




'''simple docstring'''



import itertools
import json
import linecache
import os
import pickle
import re
import socket
import string
from collections import Counter
from logging import getLogger
from pathlib import Path
from typing import Callable, Dict, Iterable, List

import git
import torch
from torch.utils.data import Dataset

from transformers import BartTokenizer, RagTokenizer, TaTokenizer




def   lowercase__(			__UpperCamelCase:					Dict      ,__UpperCamelCase:					Optional[int]      ,__UpperCamelCase:					List[str]      ,__UpperCamelCase:					int      ,__UpperCamelCase:					Optional[Any]=True      ,__UpperCamelCase:					Dict="pt"    ):

      """simple docstring"""






      SCREAMING_SNAKE_CASE   :      Optional[int]    					=						{'add_prefix_space': True} if isinstance(__UpperCamelCase      ,__UpperCamelCase    ) and not line.startswith(' '    ) else {}
      SCREAMING_SNAKE_CASE   :      Any    					=						padding_side
      return tokenizer(
          [line]      ,max_length=__UpperCamelCase      ,padding='max_length' if pad_to_max_length else None      ,truncation=__UpperCamelCase      ,return_tensors=__UpperCamelCase      ,add_special_tokens=__UpperCamelCase      ,**__UpperCamelCase      ,)




def   lowercase__(			__UpperCamelCase:					Optional[int]      ,__UpperCamelCase:					str      ,__UpperCamelCase:					List[str]=None      ,):

      """simple docstring"""






      SCREAMING_SNAKE_CASE   :      Union[str, Any]    					=						input_ids.ne(__UpperCamelCase    ).any(dim=0    )
      if attention_mask is None:
            return input_ids[:, keep_column_mask]
      else:
            return (input_ids[:, keep_column_mask], attention_mask[:, keep_column_mask])






class 							_a				(			SCREAMING_SNAKE_CASE ):





       '''simple docstring'''






       def __init__(      self,							A,							A,							A,							A,							A="train",							A=None,							A=None,							A=None,							A="",							):







             '''simple docstring'''







             super().__init__()
             SCREAMING_SNAKE_CASE   :      Optional[Any]    					=						Path(A  ).joinpath(type_path + '.source'  )
             SCREAMING_SNAKE_CASE   :      int    					=						Path(A  ).joinpath(type_path + '.target'  )
             SCREAMING_SNAKE_CASE   :      Optional[int]    					=						self.get_char_lens(self.src_file  )
             SCREAMING_SNAKE_CASE   :      Any    					=						max_source_length
             SCREAMING_SNAKE_CASE   :      str    					=						max_target_length
             assert min(self.src_lens  ) > 0, F"found empty line in {self.src_file}"
             SCREAMING_SNAKE_CASE   :      Any    					=						tokenizer
             SCREAMING_SNAKE_CASE   :      Optional[Any]    					=						prefix
             if n_obs is not None:
                   SCREAMING_SNAKE_CASE   :      Any    					=						self.src_lens[:n_obs]
             SCREAMING_SNAKE_CASE   :      Optional[int]    					=						src_lang
             SCREAMING_SNAKE_CASE   :      Union[str, Any]    					=						tgt_lang







       def __len__(      self  ):







             '''simple docstring'''







             return len(self.src_lens  )







       def __getitem__(      self,							A  ):







             '''simple docstring'''







             SCREAMING_SNAKE_CASE   :      str    					=						index + 1  # linecache starts at 1
             SCREAMING_SNAKE_CASE   :      List[str]    					=						self.prefix + linecache.getline(str(self.src_file  ),							A  ).rstrip('\n'  )
             SCREAMING_SNAKE_CASE   :      Tuple    					=						linecache.getline(str(self.tgt_file  ),							A  ).rstrip('\n'  )
             assert source_line, F"empty source line for index {index}"
             assert tgt_line, F"empty tgt line for index {index}"

             # Need to add eos token manually for T5
             if isinstance(self.tokenizer,							A  ):
                   source_line += self.tokenizer.eos_token
                   tgt_line += self.tokenizer.eos_token

             # Pad source and target to the right
             SCREAMING_SNAKE_CASE   :      Optional[Any]    					=						(
                 self.tokenizer.question_encoder if isinstance(self.tokenizer,							A  ) else self.tokenizer
             )
             SCREAMING_SNAKE_CASE   :      str    					=						self.tokenizer.generator if isinstance(self.tokenizer,							A  ) else self.tokenizer

             SCREAMING_SNAKE_CASE   :      int    					=						encode_line(A,							A,							self.max_source_length,							'right'  )
             SCREAMING_SNAKE_CASE   :      List[str]    					=						encode_line(A,							A,							self.max_target_length,							'right'  )

