

from collections import OrderedDict
from typing import Mapping

from ...configuration_utils import PretrainedConfig
from ...onnx import OnnxConfig
from ...utils import logging


lowercase     :       Optional[Any]        =       logging.get_logger(__name__)

lowercase     :       Any        =       {
    "mnaylor/mega-base-wikitext": "https://huggingface.co/mnaylor/mega-base-wikitext/resolve/main/config.json",
}
class 		SCREAMING_SNAKE_CASE__					(		lowerCamelCase__   ):







						"""simple docstring"""




						lowercase  :				int											=							'mega'

						def __init__(				self , __UpperCamelCase=3_05_22 , __UpperCamelCase=1_28 , __UpperCamelCase=4 , __UpperCamelCase=2_56 , __UpperCamelCase=16 , __UpperCamelCase=True , __UpperCamelCase=64 , __UpperCamelCase=False , __UpperCamelCase=-1 , __UpperCamelCase=None , __UpperCamelCase=True , __UpperCamelCase="scalenorm" , __UpperCamelCase=True , __UpperCamelCase="silu" , __UpperCamelCase="softmax" , __UpperCamelCase=0.1 , __UpperCamelCase=0.1 , __UpperCamelCase=0.1 , __UpperCamelCase=False , __UpperCamelCase=True , __UpperCamelCase=2_56 , __UpperCamelCase=True , __UpperCamelCase=0.1 , __UpperCamelCase=20_48 , __UpperCamelCase=False , __UpperCamelCase=2 , __UpperCamelCase=0.02 , __UpperCamelCase=0.2 , __UpperCamelCase=0.02 , __UpperCamelCase=1.0 , __UpperCamelCase=1 , __UpperCamelCase=0 , __UpperCamelCase=2 , __UpperCamelCase="rotary" , __UpperCamelCase=None , __UpperCamelCase=True , __UpperCamelCase=True , **__UpperCamelCase , )							->	str:




									'''simple docstring'''


									super().__init__(pad_token_id=__UpperCamelCase , bos_token_id=__UpperCamelCase , eos_token_id=__UpperCamelCase , **__UpperCamelCase    )

									__UpperCamelCase    :    Optional[int]								=      vocab_size
									__UpperCamelCase    :    Tuple								=      hidden_size
									__UpperCamelCase    :    Any								=      num_hidden_layers
									__UpperCamelCase    :    int								=      activation
									__UpperCamelCase    :    Union[str, Any]								=      attention_activation
									__UpperCamelCase    :    Optional[Any]								=      intermediate_size
									__UpperCamelCase    :    Dict								=      ema_projection_size
									__UpperCamelCase    :    List[Any]								=      bidirectional
									__UpperCamelCase    :    Tuple								=      shared_representation_size
									__UpperCamelCase    :    Optional[int]								=      use_chunking
									__UpperCamelCase    :    List[str]								=      chunk_size
									__UpperCamelCase    :    Tuple								=      truncation
									__UpperCamelCase    :    Optional[int]								=      normalize_before_mega
									__UpperCamelCase    :    Dict								=      normalization_type
									__UpperCamelCase    :    Union[str, Any]								=      norm_affine
									__UpperCamelCase    :    Optional[Any]								=      dropout_prob
									__UpperCamelCase    :    Dict								=      hidden_dropout_prob
									__UpperCamelCase    :    str								=      attention_probs_dropout_prob
									__UpperCamelCase    :    int								=      use_feature_dropout
									__UpperCamelCase    :    Union[str, Any]								=      use_normalized_ffn
									__UpperCamelCase    :    str								=      nffn_hidden_size
									__UpperCamelCase    :    Optional[int]								=      normalize_before_ffn
									__UpperCamelCase    :    Union[str, Any]								=      nffn_activation_dropout_prob
									__UpperCamelCase    :    List[str]								=      max_positions
									__UpperCamelCase    :    Tuple								=      add_token_type_embeddings
									__UpperCamelCase    :    Union[str, Any]								=      type_vocab_size
									__UpperCamelCase    :    int								=      initializer_range
									__UpperCamelCase    :    int								=      ema_delta_alpha_range
									__UpperCamelCase    :    List[str]								=      ema_beta_range
									__UpperCamelCase    :    List[Any]								=      ema_gamma_omega_range
									__UpperCamelCase    :    Any								=      relative_positional_bias
									__UpperCamelCase    :    str								=      use_cache
									__UpperCamelCase    :    int								=      classifier_dropout
									__UpperCamelCase    :    Optional[Any]								=      add_lm_hidden_dense_layer
									__UpperCamelCase    :    List[str]								=      1  # not used but required by Hugging Face







class 		SCREAMING_SNAKE_CASE__					(		lowerCamelCase__   ):







						"""simple docstring"""




						@property
						def __lowerCamelCase					(				self    )							->	Mapping[str, Mapping[int, str]]:




									'''simple docstring'''


									if self.task == "multiple-choice":
												__UpperCamelCase    :    Union[str, Any]								=      {0: "batch", 1: "choice", 2: "sequence"}
									else:
												__UpperCamelCase    :    Optional[Any]								=      {0: "batch", 1: "sequence"}
									return OrderedDict(
									    [
									        ("input_ids", dynamic_axis),
									        ("attention_mask", dynamic_axis),
									    ]    )


from .balanced_parentheses import balanced_parentheses
from .stack import Stack







def  UpperCAmelCase_   (_lowerCAmelCase :		str		):
			return {"+": 1, "-": 1, "*": 2, "/": 2, "^": 3}.get(_lowerCAmelCase     ,			-1		)







def  UpperCAmelCase_   (_lowerCAmelCase :		str		):
			if not balanced_parentheses(_lowerCAmelCase		):
						raise ValueError("Mismatched parentheses"		)
			__UpperCamelCase    :    Stack[str]								=      Stack()
			__UpperCamelCase    :    int								=      []
			for char in expression_str:
						if char.isalpha() or char.isdigit():
									postfix.append(_lowerCAmelCase		)
						elif char == "(":
									stack.push(_lowerCAmelCase		)
						elif char == ")":
									while not stack.is_empty() and stack.peek() != "(":
												postfix.append(stack.pop()		)
									stack.pop()
						else:
									while not stack.is_empty() and precedence(_lowerCAmelCase		) <= precedence(stack.peek()		):
												postfix.append(stack.pop()		)
									stack.push(_lowerCAmelCase		)
			while not stack.is_empty():
						postfix.append(stack.pop()		)
			return " ".join(_lowerCAmelCase		)


if __name__ == "__main__":
					from doctest import testmod

					testmod()
					lowercase     :       int        =       "a+b*(c^d-e)^(f+g*h)-i"

					print("Infix to Postfix Notation demonstration:\n")
					print("Infix notation: " + expression)
					print("Postfix notation: " + infix_to_postfix(expression))