


'''simple docstring'''







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


snake_case_     :       Dict						=  logging.get_logger(__name__)

snake_case_     :       int						=  {
    "google/switch-base-8": "https://huggingface.co/google/switch-base-8/blob/main/config.json",
}


class 					__a      (_UpperCAmelCase     ):
							__a					:   str									=       '''switch_transformers'''
							__a					:   Any									=       ['''past_key_values''']
							__a					:   Optional[int]									=       {'''hidden_size''': '''d_model''', '''num_attention_heads''': '''num_heads''', '''num_hidden_layers''': '''num_layers'''}

							def __init__(							self							:     Optional[int]       ,     __magic_name__							:     List[str]=3_21_28       ,     __magic_name__							:     Tuple=7_68       ,     __magic_name__							:     List[str]=64       ,     __magic_name__							:     Optional[Any]=20_48       ,     __magic_name__							:     Dict=64       ,     __magic_name__							:     Optional[int]=12       ,     __magic_name__							:     int=3       ,     __magic_name__							:     Tuple=12       ,     __magic_name__							:     List[str]=3       ,     __magic_name__							:     List[str]=12       ,     __magic_name__							:     List[Any]=8       ,     __magic_name__							:     List[str]=False       ,     __magic_name__							:     Dict=0.0_1       ,     __magic_name__							:     Dict="float32"       ,     __magic_name__							:     int=False       ,     __magic_name__							:     Union[str, Any]=32       ,     __magic_name__							:     Optional[int]=1_28       ,     __magic_name__							:     Union[str, Any]=0.1       ,     __magic_name__							:     Any=1E-6       ,     __magic_name__							:     int=0.0_0_1       ,     __magic_name__							:     Union[str, Any]=0.0_0_1       ,     __magic_name__							:     Dict=1.0       ,     __magic_name__							:     List[str]="relu"       ,     __magic_name__							:     List[str]=True       ,     __magic_name__							:     Optional[Any]=False       ,     __magic_name__							:     Union[str, Any]=True       ,     __magic_name__							:     Dict=0       ,     __magic_name__							:     List[Any]=1       ,     **__magic_name__							:     Dict       ,     )					->       Tuple:







													"""simple docstring"""
													UpperCAmelCase_			:      Any     						=  vocab_size
													UpperCAmelCase_			:      List[Any]     						=  d_model
													UpperCAmelCase_			:      Optional[Any]     						=  d_kv
													UpperCAmelCase_			:      str     						=  d_ff

													UpperCAmelCase_			:      List[Any]     						=  num_sparse_encoder_layers

													UpperCAmelCase_			:      List[Any]     						=  num_layers
													UpperCAmelCase_			:      int     						=  (
													    num_decoder_layers if num_decoder_layers is not None else self.num_layers
													)  # default = symmetry
													UpperCAmelCase_			:      int     						=  num_sparse_decoder_layers

													# This tells us, each how many encoder layer we'll have to set a sparse layer.
													if self.num_sparse_encoder_layers > 0:
																			UpperCAmelCase_			:      Optional[int]     						=  self.num_layers // self.num_sparse_encoder_layers
													else:
																			UpperCAmelCase_			:      List[Any]     						=  self.num_layers  # HACK: this will create 0 sparse layers

													# This tells us, each how many encoder layer we'll have to set a sparse layer.
													if self.num_sparse_decoder_layers > 0:
																			UpperCAmelCase_			:      Optional[int]     						=  self.num_decoder_layers // self.num_sparse_decoder_layers
													else:
																			UpperCAmelCase_			:      Any     						=  self.num_decoder_layers  # HACK: this will create 0 sparse layers

													UpperCAmelCase_			:      Optional[int]     						=  num_heads
													UpperCAmelCase_			:      Optional[int]     						=  num_experts
													UpperCAmelCase_			:      Dict     						=  expert_capacity
													UpperCAmelCase_			:      Dict     						=  router_bias
													UpperCAmelCase_			:      Optional[int]     						=  router_jitter_noise
													if router_dtype not in ["float32", "float16", "bfloat16"]:
																			raise ValueError(F"""`router_dtype` must be one of 'float32', 'float16' or 'bfloat16', got {router_dtype}"""   )
													UpperCAmelCase_			:      List[str]     						=  router_dtype

