except ImportError:
          logging.exception("error importing %s", short_package_name)
          failed_packages.append(package_name)

    if failed_packages:
      self.fail(
          "Failed to import"
          f" {len(failed_packages)}/{len(self.api_packages_v2)} packages"
          f" {version}:\n{failed_packages}"
      )
    logging.info("Import of packages was successful.")


if __name__ == "__main__":

FAILED_BUILD_LINE = 'FAILED: Build did NOT complete successfully'
BUILD_STATUS_LINE = 'INFO: Build'
TESTS_FAILED_RE = re.compile(r'^INFO: Build completed, \d+ tests? FAILED')
BAZEL_COMMAND_RE = re.compile(
    r'(^| )(?P<command>bazel (.*? )?(?P<type>test|build) .+)')


class InvokeStatus:
  tests_failed = 'tests_failed'
  build_failed = 'build_failed'
  passed = 'passed'

                        authId: oauth2.auth.name,
                        source: "auth",
                        level: "error",
                        message: oauthErrorMsg || "[Authorization failed]: no accessCode received from the server."
                    });
                }
            } else {
                oauth2.callback({auth: oauth2.auth, token: qp, isValid: isValid, redirectUrl: redirectUrl});

    This is useful when we use ConstrainedDecimal to represent Numeric(x,0)
    where a integer (but not int typed) is used. Encoding this as a float
    results in failed round-tripping between encode and parse.
    Our Id type is a prime example of this.

    >>> decimal_encoder(Decimal("1.0"))
    1.0

    >>> decimal_encoder(Decimal("1"))
    1
    """

  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]
  p.text += f"\nNOTE: Number of failures for this test: {seen[key]}."

    def openapi(self) -> Dict[str, Any]:
        """
        Generate the OpenAPI schema of the application. This is called by FastAPI
        internally.

        The first time it is called it stores the result in the attribute
        `app.openapi_schema`, and next times it is called, it just returns that same
        result. To avoid the cost of generating the schema every time.

    from fastapi import BackgroundTasks, FastAPI

    app = FastAPI()


    def write_notification(email: str, message=""):
        with open("log.txt", mode="w") as email_file:
            content = f"notification for {email}: {message}"
            email_file.write(content)


    @app.post("/send-notification/{email}")
    async def send_notification(email: str, background_tasks: BackgroundTasks):

            field.field_info.annotation
        ) and not isinstance(field.field_info, params.Body)

    def is_sequence_field(field: ModelField) -> bool:
        return field_annotation_is_sequence(field.field_info.annotation)

    def is_scalar_sequence_field(field: ModelField) -> bool:
        return field_annotation_is_scalar_sequence(field.field_info.annotation)

            # By being a new field, no inheritance will be passed as is. A new model
            # will always be created.
            # TODO: remove when deprecating Pydantic v1
            self.secure_cloned_response_field: Optional[
                ModelField
            ] = create_cloned_field(self.response_field)
        else:
            self.response_field = None  # type: ignore

            """
            'Whitelist' validation step. The parameter field will be the single one
            allowed by the alias or set of aliases defined.
            """
        ),
    ] = None,
    serialization_alias: Annotated[
        Union[str, None],
        Doc(
            """
            'Blacklist' validation step. The vanilla parameter field will be the