






"""simple docstring"""
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


_lowerCAmelCase         =							logging.get_logger(__name__)

_lowerCAmelCase         =							{
    "hustvl/yolos-small": "https://huggingface.co/hustvl/yolos-small/resolve/main/config.json",
    # See all YOLOS models at https://huggingface.co/models?filter=yolos
}



class      SCREAMING_SNAKE_CASE  (				_SCREAMING_SNAKE_CASE						):





	"""simple docstring"""




	_A       :				Optional[int]    =				"""yolos"""





	def __init__(self     ,     lowerCAmelCase_=768     ,     lowerCAmelCase_=12     ,     lowerCAmelCase_=12     ,     lowerCAmelCase_=3072     ,     lowerCAmelCase_="gelu"     ,     lowerCAmelCase_=0.0     ,     lowerCAmelCase_=0.0     ,     lowerCAmelCase_=0.02     ,     lowerCAmelCase_=1e-1_2     ,     lowerCAmelCase_=[512, 864]     ,     lowerCAmelCase_=16     ,     lowerCAmelCase_=3     ,     lowerCAmelCase_=True     ,     lowerCAmelCase_=100     ,     lowerCAmelCase_=True     ,     lowerCAmelCase_=False     ,     lowerCAmelCase_=1     ,     lowerCAmelCase_=5     ,     lowerCAmelCase_=2     ,     lowerCAmelCase_=5     ,     lowerCAmelCase_=2     ,     lowerCAmelCase_=0.1     ,     **lowerCAmelCase_     ,     ):
		super().__init__(**lowerCAmelCase_							)

		A_		:						Union[str, Any]	    =   hidden_size
		A_		:						Dict	    =   num_hidden_layers
		A_		:						Tuple	    =   num_attention_heads
		A_		:						List[Any]	    =   intermediate_size
		A_		:						Tuple	    =   hidden_act
		A_		:						List[str]	    =   hidden_dropout_prob
		A_		:						Union[str, Any]	    =   attention_probs_dropout_prob
		A_		:						Optional[int]	    =   initializer_range
		A_		:						List[Any]	    =   layer_norm_eps
		A_		:						Tuple	    =   image_size
		A_		:						Optional[int]	    =   patch_size
		A_		:						Optional[int]	    =   num_channels
		A_		:						int	    =   qkv_bias
		A_		:						List[str]	    =   num_detection_tokens
		A_		:						Tuple	    =   use_mid_position_embeddings
		A_		:						List[str]	    =   auxiliary_loss
		# Hungarian matcher
		A_		:						Union[str, Any]	    =   class_cost
		A_		:						Optional[int]	    =   bbox_cost
		A_		:						Dict	    =   giou_cost
		# Loss coefficients
		A_		:						Any	    =   bbox_loss_coefficient
		A_		:						List[Any]	    =   giou_loss_coefficient
		A_		:						Optional[Any]	    =   eos_coefficient






class      SCREAMING_SNAKE_CASE  (				_SCREAMING_SNAKE_CASE						):





	"""simple docstring"""




	_A       :				Any    =				version.parse("""1.11"""						)





	@property
	def    lowerCamelCase(self							):
		return OrderedDict(
		    [
		        ("""pixel_values""", {0: """batch""", 1: """num_channels""", 2: """height""", 3: """width"""}),
		    ]							)





	@property
	def    lowerCamelCase(self							):
		return 1e-4





	@property
	def    lowerCamelCase(self							):
		return 12









"""simple docstring"""
def 			__UpperCamelCase	(		snake_case__   ,   snake_case__   ,   snake_case__					):
	return not any(
	    neighbour == 1 and colored_vertices[i] == color
	    for i, neighbour in enumerate(snake_case__					)					)






def 			__UpperCamelCase	(		snake_case__   ,   snake_case__   ,   snake_case__   ,   snake_case__					):

	# Base Case
	if index == len(snake_case__					):
		return True

	# Recursive Step
	for i in range(snake_case__					):
		if valid_coloring(graph[index]   ,   snake_case__   ,   snake_case__					):
			# Color current vertex
			A_		:						Dict	    =   i
			# Validate coloring
			if util_color(snake_case__   ,   snake_case__   ,   snake_case__   ,   index + 1					):
				return True
			# Backtrack
			A_		:						Union[str, Any]	    =   -1
	return False






def 			__UpperCamelCase	(		snake_case__   ,   snake_case__					):
	A_		:						int	    =   [-1] * len(snake_case__					)

	if util_color(snake_case__   ,   snake_case__   ,   snake_case__   ,   0					):
		return colored_vertices

	return []

