Syntax of comments depends on the language of the code block.
    Raises ValueError if the blocks are not compatible (different languages or different number of lines).
    """

    start_line = block_a["start_line_no"]
    end_line_no = start_line + len(block_a["content"]) - 1

    if block_a["lang"] != block_b["lang"]:
        raise ValueError(
            f"Code block (lines {start_line}-{end_line_no}) "

        return await super().close()

    @classmethod
    def _validate(cls, __input_value: Any, _: Any) -> "UploadFile":
        if not isinstance(__input_value, StarletteUploadFile):
            raise ValueError(f"Expected UploadFile, received: {type(__input_value)}")
        return cast(UploadFile, __input_value)

    @classmethod
    def __get_pydantic_json_schema__(

                raise self.make_not_authenticated_error()
            else:
                return None
        try:
            data = b64decode(param).decode("ascii")
        except (ValueError, UnicodeDecodeError, binascii.Error) as e:
            raise self.make_not_authenticated_error() from e
        username, separator, password = data.partition(":")
        if not separator:

    except Exception as e:
        errors: list[Exception] = []
        errors.append(e)
        try:
            data = vars(obj)
        except Exception as e:
            errors.append(e)
            raise ValueError(errors) from e
    return jsonable_encoder(
        data,
        include=include,
        exclude=exclude,
        by_alias=by_alias,
        exclude_unset=exclude_unset,

                lang_code=language,
                auto_fix=False,
                path=str(out_path),
            )
            break  # Exit loop if no errors
        except ValueError as e:
            print(
                f"Translation check failed on attempt {attempt_no}/{MAX_ATTEMPTS}: {e}"
            )
            continue  # Retry if not reached max attempts

    *   Add a Nearest Neighbor Resize op.
    *   Add an `ignore_unknown` argument to `parse_values` which suppresses
        ValueError for unknown hyperparameter types. Such * Add
        `tf.linalg.matvec` convenience function.
    *   `tf.einsum()`raises `ValueError` for unsupported equations like
        `"ii->"`.
    *   Add DCT-I and IDCT-I in `tf.signal.dct` and `tf.signal.idct`.
    *   Add LU decomposition op.