content: #  Copyright (c) ZenML GmbH 2021. 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:
  #
  #       https://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.
  """Initialization for TensorFlow integration."""
  
  import platform
  import sys
  from typing import List, Optional
  from zenml.integrations.constants import TENSORFLOW
  from zenml.integrations.integration import Integration
  from zenml.logger import get_logger
  
  logger = get_logger(__name__)
  
  
  class TensorflowIntegration(Integration):
      """Definition of Tensorflow integration for ZenML."""
  
      NAME = TENSORFLOW
      REQUIREMENTS = []
      REQUIREMENTS_IGNORED_ON_UNINSTALL = ["typing-extensions"]
  
      @classmethod
      def activate(cls) -> None:
          """Activates the integration."""
          # need to import this explicitly to load the Tensorflow file IO support
          # for S3 and other file systems
          if not platform.system() == "Darwin" or not platform.machine() == "arm64":
              import tensorflow_io  # type: ignore
  
          from zenml.integrations.tensorflow import materializers  # noqa
  
      @classmethod
      def get_requirements(cls, target_os: Optional[str] = None, python_version: Optional[str] = None
      ) -> List[str]:
          """Defines platform specific requirements for the integration.
  
          Args:
              target_os: The target operating system.
              python_version: The Python version to use for the requirements.
  
          Returns:
              A list of requirements.
          """
          target_os = target_os or platform.system()
          if target_os == "Darwin" and platform.machine() == "arm64":
              requirements = [
                  "tensorflow-macos>=2.12,<2.15",
              ]
          else:
              requirements = [
                  "tensorflow>=2.12,<2.15",
                  "tensorflow_io>=0.24.0",
              ]
  
          return requirements
  
  