




import numpy as np
from cva import COLOR_BGR2GRAY, cvtColor, imread, imshow, waitKey

from digital_image_processing.filters.convolve import img_convolve

def       lowerCAmelCase_      (	lowerCamelCase:							List[Any]    )       ->      Union[str, Any]:


      '''simple docstring'''




      lowerCamelCase__   	=					np.array([[-1, 0, 1], [-2, 0, 2], [-1, 0, 1]]    )
      lowerCamelCase__   	=					np.array([[1, 2, 1], [0, 0, 0], [-1, -2, -1]]    )

      lowerCamelCase__   	=					np.abs(img_convolve(lowerCamelCase  ,					lowerCamelCase    )    )
      lowerCamelCase__   	=					np.abs(img_convolve(lowerCamelCase  ,					lowerCamelCase    )    )
      # modify the pix within [0, 255]
      lowerCamelCase__   	=					dst_x * 2_55 / np.max(lowerCamelCase    )
      lowerCamelCase__   	=					dst_y * 2_55 / np.max(lowerCamelCase    )

      lowerCamelCase__   	=					np.sqrt((np.square(lowerCamelCase    )) + (np.square(lowerCamelCase    ))    )
      lowerCamelCase__   	=					dst_xy * 2_55 / np.max(lowerCamelCase    )
      lowerCamelCase__   	=					dst_xy.astype(np.uinta    )

      lowerCamelCase__   	=					np.arctana(lowerCamelCase  ,					lowerCamelCase    )
      return dst, theta


if __name__ == "__main__":
      # read original image
      __SCREAMING_SNAKE_CASE     : Optional[int]      =imread("""../image_data/lena.jpg""")
      # turn image in gray scale value
      __SCREAMING_SNAKE_CASE     : Union[str, Any]      =cvtColor(img, COLOR_BGR2GRAY)

      __SCREAMING_SNAKE_CASE     ,	__SCREAMING_SNAKE_CASE     : Any      =sobel_filter(gray)

      # show result images
      imshow("""sobel filter""", sobel_grad)
      imshow("""sobel theta""", sobel_theta)
      waitKey(0)





from ...configuration_utils import PretrainedConfig
from ...utils import logging


__SCREAMING_SNAKE_CASE     : str      =logging.get_logger(__name__)

__SCREAMING_SNAKE_CASE     : Any      ={
    """ZinengTang/tvlt-base""": """https://huggingface.co/ZinengTang/tvlt-base/blob/main/config.json""",
}






class       A      (		_lowerCAmelCase		):
     """simple docstring"""

     _snake_case:						str  ="tvlt"




     def __init__(     self	: List[Any]						,	A__	: List[str]=2_2_4						,	A__	: Optional[int]=2_0_4_8						,	A__	: str=1_2_8						,	A__	: Union[str, Any]=[1_6, 1_6]						,	A__	: List[Any]=[1_6, 1_6]						,	A__	: int=3						,	A__	: Optional[int]=1						,	A__	: Tuple=8						,	A__	: Tuple=7_6_8						,	A__	: List[str]=1_2						,	A__	: Tuple=1_2						,	A__	: int=3_0_7_2						,	A__	: Tuple="gelu"						,	A__	: str=0.0						,	A__	: Dict=0.0						,	A__	: Any=0.02						,	A__	: int=1E-6						,	A__	: List[str]=True						,	A__	: List[str]=False						,	A__	: Optional[Any]=1_6						,	A__	: Optional[Any]=5_1_2						,	A__	: List[Any]=8						,	A__	: Any=2_0_4_8						,	A__	: List[Any]=0.75						,	A__	: List[Any]=0.15						,	A__	: str="frame-level"						,	A__	: Union[str, Any]=True						,	A__	: Optional[int]=True						,	A__	: Optional[Any]="classification"						,	**A__	: int						,	)					->							Tuple:
           super().__init__(**A__      )

           if audio_mask_type not in ("frame-level", "patch_level"):
                 raise ValueError(
                     'audio_mask_type must be one of two acceptable strategies - {\'frame_level\', \'patch-level\') '
                     F"""got {audio_mask_type}"""      )

           lowerCamelCase__   	=					image_size
           lowerCamelCase__   	=					spectrogram_length
           lowerCamelCase__   	=					frequency_length
           lowerCamelCase__   	=					image_patch_size
           lowerCamelCase__   	=					audio_patch_size
           lowerCamelCase__   	=					num_image_channels
           lowerCamelCase__   	=					num_audio_channels
           lowerCamelCase__   	=					num_frames

           lowerCamelCase__   	=					hidden_size
           lowerCamelCase__   	=					num_hidden_layers
           lowerCamelCase__   	=					num_attention_heads
           lowerCamelCase__   	=					intermediate_size
           lowerCamelCase__   	=					hidden_act
           lowerCamelCase__   	=					hidden_dropout_prob
           lowerCamelCase__   	=					attention_probs_dropout_prob
           lowerCamelCase__   	=					initializer_range
           lowerCamelCase__   	=					layer_norm_eps
           lowerCamelCase__   	=					qkv_bias
           lowerCamelCase__   	=					use_mean_pooling

           lowerCamelCase__   	=					decoder_num_attention_heads
           lowerCamelCase__   	=					decoder_hidden_size
           lowerCamelCase__   	=					decoder_num_hidden_layers
           lowerCamelCase__   	=					decoder_intermediate_size
           lowerCamelCase__   	=					pixel_mask_ratio
           lowerCamelCase__   	=					audio_mask_ratio
           lowerCamelCase__   	=					audio_mask_type

           lowerCamelCase__   	=					task_matching
           lowerCamelCase__   	=					task_mae
           lowerCamelCase__   	=					loss_type