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Editing: test_packbits.py
import numpy as np from numpy.testing import assert_array_equal, assert_equal, assert_raises import pytest from itertools import chain def test_packbits(): # Copied from the docstring. a = [[[1, 0, 1], [0, 1, 0]], [[1, 1, 0], [0, 0, 1]]] for dt in '?bBhHiIlLqQ': arr = np.array(a, dtype=dt) b = np.packbits(arr, axis=-1) assert_equal(b.dtype, np.uint8) assert_array_equal(b, np.array([[[160], [64]], [[192], [32]]])) assert_raises(TypeError, np.packbits, np.array(a, dtype=float)) def test_packbits_empty(): shapes = [ (0,), (10, 20, 0), (10, 0, 20), (0, 10, 20), (20, 0, 0), (0, 20, 0), (0, 0, 20), (0, 0, 0), ] for dt in '?bBhHiIlLqQ': for shape in shapes: a = np.empty(shape, dtype=dt) b = np.packbits(a) assert_equal(b.dtype, np.uint8) assert_equal(b.shape, (0,)) def test_packbits_empty_with_axis(): # Original shapes and lists of packed shapes for different axes. shapes = [ ((0,), [(0,)]), ((10, 20, 0), [(2, 20, 0), (10, 3, 0), (10, 20, 0)]), ((10, 0, 20), [(2, 0, 20), (10, 0, 20), (10, 0, 3)]), ((0, 10, 20), [(0, 10, 20), (0, 2, 20), (0, 10, 3)]), ((20, 0, 0), [(3, 0, 0), (20, 0, 0), (20, 0, 0)]), ((0, 20, 0), [(0, 20, 0), (0, 3, 0), (0, 20, 0)]), ((0, 0, 20), [(0, 0, 20), (0, 0, 20), (0, 0, 3)]), ((0, 0, 0), [(0, 0, 0), (0, 0, 0), (0, 0, 0)]), ] for dt in '?bBhHiIlLqQ': for in_shape, out_shapes in shapes: for ax, out_shape in enumerate(out_shapes): a = np.empty(in_shape, dtype=dt) b = np.packbits(a, axis=ax) assert_equal(b.dtype, np.uint8) assert_equal(b.shape, out_shape) @pytest.mark.parametrize('bitorder', ('little', 'big')) def test_packbits_large(bitorder): # test data large enough for 16 byte vectorization a = np.array([1, 1, 0, 1, 1, 1, 0, 0, 0, 0, 1, 1, 1, 0, 0, 1, 1, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 1, 1, 1, 0, 1, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 0, 0, 0, 1, 0, 0, 1, 1, 0, 0, 0, 1, 0, 1, 1, 0, 0, 0, 1, 0, 0, 1, 1, 1, 1, 1, 1, 0, 1, 0, 1, 0, 0, 1, 0, 1, 1, 0, 1, 0, 1, 1, 0, 1, 0, 1, 1, 0, 1, 0, 1, 0, 1, 1, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 1, 1, 1, 0, 0, 0, 1, 0, 1, 0, 1, 1, 0, 1, 0, 0, 1, 0, 1, 1, 1, 1, 0, 1, 1, 0, 0, 0, 1, 1, 0, 0, 1, 0, 1, 0, 0, 1, 0, 0, 1, 1, 1, 1, 1, 1, 1, 1, 0, 1, 1, 0, 0, 0, 1, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 0, 0, 0, 1, 1, 1, 1, 0, 1, 0, 0, 0, 0, 0, 1, 1, 1, 1, 0, 0, 0, 0, 1, 1, 1, 1, 1, 0, 1, 1, 0, 1, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 0, 0, 1, 0, 1, 1, 0, 0, 0, 0, 1, 1, 0, 1, 1, 1, 0, 1, 0, 1, 1, 1, 0, 0, 1, 0, 0, 0, 1, 0, 1, 1, 0, 0, 1, 0, 0, 1, 0, 0, 0, 1, 0, 1, 1, 1, 1, 1, 1, 0, 1, 0, 1, 0, 1, 0, 1, 0, 0, 1, 1, 0, 1, 0, 1, 0, 0, 1, 0, 1, 0, 1, 1, 0]) a = a.repeat(3) for dtype in '?bBhHiIlLqQ': arr = np.array(a, dtype=dtype) b = np.packbits(arr, axis=None, bitorder=bitorder) assert_equal(b.dtype, np.uint8) r = [252, 127, 192, 3, 254, 7, 252, 0, 7, 31, 240, 0, 28, 1, 255, 252, 113, 248, 3, 255, 192, 28, 15, 192, 28, 126, 0, 224, 127, 255, 227, 142, 7, 31, 142, 63, 28, 126, 56, 227, 240, 0, 227, 128, 63, 224, 14, 56, 252, 112, 56, 255, 241, 248, 3, 240, 56, 224, 112, 63, 255, 255, 199, 224, 14, 0, 31, 143, 192, 