"""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 SCREAMING_SNAKE_CASE  (     _snake_case						):







 """simple docstring"""


 a_							:						Any	      =''
 a_							:						int	      ='hf-legacy'  # "hf://"" is reserved for hffs


 def __init__( self		:   Any       , _snake_case		:   Optional[DatasetInfo] = None       , _snake_case		:   Optional[str] = None       , **_snake_case		:   Dict       , )					->      int:




    '''simple docstring'''






    super().__init__(self       , **_snake_case					)
    a__  					=		repo_info
    a__  					=		token
    a__  					=		None


 def 							_lowerCAmelCase					( self		:   Optional[int]					)					->      Optional[int]:




    '''simple docstring'''






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


 def 							_lowerCAmelCase					( self		:   List[Any]       , _snake_case		:   str       , _snake_case		:   str = "rb"       , **_snake_case		:   Optional[Any]       , )					->      Any:




    '''simple docstring'''






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


 def 							_lowerCAmelCase					( self		:   Tuple       , _snake_case		:   Any       , **_snake_case		:   Optional[Any]					)					->      str:




    '''simple docstring'''






    self._get_dirs()
    a__  					=		self._strip_protocol(_snake_case					)
    if path in self.dir_cache:
       return self.dir_cache[path]
    else:
       raise FileNotFoundError(_snake_case					)



 def 							_lowerCAmelCase					( self		:   str       , _snake_case		:   Any       , _snake_case		:   str=False       , **_snake_case		:   Any					)					->      Optional[Any]:




    '''simple docstring'''






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









'''simple docstring'''

from typing import TYPE_CHECKING

# rely on isort to merge the imports
from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_torch_available


a   	=    {
    "configuration_informer": [
        "INFORMER_PRETRAINED_CONFIG_ARCHIVE_MAP",
        "InformerConfig",
    ],
}

try:
    if not is_torch_available():
        raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
    pass
else:
    a   	=    [
        "INFORMER_PRETRAINED_MODEL_ARCHIVE_LIST",
        "InformerForPrediction",
        "InformerModel",
        "InformerPreTrainedModel",
    ]


if TYPE_CHECKING:
    from .configuration_informer import INFORMER_PRETRAINED_CONFIG_ARCHIVE_MAP, InformerConfig

    try:
        if not is_torch_available():
            raise OptionalDependencyNotAvailable()
    except OptionalDependencyNotAvailable:
        pass
    else:
        from .modeling_informer import (
            INFORMER_PRETRAINED_MODEL_ARCHIVE_LIST,
            InformerForPrediction,
            InformerModel,
            InformerPreTrainedModel,
        )

else:
    import sys

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





