Upgrade Python syntax with pyupgrade

This commit is contained in:
Hugo van Kemenade 2024-06-29 23:05:25 +03:00
parent 6879a77a6f
commit 49b218bbb1
22 changed files with 42 additions and 35 deletions

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@ -11,9 +11,10 @@ import subprocess
import sys
import sysconfig
import tempfile
from collections.abc import Sequence
from functools import lru_cache
from io import BytesIO
from typing import Any, Callable, Sequence
from typing import Any, Callable
import pytest
from packaging.version import parse as parse_version

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@ -385,9 +385,10 @@ def test_timeout(test_file: str) -> None:
def test_bounding_box_in_trailer() -> None:
# Check bounding boxes are parsed in the same way
# when specified in the header and the trailer
with Image.open("Tests/images/zero_bb_trailer.eps") as trailer_image, Image.open(
FILE1
) as header_image:
with (
Image.open("Tests/images/zero_bb_trailer.eps") as trailer_image,
Image.open(FILE1) as header_image,
):
assert trailer_image.size == header_image.size

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@ -1,9 +1,9 @@
from __future__ import annotations
import warnings
from collections.abc import Generator
from io import BytesIO
from pathlib import Path
from typing import Generator
import pytest

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@ -5,8 +5,9 @@ import os
import os.path
import tempfile
import time
from collections.abc import Generator
from pathlib import Path
from typing import Any, Generator
from typing import Any
import pytest

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@ -2,10 +2,10 @@ from __future__ import annotations
import os
import warnings
from collections.abc import Generator
from io import BytesIO
from pathlib import Path
from types import ModuleType
from typing import Generator
import pytest

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@ -1,7 +1,7 @@
from __future__ import annotations
from collections.abc import Generator
from contextlib import contextmanager
from typing import Generator
import pytest

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@ -4,9 +4,9 @@ Tests for resize functionality.
from __future__ import annotations
from collections.abc import Generator
from itertools import permutations
from pathlib import Path
from typing import Generator
import pytest

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@ -2,7 +2,7 @@ from __future__ import annotations
import contextlib
import os.path
from typing import Sequence
from collections.abc import Sequence
import pytest

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@ -1,6 +1,6 @@
from __future__ import annotations
from typing import Generator
from collections.abc import Generator
import pytest

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@ -3,7 +3,7 @@ from __future__ import annotations
import array
import math
import struct
from typing import Sequence
from collections.abc import Sequence
import pytest

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@ -32,7 +32,7 @@ import subprocess
import sys
from enum import IntEnum
from functools import cached_property
from typing import IO, TYPE_CHECKING, Any, List, Literal, NamedTuple, Union
from typing import IO, TYPE_CHECKING, Any, Literal, NamedTuple, Union
from . import (
Image,
@ -504,7 +504,7 @@ def _normalize_mode(im: Image.Image) -> Image.Image:
return im.convert("L")
_Palette = Union[bytes, bytearray, List[int], ImagePalette.ImagePalette]
_Palette = Union[bytes, bytearray, list[int], ImagePalette.ImagePalette]
def _normalize_palette(

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@ -38,7 +38,7 @@ import struct
import sys
import tempfile
import warnings
from collections.abc import Callable, MutableMapping
from collections.abc import Callable, MutableMapping, Sequence
from enum import IntEnum
from types import ModuleType
from typing import (
@ -47,8 +47,6 @@ from typing import (
Any,
Literal,
Protocol,
Sequence,
Tuple,
cast,
)
@ -1097,7 +1095,7 @@ class Image:
if trns is not None:
try:
new_im.info["transparency"] = new_im.palette.getcolor(
cast(Tuple[int, ...], trns), # trns was converted to RGB
cast(tuple[int, ...], trns), # trns was converted to RGB
new_im,
)
except Exception:
@ -3067,7 +3065,7 @@ def new(
and isinstance(color, (list, tuple))
and all(isinstance(i, int) for i in color)
):
color_ints: tuple[int, ...] = cast(Tuple[int, ...], tuple(color))
color_ints: tuple[int, ...] = cast(tuple[int, ...], tuple(color))
if len(color_ints) == 3 or len(color_ints) == 4:
# RGB or RGBA value for a P image
from . import ImagePalette

