

import json
from typing import List, Optional, Tuple

from tokenizers import normalizers

from ...tokenization_utils_fast import PreTrainedTokenizerFast
from ...utils import logging
from .tokenization_squeezebert import SqueezeBertTokenizer


lowerCAmelCase__       = logging.get_logger(__name__)

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

lowerCAmelCase__       = {
    "vocab_file": {
        "squeezebert/squeezebert-uncased": (
            "https://huggingface.co/squeezebert/squeezebert-uncased/resolve/main/vocab.txt"
        ),
        "squeezebert/squeezebert-mnli": "https://huggingface.co/squeezebert/squeezebert-mnli/resolve/main/vocab.txt",
        "squeezebert/squeezebert-mnli-headless": (
            "https://huggingface.co/squeezebert/squeezebert-mnli-headless/resolve/main/vocab.txt"
        ),
    },
    "tokenizer_file": {
        "squeezebert/squeezebert-uncased": (
            "https://huggingface.co/squeezebert/squeezebert-uncased/resolve/main/tokenizer.json"
        ),
        "squeezebert/squeezebert-mnli": (
            "https://huggingface.co/squeezebert/squeezebert-mnli/resolve/main/tokenizer.json"
        ),
        "squeezebert/squeezebert-mnli-headless": (
            "https://huggingface.co/squeezebert/squeezebert-mnli-headless/resolve/main/tokenizer.json"
        ),
    },
}

lowerCAmelCase__       = {
    "squeezebert/squeezebert-uncased": 512,
    "squeezebert/squeezebert-mnli": 512,
    "squeezebert/squeezebert-mnli-headless": 512,
}


lowerCAmelCase__       = {
    "squeezebert/squeezebert-uncased": {"do_lower_case": True},
    "squeezebert/squeezebert-mnli": {"do_lower_case": True},
    "squeezebert/squeezebert-mnli-headless": {"do_lower_case": True},
}






class 						__magic_name__    (       _snake_case    ):
 UpperCAmelCase							    =						VOCAB_FILES_NAMES
 UpperCAmelCase							    =						PRETRAINED_VOCAB_FILES_MAP
 UpperCAmelCase							    =						PRETRAINED_INIT_CONFIGURATION
 UpperCAmelCase							    =						PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
 UpperCAmelCase							    =						SqueezeBertTokenizer


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

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

   UpperCAmelCase					      =  do_lower_case


 def _UpperCamelCase	(						self		: List[str]			,						lowerCAmelCase__		: List[str]			,						lowerCAmelCase__		: str=None    )    ->      List[Any]:
   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 _UpperCamelCase	(						self		: List[str]			,						lowerCAmelCase__		: List[int]			,						lowerCAmelCase__		: Optional[List[int]] = None    )    ->      List[int]:
   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 _UpperCamelCase	(						self		: Dict			,						lowerCAmelCase__		: str			,						lowerCAmelCase__		: Optional[str] = None    )    ->      Tuple[str]:
   UpperCAmelCase					      =  self._tokenizer.model.save(lowerCAmelCase__			,						name=lowerCAmelCase__    )
   return tuple(lowerCAmelCase__    )






import copy
import os

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






class 						__magic_name__    :


 def __init__(						self		: Optional[int]    )    ->      Optional[Any]:
   UpperCAmelCase					      =  ""
   UpperCAmelCase					      =  ""
   UpperCAmelCase					      =  []
   UpperCAmelCase					      =  0
   UpperCAmelCase					      =  2_5_6
   UpperCAmelCase					      =  0
   UpperCAmelCase					      =  0
   UpperCAmelCase					      =  0
   UpperCAmelCase					      =  0


 def _UpperCamelCase	(						self		: Any			,						lowerCAmelCase__		: Optional[Any]    )    ->      List[str]:
   UpperCAmelCase					      =  cva.imread(lowerCAmelCase__			,						0    )
   UpperCAmelCase					      =  copy.deepcopy(self.img    )
   UpperCAmelCase      ,	UpperCAmelCase      ,	UpperCAmelCase					      =  plt.hist(self.img.ravel()			,						2_5_6			,						[0, 2_5_6]			,						label="x"    )
   UpperCAmelCase					      =  np.sum(lowerCAmelCase__    )
   for i in range(len(lowerCAmelCase__    )    ):
     UpperCAmelCase					      =  x[i] / self.k
     self.sk += prk
     UpperCAmelCase					      =  (self.L - 1) * self.sk
     if self.rem != 0:
       UpperCAmelCase					      =  int(last % last    )
     UpperCAmelCase					      =  int(last + 1 if self.rem >= 0.5 else last    )
     self.last_list.append(lowerCAmelCase__    )
     UpperCAmelCase					      =  int(np.ma.count(self.img    ) / self.img[1].size    )
     UpperCAmelCase					      =  self.img[1].size
   for i in range(self.number_of_cols    ):
     for j in range(self.number_of_rows    ):
       UpperCAmelCase					      =  self.img[j][i]
       if num != self.last_list[num]:
         UpperCAmelCase					      =  self.last_list[num]
   cva.imwrite("output_data/output.jpg"			,						self.img    )


 def _UpperCamelCase	(						self		: str    )    ->      int:
   plt.hist(self.img.ravel()			,						2_5_6			,						[0, 2_5_6]    )


 def _UpperCamelCase	(						self		: Dict    )    ->      Optional[Any]:
   cva.imshow("Output-Image"			,						self.img    )
   cva.imshow("Input-Image"			,						self.original_image    )
   cva.waitKey(5_0_0_0    )
   cva.destroyAllWindows()


if __name__ == "__main__":
      lowerCAmelCase__       = os.path.join(os.path.basename(__file__), "image_data/input.jpg")
      lowerCAmelCase__       = ConstantStretch()
      stretcher.stretch(file_path)
      stretcher.plot_histogram()
      stretcher.show_image()



