





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

_lowerCAmelCase 				=     imread(R"""digital_image_processing/image_data/lena_small.jpg""")
_lowerCAmelCase 				=     cvtColor(img, COLOR_BGR2GRAY)



def     _lowerCAmelCase		(  ):
   '''simple docstring'''


   A_     :				int			      =	cn.convert_to_negative(_lowerCAmelCase     )
   # assert negative_img array for at least one True
   assert negative_img.any()



def     _lowerCAmelCase		(  ):
   '''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(_lowerCAmelCase  ,1_1_0     )     ).startswith(
          """<PIL.Image.Image image mode=RGB size=100x100 at"""     )



def     _lowerCAmelCase		(  ):
   '''simple docstring'''


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



def     _lowerCAmelCase		(  ):
   '''simple docstring'''


   A_     :				Optional[int]			      =	imread("""digital_image_processing/image_data/lena_small.jpg"""  ,0     )
   # assert ambiguous array for all == True
   assert canny_img.all()
   A_     :				Dict			      =	canny.canny(_lowerCAmelCase     )
   # assert canny array for at least one True
   assert canny_array.any()



def     _lowerCAmelCase		(  ):
   '''simple docstring'''


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



def     _lowerCAmelCase		(  ):
   '''simple docstring'''


   A_     :				List[str]			      =	array([[0.25, 0.5, 0.25], [0.5, -3, 0.5], [0.25, 0.5, 0.25]]     )
   A_     :				Optional[int]			      =	conv.img_convolve(_lowerCAmelCase  ,_lowerCAmelCase     ).astype(_lowerCAmelCase     )
   assert res.any()



def     _lowerCAmelCase		(  ):
   '''simple docstring'''


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



def     _lowerCAmelCase		(  ):
   '''simple docstring'''


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



def     _lowerCAmelCase		(  ):
   '''simple docstring'''


   A_     :				str			      =	sp.make_sepia(_lowerCAmelCase  ,2_0     )
   assert sepia.all()



def     _lowerCAmelCase		(  _lowerCAmelCase = "digital_image_processing/image_data/lena_small.jpg"     ):
   '''simple docstring'''


   A_     :				List[str]			      =	bs.Burkes(imread(_lowerCAmelCase  ,1     )  ,1_2_0     )
   burkes.process()
   assert burkes.output_img.any()



def     _lowerCAmelCase		(  _lowerCAmelCase = "digital_image_processing/image_data/lena_small.jpg"  ,):
   '''simple docstring'''


   A_     :				List[Any]			      =	rs.NearestNeighbour(imread(_lowerCAmelCase  ,1     )  ,4_0_0  ,2_0_0     )
   nn.process()
   assert nn.output.any()







def     _lowerCAmelCase		(  ):
   '''simple docstring'''


   A_     :				Optional[Any]			      =	"""digital_image_processing/image_data/lena.jpg"""

   # Reading the image and converting it to grayscale.
   A_     :				int			      =	imread(_lowerCAmelCase  ,0     )

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

   A_     :				Union[str, Any]			      =	lbp.get_neighbors_pixel(
       _lowerCAmelCase  ,_lowerCAmelCase  ,_lowerCAmelCase  ,_lowerCAmelCase     )

   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
   A_     :				List[Any]			      =	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]     ):
         A_     :				List[str]			      =	lbp.local_binary_value(_lowerCAmelCase  ,_lowerCAmelCase  ,_lowerCAmelCase     )

   assert lbp_image.any()













from typing import TYPE_CHECKING

from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_torch_available


_lowerCAmelCase 				=     {
    """configuration_nllb_moe""": [
        """NLLB_MOE_PRETRAINED_CONFIG_ARCHIVE_MAP""",
        """NllbMoeConfig""",
    ]
}

try:
      if not is_torch_available():
            raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
      pass
else:
      _lowerCAmelCase 				=     [
          """NLLB_MOE_PRETRAINED_MODEL_ARCHIVE_LIST""",
          """NllbMoeForConditionalGeneration""",
          """NllbMoeModel""",
          """NllbMoePreTrainedModel""",
          """NllbMoeTop2Router""",
          """NllbMoeSparseMLP""",
      ]


if TYPE_CHECKING:
      from .configuration_nllb_moe import (
          NLLB_MOE_PRETRAINED_CONFIG_ARCHIVE_MAP,
          NllbMoeConfig,
      )

      try:
            if not is_torch_available():
                  raise OptionalDependencyNotAvailable()
      except OptionalDependencyNotAvailable:
            pass
      else:
            from .modeling_nllb_moe import (
                NLLB_MOE_PRETRAINED_MODEL_ARCHIVE_LIST,
                NllbMoeForConditionalGeneration,
                NllbMoeModel,
                NllbMoePreTrainedModel,
                NllbMoeSparseMLP,
                NllbMoeTopaRouter,
            )


else:
      import sys

      _lowerCAmelCase 				=     _LazyModule(__name__, globals()["""__file__"""], _import_structure, module_spec=__spec__)






