from __future__ import annotations

from collections.abc import Generator

import requests
from bsa import BeautifulSoup

lowercase_  : List[Any]								=					'https://www.indeed.co.in/jobs?q=mobile+app+development&l='







def       A__   (						snake_case_			:		str = "mumbai"   ):
 SCREAMING_SNAKE_CASE__: List[str]=   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'''}   ):
  SCREAMING_SNAKE_CASE__: List[str]=   job.find('''a'''							,					attrs={'''data-tn-element''': '''jobTitle'''}   ).text.strip()
  SCREAMING_SNAKE_CASE__: Optional[int]=   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]}''')








'''simple docstring'''


from ...configuration_utils import PretrainedConfig
from ...utils import logging


_SCREAMING_SNAKE_CASE									=				logging.get_logger(__name__)

_SCREAMING_SNAKE_CASE									=				{
    "tiiuae/falcon-40b": "https://huggingface.co/tiiuae/falcon-40b/resolve/main/config.json",
    "tiiuae/falcon-7b": "https://huggingface.co/tiiuae/falcon-7b/resolve/main/config.json",
}

class  lowerCAmelCase_		(		__magic_name__		):
 __lowerCamelCase    :				Any								=       "falcon"
 __lowerCamelCase    :				List[str]								=       ["past_key_values"]




 def __init__(						self      ,  _lowerCAmelCase=65024      ,  _lowerCAmelCase=4544      ,  _lowerCAmelCase=32      ,  _lowerCAmelCase=71      ,  _lowerCAmelCase=1E-5      ,  _lowerCAmelCase=0.02      ,  _lowerCAmelCase=True      ,  _lowerCAmelCase=0.0      ,  _lowerCAmelCase=0.0      ,  _lowerCAmelCase=None      ,  _lowerCAmelCase=False      ,  _lowerCAmelCase=False      ,  _lowerCAmelCase=True      ,  _lowerCAmelCase=True      ,  _lowerCAmelCase=False      ,  _lowerCAmelCase=11      ,  _lowerCAmelCase=11      ,  **_lowerCAmelCase      ,  )     ->				Union[str, Any]:
     _lowerCAmelCase						      =   vocab_size
     # Backward compatibility with n_embed kwarg
     _lowerCAmelCase						      =   kwargs.pop("n_embed"      ,  _lowerCAmelCase		)
     _lowerCAmelCase						      =   hidden_size if n_embed is None else n_embed
     _lowerCAmelCase						      =   num_hidden_layers
     _lowerCAmelCase						      =   num_attention_heads
     _lowerCAmelCase						      =   layer_norm_epsilon
     _lowerCAmelCase						      =   initializer_range
     _lowerCAmelCase						      =   use_cache
     _lowerCAmelCase						      =   hidden_dropout
     _lowerCAmelCase						      =   attention_dropout

     _lowerCAmelCase						      =   bos_token_id
     _lowerCAmelCase						      =   eos_token_id
     _lowerCAmelCase						      =   num_attention_heads if num_kv_heads is None else num_kv_heads
     _lowerCAmelCase						      =   alibi
     _lowerCAmelCase						      =   new_decoder_architecture
     _lowerCAmelCase						      =   multi_query  # Ignored when new_decoder_architecture is True
     _lowerCAmelCase						      =   parallel_attn
     _lowerCAmelCase						      =   bias

     super().__init__(bos_token_id=_lowerCAmelCase      ,  eos_token_id=_lowerCAmelCase      ,  **_lowerCAmelCase		)




 @property
 def 				_snake_case (						self		)     ->				Optional[Any]:
     return self.hidden_size // self.num_attention_heads





 @property
 def 				_snake_case (						self		)     ->				Optional[Any]:
     return not self.alibi


