

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 						_A     (				snake_case				):





  '''simple docstring'''



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





  def __init__(  self   ,SCREAMING_SNAKE_CASE_ = None   ,SCREAMING_SNAKE_CASE_ = None   ,**SCREAMING_SNAKE_CASE_   ,):

      '''simple docstring'''
      super().__init__(self   ,**SCREAMING_SNAKE_CASE_    )
      snake_case							:		List[Any]        =		repo_info
      snake_case							:		Dict        =		token
      snake_case							:		Any        =		None





  def    snake_case_       (  self    ):

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





  def    snake_case_       (  self   ,SCREAMING_SNAKE_CASE_   ,SCREAMING_SNAKE_CASE_ = "rb"   ,**SCREAMING_SNAKE_CASE_   ,):

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





  def    snake_case_       (  self   ,SCREAMING_SNAKE_CASE_   ,**SCREAMING_SNAKE_CASE_    ):

      '''simple docstring'''
      self._get_dirs()
      snake_case							:		List[Any]        =		self._strip_protocol(SCREAMING_SNAKE_CASE_    )
      if path in self.dir_cache:
          return self.dir_cache[path]
      else:
          raise FileNotFoundError(SCREAMING_SNAKE_CASE_    )





  def    snake_case_       (  self   ,SCREAMING_SNAKE_CASE_   ,SCREAMING_SNAKE_CASE_=False   ,**SCREAMING_SNAKE_CASE_    ):

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










# Copyright 2023 The HuggingFace Inc. team. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
#     http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
from ..models.auto import AutoModelForSeqaSeqLM, AutoTokenizer
from .base import PipelineTool

class   lowerCAmelCase				(   __UpperCamelCase     ):
 UpperCAmelCase__						=						"""philschmid/bart-large-cnn-samsum"""
 UpperCAmelCase__						=						(
     """This is a tool that summarizes an English text. It takes an input `text` containing the text to summarize, """
     """and returns a summary of the text."""
 )
 UpperCAmelCase__						=						"""summarizer"""
 UpperCAmelCase__						=						AutoTokenizer
 UpperCAmelCase__						=						AutoModelForSeqaSeqLM

 UpperCAmelCase__						=						["""text"""]
 UpperCAmelCase__						=						["""text"""]
 def 	A_      ( self    : Tuple     ,	UpperCAmelCase    : List[Any]      )     ->      List[str]:
     return self.pre_processor(UpperCAmelCase     ,	return_tensors='pt'     ,	truncation=UpperCAmelCase      )
 def 	A_      ( self    : Optional[int]     ,	UpperCAmelCase    : Dict      )     ->      str:
     return self.model.generate(**UpperCAmelCase      )[0]







 def 	A_      ( self    : Tuple     ,	UpperCAmelCase    : List[Any]      )     ->      Union[str, Any]:
     return self.pre_processor.decode(UpperCAmelCase     ,	skip_special_tokens=UpperCAmelCase     ,	clean_up_tokenization_spaces=UpperCAmelCase      )





