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Added ImageType as alias for Image.Image

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This commit is contained in:
Andrew Murray 2023-12-26 13:09:31 +11:00
parent f8e65ecfe0
commit 42f31be95e
3 changed files with 45 additions and 33 deletions
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56
src/PIL/ImageChops.py
View File

@ -17,10 +17,10 @@
from __future__ import annotations
from . import Image
from . import Image, ImageType
def constant(image: Image.Image, value: int) -> Image.Image:
def constant(image: ImageType, value: int) -> ImageType:
"""Fill a channel with a given gray level.
:rtype: :py:class:`~PIL.Image.Image`
@ -29,7 +29,7 @@ def constant(image: Image.Image, value: int) -> Image.Image:
return Image.new("L", image.size, value)
def duplicate(image: Image.Image) -> Image.Image:
def duplicate(image: ImageType) -> ImageType:
"""Copy a channel. Alias for :py:meth:`PIL.Image.Image.copy`.
:rtype: :py:class:`~PIL.Image.Image`
@ -38,7 +38,7 @@ def duplicate(image: Image.Image) -> Image.Image:
return image.copy()
def invert(image: Image.Image) -> Image.Image:
def invert(image: ImageType) -> ImageType:
"""
Invert an image (channel). ::
@ -51,7 +51,7 @@ def invert(image: Image.Image) -> Image.Image:
return image._new(image.im.chop_invert())
def lighter(image1: Image.Image, image2: Image.Image) -> Image.Image:
def lighter(image1: ImageType, image2: ImageType) -> ImageType:
"""
Compares the two images, pixel by pixel, and returns a new image containing
the lighter values. ::
@ -66,7 +66,7 @@ def lighter(image1: Image.Image, image2: Image.Image) -> Image.Image:
return image1._new(image1.im.chop_lighter(image2.im))
def darker(image1: Image.Image, image2: Image.Image) -> Image.Image:
def darker(image1: ImageType, image2: ImageType) -> ImageType:
"""
Compares the two images, pixel by pixel, and returns a new image containing
the darker values. ::
@ -81,7 +81,7 @@ def darker(image1: Image.Image, image2: Image.Image) -> Image.Image:
return image1._new(image1.im.chop_darker(image2.im))
def difference(image1: Image.Image, image2: Image.Image) -> Image.Image:
def difference(image1: ImageType, image2: ImageType) -> ImageType:
"""
Returns the absolute value of the pixel-by-pixel difference between the two
images. ::
@ -96,7 +96,7 @@ def difference(image1: Image.Image, image2: Image.Image) -> Image.Image:
return image1._new(image1.im.chop_difference(image2.im))
def multiply(image1: Image.Image, image2: Image.Image) -> Image.Image:
def multiply(image1: ImageType, image2: ImageType) -> ImageType:
"""
Superimposes two images on top of each other.
@ -113,7 +113,7 @@ def multiply(image1: Image.Image, image2: Image.Image) -> Image.Image:
return image1._new(image1.im.chop_multiply(image2.im))
def screen(image1: Image.Image, image2: Image.Image) -> Image.Image:
def screen(image1: ImageType, image2: ImageType) -> ImageType:
"""
Superimposes two inverted images on top of each other. ::
@ -127,7 +127,7 @@ def screen(image1: Image.Image, image2: Image.Image) -> Image.Image:
return image1._new(image1.im.chop_screen(image2.im))
def soft_light(image1: Image.Image, image2: Image.Image) -> Image.Image:
def soft_light(image1: ImageType, image2: ImageType) -> ImageType:
"""
Superimposes two images on top of each other using the Soft Light algorithm
@ -139,7 +139,7 @@ def soft_light(image1: Image.Image, image2: Image.Image) -> Image.Image:
return image1._new(image1.im.chop_soft_light(image2.im))
def hard_light(image1: Image.Image, image2: Image.Image) -> Image.Image:
def hard_light(image1: ImageType, image2: ImageType) -> ImageType:
"""
Superimposes two images on top of each other using the Hard Light algorithm
@ -151,7 +151,7 @@ def hard_light(image1: Image.Image, image2: Image.Image) -> Image.Image:
return image1._new(image1.im.chop_hard_light(image2.im))
def overlay(image1: Image.Image, image2: Image.Image) -> Image.Image:
def overlay(image1: ImageType, image2: ImageType) -> ImageType:
"""
Superimposes two images on top of each other using the Overlay algorithm
@ -164,8 +164,11 @@ def overlay(image1: Image.Image, image2: Image.Image) -> Image.Image:
def add(
image1: Image.Image, image2: Image.Image, scale: float = 1.0, offset: float = 0
) -> Image.Image:
image1: ImageType,
image2: ImageType,
scale: float = 1.0,
offset: float = 0,
) -> ImageType:
"""
Adds two images, dividing the result by scale and adding the
offset. If omitted, scale defaults to 1.0, and offset to 0.0. ::
@ -181,8 +184,11 @@ def add(
def subtract(
image1: Image.Image, image2: Image.Image, scale: float = 1.0, offset: float = 0
) -> Image.Image:
image1: ImageType,
image2: ImageType,
scale: float = 1.0,
offset: float = 0,
) -> ImageType:
"""
Subtracts two images, dividing the result by scale and adding the offset.
If omitted, scale defaults to 1.0, and offset to 0.0. ::
@ -197,7 +203,7 @@ def subtract(
return image1._new(image1.im.chop_subtract(image2.im, scale, offset))
def add_modulo(image1: Image.Image, image2: Image.Image) -> Image.Image:
def add_modulo(image1: ImageType, image2: ImageType) -> ImageType:
"""Add two images, without clipping the result. ::
out = ((image1 + image2) % MAX)
@ -210,7 +216,7 @@ def add_modulo(image1: Image.Image, image2: Image.Image) -> Image.Image:
return image1._new(image1.im.chop_add_modulo(image2.im))
def subtract_modulo(image1: Image.Image, image2: Image.Image) -> Image.Image:
def subtract_modulo(image1: ImageType, image2: ImageType) -> ImageType:
"""Subtract two images, without clipping the result. ::
out = ((image1 - image2) % MAX)
@ -223,7 +229,7 @@ def subtract_modulo(image1: Image.Image, image2: Image.Image) -> Image.Image:
return image1._new(image1.im.chop_subtract_modulo(image2.im))
def logical_and(image1: Image.Image, image2: Image.Image) -> Image.Image:
def logical_and(image1: ImageType, image2: ImageType) -> ImageType:
"""Logical AND between two images.
Both of the images must have mode "1". If you would like to perform a
@ -241,7 +247,7 @@ def logical_and(image1: Image.Image, image2: Image.Image) -> Image.Image:
return image1._new(image1.im.chop_and(image2.im))
def logical_or(image1: Image.Image, image2: Image.Image) -> Image.Image:
def logical_or(image1: ImageType, image2: ImageType) -> ImageType:
"""Logical OR between two images.
Both of the images must have mode "1". ::
@ -256,7 +262,7 @@ def logical_or(image1: Image.Image, image2: Image.Image) -> Image.Image:
return image1._new(image1.im.chop_or(image2.im))
def logical_xor(image1: Image.Image, image2: Image.Image) -> Image.Image:
def logical_xor(image1: ImageType, image2: ImageType) -> ImageType:
"""Logical XOR between two images.
Both of the images must have mode "1". ::
@ -271,7 +277,7 @@ def logical_xor(image1: Image.Image, image2: Image.Image) -> Image.Image:
return image1._new(image1.im.chop_xor(image2.im))
def blend(image1: Image.Image, image2: Image.Image, alpha: float) -> Image.Image:
def blend(image1: ImageType, image2: ImageType, alpha: float) -> ImageType:
"""Blend images using constant transparency weight. Alias for
:py:func:`PIL.Image.blend`.
@ -281,9 +287,7 @@ def blend(image1: Image.Image, image2: Image.Image, alpha: float) -> Image.Image
return Image.blend(image1, image2, alpha)
def composite(
image1: Image.Image, image2: Image.Image, mask: Image.Image
) -> Image.Image:
def composite(image1: ImageType, image2: ImageType, mask: ImageType) -> ImageType:
"""Create composite using transparency mask. Alias for
:py:func:`PIL.Image.composite`.
@ -293,7 +297,7 @@ def composite(
return Image.composite(image1, image2, mask)
def offset(image: Image.Image, xoffset: int, yoffset: int | None = None) -> Image.Image:
def offset(image: ImageType, xoffset: int, yoffset: int | None = None) -> ImageType:
"""Returns a copy of the image where data has been offset by the given
distances. Data wraps around the edges. If ``yoffset`` is omitted, it
is assumed to be equal to ``xoffset``.

