


'''simple docstring'''






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   SCREAMING_SNAKE_CASE_						:
			__a       :   Optional[Any]       =	'dummy_data'
			__a       :   List[str]       =	'datasets'
			__a       :   str       =	False




			def __init__(   self       ,   lowercase       ,   lowercase       ,   lowercase       ,   lowercase = None       ,   lowercase = False       ,   lowercase = True       ,   lowercase = None       ,   )      ->    Tuple:


								'''simple docstring'''






								__SCREAMING_SNAKE_CASE       :				int       =			0
								__SCREAMING_SNAKE_CASE       :				str       =			dataset_name
								__SCREAMING_SNAKE_CASE       :				Optional[int]       =			cache_dir
								__SCREAMING_SNAKE_CASE       :				int       =			use_local_dummy_data
								__SCREAMING_SNAKE_CASE       :				Optional[int]       =			config
								# download_callbacks take a single url as input
								__SCREAMING_SNAKE_CASE       :				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
								__SCREAMING_SNAKE_CASE       :				str       =			load_existing_dummy_data

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




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


								'''simple docstring'''






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




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


								'''simple docstring'''






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




			def       _snake_case (   self							)      ->    str:


								'''simple docstring'''






								__SCREAMING_SNAKE_CASE       :				Dict       =			(
								    self.local_path_to_dummy_data if self.use_local_dummy_data is True else self.github_path_to_dummy_data
								)

								__SCREAMING_SNAKE_CASE       :				Dict       =			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       _snake_case (   self							)      ->    List[Any]:


								'''simple docstring'''






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




			@property
			def       _snake_case (   self							)      ->    int:


								'''simple docstring'''






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




			@property
			def       _snake_case (   self							)      ->    Dict:


								'''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       _snake_case (   self       ,   lowercase       ,   *lowercase							)      ->    Tuple:


								'''simple docstring'''






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


								'''simple docstring'''






								return self.download_and_extract(_UpperCAmelCase							)




			def       _snake_case (   self       ,   lowercase       ,   lowercase							)      ->    List[str]:


								'''simple docstring'''






								return self.download_and_extract(_UpperCAmelCase							)




			def       _snake_case (   self       ,   lowercase       ,   *lowercase       ,   **lowercase							)      ->    Union[str, Any]:


								'''simple docstring'''






								return path




			def       _snake_case (   self							)      ->    List[str]:


								'''simple docstring'''






								return {}




			def       _snake_case (   self       ,   lowercase       ,   lowercase							)      ->    List[str]:


								'''simple docstring'''






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

								return dummy_data_dict




			def       _snake_case (   self       ,   lowercase       ,   lowercase							)      ->    str:


								'''simple docstring'''






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




			def       _snake_case (   self       ,   lowercase       ,   lowercase							)      ->    Any:


								'''simple docstring'''






								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
								__SCREAMING_SNAKE_CASE       :				List[Any]       =			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       _snake_case (   self							)      ->    List[str]:


								'''simple docstring'''






								pass




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


								'''simple docstring'''






								pass




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


								'''simple docstring'''






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

								__SCREAMING_SNAKE_CASE       :				Dict       =			Path(_UpperCAmelCase							)
								__SCREAMING_SNAKE_CASE       :				Dict       =			_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       _snake_case (   self       ,   lowercase							)      ->    int:


								'''simple docstring'''






								if not isinstance(_UpperCAmelCase       ,   _UpperCAmelCase							):
													__SCREAMING_SNAKE_CASE       :				str       =			[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'''

# 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       __magic_name__		:
							lowerCAmelCase			:       Optional[Any]  							=   'dummy_data'
							lowerCAmelCase			:       List[str]  							=   'datasets'
							lowerCAmelCase			:       str  							=   False







							def __init__(				self   :			Tuple      ,_UpperCAmelCase   :			str      ,_UpperCAmelCase   :			str      ,_UpperCAmelCase   :			Union[Version, str]      ,_UpperCAmelCase   :			Optional[str] = None      ,_UpperCAmelCase   :			bool = False      ,_UpperCAmelCase   :			bool = True      ,_UpperCAmelCase   :			Optional[List[Callable]] = None      ,):
									_a	: int								=				0
									_a	: str								=				dataset_name
									_a	: Optional[int]								=				cache_dir
									_a	: int								=				use_local_dummy_data
									_a	: Optional[int]								=				config
									# download_callbacks take a single url as input
									_a	: 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
									_a	: str								=				load_existing_dummy_data

