
"""simple docstring"""





from pathlib import PurePosixPath
from typing import Optional

import fsspec
from fsspec import AbstractFileSystem
from huggingface_hub.hf_api import DatasetInfo

from ..utils.file_utils import get_authentication_headers_for_url
from ..utils.hub import hf_hub_url






class        _UpperCAmelCase(       lowerCamelCase      ):
		lowercase__         = ''
		lowercase__         = 'hf-legacy'  # "hf://"" is reserved for hffs



		def __init__(   self							,						__a = None							,						__a = None							,						**__a							,						)			->			int:






							'''simple docstring'''
							super().__init__(self							,						**__a)
							_UpperCamelCase									=    repo_info
							_UpperCamelCase									=    token
							_UpperCamelCase									=    None



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






							'''simple docstring'''
							if self.dir_cache is None:
												_UpperCamelCase									=    {}
												for hf_file in self.repo_info.siblings:
																	# TODO(QL): add sizes
																	_UpperCamelCase									=    {
																	    '''name''': hf_file.rfilename,
																	    '''size''': None,
																	    '''type''': '''file''',
																	}
																	self.dir_cache.update(
																	    {
																	        str(__a): {'''name''': str(__a), '''size''': None, '''type''': '''directory'''}
																	        for d in list(PurePosixPath(hf_file.rfilename).parents)[:-1]
																	    })



		def 		UpperCAmelCase				(   self							,						__a							,						__a = "rb"							,						**__a							,						)			->			List[str]:






							'''simple docstring'''
							if not isinstance(self.repo_info							,						__a):
												raise NotImplementedError(F'''Open is only implemented for dataset repositories, but got {self.repo_info}''')
							_UpperCamelCase									=    hf_hub_url(self.repo_info.id							,						__a							,						revision=self.repo_info.sha)
							return fsspec.open(
							    __a							,						mode=__a							,						headers=get_authentication_headers_for_url(__a							,						use_auth_token=self.token)							,						client_kwargs={'''trust_env''': True}							,						).open()



		def 		UpperCAmelCase				(   self							,						__a							,						**__a)			->			Dict:






							'''simple docstring'''
							self._get_dirs()
							_UpperCamelCase									=    self._strip_protocol(__a)
							if path in self.dir_cache:
												return self.dir_cache[path]
							else:
												raise FileNotFoundError(__a)




		def 		UpperCAmelCase				(   self							,						__a							,						__a=False							,						**__a)			->			str:






							'''simple docstring'''
							self._get_dirs()
							_UpperCamelCase									=    PurePosixPath(path.strip('''/'''))
							_UpperCamelCase									=    {}
							for p, f in self.dir_cache.items():
												_UpperCamelCase									=    PurePosixPath(p.strip('''/'''))
												_UpperCamelCase									=    p.parent
												if root == path:
																	_UpperCamelCase									=    f
							_UpperCamelCase									=    list(paths.values())
							if detail:
												return out
							else:
												return sorted(f['''name'''] for f in out)









import contextlib
from multiprocessing import Pool, RLock

from tqdm.auto import tqdm

from ..utils import experimental, logging


A_			:					Any    			=     logging.get_logger(__name__)



class        _a		:


					'''simple docstring'''






					UpperCAmelCase__:  str    				=			None



@experimental
def 		UpperCamelCase   (lowercase_:					int       , lowercase_:					Any       , lowercase_:					str       , lowercase_:					str       , lowercase_:					List[str]       , lowercase_:					List[Any]       , lowercase_:					Union[str, Any]   )	-> Union[str, Any]:
	if ParallelBackendConfig.backend_name is None:
		return _map_with_multiprocessing_pool(
		    lowercase_       , lowercase_       , lowercase_       , lowercase_       , lowercase_       , lowercase_       , lowercase_   )

	return _map_with_joblib(lowercase_       , lowercase_       , lowercase_       , lowercase_       , lowercase_       , lowercase_       , lowercase_   )

def 		UpperCamelCase   (lowercase_:					Tuple       , lowercase_:					List[Any]       , lowercase_:					Tuple       , lowercase_:					Tuple       , lowercase_:					List[str]       , lowercase_:					Dict       , lowercase_:					Tuple   )	-> Tuple:
	A__				:       Union[str, Any]	  =						num_proc if num_proc <= len(lowercase_   ) else len(lowercase_   )
	A__				:       str	  =						[]  # We organize the splits ourselve (contiguous splits)
	for index in range(lowercase_   ):
		A__				:       Tuple	  =						len(lowercase_   ) // num_proc
		A__				:       Tuple	  =						len(lowercase_   ) % num_proc
		A__				:       Optional[Any]	  =						div * index + min(lowercase_       , lowercase_   )
		A__				:       Union[str, Any]	  =						start + div + (1 if index < mod else 0)
		split_kwds.append((function, iterable[start:end], types, index, disable_tqdm, desc)   )

	if len(lowercase_   ) != sum(len(i[1]   ) for i in split_kwds   ):
		raise ValueError(
		    f"""Error dividing inputs iterable among processes. """
		    f"""Total number of objects {len(lowercase_   )}, """
		    f"""length: {sum(len(i[1]   ) for i in split_kwds   )}"""   )

	logger.info(
	    f"""Spawning {num_proc} processes for {len(lowercase_   )} objects in slices of {[len(i[1]   ) for i in split_kwds]}"""   )
	A__  ,  A__				:       Optional[int]	  =						None, None
	if not disable_tqdm:
		A__  ,  A__				:       List[str]	  =						(RLock(),), tqdm.set_lock
	with Pool(lowercase_       , initargs=lowercase_       , initializer=lowercase_   ) as pool:
		A__				:       Optional[Any]	  =						pool.map(lowercase_       , lowercase_   )
	logger.info(f"""Finished {num_proc} processes"""   )
	A__				:       Tuple	  =						[obj for proc_res in mapped for obj in proc_res]
	logger.info(f"""Unpacked {len(lowercase_   )} objects"""   )

	return mapped

def 		UpperCamelCase   (lowercase_:					Union[str, Any]       , lowercase_:					Dict       , lowercase_:					str       , lowercase_:					Union[str, Any]       , lowercase_:					List[Any]       , lowercase_:					Dict       , lowercase_:					Optional[Any]   )	-> Union[str, Any]:
	# progress bar is not yet supported for _map_with_joblib, because tqdm couldn't accurately be applied to joblib,
	# and it requires monkey-patching joblib internal classes which is subject to change
	import joblib

	with joblib.parallel_backend(ParallelBackendConfig.backend_name       , n_jobs=lowercase_   ):
		return joblib.Parallel()(
		    joblib.delayed(lowercase_   )((function, obj, types, None, True, None)   ) for obj in iterable   )


@experimental
@contextlib.contextmanager
def 		UpperCamelCase   (lowercase_:					str   )	-> str:
	A__				:       int	  =						backend_name

	if backend_name == "spark":
		from joblibspark import register_spark

		register_spark()

		# TODO: call create_cache_and_write_probe if "download" in steps
		# TODO: raise NotImplementedError when Dataset.map etc is called

	try:
		yield
	finally:
		A__				:       Optional[Any]	  =						None