													UpperCAmelCase_			:      List[str]     						=  router_ignore_padding_tokens
													UpperCAmelCase_			:      int     						=  relative_attention_num_buckets
													UpperCAmelCase_			:      str     						=  relative_attention_max_distance

													UpperCAmelCase_			:      Dict     						=  dropout_rate
													UpperCAmelCase_			:      Any     						=  layer_norm_epsilon
													UpperCAmelCase_			:      Union[str, Any]     						=  initializer_factor
													UpperCAmelCase_			:      List[str]     						=  feed_forward_proj
													UpperCAmelCase_			:      int     						=  use_cache
													UpperCAmelCase_			:      int     						=  add_router_probs

													UpperCAmelCase_			:      Optional[int]     						=  router_z_loss_coef
													UpperCAmelCase_			:      List[Any]     						=  router_aux_loss_coef

													UpperCAmelCase_			:      Optional[int]     						=  self.feed_forward_proj.split('''-'''   )
													UpperCAmelCase_			:      List[str]     						=  act_info[-1]
													UpperCAmelCase_			:      str     						=  act_info[0] == '''gated'''

													if len(A_   ) > 1 and act_info[0] != "gated" or len(A_   ) > 2:
																			raise ValueError(
																			    F"""`feed_forward_proj`: {feed_forward_proj} is not a valid activation function of the dense layer."""
																			    '''Please make sure `feed_forward_proj` is of the format `gated-{ACT_FN}` or `{ACT_FN}`, e.g. '''
																			    '''\'gated-gelu\' or \'relu\''''   )

													# for backwards compatibility
													if feed_forward_proj == "gated-gelu":
																			UpperCAmelCase_			:      Dict     						=  '''gelu_new'''

													super().__init__(
													    pad_token_id=A_       ,     eos_token_id=A_       ,     is_encoder_decoder=A_       ,     **A_       ,     )












'''simple docstring'''







class 					__a      :

							def __init__(							self							:     List[Any]       ,     __magic_name__							:     int   )					->       None:







													"""simple docstring"""
													UpperCAmelCase_			:      Optional[Any]     						=  size
													UpperCAmelCase_			:      Tuple     						=  [0] * size
													UpperCAmelCase_			:      Optional[Any]     						=  [0] * size

							@staticmethod
							def     UpperCAmelCase__	(							__magic_name__							:     int   )					->       int:







													"""simple docstring"""
													return index | (index + 1)

							@staticmethod
							def     UpperCAmelCase__	(							__magic_name__							:     int   )					->       int:







													"""simple docstring"""
													return (index & (index + 1)) - 1

							def     UpperCAmelCase__	(							self							:     Optional[int]       ,     __magic_name__							:     int       ,     __magic_name__							:     int   )					->       None:







													"""simple docstring"""
													UpperCAmelCase_			:      int     						=  value
													while index < self.size:
																			UpperCAmelCase_			:      str     						=  self.get_prev(__magic_name__   ) + 1
																			if current_left_border == index:
																									UpperCAmelCase_			:      List[str]     						=  value
																			else:
																									UpperCAmelCase_			:      Optional[int]     						=  max(__magic_name__       ,     __magic_name__       ,     __magic_name__   )
																			UpperCAmelCase_			:      Tuple     						=  self.get_next(__magic_name__   )



							def     UpperCAmelCase__	(							self							:     Any       ,     __magic_name__							:     int       ,     __magic_name__							:     int   )					->       int:







													"""simple docstring"""
													right -= 1  # Because of right is exclusive
													UpperCAmelCase_			:      List[str]     						=  0
													while left <= right:
																			UpperCAmelCase_			:      Optional[Any]     						=  self.get_prev(__magic_name__   )
																			if left <= current_left:
																									UpperCAmelCase_			:      Dict     						=  max(__magic_name__       ,     self.tree[right]   )
																									UpperCAmelCase_			:      Optional[Any]     						=  current_left
																			else:
																									UpperCAmelCase_			:      str     						=  max(__magic_name__       ,     self.arr[right]   )
																									right -= 1
													return result


if __name__ == "__main__":
					import doctest

					doctest.testmod()





