%PDF-
%PDF-
Mini Shell
Mini Shell
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)
Zerion Mini Shell 1.0