numpy.core.tests.test_dtype.TestDTypeMakeCanonical

class documentation

class TestDTypeMakeCanonical: (source)

Undocumented

Method	`check_canonical`	Check most properties relevant to "canonical" versions of a dtype, which is mainly native byte order for datatypes supporting this.
Method	`test_make_canonical_hypothesis`	Undocumented
Method	`test_object_flag_not_inherited`	Undocumented
Method	`test_simple`	Undocumented
Method	`test_structured`	Undocumented

def check_canonical(self, dtype, canonical): (source) ¶

Check most properties relevant to "canonical" versions of a dtype, which is mainly native byte order for datatypes supporting this.

The main work is checking structured dtypes with fields, where we reproduce most the actual logic used in the C-code.

@pytest.mark.slow
@hypothesis.given(dtype=hynp.nested_dtypes())
def test_make_canonical_hypothesis(self, dtype): (source) ¶

Undocumented

def test_object_flag_not_inherited(self): (source) ¶

Undocumented

def test_simple(self): (source) ¶

Undocumented

@pytest.mark.slow
@hypothesis.given(dtype=hypothesis.extra.numpy.array_dtypes(subtype_strategy=hypothesis.extra.numpy.array_dtypes(), min_size=5, max_size=10, allow_subarrays=True))
def test_structured(self, dtype): (source) ¶

Undocumented