




import os
import re
import urllib.parse
from pathlib import Path
from typing import Callable, List, Optional, Union
from zipfile import ZipFile

from ..utils.file_utils import cached_path, hf_github_url
from ..utils.logging import get_logger
from ..utils.version import Version


__a							     =					get_logger(__name__)

class     __a:






    """simple docstring"""





    lowerCAmelCase         = '''dummy_data'''
    lowerCAmelCase         = '''datasets'''
    lowerCAmelCase         = False





    def __init__( self  ,_SCREAMING_SNAKE_CASE  ,_SCREAMING_SNAKE_CASE  ,_SCREAMING_SNAKE_CASE  ,_SCREAMING_SNAKE_CASE = None  ,_SCREAMING_SNAKE_CASE = False  ,_SCREAMING_SNAKE_CASE = True  ,_SCREAMING_SNAKE_CASE = None  ,)					->						Union[str, Any]:
         UpperCAmelCase_     :				int  =     0
         UpperCAmelCase_     :				Dict  =     dataset_name
         UpperCAmelCase_     :				Optional[int]  =     cache_dir
         UpperCAmelCase_     :				Union[str, Any]  =     use_local_dummy_data
         UpperCAmelCase_     :				Optional[Any]  =     config
         # download_callbacks take a single url as input
         UpperCAmelCase_     :				List[Any]  =     download_callbacks or []
         # if False, it doesn't load existing files and it returns the paths of the dummy files relative
         # to the dummy_data zip file root
         UpperCAmelCase_     :				int  =     load_existing_dummy_data

         # TODO(PVP, QL) might need to make this more general
         UpperCAmelCase_     :				Optional[Any]  =     str(_SCREAMING_SNAKE_CASE    )
         # to be downloaded
         UpperCAmelCase_     :				Union[str, Any]  =     None
         UpperCAmelCase_     :				int  =     None





    @property
    def 				a__ ( self    )					->						List[Any]:
         if self._dummy_file is None:
              UpperCAmelCase_     :				Union[str, Any]  =     self.download_dummy_data()
         return self._dummy_file





    @property
    def 				a__ ( self    )					->						Any:
         if self.config is not None:
              # structure is dummy / config_name / version_name
              return os.path.join('''dummy'''  ,self.config.name  ,self.version_name    )
         # structure is dummy / version_name
         return os.path.join('''dummy'''  ,self.version_name    )





    @property
    def 				a__ ( self    )					->						Any:
         return os.path.join(self.dummy_data_folder  ,'''dummy_data.zip'''    )





    def 				a__ ( self    )					->						List[str]:
         UpperCAmelCase_     :				List[str]  =     (
             self.local_path_to_dummy_data if self.use_local_dummy_data is True else self.github_path_to_dummy_data
         )

         UpperCAmelCase_     :				str  =     cached_path(
             _SCREAMING_SNAKE_CASE  ,cache_dir=self.cache_dir  ,extract_compressed_file=_SCREAMING_SNAKE_CASE  ,force_extract=_SCREAMING_SNAKE_CASE    )

         return os.path.join(_SCREAMING_SNAKE_CASE  ,self.dummy_file_name    )





    @property
    def 				a__ ( self    )					->						Dict:
         return os.path.join(self.datasets_scripts_dir  ,self.dataset_name  ,self.dummy_zip_file    )





    @property
    def 				a__ ( self    )					->						Dict:
         if self._bucket_url is None:
              UpperCAmelCase_     :				str  =     hf_github_url(self.dataset_name  ,self.dummy_zip_file.replace(os.sep  ,'''/'''    )    )
         return self._bucket_url





    @property
    def 				a__ ( self    )					->						int:
         # return full path if its a dir
         if os.path.isdir(self.dummy_file    ):
              return self.dummy_file
         # else cut off path to file -> example `xsum`.
         return "/".join(self.dummy_file.replace(os.sep  ,'''/'''    ).split('''/'''    )[:-1]    )





    def 				a__ ( self  ,_SCREAMING_SNAKE_CASE  ,*_SCREAMING_SNAKE_CASE    )					->						Any:
         if self.load_existing_dummy_data:
              # dummy data is downloaded and tested
              UpperCAmelCase_     :				Dict  =     self.dummy_file
         else:
              # dummy data cannot be downloaded and only the path to dummy file is returned
              UpperCAmelCase_     :				Optional[Any]  =     self.dummy_file_name

