コード例 #1
0
    # write the joined one
    join_filename = os.path.join(dir1, "ft_compare_performance.csv")
    df_perf_diff.to_csv(join_filename, sep=",", index=False)
    FastTripsLogger.info("Wrote joined performance info to %s" % join_filename)


if __name__ == "__main__":

    if len(sys.argv) != 3:
        print USAGE
        print sys.argv
        sys.exit(2)

    OUTPUT_DIR1 = sys.argv[1]
    OUTPUT_DIR2 = sys.argv[2]

    fasttrips.setupLogging(os.path.join(OUTPUT_DIR1, "ft_compare_info.log"),
                           os.path.join(OUTPUT_DIR1, "ft_compare_debug.log"),
                           logToConsole=True)

    pd.set_option('display.width', 300)
    for output_file in [
            "ft_output_passengerPaths.txt", "ft_output_passengerTimes.txt",
            "ft_output_loadProfile.txt"
    ]:
        compare_file(OUTPUT_DIR1, OUTPUT_DIR2, output_file)

    compare_pathset(OUTPUT_DIR1, OUTPUT_DIR2)
    compare_performance(OUTPUT_DIR1, OUTPUT_DIR2)
コード例 #2
0
ファイル: compare_output.py プロジェクト: billyc/fast-trips
        elif str(df_diff[col1].dtype) == 'object':
            status = "%d/%d objects differ" % (len(df_diff.loc[df_diff[coldiff]==True]), len(df_diff))
        elif str(df_diff[col1].dtype)[:3] == 'int':
            status = "Values differ by [% 8.2f,% 8.2f] with %d values differing" % (df_diff[coldiff].min(), df_diff[coldiff].max(), len(df_diff.loc[df_diff[coldiff]!=0]))
        else:
            status = "Values differ by [% 8.2f,% 8.2f] with mean % 8.2f" % (df_diff[coldiff].min(), df_diff[coldiff].max(), df_diff[coldiff].mean())
        FastTripsLogger.info(" %-20s  %s" % (colname, status))


        new_cols.extend([col1, col2, coldiff])

    # df_diff = df_diff[new_cols]

if __name__ == "__main__":

    if len(sys.argv) != 3:
        print USAGE
        print sys.argv
        sys.exit(2)

    OUTPUT_DIR1 = sys.argv[1]
    OUTPUT_DIR2 = sys.argv[2]

    fasttrips.setupLogging("ft_compare_info.log", "ft_compare_debug.log", logToConsole=True)

    pandas.set_option('display.width', 300)
    for output_file in ["ft_output_passengerPaths.dat",
                        "ft_output_passengerTimes.dat",
                        "ft_output_loadProfile.dat"]:
        compare_file(OUTPUT_DIR1, OUTPUT_DIR2, output_file)
コード例 #3
0
    df2.drop([fasttrips.Performance.PERFORMANCE_COLUMN_TIME_LABELING, fasttrips.Performance.PERFORMANCE_COLUMN_TIME_ENUMERATING], axis=1, inplace=True)

    df_perf_diff  = df1.merge(right=df2, how='outer', on=['iteration','trip_list_id_num'], suffixes=('_1','_2'))

    # write the joined one
    join_filename = os.path.join(dir1, "ft_compare_performance.csv")
    df_perf_diff.to_csv(join_filename, sep=",", index=False)
    FastTripsLogger.info("Wrote joined performance info to %s" % join_filename)

if __name__ == "__main__":

    if len(sys.argv) != 3:
        print USAGE
        print sys.argv
        sys.exit(2)

    OUTPUT_DIR1 = sys.argv[1]
    OUTPUT_DIR2 = sys.argv[2]

    fasttrips.setupLogging(os.path.join(OUTPUT_DIR1, "ft_compare_info.log"),
                           os.path.join(OUTPUT_DIR1, "ft_compare_debug.log"), logToConsole=True)

    pandas.set_option('display.width', 300)
    for output_file in ["ft_output_passengerPaths.txt",
                        "ft_output_passengerTimes.txt",
                        "ft_output_loadProfile.txt"]:
        compare_file(OUTPUT_DIR1, OUTPUT_DIR2, output_file)

    compare_pathset(OUTPUT_DIR1, OUTPUT_DIR2)
    compare_performance(OUTPUT_DIR1, OUTPUT_DIR2)
コード例 #4
0
ファイル: runTest.py プロジェクト: billyc/fast-trips
        print sys.argv
        sys.exit(2)

    INPUT_DIR, subdir = os.path.split(sys.argv[1])
    OUTPUT_DIR  = sys.argv[2]
    test_pat    = re.compile(r"pax(\d+)_(deterministic|stochastic)_iter(\d+)_(cap\d+|nocap)")
    if not os.path.exists(OUTPUT_DIR): os.mkdir(OUTPUT_DIR)
    pandas.set_option('display.width', 300)
    m = test_pat.match(subdir)

    print "subdir = [%s]" % subdir
    if not os.path.exists(os.path.join(OUTPUT_DIR, subdir)):
        os.mkdir(os.path.join(OUTPUT_DIR, subdir))

    fasttrips.setupLogging(os.path.join(OUTPUT_DIR,subdir,"ft_info.log"),
                           os.path.join(OUTPUT_DIR,subdir,"ft_debug.log"),
                           logToConsole=True)

    ft = fasttrips.FastTrips(os.path.join(INPUT_DIR, subdir))

    if m.group(2) == "deterministic":
        fasttrips.Assignment.ASSIGNMENT_TYPE     = fasttrips.Assignment.ASSIGNMENT_TYPE_DET_ASGN
    elif m.group(2) == "stochastic":
        fasttrips.Assignment.ASSIGNMENT_TYPE     = fasttrips.Assignment.ASSIGNMENT_TYPE_STO_ASGN

    fasttrips.Assignment.ITERATION_FLAG          = int(m.group(3))

    if m.group(4) == "nocap":
        fasttrips.Assignment.CAPACITY_CONSTRAINT = False
    else:
        fasttrips.Assignment.CAPACITY_CONSTRAINT = True