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@ -34,8 +34,9 @@ from __future__ import annotations
import math
import numbers
import struct
from collections.abc import Sequence
from types import ModuleType
from typing import TYPE_CHECKING, AnyStr, Callable, List, Sequence, Tuple, Union, cast
from typing import TYPE_CHECKING, AnyStr, Callable, Union, cast
from . import Image, ImageColor
from ._deprecate import deprecate
@ -51,7 +52,7 @@ except AttributeError:
if TYPE_CHECKING:
from . import ImageDraw2, ImageFont
_Ink = Union[float, Tuple[int, ...], str]
_Ink = Union[float, tuple[int, ...], str]
"""
A simple 2D drawing interface for PIL images.
@ -1124,7 +1125,7 @@ def _compute_regular_polygon_vertices(
msg = "bounding_circle should only contain numeric data"
raise ValueError(msg)
*centroid, polygon_radius = cast(List[float], list(bounding_circle))
*centroid, polygon_radius = cast(list[float], list(bounding_circle))
elif len(bounding_circle) == 2 and isinstance(bounding_circle[0], (list, tuple)):
if not all(
isinstance(i, (int, float)) for i in bounding_circle[0]
@ -1136,7 +1137,7 @@ def _compute_regular_polygon_vertices(
msg = "bounding_circle centre should contain 2D coordinates (e.g. (x, y))"
raise ValueError(msg)
centroid = cast(List[float], list(bounding_circle[0]))
centroid = cast(list[float], list(bounding_circle[0]))
polygon_radius = cast(float, bounding_circle[1])
else:
msg = (

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@ -18,8 +18,9 @@ from __future__ import annotations
import abc
import functools
from collections.abc import Sequence
from types import ModuleType
from typing import TYPE_CHECKING, Any, Callable, Sequence, cast
from typing import TYPE_CHECKING, Any, Callable, cast
if TYPE_CHECKING:
from . import _imaging

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@ -21,7 +21,8 @@ from __future__ import annotations
import functools
import operator
import re
from typing import Protocol, Sequence, cast
from collections.abc import Sequence
from typing import Protocol, cast
from . import ExifTags, Image, ImagePalette

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@ -18,7 +18,8 @@
from __future__ import annotations
import array
from typing import IO, TYPE_CHECKING, Sequence
from collections.abc import Sequence
from typing import IO, TYPE_CHECKING
from . import GimpGradientFile, GimpPaletteFile, ImageColor, PaletteFile

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@ -14,7 +14,8 @@
#
from __future__ import annotations
from typing import Any, Sequence
from collections.abc import Sequence
from typing import Any
from . import Image

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@ -16,8 +16,8 @@
#
from __future__ import annotations
from collections.abc import Sequence
from io import BytesIO
from typing import Sequence
from . import Image, ImageFile
from ._binary import i16be as i16

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@ -18,7 +18,7 @@ from __future__ import annotations
import io
import os
import struct
from typing import IO, Tuple, cast
from typing import IO, cast
from . import Image, ImageFile, ImagePalette, _binary
@ -82,7 +82,7 @@ class BoxReader:
self.remaining_in_box = -1
# Read the length and type of the next box
lbox, tbox = cast(Tuple[int, bytes], self.read_fields(">I4s"))
lbox, tbox = cast(tuple[int, bytes], self.read_fields(">I4s"))
if lbox == 1:
lbox = cast(int, self.read_fields(">Q")[0])
hlen = 16

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@ -8,7 +8,7 @@ import os
import re
import time
import zlib
from typing import TYPE_CHECKING, Any, List, NamedTuple, Union
from typing import TYPE_CHECKING, Any, NamedTuple, Union
# see 7.9.2.2 Text String Type on page 86 and D.3 PDFDocEncoding Character Set
@ -240,7 +240,7 @@ class PdfName:
return bytes(result)
class PdfArray(List[Any]):
class PdfArray(list[Any]):
def __bytes__(self) -> bytes:
return b"[ " + b" ".join(pdf_repr(x) for x in self) + b" ]"

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@ -37,7 +37,7 @@ from __future__ import annotations
import os
import struct
import sys
from typing import IO, TYPE_CHECKING, Any, Tuple, cast
from typing import IO, TYPE_CHECKING, Any, cast
from . import Image, ImageFile
@ -187,7 +187,7 @@ class SpiderImageFile(ImageFile.ImageFile):
def convert2byte(self, depth: int = 255) -> Image.Image:
extrema = self.getextrema()
assert isinstance(extrema[0], float)
minimum, maximum = cast(Tuple[float, float], extrema)
minimum, maximum = cast(tuple[float, float], extrema)
m: float = 1
if maximum != minimum:
m = depth / (maximum - minimum)

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@ -2,7 +2,8 @@ from __future__ import annotations
import os
import sys
from typing import Any, Protocol, Sequence, TypeVar, Union
from collections.abc import Sequence
from typing import Any, Protocol, TypeVar, Union
try:
import numpy.typing as npt