numpy.core.tests.test_simd._Test

class documentation

class _Test_Utility:

Undocumented

Method	`__getattr__`	To call NPV intrinsics without the attribute 'npyv' and auto suffixing intrinsics according to class attribute 'sfx'
Method	`_cpu_features`	Undocumented
Method	`_data`	Create list of consecutive numbers according to number of vector's lanes.
Method	`_int_clip`	Undocumented
Method	`_int_max`	Undocumented
Method	`_int_min`	Undocumented
Method	`_is_fp`	Undocumented
Method	`_is_signed`	Undocumented
Method	`_is_unsigned`	Undocumented
Method	`_nan`	Undocumented
Method	`_ninfinity`	Undocumented
Method	`_pinfinity`	Undocumented
Method	`_scalar_size`	Undocumented
Method	`_to_unsigned`	Undocumented
Method	`_true_mask`	Undocumented
Class Variable	`npyv`	Undocumented
Class Variable	`sfx`	Undocumented
Class Variable	`target_name`	Undocumented

def __getattr__(self, attr):

To call NPV intrinsics without the attribute 'npyv' and auto suffixing intrinsics according to class attribute 'sfx'

def _cpu_features(self):

Undocumented

def _data(self, start=None, count=None, reverse=False):

overridden in numpy.core.tests.test_simd._SIMD_BOOL

Create list of consecutive numbers according to number of vector's lanes.

def _int_clip(self, seq):

Undocumented

def _int_max(self):

Undocumented

def _int_min(self):

Undocumented

def _is_fp(self):

Undocumented

def _is_signed(self):

Undocumented

def _is_unsigned(self):

Undocumented

def _nan(self):

Undocumented

def _ninfinity(self):

Undocumented

def _pinfinity(self):

Undocumented

def _scalar_size(self):

Undocumented

def _to_unsigned(self, vector):

Undocumented

def _true_mask(self):

Undocumented

npyv =

Undocumented

sfx =

Undocumented

target_name =

Undocumented

numpy.core.tests.test_simd._Test_Utility