'''simple docstring'''




import numpy as np
from cva import COLOR_BGR2GRAY, cvtColor, imread
from numpy import array, uinta
from PIL import Image

from digital_image_processing import change_contrast as cc
from digital_image_processing import convert_to_negative as cn
from digital_image_processing import sepia as sp
from digital_image_processing.dithering import burkes as bs
from digital_image_processing.edge_detection import canny
from digital_image_processing.filters import convolve as conv
from digital_image_processing.filters import gaussian_filter as gg
from digital_image_processing.filters import local_binary_pattern as lbp
from digital_image_processing.filters import median_filter as med
from digital_image_processing.filters import sobel_filter as sob
from digital_image_processing.resize import resize as rs

__SCREAMING_SNAKE_CASE       :     Any     =  imread(R"""digital_image_processing/image_data/lena_small.jpg""")
__SCREAMING_SNAKE_CASE       :     Tuple     =  cvtColor(img, COLOR_BGR2GRAY)

def 	UpperCamelCase_							(					)    ->    Optional[Any]:


       """simple docstring"""







       _UpperCAmelCase     :  List[Any]							      =    cn.convert_to_negative(_UpperCAmelCase    )
       # assert negative_img array for at least one True
       assert negative_img.any()

def 	UpperCamelCase_							(					)    ->    Optional[Any]:


       """simple docstring"""







       with Image.open("digital_image_processing/image_data/lena_small.jpg"    ) as img:
              # Work around assertion for response
              assert str(cc.change_contrast(_UpperCAmelCase			,	110    )    ).startswith(
                  "<PIL.Image.Image image mode=RGB size=100x100 at"    )

def 	UpperCamelCase_							(					)    ->    Tuple:


       """simple docstring"""







       _UpperCAmelCase     :  int							      =    canny.gen_gaussian_kernel(9			,	sigma=1.4    )
       # Assert ambiguous array
       assert resp.all()

def 	UpperCamelCase_							(					)    ->    Tuple:


       """simple docstring"""







       _UpperCAmelCase     :  str							      =    imread("digital_image_processing/image_data/lena_small.jpg"			,	0    )
       # assert ambiguous array for all == True
       assert canny_img.all()
       _UpperCAmelCase     :  str							      =    canny.canny(_UpperCAmelCase    )
       # assert canny array for at least one True
       assert canny_array.any()

def 	UpperCamelCase_							(					)    ->    Optional[Any]:


       """simple docstring"""







       assert gg.gaussian_filter(_UpperCAmelCase			,	5			,	sigma=0.9    ).all()

def 	UpperCamelCase_							(					)    ->    Optional[Any]:


       """simple docstring"""







       _UpperCAmelCase     :  List[str]							      =    array([[0.2_5, 0.5, 0.2_5], [0.5, -3, 0.5], [0.2_5, 0.5, 0.2_5]]    )
       _UpperCAmelCase     :  List[str]							      =    conv.img_convolve(_UpperCAmelCase			,	_UpperCAmelCase    ).astype(_UpperCAmelCase    )
       assert res.any()

def 	UpperCamelCase_							(					)    ->    Optional[Any]:


       """simple docstring"""







       assert med.median_filter(_UpperCAmelCase			,	3    ).any()

def 	UpperCamelCase_							(					)    ->    List[str]:


       """simple docstring"""







       _UpperCAmelCase      ,  _UpperCAmelCase     :  Any							      =    sob.sobel_filter(_UpperCAmelCase    )
       assert grad.any() and theta.any()

def 	UpperCamelCase_							(					)    ->    Optional[Any]:


       """simple docstring"""







       _UpperCAmelCase     :  Optional[Any]							      =    sp.make_sepia(_UpperCAmelCase			,	20    )
       assert sepia.all()

def 	UpperCamelCase_							(					_UpperCAmelCase  :      str = "digital_image_processing/image_data/lena_small.jpg"    )    ->    Tuple:


       """simple docstring"""







       _UpperCAmelCase     :  Tuple							      =    bs.Burkes(imread(_UpperCAmelCase			,	1    )			,	120    )
       burkes.process()
       assert burkes.output_img.any()

def 	UpperCamelCase_							(					_UpperCAmelCase  :      str = "digital_image_processing/image_data/lena_small.jpg"			,	)    ->    List[str]:


       """simple docstring"""







       _UpperCAmelCase     :  Tuple							      =    rs.NearestNeighbour(imread(_UpperCAmelCase			,	1    )			,	400			,	200    )
       nn.process()
       assert nn.output.any()


def 	UpperCamelCase_							(					)    ->    Tuple:


       """simple docstring"""