             SCREAMING_SNAKE_CASE   :      Tuple    					=						source_inputs['input_ids'].squeeze()
             SCREAMING_SNAKE_CASE   :      Dict    					=						target_inputs['input_ids'].squeeze()
             SCREAMING_SNAKE_CASE   :      Optional[Any]    					=						source_inputs['attention_mask'].squeeze()
             return {
                 "input_ids": source_ids,
                 "attention_mask": src_mask,
                 "decoder_input_ids": target_ids,
             }







       @staticmethod
       def        UpperCamelCase_							(      A  ):







             '''simple docstring'''







             return [len(A  ) for x in Path(A  ).open().readlines()]







       def        UpperCamelCase_							(      self,							A  ):







             '''simple docstring'''







             SCREAMING_SNAKE_CASE   :      Optional[Any]    					=						torch.stack([x['input_ids'] for x in batch]  )
             SCREAMING_SNAKE_CASE   :      Union[str, Any]    					=						torch.stack([x['attention_mask'] for x in batch]  )
             SCREAMING_SNAKE_CASE   :      Dict    					=						torch.stack([x['decoder_input_ids'] for x in batch]  )
             SCREAMING_SNAKE_CASE   :      int    					=						(
                 self.tokenizer.generator.pad_token_id
                 if isinstance(self.tokenizer,							A  )
                 else self.tokenizer.pad_token_id
             )
             SCREAMING_SNAKE_CASE   :      Tuple    					=						(
                 self.tokenizer.question_encoder.pad_token_id
                 if isinstance(self.tokenizer,							A  )
                 else self.tokenizer.pad_token_id
             )
             SCREAMING_SNAKE_CASE   :      Dict    					=						trim_batch(A,							A  )
             SCREAMING_SNAKE_CASE					,    SCREAMING_SNAKE_CASE   :      str    					=						trim_batch(A,							A,							attention_mask=A  )
             SCREAMING_SNAKE_CASE   :      List[str]    					=						{
                 'input_ids': source_ids,
                 'attention_mask': source_mask,
                 'decoder_input_ids': y,
             }
             return batch

UpperCamelCase_    	=				getLogger(__name__)




def   lowercase__(			__UpperCamelCase:					List[List]    ):

      """simple docstring"""






      return list(itertools.chain.from_iterable(__UpperCamelCase    )    )




def   lowercase__(			__UpperCamelCase:					str    ):

      """simple docstring"""






      SCREAMING_SNAKE_CASE   :      Tuple    					=						get_git_info()
      save_json(__UpperCamelCase      ,os.path.join(__UpperCamelCase      ,'git_log.json'    )    )




def   lowercase__(			__UpperCamelCase:					Union[str, Any]      ,__UpperCamelCase:					Optional[int]      ,__UpperCamelCase:					Dict=4      ,**__UpperCamelCase:					str    ):

      """simple docstring"""






      with open(__UpperCamelCase      ,'w'    ) as f:
            json.dump(__UpperCamelCase      ,__UpperCamelCase      ,indent=__UpperCamelCase      ,**__UpperCamelCase    )




def   lowercase__(			__UpperCamelCase:					List[str]    ):

      """simple docstring"""






      with open(__UpperCamelCase    ) as f:
            return json.load(__UpperCamelCase    )




def   lowercase__(			):

      """simple docstring"""






      SCREAMING_SNAKE_CASE   :      int    					=						git.Repo(search_parent_directories=__UpperCamelCase    )
      SCREAMING_SNAKE_CASE   :      Dict    					=						{
          'repo_id': str(__UpperCamelCase    ),
          'repo_sha': str(repo.head.object.hexsha    ),
          'repo_branch': str(repo.active_branch    ),
          'hostname': str(socket.gethostname()    ),
      }
      return repo_infos




def   lowercase__(			__UpperCamelCase:					Callable      ,__UpperCamelCase:					Iterable    ):

      """simple docstring"""






      return list(map(__UpperCamelCase      ,__UpperCamelCase    )    )




def   lowercase__(			__UpperCamelCase:					str      ,__UpperCamelCase:					Dict    ):

      """simple docstring"""






      with open(__UpperCamelCase      ,'wb'    ) as f:
            return pickle.dump(__UpperCamelCase      ,__UpperCamelCase    )




def   lowercase__(			__UpperCamelCase:					Union[str, Any]    ):

