"""simple docstring"""




from __future__ import annotations

from typing import Any
class 						__A							:






     def __init__(		self				,     a__ = 6  ):
       _lowerCAmelCase						:       Union[str, Any]  			=     None
       _lowerCAmelCase						:       str  			=     None
       self.create_linked_list(__A  )






     def     __A  (		self				,     a__  ):
       _lowerCAmelCase						:       List[Any]  			=     Node()
       _lowerCAmelCase						:       int  			=     current_node
       _lowerCAmelCase						:       Tuple  			=     current_node
       _lowerCAmelCase						:       str  			=     current_node
       for _ in range(1				,     __A  ):
         _lowerCAmelCase						:       str  			=     Node()
         _lowerCAmelCase						:       int  			=     current_node
         _lowerCAmelCase						:       Optional[int]  			=     previous_node
         _lowerCAmelCase						:       Union[str, Any]  			=     current_node
       _lowerCAmelCase						:       Optional[Any]  			=     self.front
       _lowerCAmelCase						:       Optional[int]  			=     previous_node






     def     __A  (		self  ):
       return (
           self.front == self.rear
           and self.front is not None
           and self.front.data is None
       )






     def     __A  (		self  ):
       self.check_can_perform_operation()
       return self.front.data if self.front else None






     def     __A  (		self				,     a__  ):
       if self.rear is None:
         return

       self.check_is_full()
       if not self.is_empty():
         _lowerCAmelCase						:       int  			=     self.rear.next
       if self.rear:
         _lowerCAmelCase						:       int  			=     data






     def     __A  (		self  ):
       self.check_can_perform_operation()
       if self.rear is None or self.front is None:
         return None
       if self.front == self.rear:
         _lowerCAmelCase						:       Any  			=     self.front.data
         _lowerCAmelCase						:       List[str]  			=     None
         return data

       _lowerCAmelCase						:       str  			=     self.front
       _lowerCAmelCase						:       Union[str, Any]  			=     old_front.next
       _lowerCAmelCase						:       Tuple  			=     old_front.data
       _lowerCAmelCase						:       Dict  			=     None
       return data






     def     __A  (		self  ):
       if self.is_empty():
         raise Exception("""Empty Queue"""  )






     def     __A  (		self  ):
       if self.rear and self.rear.next == self.front:
         raise Exception("""Full Queue"""  )







class 						__A							:






     def __init__(		self  ):
       _lowerCAmelCase						:       List[str]  			=     None
       _lowerCAmelCase						:       Optional[Any]  			=     None
       _lowerCAmelCase						:       List[Any]  			=     None


if __name__ == "__main__":
     import doctest

     doctest.testmod()











'''simple docstring'''
from ...utils import (
    OptionalDependencyNotAvailable,
    is_torch_available,
    is_transformers_available,
    is_transformers_version,
)


try:
    if not (is_transformers_available() and is_torch_available() and is_transformers_version('''>=''', '''4.25.0''')):
        raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
    from ...utils.dummy_torch_and_transformers_objects import (
        VersatileDiffusionDualGuidedPipeline,
        VersatileDiffusionImageVariationPipeline,
        VersatileDiffusionPipeline,
        VersatileDiffusionTextToImagePipeline,
    )
else:
    from .modeling_text_unet import UNetFlatConditionModel
    from .pipeline_versatile_diffusion import VersatileDiffusionPipeline
    from .pipeline_versatile_diffusion_dual_guided import VersatileDiffusionDualGuidedPipeline
    from .pipeline_versatile_diffusion_image_variation import VersatileDiffusionImageVariationPipeline
    from .pipeline_versatile_diffusion_text_to_image import VersatileDiffusionTextToImagePipeline
