def histogram(a, bins):
    """
    Compute the histogram of a set of data.

    :param a: Input data
    :param bins: int or sequence of scalars or str, optional
    :type a: list | tuple
    :type bins: int | list[int] | list[str]
    :return:
    """
    if any(map(lambda x: x < 0, diff(bins))):
        raise ValueError(
            'bins must increase monotonically.')

    try:
        sa = sorted(a)
    except TypeError:
        # Perhaps just a single value? Treat as a list and carry on
        sa = sorted([a])

    # import numpy as np
    # nl = np.searchsorted(sa, bins[:-1], 'left')
    # nr = np.searchsorted(sa, bins[-1], 'right')
    # nn = np.r_[nl, nr]
    #
    # # cl = list(accumulate(Counter(map(lambda x: bisect_left(bins[:-1], x), sa)))
    # # print("cl")
    # # print([cl[i] for i in range(len(bins))])
    # print("nl")
    # print(list(nl))
    # # print(Counter(map(lambda x: bisect_right([bins[-1]], x), sa)))
    # print("nr")
    # print([nr])
    # print("nn")
    # print(list(nn))
    # print("hist")
    # print(list(np.diff(nn)))
    # print(list(np.histogram(a, bins)[0]))

    nl = list(accumulate([Counter(map(lambda x: bisect_left(bins[:-1], x), sa))[i] for i in range(len(bins) - 1)]))
    # print("nl")
    # print(nl)
    nr = Counter(map(lambda x: bisect_right([bins[1]], x), sa))[1]
    # print(nl)
    # print(nr)
    n = list(nl) + [nr]

    return diff(n), bins
Compute the histogram of a set of data.

    :param a: Input data
    :param bins: int or sequence of scalars or str, optional
    :type a: list | tuple
    :type bins: int | list[int] | list[str]
    :return: