
"""simple docstring"""





def 							A_     (__a				):

					'''simple docstring'''





					A_				 =						0
					A_				 =						len(__a				)

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

					return num_inversions
def 							A_     (__a				):

					'''simple docstring'''





					if len(__a				) <= 1:
										return arr, 0
					A_				 =						len(__a				) // 2
					A_				 =						arr[0:mid]
					A_				 =						arr[mid:]

					A_ ,    A_				 =						count_inversions_recursive(__a				)
					A_ ,    A_				 =						count_inversions_recursive(__a				)
					A_ ,    A_				 =						_count_cross_inversions(__a				,   __a				)

					A_				 =						inversion_p + inversions_q + cross_inversions
					return c, num_inversions
def 							A_     (__a				,   __a				):

					'''simple docstring'''





					A_				 =						[]
					A_				 =						A_				 =						A_				 =						0
					while i < len(__a				) and j < len(__a				):
										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(__a				) - i
															r.append(q[j]				)
															j += 1
										else:
															r.append(p[i]				)
															i += 1

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

					return r, num_inversion
def 							A_     ():

					'''simple docstring'''





					A_				 =						[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)

					A_				 =						count_inversions_bf(__a				)
					A_ ,    A_				 =						count_inversions_recursive(__a				)

					assert num_inversions_bf == num_inversions_recursive == 8

					print("number of inversions = "				,   __a				)

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

					arr_a.sort()
					A_				 =						count_inversions_bf(__a				)
					A_ ,    A_				 =						count_inversions_recursive(__a				)

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

					# an empty list should also have zero inversions
					A_				 =						[]
					A_				 =						count_inversions_bf(__a				)
					A_ ,    A_				 =						count_inversions_recursive(__a				)

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


if __name__ == "__main__":
		main()






"""simple docstring"""





from ...configuration_utils import PretrainedConfig
from ...utils import logging


UpperCamelCase_					:						Tuple				= logging.get_logger(__name__)

UpperCamelCase_					:						Optional[int]				= {
    '''microsoft/markuplm-base''': '''https://huggingface.co/microsoft/markuplm-base/resolve/main/config.json''',
    '''microsoft/markuplm-large''': '''https://huggingface.co/microsoft/markuplm-large/resolve/main/config.json''',
}



class __lowerCAmelCase				(					_lowercase      ):




			"""simple docstring"""







			snake_case	      =				"markuplm"




			def __init__(				self						:					Optional[Any]       ,   _snake_case						:					Dict=30_522       ,   _snake_case						:					str=768       ,   _snake_case						:					Tuple=12       ,   _snake_case						:					Union[str, Any]=12       ,   _snake_case						:					Union[str, Any]=3_072       ,   _snake_case						:					List[str]="gelu"       ,   _snake_case						:					List[str]=0.1       ,   _snake_case						:					Optional[Any]=0.1       ,   _snake_case						:					Dict=512       ,   _snake_case						:					Union[str, Any]=2       ,   _snake_case						:					Tuple=0.0_2       ,   _snake_case						:					Tuple=1e-12       ,   _snake_case						:					Tuple=0       ,   _snake_case						:					Tuple=0       ,   _snake_case						:					Optional[Any]=2       ,   _snake_case						:					int=256       ,   _snake_case						:					Dict=1_024       ,   _snake_case						:					List[str]=216       ,   _snake_case						:					Optional[int]=1_001       ,   _snake_case						:					Union[str, Any]=32       ,   _snake_case						:					List[str]=50       ,   _snake_case						:					str="absolute"       ,   _snake_case						:					Optional[Any]=True       ,   _snake_case						:					str=None       ,   **_snake_case						:					Optional[Any]       ,   )      -> Optional[Any]:







								"""simple docstring"""
								super().__init__(
								    pad_token_id=_snake_case       ,   bos_token_id=_snake_case       ,   eos_token_id=_snake_case       ,   **_snake_case       ,   )
								A_				 =						vocab_size
								A_				 =						hidden_size
								A_				 =						num_hidden_layers
								A_				 =						num_attention_heads
								A_				 =						hidden_act
								A_				 =						intermediate_size
								A_				 =						hidden_dropout_prob
								A_				 =						attention_probs_dropout_prob
								A_				 =						max_position_embeddings
								A_				 =						type_vocab_size
								A_				 =						initializer_range
								A_				 =						layer_norm_eps
								A_				 =						position_embedding_type
								A_				 =						use_cache
								A_				 =						classifier_dropout
								# additional properties
								A_				 =						max_depth
								A_				 =						max_xpath_tag_unit_embeddings
								A_				 =						max_xpath_subs_unit_embeddings
								A_				 =						tag_pad_id
								A_				 =						subs_pad_id
								A_				 =						xpath_unit_hidden_size