         # special case when data_url is a dict
         if isinstance(_SCREAMING_SNAKE_CASE  ,_SCREAMING_SNAKE_CASE    ):
              return self.create_dummy_data_dict(_SCREAMING_SNAKE_CASE  ,_SCREAMING_SNAKE_CASE    )
         elif isinstance(_SCREAMING_SNAKE_CASE  ,(list, tuple)    ):
              return self.create_dummy_data_list(_SCREAMING_SNAKE_CASE  ,_SCREAMING_SNAKE_CASE    )
         else:
              return self.create_dummy_data_single(_SCREAMING_SNAKE_CASE  ,_SCREAMING_SNAKE_CASE    )





    def 				a__ ( self  ,_SCREAMING_SNAKE_CASE  ,*_SCREAMING_SNAKE_CASE    )					->						Optional[Any]:
         return self.download_and_extract(_SCREAMING_SNAKE_CASE    )





    def 				a__ ( self  ,_SCREAMING_SNAKE_CASE  ,_SCREAMING_SNAKE_CASE    )					->						Tuple:
         return self.download_and_extract(_SCREAMING_SNAKE_CASE    )





    def 				a__ ( self  ,_SCREAMING_SNAKE_CASE  ,*_SCREAMING_SNAKE_CASE  ,**_SCREAMING_SNAKE_CASE    )					->						str:
         return path





    def 				a__ ( self    )					->						List[Any]:
         return {}





    def 				a__ ( self  ,_SCREAMING_SNAKE_CASE  ,_SCREAMING_SNAKE_CASE    )					->						Tuple:
         UpperCAmelCase_     :				Union[str, Any]  =     {}
         for key, single_urls in data_url.items():
              for download_callback in self.download_callbacks:
                   if isinstance(_SCREAMING_SNAKE_CASE  ,_SCREAMING_SNAKE_CASE    ):
                        for single_url in single_urls:
                             download_callback(_SCREAMING_SNAKE_CASE    )
                   else:
                        UpperCAmelCase_     :				Optional[int]  =     single_urls
                        download_callback(_SCREAMING_SNAKE_CASE    )
            # we force the name of each key to be the last file / folder name of the url path
            # if the url has arguments, we need to encode them with urllib.parse.quote_plus
              if isinstance(_SCREAMING_SNAKE_CASE  ,_SCREAMING_SNAKE_CASE    ):
                   UpperCAmelCase_     :				Tuple  =     [os.path.join(_SCREAMING_SNAKE_CASE  ,urllib.parse.quote_plus(Path(_SCREAMING_SNAKE_CASE    ).name    )    ) for x in single_urls]
              else:
                   UpperCAmelCase_     :				Tuple  =     single_urls
                   UpperCAmelCase_     :				int  =     os.path.join(_SCREAMING_SNAKE_CASE  ,urllib.parse.quote_plus(Path(_SCREAMING_SNAKE_CASE    ).name    )    )
              UpperCAmelCase_     :				Optional[Any]  =     value

         # make sure that values are unique
         if all(isinstance(_SCREAMING_SNAKE_CASE  ,_SCREAMING_SNAKE_CASE    ) for i in dummy_data_dict.values()    ) and len(set(dummy_data_dict.values()    )    ) < len(
             dummy_data_dict.values()    ):
              # append key to value to make its name unique
              UpperCAmelCase_     :				Dict  =     {key: value + key for key, value in dummy_data_dict.items()}

         return dummy_data_dict





    def 				a__ ( self  ,_SCREAMING_SNAKE_CASE  ,_SCREAMING_SNAKE_CASE    )					->						Union[str, Any]:
         UpperCAmelCase_     :				Optional[int]  =     []
         # trick: if there are many shards named like `data.txt-000001-of-00300`, only use the first one
         UpperCAmelCase_     :				int  =     all(bool(re.findall('''[0-9]{3,}-of-[0-9]{3,}'''  ,_SCREAMING_SNAKE_CASE    )    ) for url in data_url    )
         UpperCAmelCase_     :				Tuple  =     all(
             url.startswith('''https://ftp.ncbi.nlm.nih.gov/pubmed/baseline/pubmed'''    ) for url in data_url    )
         if data_url and (is_tf_records or is_pubmed_records):
              UpperCAmelCase_     :				List[str]  =     [data_url[0]] * len(_SCREAMING_SNAKE_CASE    )
         for single_url in data_url:
              for download_callback in self.download_callbacks:
                   download_callback(_SCREAMING_SNAKE_CASE    )
              # we force the name of each key to be the last file / folder name of the url path
              # if the url has arguments, we need to encode them with urllib.parse.quote_plus
              UpperCAmelCase_     :				List[str]  =     os.path.join(_SCREAMING_SNAKE_CASE  ,urllib.parse.quote_plus(single_url.split('''/'''    )[-1]    )    )
              dummy_data_list.append(_SCREAMING_SNAKE_CASE    )
         return dummy_data_list





