contrib",
                               "tensorflow.flags",
                               "tensorflow.compat.v1",
                               "tensorflow.compat.v2"])
    }

    # TODO(kaftan,annarev): specify replacement from TensorFlow import to
    # compat.v1 import.