a5ca44a569833e73e67c4ec07ac077b0a088ca2f,hmmlearn/utils.py,,iter_from_X_lengths,#,36

Before Change

        yield 0, len(X)
    else:
        n_sequences = len(lengths)
        end = np.cumsum(lengths)
        start = end - lengths
        for i in range(n_sequences):
            yield start[i], end[i]

After Change

        yield 0, len(X)
    elif lengths:
        n_samples = X.shape[0]
        end = np.cumsum(lengths).astype(np.int32)
        start = end - lengths
        if end[-1] > n_samples:
            raise ValueError("More than {0:d} samples in lengths array {1!s}"
                             .format(n_samples, lengths))

Instances