





'''simple docstring'''

import warnings

from transformers import AutoTokenizer
from transformers.utils import is_torch_available
from transformers.utils.generic import ExplicitEnum

from ...processing_utils import ProcessorMixin


if is_torch_available():
    import torch







class __a (   _snake_case			):
   __UpperCamelCase   : Tuple	      =	'char'
   __UpperCamelCase   : Optional[Any]	      =	'bpe'
   __UpperCamelCase   : Tuple	      =	'wp'





a        =						(DecodeType.CHARACTER, DecodeType.BPE, DecodeType.WORDPIECE)







class __a (   _snake_case			):
   __UpperCamelCase   : int	      =	['image_processor', 'char_tokenizer']
   __UpperCamelCase   : int	      =	'ViTImageProcessor'
   __UpperCamelCase   : Optional[Any]	      =	'MgpstrTokenizer'





   def __init__(					self				:			Union[str, Any]				,lowerCamelCase				:			Union[str, Any]=None				,lowerCamelCase				:			int=None				,**lowerCamelCase				:			Optional[Any]    ):

      '''simple docstring'''

      __SCREAMING_SNAKE_CASE      							=       None
      if "feature_extractor" in kwargs:
         warnings.warn(
             """The `feature_extractor` argument is deprecated and will be removed in v5, use `image_processor`"""
             """ instead."""				,lowerCamelCase				,)
         __SCREAMING_SNAKE_CASE      							=       kwargs.pop("""feature_extractor"""    )

      __SCREAMING_SNAKE_CASE      							=       image_processor if image_processor is not None else feature_extractor
      if image_processor is None:
         raise ValueError("""You need to specify an `image_processor`."""    )
      if tokenizer is None:
         raise ValueError("""You need to specify a `tokenizer`."""    )

      __SCREAMING_SNAKE_CASE      							=       tokenizer
      __SCREAMING_SNAKE_CASE      							=       AutoTokenizer.from_pretrained("""gpt2"""    )
      __SCREAMING_SNAKE_CASE      							=       AutoTokenizer.from_pretrained("""bert-base-uncased"""    )

      super().__init__(lowerCamelCase				,lowerCamelCase    )





   def __call__(					self				:			int				,lowerCamelCase				:			Optional[Any]=None				,lowerCamelCase				:			int=None				,lowerCamelCase				:			Any=None				,**lowerCamelCase				:			Any    ):

      '''simple docstring'''

      if images is None and text is None:
         raise ValueError("""You need to specify either an `images` or `text` input to process."""    )

      if images is not None:
         __SCREAMING_SNAKE_CASE      							=       self.image_processor(lowerCamelCase				,return_tensors=lowerCamelCase				,**lowerCamelCase    )
      if text is not None:
         __SCREAMING_SNAKE_CASE      							=       self.char_tokenizer(lowerCamelCase				,return_tensors=lowerCamelCase				,**lowerCamelCase    )

      if text is None:
         return inputs
      elif images is None:
         return encodings
      else:
         __SCREAMING_SNAKE_CASE      							=       encodings["""input_ids"""]
         return inputs





   def      UpperCAmelCase__     (					self				:			Union[str, Any]				,lowerCamelCase				:			List[Any]    ):

      '''simple docstring'''

      __SCREAMING_SNAKE_CASE							,     __SCREAMING_SNAKE_CASE							,     __SCREAMING_SNAKE_CASE      							=       sequences
      __SCREAMING_SNAKE_CASE      							=       char_preds.size(0    )

      __SCREAMING_SNAKE_CASE							,     __SCREAMING_SNAKE_CASE      							=       self._decode_helper(lowerCamelCase				,"""char"""    )
      __SCREAMING_SNAKE_CASE							,     __SCREAMING_SNAKE_CASE      							=       self._decode_helper(lowerCamelCase				,"""bpe"""    )
      __SCREAMING_SNAKE_CASE							,     __SCREAMING_SNAKE_CASE      							=       self._decode_helper(lowerCamelCase				,"""wp"""    )

      __SCREAMING_SNAKE_CASE      							=       []
      __SCREAMING_SNAKE_CASE      							=       []
      for i in range(lowerCamelCase    ):
         __SCREAMING_SNAKE_CASE      							=       [char_scores[i], bpe_scores[i], wp_scores[i]]
         __SCREAMING_SNAKE_CASE      							=       [char_strs[i], bpe_strs[i], wp_strs[i]]
         __SCREAMING_SNAKE_CASE      							=       scores.index(max(lowerCamelCase    )    )
         final_strs.append(strs[max_score_index]    )
         final_scores.append(scores[max_score_index]    )

