def descr_getitem(self, space, w_idx):
if not (space.isinstance_w(w_idx, space.w_int) or space.isinstance_w(w_idx, space.w_slice)):
raise oefmt(space.w_IndexError, "unsupported iterator index")
try:
start, stop, step, length = space.decode_index4(w_idx, self.iter.size)
state = self.iter.goto(start)
if length == 1:
return self.iter.getitem(state)
base = self.base
res = W_NDimArray.from_shape(space, [length], base.get_dtype(), base.get_order(), w_instance=base)
return loop.flatiter_getitem(res, self.iter, state, step)
finally:
self.iter.reset(self.state, mutate=True)
def descr_getitem(self, space, w_idx):
if not (space.isinstance_w(w_idx, space.w_int) or
space.isinstance_w(w_idx, space.w_slice)):
raise oefmt(space.w_IndexError, 'unsupported iterator index')
self.reset()
base = self.base
start, stop, step, length = space.decode_index4(w_idx, base.get_size())
base_iter, base_state = base.create_iter()
base_state = base_iter.next_skip_x(base_state, start)
if length == 1:
return base_iter.getitem(base_state)
res = W_NDimArray.from_shape(space, [length], base.get_dtype(),
base.get_order(), w_instance=base)
return loop.flatiter_getitem(res, base_iter, base_state, step)
def descr_getitem(self, space, w_idx):
if not (space.isinstance_w(w_idx, space.w_int) or
space.isinstance_w(w_idx, space.w_slice)):
raise OperationError(space.w_IndexError,
space.wrap('unsupported iterator index'))
self.reset()
base = self.base
start, stop, step, length = space.decode_index4(w_idx, base.get_size())
base_iter = base.create_iter()
base_iter.next_skip_x(start)
if length == 1:
return base_iter.getitem()
res = W_NDimArray.from_shape(space, [length], base.get_dtype(),
base.get_order(), w_instance=base)
return loop.flatiter_getitem(res, base_iter, step)
def descr_getitem(self, space, w_idx):
if not (space.isinstance_w(w_idx, space.w_int) or
space.isinstance_w(w_idx, space.w_slice)):
raise oefmt(space.w_IndexError, 'unsupported iterator index')
try:
start, stop, step, length = space.decode_index4(w_idx, self.iter.size)
state = self.iter.goto(start)
if length == 1:
return self.iter.getitem(state)
base = self.base
res = W_NDimArray.from_shape(space, [length], base.get_dtype(),
base.get_order(), w_instance=base)
return loop.flatiter_getitem(res, self.iter, state, step)
finally:
self.iter.reset(self.state, mutate=True)