





# Lint as: python3
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


_UpperCAmelCase             =							get_logger(__name__)






class        snake_case_    :
  A_      							=   'dummy_data'
  A_      							=   'datasets'
  A_      							=   False






  def __init__(							self			:					Tuple       ,  _snake_case			:					str       ,  _snake_case			:					str       ,  _snake_case			:					Union[Version, str]       ,  _snake_case			:					Optional[str] = None       ,  _snake_case			:					bool = False       ,  _snake_case			:					bool = True       ,  _snake_case			:					Optional[List[Callable]] = None       ,  )->str:






   '''simple docstring'''

   __lowerCAmelCase					:	int      =       0
   __lowerCAmelCase					:	Optional[Any]      =       dataset_name
   __lowerCAmelCase					:	Optional[int]      =       cache_dir
   __lowerCAmelCase					:	List[str]      =       use_local_dummy_data
   __lowerCAmelCase					:	Tuple      =       config
   # download_callbacks take a single url as input
   __lowerCAmelCase					:	List[Callable]      =       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
   __lowerCAmelCase					:	Union[str, Any]      =       load_existing_dummy_data

   # TODO(PVP, QL) might need to make this more general
   __lowerCAmelCase					:	str      =       str(_snake_case      )
   # to be downloaded
   __lowerCAmelCase					:	List[Any]      =       None
   __lowerCAmelCase					:	str      =       None






  @property
  def 				UpperCAmelCase__						(							self			:					List[str]      )->Any:






   '''simple docstring'''

   if self._dummy_file is None:
    __lowerCAmelCase					:	List[Any]      =       self.download_dummy_data()
   return self._dummy_file






  @property
  def 				UpperCAmelCase__						(							self			:					int      )->str:






   '''simple docstring'''

   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 				UpperCAmelCase__						(							self			:					Any      )->Optional[int]:






   '''simple docstring'''

   return os.path.join(self.dummy_data_folder       ,  """dummy_data.zip"""      )






  def 				UpperCAmelCase__						(							self			:					Optional[Any]      )->List[str]:






   '''simple docstring'''

   __lowerCAmelCase					:	Union[str, Any]      =       (
       self.local_path_to_dummy_data if self.use_local_dummy_data is True else self.github_path_to_dummy_data
   )

   __lowerCAmelCase					:	Optional[int]      =       cached_path(
       _snake_case       ,  cache_dir=self.cache_dir       ,  extract_compressed_file=_snake_case       ,  force_extract=_snake_case      )

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






  @property
  def 				UpperCAmelCase__						(							self			:					Optional[Any]      )->Any:






   '''simple docstring'''

   return os.path.join(self.datasets_scripts_dir       ,  self.dataset_name       ,  self.dummy_zip_file      )






  @property
  def 				UpperCAmelCase__						(							self			:					Optional[Any]      )->int:






   '''simple docstring'''

   if self._bucket_url is None:
    __lowerCAmelCase					:	Any      =       hf_github_url(self.dataset_name       ,  self.dummy_zip_file.replace(os.sep       ,  """/"""      )      )
   return self._bucket_url






  @property
  def 				UpperCAmelCase__						(							self			:					str      )->Optional[Any]:






   '''simple docstring'''

   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 				UpperCAmelCase__						(							self			:					List[str]       ,  _snake_case			:					List[Any]       ,  *_snake_case			:					Tuple      )->Any:






   '''simple docstring'''

   if self.load_existing_dummy_data:
    # dummy data is downloaded and tested
    __lowerCAmelCase					:	List[str]      =       self.dummy_file
   else:
    # dummy data cannot be downloaded and only the path to dummy file is returned
    __lowerCAmelCase					:	str      =       self.dummy_file_name

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






  def 				UpperCAmelCase__						(							self			:					Tuple       ,  _snake_case			:					Optional[int]       ,  *_snake_case			:					Optional[int]      )->Optional[int]:






   '''simple docstring'''

   return self.download_and_extract(_snake_case      )






  def 				UpperCAmelCase__						(							self			:					Dict       ,  _snake_case			:					Dict       ,  _snake_case			:					Optional[int]      )->Union[str, Any]:






   '''simple docstring'''

   return self.download_and_extract(_snake_case      )






  def 				UpperCAmelCase__						(							self			:					str       ,  _snake_case			:					List[Any]       ,  *_snake_case			:					Optional[Any]       ,  **_snake_case			:					int      )->Tuple:






   '''simple docstring'''

   return path






  def 				UpperCAmelCase__						(							self			:					Dict      )->int:






   '''simple docstring'''

   return {}






  def 				UpperCAmelCase__						(							self			:					Tuple       ,  _snake_case			:					str       ,  _snake_case			:					Optional[int]      )->Tuple:






   '''simple docstring'''

   __lowerCAmelCase					:	Dict      =       {}
   for key, single_urls in data_url.items():
    for download_callback in self.download_callbacks:
     if isinstance(_snake_case       ,  _snake_case      ):
      for single_url in single_urls:
       download_callback(_snake_case      )
     else:
      __lowerCAmelCase					:	List[str]      =       single_urls
      download_callback(_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(_snake_case       ,  _snake_case      ):
     __lowerCAmelCase					:	Optional[int]      =       [os.path.join(_snake_case       ,  urllib.parse.quote_plus(Path(_snake_case      ).name      )      ) for x in single_urls]
    else:
     __lowerCAmelCase					:	List[Any]      =       single_urls
     __lowerCAmelCase					:	List[str]      =       os.path.join(_snake_case       ,  urllib.parse.quote_plus(Path(_snake_case      ).name      )      )
    __lowerCAmelCase					:	Any      =       value

