




import copy
import os

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





class        lowerCamelCase_							:


 '''simple docstring'''







 def __init__(							self  :		str						):
       SCREAMING_SNAKE_CASE_							=			""
       SCREAMING_SNAKE_CASE_							=			""
       SCREAMING_SNAKE_CASE_							=			[]
       SCREAMING_SNAKE_CASE_							=			0
       SCREAMING_SNAKE_CASE_							=			256
       SCREAMING_SNAKE_CASE_							=			0
       SCREAMING_SNAKE_CASE_							=			0
       SCREAMING_SNAKE_CASE_							=			0
       SCREAMING_SNAKE_CASE_							=			0



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



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




 def       lowerCAmelCase_  (							self  :		Union[str, Any]						):
       cva.imshow('Output-Image'				,				self.img						)
       cva.imshow('Input-Image'				,				self.original_image						)
       cva.waitKey(5_000						)
       cva.destroyAllWindows()


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







"""simple docstring"""
from ...configuration_utils import PretrainedConfig
from ...utils import logging


lowerCamelCase_					=      logging.get_logger(__name__)

lowerCamelCase_					=      {
    '''RWKV/rwkv-4-169m-pile''': '''https://huggingface.co/RWKV/rwkv-4-169m-pile/resolve/main/config.json''',
    '''RWKV/rwkv-4-430m-pile''': '''https://huggingface.co/RWKV/rwkv-4-430m-pile/resolve/main/config.json''',
    '''RWKV/rwkv-4-1b5-pile''': '''https://huggingface.co/RWKV/rwkv-4-1b5-pile/resolve/main/config.json''',
    '''RWKV/rwkv-4-3b-pile''': '''https://huggingface.co/RWKV/rwkv-4-3b-pile/resolve/main/config.json''',
    '''RWKV/rwkv-4-7b-pile''': '''https://huggingface.co/RWKV/rwkv-4-7b-pile/resolve/main/config.json''',
    '''RWKV/rwkv-4-14b-pile''': '''https://huggingface.co/RWKV/rwkv-4-14b-pile/resolve/main/config.json''',
    '''RWKV/rwkv-raven-1b5''': '''https://huggingface.co/RWKV/rwkv-raven-1b5/resolve/main/config.json''',
    '''RWKV/rwkv-raven-3b''': '''https://huggingface.co/RWKV/rwkv-raven-3b/resolve/main/config.json''',
    '''RWKV/rwkv-raven-7b''': '''https://huggingface.co/RWKV/rwkv-raven-7b/resolve/main/config.json''',
    '''RWKV/rwkv-raven-14b''': '''https://huggingface.co/RWKV/rwkv-raven-14b/resolve/main/config.json''',
}







class 			UpperCamelCase_       (__A     ):
	__magic_name__	      =				'''rwkv'''
	__magic_name__	      =				{'''max_position_embeddings''': '''context_length'''}





	def __init__(      self					: str	,	lowerCAmelCase_					: str=50_277	,	lowerCAmelCase_					: Optional[int]=1_024	,	lowerCAmelCase_					: Optional[int]=4_096	,	lowerCAmelCase_					: Union[str, Any]=32	,	lowerCAmelCase_					: List[Any]=None	,	lowerCAmelCase_					: int=None	,	lowerCAmelCase_					: List[Any]=1e-5	,	lowerCAmelCase_					: str=0	,	lowerCAmelCase_					: Tuple=0	,	lowerCAmelCase_					: int=6	,	lowerCAmelCase_					: Optional[Any]=False	,	lowerCAmelCase_					: Any=True	,	**lowerCAmelCase_					: List[Any]	,	)						->			List[str]:
				UpperCAmelCase_     : Tuple			     =					vocab_size
				UpperCAmelCase_     : List[str]			     =					context_length
				UpperCAmelCase_     : Dict			     =					hidden_size
				UpperCAmelCase_     : Optional[int]			     =					num_hidden_layers
				UpperCAmelCase_     : Optional[int]			     =					attention_hidden_size if attention_hidden_size is not None else hidden_size
				UpperCAmelCase_     : Dict			     =					intermediate_size if intermediate_size is not None else 4 * hidden_size
				UpperCAmelCase_     : Any			     =					layer_norm_epsilon
				UpperCAmelCase_     : List[Any]			     =					rescale_every
				UpperCAmelCase_     : List[str]			     =					use_cache

				UpperCAmelCase_     : List[str]			     =					bos_token_id
				UpperCAmelCase_     : Union[str, Any]			     =					eos_token_id

				super().__init__(
				    tie_word_embeddings=lowerCAmelCase_	,	bos_token_id=lowerCAmelCase_	,	eos_token_id=lowerCAmelCase_	,	**lowerCAmelCase_						)



