716 lines
22 KiB
Python
Executable File
716 lines
22 KiB
Python
Executable File
#!/usr/bin/python3
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from __future__ import division
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import unittest
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import math
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#import logging
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#logging.basicConfig(level = logging.DEBUG)
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import gi
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gi.require_version('Vips', '8.0')
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from gi.repository import Vips
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Vips.leak_set(True)
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unsigned_formats = [Vips.BandFormat.UCHAR,
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Vips.BandFormat.USHORT,
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Vips.BandFormat.UINT]
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signed_formats = [Vips.BandFormat.CHAR,
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Vips.BandFormat.SHORT,
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Vips.BandFormat.INT]
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float_formats = [Vips.BandFormat.FLOAT,
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Vips.BandFormat.DOUBLE]
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complex_formats = [Vips.BandFormat.COMPLEX,
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Vips.BandFormat.DPCOMPLEX]
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int_formats = unsigned_formats + signed_formats
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noncomplex_formats = int_formats + float_formats
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all_formats = int_formats + float_formats + complex_formats
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# an expanding zip ... if either of the args is not a list, duplicate it down
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# the other
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def zip_expand(x, y):
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if isinstance(x, list) and isinstance(y, list):
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return list(zip(x, y))
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elif isinstance(x, list):
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return [[i, y] for i in x]
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elif isinstance(y, list):
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return [[x, j] for j in y]
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else:
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return [[x, y]]
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# run a 1-ary function on a thing -- loop over elements if the
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# thing is a list
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def run_fn(fn, x):
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if isinstance(x, list):
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return [fn(i) for i in x]
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else:
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return fn(x)
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# run a 2-ary function on two things -- loop over elements pairwise if the
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# things are lists
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def run_fn2(fn, x, y):
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if isinstance(x, Vips.Image) or isinstance(y, Vips.Image):
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return fn(x, y)
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elif isinstance(x, list) or isinstance(y, list):
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return [fn(i, j) for i, j in zip_expand(x, y)]
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else:
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return fn(x, y)
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class TestArithmetic(unittest.TestCase):
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# test a pair of things which can be lists for approx. equality
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def assertAlmostEqualObjects(self, a, b, msg = ''):
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#print 'assertAlmostEqualObjects %s = %s' % (a, b)
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for x, y in zip_expand(a, b):
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self.assertAlmostEqual(x, y, places = 4, msg = msg)
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# run a function on an image and on a single pixel, the results
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# should match
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def run_cmp(self, message, im, x, y, fn):
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a = im(x, y)
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v1 = fn(a)
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im2 = fn(im)
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v2 = im2(x, y)
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self.assertAlmostEqualObjects(v1, v2, msg = message)
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# run a function on (image, constant), and on (constant, image).
