"""simple docstring"""


import copy

from ...configuration_utils import PretrainedConfig
from ...utils import logging
from ..auto import CONFIG_MAPPING


UpperCAmelCase__  		=						logging.get_logger(__name__)

UpperCAmelCase__  		=						{
    """ut/deta""": """https://huggingface.co/ut/deta/resolve/main/config.json""",
}


class        a				(		lowerCAmelCase_   ):
    _snake_case     :  List[str]     							=							'deta'
    _snake_case     :  int     							=							{
        'hidden_size': 'd_model',
        'num_attention_heads': 'encoder_attention_heads',
    }


    def __init__(					self	:  List[str]   ,				__lowerCAmelCase	:  Tuple=None   ,				__lowerCAmelCase	:  List[Any]=900   ,				__lowerCAmelCase	:  Tuple=2048   ,				__lowerCAmelCase	:  Dict=6   ,				__lowerCAmelCase	:  Any=2048   ,				__lowerCAmelCase	:  Optional[Any]=8   ,				__lowerCAmelCase	:  Tuple=6   ,				__lowerCAmelCase	:  Any=1024   ,				__lowerCAmelCase	:  Optional[Any]=8   ,				__lowerCAmelCase	:  List[str]=0.0   ,				__lowerCAmelCase	:  Dict=True   ,				__lowerCAmelCase	:  Any="relu"   ,				__lowerCAmelCase	:  Dict=256   ,				__lowerCAmelCase	:  Tuple=0.1   ,				__lowerCAmelCase	:  int=0.0   ,				__lowerCAmelCase	:  Union[str, Any]=0.0   ,				__lowerCAmelCase	:  Optional[int]=0.02   ,				__lowerCAmelCase	:  List[str]=1.0   ,				__lowerCAmelCase	:  Dict=True   ,				__lowerCAmelCase	:  Union[str, Any]=False   ,				__lowerCAmelCase	:  str="sine"   ,				__lowerCAmelCase	:  List[Any]=5   ,				__lowerCAmelCase	:  List[Any]=4   ,				__lowerCAmelCase	:  List[str]=4   ,				__lowerCAmelCase	:  int=True   ,				__lowerCAmelCase	:  Optional[Any]=300   ,				__lowerCAmelCase	:  Any=True   ,				__lowerCAmelCase	:  List[Any]=True   ,				__lowerCAmelCase	:  Optional[int]=1   ,				__lowerCAmelCase	:  Optional[int]=5   ,				__lowerCAmelCase	:  str=2   ,				__lowerCAmelCase	:  Any=1   ,				__lowerCAmelCase	:  str=1   ,				__lowerCAmelCase	:  Tuple=5   ,				__lowerCAmelCase	:  Dict=2   ,				__lowerCAmelCase	:  Any=0.1   ,				__lowerCAmelCase	:  Dict=0.25   ,				**__lowerCAmelCase	:  List[Any]   ,				):
      if backbone_config is None:
        logger.info("""`backbone_config` is `None`. Initializing the config with the default `ResNet` backbone."""					)
        _UpperCAmelCase						 =      CONFIG_MAPPING["""resnet"""](out_features=["""stage2""", """stage3""", """stage4"""]					)
      else:
        if isinstance(__lowerCAmelCase   ,				__lowerCAmelCase					):
          _UpperCAmelCase						 =      backbone_config.pop("""model_type"""					)
          _UpperCAmelCase						 =      CONFIG_MAPPING[backbone_model_type]
          _UpperCAmelCase						 =      config_class.from_dict(__lowerCAmelCase					)

      _UpperCAmelCase						 =      backbone_config
      _UpperCAmelCase						 =      num_queries
      _UpperCAmelCase						 =      max_position_embeddings
      _UpperCAmelCase						 =      d_model
      _UpperCAmelCase						 =      encoder_ffn_dim
      _UpperCAmelCase						 =      encoder_layers
      _UpperCAmelCase						 =      encoder_attention_heads
      _UpperCAmelCase						 =      decoder_ffn_dim
      _UpperCAmelCase						 =      decoder_layers
      _UpperCAmelCase						 =      decoder_attention_heads
      _UpperCAmelCase						 =      dropout
      _UpperCAmelCase						 =      attention_dropout
      _UpperCAmelCase						 =      activation_dropout
      _UpperCAmelCase						 =      activation_function
      _UpperCAmelCase						 =      init_std
      _UpperCAmelCase						 =      init_xavier_std
      _UpperCAmelCase						 =      encoder_layerdrop
      _UpperCAmelCase						 =      auxiliary_loss
      _UpperCAmelCase						 =      position_embedding_type
      # deformable attributes
      _UpperCAmelCase						 =      num_feature_levels
      _UpperCAmelCase						 =      encoder_n_points
      _UpperCAmelCase						 =      decoder_n_points
      _UpperCAmelCase						 =      two_stage
      _UpperCAmelCase						 =      two_stage_num_proposals
      _UpperCAmelCase						 =      with_box_refine
      _UpperCAmelCase						 =      assign_first_stage
      if two_stage is True and with_box_refine is False:
        raise ValueError("""If two_stage is True, with_box_refine must be True."""					)
      # Hungarian matcher
      _UpperCAmelCase						 =      class_cost
      _UpperCAmelCase						 =      bbox_cost
      _UpperCAmelCase						 =      giou_cost
      # Loss coefficients
      _UpperCAmelCase						 =      mask_loss_coefficient
      _UpperCAmelCase						 =      dice_loss_coefficient
      _UpperCAmelCase						 =      bbox_loss_coefficient
      _UpperCAmelCase						 =      giou_loss_coefficient
      _UpperCAmelCase						 =      eos_coefficient
      _UpperCAmelCase						 =      focal_alpha
      super().__init__(is_encoder_decoder=__lowerCAmelCase   ,				**__lowerCAmelCase					)


