






'''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    _UpperCAmelCase			:




   """simple docstring"""

   snake_case    				=						'''dummy_data'''
   snake_case    				=						'''datasets'''
   snake_case    				=						False

   def __init__(		self :	List[Any]      ,      __UpperCAmelCase :	str      ,      __UpperCAmelCase :	str      ,      __UpperCAmelCase :	Union[Version, str]      ,      __UpperCAmelCase :	Optional[str] = None      ,      __UpperCAmelCase :	bool = False      ,      __UpperCAmelCase :	bool = True      ,      __UpperCAmelCase :	Optional[List[Callable]] = None      ,      ):





         '''simple docstring'''





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

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

   @property
   def 						lowerCAmelCase (		self :	List[str]		):





         '''simple docstring'''





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

   @property
   def 						lowerCAmelCase (		self :	Union[str, Any]		):





         '''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 						lowerCAmelCase (		self :	int		):





         '''simple docstring'''





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

   def 						lowerCAmelCase (		self :	Dict		):





         '''simple docstring'''





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

         _A			     =	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 						lowerCAmelCase (		self :	List[str]		):





         '''simple docstring'''





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

   @property
   def 						lowerCAmelCase (		self :	int		):





         '''simple docstring'''





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

   @property
   def 						lowerCAmelCase (		self :	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 						lowerCAmelCase (		self :	Union[str, Any]      ,      __UpperCAmelCase :	Optional[Any]      ,      *__UpperCAmelCase :	Dict		):





         '''simple docstring'''





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





         '''simple docstring'''





         return self.download_and_extract(__UpperCAmelCase		)

   def 						lowerCAmelCase (		self :	Any      ,      __UpperCAmelCase :	Union[str, Any]      ,      __UpperCAmelCase :	str		):





         '''simple docstring'''





         return self.download_and_extract(__UpperCAmelCase		)

   def 						lowerCAmelCase (		self :	List[str]      ,      __UpperCAmelCase :	Optional[int]      ,      *__UpperCAmelCase :	List[str]      ,      **__UpperCAmelCase :	List[str]		):





         '''simple docstring'''





         return path

   def 						lowerCAmelCase (		self :	str		):





         '''simple docstring'''





         return {}

   def 						lowerCAmelCase (		self :	List[str]      ,      __UpperCAmelCase :	Any      ,      __UpperCAmelCase :	Optional[int]		):





         '''simple docstring'''





         _A			     =	{}
         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			     =	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			     =	[os.path.join(__UpperCAmelCase      ,      urllib.parse.quote_plus(Path(__UpperCAmelCase		).name		)		) for x in single_urls]
               else:
                     _A			     =	single_urls
                     _A			     =	os.path.join(__UpperCAmelCase      ,      urllib.parse.quote_plus(Path(__UpperCAmelCase		).name		)		)
               _A			     =	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			     =	{key: value + key for key, value in dummy_data_dict.items()}

         return dummy_data_dict

   def 						lowerCAmelCase (		self :	Union[str, Any]      ,      __UpperCAmelCase :	Tuple      ,      __UpperCAmelCase :	Optional[Any]		):





         '''simple docstring'''





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

   def 						lowerCAmelCase (		self :	str      ,      __UpperCAmelCase :	Optional[Any]      ,      __UpperCAmelCase :	List[str]		):





         '''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
         _A			     =	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 						lowerCAmelCase (		self :	Optional[int]		):





         '''simple docstring'''





         pass

   def 						lowerCAmelCase (		self :	Dict		):





         '''simple docstring'''





         pass

   def 						lowerCAmelCase (		self :	Any      ,      __UpperCAmelCase :	Optional[Any]		):





         '''simple docstring'''





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

         _A			     =	Path(__UpperCAmelCase		)
         _A			     =	_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 						lowerCAmelCase (		self :	Optional[int]      ,      __UpperCAmelCase :	str		):





         '''simple docstring'''





         if not isinstance(__UpperCAmelCase      ,      __UpperCAmelCase		):
               _A			     =	[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		)






import warnings
from functools import wraps
from typing import Callable





def 				UpperCAmelCase						(    lowercase							):







				"""simple docstring"""



				@wraps(lowercase							)
				def _inner_fn(*lowercase							,			**lowercase							):
								warnings.warn(
								    (F"'{fn.__name__}' is experimental and might be subject to breaking changes in the future.")							,			lowercase							,			)
								return fn(*lowercase							,			**lowercase							)

				return _inner_fn