DC_CONTENT_TYPE

Return a String containing the type of the input DataContainer's content. Must use the TEXT_VIEW block to view the text. Params: default : DataContainer The input DataContainer to check the content type. Returns: out : DataContainer String: Type of the input DataContainer's content (e.g. float)

Python Code

from flojoy import DataContainer, String, flojoy


@flojoy()
def DC_CONTENT_TYPE(
    default: DataContainer,
) -> String:
    """Return a String containing the type of the input DataContainer's content.

    Must use the TEXT_VIEW block to view the text.

    Parameters
    ----------
    default : DataContainer
        The input DataContainer to check the content type.

    Returns
    -------
    DataContainer
        String: Type of the input DataContainer's content (e.g. float)
    """

    dc_type = str(default.type)

    match dc_type:
        case "OrderedPair":
            s = f"x: {type(default.x)}, \ny: {type(default.y)}"
        case "OrderedTriple":
            s = f"x: {type(default.x)}, \ny: {type(default.y)}, \nz: {type(default.z)}"
        case "Surface":
            s = f"x: {type(default.x)}, \ny: {type(default.y)}, \nz: {type(default.z)}"
        case "Vector":
            s = f"v: {type(default.v)}"
        case "Matrix":
            s = f"m: {type(default.m)}"
        case "Grayscale":
            s = f"m: {type(default.m)}"
        case "DataFrame":
            s = f"m: {type(default.m)}"
        case "Scalar":
            s = f"c: {type(default.c)}"
        case "Image":
            s = f"r: {type(default.r)}, \ng: {type(default.g)}, \nb: {type(default.b)}"
        case "String":
            s = f"s: {type(default.s)}"
        case _:
            raise TypeError(
                f"Unsupported DC type {dc_type}. Please add it to the node."
            )

    return String(s=s)

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