def test_constructor(self):
# missing data arg
with assert_raises(TypeError):
# noinspection PyArgumentList
HaplotypeDaskArray.from_array()
# data has wrong dtype
data = 'foo bar'
with assert_raises(ValueError):
HaplotypeDaskArray.from_array(data)
# data has wrong dtype
data = np.array([4., 5., 3.7])
with assert_raises(ValueError):
HaplotypeDaskArray.from_array(data)
# data has wrong dimensions
data = np.array([1, 2, 3])
with assert_raises(ValueError):
HaplotypeDaskArray.from_array(data)
# data has wrong dimensions
data = np.array([[[1, 2], [3, 4]]]) # use GenotypeDaskArray instead
with assert_raises(ValueError):
HaplotypeDaskArray.from_array(data)
# valid data (typed)
hd = self.setup_instance(np.array(haplotype_data, dtype='i1'))
aeq(haplotype_data, hd)
eq(np.int8, hd.dtype)
def test_constructor(self):
# missing data arg
with assert_raises(TypeError):
# noinspection PyArgumentList
HaplotypeDaskArray.from_array()
# data has wrong dtype
data = 'foo bar'
with assert_raises(ValueError):
HaplotypeDaskArray.from_array(data)
# data has wrong dtype
data = np.array([4., 5., 3.7])
with assert_raises(ValueError):
HaplotypeDaskArray.from_array(data)
# data has wrong dimensions
data = np.array([1, 2, 3])
with assert_raises(ValueError):
HaplotypeDaskArray.from_array(data)
# data has wrong dimensions
data = np.array([[[1, 2], [3, 4]]]) # use GenotypeDaskArray instead
with assert_raises(ValueError):
HaplotypeDaskArray.from_array(data)
# valid data (typed)
hd = self.setup_instance(np.array(haplotype_data, dtype='i1'))
aeq(haplotype_data, hd)
eq(np.int8, hd.dtype)
def setup_instance(self, data):
return HaplotypeDaskArray.from_array(data, chunks=(2, 2))
def setup_instance(self, data):
return HaplotypeDaskArray.from_array(data, chunks=(2, 2))
def setup_instance(self, data, dtype=None):
return HaplotypeDaskArray.from_array(np.asarray(data, dtype=dtype),
chunks=(2, 2))