    @property
    def      lowerCAmelCase_  (					self	:  List[Any]					):
      return self.encoder_attention_heads


    @property
    def      lowerCAmelCase_  (					self	:  str					):
      return self.d_model


    def      lowerCAmelCase_  (					self	:  Any					):
      _UpperCAmelCase						 =      copy.deepcopy(self.__dict__					)
      _UpperCAmelCase						 =      self.backbone_config.to_dict()
      _UpperCAmelCase						 =      self.__class__.model_type
      return output

"""simple docstring"""


# Lint as: python3
import itertools
import os
import re


UpperCAmelCase__  		=						re.compile(r"""([A-Z]+)([A-Z][a-z])""")
UpperCAmelCase__  		=						re.compile(r"""([a-z\d])([A-Z])""")

UpperCAmelCase__  		=						re.compile(r"""(?<!_)_(?!_)""")
UpperCAmelCase__  		=						re.compile(r"""(_{2,})""")

UpperCAmelCase__  		=						r"""^\w+(\.\w+)*$"""

UpperCAmelCase__  		=						r"""<>:/\|?*"""






def     __UpperCAmelCase					(			lowercase		):







  """simple docstring"""
  _UpperCAmelCase						 =      _uppercase_uppercase_re.sub(R"""\1_\2"""   ,lowercase		)
  _UpperCAmelCase						 =      _lowercase_uppercase_re.sub(R"""\1_\2"""   ,lowercase		)
  return name.lower()






def     __UpperCAmelCase					(			lowercase		):







  """simple docstring"""
  _UpperCAmelCase						 =      _single_underscore_re.split(lowercase		)
  _UpperCAmelCase						 =      [_multiple_underscores_re.split(lowercase		) for n in name]
  return "".join(n.capitalize() for n in itertools.chain.from_iterable(lowercase		) if n != """"""		)






def     __UpperCAmelCase					(			lowercase		):







  """simple docstring"""
  if os.path.basename(lowercase		) != name:
    raise ValueError(f'''Should be a dataset name, not a path: {name}'''		)
  return camelcase_to_snakecase(lowercase		)






def     __UpperCAmelCase					(			lowercase   ,lowercase		):







  """simple docstring"""
  if os.path.basename(lowercase		) != name:
    raise ValueError(f'''Should be a dataset name, not a path: {name}'''		)
  if not re.match(_split_re   ,lowercase		):
    raise ValueError(f'''Split name should match \'{_split_re}\'\' but got \'{split}\'.'''		)
  return f'''{filename_prefix_for_name(lowercase		)}-{split}'''






def     __UpperCAmelCase					(			lowercase   ,lowercase   ,lowercase   ,lowercase=None		):







  """simple docstring"""
  _UpperCAmelCase						 =      filename_prefix_for_split(lowercase   ,lowercase		)
  if filetype_suffix:
    prefix += f'''.{filetype_suffix}'''
  _UpperCAmelCase						 =      os.path.join(lowercase   ,lowercase		)
  return f'''{filepath}*'''






def     __UpperCAmelCase					(			lowercase   ,lowercase   ,lowercase   ,lowercase=None   ,lowercase=None		):







  """simple docstring"""
  _UpperCAmelCase						 =      filename_prefix_for_split(lowercase   ,lowercase		)
  _UpperCAmelCase						 =      os.path.join(lowercase   ,lowercase		)

  if shard_lengths:
    _UpperCAmelCase						 =      len(lowercase		)
    _UpperCAmelCase						 =      [f'''{prefix}-{shard_id:05d}-of-{num_shards:05d}''' for shard_id in range(lowercase		)]
    if filetype_suffix:
      _UpperCAmelCase						 =      [filename + f'''.{filetype_suffix}''' for filename in filenames]
    return filenames
  else:
    _UpperCAmelCase						 =      prefix
    if filetype_suffix:
      filename += f'''.{filetype_suffix}'''
    return [filename]