      __SCREAMING_SNAKE_CASE      							=       {}
      __SCREAMING_SNAKE_CASE      							=       final_strs
      __SCREAMING_SNAKE_CASE      							=       final_scores
      __SCREAMING_SNAKE_CASE      							=       char_strs
      __SCREAMING_SNAKE_CASE      							=       bpe_strs
      __SCREAMING_SNAKE_CASE      							=       wp_strs
      return out





   def      UpperCAmelCase__     (					self				:			Optional[Any]				,lowerCamelCase				:			List[Any]				,lowerCamelCase				:			str    ):

      '''simple docstring'''

      if format == DecodeType.CHARACTER:
         __SCREAMING_SNAKE_CASE      							=       self.char_decode
         __SCREAMING_SNAKE_CASE      							=       1
         __SCREAMING_SNAKE_CASE      							=       """[s]"""
      elif format == DecodeType.BPE:
         __SCREAMING_SNAKE_CASE      							=       self.bpe_decode
         __SCREAMING_SNAKE_CASE      							=       2
         __SCREAMING_SNAKE_CASE      							=       """#"""
      elif format == DecodeType.WORDPIECE:
         __SCREAMING_SNAKE_CASE      							=       self.wp_decode
         __SCREAMING_SNAKE_CASE      							=       102
         __SCREAMING_SNAKE_CASE      							=       """[SEP]"""
      else:
         raise ValueError(f"""Format {format} is not supported."""    )

      __SCREAMING_SNAKE_CASE							,     __SCREAMING_SNAKE_CASE      							=       [], []
      __SCREAMING_SNAKE_CASE      							=       pred_logits.size(0    )
      __SCREAMING_SNAKE_CASE      							=       pred_logits.size(1    )
      __SCREAMING_SNAKE_CASE							,     __SCREAMING_SNAKE_CASE      							=       pred_logits.topk(1				,dim=-1				,largest=lowerCamelCase				,sorted=lowerCamelCase    )
      __SCREAMING_SNAKE_CASE      							=       preds_index.view(-1				,lowerCamelCase    )[:, 1:]
      __SCREAMING_SNAKE_CASE      							=       decoder(lowerCamelCase    )
      __SCREAMING_SNAKE_CASE							,     __SCREAMING_SNAKE_CASE      							=       torch.nn.functional.softmax(lowerCamelCase				,dim=2    ).max(dim=2    )
      __SCREAMING_SNAKE_CASE      							=       preds_max_prob[:, 1:]

      for index in range(lowerCamelCase    ):
         __SCREAMING_SNAKE_CASE      							=       preds_str[index].find(lowerCamelCase    )
         __SCREAMING_SNAKE_CASE      							=       preds_str[index][:pred_eos]
         __SCREAMING_SNAKE_CASE      							=       preds_index[index].cpu().tolist()
         __SCREAMING_SNAKE_CASE      							=       pred_index.index(lowerCamelCase    ) if eos_token in pred_index else -1
         __SCREAMING_SNAKE_CASE      							=       preds_max_prob[index][: pred_eos_index + 1]
         __SCREAMING_SNAKE_CASE      							=       pred_max_prob.cumprod(dim=0    )[-1] if pred_max_prob.nelement() != 0 else 0.0
         dec_strs.append(lowerCamelCase    )
         conf_scores.append(lowerCamelCase    )

      return dec_strs, conf_scores





   def      UpperCAmelCase__     (					self				:			str				,lowerCamelCase				:			Tuple    ):

      '''simple docstring'''

      __SCREAMING_SNAKE_CASE      							=       [seq.replace(""" """				,""""""    ) for seq in self.char_tokenizer.batch_decode(lowerCamelCase    )]
      return decode_strs





   def      UpperCAmelCase__     (					self				:			List[Any]				,lowerCamelCase				:			List[str]    ):

      '''simple docstring'''

      return self.bpe_tokenizer.batch_decode(lowerCamelCase    )





   def      UpperCAmelCase__     (					self				:			Tuple				,lowerCamelCase				:			str    ):

      '''simple docstring'''

      __SCREAMING_SNAKE_CASE      							=       [seq.replace(""" """				,""""""    ) for seq in self.wp_tokenizer.batch_decode(lowerCamelCase    )]
      return decode_strs












'''simple docstring'''

import os
import string
import sys


a        =						1 << 8

a        =						{
    "tab": ord("\t"),
    "newline": ord("\r"),
    "esc": 27,
    "up": 65 + ARROW_KEY_FLAG,
    "down": 66 + ARROW_KEY_FLAG,
    "right": 67 + ARROW_KEY_FLAG,
    "left": 68 + ARROW_KEY_FLAG,
    "mod_int": 91,
    "undefined": sys.maxsize,
    "interrupt": 3,
    "insert": 50,
    "delete": 51,
    "pg_up": 53,
    "pg_down": 54,
}

a        =						KEYMAP["up"]
a        =						KEYMAP["left"]

if sys.platform == "win32":
    a        =						[]
    a        =						{
        b"\xe0H": KEYMAP["up"] - ARROW_KEY_FLAG,
        b"\x00H": KEYMAP["up"] - ARROW_KEY_FLAG,
        b"\xe0P": KEYMAP["down"] - ARROW_KEY_FLAG,
        b"\x00P": KEYMAP["down"] - ARROW_KEY_FLAG,
        b"\xe0M": KEYMAP["right"] - ARROW_KEY_FLAG,
        b"\x00M": KEYMAP["right"] - ARROW_KEY_FLAG,
        b"\xe0K": KEYMAP["left"] - ARROW_KEY_FLAG,
        b"\x00K": KEYMAP["left"] - ARROW_KEY_FLAG,
    }

for i in range(10):
    a        =						ord(str(i))

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

   '''simple docstring'''







   if os.name == "nt":
      import msvcrt

      __SCREAMING_SNAKE_CASE      							=       """mbcs"""
      # Flush the keyboard buffer
      while msvcrt.kbhit():
         msvcrt.getch()
      if len(__UpperCAmelCase      ) == 0:
         # Read the keystroke
         __SCREAMING_SNAKE_CASE      							=       msvcrt.getch()

         # If it is a prefix char, get second part
         if ch in (b"\x00", b"\xe0"):
            __SCREAMING_SNAKE_CASE      							=       ch + msvcrt.getch()
            # Translate actual Win chars to bullet char types
            try:
               __SCREAMING_SNAKE_CASE      							=       chr(WIN_KEYMAP[cha]      )
               WIN_CH_BUFFER.append(chr(KEYMAP["""mod_int"""]      )      )
               WIN_CH_BUFFER.append(__UpperCAmelCase      )
               if ord(__UpperCAmelCase      ) in (
                   KEYMAP["insert"] - 1 << 9,
                   KEYMAP["delete"] - 1 << 9,
                   KEYMAP["pg_up"] - 1 << 9,
                   KEYMAP["pg_down"] - 1 << 9,
               ):
                  WIN_CH_BUFFER.append(chr(126      )      )
               __SCREAMING_SNAKE_CASE      							=       chr(KEYMAP["""esc"""]      )
            except KeyError:
               __SCREAMING_SNAKE_CASE      							=       cha[1]
         else:
            __SCREAMING_SNAKE_CASE      							=       ch.decode(__UpperCAmelCase      )
      else:
         __SCREAMING_SNAKE_CASE      							=       WIN_CH_BUFFER.pop(0      )
   elif os.name == "posix":
      import termios
      import tty

      __SCREAMING_SNAKE_CASE      							=       sys.stdin.fileno()
      __SCREAMING_SNAKE_CASE      							=       termios.tcgetattr(__UpperCAmelCase      )
      try:
         tty.setraw(__UpperCAmelCase      )
         __SCREAMING_SNAKE_CASE      							=       sys.stdin.read(1      )
      finally:
         termios.tcsetattr(__UpperCAmelCase							,	termios.TCSADRAIN							,	__UpperCAmelCase      )
   return ch







def 						__magic_name__       (							)						->					List[str]:

   '''simple docstring'''







   __SCREAMING_SNAKE_CASE      							=       get_raw_chars()
   if ord(__UpperCAmelCase      ) in [KEYMAP["interrupt"], KEYMAP["newline"]]:
      return char

   elif ord(__UpperCAmelCase      ) == KEYMAP["esc"]:
      __SCREAMING_SNAKE_CASE      							=       get_raw_chars()
      if ord(__UpperCAmelCase      ) == KEYMAP["mod_int"]:
         __SCREAMING_SNAKE_CASE      							=       get_raw_chars()
         if ord(__UpperCAmelCase      ) >= KEYMAP["arrow_begin"] - ARROW_KEY_FLAG and ord(__UpperCAmelCase      ) <= KEYMAP["arrow_end"] - ARROW_KEY_FLAG:
            return chr(ord(__UpperCAmelCase      ) + ARROW_KEY_FLAG      )
         else:
            return KEYMAP["undefined"]
      else:
         return get_raw_chars()

   else:
      if char in string.printable:
         return char
      else:
         return KEYMAP["undefined"]





