"""simple docstring"""




import json
from typing import List, Optional, Tuple

from tokenizers import normalizers

from ....tokenization_utils_fast import PreTrainedTokenizerFast
from ....utils import logging
from .tokenization_retribert import RetriBertTokenizer


__lowerCAmelCase    :							Optional[int]													=						logging.get_logger(__name__)

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

__lowerCAmelCase    :							Union[str, Any]													=						{
    "vocab_file": {
        "yjernite/retribert-base-uncased": (
            "https://huggingface.co/yjernite/retribert-base-uncased/resolve/main/vocab.txt"
        ),
    },
    "tokenizer_file": {
        "yjernite/retribert-base-uncased": (
            "https://huggingface.co/yjernite/retribert-base-uncased/resolve/main/tokenizer.json"
        ),
    },
}

__lowerCAmelCase    :							Optional[Any]													=						{
    "yjernite/retribert-base-uncased": 5_12,
}


__lowerCAmelCase    :							List[str]													=						{
    "yjernite/retribert-base-uncased": {"do_lower_case": True},
}

class       a_      (     __UpperCamelCase			):
					UpperCamelCase_ :	Optional[int]			=    VOCAB_FILES_NAMES
					UpperCamelCase_ :	List[Any]			=    PRETRAINED_VOCAB_FILES_MAP
					UpperCamelCase_ :	str			=    PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
					UpperCamelCase_ :	int			=    PRETRAINED_INIT_CONFIGURATION
					UpperCamelCase_ :	List[str]			=    RetriBertTokenizer
					UpperCamelCase_ :	List[str]			=    ["input_ids", "attention_mask"]




					def __init__(	self						:     Tuple  ,						snake_case__						:     Union[str, Any]=None  ,						snake_case__						:     int=None  ,						snake_case__						:     Dict=True  ,						snake_case__						:     Union[str, Any]="[UNK]"  ,						snake_case__						:     Dict="[SEP]"  ,						snake_case__						:     Tuple="[PAD]"  ,						snake_case__						:     Optional[Any]="[CLS]"  ,						snake_case__						:     List[str]="[MASK]"  ,						snake_case__						:     str=True  ,						snake_case__						:     str=None  ,						**snake_case__						:     Dict  ,						):
							super().__init__(
							    snake_case__  ,						tokenizer_file=snake_case__  ,						do_lower_case=snake_case__  ,						unk_token=snake_case__  ,						sep_token=snake_case__  ,						pad_token=snake_case__  ,						cls_token=snake_case__  ,						mask_token=snake_case__  ,						tokenize_chinese_chars=snake_case__  ,						strip_accents=snake_case__  ,						**snake_case__  ,						)

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

							lowerCAmelCase__        =   do_lower_case




					def 						_SCREAMING_SNAKE_CASE						(	self						:     str  ,						snake_case__						:     Optional[Any]  ,						snake_case__						:     Optional[int]=None     ):
							lowerCAmelCase__        =   [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 						_SCREAMING_SNAKE_CASE						(	self						:     Optional[int]  ,						snake_case__						:     List[int]  ,						snake_case__						:     Optional[List[int]] = None     ):
							lowerCAmelCase__        =   [self.sep_token_id]
							lowerCAmelCase__        =   [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 						_SCREAMING_SNAKE_CASE						(	self						:     Optional[Any]  ,						snake_case__						:     str  ,						snake_case__						:     Optional[str] = None     ):
							lowerCAmelCase__        =   self._tokenizer.model.save(snake_case__  ,						name=snake_case__     )
							return tuple(snake_case__     )






"""simple docstring"""




import copy
import os

import cva
import numpy as np
from matplotlib import pyplot as plt

class       a_      :




					def __init__(	self						:     Optional[int]     ):
							lowerCAmelCase__        =   """"""
							lowerCAmelCase__        =   """"""
							lowerCAmelCase__        =   []
							lowerCAmelCase__        =   0
							lowerCAmelCase__        =   256
							lowerCAmelCase__        =   0
							lowerCAmelCase__        =   0
							lowerCAmelCase__        =   0
							lowerCAmelCase__        =   0




					def 						_SCREAMING_SNAKE_CASE						(	self						:     List[Any]  ,						snake_case__						:     Union[str, Any]     ):
							lowerCAmelCase__        =   cva.imread(snake_case__  ,						0     )
							lowerCAmelCase__        =   copy.deepcopy(self.img     )
							lowerCAmelCase__   ,					lowerCAmelCase__   ,					lowerCAmelCase__        =   plt.hist(self.img.ravel()  ,						256  ,						[0, 256]  ,						label="""x"""     )
							lowerCAmelCase__        =   np.sum(snake_case__     )
							for i in range(len(snake_case__     )     ):
									lowerCAmelCase__        =   x[i] / self.k
									self.sk += prk
									lowerCAmelCase__        =   (self.L - 1) * self.sk
									if self.rem != 0:
											lowerCAmelCase__        =   int(last % last     )
									lowerCAmelCase__        =   int(last + 1 if self.rem >= 0.5 else last     )
									self.last_list.append(snake_case__     )
									lowerCAmelCase__        =   int(np.ma.count(self.img     ) / self.img[1].size     )
									lowerCAmelCase__        =   self.img[1].size
							for i in range(self.number_of_cols     ):
									for j in range(self.number_of_rows     ):
											lowerCAmelCase__        =   self.img[j][i]
											if num != self.last_list[num]:
													lowerCAmelCase__        =   self.last_list[num]
							cva.imwrite("""output_data/output.jpg"""  ,						self.img     )




					def 						_SCREAMING_SNAKE_CASE						(	self						:     Optional[Any]     ):
							plt.hist(self.img.ravel()  ,						256  ,						[0, 256]     )




					def 						_SCREAMING_SNAKE_CASE						(	self						:     Optional[Any]     ):
							cva.imshow("""Output-Image"""  ,						self.img     )
							cva.imshow("""Input-Image"""  ,						self.original_image     )
							cva.waitKey(5000     )
							cva.destroyAllWindows()


if __name__ == "__main__":
			__lowerCAmelCase    :							Dict													=						os.path.join(os.path.basename(__file__), "image_data/input.jpg")
			__lowerCAmelCase    :							Optional[int]													=						ConstantStretch()
			stretcher.stretch(file_path)
			stretcher.plot_histogram()
			stretcher.show_image()




