




from collections import OrderedDict
from typing import TYPE_CHECKING, Any, List, Mapping, Optional, Union

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


if TYPE_CHECKING:
							from ...onnx.config import PatchingSpec
							from ...tokenization_utils_base import PreTrainedTokenizerBase


UpperCAmelCase_		:				Optional[int]									=     logging.get_logger(__name__)

UpperCAmelCase_		:				List[Any]									=     {
    "allenai/longformer-base-4096": "https://huggingface.co/allenai/longformer-base-4096/resolve/main/config.json",
    "allenai/longformer-large-4096": "https://huggingface.co/allenai/longformer-large-4096/resolve/main/config.json",
    "allenai/longformer-large-4096-finetuned-triviaqa": (
        "https://huggingface.co/allenai/longformer-large-4096-finetuned-triviaqa/resolve/main/config.json"
    ),
    "allenai/longformer-base-4096-extra.pos.embd.only": (
        "https://huggingface.co/allenai/longformer-base-4096-extra.pos.embd.only/resolve/main/config.json"
    ),
    "allenai/longformer-large-4096-extra.pos.embd.only": (
        "https://huggingface.co/allenai/longformer-large-4096-extra.pos.embd.only/resolve/main/config.json"
    ),
}




class 		__A      (			__lowerCAmelCase			):
						UpperCamelCase     						=					"longformer"

						def __init__(		self   :int    , __snake_case   :Union[List[int], int] = 5_12    , __snake_case   :int = 2    , __snake_case   :int = 1    , __snake_case   :int = 0    , __snake_case   :int = 2    , __snake_case   :int = 3_05_22    , __snake_case   :int = 7_68    , __snake_case   :int = 12    , __snake_case   :int = 12    , __snake_case   :int = 30_72    , __snake_case   :str = "gelu"    , __snake_case   :float = 0.1    , __snake_case   :float = 0.1    , __snake_case   :int = 5_12    , __snake_case   :int = 2    , __snake_case   :float = 0.02    , __snake_case   :float = 1E-12    , __snake_case   :bool = False    , **__snake_case   :Tuple    , ):
										'''simple docstring'''

										super().__init__(pad_token_id=lowerCamelCase__    , **lowerCamelCase__ )

										__magic_name__	:	Dict								=attention_window
										__magic_name__	:	Dict								=sep_token_id
										__magic_name__	:	int								=bos_token_id
										__magic_name__	:	List[str]								=eos_token_id
										__magic_name__	:	List[str]								=vocab_size
										__magic_name__	:	Tuple								=hidden_size
										__magic_name__	:	Union[str, Any]								=num_hidden_layers
										__magic_name__	:	int								=num_attention_heads
										__magic_name__	:	Optional[Any]								=hidden_act
										__magic_name__	:	Any								=intermediate_size
										__magic_name__	:	Union[str, Any]								=hidden_dropout_prob
										__magic_name__	:	Dict								=attention_probs_dropout_prob
										__magic_name__	:	Tuple								=max_position_embeddings
										__magic_name__	:	Optional[Any]								=type_vocab_size
										__magic_name__	:	str								=initializer_range
										__magic_name__	:	List[Any]								=layer_norm_eps
										__magic_name__	:	str								=onnx_export




class 		__A      (			__lowerCAmelCase			):

						def __init__(		self   :Optional[Any]    , __snake_case   :"PretrainedConfig"    , __snake_case   :str = "default"    , __snake_case   :"List[PatchingSpec]" = None ):
										'''simple docstring'''

										super().__init__(lowerCamelCase__    , lowerCamelCase__    , lowerCamelCase__ )
										__magic_name__	:	Union[str, Any]								=True

						@property
						def     A__						(		self   :List[str] ):
										'''simple docstring'''

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

						@property
						def     A__						(		self   :Optional[Any] ):
										'''simple docstring'''

										__magic_name__	:	List[str]								=super().outputs
										if self.task == "default":
														__magic_name__	:	Tuple								={0: '''batch'''}
										return outputs

						@property
						def     A__						(		self   :Any ):
										'''simple docstring'''

										return 1E-4

						@property
						def     A__						(		self   :int ):
										'''simple docstring'''

										return max(super().default_onnx_opset    , 14 )


						def     A__						(		self   :List[Any]    , __snake_case   :"PreTrainedTokenizerBase"    , __snake_case   :int = -1    , __snake_case   :int = -1    , __snake_case   :bool = False    , __snake_case   :Optional[TensorType] = None    , ):
										'''simple docstring'''

										__magic_name__	:	List[str]								=super().generate_dummy_inputs(
										    preprocessor=lowerCamelCase__    , batch_size=lowerCamelCase__    , seq_length=lowerCamelCase__    , is_pair=lowerCamelCase__    , framework=lowerCamelCase__ )
										import torch

										# for some reason, replacing this code by inputs["global_attention_mask"] = torch.randint(2, inputs["input_ids"].shape, dtype=torch.int64)
										# makes the export fail randomly
										__magic_name__	:	Optional[Any]								=torch.zeros_like(inputs["""input_ids"""] )
										# make every second token global
										__magic_name__	:	Tuple								=1

										return inputs









def 		lowerCAmelCase_   (	lowerCamelCase   ):
				__magic_name__	:	Optional[int]								=[]
				__magic_name__	:	int								=[]
				__magic_name__	:	str								={
				    """^""": 3,
				    """*""": 2,
				    """/""": 2,
				    """%""": 2,
				    """+""": 1,
				    """-""": 1,
				}  # Priority of each operator
				__magic_name__	:	Dict								=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 		lowerCAmelCase_   (	lowerCamelCase   ):
				__magic_name__	:	Union[str, Any]								=list(infix[::-1]   )  # reverse the infix equation

				for i in range(len(lowerCamelCase   )   ):
								if infix[i] == "(":
												__magic_name__	:	str								=""")"""  # change "(" to ")"
								elif infix[i] == ")":
												__magic_name__	:	int								="""("""  # change ")" to "("

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


if __name__ == "__main__":
							UpperCAmelCase_		:				Tuple									=     input("\nEnter an Infix Equation = ")  # Input an Infix equation
							UpperCAmelCase_		:				Dict									=     "".join(Infix.split())  # Remove spaces from the input
							print("\n\t", Infix, "(Infix) -> ", infix_2_prefix(Infix), "(Prefix)")




