def process_rt_data(source_data, is_bw=False):
    """ process data"""
    print("source_data length:", len(source_data))
    filter_data = {}
    for index in range(2):

        filter_mask = source_data[:, 2] == index

        if np.any(filter_mask):
            filter_data[index] = sum_data(round_data(source_data[filter_mask]), is_bw)
    return filter_data
def process_rt_data(source_data, is_bw=False):
    """ process data"""
    print("source_data length:", len(source_data))
    filter_data = {}
    for index in range(2):

        filter_mask = source_data[:, 2] == index

        if np.any(filter_mask):
            filter_data[index] = sum_data(round_data(source_data[filter_mask]), is_bw)
    return filter_data
def process_rt_data ( source_data , is_bw = False ) : print ( "source_data length:" , len ( source_data ) ) filter_data = { } for index in range ( 2 ) : filter_mask = source_data [ : , 2 ] == index if np . any ( filter_mask ) : filter_data [ index ] = sum_data ( round_data ( source_data [ filter_mask ] ) , is_bw ) return filter_data
process data
process data