





"""simple docstring"""




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


UpperCamelCase_	 =logging.get_logger(__name__)

UpperCamelCase_	 ={
    """google/reformer-crime-and-punishment""": (
        """https://huggingface.co/google/reformer-crime-and-punishment/resolve/main/config.json"""
    ),
    """google/reformer-enwik8""": """https://huggingface.co/google/reformer-enwik8/resolve/main/config.json""",
}




class 					_a		( _lowerCAmelCase							):
				UpperCamelCase								=       '''reformer'''
				UpperCamelCase								=       ['''past_buckets_states''']
				UpperCamelCase								=       {}






				def __init__(					self						:       Optional[Any],					lowerCAmelCase__						:       str=6_4,					lowerCAmelCase__						:       Union[str, Any]=["local", "lsh", "local", "lsh", "local", "lsh"],					lowerCAmelCase__						:       Optional[int]=1.0,					lowerCAmelCase__						:       Union[str, Any]=True,					lowerCAmelCase__						:       int=[6_4, 6_4],					lowerCAmelCase__						:       List[Any]=[6_4, 1_9_2],					lowerCAmelCase__						:       str=0,					lowerCAmelCase__						:       List[Any]=2,					lowerCAmelCase__						:       Dict=5_1_2,					lowerCAmelCase__						:       List[Any]=None,					lowerCAmelCase__						:       int="relu",					lowerCAmelCase__						:       Optional[Any]=0.05,					lowerCAmelCase__						:       Union[str, Any]=2_5_6,					lowerCAmelCase__						:       Tuple=0.02,					lowerCAmelCase__						:       str=False,					lowerCAmelCase__						:       Any=1e-1_2,					lowerCAmelCase__						:       Tuple=1,					lowerCAmelCase__						:       str=0,					lowerCAmelCase__						:       List[str]=0.05,					lowerCAmelCase__						:       Optional[int]=6_4,					lowerCAmelCase__						:       Union[str, Any]=6_4,					lowerCAmelCase__						:       List[Any]=0.0,					lowerCAmelCase__						:       Optional[Any]=1,					lowerCAmelCase__						:       str=0,					lowerCAmelCase__						:       Optional[int]=4_0_9_6,					lowerCAmelCase__						:       int=1_2,					lowerCAmelCase__						:       Optional[int]=None,					lowerCAmelCase__						:       Tuple=1,					lowerCAmelCase__						:       str=0,					lowerCAmelCase__						:       int=3_2_0,					lowerCAmelCase__						:       List[str]=False,					lowerCAmelCase__						:       Optional[int]=True,					lowerCAmelCase__						:       List[Any]=None,					**lowerCAmelCase__						:       Any,					)      -> Optional[Any]:




										'''simple docstring'''



										_UpperCamelCase     :   Union[str, Any]      =       hash_seed
										_UpperCamelCase     :   Optional[Any]      =       vocab_size
										_UpperCamelCase     :   int      =       attention_head_size
										_UpperCamelCase     :   str      =       hidden_size
										_UpperCamelCase     :   int      =       num_attention_heads
										_UpperCamelCase     :   int      =       num_hashes
										_UpperCamelCase     :   Dict      =       len(lowerCAmelCase__				)
										_UpperCamelCase     :   Dict      =       tuple(lowerCAmelCase__				) if isinstance(lowerCAmelCase__,					lowerCAmelCase__				) else num_buckets
										_UpperCamelCase     :   Optional[Any]      =       lsh_attn_chunk_length
										_UpperCamelCase     :   Any      =       local_attn_chunk_length
										_UpperCamelCase     :   Any      =       lsh_num_chunks_after
										_UpperCamelCase     :   int      =       lsh_num_chunks_before
										_UpperCamelCase     :   Union[str, Any]      =       local_num_chunks_after
										_UpperCamelCase     :   Tuple      =       local_num_chunks_before
										_UpperCamelCase     :   Dict      =       hidden_act
										_UpperCamelCase     :   Optional[Any]      =       feed_forward_size
										_UpperCamelCase     :   Optional[Any]      =       hidden_dropout_prob
										_UpperCamelCase     :   str      =       lsh_attention_probs_dropout_prob
										_UpperCamelCase     :   Tuple      =       local_attention_probs_dropout_prob
										_UpperCamelCase     :   Optional[int]      =       max_position_embeddings
										_UpperCamelCase     :   Any      =       initializer_range
										_UpperCamelCase     :   str      =       layer_norm_eps
										_UpperCamelCase     :   Union[str, Any]      =       axial_pos_embds
										_UpperCamelCase     :   Optional[Any]      =       tuple(lowerCAmelCase__				)
										_UpperCamelCase     :   str      =       tuple(lowerCAmelCase__				)
										_UpperCamelCase     :   Dict      =       axial_norm_std
										_UpperCamelCase     :   Optional[int]      =       chunk_size_lm_head
										_UpperCamelCase     :   Dict      =       attn_layers
										_UpperCamelCase     :   int      =       use_cache
										_UpperCamelCase     :   List[Any]      =       classifier_dropout
										super().__init__(
										    pad_token_id=lowerCAmelCase__,					eos_token_id=lowerCAmelCase__,					is_decoder=lowerCAmelCase__,					tie_word_embeddings=lowerCAmelCase__,					**lowerCAmelCase__,					)








'''simple docstring'''







def  SCREAMING_SNAKE_CASE__ (				SCREAMING_SNAKE_CASE     ):
		for i, _ in enumerate(SCREAMING_SNAKE_CASE     ):
				if (i % 2 == 1) == (nums[i - 1] > nums[i]):
						SCREAMING_SNAKE_CASE_						,		SCREAMING_SNAKE_CASE_						:Dict										=      nums[i], nums[i - 1]

		return nums


if __name__ == "__main__":
							print("""Enter the array elements:""")
							SCREAMING_SNAKE_CASE__     : Tuple				=   list(map(int, input().split()))
							print("""The unsorted array is:""")
							print(array)
							print("""Array after Wiggle sort:""")
							print(wiggle_sort(array))
