guptayash

#!/bin/sh
#
#  only doing all the sudos as cloud-init doesn't run as root, likely better to use Azure VM Extensions
#
#  $1 is the forwarder, $2 is the vnet IP range
#

touch /tmp/forwarderSetup_start
echo "$@" > /tmp/forwarderSetup_params

guptayash

def QuickSort(A, start, end):
    if (start<end):
        pIndex=Partition(A, start, end)
        QuickSort(A, start, pIndex-1)
        QuickSort(A, pIndex+1, end)
    print(A)
def Partition(A, start, end):
    pivot=A[end]
    pIndex=start
    for i in range(start, end):

guptayash

def Merge(L, R, A):
    nL=len(L)
    nR=len(R)
    i=0
    j=0
    k=0
    while(i<nL and j<nR):
        if (L[i]<=R[j]):
            A[k]=L[i]
            i=i+1

guptayash

import pandas as pd
from pandas import DataFrame
from io import StringIO
import numpy as np
from sklearn.cluster import KMeans
df=pd.read_csv('olympics.csv', skiprows=1)
def load_data(df):
    df.rename(columns={'01 !':'Gold','02 !':'Silver','03 !':'Bronze'}, inplace=True)
##    df.rename(columns={'01 !.1':'Gold','02 !.1':'Silver','03 !.1':'Bronze'}, inplace=True)
##    df.rename(columns={'01 !.2':'Gold','02 !.2':'Silver','03 !.2':'Bronze'}, inplace=True)

guptayash

import math
class complex_number:
    def __init__(self,real_value,imag_value):
        try:
            self.real_value=int(real_value)
            self.imag_value=int(imag_value)
        except Exception as e:
            print(e)
    def __repr__(self):
        return "Object of class complex_number"