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







							@property
							def 				__lowercase     (				self   :			Any						):
									if self._dummy_file is None:
											_a	: Dict								=				self.download_dummy_data()
									return self._dummy_file







							@property
							def 				__lowercase     (				self   :			Optional[int]						):
									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 				__lowercase     (				self   :			Any						):
									return os.path.join(self.dummy_data_folder      ,'dummy_data.zip'						)







							def 				__lowercase     (				self   :			List[str]						):
									_a	: Dict								=				(
									    self.local_path_to_dummy_data if self.use_local_dummy_data is True else self.github_path_to_dummy_data
									)

									_a	: Dict								=				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 				__lowercase     (				self   :			List[str]						):
									return os.path.join(self.datasets_scripts_dir      ,self.dataset_name      ,self.dummy_zip_file						)







							@property
							def 				__lowercase     (				self   :			Optional[Any]						):
									if self._bucket_url is None:
											_a	: Any								=				hf_github_url(self.dataset_name      ,self.dummy_zip_file.replace(os.sep      ,'/'						)						)
									return self._bucket_url







							@property
							def 				__lowercase     (				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 				__lowercase     (				self   :			Dict      ,_UpperCAmelCase   :			str      ,*_UpperCAmelCase   :			int						):
									if self.load_existing_dummy_data:
											# dummy data is downloaded and tested
											_a	: List[Any]								=				self.dummy_file
									else:
											# dummy data cannot be downloaded and only the path to dummy file is returned
											_a	: str								=				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 				__lowercase     (				self   :			List[str]      ,_UpperCAmelCase   :			Optional[int]      ,*_UpperCAmelCase   :			Optional[int]						):
									return self.download_and_extract(_UpperCAmelCase						)







							def 				__lowercase     (				self   :			Tuple      ,_UpperCAmelCase   :			List[Any]      ,_UpperCAmelCase   :			Optional[Any]						):
									return self.download_and_extract(_UpperCAmelCase						)







							def 				__lowercase     (				self   :			List[str]      ,_UpperCAmelCase   :			List[str]      ,*_UpperCAmelCase   :			int      ,**_UpperCAmelCase   :			Dict						):
									return path







							def 				__lowercase     (				self   :			Optional[Any]						):
									return {}







							def 				__lowercase     (				self   :			Optional[Any]      ,_UpperCAmelCase   :			List[Any]      ,_UpperCAmelCase   :			str						):
									_a	: int								=				{}
									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:
															_a	: 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						):
													_a	: Optional[int]								=				[os.path.join(_UpperCAmelCase      ,urllib.parse.quote_plus(Path(_UpperCAmelCase						).name						)						) for x in single_urls]
											else:
													_a	: Tuple								=				single_urls
													_a	: Optional[Any]								=				os.path.join(_UpperCAmelCase      ,urllib.parse.quote_plus(Path(_UpperCAmelCase						).name						)						)
											_a	: Union[str, Any]								=				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
											_a	: Dict								=				{key: value + key for key, value in dummy_data_dict.items()}

									return dummy_data_dict







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







							def 				__lowercase     (				self   :			List[Any]      ,_UpperCAmelCase   :			Union[str, Any]      ,_UpperCAmelCase   :			List[str]						):
									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
									_a	: List[Any]								=				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 				__lowercase     (				self   :			Tuple						):
									pass







							def 				__lowercase     (				self   :			Optional[int]						):
									pass







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

									_a	: Dict								=				Path(_UpperCAmelCase						)
									_a	: Dict								=				_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 				__lowercase     (				self   :			Any      ,_UpperCAmelCase   :			Union[str, Any]						):
									if not isinstance(_UpperCAmelCase      ,_UpperCAmelCase						):
											_a	: str								=				[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						)