    def 				a__ ( self  ,_SCREAMING_SNAKE_CASE  ,_SCREAMING_SNAKE_CASE    )					->						List[Any]:
         for download_callback in self.download_callbacks:
              download_callback(_SCREAMING_SNAKE_CASE    )
         # we force the name of each key to be the last file / folder name of the url path
         # if the url has arguments, we need to encode them with urllib.parse.quote_plus
         UpperCAmelCase_     :				Any  =     os.path.join(_SCREAMING_SNAKE_CASE  ,urllib.parse.quote_plus(data_url.split('''/'''    )[-1]    )    )
         if os.path.exists(_SCREAMING_SNAKE_CASE    ) or not self.load_existing_dummy_data:
              return value
         else:
              # Backward compatibility, maybe deprecate at one point.
              # For many datasets with single url calls to dl_manager.download_and_extract,
              # the dummy_data.zip file is actually the zipped downloaded file
              # while now we expected the dummy_data.zip file to be a directory containing
              # the downloaded file.
              return path_to_dummy_data





    def 				a__ ( self    )					->						Any:
         pass





    def 				a__ ( self    )					->						Tuple:
         pass





    def 				a__ ( self  ,_SCREAMING_SNAKE_CASE    )					->						str:
         def _iter_archive_members(_SCREAMING_SNAKE_CASE    ):
              # this preserves the order of the members inside the ZIP archive
              UpperCAmelCase_     :				str  =     Path(self.dummy_file    ).parent
              UpperCAmelCase_     :				Any  =     path.relative_to(_SCREAMING_SNAKE_CASE    )
              with ZipFile(self.local_path_to_dummy_data    ) as zip_file:
                   UpperCAmelCase_     :				Union[str, Any]  =     zip_file.namelist()
              for member in members:
                   if member.startswith(relative_path.as_posix()    ):
                        yield dummy_parent_path.joinpath(_SCREAMING_SNAKE_CASE    )

         UpperCAmelCase_     :				List[str]  =     Path(_SCREAMING_SNAKE_CASE    )
         UpperCAmelCase_     :				List[Any]  =     _iter_archive_members(_SCREAMING_SNAKE_CASE    ) if self.use_local_dummy_data else path.rglob('''*'''    )
         for file_path in file_paths:
              if file_path.is_file() and not file_path.name.startswith(('''.''', '''__''')    ):
                   yield file_path.relative_to(_SCREAMING_SNAKE_CASE    ).as_posix(), file_path.open('''rb'''    )





    def 				a__ ( self  ,_SCREAMING_SNAKE_CASE    )					->						List[str]:
         if not isinstance(_SCREAMING_SNAKE_CASE  ,_SCREAMING_SNAKE_CASE    ):
              UpperCAmelCase_     :				Any  =     [paths]
         for path in paths:
              if os.path.isfile(_SCREAMING_SNAKE_CASE    ):
                   if os.path.basename(_SCREAMING_SNAKE_CASE    ).startswith(('''.''', '''__''')    ):
                        return
                   yield path
              else:
                   for dirpath, dirnames, filenames in os.walk(_SCREAMING_SNAKE_CASE    ):
                        if os.path.basename(_SCREAMING_SNAKE_CASE    ).startswith(('''.''', '''__''')    ):
                             continue
                        dirnames.sort()
                        for filename in sorted(_SCREAMING_SNAKE_CASE    ):
                             if filename.startswith(('''.''', '''__''')    ):
                                  continue
                             yield os.path.join(_SCREAMING_SNAKE_CASE  ,_SCREAMING_SNAKE_CASE    )







