def compute(self):
result = W_NDimArray(self.size, self.shape, self.find_dtype())
shapelen = len(self.shape)
sig = self.find_sig()
frame = sig.create_frame(self)
ri = ArrayIterator(self.size)
while not ri.done():
numpy_driver.jit_merge_point(sig=sig,
shapelen=shapelen,
result_size=self.size,
frame=frame,
ri=ri,
self=self, result=result)
result.dtype.setitem(result.storage, ri.offset,
sig.eval(frame, self))
frame.next(shapelen)
ri = ri.next(shapelen)
return result
def compute(self):
result = W_NDimArray(self.size, self.shape, self.find_dtype())
shapelen = len(self.shape)
sig = self.find_sig()
frame = sig.create_frame(self)
ri = ArrayIterator(self.size)
while not ri.done():
numpy_driver.jit_merge_point(sig=sig,
shapelen=shapelen,
result_size=self.size,
frame=frame,
ri=ri,
self=self,
result=result)
result.dtype.setitem(result.storage, ri.offset,
sig.eval(frame, self))
frame.next(shapelen)
ri = ri.next(shapelen)
return result
def array(space, w_item_or_iterable, w_dtype=None, w_order=NoneNotWrapped):
# find scalar
if not space.issequence_w(w_item_or_iterable):
if space.is_w(w_dtype, space.w_None):
w_dtype = interp_ufuncs.find_dtype_for_scalar(
space, w_item_or_iterable)
dtype = space.interp_w(
interp_dtype.W_Dtype,
space.call_function(space.gettypefor(interp_dtype.W_Dtype),
w_dtype))
return scalar_w(space, dtype, w_item_or_iterable)
if w_order is None:
order = 'C'
else:
order = space.str_w(w_order)
if order != 'C': # or order != 'F':
raise operationerrfmt(space.w_ValueError, "Unknown order: %s",
order)
shape, elems_w = _find_shape_and_elems(space, w_item_or_iterable)
# they come back in C order
size = len(elems_w)
if space.is_w(w_dtype, space.w_None):
w_dtype = None
for w_elem in elems_w:
w_dtype = interp_ufuncs.find_dtype_for_scalar(
space, w_elem, w_dtype)
if w_dtype is interp_dtype.get_dtype_cache(space).w_float64dtype:
break
if w_dtype is None:
w_dtype = space.w_None
dtype = space.interp_w(
interp_dtype.W_Dtype,
space.call_function(space.gettypefor(interp_dtype.W_Dtype), w_dtype))
arr = W_NDimArray(size, shape[:], dtype=dtype, order=order)
shapelen = len(shape)
arr_iter = ArrayIterator(arr.size)
for i in range(len(elems_w)):
w_elem = elems_w[i]
dtype.setitem(arr.storage, arr_iter.offset,
dtype.coerce(space, w_elem))
arr_iter = arr_iter.next(shapelen)
return arr
def array(space, w_item_or_iterable, w_dtype=None, w_order=NoneNotWrapped):
# find scalar
if not space.issequence_w(w_item_or_iterable):
if space.is_w(w_dtype, space.w_None):
w_dtype = interp_ufuncs.find_dtype_for_scalar(space,
w_item_or_iterable)
dtype = space.interp_w(interp_dtype.W_Dtype,
space.call_function(space.gettypefor(interp_dtype.W_Dtype), w_dtype)
)
return scalar_w(space, dtype, w_item_or_iterable)
if w_order is None:
order = 'C'
else:
order = space.str_w(w_order)
if order != 'C': # or order != 'F':
raise operationerrfmt(space.w_ValueError, "Unknown order: %s",
order)
shape, elems_w = _find_shape_and_elems(space, w_item_or_iterable)
# they come back in C order
size = len(elems_w)
if space.is_w(w_dtype, space.w_None):
w_dtype = None
for w_elem in elems_w:
w_dtype = interp_ufuncs.find_dtype_for_scalar(space, w_elem,
w_dtype)
if w_dtype is interp_dtype.get_dtype_cache(space).w_float64dtype:
break
if w_dtype is None:
w_dtype = space.w_None
dtype = space.interp_w(interp_dtype.W_Dtype,
space.call_function(space.gettypefor(interp_dtype.W_Dtype), w_dtype)
)
arr = W_NDimArray(size, shape[:], dtype=dtype, order=order)
shapelen = len(shape)
arr_iter = ArrayIterator(arr.size)
for i in range(len(elems_w)):
w_elem = elems_w[i]
dtype.setitem(arr.storage, arr_iter.offset,
dtype.coerce(space, w_elem))
arr_iter = arr_iter.next(shapelen)
return arr
def allocate_iter(self, arr, transforms):
return ArrayIterator(arr.size).apply_transformations(arr, transforms)
