

'''simple docstring'''
import copy
import os

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

class 						__magic_name__   :







 def __init__(       self   ):
   lowercase									=''''''
   lowercase									=''''''
   lowercase									=[]
   lowercase									=0
   lowercase									=2_56
   lowercase									=0
   lowercase									=0
   lowercase									=0
   lowercase									=0







 def 						_A(       self  , snake_case_   ):
   lowercase									=cva.imread(snake_case_  , 0   )
   lowercase									=copy.deepcopy(self.img   )
   lowercase							, lowercase							, lowercase									=plt.hist(self.img.ravel()  , 2_56  , [0, 2_56]  , label='''x'''   )
   lowercase									=np.sum(snake_case_   )
   for i in range(len(snake_case_   )   ):
     lowercase									=x[i] / self.k
     self.sk += prk
     lowercase									=(self.L - 1) * self.sk
     if self.rem != 0:
       lowercase									=int(last % last   )
     lowercase									=int(last + 1 if self.rem >= 0.5 else last   )
     self.last_list.append(snake_case_   )
     lowercase									=int(np.ma.count(self.img   ) / self.img[1].size   )
     lowercase									=self.img[1].size
   for i in range(self.number_of_cols   ):
     for j in range(self.number_of_rows   ):
       lowercase									=self.img[j][i]
       if num != self.last_list[num]:
         lowercase									=self.last_list[num]
   cva.imwrite('''output_data/output.jpg'''  , self.img   )







 def 						_A(       self   ):
   plt.hist(self.img.ravel()  , 2_56  , [0, 2_56]   )







 def 						_A(       self   ):
   cva.imshow('''Output-Image'''  , self.img   )
   cva.imshow('''Input-Image'''  , self.original_image   )
   cva.waitKey(50_00   )
   cva.destroyAllWindows()


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



from collections import OrderedDict
from typing import Mapping

from ...configuration_utils import PretrainedConfig
from ...onnx import OnnxConfig
from ...utils import logging


lowercase_   							=  logging.get_logger(__name__)

lowercase_   							=  {
    'distilbert-base-uncased': 'https://huggingface.co/distilbert-base-uncased/resolve/main/config.json',
    'distilbert-base-uncased-distilled-squad': (
        'https://huggingface.co/distilbert-base-uncased-distilled-squad/resolve/main/config.json'
    ),
    'distilbert-base-cased': 'https://huggingface.co/distilbert-base-cased/resolve/main/config.json',
    'distilbert-base-cased-distilled-squad': (
        'https://huggingface.co/distilbert-base-cased-distilled-squad/resolve/main/config.json'
    ),
    'distilbert-base-german-cased': 'https://huggingface.co/distilbert-base-german-cased/resolve/main/config.json',
    'distilbert-base-multilingual-cased': (
        'https://huggingface.co/distilbert-base-multilingual-cased/resolve/main/config.json'
    ),
    'distilbert-base-uncased-finetuned-sst-2-english': (
        'https://huggingface.co/distilbert-base-uncased-finetuned-sst-2-english/resolve/main/config.json'
    ),
}





class 					__lowerCAmelCase	(   SCREAMING_SNAKE_CASE				):
  _a		     =    """distilbert"""
  _a		     =    {
      """hidden_size""": """dim""",
      """num_attention_heads""": """n_heads""",
      """num_hidden_layers""": """n_layers""",
  }




  def __init__(							self				,  lowerCAmelCase=30_522				,  lowerCAmelCase=512				,  lowerCAmelCase=False				,  lowerCAmelCase=6				,  lowerCAmelCase=12				,  lowerCAmelCase=768				,  lowerCAmelCase=4 * 768				,  lowerCAmelCase=0.1				,  lowerCAmelCase=0.1				,  lowerCAmelCase="gelu"				,  lowerCAmelCase=0.02				,  lowerCAmelCase=0.1				,  lowerCAmelCase=0.2				,  lowerCAmelCase=0				,  **lowerCAmelCase				,  )    ->					Dict:
        '''simple docstring'''






        _lowercase      			=vocab_size
        _lowercase      			=max_position_embeddings
        _lowercase      			=sinusoidal_pos_embds
        _lowercase      			=n_layers
        _lowercase      			=n_heads
        _lowercase      			=dim
        _lowercase      			=hidden_dim
        _lowercase      			=dropout
        _lowercase      			=attention_dropout
        _lowercase      			=activation
        _lowercase      			=initializer_range
        _lowercase      			=qa_dropout
        _lowercase      			=seq_classif_dropout
        super().__init__(**lowerCAmelCase				,  pad_token_id=lowerCAmelCase   )





class 					__lowerCAmelCase	(   SCREAMING_SNAKE_CASE				):




  @property
  def     A__	(							self   )    ->					Mapping[str, Mapping[int, str]]:
        '''simple docstring'''






        if self.task == "multiple-choice":
              _lowercase      			={0: 'batch', 1: 'choice', 2: 'sequence'}
        else:
              _lowercase      			={0: 'batch', 1: 'sequence'}
        return OrderedDict(
            [
                ('input_ids', dynamic_axis),
                ('attention_mask', dynamic_axis),
            ]   )


