


def 	lowerCAmelCase_					(						__UpperCAmelCase:    Optional[Any]	,     __UpperCAmelCase:    Union[str, Any]   )   ->			List[Any]:
    UpperCamelCase__							:       int      =   word.split()

    def justify(__UpperCAmelCase:    List[str]	,     __UpperCAmelCase:    str	,     __UpperCAmelCase:    List[Any]   ) -> str:
        UpperCamelCase__							:       List[str]      =   max_width - width
        UpperCamelCase__							:       Any      =   len(__A   )
        if len(__A   ) == 1:
            # if there is only word in line
            # just insert overall_spaces_count for the remainder of line
            return line[0] + " " * overall_spaces_count
        else:
            UpperCamelCase__							:       Optional[Any]      =   words_count - 1
            # num_spaces_between_words_list[i] : tells you to insert
            # num_spaces_between_words_list[i] spaces
            # after word on line[i]
            UpperCamelCase__							:       str      =   spaces_to_insert_between_words * [
                overall_spaces_count // spaces_to_insert_between_words
            ]
            UpperCamelCase__							:       Union[str, Any]      =   (
                overall_spaces_count % spaces_to_insert_between_words
            )
            # distribute spaces via round robin to the left words
            for i in range(__A   ):
                num_spaces_between_words_list[i] += 1
            UpperCamelCase__							:       Any      =   []
            for i in range(__A   ):
                # add the word
                aligned_words_list.append(line[i]   )
                # add the spaces to insert
                aligned_words_list.append(num_spaces_between_words_list[i] * ''' '''   )
            # just add the last word to the sentence
            aligned_words_list.append(line[-1]   )
            # join the aligned words list to form a justified line
            return "".join(__A   )

    UpperCamelCase__							:       Optional[Any]      =   []
    UpperCamelCase__							:       list[str]      =   []
    UpperCamelCase__							:       Any      =   0
    for word in words:
        if width + len(__A   ) + len(__A   ) <= max_width:
            # keep adding words until we can fill out max_width
            # width = sum of length of all words (without overall_spaces_count)
            # len(word) = length of current word
            # len(line) = number of overall_spaces_count to insert between words
            line.append(__A   )
            width += len(__A   )
        else:
            # justify the line and add it to result
            answer.append(justify(__A	,     __A	,     __A   )   )
            # reset new line and new width
            UpperCamelCase__							:       List[str]      =   [word], len(__A   )
    UpperCamelCase__							:       List[Any]      =   max_width - width - len(__A   )
    answer.append(''' '''.join(__A   ) + (remaining_spaces + 1) * ''' '''   )
    return answer


if __name__ == "__main__":
  from doctest import testmod

  testmod()








import copy

from ...configuration_utils import PretrainedConfig
from ...utils import logging
from ..auto.configuration_auto import CONFIG_MAPPING


UpperCAmelCase_  							=				logging.get_logger(__name__)






class 					lowercase__ (			__lowerCamelCase       ):

   '''simple docstring'''


   a		:							Any     	=	"upernet"




   def __init__(					self,	__magic_name__=None,	__magic_name__=512,	__magic_name__=0.02,	__magic_name__=[1, 2, 3, 6],	__magic_name__=True,	__magic_name__=0.4,	__magic_name__=384,	__magic_name__=256,	__magic_name__=1,	__magic_name__=False,	__magic_name__=255,	**__magic_name__,	)				->   Dict:






       """simple docstring"""
       super().__init__(**__magic_name__							)

       if backbone_config is None:
           logger.info('''`backbone_config` is `None`. Initializing the config with the default `ResNet` backbone.'''							)
           UpperCamelCase__							:       str      =   CONFIG_MAPPING['''resnet'''](out_features=['''stage1''', '''stage2''', '''stage3''', '''stage4''']							)
       elif isinstance(__magic_name__,	__magic_name__							):
           UpperCamelCase__							:       Tuple      =   backbone_config.get('''model_type'''							)
           UpperCamelCase__							:       List[str]      =   CONFIG_MAPPING[backbone_model_type]
           UpperCamelCase__							:       Optional[int]      =   config_class.from_dict(__magic_name__							)

       UpperCamelCase__							:       Dict      =   backbone_config
       UpperCamelCase__							:       int      =   hidden_size
       UpperCamelCase__							:       int      =   initializer_range
       UpperCamelCase__							:       Dict      =   pool_scales
       UpperCamelCase__							:       Tuple      =   use_auxiliary_head
       UpperCamelCase__							:       Tuple      =   auxiliary_loss_weight
       UpperCamelCase__							:       Optional[int]      =   auxiliary_in_channels
       UpperCamelCase__							:       Optional[Any]      =   auxiliary_channels
       UpperCamelCase__							:       Any      =   auxiliary_num_convs
       UpperCamelCase__							:       Union[str, Any]      =   auxiliary_concat_input
       UpperCamelCase__							:       List[str]      =   loss_ignore_index




   def    UpperCamelCase__						(					self							)				->   Any:






       """simple docstring"""
       UpperCamelCase__							:       List[str]      =   copy.deepcopy(self.__dict__							)
       UpperCamelCase__							:       int      =   self.backbone_config.to_dict()
       UpperCamelCase__							:       Any      =   self.__class__.model_type
       return output

