'''simple docstring'''




import unittest

from diffusers.pipelines.pipeline_utils import is_safetensors_compatible


class       UpperCAmelCase__  (       unittest.TestCase			):






   """simple docstring"""
   def 		_lowerCamelCase (self				)    ->     Dict:
        lowercase_					:       Dict     				=					[
            '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(lowerCAmelCase_				)				)
   def 		_lowerCamelCase (self				)    ->     Tuple:
        lowercase_					:       str     				=					[
            'unet/diffusion_pytorch_model.bin',
            'unet/diffusion_pytorch_model.safetensors',
        ]
        self.assertTrue(is_safetensors_compatible(lowerCAmelCase_				)				)
   def 		_lowerCamelCase (self				)    ->     Optional[Any]:
        lowercase_					:       Dict     				=					[
            '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(lowerCAmelCase_				)				)
   def 		_lowerCamelCase (self				)    ->     Any:
        lowercase_					:       Any     				=					[
            'text_encoder/pytorch_model.bin',
            'text_encoder/model.safetensors',
        ]
        self.assertTrue(is_safetensors_compatible(lowerCAmelCase_				)				)
   def 		_lowerCamelCase (self				)    ->     int:
        lowercase_					:       Optional[Any]     				=					[
            '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(lowerCAmelCase_				)				)
   def 		_lowerCamelCase (self				)    ->     List[Any]:
        lowercase_					:       List[str]     				=					[
            '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',
        ]
        lowercase_					:       str     				=					'fp16'
        self.assertTrue(is_safetensors_compatible(lowerCAmelCase_       ,				variant=lowerCAmelCase_				)				)
   def 		_lowerCamelCase (self				)    ->     Optional[Any]:
        lowercase_					:       Any     				=					[
            'unet/diffusion_pytorch_model.fp16.bin',
            'unet/diffusion_pytorch_model.fp16.safetensors',
        ]
        lowercase_					:       int     				=					'fp16'
        self.assertTrue(is_safetensors_compatible(lowerCAmelCase_       ,				variant=lowerCAmelCase_				)				)
   def 		_lowerCamelCase (self				)    ->     Any:
        # pass variant but use the non-variant filenames
        lowercase_					:       int     				=					[
            'unet/diffusion_pytorch_model.bin',
            'unet/diffusion_pytorch_model.safetensors',
        ]
        lowercase_					:       Dict     				=					'fp16'
        self.assertTrue(is_safetensors_compatible(lowerCAmelCase_       ,				variant=lowerCAmelCase_				)				)
   def 		_lowerCamelCase (self				)    ->     Dict:
        lowercase_					:       Union[str, Any]     				=					[
            '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',
        ]
        lowercase_					:       Tuple     				=					'fp16'
        self.assertFalse(is_safetensors_compatible(lowerCAmelCase_       ,				variant=lowerCAmelCase_				)				)
   def 		_lowerCamelCase (self				)    ->     Tuple:
        lowercase_					:       str     				=					[
            'text_encoder/pytorch_model.fp16.bin',
            'text_encoder/model.fp16.safetensors',
        ]
        lowercase_					:       List[str]     				=					'fp16'
        self.assertTrue(is_safetensors_compatible(lowerCAmelCase_       ,				variant=lowerCAmelCase_				)				)
   def 		_lowerCamelCase (self				)    ->     List[Any]:
        # pass variant but use the non-variant filenames
        lowercase_					:       List[Any]     				=					[
            'text_encoder/pytorch_model.bin',
            'text_encoder/model.safetensors',
        ]
        lowercase_					:       Optional[int]     				=					'fp16'
        self.assertTrue(is_safetensors_compatible(lowerCAmelCase_       ,				variant=lowerCAmelCase_				)				)





   def 		_lowerCamelCase (self				)    ->     List[str]:
        lowercase_					:       Tuple     				=					[
            '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',
        ]
        lowercase_					:       int     				=					'fp16'
        self.assertFalse(is_safetensors_compatible(lowerCAmelCase_       ,				variant=lowerCAmelCase_				)				)





