



"""simple docstring"""
import json
from typing import List, Optional, Tuple

from tokenizers import normalizers

from ...tokenization_utils import AddedToken
from ...tokenization_utils_fast import PreTrainedTokenizerFast
from ...utils import logging
from .tokenization_mpnet import MPNetTokenizer


__a           =							logging.get_logger(__name__)

__a           =							{"vocab_file": "vocab.txt", "tokenizer_file": "tokenizer.json"}

__a           =							{
    "vocab_file": {
        "microsoft/mpnet-base": "https://huggingface.co/microsoft/mpnet-base/resolve/main/vocab.txt",
    },
    "tokenizer_file": {
        "microsoft/mpnet-base": "https://huggingface.co/microsoft/mpnet-base/resolve/main/tokenizer.json",
    },
}

__a           =							{
    "microsoft/mpnet-base": 5_12,
}

__a           =							{
    "microsoft/mpnet-base": {"do_lower_case": True},
}
class 							lowerCamelCase    (     _lowerCAmelCase							):






					'''simple docstring'''





					_A						:     Union[str, Any]		=	VOCAB_FILES_NAMES
					_A						:     Optional[Any]		=	PRETRAINED_VOCAB_FILES_MAP
					_A						:     Dict		=	PRETRAINED_INIT_CONFIGURATION
					_A						:     List[str]		=	PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
					_A						:     List[Any]		=	MPNetTokenizer
					_A						:     Tuple		=	["""input_ids""", """attention_mask"""]






					def __init__(			self:				List[Any]		,	snake_case:				str=None		,	snake_case:				Dict=None		,	snake_case:				List[str]=True		,	snake_case:				Optional[Any]="<s>"		,	snake_case:				int="</s>"		,	snake_case:				int="</s>"		,	snake_case:				Tuple="<s>"		,	snake_case:				Optional[Any]="[UNK]"		,	snake_case:				int="<pad>"		,	snake_case:				Dict="<mask>"		,	snake_case:				int=True		,	snake_case:				List[str]=None		,	**snake_case:				str		,	)  ->      int:
											super().__init__(
											    snake_case		,	tokenizer_file=snake_case		,	do_lower_case=snake_case		,	bos_token=snake_case		,	eos_token=snake_case		,	sep_token=snake_case		,	cls_token=snake_case		,	unk_token=snake_case		,	pad_token=snake_case		,	mask_token=snake_case		,	tokenize_chinese_chars=snake_case		,	strip_accents=snake_case		,	**snake_case		,	)

											snake_case_					:Union[str, Any]		=     json.loads(self.backend_tokenizer.normalizer.__getstate__()		)
											if (
											    pre_tok_state.get("""lowercase"""		,	snake_case		) != do_lower_case
											    or pre_tok_state.get("""strip_accents"""		,	snake_case		) != strip_accents
											):
																	snake_case_					:Union[str, Any]		=     getattr(snake_case		,	pre_tok_state.pop("""type"""		)		)
																	snake_case_					:List[str]		=     do_lower_case
																	snake_case_					:Union[str, Any]		=     strip_accents
																	snake_case_					:Tuple		=     pre_tok_class(**snake_case		)

											snake_case_					:int		=     do_lower_case






					@property
					def   lowerCAmelCase_							(			self:				Optional[Any]		)  ->      str:
											if self._mask_token is None:
																	if self.verbose:
																							logger.error("""Using mask_token, but it is not set yet."""		)
																	return None
											return str(self._mask_token		)






					@mask_token.setter
					def   lowerCAmelCase_							(			self:				Dict		,	snake_case:				int		)  ->      Optional[int]:
											snake_case_					:int		=     AddedToken(snake_case		,	lstrip=snake_case		,	rstrip=snake_case		) if isinstance(snake_case		,	snake_case		) else value
											snake_case_					:int		=     value






					def   lowerCAmelCase_							(			self:				Tuple		,	snake_case:				Optional[int]		,	snake_case:				int=None		)  ->      Optional[Any]:
											snake_case_					:List[Any]		=     [self.bos_token_id] + token_ids_a + [self.eos_token_id]
											if token_ids_a is None:
																	return output

											return output + [self.eos_token_id] + token_ids_a + [self.eos_token_id]






					def   lowerCAmelCase_							(			self:				Optional[int]		,	snake_case:				List[int]		,	snake_case:				Optional[List[int]] = None		)  ->      List[int]:
											snake_case_					:Optional[Any]		=     [self.sep_token_id]
											snake_case_					:Union[str, Any]		=     [self.cls_token_id]

