def __init__(self, space, w_vector):
W_AbstractSeqIterObject.__init__(self, w_vector)
# TODO: this should live in rpythonize.py or something so that the
# imports can move to the top w/o getting circles
from pypy.module._cppyy import interp_cppyy
assert isinstance(w_vector, interp_cppyy.W_CPPInstance)
vector = space.interp_w(interp_cppyy.W_CPPInstance, w_vector)
self.overload = vector.cppclass.get_overload("__getitem__")
from pypy.module._cppyy import capi
v_type = capi.c_stdvector_valuetype(space, vector.cppclass.name)
v_size = capi.c_stdvector_valuesize(space, vector.cppclass.name)
if not v_type or not v_size:
raise NotImplementedError # fallback on getitem
w_arr = vector.cppclass.get_overload("data").call(w_vector, [])
arr = space.interp_w(W_ArrayInstance, w_arr, can_be_None=True)
if not arr:
raise OperationError(space.w_StopIteration, space.w_None)
self.data = rffi.cast(rffi.VOIDP, space.uint_w(arr.getbuffer(space)))
from pypy.module._cppyy import converter
self.converter = converter.get_converter(space, v_type, '')
self.len = space.uint_w(
vector.cppclass.get_overload("size").call(w_vector, []))
self.stride = v_size
def __init__(self, space, w_vector):
W_AbstractSeqIterObject.__init__(self, w_vector)
# TODO: this should live in rpythonize.py or something so that the
# imports can move to the top w/o getting circles
from pypy.module._cppyy import interp_cppyy
assert isinstance(w_vector, interp_cppyy.W_CPPInstance)
vector = space.interp_w(interp_cppyy.W_CPPInstance, w_vector)
v_type = c_resolve_name(space, vector.clsdecl.name + '::value_type')
v_size = c_size_of_type(space, v_type)
if not v_type or not v_size:
raise NotImplementedError # fallback on getitem
from pypy.module._cppyy import converter
self.converter = converter.get_converter(space, v_type, '')
# this 'data' is from the decl, so not the pythonized data from pythonify.py
w_arr = space.call_obj_args(vector.clsdecl.get_overload('data'),
w_vector, Arguments(space, []))
arr = space.interp_w(W_ArrayInstance, w_arr, can_be_None=True)
if not arr:
raise OperationError(space.w_StopIteration, space.w_None)
self.data = rffi.cast(rffi.CCHARP, space.uint_w(arr.getbuffer(space)))
self.len = space.uint_w(
space.call_obj_args(vector.clsdecl.get_overload('size'), w_vector,
Arguments(space, [])))
self.stride = v_size
def __init__(self, space, clsdecl, address, length, dimensions):
from pypy.module._cppyy import converter
name = clsdecl.name
self.clssize = int(intmask(capi.c_size_of_klass(space, clsdecl)))
if dimensions:
name = name + '[' + dimensions[0] + ']'
for num in dimensions:
self.clssize *= int(num)
dimensions = ':'.join(dimensions)
self.converter = converter.get_converter(space, name, dimensions)
self.baseaddress = address
self.length = length