





'''simple docstring'''


import contextlib
from multiprocessing import Pool, RLock

from tqdm.auto import tqdm

from ..utils import experimental, logging


lowerCAmelCase					:     Optional[Any]												=logging.get_logger(__name__)
class       a_   :
     __A      =			None







@experimental
def 							UpperCAmelCase_  (						__lowerCamelCase					:					List[Any]	,__lowerCamelCase					:					str	,__lowerCamelCase					:					Any	,__lowerCamelCase					:					Tuple	,__lowerCamelCase					:					str	,__lowerCamelCase					:					Tuple	,__lowerCamelCase					:					Any ):
   if ParallelBackendConfig.backend_name is None:
      return _map_with_multiprocessing_pool(
          __lowerCamelCase	,__lowerCamelCase	,__lowerCamelCase	,__lowerCamelCase	,__lowerCamelCase	,__lowerCamelCase	,__lowerCamelCase )

   return _map_with_joblib(__lowerCamelCase	,__lowerCamelCase	,__lowerCamelCase	,__lowerCamelCase	,__lowerCamelCase	,__lowerCamelCase	,__lowerCamelCase )
def 							UpperCAmelCase_  (						__lowerCamelCase					:					List[Any]	,__lowerCamelCase					:					List[str]	,__lowerCamelCase					:					Dict	,__lowerCamelCase					:					str	,__lowerCamelCase					:					Tuple	,__lowerCamelCase					:					int	,__lowerCamelCase					:					Union[str, Any] ):
   lowercase_			:List[str]    			= num_proc if num_proc <= len(__lowerCamelCase ) else len(__lowerCamelCase )
   lowercase_			:str    			= []  # We organize the splits ourselve (contiguous splits)
   for index in range(__lowerCamelCase ):
      lowercase_			:Any    			= len(__lowerCamelCase ) // num_proc
      lowercase_			:List[Any]    			= len(__lowerCamelCase ) % num_proc
      lowercase_			:Optional[Any]    			= div * index + min(__lowerCamelCase	,__lowerCamelCase )
      lowercase_			:Optional[Any]    			= start + div + (1 if index < mod else 0)
      split_kwds.append((function, iterable[start:end], types, index, disable_tqdm, desc) )

   if len(__lowerCamelCase ) != sum(len(i[1] ) for i in split_kwds ):
      raise ValueError(
          F'Error dividing inputs iterable among processes. '
          F'Total number of objects {len(__lowerCamelCase )}, '
          F'length: {sum(len(i[1] ) for i in split_kwds )}' )

   logger.info(
       F'Spawning {num_proc} processes for {len(__lowerCamelCase )} objects in slices of {[len(i[1] ) for i in split_kwds]}' )
   lowercase_			,							lowercase_			:Dict    			= None, None
   if not disable_tqdm:
      lowercase_			,							lowercase_			:Dict    			= (RLock(),), tqdm.set_lock
   with Pool(__lowerCamelCase	,initargs=__lowerCamelCase	,initializer=__lowerCamelCase ) as pool:
      lowercase_			:List[str]    			= pool.map(__lowerCamelCase	,__lowerCamelCase )
   logger.info(F'Finished {num_proc} processes' )
   lowercase_			:Union[str, Any]    			= [obj for proc_res in mapped for obj in proc_res]
   logger.info(F'Unpacked {len(__lowerCamelCase )} objects' )

   return mapped
def 							UpperCAmelCase_  (						__lowerCamelCase					:					str	,__lowerCamelCase					:					Any	,__lowerCamelCase					:					str	,__lowerCamelCase					:					Optional[Any]	,__lowerCamelCase					:					str	,__lowerCamelCase					:					Optional[Any]	,__lowerCamelCase					:					List[str] ):
   # progress bar is not yet supported for _map_with_joblib, because tqdm couldn't accurately be applied to joblib,
   # and it requires monkey-patching joblib internal classes which is subject to change
   import joblib

   with joblib.parallel_backend(ParallelBackendConfig.backend_name	,n_jobs=__lowerCamelCase ):
      return joblib.Parallel()(
          joblib.delayed(__lowerCamelCase )((function, obj, types, None, True, None) ) for obj in iterable )


@experimental
@contextlib.contextmanager
def 							UpperCAmelCase_  (						__lowerCamelCase					:					str ):
   lowercase_			:Any    			= backend_name

   if backend_name == "spark":
      from joblibspark import register_spark

      register_spark()

      # TODO: call create_cache_and_write_probe if "download" in steps
      # TODO: raise NotImplementedError when Dataset.map etc is called

   try:
      yield
   finally:
      lowercase_			:Optional[Any]    			= None









'''simple docstring'''


import sys
import webbrowser

import requests
from bsa import BeautifulSoup
from fake_useragent import UserAgent

if __name__ == "__main__":
 print('''Googling.....''')
 lowerCAmelCase					:     str												='''https://www.google.com/search?q=''' + ''' '''.join(sys.argv[1:])
 lowerCAmelCase					:     List[str]												=requests.get(url, headers={'''UserAgent''': UserAgent().random})
 # res.raise_for_status()
 with open('''project1a.html''', '''wb''') as out_file:  # only for knowing the class
  for data in res.iter_content(10_000):
   out_file.write(data)
 lowerCAmelCase					:     List[Any]												=BeautifulSoup(res.text, '''html.parser''')
 lowerCAmelCase					:     List[Any]												=list(soup.select('''.eZt8xd'''))[:5]

 print(len(links))
 for link in links:
  if link.text == "Maps":
   webbrowser.open(link.get('''href'''))
  else:
   webbrowser.open(F'''https://google.com{link.get('href')}''')


