chavarera

import threading 
def Func1(num):
    cal=num*10000
    print("\nI am From Func1 ")
  
def Func2(num): 
    print("\nI am from Func2".format(num * num))
if __name__ == "__main__":
   t1 = threading.Thread(target=Func1, args=(10,)) 
   t2=threading.Thread(target=Func2,args=(11,))

chavarera

#Default debugger
import pdb; pdb.set_trace()

# Use scrapy Logging
self.logger.info('this is Simple Log')
self.log('this is log example')


# Inspect in Shell
from scrapy.shell import inspect_response

chavarera

# Created By : Ravishankar Chavare
# Reference  : Cinfo(utility Tool)
# Link       : github.com/chavarera/cinfo
# Date       : 17-02-2021

echo '                             Architecture Info                               '
echo '__________________________________________________________________________________'
hostnamectl | grep -e 'Machine ID' -e 'Boot ID' -e 'Operating System' -e Kernel -e Architecture

chavarera

class RequestDelayMiddleware(object):
    def process_request(self, request, spider):
        # Add delay_by key in meta
        delay_s = request.meta.get('delay_by', None)
        if not delay_s:
            return

        deferred = Deferred()
        reactor.callLater(delay_s, deferred.callback, None)
        return deferred

chavarera

import pandas as pd
from json import dump, load


def flat(object, sep='.'):
    """flatten nested object

    Args:
        object ([dict]): input document
        sep (str, optional): an seperator. Defaults to '.'.

chavarera

"""
Author: Ravishankar Chavare
Version: 1.0
File: pwbar.py
Description: This module provides a progress bar utility for tracking the 
progress of iterative tasks.


1.1
===

chavarera

import sqlglot
import time
import os
import pandas as pd

from sqlglot import parse_one, exp, optimizer
from sqlglot.optimizer.scope import traverse_scope
from sqlglot.errors import OptimizeError

# Define the SQL query string