Module i2pp.core.transform_data

Transform data using a user-defined function.

Functions

def transform_data(elements: list[Element],
user_script_path: pathlib.Path,
user_function_name: str,
normalize: bool,
pixel_range: numpy.ndarray) ‑> Any

Expand source code

def transform_data(
    elements: list[Element],
    user_script_path: Path,
    user_function_name: str,
    normalize: bool,
    pixel_range: np.ndarray,
) -> Any:
    """Transforms element data using a user-defined function.

    Applies a user-defined transformation to the element values,
    optionally normalizing them beforehand.

    Arguments:
        elements (List[Element]): List of elements with IDs and data.
            The data of each element will be transformed.
        user_script_path (Path): Path to the user script containing the user-
            defined function.
        user_function_name (str): Name of the user-defined function to call.
        normalize (bool): Whether to normalize the element values before
            exporting.
        pixel_range (np.ndarray): Pixel range for normalization if enabled.

    Returns:
        Any: Transformed data result.
    """
    transformer = UserFunctionTransformer(
        normalize=normalize, pixel_range=pixel_range
    )
    return transformer.apply_transformation(
        elements, user_script_path, user_function_name
    )

Transforms element data using a user-defined function.

Applies a user-defined transformation to the element values, optionally normalizing them beforehand.

Arguments

elements (List[Element]): List of elements with IDs and data. The data of each element will be transformed. user_script_path (Path): Path to the user script containing the user- defined function. user_function_name (str): Name of the user-defined function to call. normalize (bool): Whether to normalize the element values before exporting. pixel_range (np.ndarray): Pixel range for normalization if enabled.

Returns

Any

Transformed data result.