# '''
# This code is licensed and documented by Teuvonet Technologies. 
# Any use of this code, proprietary or personal, needs approval from the company.

# '''

# '''
# This code is licensed and documented by Teuvonet Technologies. 
# Any use of this code, proprietary or personal, needs approval from the company.

# '''

# import pandas as pd
# import matplotlib.pyplot as plt
# import numpy as np
# import sys
# import os
# import math
# import time
# import imp
# from pandas import *
# import pycuda
# import pycuda.autoinit
# import pycuda.driver as drv
# import pycuda.compiler
# import sklearn.metrics as met
# from pycuda.compiler import SourceModule
# from collections import defaultdict
# import distEncode



# def ActiveCenters_distanceComputation(map_data, NUM_DATAPOINTS_OVERALL, Input_Data, TOTAL_NUM_FEATURES, NUM_NEURONS_PER_NET, NUM_FEATURES_IN_PARTITIONS, NUM_CLASSES, target_arr, NUM_LEARNING_RATES, NUM_PARTITIONS):

    



    