



'''simple docstring'''



import copy
from collections import OrderedDict
from typing import Dict, Mapping

from packaging import version

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


lowerCamelCase	 =       logging.get_logger(__name__)

lowerCamelCase	 =       {
    """facebook/detr-resnet-50""": """https://huggingface.co/facebook/detr-resnet-50/resolve/main/config.json""",
    # See all DETR models at https://huggingface.co/models?filter=detr
}





class _UpperCamelCase		(     A		):





				'''simple docstring'''





				lowerCAmelCase__					    =    """detr"""
				lowerCAmelCase__					    =    ["""past_key_values"""]
				lowerCAmelCase__					    =    {
				    """hidden_size""": """d_model""",
				    """num_attention_heads""": """encoder_attention_heads""",
				}

				def __init__(							self  :  Any  ,       _lowerCAmelCase  :  List[Any]=True  ,       _lowerCAmelCase  :  Optional[Any]=None  ,       _lowerCAmelCase  :  Any=3  ,       _lowerCAmelCase  :  List[Any]=1_0_0  ,       _lowerCAmelCase  :  List[Any]=6  ,       _lowerCAmelCase  :  int=2_0_4_8  ,       _lowerCAmelCase  :  Tuple=8  ,       _lowerCAmelCase  :  List[Any]=6  ,       _lowerCAmelCase  :  List[Any]=2_0_4_8  ,       _lowerCAmelCase  :  List[Any]=8  ,       _lowerCAmelCase  :  Dict=0.0  ,       _lowerCAmelCase  :  Tuple=0.0  ,       _lowerCAmelCase  :  Tuple=True  ,       _lowerCAmelCase  :  Union[str, Any]="relu"  ,       _lowerCAmelCase  :  Union[str, Any]=2_5_6  ,       _lowerCAmelCase  :  Union[str, Any]=0.1  ,       _lowerCAmelCase  :  Tuple=0.0  ,       _lowerCAmelCase  :  Tuple=0.0  ,       _lowerCAmelCase  :  List[str]=0.02  ,       _lowerCAmelCase  :  Any=1.0  ,       _lowerCAmelCase  :  Optional[int]=False  ,       _lowerCAmelCase  :  Union[str, Any]="sine"  ,       _lowerCAmelCase  :  Optional[int]="resnet50"  ,       _lowerCAmelCase  :  Dict=True  ,       _lowerCAmelCase  :  Optional[Any]=False  ,       _lowerCAmelCase  :  Union[str, Any]=1  ,       _lowerCAmelCase  :  Any=5  ,       _lowerCAmelCase  :  int=2  ,       _lowerCAmelCase  :  List[Any]=1  ,       _lowerCAmelCase  :  Union[str, Any]=1  ,       _lowerCAmelCase  :  List[str]=5  ,       _lowerCAmelCase  :  Optional[Any]=2  ,       _lowerCAmelCase  :  Union[str, Any]=0.1  ,       **_lowerCAmelCase  :  Optional[int]  ,       ):







											'''simple docstring'''

											if backbone_config is not None and use_timm_backbone:
																		raise ValueError('You can\'t specify both `backbone_config` and `use_timm_backbone`.')

											if not use_timm_backbone:
																		if backbone_config is None:
																									logger.info('`backbone_config` is `None`. Initializing the config with the default `ResNet` backbone.')
																									__lowercase       	=CONFIG_MAPPING['resnet'](out_features=['stage4'])
																		elif isinstance(lowercase_  ,       lowercase_):
																									__lowercase       	=backbone_config.get('model_type')
																									__lowercase       	=CONFIG_MAPPING[backbone_model_type]
																									__lowercase       	=config_class.from_dict(lowercase_)
																		# set timm attributes to None
																		__lowercase	,				__lowercase	,				__lowercase       	=None, None, None

