



'''simple docstring'''





# 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


_lowerCAmelCase										=     get_logger(__name__)






class 	lowerCAmelCase_:
  '''simple docstring'''




  __lowercase							:				Optional[Any]           =				'''dummy_data'''
  __lowercase							:				Any           =				'''datasets'''
  __lowercase							:				Dict           =				False




  def __init__(   self  ,__UpperCAmelCase  ,__UpperCAmelCase  ,__UpperCAmelCase  ,__UpperCAmelCase = None  ,__UpperCAmelCase = False  ,__UpperCAmelCase = True  ,__UpperCAmelCase = None  ,)   ->		Any:
      lowerCAmelCase__			:  int											= 0
      lowerCAmelCase__			:  Optional[Any]											= dataset_name
      lowerCAmelCase__			:  List[Any]											= cache_dir
      lowerCAmelCase__			:  Optional[int]											= use_local_dummy_data
      lowerCAmelCase__			:  int											= 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__			:  Any											= str(__UpperCAmelCase				)
      # to be downloaded
      lowerCAmelCase__			:  List[Any]											= None
      lowerCAmelCase__			:  Optional[Any]											= None




  @property
  def 							UpperCAmelCase_     (   self				)   ->		Dict:
      if self._dummy_file is None:
          lowerCAmelCase__			:  Optional[Any]											= self.download_dummy_data()
      return self._dummy_file




  @property
  def 							UpperCAmelCase_     (   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 							UpperCAmelCase_     (   self				)   ->		Tuple:
      return os.path.join(self.dummy_data_folder  ,"""dummy_data.zip"""				)




  def 							UpperCAmelCase_     (   self				)   ->		Any:
      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__			:  List[Any]											= cached_path(
          __UpperCAmelCase  ,cache_dir=self.cache_dir  ,extract_compressed_file=__UpperCAmelCase  ,force_extract=__UpperCAmelCase				)

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




  @property
  def 							UpperCAmelCase_     (   self				)   ->		Optional[Any]:
      return os.path.join(self.datasets_scripts_dir  ,self.dataset_name  ,self.dummy_zip_file				)




  @property
  def 							UpperCAmelCase_     (   self				)   ->		Optional[int]:
      if self._bucket_url is None:
          lowerCAmelCase__			:  int											= hf_github_url(self.dataset_name  ,self.dummy_zip_file.replace(os.sep  ,"""/"""				)				)
      return self._bucket_url




  @property
  def 							UpperCAmelCase_     (   self				)   ->		List[str]:
      # 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 							UpperCAmelCase_     (   self  ,__UpperCAmelCase  ,*__UpperCAmelCase				)   ->		Dict:
      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__			:  Optional[int]											= self.dummy_file_name

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




  def 							UpperCAmelCase_     (   self  ,__UpperCAmelCase  ,*__UpperCAmelCase				)   ->		List[Any]:
      return self.download_and_extract(__UpperCAmelCase				)




  def 							UpperCAmelCase_     (   self  ,__UpperCAmelCase  ,__UpperCAmelCase				)   ->		str:
      return self.download_and_extract(__UpperCAmelCase				)




  def 							UpperCAmelCase_     (   self  ,__UpperCAmelCase  ,*__UpperCAmelCase  ,**__UpperCAmelCase				)   ->		Any:
      return path




  def 							UpperCAmelCase_     (   self				)   ->		Union[str, Any]:
      return {}




  def 							UpperCAmelCase_     (   self  ,__UpperCAmelCase  ,__UpperCAmelCase				)   ->		Dict:
      lowerCAmelCase__			:  Union[str, Any]											= {}
      for key, single_urls in data_url.items():
          for download_callback in self.download_callbacks:
              if isinstance(__UpperCAmelCase  ,__UpperCAmelCase				):
                  for single_url in single_urls:
                      download_callback(__UpperCAmelCase				)
              else:
                  lowerCAmelCase__			:  Union[str, Any]											= single_urls
                  download_callback(__UpperCAmelCase				)
            # 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(__UpperCAmelCase  ,__UpperCAmelCase				):
              lowerCAmelCase__			:  str											= [os.path.join(__UpperCAmelCase  ,urllib.parse.quote_plus(Path(__UpperCAmelCase				).name				)				) for x in single_urls]
          else:
              lowerCAmelCase__			:  Dict											= single_urls
              lowerCAmelCase__			:  Optional[int]											= os.path.join(__UpperCAmelCase  ,urllib.parse.quote_plus(Path(__UpperCAmelCase				).name				)				)
          lowerCAmelCase__			:  Optional[int]											= value

      # make sure that values are unique
      if all(isinstance(__UpperCAmelCase  ,__UpperCAmelCase				) 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__			:  Tuple											= {key: value + key for key, value in dummy_data_dict.items()}

      return dummy_data_dict




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




  def 							UpperCAmelCase_     (   self  ,__UpperCAmelCase  ,__UpperCAmelCase				)   ->		Optional[Any]:
      for download_callback in self.download_callbacks:
          download_callback(__UpperCAmelCase				)
      # 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(__UpperCAmelCase  ,urllib.parse.quote_plus(data_url.split("""/"""				)[-1]				)				)
      if os.path.exists(__UpperCAmelCase				) 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				)   ->		Any:
      pass




  def 							UpperCAmelCase_     (   self				)   ->		List[Any]:
      pass




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

      lowerCAmelCase__			:  Optional[Any]											= Path(__UpperCAmelCase				)
      lowerCAmelCase__			:  List[str]											= _iter_archive_members(__UpperCAmelCase				) 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(__UpperCAmelCase				).as_posix(), file_path.open("""rb"""				)






  def 							UpperCAmelCase_     (   self  ,__UpperCAmelCase				)   ->		Union[str, Any]:
      if not isinstance(__UpperCAmelCase  ,__UpperCAmelCase				):
          lowerCAmelCase__			:  Optional[int]											= [paths]
      for path in paths:
          if os.path.isfile(__UpperCAmelCase				):
              if os.path.basename(__UpperCAmelCase				).startswith((""".""", """__""")				):
                  return
              yield path
          else:
              for dirpath, dirnames, filenames in os.walk(__UpperCAmelCase				):
                  if os.path.basename(__UpperCAmelCase				).startswith((""".""", """__""")				):
                      continue
                  dirnames.sort()
                  for filename in sorted(__UpperCAmelCase				):
                      if filename.startswith((""".""", """__""")				):
                          continue
                      yield os.path.join(__UpperCAmelCase  ,__UpperCAmelCase				)







'''simple docstring'''





def        _SCREAMING_SNAKE_CASE  (	UpperCamelCase      ):



    """simple docstring"""





    if any(not isinstance(UpperCamelCase							,   UpperCamelCase      ) or x < 0 for x in sequence      ):
        raise TypeError("""Sequence must be list of non-negative integers"""      )
    for _ in range(len(UpperCamelCase      )      ):
        for i, (rod_upper, rod_lower) in enumerate(zip(UpperCamelCase							,   sequence[1:]      )      ):
            if rod_upper > rod_lower:
                sequence[i] -= rod_upper - rod_lower
                sequence[i + 1] += rod_upper - rod_lower
    return sequence


if __name__ == "__main__":
 assert bead_sort([5, 4, 3, 2, 1]) == [1, 2, 3, 4, 5]
 assert bead_sort([7, 9, 4, 3, 5]) == [3, 4, 5, 7, 9]


