





"""simple docstring"""




from ...configuration_utils import PretrainedConfig
from ...utils import logging


a						: List[str]     	=			logging.get_logger(__name__)

a						: Dict     	=			{
    'vinvino02/glpn-kitti': 'https://huggingface.co/vinvino02/glpn-kitti/resolve/main/config.json',
    # See all GLPN models at https://huggingface.co/models?filter=glpn
}


class        __UpperCamelCase				(						SCREAMING_SNAKE_CASE_						):
							lowerCamelCase   :					str      					="glpn"






							def __init__(   self      ,					lowerCAmelCase__=3      ,					lowerCAmelCase__=4      ,					lowerCAmelCase__=[2, 2, 2, 2]      ,					lowerCAmelCase__=[8, 4, 2, 1]      ,					lowerCAmelCase__=[32, 64, 160, 256]      ,					lowerCAmelCase__=[7, 3, 3, 3]      ,					lowerCAmelCase__=[4, 2, 2, 2]      ,					lowerCAmelCase__=[1, 2, 5, 8]      ,					lowerCAmelCase__=[4, 4, 4, 4]      ,					lowerCAmelCase__="gelu"      ,					lowerCAmelCase__=0.0      ,					lowerCAmelCase__=0.0      ,					lowerCAmelCase__=0.02      ,					lowerCAmelCase__=0.1      ,					lowerCAmelCase__=1E-6      ,					lowerCAmelCase__=64      ,					lowerCAmelCase__=10      ,					lowerCAmelCase__=-1      ,					**lowerCAmelCase__      ,					)	-> List[str]:
								super().__init__(**a__      )

								a      :		int	=				num_channels
								a      :		str	=				num_encoder_blocks
								a      :		str	=				depths
								a      :		str	=				sr_ratios
								a      :		Optional[Any]	=				hidden_sizes
								a      :		Any	=				patch_sizes
								a      :		Any	=				strides
								a      :		str	=				mlp_ratios
								a      :		Optional[int]	=				num_attention_heads
								a      :		Any	=				hidden_act
								a      :		Optional[int]	=				hidden_dropout_prob
								a      :		Any	=				attention_probs_dropout_prob
								a      :		str	=				initializer_range
								a      :		Any	=				drop_path_rate
								a      :		Dict	=				layer_norm_eps
								a      :		int	=				decoder_hidden_size
								a      :		Optional[Any]	=				max_depth
								a      :		Any	=				head_in_index



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






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






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






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






     def     __A  (		self				,     a__				,     **a__  ):
       self._get_dirs()
       _lowerCAmelCase						:       Union[str, Any]  			=     self._strip_protocol(a__  )
       if path in self.dir_cache:
         return self.dir_cache[path]
       else:
         raise FileNotFoundError(a__  )






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