3, 255, 199, 0, 1, 255, 224, 1, 255, 252, 126, 63, 0, 1, 192, 252, 14, 63, 0, 15, 199, 252, 113, 255, 3, 128, 56, 252, 14, 7, 0, 113, 255, 255, 142, 56, 227, 129, 248, 227, 129, 199, 31, 128] if bitorder == 'big': assert_array_equal(b, r) # equal for size being multiple of 8 assert_array_equal(np.unpackbits(b, bitorder=bitorder)[:-4], a) # check last byte of different remainders (16 byte vectorization) b = [np.packbits(arr[:-i], axis=None)[-1] for i in range(1, 16)] assert_array_equal(b, [128, 128, 128, 31, 30, 28, 24, 16, 0, 0, 0, 199, 198, 196, 192]) arr = arr.reshape(36, 25) b = np.packbits(arr, axis=0) assert_equal(b.dtype, np.uint8) assert_array_equal(b, [[190, 186, 178, 178, 150, 215, 87, 83, 83, 195, 199, 206, 204, 204, 140, 140, 136, 136, 8, 40, 105, 107, 75, 74, 88], [72, 216, 248, 241, 227, 195, 202, 90, 90, 83, 83, 119, 127, 109, 73, 64, 208, 244, 189, 45, 41, 104, 122, 90, 18], [113, 120, 248, 216, 152, 24, 60, 52, 182, 150, 150, 150, 146, 210, 210, 246, 255, 255, 223, 151, 21, 17, 17, 131, 163], [214, 210, 210, 64, 68, 5, 5, 1, 72, 88, 92, 92, 78, 110, 39, 181, 149, 220, 222, 218, 218, 202, 234, 170, 168], [0, 128, 128, 192, 80, 112, 48, 160, 160, 224, 240, 208, 144, 128, 160, 224, 240, 208, 144, 144, 176, 240, 224, 192, 128]]) b = np.packbits(arr, axis=1) assert_equal(b.dtype, np.uint8) assert_array_equal(b, [[252, 127, 192, 0], [ 7, 252, 15, 128], [240, 0, 28, 0], [255, 128, 0, 128], [192, 31, 255, 128], [142, 63, 0, 0], [255, 240, 7, 0], [ 7, 224, 14, 0], [126, 0, 224, 0], [255, 255, 199, 0], [ 56, 28, 126, 0], [113, 248, 227, 128], [227, 142, 63, 0], [ 0, 28, 112, 0], [ 15, 248, 3, 128], [ 28, 126, 56, 0], [ 56, 255, 241, 128], [240, 7, 224, 0], [227, 129, 192, 128], [255, 255, 254, 0], [126, 0, 224, 0], [ 3, 241, 248, 0], [ 0, 255, 241, 128], [128, 0, 255, 128], [224, 1, 255, 128], [248, 252, 126, 0], [ 0, 7, 3, 128], [224, 113, 248, 0], [ 0, 252, 127, 128], [142, 63, 224, 0], [224, 14, 63, 0], [ 7, 3, 128, 0], [113, 255, 255, 128], [ 28, 113, 199, 0], [ 7, 227, 142, 0], [ 14, 56, 252, 0]]) arr = arr.T.copy() b = np.packbits(arr, axis=0) assert_equal(b.dtype, np.uint8) assert_array_equal(b, [[252, 7, 240, 255, 192, 142, 255, 7, 126, 255, 56, 113, 227, 0, 15, 28, 56, 240, 227, 255, 126, 3, 0, 128, 224, 248, 0, 224, 0, 142, 224, 7, 113, 28, 7, 14], [127, 252, 0, 128, 31, 63, 240, 224, 0, 255, 28, 248, 142, 28, 248, 126, 255, 7, 129, 255, 0, 241, 255, 0, 1, 252, 7, 113, 252, 63, 14, 3, 255, 113, 227, 56], [192, 15, 28, 0, 255, 0, 7, 14, 224, 199, 126, 227, 63, 112, 3, 56, 241, 224, 192, 254, 224, 248, 241, 255, 255, 126, 3, 248, 127, 224, 63, 128, 255, 199, 142, 252], [0, 128, 0, 128, 128, 0, 0, 0, 0, 0, 0, 128, 0, 0, 128, 0, 128, 0, 128, 0, 0, 0, 128, 128, 128, 0, 128, 0, 128, 0, 0, 0, 128, 0, 0, 0]]) b = np.packbits(arr, axis=1) assert_equal(b.dtype, np.uint8) assert_array_equal(b, [[190, 72, 113, 214, 0], [186, 216, 120, 210, 128], [178, 248, 248, 210, 128], [178, 241, 216, 64, 192], [150, 227, 152, 68, 80], [215, 195, 24, 5, 112], [ 87, 202, 60, 5, 48], [ 83, 90, 52, 1, 160], [ 83, 90, 182, 72, 160], [195, 83, 150, 88, 224], [199, 83, 150, 92, 240], [206, 119, 150, 92, 208], [204, 127, 146, 78, 