catapult.py 文件源码

python
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项目:bolero 作者: rock-learning 项目源码 文件源码
def _generate_segments(self, n_segments, n_superpositions=5):
        # Assume that the actual surface is a superposition of sinusoid
        # functions from which sample n_segments points and connect those
        # linearly

        # Generate sinusoids of the form -5 * sin(a * x + b)
        a = np.logspace(0, 0.5, n_superpositions)
        b = (0.25 * self.random_state.rand(n_superpositions) - 0.125) * np.pi

        # Generate x and y components of segments
        x = np.hstack((np.sort(self.random_state.rand(n_segments) * 8.0)))
        y = (-5 * np.sin(a * x[:, None] + b)).mean(axis=1)

        # Start at (0, 0)
        x[0] = y[0] = 0
        # Planar segment at the end which is long enough to avoid shooting
        # over the border
        x[-1] = 100.0
        y[-1] = y[-2]

        return np.vstack((x, y)).T
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