Function encode_data_results_256

experiments/python/results.py:175–202

()

def encode_data_results_256():
    LENGTH = 256

    pq_times = {}
    pq_times[8] = 'pq encode (10x5): 6.696 (149342/s), 6.688 (149521/s), 6.639 (150625/s), 6.648 (150421/s), 6.711 (149009/s), 6.67 (149925/s), 6.634 (150738/s), 6.684 (149611/s), 6.663 (150082/s), 6.67 (149925/s),'
    pq_times[16] = 'pq encode (10x5): 7.181 (139256/s), 7.194 (139004/s), 7.179 (139295/s), 7.146 (139938/s), 7.123 (140390/s), 7.123 (140390/s), 7.162 (139625/s), 7.148 (139899/s), 7.116 (140528/s), 7.193 (139024/s),'
    pq_times[32] = 'pq encode (10x5): 8.089 (123624/s), 8.175 (122324/s), 8.117 (123198/s), 8.096 (123517/s), 8.48 (117924/s), 8.071 (123900/s), 8.126 (123061/s), 8.123 (123107/s), 8.069 (123931/s), 8.21 (121802/s),'

    opq_times = {}
    opq_times[8] = 'opq encode (10x5): 8.441 (118469/s), 8.385 (119260/s), 8.368 (119502/s), 8.39 (119189/s), 8.355 (119688/s), 8.388 (119217/s), 8.383 (119289/s), 8.412 (118877/s), 8.401 (119033/s), 8.391 (119175/s),'
    opq_times[16] = 'opq encode (10x5): 8.88 (112612/s), 8.786 (113817/s), 8.874 (112688/s), 8.834 (113199/s), 8.874 (112688/s), 8.902 (112334/s), 8.899 (112372/s), 8.925 (112044/s), 8.867 (112777/s), 8.907 (112271/s),'
    opq_times[32] = 'opq encode (10x5): 9.761 (102448/s), 9.718 (102901/s), 9.717 (102912/s), 9.726 (102817/s), 9.908 (100928/s), 9.796 (102082/s), 10.164 (98386/s), 9.792 (102124/s), 9.735 (102722/s), 9.729 (102785/s),'

    bolt_times = {}
    bolt_times[8] = 'bolt encode (10x5): 3.43 (2915451/s), 3.586 (2788622/s), 3.421 (2923121/s), 3.408 (2934272/s), 3.409 (2933411/s), 3.406 (2935995/s), 3.407 (2935133/s), 3.412 (2930832/s), 3.411 (2931691/s), 3.409 (2933411/s),'
    bolt_times[16] = 'bolt encode (10x5): 3.93 (2544529/s), 3.687 (2712232/s), 3.826 (2613695/s), 4.007 (2495632/s), 3.705 (2699055/s), 3.976 (2515090/s), 3.709 (2696144/s), 3.681 (2716653/s), 3.693 (2707825/s), 3.802 (2630194/s),'
    bolt_times[32] = 'bolt encode (10x5): 5.039 (1984520/s), 4.591 (2178174/s), 5.081 (1968116/s), 4.697 (2129018/s), 4.591 (2178174/s), 4.763 (2099517/s), 4.832 (2069536/s), 4.805 (2081165/s), 4.961 (2015722/s), 4.665 (2143622/s),'

    out_dicts = []
    algos = ['Bolt', 'PQ', 'OPQ']
    dicts = [bolt_times, pq_times, opq_times]
    for algo, d in zip(algos, dicts):
        for nbytes, s in d.items():
            thruputs = _extract_thruput(s)
            out_dicts += [{'algo': algo, 'nbytes': nbytes, 'length': LENGTH,
                          'trial': i, 'y': t} for i, t in enumerate(thruputs)]

    return pd.DataFrame.from_records(out_dicts)


def encode_lut_results():