






import copy

from ...configuration_utils import PretrainedConfig
from ...utils import logging
from ..bit import BitConfig


SCREAMING_SNAKE_CASE__   :      str				=		logging.get_logger(__name__)

SCREAMING_SNAKE_CASE__   :      str				=		{
    """Intel/dpt-large""": """https://huggingface.co/Intel/dpt-large/resolve/main/config.json""",
    # See all DPT models at https://huggingface.co/models?filter=dpt
}
class     lowerCamelCase_					(   lowerCamelCase			):
				a__       							=	'''dpt'''







				def __init__(    self							,       __lowerCAmelCase=7_6_8							,       __lowerCAmelCase=1_2							,       __lowerCAmelCase=1_2							,       __lowerCAmelCase=3_0_7_2							,       __lowerCAmelCase="gelu"							,       __lowerCAmelCase=0.0							,       __lowerCAmelCase=0.0							,       __lowerCAmelCase=0.02							,       __lowerCAmelCase=1E-12							,       __lowerCAmelCase=3_8_4							,       __lowerCAmelCase=1_6							,       __lowerCAmelCase=3							,       __lowerCAmelCase=False							,       __lowerCAmelCase=True							,       __lowerCAmelCase=[2, 5, 8, 1_1]							,       __lowerCAmelCase="project"							,       __lowerCAmelCase=[4, 2, 1, 0.5]							,       __lowerCAmelCase=[9_6, 1_9_2, 3_8_4, 7_6_8]							,       __lowerCAmelCase=2_5_6							,       __lowerCAmelCase=-1							,       __lowerCAmelCase=False							,       __lowerCAmelCase=True							,       __lowerCAmelCase=0.4							,       __lowerCAmelCase=2_5_5							,       __lowerCAmelCase=0.1							,       __lowerCAmelCase=[1, 1_0_2_4, 2_4, 2_4]							,       __lowerCAmelCase=[0, 1]							,       __lowerCAmelCase=None							,       **__lowerCAmelCase							,       ):
								"""simple docstring"""
								super().__init__(**__lowerCAmelCase  )

								__magic_name__		:str   =   hidden_size
								__magic_name__		:Union[str, Any]   =   is_hybrid

								if self.is_hybrid:
												if backbone_config is None:
																logger.info('''Initializing the config with a `BiT` backbone.'''  )
																__magic_name__		:Tuple   =   {
																    '''global_padding''': '''same''',
																    '''layer_type''': '''bottleneck''',
																    '''depths''': [3, 4, 9],
																    '''out_features''': ['''stage1''', '''stage2''', '''stage3'''],
																    '''embedding_dynamic_padding''': True,
																}
																__magic_name__		:List[Any]   =   BitConfig(**__lowerCAmelCase  )
												elif isinstance(__lowerCAmelCase							,       __lowerCAmelCase  ):
																logger.info('''Initializing the config with a `BiT` backbone.'''  )
																__magic_name__		:Tuple   =   BitConfig(**__lowerCAmelCase  )
												elif isinstance(__lowerCAmelCase							,       __lowerCAmelCase  ):
																__magic_name__		:Dict   =   backbone_config
												else:
																raise ValueError(
																    F'''backbone_config must be a dictionary or a `PretrainedConfig`, got {backbone_config.__class__}.'''  )

												__magic_name__		:Any   =   backbone_featmap_shape
												__magic_name__		:Any   =   neck_ignore_stages

												if readout_type != "project":
																raise ValueError('''Readout type must be \'project\' when using `DPT-hybrid` mode.'''  )
								else:
												__magic_name__		:Dict   =   None
												__magic_name__		:Dict   =   None
												__magic_name__		:List[Any]   =   []

								__magic_name__		:int   =   num_hidden_layers
								__magic_name__		:Union[str, Any]   =   num_attention_heads
								__magic_name__		:Tuple   =   intermediate_size
								__magic_name__		:List[Any]   =   hidden_act
								__magic_name__		:int   =   hidden_dropout_prob
								__magic_name__		:Dict   =   attention_probs_dropout_prob
								__magic_name__		:int   =   initializer_range
								__magic_name__		:Tuple   =   layer_norm_eps
								__magic_name__		:List[Any]   =   image_size
								__magic_name__		:str   =   patch_size
								__magic_name__		:str   =   num_channels
								__magic_name__		:Union[str, Any]   =   qkv_bias
								__magic_name__		:Any   =   backbone_out_indices
								if readout_type not in ["ignore", "add", "project"]:
												raise ValueError('''Readout_type must be one of [\'ignore\', \'add\', \'project\']'''  )
								__magic_name__		:Tuple   =   readout_type
								__magic_name__		:List[Any]   =   reassemble_factors
								__magic_name__		:Any   =   neck_hidden_sizes
								__magic_name__		:int   =   fusion_hidden_size
								__magic_name__		:str   =   head_in_index
								__magic_name__		:Any   =   use_batch_norm_in_fusion_residual
								# auxiliary head attributes (semantic segmentation)
								__magic_name__		:Dict   =   use_auxiliary_head
								__magic_name__		:Dict   =   auxiliary_loss_weight
								__magic_name__		:Optional[int]   =   semantic_loss_ignore_index
								__magic_name__		:Any   =   semantic_classifier_dropout







				def       A						(    self  ):
								"""simple docstring"""
								__magic_name__		:List[str]   =   copy.deepcopy(self.__dict__  )

								if output["backbone_config"] is not None:
												__magic_name__		:List[str]   =   self.backbone_config.to_dict()

								__magic_name__		:Optional[Any]   =   self.__class__.model_type
								return output














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_					(   lowerCamelCase			):
				a__       							=	''''''
				a__       							=	'''hf-legacy'''  # "hf://"" is reserved for hffs







				def __init__(    self							,       __lowerCAmelCase = None							,       __lowerCAmelCase = None							,       **__lowerCAmelCase							,       ):
								"""simple docstring"""
								super().__init__(self							,       **__lowerCAmelCase  )
								__magic_name__		:List[Any]   =   repo_info
								__magic_name__		:Dict   =   token
								__magic_name__		:Optional[Any]   =   None







				def       A						(    self  ):
								"""simple docstring"""
								if self.dir_cache is None:
												__magic_name__		:Any   =   {}
												for hf_file in self.repo_info.siblings:
																# TODO(QL): add sizes
																__magic_name__		:Optional[int]   =   {
																    '''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							,       ):
								"""simple docstring"""
								if not isinstance(self.repo_info							,       __lowerCAmelCase  ):
												raise NotImplementedError(F'''Open is only implemented for dataset repositories, but got {self.repo_info}'''  )
								__magic_name__		:Union[str, Any]   =   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  ):
								"""simple docstring"""
								self._get_dirs()
								__magic_name__		:str   =   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  ):
								"""simple docstring"""
								self._get_dirs()
								__magic_name__		:Union[str, Any]   =   PurePosixPath(path.strip('''/'''  )  )
								__magic_name__		:Dict   =   {}
								for p, f in self.dir_cache.items():
												__magic_name__		:int   =   PurePosixPath(p.strip('''/'''  )  )
												__magic_name__		:Tuple   =   p.parent
												if root == path:
																__magic_name__		:Optional[Any]   =   f
								__magic_name__		:List[Any]   =   list(paths.values()  )
								if detail:
												return out
								else:
												return sorted(f['''name'''] for f in out  )






