
import copy
import os

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

class       a		:







							def __init__(						self  :  Dict ):
								"""simple docstring"""







								__lowerCAmelCase         =							""
								__lowerCAmelCase         =							""
								__lowerCAmelCase         =							[]
								__lowerCAmelCase         =							0
								__lowerCAmelCase         =							256
								__lowerCAmelCase         =							0
								__lowerCAmelCase         =							0
								__lowerCAmelCase         =							0
								__lowerCAmelCase         =							0







							def       UpperCAmelCase__					(						self  :  Optional[Any]      ,				snake_case__  :  Optional[Any] ):
								"""simple docstring"""







								__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       UpperCAmelCase__					(						self  :  Dict ):
								"""simple docstring"""







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







							def       UpperCAmelCase__					(						self  :  List[str] ):
								"""simple docstring"""







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


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








# limitations under the License.

# NOTE: This file is deprecated and will be removed in a future version.
# It only exists so that temporarely `from diffusers.pipelines import DiffusionPipeline` works

from .pipelines import DiffusionPipeline, ImagePipelineOutput  # noqa: F401
from .utils import deprecate


deprecate(
    "pipelines_utils",
    "0.22.0",
    "Importing `DiffusionPipeline` or `ImagePipelineOutput` from diffusers.pipeline_utils is deprecated. Please import from diffusers.pipelines.pipeline_utils instead.",
    standard_warn=False,
    stacklevel=3,
)