											__lowercase       	=use_timm_backbone
											__lowercase       	=backbone_config
											__lowercase       	=num_channels
											__lowercase       	=num_queries
											__lowercase       	=d_model
											__lowercase       	=encoder_ffn_dim
											__lowercase       	=encoder_layers
											__lowercase       	=encoder_attention_heads
											__lowercase       	=decoder_ffn_dim
											__lowercase       	=decoder_layers
											__lowercase       	=decoder_attention_heads
											__lowercase       	=dropout
											__lowercase       	=attention_dropout
											__lowercase       	=activation_dropout
											__lowercase       	=activation_function
											__lowercase       	=init_std
											__lowercase       	=init_xavier_std
											__lowercase       	=encoder_layerdrop
											__lowercase       	=decoder_layerdrop
											__lowercase       	=encoder_layers
											__lowercase       	=auxiliary_loss
											__lowercase       	=position_embedding_type
											__lowercase       	=backbone
											__lowercase       	=use_pretrained_backbone
											__lowercase       	=dilation
											# Hungarian matcher
											__lowercase       	=class_cost
											__lowercase       	=bbox_cost
											__lowercase       	=giou_cost
											# Loss coefficients
											__lowercase       	=mask_loss_coefficient
											__lowercase       	=dice_loss_coefficient
											__lowercase       	=bbox_loss_coefficient
											__lowercase       	=giou_loss_coefficient
											__lowercase       	=eos_coefficient
											super().__init__(is_encoder_decoder=lowercase_  ,       **lowercase_)

				@property
				def 				__lowerCamelCase     (							self  :  Union[str, Any]):







											'''simple docstring'''

											return self.encoder_attention_heads

				@property
				def 				__lowerCamelCase     (							self  :  Optional[Any]):







											'''simple docstring'''

											return self.d_model

				@classmethod
				def 				__lowerCamelCase     (							cls  :  List[Any]  ,       _lowerCAmelCase  :  PretrainedConfig  ,       **_lowerCAmelCase  :  int):







											'''simple docstring'''

											return cls(backbone_config=lowercase_  ,       **lowercase_)

				def 				__lowerCamelCase     (							self  :  List[str]):







											'''simple docstring'''

											__lowercase       	=copy.deepcopy(self.__dict__)
											if output["backbone_config"] is not None:
																		__lowercase       	=self.backbone_config.to_dict()
											__lowercase       	=self.__class__.model_type
											return output





class _UpperCamelCase		(     A		):





				'''simple docstring'''





				lowerCAmelCase__					    =    version.parse("""1.11"""		)

				@property
				def 				__lowerCamelCase     (							self  :  int):







											'''simple docstring'''

											return OrderedDict(
											    [
											        ('pixel_values', {0: 'batch', 1: 'num_channels', 2: 'height', 3: 'width'}),
											        ('pixel_mask', {0: 'batch'}),
											    ])

				@property
				def 				__lowerCamelCase     (							self  :  List[str]):







											'''simple docstring'''

											return 1e-5

				@property
				def 				__lowerCamelCase     (							self  :  str):







											'''simple docstring'''

											return 1_2








'''simple docstring'''



from functools import lru_cache



def   _A       (   _lowerCAmelCase					):



							"""simple docstring"""



							__lowercase       	=2
							__lowercase       	=set()
							while i * i <= n:
														if n % i:
																					i += 1
														else:
																					n //= i
																					factors.add(_lowerCAmelCase					)
							if n > 1:
														factors.add(_lowerCAmelCase					)
							return factors



@lru_cache
def   _A       (   _lowerCAmelCase					):



							"""simple docstring"""



							return len(unique_prime_factors(_lowerCAmelCase					)					)



def   _A       (   _lowerCAmelCase					):



							"""simple docstring"""



							return len(set(_lowerCAmelCase					)					) in (0, 1)



def   _A       (   _lowerCAmelCase					):



							"""simple docstring"""



							__lowercase       	=2

							while True:
														# Increment each value of a generated range
														__lowercase       	=[base + i for i in range(_lowerCAmelCase					)]

														# Run elements through out unique_prime_factors function
														# Append our target number to the end.
														__lowercase       	=[upf_len(_lowerCAmelCase					) for x in group]
														checker.append(_lowerCAmelCase					)

														# If all numbers in the list are equal, return the group variable.
														if equality(_lowerCAmelCase					):
																					return group

														# Increment our base variable by 1
														base += 1



def   _A       (   _lowerCAmelCase = 4					):



							"""simple docstring"""



							__lowercase       	=run(_lowerCAmelCase					)
							return results[0] if len(_lowerCAmelCase					) else None


if __name__ == "__main__":
		print(solution())



