def _scalar_unpy(self):
byteval = struct.pack(fmt, self)
scalar = mx.create_numeric_array(dims=(1,1), mxclass=mxclass, wrap=True)
assert len(byteval) == scalar._get_element_size(), (
"Datatype size mismatch")
scalar._set_element(byteval)
return scalar
def _scalar_unpy(self):
byteval = struct.pack(fmt, self)
scalar = mx.create_numeric_array(dims=(1, 1),
mxclass=mxclass,
wrap=True)
assert len(byteval) == scalar._get_element_size(), (
"Datatype size mismatch")
scalar._set_element(byteval)
return scalar
def numpy_ndarray_unpy(self):
'''
Converts a numpy array to an mxArray. An appropriate
data type is selected using select_mxclass_by_dtype.
Fattens the array or scalar out to 2d if necessary.
See Issue #5
'''
self = np.atleast_2d(self)
mxclass = select_mxclass_by_dtype(self.dtype.type)
cobj = mx.create_numeric_array(mxclass=mxclass, dims=self.shape)
wrapper = mx.wrap_pycobject(cobj)
wrap_array = np.asarray(wrapper)
wrap_array[...] = self
return wrapper
def numpy_ndarray_unpy(self):
'''
Converts a numpy array to an mxArray. An appropriate
data type is selected using select_mxclass_by_dtype.
Fattens the array or scalar out to 2d if necessary.
See Issue #5
'''
self = np.atleast_2d(self)
mxclass = select_mxclass_by_dtype(self.dtype.type)
cobj = mx.create_numeric_array(mxclass = mxclass,
dims = self.shape)
wrapper = mx.wrap_pycobject(cobj)
wrap_array = np.asarray(wrapper)
wrap_array[...] = self
return wrapper
def bare_array(dims, mxclass=mx.DOUBLE):
return mx.create_numeric_array(dims, mxclass, wrap=False)
