



'''simple docstring'''





def        lowerCamelCase  (				_snake_case  :						list[list[float]]       ):





    '''simple docstring'''


    lowercase__		       =						[]
    for data in source_data:
        for i, el in enumerate(_snake_case       ):
            if len(_snake_case       ) < i + 1:
                data_lists.append([]       )
            data_lists[i].append(float(_snake_case       )       )
    return data_lists




def        lowerCamelCase  (				_snake_case  :						list[list[float]]     ,_snake_case  :						list[int]       ):





    '''simple docstring'''


    lowercase__		       =						[]
    for dlist, weight in zip(_snake_case     ,_snake_case       ):
        lowercase__		       =						min(_snake_case       )
        lowercase__		       =						max(_snake_case       )

        lowercase__		       =						[]
        # for weight 0 score is 1 - actual score
        if weight == 0:
            for item in dlist:
                try:
                    score.append(1 - ((item - mind) / (maxd - mind))       )
                except ZeroDivisionError:
                    score.append(1       )

        elif weight == 1:
            for item in dlist:
                try:
                    score.append((item - mind) / (maxd - mind)       )
                except ZeroDivisionError:
                    score.append(0       )

        # weight not 0 or 1
        else:
            lowercase__		       =						f'''Invalid weight of {weight:f} provided'''
            raise ValueError(_snake_case       )

        score_lists.append(_snake_case       )

    return score_lists




def        lowerCamelCase  (				_snake_case  :						list[list[float]]       ):





    '''simple docstring'''


    lowercase__		       =						[0 for i in range(len(score_lists[0]       )       )]

    for slist in score_lists:
        for j, ele in enumerate(_snake_case       ):
            lowercase__		       =						final_scores[j] + ele

    return final_scores




def        lowerCamelCase  (				_snake_case  :						list[list[float]]     ,_snake_case  :						list[int]       ):





    '''simple docstring'''


    lowercase__		       =						get_data(_snake_case       )
    lowercase__		       =						calculate_each_score(_snake_case     ,_snake_case       )
    lowercase__		       =						generate_final_scores(_snake_case       )

    # append scores to source data
    for i, ele in enumerate(_snake_case       ):
        source_data[i].append(_snake_case       )

    return source_data









'''simple docstring'''





import copy
import random

from transformers import CLIPTokenizer


class 				snake_case (UpperCamelCase   ):



       def __init__(				self     ,*UpperCAmelCase_     ,**UpperCAmelCase_      )  ->							List[str]:
           super().__init__(*UpperCAmelCase_     ,**UpperCAmelCase_      )
           lowercase__		       =						{}



       def 							_a      (				self     ,UpperCAmelCase_     ,*UpperCAmelCase_     ,**UpperCAmelCase_      )  ->							str:
           lowercase__		       =						super().add_tokens(UpperCAmelCase_     ,*UpperCAmelCase_     ,**UpperCAmelCase_      )
           if num_added_tokens == 0:
               raise ValueError(
                   F'''The tokenizer already contains the token {placeholder_token}. Please pass a different'''
                   " `placeholder_token` that is not already in the tokenizer."      )



       def 							_a      (				self     ,UpperCAmelCase_     ,*UpperCAmelCase_     ,UpperCAmelCase_=1     ,**UpperCAmelCase_      )  ->							List[Any]:
           lowercase__		       =						[]
           if num_vec_per_token == 1:
               self.try_adding_tokens(UpperCAmelCase_     ,*UpperCAmelCase_     ,**UpperCAmelCase_      )
               output.append(UpperCAmelCase_      )
           else:
               lowercase__		       =						[]
               for i in range(UpperCAmelCase_      ):
                   lowercase__		       =						placeholder_token + F'''_{i}'''
                   self.try_adding_tokens(UpperCAmelCase_     ,*UpperCAmelCase_     ,**UpperCAmelCase_      )
                   output.append(UpperCAmelCase_      )
        # handle cases where there is a new placeholder token that contains the current placeholder token but is larger
           for token in self.token_map:
               if token in placeholder_token:
                   raise ValueError(
                       F'''The tokenizer already has placeholder token {token} that can get confused with'''
                       F''' {placeholder_token}keep placeholder tokens independent'''      )
           lowercase__		       =						output



       def 							_a      (				self     ,UpperCAmelCase_     ,UpperCAmelCase_=False     ,UpperCAmelCase_=1.0      )  ->							Optional[int]:
           if isinstance(UpperCAmelCase_     ,UpperCAmelCase_      ):
               lowercase__		       =						[]
               for i in range(len(UpperCAmelCase_      )      ):
                   output.append(self.replace_placeholder_tokens_in_text(text[i]     ,vector_shuffle=UpperCAmelCase_      )      )
               return output
           for placeholder_token in self.token_map:
               if placeholder_token in text:
                   lowercase__		       =						self.token_map[placeholder_token]
                   lowercase__		       =						tokens[: 1 + int(len(UpperCAmelCase_      ) * prop_tokens_to_load      )]
                   if vector_shuffle:
                       lowercase__		       =						copy.copy(UpperCAmelCase_      )
                       random.shuffle(UpperCAmelCase_      )
                   lowercase__		       =						text.replace(UpperCAmelCase_     ," ".join(UpperCAmelCase_      )      )
           return text



       def __call__(				self     ,UpperCAmelCase_     ,*UpperCAmelCase_     ,UpperCAmelCase_=False     ,UpperCAmelCase_=1.0     ,**UpperCAmelCase_      )  ->							int:
           return super().__call__(
               self.replace_placeholder_tokens_in_text(
                   UpperCAmelCase_     ,vector_shuffle=UpperCAmelCase_     ,prop_tokens_to_load=UpperCAmelCase_      )     ,*UpperCAmelCase_     ,**UpperCAmelCase_     ,)







       def 							_a      (				self     ,UpperCAmelCase_     ,*UpperCAmelCase_     ,UpperCAmelCase_=False     ,UpperCAmelCase_=1.0     ,**UpperCAmelCase_      )  ->							Optional[int]:
           return super().encode(
               self.replace_placeholder_tokens_in_text(
                   UpperCAmelCase_     ,vector_shuffle=UpperCAmelCase_     ,prop_tokens_to_load=UpperCAmelCase_      )     ,*UpperCAmelCase_     ,**UpperCAmelCase_     ,)