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# 50,50 and 10,10 should have different values on the test image
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def run_testconst(self, message, fn, im, c):
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self.run_cmp(message, im, 50, 50, lambda x: run_fn2(fn, x, c))
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self.run_cmp(message, im, 50, 50, lambda x: run_fn2(fn, c, x))
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self.run_cmp(message, im, 10, 10, lambda x: run_fn2(fn, x, c))
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self.run_cmp(message, im, 10, 10, lambda x: run_fn2(fn, c, x))
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def run_arith_const(self, fn, fmt = all_formats):
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[self.run_testconst(fn.__name__ + ' scalar', fn, x.cast(y), 2)
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for x in self.all_images for y in fmt]
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[self.run_testconst(fn.__name__ + ' vector', fn, self.colour.cast(y),
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[1, 2, 3])
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for y in fmt]
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# run a function on a pair of images and on a pair of pixels, the results
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# should match
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def run_cmp2(self, message, left, right, x, y, fn):
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a = left(x, y)
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b = right(x, y)
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v1 = fn(a, b)
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after = fn(left, right)
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v2 = after(x, y)
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self.assertAlmostEqualObjects(v1, v2, msg = message)
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# run a function on a pair of images
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# 50,50 and 10,10 should have different values on the test image
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def run_test2(self, message, left, right, fn):
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self.run_cmp2(message, left, right, 50, 50,
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lambda x, y: run_fn2(fn, x, y))
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self.run_cmp2(message, left, right, 10, 10,
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lambda x, y: run_fn2(fn, x, y))
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def run_arith(self, fn, fmt = all_formats):
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[self.run_test2(fn.__name__ + ' image', 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 setUp(self):
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im = Vips.Image.mask_ideal(100, 100, 0.5, reject = True, optical = True)
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self.colour = im * [1, 2, 3] + [2, 3, 4]
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self.mono = self.colour.extract_band(1)
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self.all_images = [self.mono, self.colour]
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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, Vips.Image) or isinstance(y, Vips.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, Vips.Image) or isinstance(y, Vips.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, Vips.Image) or isinstance(y, Vips.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, Vips.Image) or isinstance(y, Vips.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, Vips.Image) or isinstance(y, Vips.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, Vips.Image) or isinstance(y, Vips.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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# 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_testunary(self, message, im, fn):
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self.run_cmp(message, im, 50, 50, lambda x: run_fn(fn, x))
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self.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_testunary(fn.__name__ + ' image', x.cast(y), fn)
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for x in images for y in fmt]
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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 = [Vips.BandFormat.UCHAR])
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# test the rest of VipsArithmetic
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def test_avg(self):
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im = Vips.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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self.assertAlmostEqual(test.cast(fmt).avg(), 50)
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def test_deviate(self):
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im = Vips.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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self.assertAlmostEqual(test.cast(fmt).deviate(), 50, places = 2)
