1e2ca2e0bf
And add teardown to the test-suite so we can spot refleaks more easily.
658 lines
20 KiB
Python
658 lines
20 KiB
Python
# vim: set fileencoding=utf-8 :
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import math
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import pytest
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import pyvips
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from helpers import unsigned_formats, float_formats, noncomplex_formats, \
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all_formats, run_fn, run_image2, run_const, run_cmp, \
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assert_almost_equal_objects
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class TestArithmetic:
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def run_arith(self, fn, fmt=all_formats):
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[run_image2('%s image %s %s %s' % (fn.__name__, x, y, z),
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x.cast(y), x.cast(z), fn)
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for x in self.all_images for y in fmt for z in fmt]
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def run_arith_const(self, fn, fmt=all_formats):
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[run_const('%s scalar %s %s' % (fn.__name__, x, y),
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fn, x.cast(y), 2)
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for x in self.all_images for y in fmt]
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[run_const('%s vector %s' % (fn.__name__, y),
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fn, self.colour.cast(y), [1, 2, 3])
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for y in fmt]
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# run a function on an image,
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# 50,50 and 10,10 should have different values on the test image
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def run_imageunary(self, message, im, fn):
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run_cmp(message, im, 50, 50, lambda x: run_fn(fn, x))
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run_cmp(message, im, 10, 10, lambda x: run_fn(fn, x))
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def run_unary(self, images, fn, fmt=all_formats):
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[self.run_imageunary(fn.__name__ + ' image', x.cast(y), fn)
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for x in images for y in fmt]
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@classmethod
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def setup_class(cls):
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im = pyvips.Image.mask_ideal(100, 100, 0.5,
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reject=True, optical=True)
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cls.colour = im * [1, 2, 3] + [2, 3, 4]
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cls.mono = cls.colour.extract_band(1)
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cls.all_images = [cls.mono, cls.colour]
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@classmethod
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def teardown_class(cls):
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cls.colour = None
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cls.mono = None
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cls.all_images = None
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# test all operator overloads we define
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def test_add(self):
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def add(x, y):
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return x + y
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self.run_arith_const(add)
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self.run_arith(add)
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def test_sub(self):
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def sub(x, y):
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return x - y
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self.run_arith_const(sub)
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self.run_arith(sub)
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def test_mul(self):
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def mul(x, y):
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return x * y
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self.run_arith_const(mul)
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self.run_arith(mul)
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def test_div(self):
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def div(x, y):
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return x / y
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# (const / image) needs (image ** -1), which won't work for complex
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self.run_arith_const(div, fmt=noncomplex_formats)
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self.run_arith(div)
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def test_floordiv(self):
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def my_floordiv(x, y):
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return x // y
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# (const // image) needs (image ** -1), which won't work for complex
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self.run_arith_const(my_floordiv, fmt=noncomplex_formats)
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self.run_arith(my_floordiv, fmt=noncomplex_formats)
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def test_pow(self):
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def my_pow(x, y):
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return x ** y
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# (image ** x) won't work for complex images ... just test non-complex
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self.run_arith_const(my_pow, fmt=noncomplex_formats)
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self.run_arith(my_pow, fmt=noncomplex_formats)
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def test_and(self):
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def my_and(x, y):
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# python doesn't allow bools on float
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if isinstance(x, float):
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x = int(x)
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if isinstance(y, float):
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y = int(y)
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return x & y
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self.run_arith_const(my_and, fmt=noncomplex_formats)
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self.run_arith(my_and, fmt=noncomplex_formats)
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def test_or(self):
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def my_or(x, y):
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# python doesn't allow bools on float
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if isinstance(x, float):
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x = int(x)
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if isinstance(y, float):
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y = int(y)
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return x | y
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self.run_arith_const(my_or, fmt=noncomplex_formats)
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self.run_arith(my_or, fmt=noncomplex_formats)
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def test_xor(self):
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def my_xor(x, y):
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# python doesn't allow bools on float
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if isinstance(x, float):
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x = int(x)
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if isinstance(y, float):
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y = int(y)
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return x ^ y
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self.run_arith_const(my_xor, fmt=noncomplex_formats)
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self.run_arith(my_xor, fmt=noncomplex_formats)
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def test_more(self):
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def more(x, y):
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if isinstance(x, pyvips.Image) or isinstance(y, pyvips.Image):
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return x > y
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else:
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if x > y:
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return 255
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else:
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return 0
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self.run_arith_const(more)
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self.run_arith(more)
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def test_moreeq(self):
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def moreeq(x, y):
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if isinstance(x, pyvips.Image) or isinstance(y, pyvips.Image):
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return x >= y
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else:
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if x >= y:
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return 255
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else:
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return 0
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self.run_arith_const(moreeq)
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self.run_arith(moreeq)
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def test_less(self):
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def less(x, y):
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if isinstance(x, pyvips.Image) or isinstance(y, pyvips.Image):
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return x < y
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else:
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if x < y:
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return 255
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else:
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return 0
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self.run_arith_const(less)
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self.run_arith(less)
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def test_lesseq(self):
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def lesseq(x, y):
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if isinstance(x, pyvips.Image) or isinstance(y, pyvips.Image):
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return x <= y
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else:
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if x <= y:
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return 255
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else:
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return 0
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self.run_arith_const(lesseq)
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self.run_arith(lesseq)
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def test_equal(self):
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def equal(x, y):
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if isinstance(x, pyvips.Image) or isinstance(y, pyvips.Image):
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return x == y
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else:
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if x == y:
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return 255
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else:
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return 0
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self.run_arith_const(equal)
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self.run_arith(equal)
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def test_noteq(self):
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def noteq(x, y):
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if isinstance(x, pyvips.Image) or isinstance(y, pyvips.Image):
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return x != y
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else:
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if x != y:
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return 255
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else:
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return 0
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self.run_arith_const(noteq)
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self.run_arith(noteq)
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# comparisons against out of range values should always fail, and
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# comparisons to fractional values should always fail
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x = pyvips.Image.grey(256, 256, uchar=True)
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assert (x == 1000).max() == 0
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assert (x == 12).max() == 255
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assert (x == 12.5).max() == 0
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def test_abs(self):
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def my_abs(x):
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return abs(x)
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im = -self.colour
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self.run_unary([im], my_abs)
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def test_lshift(self):
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def my_lshift(x):
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# python doesn't allow float << int
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if isinstance(x, float):
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x = int(x)
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return x << 2
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# we don't support constant << image, treat as a unary
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self.run_unary(self.all_images, my_lshift, fmt=noncomplex_formats)
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def test_rshift(self):
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def my_rshift(x):
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# python doesn't allow float >> int
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if isinstance(x, float):
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x = int(x)
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return x >> 2
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# we don't support constant >> image, treat as a unary
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self.run_unary(self.all_images, my_rshift, fmt=noncomplex_formats)
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def test_mod(self):
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def my_mod(x):
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return x % 2
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# we don't support constant % image, treat as a unary
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self.run_unary(self.all_images, my_mod, fmt=noncomplex_formats)
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def test_pos(self):
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def my_pos(x):
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return +x
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self.run_unary(self.all_images, my_pos)
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def test_neg(self):
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def my_neg(x):
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return -x
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self.run_unary(self.all_images, my_neg)
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def test_invert(self):
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def my_invert(x):
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if isinstance(x, float):
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x = int(x)
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return ~x & 0xff
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# ~image is trimmed to image max so it's hard to test for all formats
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# just test uchar
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self.run_unary(self.all_images, my_invert,
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fmt=[pyvips.BandFormat.UCHAR])
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# test the rest of VipsArithmetic
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def test_avg(self):
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im = pyvips.Image.black(50, 100)
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test = im.insert(im + 100, 50, 0, expand=True)
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for fmt in all_formats:
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assert pytest.approx(test.cast(fmt).avg()) == 50
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def test_deviate(self):
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im = pyvips.Image.black(50, 100)
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test = im.insert(im + 100, 50, 0, expand=True)
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for fmt in noncomplex_formats:
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assert pytest.approx(test.cast(fmt).deviate(), abs=0.01) == 50
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def test_polar(self):
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im = pyvips.Image.black(100, 100) + 100
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im = im.complexform(im)
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im = im.polar()
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assert pytest.approx(im.real().avg()) == 100 * 2 ** 0.5
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assert pytest.approx(im.imag().avg()) == 45
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def test_rect(self):
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im = pyvips.Image.black(100, 100)
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im = (im + 100 * 2 ** 0.5).complexform(im + 45)
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im = im.rect()
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assert pytest.approx(im.real().avg()) == 100
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assert pytest.approx(im.imag().avg()) == 100
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def test_conjugate(self):
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im = pyvips.Image.black(100, 100) + 100
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im = im.complexform(im)
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im = im.conj()
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assert pytest.approx(im.real().avg()) == 100
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assert pytest.approx(im.imag().avg()) == -100
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def test_histfind(self):
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im = pyvips.Image.black(50, 100)
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test = im.insert(im + 10, 50, 0, expand=True)
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for fmt in all_formats:
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hist = test.cast(fmt).hist_find()
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assert_almost_equal_objects(hist(0, 0), [5000])
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assert_almost_equal_objects(hist(10, 0), [5000])
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assert_almost_equal_objects(hist(5, 0), [0])
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test = test * [1, 2, 3]
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for fmt in all_formats:
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hist = test.cast(fmt).hist_find(band=0)
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assert_almost_equal_objects(hist(0, 0), [5000])
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assert_almost_equal_objects(hist(10, 0), [5000])
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assert_almost_equal_objects(hist(5, 0), [0])
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hist = test.cast(fmt).hist_find(band=1)
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assert_almost_equal_objects(hist(0, 0), [5000])
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assert_almost_equal_objects(hist(20, 0), [5000])
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assert_almost_equal_objects(hist(5, 0), [0])
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def test_histfind_indexed(self):
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im = pyvips.Image.black(50, 100)
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test = im.insert(im + 10, 50, 0, expand=True)
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index = test // 10
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for x in noncomplex_formats:
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for y in [pyvips.BandFormat.UCHAR, pyvips.BandFormat.USHORT]:
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a = test.cast(x)
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b = index.cast(y)
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hist = a.hist_find_indexed(b)
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assert_almost_equal_objects(hist(0, 0), [0])
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assert_almost_equal_objects(hist(1, 0), [50000])
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def test_histfind_ndim(self):
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im = pyvips.Image.black(100, 100) + [1, 2, 3]
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for fmt in noncomplex_formats:
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hist = im.cast(fmt).hist_find_ndim()
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assert_almost_equal_objects(hist(0, 0)[0], 10000)
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assert_almost_equal_objects(hist(5, 5)[5], 0)
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hist = im.cast(fmt).hist_find_ndim(bins=1)
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assert_almost_equal_objects(hist(0, 0)[0], 10000)
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assert hist.width == 1
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assert hist.height == 1
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assert hist.bands == 1
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def test_hough_circle(self):
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test = pyvips.Image.black(100, 100).draw_circle(100, 50, 50, 40)
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for fmt in all_formats:
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im = test.cast(fmt)
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hough = im.hough_circle(min_radius=35, max_radius=45)
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v, x, y = hough.maxpos()
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vec = hough(x, y)
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r = vec.index(v) + 35
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assert pytest.approx(x) == 50
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assert pytest.approx(y) == 50
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assert pytest.approx(r) == 40
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@pytest.mark.skipif(not pyvips.base.at_least_libvips(8, 7),
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reason="requires libvips >= 8.7")
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def test_hough_line(self):
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# hough_line changed the way it codes parameter space in 8.7 ... don't
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# test earlier versions
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test = pyvips.Image.black(100, 100).draw_line(100, 10, 90, 90, 10)
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for fmt in all_formats:
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im = test.cast(fmt)
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hough = im.hough_line()
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v, x, y = hough.maxpos()
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angle = 180.0 * x // hough.width
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distance = test.height * y // hough.height
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assert pytest.approx(angle) == 45
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assert pytest.approx(distance) == 70
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def test_sin(self):
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def my_sin(x):
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if isinstance(x, pyvips.Image):
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return x.sin()
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else:
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return math.sin(math.radians(x))
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self.run_unary(self.all_images, my_sin, fmt=noncomplex_formats)
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def test_cos(self):
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def my_cos(x):
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if isinstance(x, pyvips.Image):
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return x.cos()
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else:
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return math.cos(math.radians(x))
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self.run_unary(self.all_images, my_cos, fmt=noncomplex_formats)
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def test_tan(self):
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def my_tan(x):
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if isinstance(x, pyvips.Image):
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return x.tan()
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else:
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return math.tan(math.radians(x))
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self.run_unary(self.all_images, my_tan, fmt=noncomplex_formats)
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def test_asin(self):
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def my_asin(x):
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if isinstance(x, pyvips.Image):
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return x.asin()
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else:
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return math.degrees(math.asin(x))
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im = (pyvips.Image.black(100, 100) + [1, 2, 3]) / 3.0
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self.run_unary([im], my_asin, fmt=noncomplex_formats)
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def test_acos(self):
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def my_acos(x):
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if isinstance(x, pyvips.Image):
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return x.acos()
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else:
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return math.degrees(math.acos(x))
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im = (pyvips.Image.black(100, 100) + [1, 2, 3]) / 3.0
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self.run_unary([im], my_acos, fmt=noncomplex_formats)
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def test_atan(self):
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def my_atan(x):
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if isinstance(x, pyvips.Image):
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return x.atan()
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else:
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return math.degrees(math.atan(x))
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im = (pyvips.Image.black(100, 100) + [1, 2, 3]) / 3.0
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self.run_unary([im], my_atan, fmt=noncomplex_formats)
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def test_log(self):
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def my_log(x):
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if isinstance(x, pyvips.Image):
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return x.log()
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else:
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return math.log(x)
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self.run_unary(self.all_images, my_log, fmt=noncomplex_formats)
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def test_log10(self):
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def my_log10(x):
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if isinstance(x, pyvips.Image):
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return x.log10()
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else:
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return math.log10(x)
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self.run_unary(self.all_images, my_log10, fmt=noncomplex_formats)
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def test_exp(self):
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def my_exp(x):
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if isinstance(x, pyvips.Image):
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return x.exp()
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else:
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return math.exp(x)
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self.run_unary(self.all_images, my_exp, fmt=noncomplex_formats)
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def test_exp10(self):
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def my_exp10(x):
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if isinstance(x, pyvips.Image):
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return x.exp10()
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else:
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return math.pow(10, x)
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self.run_unary(self.all_images, my_exp10, fmt=noncomplex_formats)
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def test_floor(self):
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def my_floor(x):
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if isinstance(x, pyvips.Image):
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return x.floor()
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else:
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return math.floor(x)
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self.run_unary(self.all_images, my_floor)
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def test_ceil(self):
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def my_ceil(x):
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if isinstance(x, pyvips.Image):
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return x.ceil()
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else:
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return math.ceil(x)
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self.run_unary(self.all_images, my_ceil)
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def test_rint(self):
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def my_rint(x):
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if isinstance(x, pyvips.Image):
|
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return x.rint()
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|
else:
|
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return round(x)
|
|
|
|
self.run_unary(self.all_images, my_rint)
|
|
|
|
def test_sign(self):
|
|
def my_sign(x):
|
|
if isinstance(x, pyvips.Image):
|
|
return x.sign()
|
|
else:
|
|
if x > 0:
|
|
return 1
|
|
elif x < 0:
|
|
return -1
|
|
else:
|
|
return 0
|
|
|
|
self.run_unary(self.all_images, my_sign)
|
|
|
|
def test_max(self):
|
|
test = pyvips.Image.black(100, 100).draw_rect(100, 40, 50, 1, 1)
|
|
|
|
for fmt in all_formats:
|
|
v = test.cast(fmt).max()
|
|
|
|
assert pytest.approx(v) == 100
|
|
v, x, y = test.cast(fmt).maxpos()
|
|
assert pytest.approx(v) == 100
|
|
assert pytest.approx(x) == 40
|
|
assert pytest.approx(y) == 50
|
|
|
|
def test_min(self):
|
|
test = (pyvips.Image.black(100, 100) + 100).draw_rect(0, 40, 50, 1, 1)
|
|
|
|
for fmt in all_formats:
|
|
v = test.cast(fmt).min()
|
|
|
|
assert pytest.approx(v) == 0
|
|
v, x, y = test.cast(fmt).minpos()
|
|
assert pytest.approx(v) == 0
|
|
assert pytest.approx(x) == 40
|
|
assert pytest.approx(y) == 50
|
|
|
|
def test_measure(self):
|
|
im = pyvips.Image.black(50, 50)
|
|
test = im.insert(im + 10, 50, 0, expand=True)
|
|
|
|
for x in noncomplex_formats:
|
|
a = test.cast(x)
|
|
matrix = a.measure(2, 1)
|
|
[p1] = matrix(0, 0)
|
|
[p2] = matrix(0, 1)
|
|
|
|
assert pytest.approx(p1) == 0
|
|
assert pytest.approx(p2) == 10
|
|
|
|
def test_find_trim(self):
|
|
if pyvips.type_find("VipsOperation", "find_trim") != 0:
|
|
im = pyvips.Image.black(50, 60) + 100
|
|
test = im.embed(10, 20, 200, 300, extend="white")
|
|
|
|
for x in unsigned_formats + float_formats:
|
|
a = test.cast(x)
|
|
left, top, width, height = a.find_trim()
|
|
|
|
assert left == 10
|
|
assert top == 20
|
|
assert width == 50
|
|
assert height == 60
|
|
|
|
test_rgb = test.bandjoin([test, test])
|
|
left, top, width, height = test_rgb.find_trim(background=[255, 255,
|
|
255])
|
|
assert left == 10
|
|
assert top == 20
|
|
assert width == 50
|
|
assert height == 60
|
|
|
|
def test_profile(self):
|
|
test = pyvips.Image.black(100, 100).draw_rect(100, 40, 50, 1, 1)
|
|
|
|
for fmt in noncomplex_formats:
|
|
columns, rows = test.cast(fmt).profile()
|
|
|
|
v, x, y = columns.minpos()
|
|
assert pytest.approx(v) == 50
|
|
assert pytest.approx(x) == 40
|
|
assert pytest.approx(y) == 0
|
|
|
|
v, x, y = rows.minpos()
|
|
assert pytest.approx(v) == 40
|
|
assert pytest.approx(x) == 0
|
|
assert pytest.approx(y) == 50
|
|
|
|
def test_project(self):
|
|
im = pyvips.Image.black(50, 50)
|
|
test = im.insert(im + 10, 50, 0, expand=True)
|
|
|
|
for fmt in noncomplex_formats:
|
|
columns, rows = test.cast(fmt).project()
|
|
|
|
assert_almost_equal_objects(columns(10, 0), [0])
|
|
assert_almost_equal_objects(columns(70, 0), [50 * 10])
|
|
|
|
assert_almost_equal_objects(rows(0, 10), [50 * 10])
|
|
|
|
def test_stats(self):
|
|
im = pyvips.Image.black(50, 50)
|
|
test = im.insert(im + 10, 50, 0, expand=True)
|
|
|
|
for x in noncomplex_formats:
|
|
a = test.cast(x)
|
|
matrix = a.stats()
|
|
|
|
assert_almost_equal_objects(matrix(0, 0), [a.min()])
|
|
assert_almost_equal_objects(matrix(1, 0), [a.max()])
|
|
assert_almost_equal_objects(matrix(2, 0), [50 * 50 * 10])
|
|
assert_almost_equal_objects(matrix(3, 0), [50 * 50 * 100])
|
|
assert_almost_equal_objects(matrix(4, 0), [a.avg()])
|
|
assert_almost_equal_objects(matrix(5, 0), [a.deviate()])
|
|
|
|
assert_almost_equal_objects(matrix(0, 1), [a.min()])
|
|
assert_almost_equal_objects(matrix(1, 1), [a.max()])
|
|
assert_almost_equal_objects(matrix(2, 1), [50 * 50 * 10])
|
|
assert_almost_equal_objects(matrix(3, 1), [50 * 50 * 100])
|
|
assert_almost_equal_objects(matrix(4, 1), [a.avg()])
|
|
assert_almost_equal_objects(matrix(5, 1), [a.deviate()])
|
|
|
|
def test_sum(self):
|
|
for fmt in all_formats:
|
|
im = pyvips.Image.black(50, 50)
|
|
im2 = [(im + x).cast(fmt) for x in range(0, 100, 10)]
|
|
im3 = pyvips.Image.sum(im2)
|
|
assert pytest.approx(im3.max()) == sum(range(0, 100, 10))
|
|
|
|
|
|
if __name__ == '__main__':
|
|
pytest.main()
|