




'''simple docstring'''



import argparse
import logging
import pickle
import random
import time

import numpy as np

from transformers import BertTokenizer, GPTaTokenizer, RobertaTokenizer


logging.basicConfig(
    format='''%(asctime)s - %(levelname)s - %(name)s - %(message)s''', datefmt='''%m/%d/%Y %H:%M:%S''', level=logging.INFO
)
UpperCAmelCase_							:	Any	     =		logging.getLogger(__name__)







def       _UpperCamelCase			()-> Union[str, Any]:




     '''simple docstring'''





     __snake_case            =	argparse.ArgumentParser(
         description='''Preprocess the data to avoid re-doing it several times by (tokenization + token_to_ids).'''						)
     parser.add_argument('''--file_path''' ,						type=_lowerCamelCase ,						default='''data/dump.txt''' ,						help='''The path to the data.'''						)
     parser.add_argument('''--tokenizer_type''' ,						type=_lowerCamelCase ,						default='''bert''' ,						choices=['''bert''', '''roberta''', '''gpt2''']						)
     parser.add_argument('''--tokenizer_name''' ,						type=_lowerCamelCase ,						default='''bert-base-uncased''' ,						help='''The tokenizer to use.'''						)
     parser.add_argument('''--dump_file''' ,						type=_lowerCamelCase ,						default='''data/dump''' ,						help='''The dump file prefix.'''						)
     __snake_case            =	parser.parse_args()

     logger.info(f'''Loading Tokenizer ({args.tokenizer_name})'''						)
     if args.tokenizer_type == "bert":
          __snake_case            =	BertTokenizer.from_pretrained(args.tokenizer_name						)
          __snake_case            =	tokenizer.special_tokens_map['''cls_token''']  # `[CLS]`
          __snake_case            =	tokenizer.special_tokens_map['''sep_token''']  # `[SEP]`
     elif args.tokenizer_type == "roberta":
          __snake_case            =	RobertaTokenizer.from_pretrained(args.tokenizer_name						)
          __snake_case            =	tokenizer.special_tokens_map['''cls_token''']  # `<s>`
          __snake_case            =	tokenizer.special_tokens_map['''sep_token''']  # `</s>`
     elif args.tokenizer_type == "gpt2":
          __snake_case            =	GPTaTokenizer.from_pretrained(args.tokenizer_name						)
          __snake_case            =	tokenizer.special_tokens_map['''bos_token''']  # `<|endoftext|>`
          __snake_case            =	tokenizer.special_tokens_map['''eos_token''']  # `<|endoftext|>`

     logger.info(f'''Loading text from {args.file_path}'''						)
     with open(args.file_path ,						'''r''' ,						encoding='''utf8'''						) as fp:
          __snake_case            =	fp.readlines()

     logger.info('''Start encoding'''						)
     logger.info(f'''{len(_lowerCamelCase						)} examples to process.'''						)

     __snake_case            =	[]
     __snake_case            =	0
     __snake_case            =	1_00_00
     __snake_case            =	time.time()
     for text in data:
          __snake_case            =	f'''{bos} {text.strip()} {sep}'''
          __snake_case            =	tokenizer.encode(_lowerCamelCase ,						add_special_tokens=_lowerCamelCase						)
          rslt.append(_lowerCamelCase						)

          iter += 1
          if iter % interval == 0:
               __snake_case            =	time.time()
               logger.info(f'''{iter} examples processed. - {(end-start):.2f}s/{interval}expl'''						)
               __snake_case            =	time.time()
     logger.info('''Finished binarization'''						)
     logger.info(f'''{len(_lowerCamelCase						)} examples processed.'''						)

     __snake_case            =	f'''{args.dump_file}.{args.tokenizer_name}.pickle'''
     __snake_case            =	tokenizer.vocab_size
     if vocab_size < (1 << 16):
          __snake_case            =	[np.uintaa(_lowerCamelCase						) for d in rslt]
     else:
          __snake_case            =	[np.intaa(_lowerCamelCase						) for d in rslt]
     random.shuffle(rslt_						)
     logger.info(f'''Dump to {dp_file}'''						)
     with open(_lowerCamelCase ,						'''wb'''						) as handle:
          pickle.dump(rslt_ ,						_lowerCamelCase ,						protocol=pickle.HIGHEST_PROTOCOL						)


if __name__ == "__main__":
     main()












'''simple docstring'''



def       _UpperCamelCase			(_lowerCamelCase				:  Optional[Any]						)-> Dict:




     '''simple docstring'''





     __snake_case            =	[]
     __snake_case            =	[]
     __snake_case            =	{
         '''^''': 3,
         '''*''': 2,
         '''/''': 2,
         '''%''': 2,
         '''+''': 1,
         '''-''': 1,
     }  # Priority of each operator
     __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       _UpperCamelCase			(_lowerCamelCase				:  Optional[Any]						)-> str:




     '''simple docstring'''





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

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

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


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






