# to tensorflow/ which does have these two directories.

try:
  del python
except NameError:
  pass
try:
  del core
except NameError:
  pass
try:
  del compiler
except NameError:
  pass

    schema_: Optional[Union[Schema, Reference]] = Field(default=None, alias="schema")
    example: Optional[Any] = None
    examples: Optional[Dict[str, Union[Example, Reference]]] = None
    # Serialization rules for more complex scenarios
    content: Optional[Dict[str, MediaType]] = None


class Parameter(ParameterBase):
    name: str
    in_: ParameterInType = Field(alias="in")


class Header(ParameterBase):
    pass

            print(datadiff.diff(s0, s1, fromfile=args.orig, tofile=args.new))

    return changed + len(added) + len(removed)


def main(args):
    return compare(args)


def get_parser():
    parser = argparse.ArgumentParser(
        description="Compare kubernetes yaml files")

    parser.add_argument("orig")
    parser.add_argument("new")

        return any(field_annotation_is_complex(arg) for arg in get_args(annotation))

    return (
        _annotation_is_complex(annotation)
        or _annotation_is_complex(origin)
        or hasattr(origin, "__pydantic_core_schema__")
        or hasattr(origin, "__get_pydantic_core_schema__")
    )


def field_annotation_is_scalar(annotation: Any) -> bool: