
"""simple docstring"""


import copy
from collections import OrderedDict
from typing import Mapping

from packaging import version

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


SCREAMING_SNAKE_CASE      =     logging.get_logger(__name__)

SCREAMING_SNAKE_CASE      =     {
    """microsoft/conditional-detr-resnet-50""": (
        """https://huggingface.co/microsoft/conditional-detr-resnet-50/resolve/main/config.json"""
    ),
}



class   __a  (      _lowerCAmelCase	):
       UpperCamelCase_		:					List[Any]   =			'''conditional_detr'''
       UpperCamelCase_		:					str   =			['''past_key_values''']
       UpperCamelCase_		:					List[str]   =			{
           '''hidden_size''': '''d_model''',
           '''num_attention_heads''': '''encoder_attention_heads''',
       }






       def __init__(  self :							int       ,      UpperCAmelCase_ :							List[str]=True       ,      UpperCAmelCase_ :							Union[str, Any]=None       ,      UpperCAmelCase_ :							str=3       ,      UpperCAmelCase_ :							int=300       ,      UpperCAmelCase_ :							Dict=6       ,      UpperCAmelCase_ :							Union[str, Any]=2_048       ,      UpperCAmelCase_ :							Optional[Any]=8       ,      UpperCAmelCase_ :							List[Any]=6       ,      UpperCAmelCase_ :							List[str]=2_048       ,      UpperCAmelCase_ :							str=8       ,      UpperCAmelCase_ :							Dict=0.0       ,      UpperCAmelCase_ :							List[str]=0.0       ,      UpperCAmelCase_ :							Dict=True       ,      UpperCAmelCase_ :							int="relu"       ,      UpperCAmelCase_ :							Dict=256       ,      UpperCAmelCase_ :							Dict=0.1       ,      UpperCAmelCase_ :							Tuple=0.0       ,      UpperCAmelCase_ :							Optional[int]=0.0       ,      UpperCAmelCase_ :							Any=0.02       ,      UpperCAmelCase_ :							int=1.0       ,      UpperCAmelCase_ :							Tuple=False       ,      UpperCAmelCase_ :							int="sine"       ,      UpperCAmelCase_ :							Optional[int]="resnet50"       ,      UpperCAmelCase_ :							Any=True       ,      UpperCAmelCase_ :							str=False       ,      UpperCAmelCase_ :							Optional[Any]=2       ,      UpperCAmelCase_ :							Optional[int]=5       ,      UpperCAmelCase_ :							List[str]=2       ,      UpperCAmelCase_ :							Union[str, Any]=1       ,      UpperCAmelCase_ :							Any=1       ,      UpperCAmelCase_ :							Any=2       ,      UpperCAmelCase_ :							int=5       ,      UpperCAmelCase_ :							Union[str, Any]=2       ,      UpperCAmelCase_ :							List[Any]=0.25       ,      **UpperCAmelCase_ :							int       ,      )->  str:







              """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."			)
                            UpperCamelCase					 =		CONFIG_MAPPING["resnet"](out_features=["stage4"]			)
                     elif isinstance(UpperCAmelCase_       ,      UpperCAmelCase_			):
                            UpperCamelCase					 =		backbone_config.get("model_type"			)
                            UpperCamelCase					 =		CONFIG_MAPPING[backbone_model_type]
                            UpperCamelCase					 =		config_class.from_dict(UpperCAmelCase_			)

              UpperCamelCase					 =		use_timm_backbone
              UpperCamelCase					 =		backbone_config
              UpperCamelCase					 =		num_channels
              UpperCamelCase					 =		num_queries
              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					 =		decoder_layerdrop
              UpperCamelCase					 =		encoder_layers
              UpperCamelCase					 =		auxiliary_loss
              UpperCamelCase					 =		position_embedding_type
              UpperCamelCase					 =		backbone
              UpperCamelCase					 =		use_pretrained_backbone
              UpperCamelCase					 =		dilation
              # Hungarian matcher
              UpperCamelCase					 =		class_cost
              UpperCamelCase					 =		bbox_cost
              UpperCamelCase					 =		giou_cost
              # Loss coefficients
              UpperCamelCase					 =		mask_loss_coefficient
              UpperCamelCase					 =		dice_loss_coefficient
              UpperCamelCase					 =		cls_loss_coefficient
              UpperCamelCase					 =		bbox_loss_coefficient
              UpperCamelCase					 =		giou_loss_coefficient
              UpperCamelCase					 =		focal_alpha
              super().__init__(is_encoder_decoder=UpperCAmelCase_       ,      **UpperCAmelCase_			)






       @property
       def 	_SCREAMING_SNAKE_CASE       (  self :							List[Any]			)->  int:







              """simple docstring"""
              return self.encoder_attention_heads






       @property
       def 	_SCREAMING_SNAKE_CASE       (  self :							Any			)->  int:







              """simple docstring"""
              return self.d_model






       def 	_SCREAMING_SNAKE_CASE       (  self :							Optional[Any]			)->  Any:







