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from dlib import matrix
try:
import cPickle as pickle # Use cPickle on Python 2.7
except ImportError:
import pickle
from pytest import raises
try:
import numpy
have_numpy = True
except ImportError:
have_numpy = False
def test_matrix_empty_init():
m = matrix()
assert m.nr() == 0
assert m.nc() == 0
assert m.shape == (0, 0)
assert len(m) == 0
assert repr(m) == "< dlib.matrix containing: >"
assert str(m) == ""
def test_matrix_from_list():
m = matrix([[0, 1, 2],
[3, 4, 5],
[6, 7, 8]])
assert m.nr() == 3
assert m.nc() == 3
assert m.shape == (3, 3)
assert len(m) == 3
assert repr(m) == "< dlib.matrix containing: \n0 1 2 \n3 4 5 \n6 7 8 >"
assert str(m) == "0 1 2 \n3 4 5 \n6 7 8"
deser = pickle.loads(pickle.dumps(m, 2))
for row in range(3):
for col in range(3):
assert m[row][col] == deser[row][col]
def test_matrix_from_list_with_invalid_rows():
with raises(ValueError):
matrix([[0, 1, 2],
[3, 4],
[5, 6, 7]])
def test_matrix_from_list_as_column_vector():
m = matrix([0, 1, 2])
assert m.nr() == 3
assert m.nc() == 1
assert m.shape == (3, 1)
assert len(m) == 3
assert repr(m) == "< dlib.matrix containing: \n0 \n1 \n2 >"
assert str(m) == "0 \n1 \n2"
if have_numpy:
def test_matrix_from_object_with_2d_shape():
m1 = numpy.array([[0, 1, 2],
[3, 4, 5],
[6, 7, 8]])
m = matrix(m1)
assert m.nr() == 3
assert m.nc() == 3
assert m.shape == (3, 3)
assert len(m) == 3
assert repr(m) == "< dlib.matrix containing: \n0 1 2 \n3 4 5 \n6 7 8 >"
assert str(m) == "0 1 2 \n3 4 5 \n6 7 8"
def test_matrix_from_object_without_2d_shape():
with raises(IndexError):
m1 = numpy.array([0, 1, 2])
matrix(m1)
def test_matrix_from_object_without_shape():
with raises(AttributeError):
matrix("invalid")
def test_matrix_set_size():
m = matrix()
m.set_size(5, 5)
assert m.nr() == 5
assert m.nc() == 5
assert m.shape == (5, 5)
assert len(m) == 5
assert repr(m) == "< dlib.matrix containing: \n0 0 0 0 0 \n0 0 0 0 0 \n0 0 0 0 0 \n0 0 0 0 0 \n0 0 0 0 0 >"
assert str(m) == "0 0 0 0 0 \n0 0 0 0 0 \n0 0 0 0 0 \n0 0 0 0 0 \n0 0 0 0 0"
deser = pickle.loads(pickle.dumps(m, 2))
for row in range(5):
for col in range(5):
assert m[row][col] == deser[row][col]