




'''simple docstring'''


import warnings
from typing import Dict, List, Optional, Tuple

from ...tokenization_utils import AddedToken, PreTrainedTokenizer
from ...utils import logging


_lowerCAmelCase  		=      logging.get_logger(__name__)
class   __A (							snake_case_  ):



   """simple docstring"""







   A_												=				['''input_ids''', '''attention_mask''']

   def __init__(      self				, _lowerCamelCase="</s>"				, _lowerCamelCase="<unk>"				, _lowerCamelCase="<pad>"				, _lowerCamelCase=1_2_5				, _lowerCamelCase=None				, **_lowerCamelCase				, )->       List[str]:







      if extra_ids > 0 and additional_special_tokens is None:
         lowercase__       							=							[f'''<extra_id_{i}>''' for i in range(__lowercase						)]
      elif extra_ids > 0 and additional_special_tokens is not None:
         # Check that we have the right number of extra_id special tokens
         lowercase__       							=							len(set(filter(lambda _lowerCamelCase						: bool('''extra_id''' in str(__lowercase						)						)				, __lowercase						)						)						)
         if extra_tokens != extra_ids:
            raise ValueError(
                f'''Both extra_ids ({extra_ids}) and additional_special_tokens ({additional_special_tokens}) are'''
                ''' provided to ByT5Tokenizer. In this case the additional_special_tokens must include the'''
                ''' extra_ids tokens'''						)

      lowercase__       							=							AddedToken(__lowercase				, lstrip=__lowercase				, rstrip=__lowercase						) if isinstance(__lowercase				, __lowercase						) else pad_token
      lowercase__       							=							AddedToken(__lowercase				, lstrip=__lowercase				, rstrip=__lowercase						) if isinstance(__lowercase				, __lowercase						) else eos_token
      lowercase__       							=							AddedToken(__lowercase				, lstrip=__lowercase				, rstrip=__lowercase						) if isinstance(__lowercase				, __lowercase						) else unk_token

      super().__init__(
          eos_token=__lowercase				, unk_token=__lowercase				, pad_token=__lowercase				, extra_ids=__lowercase				, additional_special_tokens=__lowercase				, **__lowercase				, )

      lowercase__       							=							extra_ids

      lowercase__       							=							2**8  # utf is 8 bits

      # define special tokens dict
      lowercase__       							=							{
          self.pad_token: 0,
          self.eos_token: 1,
          self.unk_token: 2,
      }
      lowercase__       							=							len(self.special_tokens_encoder						)
      lowercase__       							=							len(__lowercase						)
      for i, token in enumerate(__lowercase						):
         lowercase__       							=							self.vocab_size + i - n
      lowercase__       							=							{v: k for k, v in self.special_tokens_encoder.items()}

   @property
   def snake_case_(      self						)->       Tuple:
      return self._utf_vocab_size + self._num_special_tokens + self._extra_ids

   def snake_case_(      self				, _lowerCamelCase				, _lowerCamelCase = None				, _lowerCamelCase = False						)->       Union[str, Any]:







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

      # normal case: some special tokens
      if token_ids_a is None:
         return ([0] * len(__lowercase						)) + [1]
      return ([0] * len(__lowercase						)) + [1] + ([0] * len(__lowercase						)) + [1]

   def snake_case_(      self				, _lowerCamelCase						)->       Optional[int]:







      if len(__lowercase						) > 0 and token_ids[-1] == self.eos_token_id:
         warnings.warn(
             f'''This sequence already has {self.eos_token}. In future versions this behavior may lead to duplicated'''
             ''' eos tokens being added.'''						)
         return token_ids
      else:
         return token_ids + [self.eos_token_id]

   def snake_case_(      self				, _lowerCamelCase				, _lowerCamelCase = None						)->       Any:
      lowercase__       							=							[self.eos_token_id]

      if token_ids_a is None:
         return len(token_ids_a + eos						) * [0]
      return len(token_ids_a + eos + token_ids_a + eos						) * [0]

