Pillow/Tests/test_image_thumbnail.py
Hugo van Kemenade 53c3cd9f8e isort Tests
2024-01-20 13:23:03 +02:00

168 lines
4.8 KiB
Python

from __future__ import annotations
import pytest
from PIL import Image
from .helper import (
assert_image_equal,
assert_image_similar,
fromstring,
hopper,
skip_unless_feature,
tostring,
)
def test_sanity():
im = hopper()
assert im.thumbnail((100, 100)) is None
assert im.size == (100, 100)
def test_aspect():
im = Image.new("L", (128, 128))
im.thumbnail((100, 100))
assert im.size == (100, 100)
im = Image.new("L", (128, 256))
im.thumbnail((100, 100))
assert im.size == (50, 100)
im = Image.new("L", (128, 256))
im.thumbnail((50, 100))
assert im.size == (50, 100)
im = Image.new("L", (256, 128))
im.thumbnail((100, 100))
assert im.size == (100, 50)
im = Image.new("L", (256, 128))
im.thumbnail((100, 50))
assert im.size == (100, 50)
im = Image.new("L", (64, 64))
im.thumbnail((100, 100))
assert im.size == (64, 64)
im = Image.new("L", (256, 162)) # ratio is 1.5802469136
im.thumbnail((33, 33))
assert im.size == (33, 21) # ratio is 1.5714285714
im = Image.new("L", (162, 256)) # ratio is 0.6328125
im.thumbnail((33, 33))
assert im.size == (21, 33) # ratio is 0.6363636364
im = Image.new("L", (145, 100)) # ratio is 1.45
im.thumbnail((50, 50))
assert im.size == (50, 34) # ratio is 1.47058823529
im = Image.new("L", (100, 145)) # ratio is 0.689655172414
im.thumbnail((50, 50))
assert im.size == (34, 50) # ratio is 0.68
im = Image.new("L", (100, 30)) # ratio is 3.333333333333
im.thumbnail((75, 75))
assert im.size == (75, 23) # ratio is 3.260869565217
def test_division_by_zero():
im = Image.new("L", (200, 2))
im.thumbnail((75, 75))
assert im.size == (75, 1)
def test_float():
im = Image.new("L", (128, 128))
im.thumbnail((99.9, 99.9))
assert im.size == (99, 99)
def test_no_resize():
# Check that draft() can resize the image to the destination size
with Image.open("Tests/images/hopper.jpg") as im:
im.draft(None, (64, 64))
assert im.size == (64, 64)
# Test thumbnail(), where only draft() is necessary to resize the image
with Image.open("Tests/images/hopper.jpg") as im:
im.thumbnail((64, 64))
assert im.size == (64, 64)
@skip_unless_feature("libtiff")
def test_load_first():
# load() may change the size of the image
# Test that thumbnail() is calling it before performing size calculations
with Image.open("Tests/images/g4_orientation_5.tif") as im:
im.thumbnail((64, 64))
assert im.size == (64, 10)
# Test thumbnail(), without draft(),
# on an image that is large enough once load() has changed the size
with Image.open("Tests/images/g4_orientation_5.tif") as im:
im.thumbnail((590, 88), reducing_gap=None)
assert im.size == (590, 88)
def test_load_first_unless_jpeg():
# Test that thumbnail() still uses draft() for JPEG
with Image.open("Tests/images/hopper.jpg") as im:
draft = im.draft
def im_draft(mode, size):
result = draft(mode, size)
assert result is not None
return result
im.draft = im_draft
im.thumbnail((64, 64))
# valgrind test is failing with memory allocated in libjpeg
@pytest.mark.valgrind_known_error(reason="Known Failing")
def test_DCT_scaling_edges():
# Make an image with red borders and size (N * 8) + 1 to cross DCT grid
im = Image.new("RGB", (257, 257), "red")
im.paste(Image.new("RGB", (235, 235)), (11, 11))
thumb = fromstring(tostring(im, "JPEG", quality=99, subsampling=0))
# small reducing_gap to amplify the effect
thumb.thumbnail((32, 32), Image.Resampling.BICUBIC, reducing_gap=1.0)
ref = im.resize((32, 32), Image.Resampling.BICUBIC)
# This is still JPEG, some error is present. Without the fix it is 11.5
assert_image_similar(thumb, ref, 1.5)
def test_reducing_gap_values():
im = hopper()
im.thumbnail((18, 18), Image.Resampling.BICUBIC)
ref = hopper()
ref.thumbnail((18, 18), Image.Resampling.BICUBIC, reducing_gap=2.0)
# reducing_gap=2.0 should be the default
assert_image_equal(ref, im)
ref = hopper()
ref.thumbnail((18, 18), Image.Resampling.BICUBIC, reducing_gap=None)
with pytest.raises(pytest.fail.Exception):
assert_image_equal(ref, im)
assert_image_similar(ref, im, 3.5)
def test_reducing_gap_for_DCT_scaling():
with Image.open("Tests/images/hopper.jpg") as ref:
# thumbnail should call draft with reducing_gap scale
ref.draft(None, (18 * 3, 18 * 3))
ref = ref.resize((18, 18), Image.Resampling.BICUBIC)
with Image.open("Tests/images/hopper.jpg") as im:
im.thumbnail((18, 18), Image.Resampling.BICUBIC, reducing_gap=3.0)
assert_image_similar(ref, im, 1.4)