def time_convolve2d(self, mode):
        for a, b in self.pairs:
            if a.shape[0] > b.shape[0]:
                continue
            signal.fftconvolve(a, b, mode=mode)
dataset/ETHPy150Open scipy/scipy/benchmarks/benchmarks/signal.py/FFTConvolve.time_convolve2d/swapped operands of `>`