





'''simple docstring'''




import collections
import os
from typing import List, Optional, Tuple

from transformers.utils import is_jieba_available, requires_backends


if is_jieba_available():
			import jieba

from ...tokenization_utils import PreTrainedTokenizer
from ...utils import logging


a__					:			Union[str, Any]          =     logging.get_logger(__name__)

a__					:			List[Any]          =     {'''vocab_file''': '''vocab.txt'''}

a__					:			int          =     {
    '''vocab_file''': {
        '''openbmb/cpm-ant-10b''': '''https://huggingface.co/openbmb/cpm-ant-10b/blob/main/vocab.txt''',
    },
}

a__					:			int          =     {
    '''openbmb/cpm-ant-10b''': 1024,
}




def 						__lowerCamelCase			(	UpperCAmelCase_							)   ->Any:
	snake_case__	       =   collections.OrderedDict()
	with open(UpperCAmelCase_					,				'r'					,				encoding='utf-8'							) as reader:
		snake_case__	       =   reader.readlines()
	for index, token in enumerate(UpperCAmelCase_							):
		snake_case__	       =   token.rstrip('\n'							)
		snake_case__	       =   index
	return vocab






class 				__snake_case     (					__magic_name__							):





	def __init__(		self      ,       UpperCamelCase_      ,       UpperCamelCase_="<unk>"      ,       UpperCamelCase_=200		)      ->		Dict:
		snake_case__	       =   vocab
		snake_case__	       =   unk_token
		snake_case__	       =   max_input_chars_per_word





	def   _snake_case   (		self      ,       UpperCamelCase_		)      ->		str:
		snake_case__	       =   list(UpperCamelCase_		)
		if len(UpperCamelCase_		) > self.max_input_chars_per_word:
			return [self.unk_token]

		snake_case__	       =   0
		snake_case__	       =   []
		while start < len(UpperCamelCase_		):
			snake_case__	       =   len(UpperCamelCase_		)
			snake_case__	       =   None
			while start < end:
				snake_case__	       =   ''.join(chars[start:end]		)
				if substr in self.vocab:
					snake_case__	       =   substr
					break
				end -= 1
			if cur_substr is None:
				sub_tokens.append(self.unk_token		)
				start += 1
			else:
				sub_tokens.append(UpperCamelCase_		)
				snake_case__	       =   end

		return sub_tokens






class 				__snake_case     (					__magic_name__							):
	__lowerCAmelCase       						=  VOCAB_FILES_NAMES
	__lowerCAmelCase       						=  PRETRAINED_VOCAB_FILES_MAP
	__lowerCAmelCase       						=  PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
	__lowerCAmelCase       						=  ['''input_ids''', '''attention_mask''']
	__lowerCAmelCase       						=  False





	def __init__(		self      ,       UpperCamelCase_      ,       UpperCamelCase_="<d>"      ,       UpperCamelCase_="</d>"      ,       UpperCamelCase_="<s>"      ,       UpperCamelCase_="</s>"      ,       UpperCamelCase_="<pad>"      ,       UpperCamelCase_="<unk>"      ,       UpperCamelCase_="</n>"      ,       UpperCamelCase_="</_>"      ,       UpperCamelCase_="left"      ,       **UpperCamelCase_      ,       )      ->		str:
		requires_backends(self      ,       ['jieba']		)
		super().__init__(
		    bod_token=UpperCamelCase_      ,       eod_token=UpperCamelCase_      ,       bos_token=UpperCamelCase_      ,       eos_token=UpperCamelCase_      ,       pad_token=UpperCamelCase_      ,       unk_token=UpperCamelCase_      ,       line_token=UpperCamelCase_      ,       space_token=UpperCamelCase_      ,       padding_side=UpperCamelCase_      ,       **UpperCamelCase_      ,       )
		snake_case__	       =   bod_token
		snake_case__	       =   eod_token
		snake_case__	       =   load_vocab(UpperCamelCase_		)
		snake_case__	       =   self.encoder[space_token]
		snake_case__	       =   self.encoder[line_token]

		del self.encoder[space_token]
		del self.encoder[line_token]

		snake_case__	       =   collections.OrderedDict(sorted(self.encoder.items()      ,       key=lambda UpperCamelCase_		: x[1]		)		)
		snake_case__	       =   {v: k for k, v in self.encoder.items()}

		snake_case__	       =   WordpieceTokenizer(vocab=self.encoder      ,       unk_token=self.unk_token		)





	@property
	def   _snake_case   (		self		)      ->		Optional[Any]:
		return self.encoder[self.bod_token]





	@property
	def   _snake_case   (		self		)      ->		Optional[Any]:
		return self.encoder[self.eod_token]





	@property
	def   _snake_case   (		self		)      ->		str:
		return self.encoder["\n"]