'''simple docstring'''



from multiprocessing import Lock, Pipe, Process

# lock used to ensure that two processes do not access a pipe at the same time
__UpperCamelCase   :							Optional[int]         =   Lock()



def  __UpperCAmelCase						(					SCREAMING_SNAKE_CASE__:						Tuple,       SCREAMING_SNAKE_CASE__:						Any,       SCREAMING_SNAKE_CASE__:						Tuple,       SCREAMING_SNAKE_CASE__:						str,       SCREAMING_SNAKE_CASE__:						Optional[Any],       SCREAMING_SNAKE_CASE__:						Any,       SCREAMING_SNAKE_CASE__:						List[Any]     )	->      int:

   """simple docstring"""
   global process_lock

   # we perform n swaps since after n swaps we know we are sorted
   # we *could* stop early if we are sorted already, but it takes as long to
   # find out we are sorted as it does to sort the list with this algorithm
   for i in range(0,       10     ):
      if (i + position) % 2 == 0 and r_send is not None:
         # send your value to your right neighbor
         process_lock.acquire()
         r_send[1].send(SCREAMING_SNAKE_CASE__     )
         process_lock.release()

         # receive your right neighbor's value
         process_lock.acquire()
         __a					  =     rr_cv[0].recv()
         process_lock.release()

         # take the lower value since you are on the left
         __a					  =     min(SCREAMING_SNAKE_CASE__,       SCREAMING_SNAKE_CASE__     )
      elif (i + position) % 2 != 0 and l_send is not None:
         # send your value to your left neighbor
         process_lock.acquire()
         l_send[1].send(SCREAMING_SNAKE_CASE__     )
         process_lock.release()

         # receive your left neighbor's value
         process_lock.acquire()
         __a					  =     lr_cv[0].recv()
         process_lock.release()

         # take the higher value since you are on the right
         __a					  =     max(SCREAMING_SNAKE_CASE__,       SCREAMING_SNAKE_CASE__     )
    # after all swaps are performed, send the values back to main
   result_pipe[1].send(SCREAMING_SNAKE_CASE__     )



def  __UpperCAmelCase						(					SCREAMING_SNAKE_CASE__:						Tuple     )	->      Optional[Any]:

   """simple docstring"""
   __a					  =     []
   __a					  =     []
   # initialize the list of pipes where the values will be retrieved
   for _ in arr:
      result_pipe.append(Pipe()     )
   # creates the processes
   # the first and last process only have one neighbor so they are made outside
   # of the loop
   __a					  =     Pipe()
   __a					  =     Pipe()
   process_array_.append(
       Process(
           target=SCREAMING_SNAKE_CASE__,       args=(0, arr[0], None, temp_rs, None, temp_rr, result_pipe[0]),       )     )
   __a					  =     temp_rs
   __a					  =     temp_rr

   for i in range(1,       len(SCREAMING_SNAKE_CASE__     ) - 1     ):
      __a					  =     Pipe()
      __a					  =     Pipe()
      process_array_.append(
          Process(
              target=SCREAMING_SNAKE_CASE__,       args=(i, arr[i], temp_ls, temp_rs, temp_lr, temp_rr, result_pipe[i]),       )     )
      __a					  =     temp_rs
      __a					  =     temp_rr

   process_array_.append(
       Process(
           target=SCREAMING_SNAKE_CASE__,       args=(
               len(SCREAMING_SNAKE_CASE__     ) - 1,
               arr[len(SCREAMING_SNAKE_CASE__     ) - 1],
               temp_ls,
               None,
               temp_lr,
               None,
               result_pipe[len(SCREAMING_SNAKE_CASE__     ) - 1],
           ),       )     )

   # start the processes
   for p in process_array_:
      p.start()

   # wait for the processes to end and write their values to the list
   for p in range(0,       len(SCREAMING_SNAKE_CASE__     )     ):
      __a					  =     result_pipe[p][0].recv()
      process_array_[p].join()
   return arr



def  __UpperCAmelCase						(					)	->      Any:

   """simple docstring"""
   __a					  =     list(range(10,       0,       -1     )     )
   print('Initial List'     )
   print(*SCREAMING_SNAKE_CASE__     )
   __a					  =     odd_even_transposition(SCREAMING_SNAKE_CASE__     )
   print('Sorted List\n'     )
   print(*SCREAMING_SNAKE_CASE__     )


if __name__ == "__main__":
 main()