






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_	(		__snake_case			):
				_UpperCamelCase					:       Union[str, Any]							       = ""
				_UpperCamelCase					:       List[str]							       = "hf-legacy"  # "hf://"" is reserved for hffs


				def __init__(					self ,						_lowerCAmelCase = None ,						_lowerCAmelCase = None ,						**_lowerCAmelCase ,						):
											super().__init__(self ,						**_lowerCAmelCase      )
											_lowercase							:   Union[str, Any] 							=   repo_info
											_lowercase							:   Tuple 							=   token
											_lowercase							:   Optional[Any] 							=   None


				def 						__a					(					self      ):
											if self.dir_cache is None:
																		_lowercase							:   Dict 							=   {}
																		for hf_file in self.repo_info.siblings:
																									# TODO(QL): add sizes
																									_lowercase							:   str 							=   {
																									    '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 						__a					(					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}"""      )
											_lowercase							:   Tuple 							=   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 						__a					(					self ,						_lowerCAmelCase ,						**_lowerCAmelCase      ):
											self._get_dirs()
											_lowercase							:   Union[str, Any] 							=   self._strip_protocol(_lowerCAmelCase      )
											if path in self.dir_cache:
																		return self.dir_cache[path]
											else:
																		raise FileNotFoundError(_lowerCAmelCase      )


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







"""simple docstring"""
from typing import TYPE_CHECKING

from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_torch_available


_A							=  {"""configuration_sew""": ["""SEW_PRETRAINED_CONFIG_ARCHIVE_MAP""", """SEWConfig"""]}

try:
    if not is_torch_available():
        raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
    pass
else:
    _A							=  [
        """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

    _A							=  _LazyModule(__name__, globals()["""__file__"""], _import_structure, module_spec=__spec__)

