
'''simple docstring'''


import json
import re
from typing import TYPE_CHECKING, List, Optional, Tuple, Union

import numpy as np

from ...utils import is_tf_available, is_torch_available, logging


if TYPE_CHECKING:
   if is_torch_available():
      import torch
   if is_tf_available():
      import tensorflow as tf

from tokenizers import pre_tokenizers

from ...tokenization_utils_base import BatchEncoding
from ...tokenization_utils_fast import PreTrainedTokenizerFast
from .tokenization_codegen import CodeGenTokenizer


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

snake_case_ :  Union[str, Any]     =					{'vocab_file': 'vocab.json', 'merges_file': 'merges.txt', 'tokenizer_file': 'tokenizer.json'}

snake_case_ :  Tuple     =					{
    'vocab_file': {
        'Salesforce/codegen-350M-mono': 'https://huggingface.co/Salesforce/codegen-350M-mono/resolve/main/vocab.json',
    },
    'merges_file': {
        'Salesforce/codegen-350M-mono': 'https://huggingface.co/Salesforce/codegen-350M-mono/resolve/main/merges.txt',
    },
    'tokenizer_file': {
        'Salesforce/codegen-350M-mono': (
            'https://huggingface.co/Salesforce/codegen-350M-mono/resolve/main/tokenizer.json'
        ),
    },
}

snake_case_ :  Any     =					{
    'Salesforce/codegen-350M-mono': 2_048,
}


class 						lowercase__	(  snake_case_   ):






   '''simple docstring'''







   _snake_case		   =							VOCAB_FILES_NAMES
   _snake_case		   =							PRETRAINED_VOCAB_FILES_MAP
   _snake_case		   =							PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
   _snake_case		   =							['''input_ids''', '''attention_mask''']
   _snake_case		   =							CodeGenTokenizer







   def __init__(			self ,   lowerCamelCase__=None ,   lowerCamelCase__=None ,   lowerCamelCase__=None ,   lowerCamelCase__="<|endoftext|>" ,   lowerCamelCase__="<|endoftext|>" ,   lowerCamelCase__="<|endoftext|>" ,   lowerCamelCase__=False ,   **lowerCamelCase__ ,   ):

      '''simple docstring'''







      super().__init__(
          lowerCamelCase__ ,   lowerCamelCase__ ,   tokenizer_file=lowerCamelCase__ ,   unk_token=lowerCamelCase__ ,   bos_token=lowerCamelCase__ ,   eos_token=lowerCamelCase__ ,   add_prefix_space=lowerCamelCase__ ,   **lowerCamelCase__ ,   )

      if kwargs.pop('''add_bos_token''' ,   lowerCamelCase__   ):
         UpperCamelCase       =  kwargs.pop('''name_or_path''' ,   ''''''   )
         raise ValueError(
             '''Currenty GPT2\'s fast tokenizer does NOT support adding a BOS token.'''
             '''Instead you should use GPT2\'s slow tokenizer class `CodeGenTokenizer` as follows: \n'''
             f'`CodeGenTokenizer.from_pretrained(\'{model_id}\')`\nor\n'
             f'`AutoTokenizer.from_pretrained(\'{model_id}\', use_fast=False)`\n'
             '''This issue will be fixed soon, see: https://github.com/huggingface/tokenizers/pull/1005.'''
             ''' so that the fast tokenizer works correctly.'''   )

      UpperCamelCase       =  json.loads(self.backend_tokenizer.pre_tokenizer.__getstate__()   )
      if pre_tok_state.get('''add_prefix_space''' ,   lowerCamelCase__   ) != add_prefix_space:
         UpperCamelCase       =  getattr(lowerCamelCase__ ,   pre_tok_state.pop('''type'''   )   )
         UpperCamelCase       =  add_prefix_space
         UpperCamelCase       =  pre_tok_class(**lowerCamelCase__   )

      UpperCamelCase       =  add_prefix_space







   def       UpperCAmelCase				(			self ,   *lowerCamelCase__ ,   **lowerCamelCase__   ):

