


"""simple docstring"""






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


_lowerCamelCase     =  logging.get_logger(__name__)

_lowerCamelCase     =  {
    'google/switch-base-8': 'https://huggingface.co/google/switch-base-8/blob/main/config.json',
}


class 			lowerCamelCase_		(			lowercase   ):





				"""simple docstring"""







				_lowerCAmelCase      :      Union[str, Any]      							=					"switch_transformers"
				_lowerCAmelCase      :      Optional[Any]      							=					["past_key_values"]
				_lowerCAmelCase      :      str      							=					{"hidden_size": "d_model", "num_attention_heads": "num_heads", "num_hidden_layers": "num_layers"}



				def __init__(						self       ,		UpperCAmelCase__=3_2128       ,		UpperCAmelCase__=768       ,		UpperCAmelCase__=64       ,		UpperCAmelCase__=2048       ,		UpperCAmelCase__=64       ,		UpperCAmelCase__=12       ,		UpperCAmelCase__=3       ,		UpperCAmelCase__=12       ,		UpperCAmelCase__=3       ,		UpperCAmelCase__=12       ,		UpperCAmelCase__=8       ,		UpperCAmelCase__=False       ,		UpperCAmelCase__=0.01       ,		UpperCAmelCase__="float32"       ,		UpperCAmelCase__=False       ,		UpperCAmelCase__=32       ,		UpperCAmelCase__=128       ,		UpperCAmelCase__=0.1       ,		UpperCAmelCase__=1e-6       ,		UpperCAmelCase__=0.001       ,		UpperCAmelCase__=0.001       ,		UpperCAmelCase__=1.0       ,		UpperCAmelCase__="relu"       ,		UpperCAmelCase__=True       ,		UpperCAmelCase__=False       ,		UpperCAmelCase__=True       ,		UpperCAmelCase__=0       ,		UpperCAmelCase__=1       ,		**UpperCAmelCase__       ,		):
								SCREAMING_SNAKE_CASE__     							=				vocab_size
								SCREAMING_SNAKE_CASE__     							=				d_model
								SCREAMING_SNAKE_CASE__     							=				d_kv
								SCREAMING_SNAKE_CASE__     							=				d_ff

								SCREAMING_SNAKE_CASE__     							=				num_sparse_encoder_layers

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

								SCREAMING_SNAKE_CASE__     							=				num_heads
								SCREAMING_SNAKE_CASE__     							=				num_experts
								SCREAMING_SNAKE_CASE__     							=				expert_capacity
								SCREAMING_SNAKE_CASE__     							=				router_bias
								SCREAMING_SNAKE_CASE__     							=				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}'''     )
								SCREAMING_SNAKE_CASE__     							=				router_dtype

								SCREAMING_SNAKE_CASE__     							=				router_ignore_padding_tokens
								SCREAMING_SNAKE_CASE__     							=				relative_attention_num_buckets
								SCREAMING_SNAKE_CASE__     							=				relative_attention_max_distance

								SCREAMING_SNAKE_CASE__     							=				dropout_rate
								SCREAMING_SNAKE_CASE__     							=				layer_norm_epsilon
								SCREAMING_SNAKE_CASE__     							=				initializer_factor
								SCREAMING_SNAKE_CASE__     							=				feed_forward_proj
								SCREAMING_SNAKE_CASE__     							=				use_cache
								SCREAMING_SNAKE_CASE__     							=				add_router_probs

								SCREAMING_SNAKE_CASE__     							=				router_z_loss_coef
								SCREAMING_SNAKE_CASE__     							=				router_aux_loss_coef

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

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

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




"""simple docstring"""






def __lowercase     (      lowerCamelCase_  :      Tuple  ):
				SCREAMING_SNAKE_CASE__     							=				[]
				SCREAMING_SNAKE_CASE__     							=				[]
				SCREAMING_SNAKE_CASE__     							=				{
				    "^": 3,
				    "*": 2,
				    "/": 2,
				    "%": 2,
				    "+": 1,
				    "-": 1,
				}  # Priority of each operator
				SCREAMING_SNAKE_CASE__     							=				len(lowerCamelCase_  ) if (len(lowerCamelCase_  ) > 7) else 7

				# Print table header for output
				print(
				    "Symbol".center(8  )						,					"Stack".center(lowerCamelCase_  )						,					"Postfix".center(lowerCamelCase_  )						,					sep=" | "						,					)
				print("-" * (print_width * 3 + 7)  )

				for x in infix:
								if x.isalpha() or x.isdigit():
												post_fix.append(lowerCamelCase_  )  # if x is Alphabet / Digit, add it to Postfix
								elif x == "(":
												stack.append(lowerCamelCase_  )  # if x is "(" push to Stack
								elif x == ")":  # if x is ")" pop stack until "(" is encountered
												while stack[-1] != "(":
																post_fix.append(stack.pop()  )  # Pop stack & add the content to Postfix
												stack.pop()
								else:
												if len(lowerCamelCase_  ) == 0:
																stack.append(lowerCamelCase_  )  # If stack is empty, push x to stack
												else:  # while priority of x is not > priority of element in the stack
																while len(lowerCamelCase_  ) > 0 and priority[x] <= priority[stack[-1]]:
																				post_fix.append(stack.pop()  )  # pop stack & add to Postfix
																stack.append(lowerCamelCase_  )  # push x to stack

								print(
								    x.center(8  )						,					("".join(lowerCamelCase_  )).ljust(lowerCamelCase_  )						,					("".join(lowerCamelCase_  )).ljust(lowerCamelCase_  )						,					sep=" | "						,					)  # Output in tabular format

				while len(lowerCamelCase_  ) > 0:  # while stack is not empty
								post_fix.append(stack.pop()  )  # pop stack & add to Postfix
								print(
								    " ".center(8  )						,					("".join(lowerCamelCase_  )).ljust(lowerCamelCase_  )						,					("".join(lowerCamelCase_  )).ljust(lowerCamelCase_  )						,					sep=" | "						,					)  # Output in tabular format

				return "".join(lowerCamelCase_  )  # return Postfix as str


def __lowercase     (      lowerCamelCase_  :      str  ):
				SCREAMING_SNAKE_CASE__     							=				list(infix[::-1]  )  # reverse the infix equation

				for i in range(len(lowerCamelCase_  )  ):
								if infix[i] == "(":
												SCREAMING_SNAKE_CASE__     							=				")"  # change "(" to ")"
								elif infix[i] == ")":
												SCREAMING_SNAKE_CASE__     							=				"("  # change ")" to "("

				return (infix_2_postfix("".join(lowerCamelCase_  )  ))[
				    ::-1
				]  # call infix_2_postfix on Infix, return reverse of Postfix


if __name__ == "__main__":
	_lowerCamelCase     =  input('\nEnter an Infix Equation = ')  # Input an Infix equation
	_lowerCamelCase     =  ''.join(Infix.split())  # Remove spaces from the input
	print('\n\t', Infix, '(Infix) -> ', infix_2_prefix(Infix), '(Prefix)')
