"""simple docstring"""






from collections import OrderedDict
from typing import Mapping

from packaging import version

from ...configuration_utils import PretrainedConfig
from ...onnx import OnnxConfig
from ...utils import logging


__lowerCAmelCase					: List[Any]        =logging.get_logger(__name__)

__lowerCAmelCase					: List[Any]        ={
    """facebook/levit-128S""": """https://huggingface.co/facebook/levit-128S/resolve/main/config.json""",
    # See all LeViT models at https://huggingface.co/models?filter=levit
}





class 				_A		( lowerCAmelCase			):
      snake_case__    :     List[str]													=			'levit'

      def __init__(		self	, __lowerCAmelCase=224	, __lowerCAmelCase=3	, __lowerCAmelCase=3	, __lowerCAmelCase=2	, __lowerCAmelCase=1	, __lowerCAmelCase=16	, __lowerCAmelCase=[128, 256, 384]	, __lowerCAmelCase=[4, 8, 12]	, __lowerCAmelCase=[4, 4, 4]	, __lowerCAmelCase=[16, 16, 16]	, __lowerCAmelCase=0	, __lowerCAmelCase=[2, 2, 2]	, __lowerCAmelCase=[2, 2, 2]	, __lowerCAmelCase=0.0_2	, **__lowerCAmelCase	, ):







            """simple docstring"""



            super().__init__(**__lowerCAmelCase		)
            lowercase														=			image_size
            lowercase														=			num_channels
            lowercase														=			kernel_size
            lowercase														=			stride
            lowercase														=			padding
            lowercase														=			hidden_sizes
            lowercase														=			num_attention_heads
            lowercase														=			depths
            lowercase														=			key_dim
            lowercase														=			drop_path_rate
            lowercase														=			patch_size
            lowercase														=			attention_ratio
            lowercase														=			mlp_ratio
            lowercase														=			initializer_range
            lowercase														=			[
                ["""Subsample""", key_dim[0], hidden_sizes[0] // key_dim[0], 4, 2, 2],
                ["""Subsample""", key_dim[0], hidden_sizes[1] // key_dim[0], 4, 2, 2],
            ]






class 				_A		( lowerCAmelCase			):
      snake_case__    :     List[str]													=			version.parse('1.11'			)

      @property
      def        A__ (		self		):







            """simple docstring"""



            return OrderedDict(
                [
                    ("""pixel_values""", {0: """batch""", 1: """num_channels""", 2: """height""", 3: """width"""}),
                ]		)







      @property
      def        A__ (		self		):







            """simple docstring"""



            return 1E-4




"""simple docstring"""






def     UpperCAmelCase__ (       lowerCAmelCase__  :str      ,	lowerCAmelCase__  :int	)				->					list:
      '''simple docstring'''


      lowercase														=			word.split()

      def justify(lowerCAmelCase__  :list      ,	lowerCAmelCase__  :int      ,	lowerCAmelCase__  :int	) -> str:
            lowercase														=			max_width - width
            lowercase														=			len(lowerCAmelCase__	)
            if len(lowerCAmelCase__	) == 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:
                  lowercase														=			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]
                  lowercase														=			spaces_to_insert_between_words * [
                      overall_spaces_count // spaces_to_insert_between_words
                  ]
                  lowercase														=			(
                      overall_spaces_count % spaces_to_insert_between_words
                  )
                  # distribute spaces via round robin to the left words
                  for i in range(lowerCAmelCase__	):
                        num_spaces_between_words_list[i] += 1
                  lowercase														=			[]
                  for i in range(lowerCAmelCase__	):
                        # 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(lowerCAmelCase__	)

      lowercase														=			[]
      lowercase														=			[]
      lowercase														=			0
      for word in words:
            if width + len(lowerCAmelCase__	) + len(lowerCAmelCase__	) <= 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(lowerCAmelCase__	)
                  width += len(lowerCAmelCase__	)
            else:
                  # justify the line and add it to result
                  answer.append(justify(lowerCAmelCase__      ,	lowerCAmelCase__      ,	lowerCAmelCase__	)	)
                  # reset new line and new width
                  lowercase							,							lowercase														=			[word], len(lowerCAmelCase__	)
      lowercase														=			max_width - width - len(lowerCAmelCase__	)
      answer.append(""" """.join(lowerCAmelCase__	) + (remaining_spaces + 1) * """ """	)
      return answer


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

       testmod()



