



import fire

from transformers import AutoConfig, AutoModelForSeqaSeqLM, AutoTokenizer

def     __lowercase(	UpperCAmelCase__   ,   UpperCAmelCase__   ,   **UpperCAmelCase__ ):


      """simple docstring"""



      lowerCamelCase								=		AutoConfig.from_pretrained(UpperCAmelCase__   ,   **UpperCAmelCase__ )
      lowerCamelCase								=		AutoModelForSeqaSeqLM.from_config(UpperCAmelCase__ )
      model.save_pretrained(UpperCAmelCase__ )
      AutoTokenizer.from_pretrained(UpperCAmelCase__ ).save_pretrained(UpperCAmelCase__ )
      return model


if __name__ == "__main__":
     fire.Fire(save_randomly_initialized_version)




from __future__ import annotations

from collections.abc import Generator

import requests
from bsa import BeautifulSoup

a_						:     int	     =		'https://www.indeed.co.in/jobs?q=mobile+app+development&l='

def     __lowercase(	UpperCAmelCase__ = "mumbai" ):


      """simple docstring"""



      lowerCamelCase								=		BeautifulSoup(requests.get(url + location ).content   ,   "html.parser" )
      # This attribute finds out all the specifics listed in a job
      for job in soup.find_all("div"   ,   attrs={"data-tn-component": "organicJob"} ):
            lowerCamelCase								=		job.find("a"   ,   attrs={"data-tn-element": "jobTitle"} ).text.strip()
            lowerCamelCase								=		job.find("span"   ,   {"class": "company"} ).text.strip()
            yield job_title, company_name


if __name__ == "__main__":
     for i, job in enumerate(fetch_jobs('Bangalore'), 1):
          print(f"""Job {i:>2} is {job[0]} at {job[1]}""")