"\nNOTE: This is a --config=pip test. Remove 'bazel_pip' to find"
        " 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"
    )

def get_top_users(
    *,
    counter: Counter,
    authors: Dict[str, Author],
    skip_users: Container[str],
    min_count: int = 2,
):
    users = []
    for commenter, count in counter.most_common(50):
        if commenter in skip_users:
            continue
        if count >= min_count:
            author = authors[commenter]
            users.append(
                {

                A state object for the application. This is the same object for the
                entire application, it doesn't change from request to request.

                You normally woudln't use this in FastAPI, for most of the cases you
                would instead use FastAPI dependencies.

                This is simply inherited from Starlette.

                Read more about it in the

        {
            "detail": [
                {
                    "type": "string_too_long",
                    "loc": ["path", "item_id"],
                    "msg": "String should have at most 3 characters",
                    "input": "foobar",
                    "ctx": {"max_length": 3},
                }
            ]
        }
    ) | IsDict(
        # TODO: remove when deprecating Pydantic v1

  # ROCm / CUDA are mutually exclusive.
  # At most 1 GPU platform can be configured.
  gpu_platform_count = 0
  if environ_cp.get('TF_NEED_ROCM') == '1':
    gpu_platform_count += 1
  if environ_cp.get('TF_NEED_CUDA') == '1':
    gpu_platform_count += 1
  if gpu_platform_count >= 2:
    raise UserInputError('CUDA / ROCm are mututally exclusive. '
                         'At most 1 GPU platform can be configured.')