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def test_polar(self):
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im = Vips.Image.black(100, 100) + 100
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im = im.complexform(im)
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im = im.polar()
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self.assertAlmostEqual(im.real().avg(), 100 * 2 ** 0.5)
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self.assertAlmostEqual(im.imag().avg(), 45)
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def test_rect(self):
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im = Vips.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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self.assertAlmostEqual(im.real().avg(), 100)
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self.assertAlmostEqual(im.imag().avg(), 100)
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def test_conjugate(self):
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im = Vips.Image.black(100, 100) + 100
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im = im.complexform(im)
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im = im.conj()
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self.assertAlmostEqual(im.real().avg(), 100)
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self.assertAlmostEqual(im.imag().avg(), -100)
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def test_histfind(self):
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im = Vips.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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self.assertAlmostEqualObjects(hist(0,0), [5000])
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self.assertAlmostEqualObjects(hist(10,0), [5000])
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self.assertAlmostEqualObjects(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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self.assertAlmostEqualObjects(hist(0,0), [5000])
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self.assertAlmostEqualObjects(hist(10,0), [5000])
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self.assertAlmostEqualObjects(hist(5,0), [0])
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hist = test.cast(fmt).hist_find(band = 1)
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self.assertAlmostEqualObjects(hist(0,0), [5000])
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self.assertAlmostEqualObjects(hist(20,0), [5000])
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self.assertAlmostEqualObjects(hist(5,0), [0])
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def test_histfind_indexed(self):
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im = Vips.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 [Vips.BandFormat.UCHAR, Vips.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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self.assertAlmostEqualObjects(hist(0,0), [0])
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self.assertAlmostEqualObjects(hist(1,0), [50000])
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def test_histfind_ndim(self):
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im = Vips.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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self.assertAlmostEqualObjects(hist(0,0)[0], 10000)
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self.assertAlmostEqualObjects(hist(5,5)[5], 0)
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hist = im.cast(fmt).hist_find_ndim(bins = 1)
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self.assertAlmostEqualObjects(hist(0,0)[0], 10000)
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self.assertEqual(hist.width, 1)
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self.assertEqual(hist.height, 1)
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self.assertEqual(hist.bands, 1)
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def test_hough_circle(self):
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test = Vips.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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self.assertAlmostEqual(x, 50)
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self.assertAlmostEqual(y, 50)
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self.assertAlmostEqual(r, 40)
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def test_hough_line(self):
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test = Vips.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 = 360.0 * x // hough.width
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distance = test.height * y // hough.height
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self.assertAlmostEqual(angle, 45)
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self.assertAlmostEqual(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, Vips.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, Vips.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, Vips.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, Vips.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 = (Vips.Image.black(100, 100) + [1, 2, 3]) / 3.0
