def get_AbstractType_list(self):
num_ints = self.get_int()
num_doubles = self.get_int()
num_chars = self.get_int()
return_struct = AbstractType()
if num_ints > 0:
s = self.recv_buffer.read(num_ints * kIntSize)
return_struct.intArray = list(struct.unpack("!%di" % num_ints, s))
if num_doubles > 0:
s = self.recv_buffer.read(num_doubles * kDoubleSize)
return_struct.doubleArray = list(struct.unpack("!%dd" % num_doubles, s))
if num_chars > 0:
s = self.recv_buffer.read(num_chars * kCharSize)
return_struct.charArray = list(struct.unpack("!%dc" % num_chars, s))
return return_struct
def get_AbstractType_numpy(self):
num_ints = self.get_int()
num_doubles = self.get_int()
num_chars = self.get_int()
return_struct = AbstractType()
if num_ints > 0:
s = self.recv_buffer.read(num_ints * kIntSize)
assert kIntSize == 4
return_struct.intArray = numpy.frombuffer(s,
dtype=numpy_int_type,
count=num_ints)
if num_doubles > 0:
s = self.recv_buffer.read(num_doubles * kDoubleSize)
return_struct.doubleArray = numpy.frombuffer(s,
count=num_doubles,
dtype=numpy_float_type)
if num_chars > 0:
s = self.recv_buffer.read(num_chars * kCharSize)
return_struct.charArray = numpy.frombuffer(s,
count=num_chars,
dtype=numpy_char_type)
return return_struct