      '''simple docstring'''







      UpperCamelCase       =  kwargs.get('''is_split_into_words''' ,   lowerCamelCase__   )
      assert self.add_prefix_space or not is_split_into_words, (
          f'You need to instantiate {self.__class__.__name__} with add_prefix_space=True '
          "to use it with pretokenized inputs."
      )

      return super()._batch_encode_plus(*lowerCamelCase__ ,   **lowerCamelCase__   )







   def       UpperCAmelCase				(			self ,   *lowerCamelCase__ ,   **lowerCamelCase__   ):

      '''simple docstring'''







      UpperCamelCase       =  kwargs.get('''is_split_into_words''' ,   lowerCamelCase__   )

      assert self.add_prefix_space or not is_split_into_words, (
          f'You need to instantiate {self.__class__.__name__} with add_prefix_space=True '
          "to use it with pretokenized inputs."
      )

      return super()._encode_plus(*lowerCamelCase__ ,   **lowerCamelCase__   )







   def       UpperCAmelCase				(			self ,   lowerCamelCase__ ,   lowerCamelCase__ = None   ):

      '''simple docstring'''







      UpperCamelCase       =  self._tokenizer.model.save(lowerCamelCase__ ,   name=lowerCamelCase__   )
      return tuple(lowerCamelCase__   )







   def       UpperCAmelCase				(			self ,   lowerCamelCase__ ,   lowerCamelCase__ = False ,   lowerCamelCase__ = None ,   lowerCamelCase__ = None ,   **lowerCamelCase__ ,   ):

      '''simple docstring'''







      UpperCamelCase       =  super().decode(
          token_ids=lowerCamelCase__ ,   skip_special_tokens=lowerCamelCase__ ,   clean_up_tokenization_spaces=lowerCamelCase__ ,   **lowerCamelCase__ ,   )

      if truncate_before_pattern is not None and len(lowerCamelCase__   ) > 0:
         UpperCamelCase       =  self.truncate(lowerCamelCase__ ,   lowerCamelCase__   )

      return decoded_text







   def       UpperCAmelCase				(			self ,   lowerCamelCase__ ,   lowerCamelCase__   ):

      '''simple docstring'''







      def find_re(lowerCamelCase__ ,   lowerCamelCase__ ,   lowerCamelCase__   ):
         UpperCamelCase       =  pattern.search(lowerCamelCase__ ,   lowerCamelCase__   )
         return m.start() if m else -1

      UpperCamelCase       =  [re.compile(lowerCamelCase__ ,   re.MULTILINE   ) for pattern in truncate_before_pattern]

      UpperCamelCase       =  list(re.finditer('''^print''' ,   lowerCamelCase__ ,   re.MULTILINE   )   )

      if len(lowerCamelCase__   ) > 1:
         UpperCamelCase       =  completion[: prints[1].start()]

      UpperCamelCase       =  list(re.finditer('''^def''' ,   lowerCamelCase__ ,   re.MULTILINE   )   )

      if len(lowerCamelCase__   ) > 1:
         UpperCamelCase       =  completion[: defs[1].start()]

      UpperCamelCase       =  0

      UpperCamelCase       =  [
          pos for pos in [find_re(lowerCamelCase__ ,   lowerCamelCase__ ,   lowerCamelCase__   ) for terminal in terminals] if pos != -1
      ]

      if len(lowerCamelCase__   ) > 0:
         return completion[: min(lowerCamelCase__   )]
      else:
         return completion







'''simple docstring'''


def  __snake_case     (    _UpperCAmelCase					:       Optional[int]):
   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  __snake_case     (    _UpperCAmelCase					:       str):
   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__":
   snake_case_ :  str     =					input('\nEnter an Infix Equation = ')  # Input an Infix equation
   snake_case_ :  Union[str, Any]     =					''.join(Infix.split())  # Remove spaces from the input
   print('\n\t', Infix, '(Infix) -> ', infix_2_prefix(Infix), '(Prefix)')