   # make sure that values are unique
   if all(isinstance(_snake_case       ,  _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
    __lowerCAmelCase					:	Union[str, Any]      =       {key: value + key for key, value in dummy_data_dict.items()}

   return dummy_data_dict






  def 				UpperCAmelCase__						(							self			:					Optional[int]       ,  _snake_case			:					List[Any]       ,  _snake_case			:					Any      )->Dict:






   '''simple docstring'''

   __lowerCAmelCase					:	Tuple      =       []
   # trick: if there are many shards named like `data.txt-000001-of-00300`, only use the first one
   __lowerCAmelCase					:	Optional[Any]      =       all(bool(re.findall("""[0-9]{3,}-of-[0-9]{3,}"""       ,  _snake_case      )      ) for url in data_url      )
   __lowerCAmelCase					:	Any      =       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):
    __lowerCAmelCase					:	List[Any]      =       [data_url[0]] * len(_snake_case      )
   for single_url in data_url:
    for download_callback in self.download_callbacks:
     download_callback(_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
    __lowerCAmelCase					:	str      =       os.path.join(_snake_case       ,  urllib.parse.quote_plus(single_url.split("""/"""      )[-1]      )      )
    dummy_data_list.append(_snake_case      )
   return dummy_data_list






  def 				UpperCAmelCase__						(							self			:					str       ,  _snake_case			:					int       ,  _snake_case			:					Tuple      )->Optional[int]:






   '''simple docstring'''

   for download_callback in self.download_callbacks:
    download_callback(_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
   __lowerCAmelCase					:	List[Any]      =       os.path.join(_snake_case       ,  urllib.parse.quote_plus(data_url.split("""/"""      )[-1]      )      )
   if os.path.exists(_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 				UpperCAmelCase__						(							self			:					List[str]      )->Tuple:






   '''simple docstring'''

   pass






  def 				UpperCAmelCase__						(							self			:					str      )->str:






   '''simple docstring'''

   pass






  def 				UpperCAmelCase__						(							self			:					Optional[int]       ,  _snake_case			:					int      )->Optional[Any]:






   '''simple docstring'''

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

   __lowerCAmelCase					:	Any      =       Path(_snake_case      )
   __lowerCAmelCase					:	str      =       _iter_archive_members(_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(_snake_case      ).as_posix(), file_path.open("""rb"""      )






  def 				UpperCAmelCase__						(							self			:					Tuple       ,  _snake_case			:					Union[str, Any]      )->List[str]:






   '''simple docstring'''

   if not isinstance(_snake_case       ,  _snake_case      ):
    __lowerCAmelCase					:	Tuple      =       [paths]
   for path in paths:
    if os.path.isfile(_snake_case      ):
     if os.path.basename(_snake_case      ).startswith((""".""", """__""")      ):
      return
     yield path
    else:
     for dirpath, dirnames, filenames in os.walk(_snake_case      ):
      if os.path.basename(_snake_case      ).startswith((""".""", """__""")      ):
       continue
      dirnames.sort()
      for filename in sorted(_snake_case      ):
       if filename.startswith((""".""", """__""")      ):
        continue
       yield os.path.join(_snake_case       ,  _snake_case      )






import random






def 	_SCREAMING_SNAKE_CASE		(      SCREAMING_SNAKE_CASE		:list   ,   SCREAMING_SNAKE_CASE		:Dict   )      ->   tuple:
 __lowerCAmelCase ,					__lowerCAmelCase ,					__lowerCAmelCase					:	List[str]      =       [], [], []
 for element in data:
  if element < pivot:
   less.append(SCREAMING_SNAKE_CASE   )
  elif element > pivot:
   greater.append(SCREAMING_SNAKE_CASE   )
  else:
   equal.append(SCREAMING_SNAKE_CASE   )
 return less, equal, greater







def 	_SCREAMING_SNAKE_CASE		(      SCREAMING_SNAKE_CASE		:list   ,   SCREAMING_SNAKE_CASE		:int   )      ->   Dict:
 # index = len(items) // 2 when trying to find the median
 #   (value of index when items is sorted)

 # invalid input
 if index >= len(SCREAMING_SNAKE_CASE   ) or index < 0:
  return None

 __lowerCAmelCase					:	Union[str, Any]      =       items[random.randint(0   ,   len(SCREAMING_SNAKE_CASE   ) - 1   )]
 __lowerCAmelCase					:	int      =       0
 __lowerCAmelCase ,					__lowerCAmelCase ,					__lowerCAmelCase					:	Tuple      =       _partition(SCREAMING_SNAKE_CASE   ,   SCREAMING_SNAKE_CASE   )
 __lowerCAmelCase					:	Optional[int]      =       len(SCREAMING_SNAKE_CASE   )
 __lowerCAmelCase					:	List[str]      =       len(SCREAMING_SNAKE_CASE   )

 # index is the pivot
 if m <= index < m + count:
  return pivot
 # must be in smaller
 elif m > index:
  return quick_select(SCREAMING_SNAKE_CASE   ,   SCREAMING_SNAKE_CASE   )
 # must be in larger
 else:
  return quick_select(SCREAMING_SNAKE_CASE   ,   index - (m + count)   )