
# 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"""







     SCREAMING_SNAKE_CASE_		   =  '''dummy_data'''
     SCREAMING_SNAKE_CASE_		   =  '''datasets'''
     SCREAMING_SNAKE_CASE_		   =  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						,						)  ->   List[Any]:




           """simple docstring"""







           UpperCamelCase__    :   List[str]					=				0
           UpperCamelCase__    :   Optional[Any]					=				dataset_name
           UpperCamelCase__    :   Dict					=				cache_dir
           UpperCamelCase__    :   Dict					=				use_local_dummy_data
           UpperCamelCase__    :   Tuple					=				config
           # download_callbacks take a single url as input
           UpperCamelCase__    :   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
           UpperCamelCase__    :   Optional[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__    :   Tuple					=				None
           UpperCamelCase__    :   Optional[int]					=				None






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




           """simple docstring"""







           if self._dummy_file is None:
                 UpperCamelCase__    :   int					=				self.download_dummy_data()
           return self._dummy_file






     @property
     def    __SCREAMING_SNAKE_CASE			(							self  )  ->   Dict:




           """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    __SCREAMING_SNAKE_CASE			(							self  )  ->   List[Any]:




           """simple docstring"""







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






     def    __SCREAMING_SNAKE_CASE			(							self  )  ->   str:




           """simple docstring"""







           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__    :   Union[str, Any]					=				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    __SCREAMING_SNAKE_CASE			(							self  )  ->   Tuple:




           """simple docstring"""







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






     @property
     def    __SCREAMING_SNAKE_CASE			(							self  )  ->   Any:




           """simple docstring"""







           if self._bucket_url is None:
                 UpperCamelCase__    :   Tuple					=				hf_github_url(self.dataset_name						,						self.dummy_zip_file.replace(os.sep						,						'''/'''  )  )
           return self._bucket_url






     @property
     def    __SCREAMING_SNAKE_CASE			(							self  )  ->   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    __SCREAMING_SNAKE_CASE			(							self						,						__SCREAMING_SNAKE_CASE						,						*__SCREAMING_SNAKE_CASE  )  ->   str:




           """simple docstring"""







           if self.load_existing_dummy_data:
                 # dummy data is downloaded and tested
                 UpperCamelCase__    :   List[Any]					=				self.dummy_file
           else:
                 # dummy data cannot be downloaded and only the path to dummy file is returned
                 UpperCamelCase__    :   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    __SCREAMING_SNAKE_CASE			(							self						,						__SCREAMING_SNAKE_CASE						,						*__SCREAMING_SNAKE_CASE  )  ->   Union[str, Any]:




           """simple docstring"""







           return self.download_and_extract(__SCREAMING_SNAKE_CASE  )






     def    __SCREAMING_SNAKE_CASE			(							self						,						__SCREAMING_SNAKE_CASE						,						__SCREAMING_SNAKE_CASE  )  ->   Dict:




           """simple docstring"""







           return self.download_and_extract(__SCREAMING_SNAKE_CASE  )






     def    __SCREAMING_SNAKE_CASE			(							self						,						__SCREAMING_SNAKE_CASE						,						*__SCREAMING_SNAKE_CASE						,						**__SCREAMING_SNAKE_CASE  )  ->   str:




           """simple docstring"""







           return path






     def    __SCREAMING_SNAKE_CASE			(							self  )  ->   Optional[int]:




           """simple docstring"""







           return {}






     def    __SCREAMING_SNAKE_CASE			(							self						,						__SCREAMING_SNAKE_CASE						,						__SCREAMING_SNAKE_CASE  )  ->   List[Any]:




           """simple docstring"""







           UpperCamelCase__    :   str					=				{}
           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__    :   Any					=				[os.path.join(__SCREAMING_SNAKE_CASE						,						urllib.parse.quote_plus(Path(__SCREAMING_SNAKE_CASE  ).name  )  ) for x in single_urls]
                 else:
                       UpperCamelCase__    :   Dict					=				single_urls
                       UpperCamelCase__    :   List[Any]					=				os.path.join(__SCREAMING_SNAKE_CASE						,						urllib.parse.quote_plus(Path(__SCREAMING_SNAKE_CASE  ).name  )  )
                 UpperCamelCase__    :   str					=				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__    :   str					=				{key: value + key for key, value in dummy_data_dict.items()}

           return dummy_data_dict






     def    __SCREAMING_SNAKE_CASE			(							self						,						__SCREAMING_SNAKE_CASE						,						__SCREAMING_SNAKE_CASE  )  ->   Optional[Any]:




           """simple docstring"""







           UpperCamelCase__    :   Dict					=				[]
           # trick: if there are many shards named like `data.txt-000001-of-00300`, only use the first one
           UpperCamelCase__    :   Optional[Any]					=				all(bool(re.findall('''[0-9]{3,}-of-[0-9]{3,}'''						,						__SCREAMING_SNAKE_CASE  )  ) for url in data_url  )
           UpperCamelCase__    :   int					=				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__    :   int					=				[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__    :   Union[str, Any]					=				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    __SCREAMING_SNAKE_CASE			(							self						,						__SCREAMING_SNAKE_CASE						,						__SCREAMING_SNAKE_CASE  )  ->   List[Any]:




           """simple docstring"""







           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(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    __SCREAMING_SNAKE_CASE			(							self  )  ->   Optional[int]:




           """simple docstring"""







           pass






     def    __SCREAMING_SNAKE_CASE			(							self  )  ->   List[Any]:




           """simple docstring"""







           pass






     def    __SCREAMING_SNAKE_CASE			(							self						,						__SCREAMING_SNAKE_CASE  )  ->   List[Any]:




           """simple docstring"""







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

           UpperCamelCase__    :   Dict					=				Path(__SCREAMING_SNAKE_CASE  )
           UpperCamelCase__    :   Optional[int]					=				_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    __SCREAMING_SNAKE_CASE			(							self						,						__SCREAMING_SNAKE_CASE  )  ->   Tuple:




           """simple docstring"""







           if not isinstance(__SCREAMING_SNAKE_CASE						,						__SCREAMING_SNAKE_CASE  ):
                 UpperCamelCase__    :   List[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  )




import math


def 							SCREAMING_SNAKE_CASE_      (			UpperCamelCase__		):
      UpperCamelCase__    :   List[str]					=				math.loga(math.sqrt(4 * positive_integer + 1		) / 2 + 1 / 2		)

      return exponent == int(UpperCamelCase__		)


def 							SCREAMING_SNAKE_CASE_      (			UpperCamelCase__ = 1 / 1_2_3_4_5		):
      UpperCamelCase__    :   Dict					=				0
      UpperCamelCase__    :   Tuple					=				0

      UpperCamelCase__    :   Optional[Any]					=				3
      while True:
            UpperCamelCase__    :   Union[str, Any]					=				(integer**2 - 1) / 4
            # if candidate is an integer, then there is a partition for k
            if partition_candidate == int(UpperCamelCase__		):
                  UpperCamelCase__    :   int					=				int(UpperCamelCase__		)
                  total_partitions += 1
                  if check_partition_perfect(UpperCamelCase__		):
                        perfect_partitions += 1
            if perfect_partitions > 0:
                  if perfect_partitions / total_partitions < max_proportion:
                        return int(UpperCamelCase__		)
            integer += 1


if __name__ == "__main__":
    print(F'''{solution() = }''')


