colour.utilities.from_range_int

colour.utilities.from_range_int(a, bit_depth=8, dtype=<class 'numpy.float64'>)[source]

Scales given array \(a\) from int range. The behaviour is as follows:

  • If Colour domain-range scale is ‘Reference’, the definition is entirely by-passed.
  • If Colour domain-range scale is ‘1’, array \(a\) is converted to np.ndarray and divided by \(2^{bit\_depth} - 1\).
  • If Colour domain-range scale is ‘100’ (currently unsupported private value only used for unit tests), array \(a\) is converted to np.ndarray and divided by \(2^{bit\_depth} - 1\).
Parameters:
  • a (array_like) – \(a\) to scale from int range.
  • bit_depth (numeric or array_like, optional) – Bit depth, usually int but can be an array_like if some axis need different scaling to be brought from int range.
  • dtype (object, optional) – Data type used for the conversion to np.ndarray.
Returns:

\(a\) scaled from int range.
Return type:

ndarray

Notes

  • To avoid precision issues and rounding, the scaling is performed on floating-point numbers.

Examples

With Colour domain-range scale set to ‘Reference’:

>>> with domain_range_scale('Reference'):
...     from_range_int(1)
1

With Colour domain-range scale set to ‘1’:

>>> with domain_range_scale('1'):
...     from_range_int(1)  # doctest: +ELLIPSIS
array(0.0039215...)

With Colour domain-range scale set to ‘100’ (unsupported):

>>> with domain_range_scale('100'):
...     from_range_int(1)  # doctest: +ELLIPSIS
array(0.3921568...)