colour.CorrespondingChromaticitiesPrediction

class colour.CorrespondingChromaticitiesPrediction(name: int, uv_t: NDArrayFloat, uv_m: NDArrayFloat, uv_p: NDArrayFloat)

Define a chromatic adaptation model prediction for corresponding chromaticities.

Parameters:

• name (int) – Test colour name used to identify the prediction instance.

• uv_t (NDArrayFloat) – Chromaticity coordinates \(uv_t^p\) of the test colour under the test illuminant.

• uv_m (NDArrayFloat) – Chromaticity coordinates \(uv_m^p\) of the matching colour under the reference illuminant.

• uv_p (NDArrayFloat) – Chromaticity coordinates \(uv_p^p\) of the predicted colour as computed by the chromatic adaptation model.

__init__(name: int, uv_t: NDArrayFloat, uv_m: NDArrayFloat, uv_p: NDArrayFloat) → None

Parameters:

• name (int)

• uv_t (NDArrayFloat)

• uv_m (NDArrayFloat)

• uv_p (NDArrayFloat)

Return type:

None

Methods

__init__(name, uv_t, uv_m, uv_p)

Attributes

fields	Getter for the fields of the dataclass-like class.
items	Getter for the dataclass-like class items, i.e., the field names and values.
keys	Getter for the dataclass-like class keys, i.e., the field names.
values	Getter for the dataclass-like class field values.
name
uv_t
uv_m
uv_p