scionoftech

# Deeplearning Environment Setup for tensorflow_2.3.1 with CUDA 10.1 and cuDNN 7.6.0

### If you have previous installation remove it first. 
sudo apt-get purge nvidia*
sudo apt remove nvidia-*
sudo apt remove --autoremove nvidia-cuda-toolkit
sudo rm /etc/apt/sources.list.d/cuda*
sudo apt-get autoremove && sudo apt-get autoclean
sudo rm -rf /usr/local/cuda*

scionoftech

import mysql.connector
from mysql.connector import errorcode


def mysql_connection(f):
    def with_connection_(*args, **kwargs):

        conn = mysql.connector.connect(
            host=host,
            user=user,

scionoftech

from jira import JIRA
import uvicorn
from pydantic import BaseModel
from fastapi import FastAPI
from fastapi.middleware.cors import CORSMiddleware
from fastapi.encoders import jsonable_encoder
from fastapi.responses import JSONResponse

# REST API Settings
app = FastAPI(title="JiraTicketApp",

scionoftech

import os
from os.path import dirname, abspath
print("Path at terminal when executing this file")
print(os.getcwd() + "\n")

print("This file path, relative to os.getcwd()")
print(__file__ + "\n")

print("This file full path (following symlinks)")
full_path = os.path.realpath(__file__)

scionoftech

    from selenium import webdriver
    from selenium.common.exceptions import NoSuchElementException
    from selenium.webdriver.chrome.options import Options
    import time
    try:
        language_code = "te"
        chrome_options = Options()
        #chrome_options.add_argument("--disable-extensions")
        #chrome_options.add_argument("--disable-gpu")
        chrome_options.add_argument("--headless")

scionoftech

from multiprocessing import Pool
# import time
def square(x):
    # calculate the square of the value of x
    # time.sleep(2)
    return x*x

if __name__ == '__main__':

    # Define the dataset

scionoftech

# pip install --user numba

from numba import jit, cuda 
import numpy as np 
# to measure exec time 
from timeit import default_timer as timer    
  
# normal function to run on cpu 
def func(a):                                 
    for i in range(10000000): 

scionoftech

# https://en.wikipedia.org/wiki/Python_(programming_language)
# https://www.mediawiki.org/wiki/API:Main_page

# 1. Get a plain text representation of either the entire page or the page "extract" straight from the API with the extracts prop

# Note that this approach only works on MediaWiki sites with the TextExtracts extension. This notably includes Wikipedia, but not some smaller Mediawiki sites like, say, http://www.wikia.com/

# You want to hit a URL like

# https://en.wikipedia.org/w/api.php?action=query&format=json&titles=Bla_Bla_Bla&prop=extracts&exintro&explaintext

scionoftech

from PIL import Image as pillowimg
import numpy as np
import cv2
import pytesseract  
  # PIL image
  def check_orientation(img):
        newdata = pytesseract.image_to_osd(np.array(img))
        orgi_orientation = re.search('(?<=Rotate: )\d+', newdata).group(0)
        # check image orientation 
        if orgi_orientation != 0:

scionoftech

***** round robin macthes ***** 
(Even number participants)
----------
n = no of participants
matches = n(n-1)/2
rounds = n-1
byes = 0

Eg. 
participants = 10