import math
import time
import _numpypy
import numpy as np
from itertools import izip
from itertools import combinations_with_replacement


def main():
    #data = get_data(nparr=True)
    data = get_data(nparr=False)
    v1 = data[-1]
    func = std_sum
    #func = np_sum
    #func = lmd_sum
    #func = so_sum
    testcases = combinations_with_replacement(data[0:5000], 2)
    t0 = time.time()
    for (v1,v2) in testcases:
        func(v1, v2)
    t1 = time.time()
    print t1-t0


def std_sum(v1, v2):
    distance = 0.0
    for (a,b) in izip(v1, v2):
        distance += math.fabs(a-b)
    return distance


lzi = lambda v1, v2: reduce(lambda s, (a,b):s + math.fabs(a-b), izip(v1, v2), 0)
def lmd_sum(v1, v2):
    return lzi(v1, v2)

def np_sum(v1, v2):
    return np.sum(np.abs(v1-v2))

def so_sum(v1, v2):
    np.sum(abs(a-b) for a, b in izip(v1, v2))


def get_data(filename="data/perfdata", nparr=False):
    f = open(filename)
    contents = f.read().splitlines()
    data = []
    for line in contents:
        arr = [float(d) for d in line.split(',') ]
        if nparr:
            data.append(np.array(arr))
        else:
            data.append(arr)
    return data


if __name__ == "__main__":
    main()