
'''simple docstring'''



import copy

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


UpperCamelCase__      :		Optional[Any]       							=  logging.get_logger(__name__)

UpperCamelCase__      :		List[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    _a				(_lowerCamelCase):





       """simple docstring"""




       SCREAMING_SNAKE_CASE      =  'dpt'






       def __init__(							self       ,							A__=7_68       ,							A__=12       ,							A__=12       ,							A__=30_72       ,							A__="gelu"       ,							A__=0.0       ,							A__=0.0       ,							A__=0.02       ,							A__=1E-12       ,							A__=3_84       ,							A__=16       ,							A__=3       ,							A__=False       ,							A__=True       ,							A__=[2, 5, 8, 11]       ,							A__="project"       ,							A__=[4, 2, 1, 0.5]       ,							A__=[96, 1_92, 3_84, 7_68]       ,							A__=2_56       ,							A__=-1       ,							A__=False       ,							A__=True       ,							A__=0.4       ,							A__=2_55       ,							A__=0.1       ,							A__=[1, 10_24, 24, 24]       ,							A__=[0, 1]       ,							A__=None       ,							**A__       ,							)    ->			str:
          super().__init__(**A__      )

          _SCREAMING_SNAKE_CASE      =				hidden_size
          _SCREAMING_SNAKE_CASE      =				is_hybrid

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

             _SCREAMING_SNAKE_CASE      =				backbone_featmap_shape
             _SCREAMING_SNAKE_CASE      =				neck_ignore_stages

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

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






       def        UpperCamelCase				(							self      )    ->			List[str]:
          _SCREAMING_SNAKE_CASE      =				copy.deepcopy(self.__dict__      )

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

          _SCREAMING_SNAKE_CASE      =				self.__class__.model_type
          return output








'''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				(_lowerCamelCase):





       """simple docstring"""




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






       def __init__(							self       ,							A__ = None       ,							A__ = None       ,							**A__       ,							)    ->			Optional[int]:
          super().__init__(self       ,							**A__      )
          _SCREAMING_SNAKE_CASE      =				repo_info
          _SCREAMING_SNAKE_CASE      =				token
          _SCREAMING_SNAKE_CASE      =				None






       def        UpperCamelCase				(							self      )    ->			Tuple:
          if self.dir_cache is None:
             _SCREAMING_SNAKE_CASE      =				{}
             for hf_file in self.repo_info.siblings:
                # TODO(QL): add sizes
                _SCREAMING_SNAKE_CASE      =				{
                    """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        UpperCamelCase				(							self       ,							A__       ,							A__ = "rb"       ,							**A__       ,							)    ->			Optional[int]:
          if not isinstance(self.repo_info       ,							A__      ):
             raise NotImplementedError(F"Open is only implemented for dataset repositories, but got {self.repo_info}"      )
          _SCREAMING_SNAKE_CASE      =				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        UpperCamelCase				(							self       ,							A__       ,							**A__      )    ->			str:
          self._get_dirs()
          _SCREAMING_SNAKE_CASE      =				self._strip_protocol(A__      )
          if path in self.dir_cache:
             return self.dir_cache[path]
          else:
             raise FileNotFoundError(A__      )






       def        UpperCamelCase				(							self       ,							A__       ,							A__=False       ,							**A__      )    ->			List[Any]:
          self._get_dirs()
          _SCREAMING_SNAKE_CASE      =				PurePosixPath(path.strip("""/"""      )      )
          _SCREAMING_SNAKE_CASE      =				{}
          for p, f in self.dir_cache.items():
             _SCREAMING_SNAKE_CASE      =				PurePosixPath(p.strip("""/"""      )      )
             _SCREAMING_SNAKE_CASE      =				p.parent
             if root == path:
                _SCREAMING_SNAKE_CASE      =				f
          _SCREAMING_SNAKE_CASE      =				list(paths.values()      )
          if detail:
             return out
          else:
             return sorted(f["""name"""] for f in out      )