|
|
self.run_unary([im], my_asin, fmt = noncomplex_formats)
|
|
|
|
def test_acos(self):
|
|
def my_acos(x):
|
|
if isinstance(x, Vips.Image):
|
|
return x.acos()
|
|
else:
|
|
return math.degrees(math.acos(x))
|
|
|
|
im = (Vips.Image.black(100, 100) + [1, 2, 3]) / 3.0
|
|
self.run_unary([im], my_acos, fmt = noncomplex_formats)
|
|
|
|
def test_atan(self):
|
|
def my_atan(x):
|
|
if isinstance(x, Vips.Image):
|
|
return x.atan()
|
|
else:
|
|
return math.degrees(math.atan(x))
|
|
|
|
im = (Vips.Image.black(100, 100) + [1, 2, 3]) / 3.0
|
|
self.run_unary([im], my_atan, fmt = noncomplex_formats)
|
|
|
|
def test_log(self):
|
|
def my_log(x):
|
|
if isinstance(x, Vips.Image):
|
|
return x.log()
|
|
else:
|
|
return math.log(x)
|
|
|
|
self.run_unary(self.all_images, my_log, fmt = noncomplex_formats)
|
|
|
|
def test_log10(self):
|
|
def my_log10(x):
|
|
if isinstance(x, Vips.Image):
|
|
return x.log10()
|
|
else:
|
|
return math.log10(x)
|
|
|
|
self.run_unary(self.all_images, my_log10, fmt = noncomplex_formats)
|
|
|
|
def test_exp(self):
|
|
def my_exp(x):
|
|
if isinstance(x, Vips.Image):
|
|
return x.exp()
|
|
else:
|
|
return math.exp(x)
|
|
|
|
self.run_unary(self.all_images, my_exp, fmt = noncomplex_formats)
|
|
|
|
def test_exp10(self):
|
|
def my_exp10(x):
|
|
if isinstance(x, Vips.Image):
|
|
return x.exp10()
|
|
else:
|
|
return math.pow(10, x)
|
|
|
|
self.run_unary(self.all_images, my_exp10, fmt = noncomplex_formats)
|
|
|
|
def test_floor(self):
|
|
def my_floor(x):
|
|
if isinstance(x, Vips.Image):
|
|
return x.floor()
|
|
else:
|
|
return math.floor(x)
|
|
|
|
self.run_unary(self.all_images, my_floor)
|
|
|
|
def test_ceil(self):
|
|
def my_ceil(x):
|
|
if isinstance(x, Vips.Image):
|
|
return x.ceil()
|
|
else:
|
|
return math.ceil(x)
|
|
|
|
self.run_unary(self.all_images, my_ceil)
|
|
|
|
def test_rint(self):
|
|
def my_rint(x):
|
|
if isinstance(x, Vips.Image):
|
|
return x.rint()
|
|
else:
|
|
return round(x)
|
|
|
|
self.run_unary(self.all_images, my_rint)
|
|
|
|
def test_sign(self):
|
|
def my_sign(x):
|
|
if isinstance(x, Vips.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 = Vips.Image.black(100, 100).draw_rect(100, 40, 50, 1, 1)
|
|
|
|
for fmt in all_formats:
|
|
v = test.cast(fmt).max()
|
|
|
|
self.assertAlmostEqual(v, 100)
|
|
v, x, y = test.cast(fmt).maxpos()
|
|
self.assertAlmostEqual(v, 100)
|
|
self.assertAlmostEqual(x, 40)
|
|
self.assertAlmostEqual(y, 50)
|
|
|
|
def test_min(self):
|
|
test = (Vips.Image.black(100, 100) + 100).draw_rect(0, 40, 50, 1, 1)
|
|
|
|
for fmt in all_formats:
|
|
v = test.cast(fmt).min()
|
|
|
|
self.assertAlmostEqual(v, 0)
|
|
v, x, y = test.cast(fmt).minpos()
|
|
self.assertAlmostEqual(v, 0)
|
|
self.assertAlmostEqual(x, 40)
|
|
self.assertAlmostEqual(y, 50)
|
|
|
|
def test_measure(self):
|
|
im = Vips.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)
|
|
|
|
self.assertAlmostEqual(p1, 0)
|
|
self.assertAlmostEqual(p2, 10)
|
|
|
|
def test_find_trim(self):
|
|
im = Vips.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()
|
|
|
|
self.assertEqual(left, 10)
|
|
self.assertEqual(top, 20)
|
|
self.assertEqual(width, 50)
|
|
self.assertEqual(height, 60)
|
|
|
|
def test_profile(self):
|
|
test = Vips.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()
|
|
self.assertAlmostEqual(v, 50)
|
|
self.assertAlmostEqual(x, 40)
|
|
self.assertAlmostEqual(y, 0)
|
|
|
|
v, x, y = rows.minpos()
|
|
self.assertAlmostEqual(v, 40)
|
|
self.assertAlmostEqual(x, 0)
|
|
self.assertAlmostEqual(y, 50)
|
|
|
|
def test_project(self):
|
|
im = Vips.Image.black(50, 50)
|
|
test = im.insert(im + 10, 50, 0, expand = True)
|
|
|
|
for fmt in noncomplex_formats:
|
|
columns, rows = test.cast(fmt).project()
|
|
|
|
self.assertAlmostEqualObjects(columns(10,0), [0])
|
|
self.assertAlmostEqualObjects(columns(70,0), [50 * 10])
|
|
|
|
self.assertAlmostEqualObjects(rows(0,10), [50 * 10])
|
|
|
|
def test_stats(self):
|
|
im = Vips.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()
|
|
|
|
self.assertAlmostEqualObjects(matrix(0, 0), [a.min()])
|
|
self.assertAlmostEqualObjects(matrix(1, 0), [a.max()])
|
|
self.assertAlmostEqualObjects(matrix(2, 0), [50 * 50 * 10])
|
|
self.assertAlmostEqualObjects(matrix(3, 0), [50 * 50 * 100])
|
|
self.assertAlmostEqualObjects(matrix(4, 0), [a.avg()])
|
|
self.assertAlmostEqualObjects(matrix(5, 0), [a.deviate()])
|
|
|
|
self.assertAlmostEqualObjects(matrix(0, 1), [a.min()])
|
|
self.assertAlmostEqualObjects(matrix(1, 1), [a.max()])
|
|
self.assertAlmostEqualObjects(matrix(2, 1), [50 * 50 * 10])
|
|
self.assertAlmostEqualObjects(matrix(3, 1), [50 * 50 * 100])
|
|
self.assertAlmostEqualObjects(matrix(4, 1), [a.avg()])
|
|
self.assertAlmostEqualObjects(matrix(5, 1), [a.deviate()])
|
|
|
|
def test_sum(self):
|
|
for fmt in all_formats:
|
|
im = Vips.Image.black(50, 50)
|
|
im2 = [(im + x).cast(fmt) for x in range(0, 100, 10)]
|
|
im3 = Vips.Image.sum(im2)
|
|
self.assertAlmostEqual(im3.max(), sum(range(0, 100, 10)))
|
|
|
|
if __name__ == '__main__':
|
|
unittest.main()
|