'''simple docstring'''




class       UpperCAmelCase__  (       _snake_case			):






   """simple docstring"""
   pass



class       UpperCAmelCase__  (       _snake_case			):






   """simple docstring"""
   pass



class       UpperCAmelCase__  :






   """simple docstring"""
   def __init__(self				)    ->     List[str]:
        lowercase_					:       Optional[int]     				=					[
            [],
            [],
            [],
        ]
   def 		_lowerCamelCase (self       ,				_a       ,				_a				)    ->     None:
        try:
             if len(self.queues[priority]				) >= 100:
                  raise OverflowError('Maximum queue size is 100'				)
             self.queues[priority].append(_a				)
        except IndexError:
             raise ValueError('Valid priorities are 0, 1, and 2'				)
   def 		_lowerCamelCase (self				)    ->     int:
        for queue in self.queues:
             if queue:
                  return queue.pop(0				)
        raise UnderFlowError('All queues are empty'				)





   def __str__(self				)    ->     str:
        return "\n".join(f'''Priority {i}: {q}''' for i, q in enumerate(self.queues				)				)



class       UpperCAmelCase__  :






   """simple docstring"""
   def __init__(self				)    ->     str:
        lowercase_					:       List[Any]     				=					[]
   def 		_lowerCamelCase (self       ,				_a				)    ->     None:
        if len(self.queue				) == 100:
             raise OverFlowError('Maximum queue size is 100'				)
        self.queue.append(_a				)
   def 		_lowerCamelCase (self				)    ->     int:
        if not self.queue:
             raise UnderFlowError('The queue is empty'				)
        else:
             lowercase_					:       Tuple     				=					min(self.queue				)
             self.queue.remove(_a				)
             return data





   def __str__(self				)    ->     str:
        return str(self.queue				)



def _UpperCamelCase   (       ):
     lowercase_					:       Any     				=					FixedPriorityQueue()
     fpq.enqueue(0  ,       10							)
     fpq.enqueue(1  ,       70							)
     fpq.enqueue(0  ,       100							)
     fpq.enqueue(2  ,       1							)
     fpq.enqueue(2  ,       5							)
     fpq.enqueue(1  ,       7							)
     fpq.enqueue(2  ,       4							)
     fpq.enqueue(1  ,       64							)
     fpq.enqueue(0  ,       128							)
     print(SCREAMING_SNAKE_CASE_							)
     print(fpq.dequeue()							)
     print(fpq.dequeue()							)
     print(fpq.dequeue()							)
     print(fpq.dequeue()							)
     print(fpq.dequeue()							)
     print(SCREAMING_SNAKE_CASE_							)
     print(fpq.dequeue()							)
     print(fpq.dequeue()							)
     print(fpq.dequeue()							)
     print(fpq.dequeue()							)
     print(fpq.dequeue()							)

def _UpperCamelCase   (       ):
     lowercase_					:       Optional[int]     				=					ElementPriorityQueue()
     epq.enqueue(10							)
     epq.enqueue(70							)
     epq.enqueue(100							)
     epq.enqueue(1							)
     epq.enqueue(5							)
     epq.enqueue(7							)
     epq.enqueue(4							)
     epq.enqueue(64							)
     epq.enqueue(128							)
     print(SCREAMING_SNAKE_CASE_							)
     print(epq.dequeue()							)
     print(epq.dequeue()							)
     print(epq.dequeue()							)
     print(epq.dequeue()							)
     print(epq.dequeue()							)
     print(SCREAMING_SNAKE_CASE_							)
     print(epq.dequeue()							)
     print(epq.dequeue()							)
     print(epq.dequeue()							)
     print(epq.dequeue()							)
     print(epq.dequeue()							)


if __name__ == "__main__":
 fixed_priority_queue()
 element_priority_queue()




