




"""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       lowerCAmelCase__       (			_UpperCAmelCase    ):


				"""simple docstring"""





				__UpperCAmelCase :     List[Any]       =      ''
				__UpperCAmelCase :     Union[str, Any]       =      'hf-legacy'  # "hf://"" is reserved for hffs



				def __init__(     self					:	Tuple    ,   lowercase__					:	Optional[DatasetInfo] = None    ,   lowercase__					:	Optional[str] = None    ,   **lowercase__					:	Any    ,   ):
						super().__init__(self    ,   **__UpperCamelCase						)
						__lowercase				:		int												=				repo_info
						__lowercase				:		Dict												=				token
						__lowercase				:		List[str]												=				None



				def       snake_case    (     self					:	List[str]						):






						if self.dir_cache is None:
								__lowercase				:		str												=				{}
								for hf_file in self.repo_info.siblings:
										# TODO(QL): add sizes
										__lowercase				:		List[Any]												=				{
										    "name": hf_file.rfilename,
										    "size": None,
										    "type": "file",
										}
										self.dir_cache.update(
										    {
										        str(__UpperCamelCase						): {"name": str(__UpperCamelCase						), "size": None, "type": "directory"}
										        for d in list(PurePosixPath(hf_file.rfilename						).parents						)[:-1]
										    }						)



				def       snake_case    (     self					:	Tuple    ,   lowercase__					:	str    ,   lowercase__					:	str = "rb"    ,   **lowercase__					:	Any    ,   ):






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



				def       snake_case    (     self					:	int    ,   lowercase__					:	int    ,   **lowercase__					:	Dict						):
						self._get_dirs()
						__lowercase				:		Any												=				self._strip_protocol(__UpperCamelCase						)
						if path in self.dir_cache:
								return self.dir_cache[path]
						else:
								raise FileNotFoundError(__UpperCamelCase						)



				def       snake_case    (     self					:	List[str]    ,   lowercase__					:	Union[str, Any]    ,   lowercase__					:	Tuple=False    ,   **lowercase__					:	List[str]						):
						self._get_dirs()
						__lowercase				:		Optional[Any]												=				PurePosixPath(path.strip("/"						)						)
						__lowercase				:		int												=				{}
						for p, f in self.dir_cache.items():
								__lowercase				:		List[Any]												=				PurePosixPath(p.strip("/"						)						)
								__lowercase				:		Optional[int]												=				p.parent
								if root == path:
										__lowercase				:		List[str]												=				f
						__lowercase				:		Union[str, Any]												=				list(paths.values()						)
						if detail:
								return out
						else:
								return sorted(f["name"] for f in out						)







"""simple docstring"""







from collections import deque

def 						snake_case__       (					_lowerCamelCase				)			->Dict:






		"""simple docstring"""


		__lowercase				:		Any												=				len(_lowerCamelCase				)
		__lowercase				:		str												=				deque()
		__lowercase				:		Tuple												=				[False for _ in range(_lowerCamelCase				)]
		__lowercase				:		Optional[int]												=				[-1 for _ in range(_lowerCamelCase				)]
		__lowercase				:		Dict												=				index_of[:]

		def strong_connect(_lowerCamelCase,  _lowerCamelCase,  _lowerCamelCase				):
				__lowercase				:		List[str]												=				index  # the number when this node is seen
				__lowercase				:		List[str]												=				index  # lowest rank node reachable from here
				index += 1
				stack.append(_lowerCamelCase				)
				__lowercase				:		List[Any]												=				True

				for w in g[v]:
						if index_of[w] == -1:
								__lowercase				:		Optional[int]												=				strong_connect(_lowerCamelCase,  _lowerCamelCase,  _lowerCamelCase				)
								__lowercase				:		List[Any]												=				(
								    lowlink_of[w] if lowlink_of[w] < lowlink_of[v] else lowlink_of[v]
								)
						elif on_stack[w]:
								__lowercase				:		List[Any]												=				(
								    lowlink_of[w] if lowlink_of[w] < lowlink_of[v] else lowlink_of[v]
								)

				if lowlink_of[v] == index_of[v]:
						__lowercase				:		Any												=				[]
						__lowercase				:		List[Any]												=				stack.pop()
						__lowercase				:		Any												=				False
						component.append(_lowerCamelCase				)
						while w != v:
								__lowercase				:		List[str]												=				stack.pop()
								__lowercase				:		Dict												=				False
								component.append(_lowerCamelCase				)
						components.append(_lowerCamelCase				)
				return index

		__lowercase				:		Tuple												=				[]
		for v in range(_lowerCamelCase				):
				if index_of[v] == -1:
						strong_connect(_lowerCamelCase,  0,  _lowerCamelCase				)

		return components

def 						snake_case__       (					_lowerCamelCase,  _lowerCamelCase				)			->Tuple:






		"""simple docstring"""


		__lowercase				:		int												=				[[] for _ in range(_lowerCamelCase				)]
		for u, v in edges:
				g[u].append(_lowerCamelCase				)
		return g


if __name__ == "__main__":
						# Test
						__A   :  int					=      7
						__A   :  int					=      [0, 0, 1, 2, 3, 3, 4, 4, 6]
						__A   :  List[Any]					=      [1, 3, 2, 0, 1, 4, 5, 6, 5]
						__A   :  List[str]					=      [(u, v) for u, v in zip(source, target)]
						__A   :  List[str]					=      create_graph(n_vertices, edges)

						assert [[5], [6], [4], [3, 2, 1, 0]] == tarjan(g)
