def test_set_covar(self):
f = Feature(ctype=ctypes.c_double)
nose.tools.assert_equal(f.covariance, Covariance())
expected = [[1, 2],
[3, 4]]
c = Covariance(2, ctypes.c_double, expected)
f.covariance = c
nose.tools.assert_equal(f.covariance, c)
# Should also work if we just give it the raw iterable
f.covariance = expected
nose.tools.assert_equal(f.covariance, c)
# And for floats...
f = Feature(ctype=ctypes.c_float)
nose.tools.assert_equal(f.covariance, Covariance())
expected = [[1, 2],
[3, 4]]
c = Covariance(2, ctypes.c_float, expected)
f.covariance = c
nose.tools.assert_equal(f.covariance, c)
# Should also work if we just give it the raw iterable
f.covariance = expected
nose.tools.assert_equal(f.covariance, c)
def test_set_covar(self):
f = Feature(ctype='d')
#nose.tools.assert_equal(f.covariance, Covariance.new_covar())
expected = [[1, 2], [3, 4]]
c = Covariance.from_matrix(2, 'd', expected)
f.covariance = c
#nose.tools.assert_equal(f.covariance, c)
# Should also work if we just give it the raw iterable
f.covariance = expected
#nose.tools.assert_equal(f.covariance, c)
# And for floats...
f = Feature(ctype='f')
#nose.tools.assert_equal(f.covariance, Covariance())
expected = [[1, 2], [3, 4]]
c = Covariance.from_matrix(2, 'f', expected)
f.covariance = c
#nose.tools.assert_equal(f.covariance, c)
# Should also work if we just give it the raw iterable
f.covariance = expected
def test_set_covar(self):
f = Feature(ctype=ctypes.c_double)
nose.tools.assert_equal(f.covariance, Covariance())
expected = [[1, 2], [3, 4]]
c = Covariance(2, ctypes.c_double, expected)
f.covariance = c
nose.tools.assert_equal(f.covariance, c)
# Should also work if we just give it the raw iterable
f.covariance = expected
nose.tools.assert_equal(f.covariance, c)
# And for floats...
f = Feature(ctype=ctypes.c_float)
nose.tools.assert_equal(f.covariance, Covariance())
expected = [[1, 2], [3, 4]]
c = Covariance(2, ctypes.c_float, expected)
f.covariance = c
nose.tools.assert_equal(f.covariance, c)
# Should also work if we just give it the raw iterable
f.covariance = expected
nose.tools.assert_equal(f.covariance, c)
def test_set_covar(self):
f = Feature(ctype='d')
#nose.tools.assert_equal(f.covariance, Covariance.new_covar())
expected = [[1, 2],
[3, 4]]
c = Covariance.from_matrix(2, 'd', expected)
f.covariance = c
#nose.tools.assert_equal(f.covariance, c)
# Should also work if we just give it the raw iterable
f.covariance = expected
#nose.tools.assert_equal(f.covariance, c)
# And for floats...
f = Feature(ctype='f')
#nose.tools.assert_equal(f.covariance, Covariance())
expected = [[1, 2],
[3, 4]]
c = Covariance.from_matrix(2, 'f', expected)
f.covariance = c
#nose.tools.assert_equal(f.covariance, c)
# Should also work if we just give it the raw iterable
f.covariance = expected