
import json
from typing import List, Optional, Tuple

from tokenizers import normalizers

from ...tokenization_utils_fast import PreTrainedTokenizerFast
from ...utils import logging
from .tokenization_layoutlm import LayoutLMTokenizer


lowercase__				:				Dict						=      logging.get_logger(__name__)

lowercase__				:				List[Any]						=      {"vocab_file": "vocab.txt", "tokenizer_file": "tokenizer.json"}

lowercase__				:				Tuple						=      {
    "vocab_file": {
        "microsoft/layoutlm-base-uncased": (
            "https://huggingface.co/microsoft/layoutlm-base-uncased/resolve/main/vocab.txt"
        ),
        "microsoft/layoutlm-large-uncased": (
            "https://huggingface.co/microsoft/layoutlm-large-uncased/resolve/main/vocab.txt"
        ),
    },
    "tokenizer_file": {
        "microsoft/layoutlm-base-uncased": (
            "https://huggingface.co/microsoft/layoutlm-base-uncased/resolve/main/tokenizer.json"
        ),
        "microsoft/layoutlm-large-uncased": (
            "https://huggingface.co/microsoft/layoutlm-large-uncased/resolve/main/tokenizer.json"
        ),
    },
}

lowercase__				:				int						=      {
    "microsoft/layoutlm-base-uncased": 5_1_2,
    "microsoft/layoutlm-large-uncased": 5_1_2,
}

lowercase__				:				Tuple						=      {
    "microsoft/layoutlm-base-uncased": {"do_lower_case": True},
    "microsoft/layoutlm-large-uncased": {"do_lower_case": True},
}






class 							SCREAMING_SNAKE_CASE__     (				SCREAMING_SNAKE_CASE_     ):

							"""simple docstring"""






							_snake_case  		=	VOCAB_FILES_NAMES
							_snake_case  		=	PRETRAINED_VOCAB_FILES_MAP
							_snake_case  		=	PRETRAINED_INIT_CONFIGURATION
							_snake_case  		=	PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
							_snake_case  		=	LayoutLMTokenizer



							def __init__(	self  ,						SCREAMING_SNAKE_CASE_=None  ,						SCREAMING_SNAKE_CASE_=None  ,						SCREAMING_SNAKE_CASE_=True  ,						SCREAMING_SNAKE_CASE_="[UNK]"  ,						SCREAMING_SNAKE_CASE_="[SEP]"  ,						SCREAMING_SNAKE_CASE_="[PAD]"  ,						SCREAMING_SNAKE_CASE_="[CLS]"  ,						SCREAMING_SNAKE_CASE_="[MASK]"  ,						SCREAMING_SNAKE_CASE_=True  ,						SCREAMING_SNAKE_CASE_=None  ,						**SCREAMING_SNAKE_CASE_  ,						)-> Tuple:





													'''simple docstring'''






													super().__init__(
													    SCREAMING_SNAKE_CASE_  ,						tokenizer_file=SCREAMING_SNAKE_CASE_  ,						do_lower_case=SCREAMING_SNAKE_CASE_  ,						unk_token=SCREAMING_SNAKE_CASE_  ,						sep_token=SCREAMING_SNAKE_CASE_  ,						pad_token=SCREAMING_SNAKE_CASE_  ,						cls_token=SCREAMING_SNAKE_CASE_  ,						mask_token=SCREAMING_SNAKE_CASE_  ,						tokenize_chinese_chars=SCREAMING_SNAKE_CASE_  ,						strip_accents=SCREAMING_SNAKE_CASE_  ,						**SCREAMING_SNAKE_CASE_  ,						)

													__UpperCamelCase  	=      json.loads(self.backend_tokenizer.normalizer.__getstate__()      )
													if (
													    normalizer_state.get('''lowercase'''  ,						SCREAMING_SNAKE_CASE_      ) != do_lower_case
													    or normalizer_state.get('''strip_accents'''  ,						SCREAMING_SNAKE_CASE_      ) != strip_accents
													    or normalizer_state.get('''handle_chinese_chars'''  ,						SCREAMING_SNAKE_CASE_      ) != tokenize_chinese_chars
													):
																			__UpperCamelCase  	=      getattr(SCREAMING_SNAKE_CASE_  ,						normalizer_state.pop('''type'''      )      )
																			__UpperCamelCase  	=      do_lower_case
																			__UpperCamelCase  	=      strip_accents
																			__UpperCamelCase  	=      tokenize_chinese_chars
																			__UpperCamelCase  	=      normalizer_class(**SCREAMING_SNAKE_CASE_      )

													__UpperCamelCase  	=      do_lower_case



							def      A__		(	self  ,						SCREAMING_SNAKE_CASE_  ,						SCREAMING_SNAKE_CASE_=None      )-> Dict:





													'''simple docstring'''






													__UpperCamelCase  	=      [self.cls_token_id] + token_ids_a + [self.sep_token_id]

													if token_ids_a:
																			output += token_ids_a + [self.sep_token_id]

													return output



							def      A__		(	self  ,						SCREAMING_SNAKE_CASE_  ,						SCREAMING_SNAKE_CASE_ = None      )-> List[int]:





													'''simple docstring'''






													__UpperCamelCase  	=      [self.sep_token_id]
													__UpperCamelCase  	=      [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      ) * [0] + len(token_ids_a + sep      ) * [1]



							def      A__		(	self  ,						SCREAMING_SNAKE_CASE_  ,						SCREAMING_SNAKE_CASE_ = None      )-> Tuple[str]:





													'''simple docstring'''






													__UpperCamelCase  	=      self._tokenizer.model.save(SCREAMING_SNAKE_CASE_  ,						name=SCREAMING_SNAKE_CASE_      )
													return tuple(SCREAMING_SNAKE_CASE_      )












"""simple docstring"""

from cva import destroyAllWindows, imread, imshow, waitKey






def _lowerCAmelCase						(	__lowerCamelCase:Tuple			,    __lowerCamelCase:int ):

						'''simple docstring'''






						__magic_name__   ,     __magic_name__      =  img.shape[0], img.shape[1]

						def to_grayscale(__lowerCamelCase:List[str]			,    __lowerCamelCase:Optional[Any]			,    __lowerCamelCase:int ):
												return 0.2_1_2_6 * red + 0.5_8_7 * green + 0.1_1_4 * blue

						def normalize(__lowerCamelCase:Union[str, Any] ):
												return min(__lowerCamelCase			,    2_5_5 )

						for i in range(__lowerCamelCase ):
												for j in range(__lowerCamelCase ):
																		__magic_name__      =  int(to_grayscale(*img[i][j] ) )
																		__magic_name__      =  [
																		    normalize(__lowerCamelCase ),
																		    normalize(greyscale + factor ),
																		    normalize(greyscale + 2 * factor ),
																		]

						return img


if __name__ == "__main__":
			# read original image
			lowercase           =							{
			    percentage: imread('''image_data/lena.jpg''', 1) for percentage in (10, 20, 30, 40)
			}

			for percentage, img in images.items():
						make_sepia(img, percentage)

			for percentage, img in images.items():
						imshow(f'''Original image with sepia (factor: {percentage})''', img)

			waitKey(0)
			destroyAllWindows()



