
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"""







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






     def __init__(							self						,						__SCREAMING_SNAKE_CASE = None						,						__SCREAMING_SNAKE_CASE = None						,						**__SCREAMING_SNAKE_CASE						,						)  ->   Any:




           """simple docstring"""







           super().__init__(self						,						**__SCREAMING_SNAKE_CASE  )
           UpperCamelCase__    :   List[str]					=				repo_info
           UpperCamelCase__    :   Union[str, Any]					=				token
           UpperCamelCase__    :   Any					=				None






     def    __SCREAMING_SNAKE_CASE			(							self  )  ->   int:




           """simple docstring"""







           if self.dir_cache is None:
                 UpperCamelCase__    :   Optional[int]					=				{}
                 for hf_file in self.repo_info.siblings:
                       # TODO(QL): add sizes
                       UpperCamelCase__    :   Dict					=				{
                           '''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    __SCREAMING_SNAKE_CASE			(							self						,						__SCREAMING_SNAKE_CASE						,						__SCREAMING_SNAKE_CASE = "rb"						,						**__SCREAMING_SNAKE_CASE						,						)  ->   Tuple:




           """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}'''  )
           UpperCamelCase__    :   List[str]					=				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    __SCREAMING_SNAKE_CASE			(							self						,						__SCREAMING_SNAKE_CASE						,						**__SCREAMING_SNAKE_CASE  )  ->   Optional[Any]:




           """simple docstring"""







           self._get_dirs()
           UpperCamelCase__    :   List[str]					=				self._strip_protocol(__SCREAMING_SNAKE_CASE  )
           if path in self.dir_cache:
                 return self.dir_cache[path]
           else:
                 raise FileNotFoundError(__SCREAMING_SNAKE_CASE  )






     def    __SCREAMING_SNAKE_CASE			(							self						,						__SCREAMING_SNAKE_CASE						,						__SCREAMING_SNAKE_CASE=False						,						**__SCREAMING_SNAKE_CASE  )  ->   List[str]:




           """simple docstring"""







           self._get_dirs()
           UpperCamelCase__    :   List[str]					=				PurePosixPath(path.strip('''/'''  )  )
           UpperCamelCase__    :   Any					=				{}
           for p, f in self.dir_cache.items():
                 UpperCamelCase__    :   Any					=				PurePosixPath(p.strip('''/'''  )  )
                 UpperCamelCase__    :   List[Any]					=				p.parent
                 if root == path:
                       UpperCamelCase__    :   str					=				f
           UpperCamelCase__    :   Optional[int]					=				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_flax_available,
    is_tf_available,
    is_tokenizers_available,
    is_torch_available,
)


lowerCamelCase      ={
    "configuration_blenderbot": [
        "BLENDERBOT_PRETRAINED_CONFIG_ARCHIVE_MAP",
        "BlenderbotConfig",
        "BlenderbotOnnxConfig",
    ],
    "tokenization_blenderbot": ["BlenderbotTokenizer"],
}

try:
    if not is_tokenizers_available():
        raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
    pass
else:
    lowerCamelCase      =["BlenderbotTokenizerFast"]

try:
    if not is_torch_available():
        raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
    pass
else:
    lowerCamelCase      =[
        "BLENDERBOT_PRETRAINED_MODEL_ARCHIVE_LIST",
        "BlenderbotForCausalLM",
        "BlenderbotForConditionalGeneration",
        "BlenderbotModel",
        "BlenderbotPreTrainedModel",
    ]


try:
    if not is_tf_available():
        raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
    pass
else:
    lowerCamelCase      =[
        "TFBlenderbotForConditionalGeneration",
        "TFBlenderbotModel",
        "TFBlenderbotPreTrainedModel",
    ]


try:
    if not is_flax_available():
        raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
    pass
else:
    lowerCamelCase      =[
        "FlaxBlenderbotForConditionalGeneration",
        "FlaxBlenderbotModel",
        "FlaxBlenderbotPreTrainedModel",
    ]


if TYPE_CHECKING:
    from .configuration_blenderbot import (
        BLENDERBOT_PRETRAINED_CONFIG_ARCHIVE_MAP,
        BlenderbotConfig,
        BlenderbotOnnxConfig,
    )
    from .tokenization_blenderbot import BlenderbotTokenizer

    try:
        if not is_tokenizers_available():
            raise OptionalDependencyNotAvailable()
    except OptionalDependencyNotAvailable:
        pass
    else:
        from .tokenization_blenderbot_fast import BlenderbotTokenizerFast

    try:
        if not is_torch_available():
            raise OptionalDependencyNotAvailable()
    except OptionalDependencyNotAvailable:
        pass
    else:
        from .modeling_blenderbot import (
            BLENDERBOT_PRETRAINED_MODEL_ARCHIVE_LIST,
            BlenderbotForCausalLM,
            BlenderbotForConditionalGeneration,
            BlenderbotModel,
            BlenderbotPreTrainedModel,
        )

    try:
        if not is_tf_available():
            raise OptionalDependencyNotAvailable()
    except OptionalDependencyNotAvailable:
        pass
    else:
        from .modeling_tf_blenderbot import (
            TFBlenderbotForConditionalGeneration,
            TFBlenderbotModel,
            TFBlenderbotPreTrainedModel,
        )

    try:
        if not is_flax_available():
            raise OptionalDependencyNotAvailable()
    except OptionalDependencyNotAvailable:
        pass
    else:
        from .modeling_flax_blenderbot import (
            FlaxBlenderbotForConditionalGeneration,
            FlaxBlenderbotModel,
            FlaxBlenderbotPreTrainedModel,
        )

else:
    import sys

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


