interfaces into a single place. The interfaces themselves are located in
sub-modules, as described below.

Note that the file `__init__.py` in the TensorFlow source code tree is actually
only a placeholder to enable test cases to run. The TensorFlow build replaces
this file with a file generated from [`api_template.__init__.py`](https://www.github.com/tensorflow/tensorflow/blob/master/tensorflow/api_template.__init__.py)
"""

      case_name = f'{command_type} invocation {invocation_id}'
    else:
      case_name = f' Invocation {invocation_id}'
    case_attrib.update({'name': case_name,
                        'status': 'run', 'result': 'completed'})

    testcase = ElemTree.SubElement(testsuite, 'testcase', attrib=case_attrib)
    if status in (InvokeStatus.tests_failed, InvokeStatus.build_failed):
      if status == InvokeStatus.tests_failed:

        " the file."
    )
  n_failures = seen[key]
  p.text += f"\nNOTE: Number of failures for this test: {seen[key]}."
  p.text += "\n      Most TF jobs run tests three times to root out flakes."
  if seen[key] == 3:
    p.text += (
        "\n      Since there were three failures, this is not flaky, and it"
    )

  try:
    stderr = open(os.devnull, 'wb')
    library_paths = run_shell([
        python_bin_path, '-c',
        'import site; print("\\n".join(site.getsitepackages()))'
    ],
                              stderr=stderr).split('\n')
  except subprocess.CalledProcessError:
    library_paths = [
        run_shell([
            python_bin_path, '-c',

The `_api/v2/api_packages.txt` file is created during the process of generating
TensorFlow API v2 init files and is stored in the wheel file after the build.

See README.md file for "how to run" instruction.
"""

import logging
import unittest
import pkg_resources

logging.basicConfig(level=logging.INFO)


class ImportApiPackagesTest(unittest.TestCase):