print(f'Creating testcase for invocation {invocation_id}')
    status = invocation_results['status']
    command = invocation_results.get('command')
    command_type = invocation_results.get('command_type')

    case_attrib = attrib.copy()
    if command_type:
      command_type = command_type.title()
      case_name = f'{command_type} invocation {invocation_id}'
    else:
      case_name = f' Invocation {invocation_id}'

        p.map(build_lang, langs)


@app.command()
def update_languages() -> None:
    """
    Update the mkdocs.yml file Languages section including all the available languages.
    """
    update_config()


@app.command()
def serve() -> None:
    """
    A quick server to preview a built site with translations.

    For development, prefer the command live (or just mkdocs serve).

"""
Top-level module of TensorFlow. By convention, we refer to this module as
`tf` instead of `tensorflow`, following the common practice of importing
TensorFlow via the command `import tensorflow as tf`.

The primary function of this module is to import all of the public TensorFlow
interfaces into a single place. The interfaces themselves are located in
sub-modules, as described below.

  system_specific_test_config(environ_cp)

  configure_ios(environ_cp)

  print('Preconfigured Bazel build configs. You can use any of the below by '
        'adding "--config=<>" to your build command. See .bazelrc for more '
        'details.')
  config_info_line('mkl', 'Build with MKL support.')
  config_info_line(
      'mkl_aarch64',