14
src/PIL/ImageSequence.py
View File

@ -18,7 +18,7 @@ from __future__ import annotations
from typing import Callable
from . import Image
from . import ImageType
class Iterator:
@ -33,14 +33,14 @@ class Iterator:
:param im: An image object.
"""
def __init__(self, im: Image.Image):
def __init__(self, im: ImageType):
if not hasattr(im, "seek"):
msg = "im must have seek method"
raise AttributeError(msg)
self.im = im
self.position = getattr(self.im, "_min_frame", 0)
def __getitem__(self, ix: int) -> Image.Image:
def __getitem__(self, ix: int) -> ImageType:
try:
self.im.seek(ix)
return self.im
@ -51,7 +51,7 @@ class Iterator:
def __iter__(self) -> Iterator:
return self
def __next__(self) -> Image.Image:
def __next__(self) -> ImageType:
try:
self.im.seek(self.position)
self.position += 1
@ -62,9 +62,9 @@ class Iterator:
def all_frames(
im: Image.Image | list[Image.Image],
func: Callable[[Image.Image], Image.Image] | None = None,
) -> list[Image.Image]:
im: ImageType | list[ImageType],
func: Callable[[ImageType], ImageType] | None = None,
) -> list[ImageType]:
"""
Applies a given function to all frames in an image or a list of images.
The frames are returned as a list of separate images.

8
src/PIL/__init__.py
View File

@ -83,3 +83,11 @@ class UnidentifiedImageError(OSError):
"""
pass
def __getattr__(name: str):
if name == "ImageType":
from . import Image
return Image.Image
raise AttributeError