code: def test_convolve1d3o_complex(self, dtype, xp, shape):
      # Just check that we can call the function
      a = testing.shaped_random((200,), xp=xp, dtype=dtype, scale=2) - (
          1 + 1j
      )
      b = testing.shaped_random(shape, xp=xp, dtype=dtype, scale=2) - (
          1 + 1j
      )
      if xp is cupy:
          return signal.convolve1d3o(a, b)
      else:
          assert xp is numpy
          return self._convolve1d3o(a, b)
  
file_path: cupy/tests/cupyx_tests/signal_tests/convolution_tests/test_convolve.py
imports: import numpy
  import pytest
  import cupy
  from cupy import testing
  from cupyx import signal
label_desc: Use image node_id 3 for calling the TestConvolve1d3o obj's underlying member method code with example usage: obj.test_convolve1d3o_complex(dtype, xp, shape) and returns: signal, self