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https://github.com/arsenetar/dupeguru.git
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190 lines
5.5 KiB
Python
190 lines
5.5 KiB
Python
# Copyright 2016 Hardcoded Software (http://www.hardcoded.net)
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#
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# This software is licensed under the "GPLv3" License as described in the "LICENSE" file,
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# which should be included with this package. The terms are also available at
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# http://www.gnu.org/licenses/gpl-3.0.html
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# The commented out tests are tests for function that have been converted to pure C for speed
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from pytest import raises, skip
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from hscommon.testutil import eq_
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try:
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from core.pe.block import avgdiff, getblocks2, NoBlocksError, DifferentBlockCountError
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except ImportError:
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skip("Can't import the block module, probably hasn't been compiled.")
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def my_avgdiff(first, second, limit=768, min_iter=3): # this is so I don't have to re-write every call
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return avgdiff(first, second, limit, min_iter)
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BLACK = (0, 0, 0)
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RED = (0xFF, 0, 0)
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GREEN = (0, 0xFF, 0)
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BLUE = (0, 0, 0xFF)
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class FakeImage:
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def __init__(self, size, data):
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self.size = size
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self.data = data
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def getdata(self):
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return self.data
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def crop(self, box):
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pixels = []
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for i in range(box[1], box[3]):
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for j in range(box[0], box[2]):
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pixel = self.data[i * self.size[0] + j]
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pixels.append(pixel)
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return FakeImage((box[2] - box[0], box[3] - box[1]), pixels)
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def empty():
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return FakeImage((0, 0), [])
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def single_pixel(): # one red pixel
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return FakeImage((1, 1), [(0xFF, 0, 0)])
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def four_pixels():
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pixels = [RED, (0, 0x80, 0xFF), (0x80, 0, 0), (0, 0x40, 0x80)]
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return FakeImage((2, 2), pixels)
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class TestCasegetblock:
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def test_single_pixel(self):
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im = single_pixel()
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[b] = getblocks2(im, 1)
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eq_(RED, b)
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def test_no_pixel(self):
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im = empty()
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eq_([], getblocks2(im, 1))
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def test_four_pixels(self):
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im = four_pixels()
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[b] = getblocks2(im, 1)
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meanred = (0xFF + 0x80) // 4
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meangreen = (0x80 + 0x40) // 4
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meanblue = (0xFF + 0x80) // 4
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eq_((meanred, meangreen, meanblue), b)
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class TestCasegetblocks2:
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def test_empty_image(self):
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im = empty()
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blocks = getblocks2(im, 1)
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eq_(0, len(blocks))
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def test_one_block_image(self):
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im = four_pixels()
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blocks = getblocks2(im, 1)
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eq_(1, len(blocks))
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block = blocks[0]
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meanred = (0xFF + 0x80) // 4
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meangreen = (0x80 + 0x40) // 4
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meanblue = (0xFF + 0x80) // 4
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eq_((meanred, meangreen, meanblue), block)
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def test_four_blocks_all_black(self):
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im = FakeImage((2, 2), [BLACK, BLACK, BLACK, BLACK])
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blocks = getblocks2(im, 2)
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eq_(4, len(blocks))
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for block in blocks:
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eq_(BLACK, block)
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def test_two_pixels_image_horizontal(self):
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pixels = [RED, BLUE]
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im = FakeImage((2, 1), pixels)
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blocks = getblocks2(im, 2)
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eq_(4, len(blocks))
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eq_(RED, blocks[0])
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eq_(BLUE, blocks[1])
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eq_(RED, blocks[2])
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eq_(BLUE, blocks[3])
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def test_two_pixels_image_vertical(self):
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pixels = [RED, BLUE]
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im = FakeImage((1, 2), pixels)
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blocks = getblocks2(im, 2)
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eq_(4, len(blocks))
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eq_(RED, blocks[0])
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eq_(RED, blocks[1])
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eq_(BLUE, blocks[2])
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eq_(BLUE, blocks[3])
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class TestCaseavgdiff:
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def test_empty(self):
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with raises(NoBlocksError):
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my_avgdiff([], [])
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def test_two_blocks(self):
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b1 = (5, 10, 15)
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b2 = (255, 250, 245)
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b3 = (0, 0, 0)
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b4 = (255, 0, 255)
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blocks1 = [b1, b2]
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blocks2 = [b3, b4]
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expected1 = 5 + 10 + 15
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expected2 = 0 + 250 + 10
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expected = (expected1 + expected2) // 2
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eq_(expected, my_avgdiff(blocks1, blocks2))
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def test_blocks_not_the_same_size(self):
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b = (0, 0, 0)
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with raises(DifferentBlockCountError):
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my_avgdiff([b, b], [b])
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def test_first_arg_is_empty_but_not_second(self):
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# Don't return 0 (as when the 2 lists are empty), raise!
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b = (0, 0, 0)
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with raises(DifferentBlockCountError):
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my_avgdiff([], [b])
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def test_limit(self):
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ref = (0, 0, 0)
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b1 = (10, 10, 10) # avg 30
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b2 = (20, 20, 20) # avg 45
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b3 = (30, 30, 30) # avg 60
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blocks1 = [ref, ref, ref]
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blocks2 = [b1, b2, b3]
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eq_(45, my_avgdiff(blocks1, blocks2, 44))
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def test_min_iterations(self):
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ref = (0, 0, 0)
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b1 = (10, 10, 10) # avg 30
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b2 = (20, 20, 20) # avg 45
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b3 = (10, 10, 10) # avg 40
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blocks1 = [ref, ref, ref]
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blocks2 = [b1, b2, b3]
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eq_(40, my_avgdiff(blocks1, blocks2, 45 - 1, 3))
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# Bah, I don't know why this test fails, but I don't think it matters very much
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# def test_just_over_the_limit(self):
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# #A score just over the limit might return exactly the limit due to truncating. We should
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# #ceil() the result in this case.
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# ref = (0, 0, 0)
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# b1 = (10, 0, 0)
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# b2 = (11, 0, 0)
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# blocks1 = [ref, ref]
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# blocks2 = [b1, b2]
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# eq_(11, my_avgdiff(blocks1, blocks2, 10))
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#
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def test_return_at_least_1_at_the_slightest_difference(self):
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ref = (0, 0, 0)
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b1 = (1, 0, 0)
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blocks1 = [ref for _ in range(250)]
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blocks2 = [ref for _ in range(250)]
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blocks2[0] = b1
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eq_(1, my_avgdiff(blocks1, blocks2))
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def test_return_0_if_there_is_no_difference(self):
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ref = (0, 0, 0)
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blocks1 = [ref, ref]
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blocks2 = [ref, ref]
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eq_(0, my_avgdiff(blocks1, blocks2))
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