






from __future__ import annotations

from collections.abc import Generator

import requests
from bsa import BeautifulSoup

__a      :       Any				  =   "https://www.indeed.co.in/jobs?q=mobile+app+development&l="



def 			lowerCamelCase__						( __lowercase   :			Any = "mumbai"    )						->      Tuple:





    """simple docstring"""

    __A         =	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"""}    ):
        __A         =	job.find("""a"""			,				attrs={"""data-tn-element""": """jobTitle"""}    ).text.strip()
        __A         =	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]}""")












from typing import TYPE_CHECKING

from ...utils import _LazyModule


__a      :       Optional[int]				  =   {"tokenization_bertweet": ["BertweetTokenizer"]}


if TYPE_CHECKING:
  from .tokenization_bertweet import BertweetTokenizer

else:
  import sys

  __a      :       int				  =   _LazyModule(__name__, globals()["__file__"], _import_structure, module_spec=__spec__)




