def test_constructor(self):
# missing data arg
with assert_raises(TypeError):
# noinspection PyArgumentList
AlleleCountsDaskArray.from_array()
# data has wrong dtype
data = 'foo bar'
with assert_raises(ValueError):
AlleleCountsDaskArray.from_array(data)
# data has wrong dtype
data = np.array([4., 5., 3.7])
with assert_raises(ValueError):
AlleleCountsDaskArray.from_array(data)
# data has wrong dimensions
data = np.array([1, 2, 3])
with assert_raises(ValueError):
AlleleCountsDaskArray.from_array(data)
# data has wrong dimensions
data = np.array([[[1, 2], [3, 4]]])
with assert_raises(ValueError):
AlleleCountsDaskArray.from_array(data)
# valid data (typed)
hd = self.setup_instance(np.array(allele_counts_data, dtype='u2'))
aeq(allele_counts_data, hd)
eq(np.uint16, hd.dtype)
def test_constructor(self):
# missing data arg
with assert_raises(TypeError):
# noinspection PyArgumentList
AlleleCountsDaskArray.from_array()
# data has wrong dtype
data = 'foo bar'
with assert_raises(ValueError):
AlleleCountsDaskArray.from_array(data)
# data has wrong dtype
data = np.array([4., 5., 3.7])
with assert_raises(ValueError):
AlleleCountsDaskArray.from_array(data)
# data has wrong dimensions
data = np.array([1, 2, 3])
with assert_raises(ValueError):
AlleleCountsDaskArray.from_array(data)
# data has wrong dimensions
data = np.array([[[1, 2], [3, 4]]])
with assert_raises(ValueError):
AlleleCountsDaskArray.from_array(data)
# valid data (typed)
hd = self.setup_instance(np.array(allele_counts_data, dtype='u2'))
aeq(allele_counts_data, hd)
eq(np.uint16, hd.dtype)
def setup_instance(self, data):
return AlleleCountsDaskArray.from_array(data, chunks=(2, None))
def setup_instance(self, data):
return AlleleCountsDaskArray.from_array(data, chunks=(2, None))
