
"""simple docstring"""




from collections import OrderedDict
from typing import Mapping

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


snake_case					  =						logging.get_logger(__name__)

snake_case					  =						{
    "squeezebert/squeezebert-uncased": (
        "https://huggingface.co/squeezebert/squeezebert-uncased/resolve/main/config.json"
    ),
    "squeezebert/squeezebert-mnli": "https://huggingface.co/squeezebert/squeezebert-mnli/resolve/main/config.json",
    "squeezebert/squeezebert-mnli-headless": (
        "https://huggingface.co/squeezebert/squeezebert-mnli-headless/resolve/main/config.json"
    ),
}




class 	UpperCamelCase      (			__magic_name__ ):

				"""simple docstring"""



				UpperCAmelCase_							: Optional[Any]		    =							SQUEEZEBERT_PRETRAINED_CONFIG_ARCHIVE_MAP
				UpperCAmelCase_							: Union[str, Any]		    =							'squeezebert'


				def __init__(							self						,      lowercase__=30522						,      lowercase__=768						,      lowercase__=12						,      lowercase__=12						,      lowercase__=3072						,      lowercase__="gelu"						,      lowercase__=0.1						,      lowercase__=0.1						,      lowercase__=512						,      lowercase__=2						,      lowercase__=0.02						,      lowercase__=1E-12						,      lowercase__=0						,      lowercase__=768						,      lowercase__=4						,      lowercase__=4						,      lowercase__=4						,      lowercase__=1						,      lowercase__=4						,      lowercase__=4						,      **lowercase__						,      )       ->       Tuple:
									"""simple docstring"""







									super().__init__(pad_token_id=_A						,      **_A     )

									SCREAMING_SNAKE_CASE           =      vocab_size
									SCREAMING_SNAKE_CASE           =      hidden_size
									SCREAMING_SNAKE_CASE           =      num_hidden_layers
									SCREAMING_SNAKE_CASE           =      num_attention_heads
									SCREAMING_SNAKE_CASE           =      hidden_act
									SCREAMING_SNAKE_CASE           =      intermediate_size
									SCREAMING_SNAKE_CASE           =      hidden_dropout_prob
									SCREAMING_SNAKE_CASE           =      attention_probs_dropout_prob
									SCREAMING_SNAKE_CASE           =      max_position_embeddings
									SCREAMING_SNAKE_CASE           =      type_vocab_size
									SCREAMING_SNAKE_CASE           =      initializer_range
									SCREAMING_SNAKE_CASE           =      layer_norm_eps
									SCREAMING_SNAKE_CASE           =      embedding_size
									SCREAMING_SNAKE_CASE           =      q_groups
									SCREAMING_SNAKE_CASE           =      k_groups
									SCREAMING_SNAKE_CASE           =      v_groups
									SCREAMING_SNAKE_CASE           =      post_attention_groups
									SCREAMING_SNAKE_CASE           =      intermediate_groups
									SCREAMING_SNAKE_CASE           =      output_groups






class 	UpperCamelCase      (			__magic_name__ ):

				"""simple docstring"""



				@property
				def 				A   (							self     )       ->       Mapping[str, Mapping[int, str]]:
									"""simple docstring"""







									if self.task == "multiple-choice":
														SCREAMING_SNAKE_CASE           =      {0: 'batch', 1: 'choice', 2: 'sequence'}
									else:
														SCREAMING_SNAKE_CASE           =      {0: 'batch', 1: 'sequence'}
									return OrderedDict(
									    [
									        ('input_ids', dynamic_axis),
									        ('attention_mask', dynamic_axis),
									        ('token_type_ids', dynamic_axis),
									    ]     )


'''simple docstring'''





def 							snake_case				(		UpperCAmelCase						)->      list:







      """simple docstring"""
      __A													=      1.3
      __A													=      len(UpperCAmelCase						)
      __A													=      False

      while not completed:
            # Update the gap value for a next comb
            __A													=      int(gap / shrink_factor						)
            if gap <= 1:
                  __A													=      True

            __A													=      0
            while index + gap < len(UpperCAmelCase						):
                  if data[index] > data[index + gap]:
                        # Swap values
                        __A						,   __A													=      data[index + gap], data[index]
                        __A													=      False
                  index += 1

      return data


if __name__ == "__main__":
 import doctest

 doctest.testmod()

 a__		: Optional[Any]  							=							input("Enter numbers separated by a comma:\n").strip()
 a__		: Union[str, Any]  							=							[int(item) for item in user_input.split(",")]
 print(comb_sort(unsorted))






