




'''simple docstring'''

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

a       :						Tuple								=		frozenset(['''prompt''', '''negative_prompt'''])

a       :						List[str]								=		frozenset([])

a       :						Optional[Any]								=		frozenset(['''image'''])

a       :						List[str]								=		frozenset(
    [
        '''image''',
        '''height''',
        '''width''',
        '''guidance_scale''',
    ]
)

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

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

a       :						Optional[int]								=		frozenset(['''prompt''', '''image''', '''negative_prompt'''])

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

a       :						Union[str, Any]								=		frozenset(['''prompt''', '''image''', '''mask_image''', '''negative_prompt'''])

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

a       :						List[str]								=		frozenset(['''image''', '''mask_image'''])

a       :						List[Any]								=		frozenset(
    [
        '''example_image''',
        '''image''',
        '''mask_image''',
        '''height''',
        '''width''',
        '''guidance_scale''',
    ]
)

a       :						Optional[Any]								=		frozenset(['''example_image''', '''image''', '''mask_image'''])

a       :						Union[str, Any]								=		frozenset(['''class_labels'''])

a       :						List[Any]								=		frozenset(['''class_labels'''])

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

a       :						Union[str, Any]								=		frozenset([])

a       :						Any								=		frozenset(['''batch_size'''])

a       :						Union[str, Any]								=		frozenset([])

a       :						str								=		frozenset(
    [
        '''prompt''',
        '''audio_length_in_s''',
        '''guidance_scale''',
        '''negative_prompt''',
        '''prompt_embeds''',
        '''negative_prompt_embeds''',
        '''cross_attention_kwargs''',
    ]
)

a       :						Tuple								=		frozenset(['''prompt''', '''negative_prompt'''])
a       :						List[str]								=		frozenset(['''input_tokens'''])

a       :						List[str]								=		frozenset(['''input_tokens'''])











import os





def 						__A						(      ) ->			Dict:
	with open(os.path.dirname(__lowerCamelCase       ) + """/p022_names.txt"""       ) as file:
		a									=				str(file.readlines()[0]       )
		a									=				names.replace("""\""""				,     """"""       ).split(""","""       )

	names.sort()

	a									=				0
	a									=				0

	for i, name in enumerate(__lowerCamelCase       ):
		for letter in name:
			name_score += ord(__lowerCamelCase       ) - 64

		total_score += (i + 1) * name_score
		a									=				0
	return total_score


if __name__ == "__main__":
		print(solution())