   def snake_case_(      self				, _lowerCamelCase				, _lowerCamelCase = None						)->       Union[str, Any]:
      lowercase__       							=							self._add_eos_if_not_present(__lowercase						)
      if token_ids_a is None:
         return token_ids_a
      else:
         lowercase__       							=							self._add_eos_if_not_present(__lowercase						)
         return token_ids_a + token_ids_a

   def snake_case_(      self				, _lowerCamelCase						)->       List[str]:
      lowercase__       							=							[chr(__lowercase						) for i in text.encode('''utf-8'''						)]
      return tokens

   def snake_case_(      self				, _lowerCamelCase						)->       List[str]:







      if token in self.special_tokens_encoder:
         lowercase__       							=							self.special_tokens_encoder[token]
      elif token in self.added_tokens_encoder:
         lowercase__       							=							self.added_tokens_encoder[token]
      elif len(__lowercase						) != 1:
         lowercase__       							=							self.unk_token_id
      else:
         lowercase__       							=							ord(__lowercase						) + self._num_special_tokens
      return token_id

   def snake_case_(      self				, _lowerCamelCase						)->       Any:







      if index in self.special_tokens_decoder:
         lowercase__       							=							self.special_tokens_decoder[index]
      else:
         lowercase__       							=							chr(index - self._num_special_tokens						)
      return token

   def snake_case_(      self				, _lowerCamelCase						)->       str:
      lowercase__       							=							b''
      for token in tokens:
         if token in self.special_tokens_decoder:
            lowercase__       							=							self.special_tokens_decoder[token].encode('''utf-8'''						)
         elif token in self.added_tokens_decoder:
            lowercase__       							=							self.special_tokens_decoder[token].encode('''utf-8'''						)
         elif token in self.special_tokens_encoder:
            lowercase__       							=							token.encode('''utf-8'''						)
         elif token in self.added_tokens_encoder:
            lowercase__       							=							token.encode('''utf-8'''						)
         else:
            lowercase__       							=							bytes([ord(__lowercase						)]						)
         bstring += tok_string
      lowercase__       							=							bstring.decode('''utf-8'''				, errors='''ignore'''						)
      return string

   def snake_case_(      self				, _lowerCamelCase				, _lowerCamelCase = None						)->       Union[str, Any]:
      return ()








'''simple docstring'''
import numpy as np
from cva import destroyAllWindows, imread, imshow, waitKey

class     _lowerCamelCase       :




 '''simple docstring'''


 def __init__(   self   ,   __lowercase   ,   __lowercase   ,   __lowercase    ):

  """simple docstring"""







  if dst_width < 0 or dst_height < 0:
   raise ValueError('Destination width/height should be > 0'    )

  __A	:		Dict	  =      img
  __A	:		Dict	  =      img.shape[1]
  __A	:		Tuple	  =      img.shape[0]
  __A	:		List[str]	  =      dst_width
  __A	:		Tuple	  =      dst_height

  __A	:		Optional[Any]	  =      self.src_w / self.dst_w
  __A	:		List[str]	  =      self.src_h / self.dst_h

  __A	:		Dict	  =      (
      np.ones((self.dst_h, self.dst_w, 3)   ,   np.uinta    ) * 255
  )


 def 			snake_case__ (   self    ):

  """simple docstring"""







  for i in range(self.dst_h    ):
   for j in range(self.dst_w    ):
    __A	:		List[str]	  =      self.img[self.get_y(__lowercase    )][self.get_x(__lowercase    )]


 def 			snake_case__ (   self   ,   __lowercase    ):

  """simple docstring"""







  return int(self.ratio_x * x    )







 def 			snake_case__ (   self   ,   __lowercase    ):

  """simple docstring"""







  return int(self.ratio_y * y    )


if __name__ == "__main__":
 UpperCAmelCase_				,      UpperCAmelCase_			:  str										=   8_0_0, 6_0_0
 UpperCAmelCase_			:  str										=   imread('image_data/lena.jpg', 1)
 UpperCAmelCase_			:  List[str]										=   NearestNeighbour(im, dst_w, dst_h)
 n.process()

 imshow(
     f'''Image resized from: {im.shape[1]}x{im.shape[0]} to {dst_w}x{dst_h}''', n.output
 )
 waitKey(0)
 destroyAllWindows()






