Corrected docstrings using enumeration parameters

Converted things like Dither.FLOYDSTEINBERG to PIL.Image.Dither.FLOYDSTEINBERG to match other docstrings and to as that is the correct code
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hecent 2022-08-10 16:55:17 +01:00 committed by GitHub
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@ -892,12 +892,12 @@ class Image:
should be 4- or 12-tuple containing floating point values.
:param dither: Dithering method, used when converting from
mode "RGB" to "P" or from "RGB" or "L" to "1".
Available methods are :data:`Dither.NONE` or :data:`Dither.FLOYDSTEINBERG`
Available methods are :data:`PIL.Image.Dither.NONE` or :data:`PIL.Image.Dither.FLOYDSTEINBERG`
(default). Note that this is not used when ``matrix`` is supplied.
:param palette: Palette to use when converting from mode "RGB"
to "P". Available palettes are :data:`Palette.WEB` or
:data:`Palette.ADAPTIVE`.
:param colors: Number of colors to use for the :data:`Palette.ADAPTIVE`
to "P". Available palettes are :data:`PIL.Image.Palette.WEB` or
:data:`PIL.Image.Palette.ADAPTIVE`.
:param colors: Number of colors to use for the :data:`PIL.Image.Palette.ADAPTIVE`
palette. Defaults to 256.
:rtype: :py:class:`~PIL.Image.Image`
:returns: An :py:class:`~PIL.Image.Image` object.
@ -1078,24 +1078,24 @@ class Image:
of colors.
:param colors: The desired number of colors, <= 256
:param method: :data:`Quantize.MEDIANCUT` (median cut),
:data:`Quantize.MAXCOVERAGE` (maximum coverage),
:data:`Quantize.FASTOCTREE` (fast octree),
:data:`Quantize.LIBIMAGEQUANT` (libimagequant; check support
:param method: :data:`PIL.Image.Quantize.MEDIANCUT` (median cut),
:data:`PIL.Image.Quantize.MAXCOVERAGE` (maximum coverage),
:data:`PIL.Image.Quantize.FASTOCTREE` (fast octree),
:data:`PIL.Image.Quantize.LIBIMAGEQUANT` (libimagequant; check support
using :py:func:`PIL.features.check_feature` with
``feature="libimagequant"``).
By default, :data:`Quantize.MEDIANCUT` will be used.
By default, :data:`PIL.Image.Quantize.MEDIANCUT` will be used.
The exception to this is RGBA images. :data:`Quantize.MEDIANCUT`
and :data:`Quantize.MAXCOVERAGE` do not support RGBA images, so
:data:`Quantize.FASTOCTREE` is used by default instead.
The exception to this is RGBA images. :data:`PIL.Image.Quantize.MEDIANCUT`
and :data:`PIL.Image.Quantize.MAXCOVERAGE` do not support RGBA images, so
:data:`PIL.Image.Quantize.FASTOCTREE` is used by default instead.
:param kmeans: Integer
:param palette: Quantize to the palette of given
:py:class:`PIL.Image.Image`.
:param dither: Dithering method, used when converting from
mode "RGB" to "P" or from "RGB" or "L" to "1".
Available methods are :data:`Dither.NONE` or :data:`Dither.FLOYDSTEINBERG`
Available methods are :data:`PIL.Image.Dither.NONE` or :data:`PIL.Image.Dither.FLOYDSTEINBERG`
(default).
:returns: A new image