2877abcbc7ac4be1a1d38551e2a52b143cfd63c6,scipy/stats/_binned_statistic.py,,_bin_numbers,#Any#Any#Any#Any#,680

Before Change

    // Using `digitize`, values that fall on an edge are put in the right bin.
    // For the rightmost bin, we want values equal to the right
    // edge to be counted in the last bin, and not as an outlier.
    exceptions = (RuntimeWarning,)
    if sys.version_info >= (3, 8):
        exceptions += (OverflowError,)  // Python3.8 int(np.inf) throws this
    for i in xrange(Ndim):
        // Find the rounding precision
        try:

After Change

        dedges_min = dedges[i].min()
        if dedges_min == 0:
            raise ValueError("The smallest edge difference is numerically 0.")
        decimal = int(-np.log10(dedges_min)) + 6
        // Find which points are on the rightmost edge.
        on_edge = np.where(np.around(sample[:, i], decimal) ==
                           np.around(edges[i][-1], decimal))[0]

Instances