6148d1b5107a295310d06adbabff4dc6dee9d33e,pymc3/distributions/bound.py,_Bounded,_random,#_Bounded#Any#Any#Any#Any#,48

Before Change

        if lower.size > 1 or upper.size > 1:
            raise ValueError("Drawing samples from distributions with "
                             "array-valued bounds is not supported.")
        samples = np.zeros(size, dtype=self.dtype).flatten()
        i, n = 0, len(samples)
        while i < len(samples):
            sample = np.atleast_1d(self._wrapped.random(point=point, size=n))

            select = sample[np.logical_and(sample >= lower, sample <= upper)]
            samples[i:(i + len(select))] = select[:]
            i += len(select)
            n -= len(select)
        if size is not None:

After Change

        samples = []
        s = 0
        while s < total_size:
            sample = np.atleast_1d(
                self._wrapped.random(point=point, size=total_size)
            ).flatten()

            select = sample[np.logical_and(sample >= lower, sample <= upper)]
            samples.append(select)
            s += len(select)

Instances