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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) | |
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 | |
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]) | |
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]) | |
# delta==-1 when count<0 because one extra zero of padding | |
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]) | |
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) | |