





"""simple docstring"""


def 					lowercase__    (					lowercase_			)					->		Union[str, Any]:




						"""simple docstring"""

						_UpperCamelCase      :	str						=       0
						_UpperCamelCase      :	List[str]						=       len(lowercase_			)

						for i in range(n - 1			):
												for j in range(i + 1		,lowercase_			):
																		if arr[i] > arr[j]:
																								num_inversions += 1

						return num_inversions




def 					lowercase__    (					lowercase_			)					->		Union[str, Any]:




						"""simple docstring"""

						if len(lowercase_			) <= 1:
												return arr, 0
						_UpperCamelCase      :	Union[str, Any]						=       len(lowercase_			) // 2
						_UpperCamelCase      :	Union[str, Any]						=       arr[0:mid]
						_UpperCamelCase      :	Optional[int]						=       arr[mid:]

						_UpperCamelCase      :	Dict						=       count_inversions_recursive(lowercase_			)
						_UpperCamelCase      :	Optional[int]						=       count_inversions_recursive(lowercase_			)
						_UpperCamelCase      :	str						=       _count_cross_inversions(lowercase_		,lowercase_			)

						_UpperCamelCase      :	Union[str, Any]						=       inversion_p + inversions_q + cross_inversions
						return c, num_inversions




def 					lowercase__    (					lowercase_		,lowercase_			)					->		Dict:




						"""simple docstring"""

						_UpperCamelCase      :	Tuple						=       []
						_UpperCamelCase      :	str						=       0
						while i < len(lowercase_			) and j < len(lowercase_			):
												if p[i] > q[j]:
																		# if P[1] > Q[j], then P[k] > Q[k] for all  i < k <= len(P)
																		# These are all inversions. The claim emerges from the
																		# property that P is sorted.
																		num_inversion += len(lowercase_			) - i
																		r.append(q[j]			)
																		j += 1
												else:
																		r.append(p[i]			)
																		i += 1

						if i < len(lowercase_			):
												r.extend(p[i:]			)
						else:
												r.extend(q[j:]			)

						return r, num_inversion




def 					lowercase__    (					)					->		Optional[int]:




						"""simple docstring"""

						_UpperCamelCase      :	Tuple						=       [10, 2, 1, 5, 5, 2, 11]

						# this arr has 8 inversions:
						# (10, 2), (10, 1), (10, 5), (10, 5), (10, 2), (2, 1), (5, 2), (5, 2)

						_UpperCamelCase      :	Tuple						=       count_inversions_bf(lowercase_			)
						_UpperCamelCase      :	Dict						=       count_inversions_recursive(lowercase_			)

						assert num_inversions_bf == num_inversions_recursive == 8

						print("number of inversions = "		,lowercase_			)

						# testing an array with zero inversion (a sorted arr_1)

						arr_a.sort()
						_UpperCamelCase      :	Union[str, Any]						=       count_inversions_bf(lowercase_			)
						_UpperCamelCase      :	Tuple						=       count_inversions_recursive(lowercase_			)

						assert num_inversions_bf == num_inversions_recursive == 0
						print("number of inversions = "		,lowercase_			)

						# an empty list should also have zero inversions
						_UpperCamelCase      :	str						=       []
						_UpperCamelCase      :	Dict						=       count_inversions_bf(lowercase_			)
						_UpperCamelCase      :	List[Any]						=       count_inversions_recursive(lowercase_			)

						assert num_inversions_bf == num_inversions_recursive == 0
						print("number of inversions = "		,lowercase_			)


if __name__ == "__main__":
		main()







"""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    (						_UpperCamelCase   ):







  '''simple docstring'''


  SCREAMING_SNAKE_CASE__							:Tuple	     =					"yolos"

  def __init__(		self   :       Dict					,   __a   :       Optional[Any]=768					,   __a   :       List[Any]=12					,   __a   :       Any=12					,   __a   :       List[Any]=3072					,   __a   :       Optional[int]="gelu"					,   __a   :       Dict=0.0					,   __a   :       Optional[Any]=0.0					,   __a   :       Any=0.02					,   __a   :       Optional[int]=1e-1_2					,   __a   :       List[Any]=[512, 864]					,   __a   :       List[str]=16					,   __a   :       str=3					,   __a   :       Optional[Any]=True					,   __a   :       Optional[Any]=100					,   __a   :       List[str]=True					,   __a   :       Any=False					,   __a   :       List[str]=1					,   __a   :       str=5					,   __a   :       Optional[Any]=2					,   __a   :       Tuple=5					,   __a   :       Any=2					,   __a   :       Union[str, Any]=0.1					,   **__a   :       List[str]					,   )		->				List[str]:
        super().__init__(**__a	)

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





class      __SCREAMING_SNAKE_CASE    (						_UpperCamelCase   ):







  '''simple docstring'''


  SCREAMING_SNAKE_CASE__							:List[str]	     =					version.parse("1.11"   )

  @property
  def    __SCREAMING_SNAKE_CASE				(		self   :       str	)		->				Mapping[str, Mapping[int, str]]:
        return OrderedDict(
            [
                ("pixel_values", {0: "batch", 1: "num_channels", 2: "height", 3: "width"}),
            ]	)

  @property
  def    __SCREAMING_SNAKE_CASE				(		self   :       Optional[Any]	)		->				float:
        return 1e-4


  @property
  def    __SCREAMING_SNAKE_CASE				(		self   :       Dict	)		->				int:
        return 12