      """simple docstring"""






      def remove_articles(__UpperCamelCase:					str    ):
            return re.sub(r'\b(a|an|the)\b'      ,' '      ,__UpperCamelCase    )

      def white_space_fix(__UpperCamelCase:					Tuple    ):
            return " ".join(text.split()    )

      def remove_punc(__UpperCamelCase:					int    ):
            SCREAMING_SNAKE_CASE   :      str    					=						set(string.punctuation    )
            return "".join(ch for ch in text if ch not in exclude    )

      def lower(__UpperCamelCase:					int    ):
            return text.lower()

      return white_space_fix(remove_articles(remove_punc(lower(__UpperCamelCase    )    )    )    )




def   lowercase__(			__UpperCamelCase:					int      ,__UpperCamelCase:					Union[str, Any]    ):

      """simple docstring"""






      SCREAMING_SNAKE_CASE   :      Optional[Any]    					=						normalize_answer(__UpperCamelCase    ).split()
      SCREAMING_SNAKE_CASE   :      Any    					=						normalize_answer(__UpperCamelCase    ).split()
      SCREAMING_SNAKE_CASE   :      str    					=						Counter(__UpperCamelCase    ) & Counter(__UpperCamelCase    )
      SCREAMING_SNAKE_CASE   :      Optional[int]    					=						sum(common.values()    )
      if num_same == 0:
            return 0
      SCREAMING_SNAKE_CASE   :      List[str]    					=						1.0 * num_same / len(__UpperCamelCase    )
      SCREAMING_SNAKE_CASE   :      Dict    					=						1.0 * num_same / len(__UpperCamelCase    )
      SCREAMING_SNAKE_CASE   :      Any    					=						(2 * precision * recall) / (precision + recall)
      return fa




def   lowercase__(			__UpperCamelCase:					Any      ,__UpperCamelCase:					Any    ):

      """simple docstring"""






      return normalize_answer(__UpperCamelCase    ) == normalize_answer(__UpperCamelCase    )




def   lowercase__(			__UpperCamelCase:					List[str]      ,__UpperCamelCase:					List[str]    ):

      """simple docstring"""






      assert len(__UpperCamelCase    ) == len(__UpperCamelCase    )
      SCREAMING_SNAKE_CASE   :      Union[str, Any]    					=						0
      for hypo, pred in zip(__UpperCamelCase      ,__UpperCamelCase    ):
            em += exact_match_score(__UpperCamelCase      ,__UpperCamelCase    )
      if len(__UpperCamelCase    ) > 0:
            em /= len(__UpperCamelCase    )
      return {"em": em}




def   lowercase__(			__UpperCamelCase:					Union[str, Any]    ):

      """simple docstring"""






      return model_prefix.startswith('rag'    )





def   lowercase__(			__UpperCamelCase:					Dict      ,__UpperCamelCase:					Dict      ,__UpperCamelCase:					Union[str, Any]    ):

      """simple docstring"""






      SCREAMING_SNAKE_CASE   :      int    					=						{p: p for p in extra_params}
      # T5 models don't have `dropout` param, they have `dropout_rate` instead
      SCREAMING_SNAKE_CASE   :      List[str]    					=						'dropout_rate'
      for p in extra_params:
            if getattr(__UpperCamelCase      ,__UpperCamelCase      ,__UpperCamelCase    ):
                  if not hasattr(__UpperCamelCase      ,__UpperCamelCase    ) and not hasattr(__UpperCamelCase      ,equivalent_param[p]    ):
                        logger.info('config doesn\'t have a `{}` attribute'.format(__UpperCamelCase    )    )
                        delattr(__UpperCamelCase      ,__UpperCamelCase    )
                        continue
                  SCREAMING_SNAKE_CASE   :      Optional[Any]    					=						p if hasattr(__UpperCamelCase      ,__UpperCamelCase    ) else equivalent_param[p]
                  setattr(__UpperCamelCase      ,__UpperCamelCase      ,getattr(__UpperCamelCase      ,__UpperCamelCase    )    )
                  delattr(__UpperCamelCase      ,__UpperCamelCase    )
      return hparams, config










def 		lowercase__  (				_UpperCamelCase) ->			Any:
      """simple docstring"""

      UpperCamelCase					       =  []
      UpperCamelCase					       =  []
      UpperCamelCase					       =  {
          '^': 3,
          '*': 2,
          '/': 2,
          '%': 2,
          '+': 1,
          '-': 1,
      }  # Priority of each operator
      UpperCamelCase					       =  len(_UpperCamelCase) if (len(_UpperCamelCase) > 7) else 7

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

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

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

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

      return "".join(_UpperCamelCase)  # return Postfix as str
def 		lowercase__  (				_UpperCamelCase) ->			Optional[Any]:
      """simple docstring"""

      UpperCamelCase					       =  list(infix[::-1])  # reverse the infix equation

      for i in range(len(_UpperCamelCase)):
            if infix[i] == "(":
                  UpperCamelCase					       =  ')'  # change "(" to ")"
            elif infix[i] == ")":
                  UpperCamelCase					       =  '('  # change ")" to "("

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


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