       _UpperCAmelCase     :  str							      =    "digital_image_processing/image_data/lena.jpg"

       # Reading the image and converting it to grayscale.
       _UpperCAmelCase     :  Tuple							      =    imread(_UpperCAmelCase			,	0    )

       # Test for get_neighbors_pixel function() return not None
       _UpperCAmelCase     :  Any							      =    0
       _UpperCAmelCase     :  str							      =    0
       _UpperCAmelCase     :  Tuple							      =    image[x_coordinate][y_coordinate]

       _UpperCAmelCase     :  Dict							      =    lbp.get_neighbors_pixel(
           _UpperCAmelCase			,	_UpperCAmelCase			,	_UpperCAmelCase			,	_UpperCAmelCase    )

       assert neighbors_pixels is not None

       # Test for local_binary_pattern function()
       # Create a numpy array as the same height and width of read image
       _UpperCAmelCase     :  Dict							      =    np.zeros((image.shape[0], image.shape[1])    )

       # Iterating through the image and calculating the local binary pattern value
       # for each pixel.
       for i in range(0			,	image.shape[0]    ):
              for j in range(0			,	image.shape[1]    ):
                     _UpperCAmelCase     :  List[str]							      =    lbp.local_binary_value(_UpperCAmelCase			,	_UpperCAmelCase			,	_UpperCAmelCase    )

       assert lbp_image.any()





'''simple docstring'''







from __future__ import annotations

from typing import TypedDict







class A__       (						UpperCAmelCase__      ):
      __UpperCamelCase       :  str
      __UpperCamelCase       :  int


def 	SCREAMING_SNAKE_CASE_					(  _UpperCAmelCase	:	str  )  ->			list[str]:
       if not isinstance(_UpperCAmelCase    ,_UpperCAmelCase  ):
              raise TypeError("""The parameter s type must be str."""  )

       return [s[i:] + s[:i] for i in range(len(_UpperCAmelCase  )  )]


def 	SCREAMING_SNAKE_CASE_					(  _UpperCAmelCase	:	str  )  ->			BWTTransformDict:
       if not isinstance(_UpperCAmelCase    ,_UpperCAmelCase  ):
              raise TypeError("""The parameter s type must be str."""  )
       if not s:
              raise ValueError("""The parameter s must not be empty."""  )

       _a    : List[Any]     					=all_rotations(_UpperCAmelCase  )
       rotations.sort()  # sort the list of rotations in alphabetically order
       # make a string composed of the last char of each rotation
       _a    : BWTTransformDict     					={
           "bwt_string": "".join([word[-1] for word in rotations]  ),
           "idx_original_string": rotations.index(_UpperCAmelCase  ),
       }
       return response


def 	SCREAMING_SNAKE_CASE_					(  _UpperCAmelCase	:	str    ,_UpperCAmelCase	:	int  )  ->			str:
       if not isinstance(_UpperCAmelCase    ,_UpperCAmelCase  ):
              raise TypeError("""The parameter bwt_string type must be str."""  )
       if not bwt_string:
              raise ValueError("""The parameter bwt_string must not be empty."""  )
       try:
              _a    : List[str]     					=int(_UpperCAmelCase  )
       except ValueError:
              raise TypeError(
                  """The parameter idx_original_string type must be int or passive"""
                  """ of cast to int."""  )
       if idx_original_string < 0:
              raise ValueError("""The parameter idx_original_string must not be lower than 0."""  )
       if idx_original_string >= len(_UpperCAmelCase  ):
              raise ValueError(
                  """The parameter idx_original_string must be lower than""" """ len(bwt_string)."""  )

       _a    : Optional[int]     					=[""""""] * len(_UpperCAmelCase  )
       for _ in range(len(_UpperCAmelCase  )  ):
              for i in range(len(_UpperCAmelCase  )  ):
                     _a    : int     					=bwt_string[i] + ordered_rotations[i]
              ordered_rotations.sort()
       return ordered_rotations[idx_original_string]


if __name__ == "__main__":
   A__:    Any					    =       '''Provide a string that I will generate its BWT transform: '''
   A__:    Union[str, Any]					    =       input(entry_msg).strip()
   A__:    Optional[int]					    =       bwt_transform(s)
   print(
       F"Burrows Wheeler transform for string '{s}' results "
       F"in '{result['bwt_string']}'"
   )
   A__:    Union[str, Any]					    =       reverse_bwt(result['''bwt_string'''], result['''idx_original_string'''])
   print(
       F"Reversing Burrows Wheeler transform for entry '{result['bwt_string']}' "
       F"we get original string '{original_string}'"
   )