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






					def   lowerCAmelCase_							(			self:				Dict		,	snake_case:				str		,	snake_case:				Optional[str] = None		)  ->      Tuple[str]:
											snake_case_					:Optional[Any]		=     self._tokenizer.model.save(snake_case		,	name=snake_case		)
											return tuple(snake_case		)






import numpy as np
from cva import destroyAllWindows, imread, imshow, waitKey






class       A      :
     """simple docstring"""

     def __init__(     self	: int						,	A__	: List[Any]						,	A__	: int      )					->							List[str]:
           lowerCamelCase__   	=					0
           # max greyscale value for #FFFFFF
           lowerCamelCase__   	=					int(self.get_greyscale(2_5_5						,	2_5_5						,	2_5_5      )      )

           if not self.min_threshold < threshold < self.max_threshold:
                 lowerCamelCase__   	=					F"""Factor value should be from 0 to {self.max_threshold}"""
                 raise ValueError(A__      )

           lowerCamelCase__   	=					input_img
           lowerCamelCase__   	=					threshold
           lowerCamelCase__	,		lowerCamelCase__   	=					self.input_img.shape[1], self.input_img.shape[0]

           # error table size (+4 columns and +1 row) greater than input image because of
           # lack of if statements
           lowerCamelCase__   	=					[
               [0 for _ in range(self.height + 4      )] for __ in range(self.width + 1      )
           ]
           lowerCamelCase__   	=					np.ones((self.width, self.height, 3)						,	np.uinta      ) * 2_5_5




     @classmethod
     def 			__snake_case (     cls	: int						,	A__	: int						,	A__	: int						,	A__	: int      )					->							float:
           return 0.114 * blue + 0.587 * green + 0.2126 * red




     def 			__snake_case (     self	: List[Any]      )					->							None:
           for y in range(self.height      ):
                 for x in range(self.width      ):
                       lowerCamelCase__   	=					int(self.get_greyscale(*self.input_img[y][x]      )      )
                       if self.threshold > greyscale + self.error_table[y][x]:
                             lowerCamelCase__   	=					(0, 0, 0)
                             lowerCamelCase__   	=					greyscale + self.error_table[x][y]
                       else:
                             lowerCamelCase__   	=					(2_5_5, 2_5_5, 2_5_5)
                             lowerCamelCase__   	=					greyscale + self.error_table[x][y] - 2_5_5
                       self.error_table[y][x + 1] += int(8 / 3_2 * current_error      )
                       self.error_table[y][x + 2] += int(4 / 3_2 * current_error      )
                       self.error_table[y + 1][x] += int(8 / 3_2 * current_error      )
                       self.error_table[y + 1][x + 1] += int(4 / 3_2 * current_error      )
                       self.error_table[y + 1][x + 2] += int(2 / 3_2 * current_error      )
                       self.error_table[y + 1][x - 1] += int(4 / 3_2 * current_error      )
                       self.error_table[y + 1][x - 2] += int(2 / 3_2 * current_error      )


if __name__ == "__main__":
      # create Burke's instances with original images in greyscale
      __SCREAMING_SNAKE_CASE     : Optional[Any]      =[
          Burkes(imread("""image_data/lena.jpg""", 1), threshold)
          for threshold in (1, 126, 130, 140)
      ]

      for burkes in burkes_instances:
            burkes.process()

      for burkes in burkes_instances:
            imshow(
                F"""Original image with dithering threshold: {burkes.threshold}""",
                burkes.output_img,
            )

      waitKey(0)
      destroyAllWindows()