



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


UpperCamelCase__ =						logging.get_logger(__name__)

UpperCamelCase__ =						{
    "google/switch-base-8": "https://huggingface.co/google/switch-base-8/blob/main/config.json",
}
class 			_lowerCAmelCase   ( _UpperCAmelCase			):






			"""simple docstring"""





			lowercase__      :  Dict      =			"""switch_transformers"""
			lowercase__      :  int      =			["""past_key_values"""]
			lowercase__      :  Dict      =			{"""hidden_size""": """d_model""", """num_attention_heads""": """num_heads""", """num_hidden_layers""": """num_layers"""}





			def __init__(				self	:       Any			,     lowercase	:       List[Any]=32_128			,     lowercase	:       Optional[int]=768			,     lowercase	:       Optional[int]=64			,     lowercase	:       int=2_048			,     lowercase	:       Union[str, Any]=64			,     lowercase	:       List[Any]=12			,     lowercase	:       Tuple=3			,     lowercase	:       Tuple=12			,     lowercase	:       Union[str, Any]=3			,     lowercase	:       List[str]=12			,     lowercase	:       int=8			,     lowercase	:       Optional[Any]=False			,     lowercase	:       List[str]=0.01			,     lowercase	:       str="float32"			,     lowercase	:       int=False			,     lowercase	:       Any=32			,     lowercase	:       Optional[int]=128			,     lowercase	:       Tuple=0.1			,     lowercase	:       Union[str, Any]=1E-6			,     lowercase	:       List[str]=0.001			,     lowercase	:       Optional[Any]=0.001			,     lowercase	:       Any=1.0			,     lowercase	:       Dict="relu"			,     lowercase	:       List[Any]=True			,     lowercase	:       Any=False			,     lowercase	:       Optional[Any]=True			,     lowercase	:       Dict=0			,     lowercase	:       List[Any]=1			,     **lowercase	:       str			,     )						->					str:
									"""simple docstring"""







									__lowercase					=				vocab_size
									__lowercase					=				d_model
									__lowercase					=				d_kv
									__lowercase					=				d_ff

									__lowercase					=				num_sparse_encoder_layers

									__lowercase					=				num_layers
									__lowercase					=				(
									    num_decoder_layers if num_decoder_layers is not None else self.num_layers
									)  # default = symmetry
									__lowercase					=				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:
															__lowercase					=				self.num_layers // self.num_sparse_encoder_layers
									else:
															__lowercase					=				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:
															__lowercase					=				self.num_decoder_layers // self.num_sparse_decoder_layers
									else:
															__lowercase					=				self.num_decoder_layers  # HACK: this will create 0 sparse layers

									__lowercase					=				num_heads
									__lowercase					=				num_experts
									__lowercase					=				expert_capacity
									__lowercase					=				router_bias
									__lowercase					=				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}"   )
									__lowercase					=				router_dtype

									__lowercase					=				router_ignore_padding_tokens
									__lowercase					=				relative_attention_num_buckets
									__lowercase					=				relative_attention_max_distance

									__lowercase					=				dropout_rate
									__lowercase					=				layer_norm_epsilon
									__lowercase					=				initializer_factor
									__lowercase					=				feed_forward_proj
									__lowercase					=				use_cache
									__lowercase					=				add_router_probs

									__lowercase					=				router_z_loss_coef
									__lowercase					=				router_aux_loss_coef

									__lowercase					=				self.feed_forward_proj.split("""-"""   )
									__lowercase					=				act_info[-1]
									__lowercase					=				act_info[0] == """gated"""

									if len(lowercase   ) > 1 and act_info[0] != "gated" or len(lowercase   ) > 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":
															__lowercase					=				"""gelu_new"""

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










def  UpperCAmelCase__    (    lowercase__   ) ->      Optional[int]:
						__lowercase					=				len(lowercase__   )
						__lowercase					=				sum(lowercase__   )

						__lowercase					=				[[False for x in range(s + 1   )] for y in range(n + 1   )]

						for i in range(1						,       n + 1   ):
												__lowercase					=				True

						for i in range(1						,       s + 1   ):
												__lowercase					=				False

						for i in range(1						,       n + 1   ):
												for j in range(1						,       s + 1   ):
																		__lowercase					=				dp[i][j - 1]

																		if arr[i - 1] <= j:
																								__lowercase					=				dp[i][j] or dp[i - 1][j - arr[i - 1]]

						for j in range(int(s / 2   )						,       -1						,       -1   ):
												if dp[n][j] is True:
																		__lowercase					=				s - 2 * j
																		break

						return diff