144], [204, 109, 210, 110, 128], [140, 73, 210, 39, 160], [140, 64, 246, 181, 224], [136, 208, 255, 149, 240], [136, 244, 255, 220, 208], [ 8, 189, 223, 222, 144], [ 40, 45, 151, 218, 144], [105, 41, 21, 218, 176], [107, 104, 17, 202, 240], [ 75, 122, 17, 234, 224], [ 74, 90, 131, 170, 192], [ 88, 18, 163, 168, 128]]) # result is the same if input is multiplied with a nonzero value for dtype in 'bBhHiIlLqQ': arr = np.array(a, dtype=dtype) rnd = np.random.randint(low=np.iinfo(dtype).min, high=np.iinfo(dtype).max, size=arr.size, dtype=dtype) rnd[rnd == 0] = 1 arr *= rnd.astype(dtype) b = np.packbits(arr, axis=-1) assert_array_equal(np.unpackbits(b)[:-4], a) assert_raises(TypeError, np.packbits, np.array(a, dtype=float)) def test_packbits_very_large(): # test some with a larger arrays gh-8637 # code is covered earlier but larger array makes crash on bug more likely for s in range(950, 1050): for dt in '?bBhHiIlLqQ': x = np.ones((200, s), dtype=bool) np.packbits(x, axis=1) def test_unpackbits(): # Copied from the docstring. a = np.array([[2], [7], [23]], dtype=np.uint8) b = np.unpackbits(a, axis=1) assert_equal(b.dtype, np.uint8) assert_array_equal(b, np.array([[0, 0, 0, 0, 0, 0, 1, 0], [0, 0, 0, 0, 0, 1, 1, 1], [0, 0, 0, 1, 0, 1, 1, 1]])) def test_pack_unpack_order(): a = np.array([[2], [7], [23]], dtype=np.uint8) b = np.unpackbits(a, axis=1) assert_equal(b.dtype, np.uint8) b_little = np.unpackbits(a, axis=1, bitorder='little') b_big = np.unpackbits(a, axis=1, bitorder='big') assert_array_equal(b, b_big) assert_array_equal(a, np.packbits(b_little, axis=1, bitorder='little')) assert_array_equal(b[:,::-1], b_little) assert_array_equal(a, np.packbits(b_big, axis=1, bitorder='big')) assert_raises(ValueError, np.unpackbits, a, bitorder='r') assert_raises(TypeError, np.unpackbits, a, bitorder=10) def test_unpackbits_empty(): a = np.empty((0,), dtype=np.uint8) b = np.unpackbits(a) assert_equal(b.dtype, np.uint8) assert_array_equal(b, np.empty((0,))) def test_unpackbits_empty_with_axis(): # Lists of packed shapes for different axes and unpacked shapes. shapes = [ ([(0,)], (0,)), ([(2, 24, 0), (16, 3, 0), (16, 24, 0)], (16, 24, 0)), ([(2, 0, 24), (16, 0, 24), (16, 0, 3)], (16, 0, 24)), ([(0, 16, 24), (0, 2, 24), (0, 16, 3)], (0, 16, 24)), ([(3, 0, 0), (24, 0, 0), (24, 0, 0)], (24, 0, 0)), ([(0, 24, 0), (0, 3, 0), (0, 24, 0)], (0, 24, 0)), ([(0, 0, 24), (0, 0, 24), (0, 0, 3)], (0, 0, 24)), ([(0, 0, 0), (0, 0, 0), (0, 0, 0)], (0, 0, 0)), ] for in_shapes, out_shape in shapes: for ax, in_shape in enumerate(in_shapes): a = np.empty(in_shape, dtype=np.uint8) b = np.unpackbits(a, axis=ax) assert_equal(b.dtype, np.uint8) assert_equal(b.shape, out_shape) def test_unpackbits_large(): # test all possible numbers via comparison to already tested packbits d = np.arange(277, dtype=np.uint8) assert_array_equal(np.packbits(np.unpackbits(d)), d) assert_array_equal(np.packbits(np.unpackbits(d[::2])), d[::2]) d = np.tile(d, (3, 1)) assert_array_equal(np.packbits(np.unpackbits(d, axis=1), axis=1), d) d = d.T.copy() assert_array_equal(np.packbits(np.unpackbits(d, axis=0), axis=0), d) class TestCount(): x = np.array([ [1, 0, 1, 0, 0, 1, 0], [0, 1, 1, 