tejastank

# -*- coding: utf-8 -*-
# tejaskumartank@proton.me 
# ODOO Enterprise Edition
# Part of Odoo. See LICENSE file for full copyright and licensing details.

import datetime
import logging

import requests
import werkzeug.urls

tejastank

# -*- coding: utf-8 -*-
#!/usr/bin/env python
import socket
import cPickle

class ExploitServer():

    def run(self):
        HOST = '127.0.0.1'
        PORT = 8080

tejastank

#!/bin/bash

# CONST 1GB

CONST_1GB="1024*1024*1024"

# VARIABLE WORKERS

CMD_W=0

tejastank

#!/bin/bash
################################################################################
# Author: Tejaskumar Tank
#-------------------------------------------------------------------------------
# This script will install Odoo on your Ubuntu server. It can install multiple Odoo instances
# in one Ubuntu because of the different xmlrpc_ports
#-------------------------------------------------------------------------------
# Make a new file:
# sudo nano odoo-install.sh
# Place this content in it and then make the file executable:

tejastank

The perfect Varnish configuration for Joomla, WordPress & other CMS based websites

IMPORTANT: Read this before implementing one of the configuration files below (for either Varnish 3.x or 4.x+).

USE: Replace the contents of the main Varnish configuration file located in /etc/varnish/default.vcl (root server access required - obviously) with the contents of the configuration you'll use (depending on your Varnish version) from the 2 examples provided below.

IMPORTANT: The following setup assumes a 180 sec (3 minute) cache time for cacheable content that does not have the correct cache-control HTTP headers. You can safely increase this to 300 sec (or more) for less busier sites or drop it to 60 sec or even 30 sec for high traffic sites.

This configuration requires an HTTP Header and a user cookie to identify if a user is logged in a site, in order to bypass caching overall (see how it's done for Joomla & WordPress). If your CMS provides a way to add these two requirements, then you can use this configurati

tejastank

import speech_recognition as sr
import pyttsx3
import pywhatkit
import datetime
import wikipedia
import pyjokes

listener = sr.Recognizer()
engine = pyttsx3.init()
voices = engine.getProperty('voices')

tejastank

# https://www.snippetbucket.com/ 
# ODOO ERP Django PHP Android AngularJS implementation and customization.
# Most Simple and Quick Way:

sudo su
cd /opt
wget https://github.com/wkhtmltopdf/wkhtmltopdf/releases/download/0.12.4/wkhtmltox-0.12.4_linux-generic-amd64.tar.xz
tar xvf wkhtmltox-0.12.4_linux-generic-amd64.tar.xz
mv wkhtmltox/bin/wkhtmlto* /usr/bin/

tejastank

for CLEAN in $(find /var/log/ -type f)
do
    cp /dev/null  $CLEAN
done


#best way to just clear, sometime delete may crash some software

tejastank

#pip install opencv-python dlib facenet-pytorch
#xamta infotech, guidelins to install dependancies. hi@xamta.in 

import cv2
import dlib
from facenet_pytorch import MTCNN
import numpy as np

def detect_tongue(image_path):
    # Load the image

tejastank

import cv2
import dlib

# Load the pre-trained facial landmark predictor from dlib
predictor_path = "shape_predictor_68_face_landmarks.dat"
predictor = dlib.shape_predictor(predictor_path)

# Load the pre-trained face detector from dlib
face_detector = dlib.get_frontal_face_detector()