



'''simple docstring'''





import copy
import os

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






class __A    :



 '''simple docstring'''







 def __init__(self )					->  Union[str, Any]:


      """simple docstring"""



      _a											=						''''''
      _a											=						''''''
      _a											=						[]
      _a											=						0
      _a											=						256
      _a											=						0
      _a											=						0
      _a											=						0
      _a											=						0



 def       a__						(self				,     A )					->  str:


      """simple docstring"""



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



 def       a__						(self )					->  Union[str, Any]:


      """simple docstring"""



      plt.hist(self.img.ravel()				,     256				,     [0, 256] )



 def       a__						(self )					->  Union[str, Any]:


      """simple docstring"""



      cva.imshow('''Output-Image'''				,     self.img )
      cva.imshow('''Input-Image'''				,     self.original_image )
      cva.waitKey(5_000 )
      cva.destroyAllWindows()


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










'''simple docstring'''





from ....configuration_utils import PretrainedConfig
from ....utils import logging


lowercase_	 =						logging.get_logger(__name__)

# TODO: upload to AWS
lowercase_	 =						{
    "yjernite/retribert-base-uncased": (
        "https://huggingface.co/yjernite/retribert-base-uncased/resolve/main/config.json"
    ),
}






class __A    (						A		):



 '''simple docstring'''







 __lowerCamelCase					: Optional[Any]    = 'retribert'



 def __init__(self				,     A=30_522				,     A=768				,     A=8				,     A=12				,     A=3_072				,     A="gelu"				,     A=0.1				,     A=0.1				,     A=512				,     A=2				,     A=0.02				,     A=1E-12				,     A=True				,     A=128				,     A=0				,     **A				,     )					->  Any:


      """simple docstring"""



      super().__init__(pad_token_id=A				,     **A )

      _a											=						vocab_size
      _a											=						hidden_size
      _a											=						num_hidden_layers
      _a											=						num_attention_heads
      _a											=						hidden_act
      _a											=						intermediate_size
      _a											=						hidden_dropout_prob
      _a											=						attention_probs_dropout_prob
      _a											=						max_position_embeddings
      _a											=						type_vocab_size
      _a											=						initializer_range
      _a											=						layer_norm_eps
      _a											=						share_encoders
      _a											=						projection_dim



