





'''simple docstring'''





import warnings
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			       =      logging.get_logger(__name__)

_lowerCamelCase			       =      {
    'nvidia/segformer-b0-finetuned-ade-512-512': (
        'https://huggingface.co/nvidia/segformer-b0-finetuned-ade-512-512/resolve/main/config.json'
    ),
    # See all SegFormer models at https://huggingface.co/models?filter=segformer
}







class 			__A       (      lowerCamelCase__  ):




      """simple docstring"""







      UpperCAmelCase__						=      """segformer"""


      def __init__(		self      ,							a__=3      ,							a__=4      ,							a__=[2, 2, 2, 2]      ,							a__=[8, 4, 2, 1]      ,							a__=[32, 64, 160, 256]      ,							a__=[7, 3, 3, 3]      ,							a__=[4, 2, 2, 2]      ,							a__=[1, 2, 5, 8]      ,							a__=[4, 4, 4, 4]      ,							a__="gelu"      ,							a__=0.0      ,							a__=0.0      ,							a__=0.1      ,							a__=0.02      ,							a__=0.1      ,							a__=1e-6      ,							a__=256      ,							a__=255      ,							**a__      ,							):



             """simple docstring"""





             super().__init__(**a__)

             if "reshape_last_stage" in kwargs and kwargs["reshape_last_stage"] is False:
                    warnings.warn(
                        '''Reshape_last_stage is set to False in this config. This argument is deprecated and will soon be'''
                        ''' removed, as the behaviour will default to that of reshape_last_stage = True.'''      ,							a__      ,							)

             _lowerCamelCase							:     Union[str, Any]	=		num_channels
             _lowerCamelCase							:     Any	=		num_encoder_blocks
             _lowerCamelCase							:     List[str]	=		depths
             _lowerCamelCase							:     int	=		sr_ratios
             _lowerCamelCase							:     List[Any]	=		hidden_sizes
             _lowerCamelCase							:     List[Any]	=		patch_sizes
             _lowerCamelCase							:     Any	=		strides
             _lowerCamelCase							:     Tuple	=		mlp_ratios
             _lowerCamelCase							:     Union[str, Any]	=		num_attention_heads
             _lowerCamelCase							:     Any	=		hidden_act
             _lowerCamelCase							:     Optional[Any]	=		hidden_dropout_prob
             _lowerCamelCase							:     List[Any]	=		attention_probs_dropout_prob
             _lowerCamelCase							:     Union[str, Any]	=		classifier_dropout_prob
             _lowerCamelCase							:     Dict	=		initializer_range
             _lowerCamelCase							:     Union[str, Any]	=		drop_path_rate
             _lowerCamelCase							:     Tuple	=		layer_norm_eps
             _lowerCamelCase							:     Tuple	=		decoder_hidden_size
             _lowerCamelCase							:     Dict	=		kwargs.get('''reshape_last_stage'''      ,							a__)
             _lowerCamelCase							:     Tuple	=		semantic_loss_ignore_index







class 			__A       (      lowerCamelCase__  ):




      """simple docstring"""







      UpperCAmelCase__						=      version.parse("""1.11"""  )


      @property
      def 				__snake_case			(		self):



             """simple docstring"""





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


      @property
      def 				__snake_case			(		self):



             """simple docstring"""





             return 1e-4



      @property
      def 				__snake_case			(		self):



             """simple docstring"""





             return 12








def    __UpperCAmelCase(      lowercase_      ):
       # if the collection is empty, returns empty
       if collection == []:
              return []

       # get some information about the collection
       _lowerCamelCase							:     Tuple	=		len(lowercase_      )
       _lowerCamelCase							:     List[str]	=		max(lowercase_      )
       _lowerCamelCase							:     Any	=		min(lowercase_      )

       # create the counting array
       _lowerCamelCase							:     str	=		coll_max + 1 - coll_min
       _lowerCamelCase							:     Union[str, Any]	=		[0] * counting_arr_length

       # count how much a number appears in the collection
       for number in collection:
              counting_arr[number - coll_min] += 1

       # sum each position with it's predecessors. now, counting_arr[i] tells
       # us how many elements <= i has in the collection
       for i in range(1 ,    lowercase_      ):
              _lowerCamelCase							:     Union[str, Any]	=		counting_arr[i] + counting_arr[i - 1]

       # create the output collection
       _lowerCamelCase							:     Dict	=		[0] * coll_len

       # place the elements in the output, respecting the original order (stable
       # sort) from end to begin, updating counting_arr
       for i in reversed(range(0 ,    lowercase_      )      ):
              _lowerCamelCase							:     Union[str, Any]	=		collection[i]
              counting_arr[collection[i] - coll_min] -= 1

       return ordered




def    __UpperCAmelCase(      lowercase_      ):
       return "".join([chr(lowercase_      ) for i in counting_sort([ord(lowercase_      ) for c in string]      )]      )


if __name__ == "__main__":
       # Test string sort
       assert counting_sort_string('thisisthestring') == "eghhiiinrsssttt"

       _lowerCamelCase			       =      input('Enter numbers separated by a comma:\n').strip()
       _lowerCamelCase			       =      [int(item) for item in user_input.split(',')]
       print(counting_sort(unsorted))

