




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 a :
						"""simple docstring"""

						UpperCamelCase_	:       List[Any]       	=		"""dummy_data"""
						UpperCamelCase_	:       str       	=		"""datasets"""
						UpperCamelCase_	:       Tuple       	=		False






						def __init__( self :     Optional[Any]				,							lowerCamelCase__ :     Any				,							lowerCamelCase__ :     Optional[int]				,							lowerCamelCase__ :     Union[str, Any]				,							lowerCamelCase__ :     List[Any] = None				,							lowerCamelCase__ :     str = False				,							lowerCamelCase__ :     str = True				,							lowerCamelCase__ :     List[str] = None				,							)    ->						Dict:
													"""simple docstring"""


													__lowercase      =    0
													__lowercase      =    dataset_name
													__lowercase      =    cache_dir
													__lowercase      =    use_local_dummy_data
													__lowercase      =    config
													# download_callbacks take a single url as input
													__lowercase      =    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
													__lowercase      =    load_existing_dummy_data

													# TODO(PVP, QL) might need to make this more general
													__lowercase      =    str(lowercase__				)
													# to be downloaded
													__lowercase      =    None
													__lowercase      =    None






						@property
						def     UpperCAmelCase_      ( self :     Optional[Any]				)    ->						Dict:
													"""simple docstring"""


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






						@property
						def     UpperCAmelCase_      ( self :     Dict				)    ->						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 :     Union[str, Any]				)    ->						List[str]:
													"""simple docstring"""


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






						def     UpperCAmelCase_      ( self :     Tuple				)    ->						Dict:
													"""simple docstring"""


													__lowercase      =    (
													    self.local_path_to_dummy_data if self.use_local_dummy_data is True else self.github_path_to_dummy_data
													)

													__lowercase      =    cached_path(
													    lowercase__				,							cache_dir=self.cache_dir				,							extract_compressed_file=lowercase__				,							force_extract=lowercase__				)

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






						@property
						def     UpperCAmelCase_      ( self :     List[Any]				)    ->						List[Any]:
													"""simple docstring"""


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






						@property
						def     UpperCAmelCase_      ( self :     int				)    ->						Union[str, Any]:
													"""simple docstring"""


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






						@property
						def     UpperCAmelCase_      ( self :     int				)    ->						str:
													"""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 :     str				,							lowerCamelCase__ :     List[Any]				,							*lowerCamelCase__ :     int				)    ->						Union[str, Any]:
													"""simple docstring"""


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

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






						def     UpperCAmelCase_      ( self :     Optional[Any]				,							lowerCamelCase__ :     int				,							*lowerCamelCase__ :     int				)    ->						Dict:
													"""simple docstring"""


													return self.download_and_extract(lowercase__				)






						def     UpperCAmelCase_      ( self :     int				,							lowerCamelCase__ :     Optional[Any]				,							lowerCamelCase__ :     Optional[int]				)    ->						Tuple:
													"""simple docstring"""


													return self.download_and_extract(lowercase__				)






						def     UpperCAmelCase_      ( self :     Union[str, Any]				,							lowerCamelCase__ :     List[Any]				,							*lowerCamelCase__ :     str				,							**lowerCamelCase__ :     List[str]				)    ->						List[str]:
													"""simple docstring"""


													return path






						def     UpperCAmelCase_      ( self :     List[Any]				)    ->						Union[str, Any]:
													"""simple docstring"""


													return {}






						def     UpperCAmelCase_      ( self :     int				,							lowerCamelCase__ :     Optional[int]				,							lowerCamelCase__ :     str				)    ->						Union[str, Any]:
													"""simple docstring"""


													__lowercase      =    {}
													for key, single_urls in data_url.items():
																				for download_callback in self.download_callbacks:
																											if isinstance(lowercase__				,							lowercase__				):
																																		for single_url in single_urls:
																																									download_callback(lowercase__				)
																											else:
																																		__lowercase      =    single_urls
																																		download_callback(lowercase__				)
            # 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(lowercase__				,							lowercase__				):
																											__lowercase      =    [os.path.join(lowercase__				,							urllib.parse.quote_plus(Path(lowercase__				).name				)				) for x in single_urls]
																				else:
																											__lowercase      =    single_urls
																											__lowercase      =    os.path.join(lowercase__				,							urllib.parse.quote_plus(Path(lowercase__				).name				)				)
																				__lowercase      =    value

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

													return dummy_data_dict






						def     UpperCAmelCase_      ( self :     Optional[int]				,							lowerCamelCase__ :     List[Any]				,							lowerCamelCase__ :     Optional[Any]				)    ->						int:
													"""simple docstring"""


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






						def     UpperCAmelCase_      ( self :     Any				,							lowerCamelCase__ :     Any				,							lowerCamelCase__ :     Optional[int]				)    ->						Union[str, Any]:
													"""simple docstring"""


													for download_callback in self.download_callbacks:
																				download_callback(lowercase__				)
													# 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
													__lowercase      =    os.path.join(lowercase__				,							urllib.parse.quote_plus(data_url.split('''/'''				)[-1]				)				)
													if os.path.exists(lowercase__				) 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]				)    ->						List[str]:
													"""simple docstring"""


													pass






						def     UpperCAmelCase_      ( self :     int				)    ->						str:
													"""simple docstring"""


													pass






						def     UpperCAmelCase_      ( self :     Dict				,							lowerCamelCase__ :     Dict				)    ->						str:
													"""simple docstring"""


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

													__lowercase      =    Path(lowercase__				)
													__lowercase      =    _iter_archive_members(lowercase__				) 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(lowercase__				).as_posix(), file_path.open('''rb'''				)






						def     UpperCAmelCase_      ( self :     List[Any]				,							lowerCamelCase__ :     List[Any]				)    ->						Dict:
													"""simple docstring"""


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












from __future__ import annotations







def 		_A(       UpperCamelCase__							:			list[int]				,       UpperCamelCase__							:			list[int]				,       UpperCamelCase__							:			int				)    -> tuple[float, list[float]]:
							'''simple docstring'''


							__lowercase      =    list(range(len(UpperCamelCase__				)				)				)
							__lowercase      =    [v / w for v, w in zip(UpperCamelCase__				,       UpperCamelCase__				)]
							index.sort(key=lambda UpperCamelCase__				: ratio[i]				,       reverse=UpperCamelCase__				)

							__lowercase      =    0
							__lowercase      =    [0] * len(UpperCamelCase__				)
							for i in index:
														if weight[i] <= capacity:
																					__lowercase      =    1
																					max_value += value[i]
																					capacity -= weight[i]
														else:
																					__lowercase      =    capacity / weight[i]
																					max_value += value[i] * capacity / weight[i]
																					break

							return max_value, fractions


if __name__ == "__main__":
			import doctest

			doctest.testmod()






