key = re.sub(r"0x\w+", "", p.getparent().get("name", "")) + p.text
  p.text = runfiles_matcher.sub("[testroot]/", p.text)
  source_file = p.getparent().getparent().get("source_file", "")
  p.text += f"\nNOTE: From {source_file}"
  if "bazel_pip" in source_file:
    p.text += (
        "\nNOTE: This is a --config=pip test. Remove 'bazel_pip' to find"
        " the file."
    )
  n_failures = seen[key]

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

            first_child = new_children[0]
            if isinstance(first_child, Page):
                if first_child.file.src_path.endswith("index.md"):
                    # Read the source so that the title is parsed and available
                    first_child.read_source(config=config)
                    new_title = first_child.title or new_title
            # Creating a new section makes it render it collapsed by default

        cls, core_schema: CoreSchema, handler: GetJsonSchemaHandler
    ) -> JsonSchemaValue:
        return {"type": "string", "format": "binary"}

    @classmethod
    def __get_pydantic_core_schema__(
        cls, source: Type[Any], handler: Callable[[Any], CoreSchema]
    ) -> CoreSchema:
        return with_info_plain_validator_function(cls._validate)


class DefaultPlaceholder:
    """