	@property
	def   _snake_case   (		self		)      ->		int:
		return len(self.encoder		)





	def   _snake_case   (		self		)      ->		Optional[int]:
		return dict(self.encoder      ,       **self.added_tokens_encoder		)





	def   _snake_case   (		self      ,       UpperCamelCase_		)      ->		Optional[Any]:
		snake_case__	       =   []
		for x in jieba.cut(UpperCamelCase_      ,       cut_all=UpperCamelCase_		):
			output_tokens.extend(self.wordpiece_tokenizer.tokenize(UpperCamelCase_		)		)
		return output_tokens





	def   _snake_case   (		self      ,       UpperCamelCase_      ,       **UpperCamelCase_		)      ->		str:
		snake_case__	       =   [i for i in token_ids if i >= 0]
		snake_case__	       =   [
		    x for x in token_ids if x != self.pad_token_id and x != self.eos_token_id and x != self.bos_token_id
		]
		return super()._decode(UpperCamelCase_      ,       **UpperCamelCase_		)





	def   _snake_case   (		self      ,       UpperCamelCase_		)      ->		List[Any]:
		return token in self.encoder





	def   _snake_case   (		self      ,       UpperCamelCase_		)      ->		str:
		return "".join(UpperCamelCase_		)





	def   _snake_case   (		self      ,       UpperCamelCase_		)      ->		List[Any]:
		return self.encoder.get(UpperCamelCase_      ,       self.encoder.get(self.unk_token		)		)





	def   _snake_case   (		self      ,       UpperCamelCase_		)      ->		List[str]:
		return self.decoder.get(UpperCamelCase_      ,       self.unk_token		)





	def   _snake_case   (		self      ,       UpperCamelCase_      ,       UpperCamelCase_ = None		)      ->		Tuple[str]:
		if os.path.isdir(UpperCamelCase_		):
			snake_case__	       =   os.path.join(
			    UpperCamelCase_      ,       (filename_prefix + '-' if filename_prefix else '') + VOCAB_FILES_NAMES['vocab_file']		)
		else:
			snake_case__	       =   (filename_prefix + '-' if filename_prefix else '') + save_directory
		snake_case__	       =   0
		if " " in self.encoder:
			snake_case__	       =   self.encoder[' ']
			del self.encoder[" "]
		if "\n" in self.encoder:
			snake_case__	       =   self.encoder['\n']
			del self.encoder["\n"]
		snake_case__	       =   collections.OrderedDict(sorted(self.encoder.items()      ,       key=lambda UpperCamelCase_		: x[1]		)		)
		with open(UpperCamelCase_      ,       'w'      ,       encoding='utf-8'		) as writer:
			for token, token_index in self.encoder.items():
				if index != token_index:
					logger.warning(
					    F'''Saving vocabulary to {vocab_file}: vocabulary indices are not consecutive.'''
					    ' Please check that the vocabulary is not corrupted!'		)
					snake_case__	       =   token_index
				writer.write(token + '\n'		)
				index += 1
		return (vocab_file,)





	def   _snake_case   (		self      ,       UpperCamelCase_      ,       UpperCamelCase_ = None		)      ->		List[int]:
		if token_ids_a is None:
			return [self.bos_token_id] + token_ids_a
		return [self.bos_token_id] + token_ids_a + [self.bos_token_id] + token_ids_a





	def   _snake_case   (		self      ,       UpperCamelCase_      ,       UpperCamelCase_ = None      ,       UpperCamelCase_ = False		)      ->		List[int]:

		if already_has_special_tokens:
			return super().get_special_tokens_mask(
			    token_ids_a=UpperCamelCase_      ,       token_ids_a=UpperCamelCase_      ,       already_has_special_tokens=UpperCamelCase_		)

		if token_ids_a is not None:
			return [1] + ([0] * len(UpperCamelCase_		)) + [1] + ([0] * len(UpperCamelCase_		))
		return [1] + ([0] * len(UpperCamelCase_		))










'''simple docstring'''




a__					:			Optional[Any]          =     '''Alexander Joslin'''

import operator as op

from .stack import Stack




def 						__lowerCamelCase			(	UpperCAmelCase_							)   ->int:
	snake_case__	       =   {'*': op.mul, '/': op.truediv, '+': op.add, '-': op.sub}

	snake_case__	       =   Stack()
	snake_case__	       =   Stack()

	for i in equation:
		if i.isdigit():
			# RULE 1
			operand_stack.push(int(UpperCAmelCase_							)							)
		elif i in operators:
			# RULE 2
			operator_stack.push(UpperCAmelCase_							)
		elif i == ")":
			# RULE 4
			snake_case__	       =   operator_stack.peek()
			operator_stack.pop()
			snake_case__	       =   operand_stack.peek()
			operand_stack.pop()
			snake_case__	       =   operand_stack.peek()
			operand_stack.pop()

			snake_case__	       =   operators[opr](UpperCAmelCase_					,				UpperCAmelCase_							)
			operand_stack.push(UpperCAmelCase_							)

    # RULE 5
	return operand_stack.peek()


if __name__ == "__main__":
			a__					:			Any          =     '''(5 + ((4 * 2) * (2 + 3)))'''
			# answer = 45
			print(f"""{equation} = {dijkstras_two_stack_algorithm(equation)}""")