1, 0, 0, 0], [0, 0, 1, 0, 0, 1, 1], [1, 1, 0, 0, 0, 1, 1], [1, 0, 1, 0, 1, 0, 1], [0, 0, 1, 1, 1, 0, 0], [0, 1, 0, 1, 0, 1, 0], ], dtype=np.uint8) padded1 = np.zeros(57, dtype=np.uint8) padded1[:49] = x.ravel() padded1b = np.zeros(57, dtype=np.uint8) padded1b[:49] = x[::-1].copy().ravel() padded2 = np.zeros((9, 9), dtype=np.uint8) padded2[:7, :7] = x @pytest.mark.parametrize('bitorder', ('little', 'big')) @pytest.mark.parametrize('count', chain(range(58), range(-1, -57, -1))) def test_roundtrip(self, bitorder, count): if count < 0: # one extra zero of padding cutoff = count - 1 else: cutoff = count # test complete invertibility of packbits and unpackbits with count packed = np.packbits(self.x, bitorder=bitorder) unpacked = np.unpackbits(packed, count=count, bitorder=bitorder) assert_equal(unpacked.dtype, np.uint8) assert_array_equal(unpacked, self.padded1[:cutoff]) @pytest.mark.parametrize('kwargs', [ {}, {'count': None}, ]) def test_count(self, kwargs): packed = np.packbits(self.x) unpacked = np.unpackbits(packed, **kwargs) assert_equal(unpacked.dtype, np.uint8) assert_array_equal(unpacked, self.padded1[:-1]) @pytest.mark.parametrize('bitorder', ('little', 'big')) # delta==-1 when count<0 because one extra zero of padding @pytest.mark.parametrize('count', chain(range(8), range(-1, -9, -1))) def test_roundtrip_axis(self, bitorder, count): if count < 0: # one extra zero of padding cutoff = count - 1 else: cutoff = count packed0 = np.packbits(self.x, axis=0, bitorder=bitorder) unpacked0 = np.unpackbits(packed0, axis=0, count=count, bitorder=bitorder) assert_equal(unpacked0.dtype, np.uint8) assert_array_equal(unpacked0, self.padded2[:cutoff, :self.x.shape[1]]) packed1 = np.packbits(self.x, axis=1, bitorder=bitorder) unpacked1 = np.unpackbits(packed1, axis=1, count=count, bitorder=bitorder) assert_equal(unpacked1.dtype, np.uint8) assert_array_equal(unpacked1, self.padded2[:self.x.shape[0], :cutoff]) @pytest.mark.parametrize('kwargs', [ {}, {'count': None}, {'bitorder' : 'little'}, {'bitorder': 'little', 'count': None}, {'bitorder' : 'big'}, {'bitorder': 'big', 'count': None}, ]) def test_axis_count(self, kwargs): packed0 = np.packbits(self.x, axis=0) unpacked0 = np.unpackbits(packed0, axis=0, **kwargs) assert_equal(unpacked0.dtype, np.uint8) if kwargs.get('bitorder', 'big') == 'big': assert_array_equal(unpacked0, self.padded2[:-1, :self.x.shape[1]]) else: assert_array_equal(unpacked0[::-1, :], self.padded2[:-1, :self.x.shape[1]]) packed1 = np.packbits(self.x, axis=1) unpacked1 = np.unpackbits(packed1, axis=1, **kwargs) assert_equal(unpacked1.dtype, np.uint8) if kwargs.get('bitorder', 'big') == 'big': assert_array_equal(unpacked1, self.padded2[:self.x.shape[0], :-1]) else: assert_array_equal(unpacked1[:, ::-1], self.padded2[:self.x.shape[0], :-1]) def test_bad_count(self): packed0 = np.packbits(self.x, axis=0) assert_raises(ValueError, np.unpackbits, packed0, axis=0, count=-9) packed1 = np.packbits(self.x, axis=1) assert_raises(ValueError, np.unpackbits, packed1, axis=1, count=-9) packed = np.packbits(self.x) assert_raises(ValueError, np.unpackbits, packed, count=-57)
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