
"""simple docstring"""



from typing import TYPE_CHECKING

from ...utils import (
    OptionalDependencyNotAvailable,
    _LazyModule,
    is_flax_available,
    is_sentencepiece_available,
    is_tf_available,
    is_tokenizers_available,
    is_torch_available,
)


a					:	Tuple							=		{'configuration_xglm': ['XGLM_PRETRAINED_CONFIG_ARCHIVE_MAP', 'XGLMConfig']}

try:
 if not is_sentencepiece_available():
  raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
 pass
else:
 a					:	List[str]							=		['XGLMTokenizer']

try:
 if not is_tokenizers_available():
  raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
 pass
else:
 a					:	str							=		['XGLMTokenizerFast']

try:
 if not is_torch_available():
  raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
 pass
else:
 a					:	Dict							=		[
     'XGLM_PRETRAINED_MODEL_ARCHIVE_LIST',
     'XGLMForCausalLM',
     'XGLMModel',
     'XGLMPreTrainedModel',
 ]


try:
 if not is_flax_available():
  raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
 pass
else:
 a					:	int							=		[
     'FlaxXGLMForCausalLM',
     'FlaxXGLMModel',
     'FlaxXGLMPreTrainedModel',
 ]


try:
 if not is_tf_available():
  raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
 pass
else:
 a					:	Any							=		[
     'TF_XGLM_PRETRAINED_MODEL_ARCHIVE_LIST',
     'TFXGLMForCausalLM',
     'TFXGLMModel',
     'TFXGLMPreTrainedModel',
 ]


if TYPE_CHECKING:
 from .configuration_xglm import XGLM_PRETRAINED_CONFIG_ARCHIVE_MAP, XGLMConfig

 try:
  if not is_sentencepiece_available():
   raise OptionalDependencyNotAvailable()
 except OptionalDependencyNotAvailable:
  pass
 else:
  from .tokenization_xglm import XGLMTokenizer

 try:
  if not is_tokenizers_available():
   raise OptionalDependencyNotAvailable()
 except OptionalDependencyNotAvailable:
  pass
 else:
  from .tokenization_xglm_fast import XGLMTokenizerFast

 try:
  if not is_torch_available():
   raise OptionalDependencyNotAvailable()
 except OptionalDependencyNotAvailable:
  pass
 else:
  from .modeling_xglm import XGLM_PRETRAINED_MODEL_ARCHIVE_LIST, XGLMForCausalLM, XGLMModel, XGLMPreTrainedModel

 try:
  if not is_flax_available():
   raise OptionalDependencyNotAvailable()
 except OptionalDependencyNotAvailable:
  pass
 else:
  from .modeling_flax_xglm import FlaxXGLMForCausalLM, FlaxXGLMModel, FlaxXGLMPreTrainedModel

 try:
  if not is_tf_available():
   raise OptionalDependencyNotAvailable()
 except OptionalDependencyNotAvailable:
  pass
 else:
  from .modeling_tf_xglm import (
      TF_XGLM_PRETRAINED_MODEL_ARCHIVE_LIST,
      TFXGLMForCausalLM,
      TFXGLMModel,
      TFXGLMPreTrainedModel,
  )


else:
 import sys

 a					:	str							=		_LazyModule(__name__, globals()['''__file__'''], _import_structure)

"""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 		a_						( _UpperCAmelCase	):
    a      :				List[Any]     =				''
    a      :				Union[str, Any]     =				'hf-legacy'  # "hf://"" is reserved for hffs







    def __init__(			self			:       Tuple     ,					__UpperCamelCase			:       Optional[DatasetInfo] = None     ,					__UpperCamelCase			:       Optional[str] = None     ,					**__UpperCamelCase			:       Any     ,					)		->Any:






        '''simple docstring'''






        super().__init__(self     ,					**__UpperCamelCase     )
        _UpperCAmelCase          =   repo_info
        _UpperCAmelCase          =   token
        _UpperCAmelCase          =   None







    def      _snake_case					(			self			:       List[str]     )		->List[str]:






        '''simple docstring'''






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







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






        '''simple docstring'''






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







    def      _snake_case					(			self			:       int     ,					__UpperCamelCase			:       int     ,					**__UpperCamelCase			:       Dict     )		->Tuple:






        '''simple docstring'''






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







    def      _snake_case					(			self			:       List[str]     ,					__UpperCamelCase			:       Union[str, Any]     ,					__UpperCamelCase			:       Tuple=False     ,					**__UpperCamelCase			:       List[str]     )		->Optional[Any]:






        '''simple docstring'''






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