

"""simple docstring"""




import copy
import os

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







class   __lowercase      :

  def __init__(	self		:      int     ):






   '''simple docstring'''
   UpperCAmelCase__       :	Dict        =       """"""
   UpperCAmelCase__       :	Optional[Any]        =       """"""
   UpperCAmelCase__       :	Dict        =       []
   UpperCAmelCase__       :	List[Any]        =       0
   UpperCAmelCase__       :	int        =       256
   UpperCAmelCase__       :	Any        =       0
   UpperCAmelCase__       :	str        =       0
   UpperCAmelCase__       :	List[str]        =       0
   UpperCAmelCase__       :	Dict        =       0

  def  __lowercase							(	self		:      Optional[Any]       ,A		:      Dict     ):






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

  def  __lowercase							(	self		:      List[Any]     ):






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




  def  __lowercase							(	self		:      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()












from typing import TYPE_CHECKING

from ...utils import (
    OptionalDependencyNotAvailable,
    _LazyModule,
    is_flax_available,
    is_tf_available,
    is_tokenizers_available,
    is_torch_available,
    is_vision_available,
)


UpperCamelCase_												=	{
    'configuration_owlvit': [
        'OWLVIT_PRETRAINED_CONFIG_ARCHIVE_MAP',
        'OwlViTConfig',
        'OwlViTOnnxConfig',
        'OwlViTTextConfig',
        'OwlViTVisionConfig',
    ],
    'processing_owlvit': ['OwlViTProcessor'],
}


try:
    if not is_vision_available():
        raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
    pass
else:
    UpperCamelCase_												=	['OwlViTFeatureExtractor']
    UpperCamelCase_												=	['OwlViTImageProcessor']

try:
    if not is_torch_available():
        raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
    pass
else:
    UpperCamelCase_												=	[
        'OWLVIT_PRETRAINED_MODEL_ARCHIVE_LIST',
        'OwlViTModel',
        'OwlViTPreTrainedModel',
        'OwlViTTextModel',
        'OwlViTVisionModel',
        'OwlViTForObjectDetection',
    ]

if TYPE_CHECKING:
    from .configuration_owlvit import (
        OWLVIT_PRETRAINED_CONFIG_ARCHIVE_MAP,
        OwlViTConfig,
        OwlViTOnnxConfig,
        OwlViTTextConfig,
        OwlViTVisionConfig,
    )
    from .processing_owlvit import OwlViTProcessor

    try:
        if not is_vision_available():
            raise OptionalDependencyNotAvailable()
    except OptionalDependencyNotAvailable:
        pass
    else:
        from .feature_extraction_owlvit import OwlViTFeatureExtractor
        from .image_processing_owlvit import OwlViTImageProcessor

    try:
        if not is_torch_available():
            raise OptionalDependencyNotAvailable()
    except OptionalDependencyNotAvailable:
        pass
    else:
        from .modeling_owlvit import (
            OWLVIT_PRETRAINED_MODEL_ARCHIVE_LIST,
            OwlViTForObjectDetection,
            OwlViTModel,
            OwlViTPreTrainedModel,
            OwlViTTextModel,
            OwlViTVisionModel,
        )

else:
    import sys

    UpperCamelCase_												=	_LazyModule(__name__, globals()['__file__'], _import_structure, module_spec=__spec__)



