def __call__(self, *args, **kwargs):
result = np.empty(self.shape, dtype=object)
for ijk in ndindex(self.shape):
item = self[ijk]
if item is not None:
result[ijk] = item(*args, **kwargs)
return _squash(result)
def __call__(self, *args, **kwargs):
result = np.empty(self.shape, dtype=object)
for ijk in ndindex(self.shape):
item = self[ijk]
if item is not None:
result[ijk] = item(*args, **kwargs)
return _squash(result)
def __getattr__(self, attr):
result = CallableArray(self.fit_array.shape, dtype=object)
for ijk in ndindex(result.shape):
if self.mask[ijk]:
result[ijk] = getattr(self.fit_array[ijk], attr)
return _squash(result, self.mask)
def __getattr__(self, attr):
result = CallableArray(self.fit_array.shape, dtype=object)
for ijk in ndindex(result.shape):
if self.mask[ijk]:
result[ijk] = getattr(self.fit_array[ijk], attr)
return _squash(result, self.mask)