


'''simple docstring'''






def 		_A			(lowerCAmelCase__					:list[list[int | float]]						)				->					int:




     '''simple docstring'''



     _a      =							len(lowerCAmelCase__						)
     _a      =							len(matrix[0]						)
     _a      =							min(lowerCAmelCase__			,  lowerCAmelCase__						)

     for row in range(lowerCAmelCase__						):
          # Check if diagonal element is not zero
          if matrix[row][row] != 0:
               # Eliminate all the elements below the diagonal
               for col in range(row + 1			,  lowerCAmelCase__						):
                    _a      =							matrix[col][row] / matrix[row][row]
                    for i in range(lowerCAmelCase__			,  lowerCAmelCase__						):
                         matrix[col][i] -= multiplier * matrix[row][i]
          else:
               # Find a non-zero diagonal element to swap rows
               _a      =							True
               for i in range(row + 1			,  lowerCAmelCase__						):
                    if matrix[i][row] != 0:
                         _a ,				_a      =							matrix[i], matrix[row]
                         _a      =							False
                         break
               if reduce:
                    rank -= 1
                    for i in range(lowerCAmelCase__						):
                         _a      =							matrix[i][rank]

            # Reduce the row pointer by one to stay on the same row
               row -= 1

     return rank


if __name__ == "__main__":
 import doctest

 doctest.testmod()





'''simple docstring'''






import unittest

from diffusers.pipelines.pipeline_utils import is_safetensors_compatible




class 	a       (       unittest.TestCase    ):
 def 							__UpperCAmelCase						(	self  )   ->							int:
      _a      =							[
          'safety_checker/pytorch_model.bin',
          'safety_checker/model.safetensors',
          'vae/diffusion_pytorch_model.bin',
          'vae/diffusion_pytorch_model.safetensors',
          'text_encoder/pytorch_model.bin',
          'text_encoder/model.safetensors',
          'unet/diffusion_pytorch_model.bin',
          'unet/diffusion_pytorch_model.safetensors',
      ]
      self.assertTrue(is_safetensors_compatible(__magic_name__  )  )
 def 							__UpperCAmelCase						(	self  )   ->							Dict:
      _a      =							[
          'unet/diffusion_pytorch_model.bin',
          'unet/diffusion_pytorch_model.safetensors',
      ]
      self.assertTrue(is_safetensors_compatible(__magic_name__  )  )
 def 							__UpperCAmelCase						(	self  )   ->							Optional[int]:
      _a      =							[
          'safety_checker/pytorch_model.bin',
          'safety_checker/model.safetensors',
          'vae/diffusion_pytorch_model.bin',
          'vae/diffusion_pytorch_model.safetensors',
          'text_encoder/pytorch_model.bin',
          'text_encoder/model.safetensors',
          'unet/diffusion_pytorch_model.bin',
          # Removed: 'unet/diffusion_pytorch_model.safetensors',
      ]
      self.assertFalse(is_safetensors_compatible(__magic_name__  )  )
 def 							__UpperCAmelCase						(	self  )   ->							Optional[Any]:
      _a      =							[
          'text_encoder/pytorch_model.bin',
          'text_encoder/model.safetensors',
      ]
      self.assertTrue(is_safetensors_compatible(__magic_name__  )  )
 def 							__UpperCAmelCase						(	self  )   ->							str:
      _a      =							[
          'safety_checker/pytorch_model.bin',
          'safety_checker/model.safetensors',
          'vae/diffusion_pytorch_model.bin',
          'vae/diffusion_pytorch_model.safetensors',
          'text_encoder/pytorch_model.bin',
          # Removed: 'text_encoder/model.safetensors',
          'unet/diffusion_pytorch_model.bin',
          'unet/diffusion_pytorch_model.safetensors',
      ]
      self.assertFalse(is_safetensors_compatible(__magic_name__  )  )
 def 							__UpperCAmelCase						(	self  )   ->							List[Any]:
      _a      =							[
          'safety_checker/pytorch_model.fp16.bin',
          'safety_checker/model.fp16.safetensors',
          'vae/diffusion_pytorch_model.fp16.bin',
          'vae/diffusion_pytorch_model.fp16.safetensors',
          'text_encoder/pytorch_model.fp16.bin',
          'text_encoder/model.fp16.safetensors',
          'unet/diffusion_pytorch_model.fp16.bin',
          'unet/diffusion_pytorch_model.fp16.safetensors',
      ]
      _a      =							'fp16'
      self.assertTrue(is_safetensors_compatible(__magic_name__ ,			variant=__magic_name__  )  )
 def 							__UpperCAmelCase						(	self  )   ->							Any:
      _a      =							[
          'unet/diffusion_pytorch_model.fp16.bin',
          'unet/diffusion_pytorch_model.fp16.safetensors',
      ]
      _a      =							'fp16'
      self.assertTrue(is_safetensors_compatible(__magic_name__ ,			variant=__magic_name__  )  )
 def 							__UpperCAmelCase						(	self  )   ->							int:
      # pass variant but use the non-variant filenames
      _a      =							[
          'unet/diffusion_pytorch_model.bin',
          'unet/diffusion_pytorch_model.safetensors',
      ]
      _a      =							'fp16'
      self.assertTrue(is_safetensors_compatible(__magic_name__ ,			variant=__magic_name__  )  )
 def 							__UpperCAmelCase						(	self  )   ->							List[str]:
      _a      =							[
          'safety_checker/pytorch_model.fp16.bin',
          'safety_checker/model.fp16.safetensors',
          'vae/diffusion_pytorch_model.fp16.bin',
          'vae/diffusion_pytorch_model.fp16.safetensors',
          'text_encoder/pytorch_model.fp16.bin',
          'text_encoder/model.fp16.safetensors',
          'unet/diffusion_pytorch_model.fp16.bin',
          # Removed: 'unet/diffusion_pytorch_model.fp16.safetensors',
      ]
      _a      =							'fp16'
      self.assertFalse(is_safetensors_compatible(__magic_name__ ,			variant=__magic_name__  )  )
 def 							__UpperCAmelCase						(	self  )   ->							Union[str, Any]:
      _a      =							[
          'text_encoder/pytorch_model.fp16.bin',
          'text_encoder/model.fp16.safetensors',
      ]
      _a      =							'fp16'
      self.assertTrue(is_safetensors_compatible(__magic_name__ ,			variant=__magic_name__  )  )
 def 							__UpperCAmelCase						(	self  )   ->							List[Any]:
      # pass variant but use the non-variant filenames
      _a      =							[
          'text_encoder/pytorch_model.bin',
          'text_encoder/model.safetensors',
      ]
      _a      =							'fp16'
      self.assertTrue(is_safetensors_compatible(__magic_name__ ,			variant=__magic_name__  )  )




 def 							__UpperCAmelCase						(	self  )   ->							List[Any]:
      _a      =							[
          'safety_checker/pytorch_model.fp16.bin',
          'safety_checker/model.fp16.safetensors',
          'vae/diffusion_pytorch_model.fp16.bin',
          'vae/diffusion_pytorch_model.fp16.safetensors',
          'text_encoder/pytorch_model.fp16.bin',
          # 'text_encoder/model.fp16.safetensors',
          'unet/diffusion_pytorch_model.fp16.bin',
          'unet/diffusion_pytorch_model.fp16.safetensors',
      ]
      _a      =							'fp16'
      self.assertFalse(is_safetensors_compatible(__magic_name__ ,			variant=__magic_name__  )  )

