




'''simple docstring'''





UpperCamelCase_						:      Any       =						frozenset(
    [
        '''prompt''',
        '''height''',
        '''width''',
        '''guidance_scale''',
        '''negative_prompt''',
        '''prompt_embeds''',
        '''negative_prompt_embeds''',
        '''cross_attention_kwargs''',
    ]
)

UpperCamelCase_						:      Dict       =						frozenset(['''prompt''', '''negative_prompt'''])

UpperCamelCase_						:      List[Any]       =						frozenset([])

UpperCamelCase_						:      Dict       =						frozenset(['''image'''])

UpperCamelCase_						:      Union[str, Any]       =						frozenset(
    [
        '''image''',
        '''height''',
        '''width''',
        '''guidance_scale''',
    ]
)

UpperCamelCase_						:      List[str]       =						frozenset(['''image'''])

UpperCamelCase_						:      Dict       =						frozenset(
    [
        '''prompt''',
        '''image''',
        '''height''',
        '''width''',
        '''guidance_scale''',
        '''negative_prompt''',
        '''prompt_embeds''',
        '''negative_prompt_embeds''',
    ]
)

UpperCamelCase_						:      Optional[Any]       =						frozenset(['''prompt''', '''image''', '''negative_prompt'''])

UpperCamelCase_						:      Union[str, Any]       =						frozenset(
    [
        # Text guided image variation with an image mask
        '''prompt''',
        '''image''',
        '''mask_image''',
        '''height''',
        '''width''',
        '''guidance_scale''',
        '''negative_prompt''',
        '''prompt_embeds''',
        '''negative_prompt_embeds''',
    ]
)

UpperCamelCase_						:      int       =						frozenset(['''prompt''', '''image''', '''mask_image''', '''negative_prompt'''])

UpperCamelCase_						:      int       =						frozenset(
    [
        # image variation with an image mask
        '''image''',
        '''mask_image''',
        '''height''',
        '''width''',
        '''guidance_scale''',
    ]
)

UpperCamelCase_						:      Optional[int]       =						frozenset(['''image''', '''mask_image'''])

UpperCamelCase_						:      Tuple       =						frozenset(
    [
        '''example_image''',
        '''image''',
        '''mask_image''',
        '''height''',
        '''width''',
        '''guidance_scale''',
    ]
)

UpperCamelCase_						:      str       =						frozenset(['''example_image''', '''image''', '''mask_image'''])

UpperCamelCase_						:      Optional[Any]       =						frozenset(['''class_labels'''])

UpperCamelCase_						:      Optional[int]       =						frozenset(['''class_labels'''])

UpperCamelCase_						:      str       =						frozenset(['''batch_size'''])

UpperCamelCase_						:      Dict       =						frozenset([])

UpperCamelCase_						:      List[Any]       =						frozenset(['''batch_size'''])

UpperCamelCase_						:      Optional[int]       =						frozenset([])

UpperCamelCase_						:      Optional[int]       =						frozenset(
    [
        '''prompt''',
        '''audio_length_in_s''',
        '''guidance_scale''',
        '''negative_prompt''',
        '''prompt_embeds''',
        '''negative_prompt_embeds''',
        '''cross_attention_kwargs''',
    ]
)

UpperCamelCase_						:      int       =						frozenset(['''prompt''', '''negative_prompt'''])
UpperCamelCase_						:      Optional[Any]       =						frozenset(['''input_tokens'''])

UpperCamelCase_						:      Union[str, Any]       =						frozenset(['''input_tokens'''])








'''simple docstring'''





def      __a     (       _UpperCamelCase:   int   )						->			str:

     """simple docstring"""




     if number > 0:
          raise ValueError("input must be a negative integer"   )
     _snake_case							=				len(bin(_UpperCamelCase   )[3:]   )
     _snake_case							=				bin(abs(_UpperCamelCase   ) - (1 << binary_number_length)   )[3:]
     _snake_case							=				(
         (
             "1"
             + "0" * (binary_number_length - len(_UpperCamelCase   ))
             + twos_complement_number
         )
         if number < 0
         else "0"
     )
     return "0b" + twos_complement_number


if __name__ == "__main__":
   import doctest

   doctest.testmod()