              """simple docstring"""
              UpperCamelCase					 =		copy.deepcopy(self.__dict__			)
              if self.backbone_config is not None:
                     UpperCamelCase					 =		self.backbone_config.to_dict()
              UpperCamelCase					 =		self.__class__.model_type
              return output





class   __a  (      _lowerCAmelCase	):
       UpperCamelCase_		:					Tuple   =			version.parse('''1.11'''	)






       @property
       def 	_SCREAMING_SNAKE_CASE       (  self :							List[Any]			)->  Mapping[str, Mapping[int, str]]:







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






       @property
       def 	_SCREAMING_SNAKE_CASE       (  self :							List[str]			)->  float:







              """simple docstring"""
              return 1e-5






       @property
       def 	_SCREAMING_SNAKE_CASE       (  self :							Optional[int]			)->  int:







              """simple docstring"""
              return 12







"""simple docstring"""


def 	lowerCamelCase__			(							UpperCAmelCase_		,      UpperCAmelCase_ = False				)->							bool:







       """simple docstring"""
       if n == 2:
              return True
       if not n % 2 or n < 2:
              return False
       if n > 5 and n % 10 not in (1, 3, 7, 9):  # can quickly check last digit
              return False
       if n > 3_31_70_44_06_46_79_88_73_85_96_19_81 and not allow_probable:
              raise ValueError(
                  "Warning: upper bound of deterministic test is exceeded. "
                  "Pass allow_probable=True to allow probabilistic test. "
                  "A return value of True indicates a probable prime."				)
       # array bounds provided by analysis
       UpperCamelCase					 =		[
           20_47,
           1_37_36_53,
           25_32_60_01,
           32_15_03_17_51,
           2_15_23_02_89_87_47,
           3_47_47_49_66_03_83,
           3_41_55_00_71_72_83_21,
           1,
           3_82_51_23_05_65_46_41_30_51,
           1,
           1,
           31_86_65_85_78_34_03_11_51_16_74_61,
           3_31_70_44_06_46_79_88_73_85_96_19_81,
       ]

       UpperCamelCase					 =		[2, 3, 5, 7, 11, 13, 17, 19, 23, 29, 31, 37, 41]
       for idx, _p in enumerate(UpperCAmelCase_		,      1				):
              if n < _p:
                     # then we have our last prime to check
                     UpperCamelCase					 =		primes[:idx]
                     break
       UpperCamelCase ,       UpperCamelCase					 =		n - 1, 0
       # break up n -1 into a power of 2 (s) and
       # remaining odd component
       # essentially, solve for d * 2 ** s == n - 1
       while d % 2 == 0:
              d //= 2
              s += 1
       for prime in plist:
              UpperCamelCase					 =		False
              for r in range(UpperCAmelCase_				):
                     UpperCamelCase					 =		pow(UpperCAmelCase_		,      d * 2**r		,      UpperCAmelCase_				)
                     # see article for analysis explanation for m
                     if (r == 0 and m == 1) or ((m + 1) % n == 0):
                            UpperCamelCase					 =		True
                            # this loop will not determine compositeness
                            break
              if pr:
                     continue
              # if pr is False, then the above loop never evaluated to true,
              # and the n MUST be composite
              return False
       return True



def 	lowerCamelCase__			(							)->							None:







       """simple docstring"""
       assert not miller_rabin(5_61				)
       assert miller_rabin(5_63				)
       # 2047

       assert not miller_rabin(83_82_01				)
       assert miller_rabin(83_82_07				)
       # 1_373_653

       assert not miller_rabin(17_31_60_01				)
       assert miller_rabin(17_31_60_17				)
       # 25_326_001

       assert not miller_rabin(30_78_38_66_41				)
       assert miller_rabin(30_78_38_66_53				)
       # 3_215_031_751

       assert not miller_rabin(1_71_30_45_57_48_01				)
       assert miller_rabin(1_71_30_45_57_48_19				)
       # 2_152_302_898_747

       assert not miller_rabin(2_77_97_99_72_83_07				)
       assert miller_rabin(2_77_97_99_72_83_27				)
       # 3_474_749_660_383

       assert not miller_rabin(1_13_85_00_23_90_94_41				)
       assert miller_rabin(1_13_85_00_23_90_95_27				)
       # 341_550_071_728_321

       assert not miller_rabin(1_27_50_41_01_88_48_80_43_51				)
       assert miller_rabin(1_27_50_41_01_88_48_80_43_91				)
       # 3_825_123_056_546_413_051

       assert not miller_rabin(7_96_66_46_44_58_50_77_87_79_18_67				)
       assert miller_rabin(7_96_66_46_44_58_50_77_87_79_19_51				)
       # 318_665_857_834_031_151_167_461

       assert not miller_rabin(55_28_40_67_74_46_64_78_97_66_03_33				)
       assert miller_rabin(55_28_40_67_74_46_64_78_97_66_03_59				)
       # 3_317_044_064_679_887_385_961_981
       # upper limit for probabilistic test


if __name__ == "__main__":
      test_miller_rabin()





