






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		):
     __lowerCamelCase      				=  ''
     __lowerCamelCase      				=  'hf-legacy'  # "hf://"" is reserved for hffs




     def __init__(				self	,						_lowerCAmelCase = None	,						_lowerCAmelCase = None	,						**_lowerCAmelCase	,						):
          super().__init__(self	,						**_lowerCAmelCase		)
          UpperCAmelCase__      :  Optional[int]				      =			repo_info
          UpperCAmelCase__      :  Optional[int]				      =			token
          UpperCAmelCase__      :  Any				      =			None




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




     def   __UpperCAmelCase  (				self	,						_lowerCAmelCase	,						_lowerCAmelCase = "rb"	,						**_lowerCAmelCase	,						):
          if not isinstance(self.repo_info	,						_lowerCAmelCase		):
               raise NotImplementedError(f"Open is only implemented for dataset repositories, but got {self.repo_info}"		)
          UpperCAmelCase__      :  Optional[int]				      =			hf_hub_url(self.repo_info.id	,						_lowerCAmelCase	,						revision=self.repo_info.sha		)
          return fsspec.open(
              _lowerCAmelCase	,						mode=_lowerCAmelCase	,						headers=get_authentication_headers_for_url(_lowerCAmelCase	,						use_auth_token=self.token		)	,						client_kwargs={"""trust_env""": True}	,						).open()




     def   __UpperCAmelCase  (				self	,						_lowerCAmelCase	,						**_lowerCAmelCase		):
          self._get_dirs()
          UpperCAmelCase__      :  int				      =			self._strip_protocol(_lowerCAmelCase		)
          if path in self.dir_cache:
               return self.dir_cache[path]
          else:
               raise FileNotFoundError(_lowerCAmelCase		)




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










from typing import TYPE_CHECKING

from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_torch_available


SCREAMING_SNAKE_CASE__					:     Optional[Any]       =     {'configuration_sew': ['SEW_PRETRAINED_CONFIG_ARCHIVE_MAP', 'SEWConfig']}

try:
 if not is_torch_available():
  raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
 pass
else:
 SCREAMING_SNAKE_CASE__					:     List[str]       =     [
     'SEW_PRETRAINED_MODEL_ARCHIVE_LIST',
     'SEWForCTC',
     'SEWForSequenceClassification',
     'SEWModel',
     'SEWPreTrainedModel',
 ]

if TYPE_CHECKING:
 from .configuration_sew import SEW_PRETRAINED_CONFIG_ARCHIVE_MAP, SEWConfig

 try:
  if not is_torch_available():
   raise OptionalDependencyNotAvailable()
 except OptionalDependencyNotAvailable:
  pass
 else:
  from .modeling_sew import (
      SEW_PRETRAINED_MODEL_ARCHIVE_LIST,
      SEWForCTC,
      SEWForSequenceClassification,
      SEWModel,
      SEWPreTrainedModel,
  )


else:
 import sys

 SCREAMING_SNAKE_CASE__					:     Tuple       =     _LazyModule(__name__, globals()['__file__'], _import_structure, module_spec=__spec__)





