



"""simple docstring"""
from collections import OrderedDict
from typing import Mapping

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


_UpperCAmelCase     =			logging.get_logger(__name__)

_UpperCAmelCase     =			{
    """xlm-mlm-en-2048""": """https://huggingface.co/xlm-mlm-en-2048/resolve/main/config.json""",
    """xlm-mlm-ende-1024""": """https://huggingface.co/xlm-mlm-ende-1024/resolve/main/config.json""",
    """xlm-mlm-enfr-1024""": """https://huggingface.co/xlm-mlm-enfr-1024/resolve/main/config.json""",
    """xlm-mlm-enro-1024""": """https://huggingface.co/xlm-mlm-enro-1024/resolve/main/config.json""",
    """xlm-mlm-tlm-xnli15-1024""": """https://huggingface.co/xlm-mlm-tlm-xnli15-1024/resolve/main/config.json""",
    """xlm-mlm-xnli15-1024""": """https://huggingface.co/xlm-mlm-xnli15-1024/resolve/main/config.json""",
    """xlm-clm-enfr-1024""": """https://huggingface.co/xlm-clm-enfr-1024/resolve/main/config.json""",
    """xlm-clm-ende-1024""": """https://huggingface.co/xlm-clm-ende-1024/resolve/main/config.json""",
    """xlm-mlm-17-1280""": """https://huggingface.co/xlm-mlm-17-1280/resolve/main/config.json""",
    """xlm-mlm-100-1280""": """https://huggingface.co/xlm-mlm-100-1280/resolve/main/config.json""",
}
class 					a	(  UpperCAmelCase__       ):
  UpperCamelCase	:				int     						=					'xlm'
  UpperCamelCase	:				Union[str, Any]     						=					{
      'hidden_size': 'emb_dim',
      'num_attention_heads': 'n_heads',
      'num_hidden_layers': 'n_layers',
      'n_words': 'vocab_size',  # For backward compatibility
  }



  def __init__(						self :					List[str]       ,		lowerCAmelCase :					Any=3_0145       ,		lowerCAmelCase :					Union[str, Any]=2048       ,		lowerCAmelCase :					Any=12       ,		lowerCAmelCase :					List[Any]=16       ,		lowerCAmelCase :					Tuple=0.1       ,		lowerCAmelCase :					Union[str, Any]=0.1       ,		lowerCAmelCase :					str=True       ,		lowerCAmelCase :					str=False       ,		lowerCAmelCase :					Optional[int]=False       ,		lowerCAmelCase :					List[Any]=False       ,		lowerCAmelCase :					Any=1       ,		lowerCAmelCase :					Optional[Any]=True       ,		lowerCAmelCase :					Dict=512       ,		lowerCAmelCase :					Any=2048**-0.5       ,		lowerCAmelCase :					str=1E-12       ,		lowerCAmelCase :					Dict=0.0_2       ,		lowerCAmelCase :					List[Any]=0       ,		lowerCAmelCase :					Dict=1       ,		lowerCAmelCase :					Any=2       ,		lowerCAmelCase :					Optional[int]=3       ,		lowerCAmelCase :					Tuple=5       ,		lowerCAmelCase :					Tuple=True       ,		lowerCAmelCase :					str="first"       ,		lowerCAmelCase :					Optional[Any]=True       ,		lowerCAmelCase :					Union[str, Any]=None       ,		lowerCAmelCase :					str=True       ,		lowerCAmelCase :					Dict=0.1       ,		lowerCAmelCase :					Union[str, Any]=5       ,		lowerCAmelCase :					List[str]=5       ,		lowerCAmelCase :					Optional[int]=0       ,		lowerCAmelCase :					int=0       ,		lowerCAmelCase :					List[str]=2       ,		lowerCAmelCase :					Union[str, Any]=0       ,		**lowerCAmelCase :					Optional[Any]       ,		)     ->					List[str]:


     '''simple docstring'''




     SCREAMING_SNAKE_CASE_: Dict     			=vocab_size
     SCREAMING_SNAKE_CASE_: Union[str, Any]     			=emb_dim
     SCREAMING_SNAKE_CASE_: Any     			=n_layers
     SCREAMING_SNAKE_CASE_: Dict     			=n_heads
     SCREAMING_SNAKE_CASE_: Any     			=dropout
     SCREAMING_SNAKE_CASE_: Optional[int]     			=attention_dropout
     SCREAMING_SNAKE_CASE_: Dict     			=gelu_activation
     SCREAMING_SNAKE_CASE_: Optional[Any]     			=sinusoidal_embeddings
     SCREAMING_SNAKE_CASE_: Optional[Any]     			=causal
     SCREAMING_SNAKE_CASE_: Optional[int]     			=asm
     SCREAMING_SNAKE_CASE_: Union[str, Any]     			=n_langs
     SCREAMING_SNAKE_CASE_: Optional[Any]     			=use_lang_emb
     SCREAMING_SNAKE_CASE_: str     			=layer_norm_eps
     SCREAMING_SNAKE_CASE_: Dict     			=bos_index
     SCREAMING_SNAKE_CASE_: Any     			=eos_index
     SCREAMING_SNAKE_CASE_: List[Any]     			=pad_index
     SCREAMING_SNAKE_CASE_: Tuple     			=unk_index
     SCREAMING_SNAKE_CASE_: Any     			=mask_index
     SCREAMING_SNAKE_CASE_: int     			=is_encoder
     SCREAMING_SNAKE_CASE_: List[str]     			=max_position_embeddings
     SCREAMING_SNAKE_CASE_: List[Any]     			=embed_init_std
     SCREAMING_SNAKE_CASE_: Dict     			=init_std
     SCREAMING_SNAKE_CASE_: List[Any]     			=summary_type
     SCREAMING_SNAKE_CASE_: int     			=summary_use_proj
     SCREAMING_SNAKE_CASE_: List[Any]     			=summary_activation
     SCREAMING_SNAKE_CASE_: str     			=summary_proj_to_labels
     SCREAMING_SNAKE_CASE_: int     			=summary_first_dropout
     SCREAMING_SNAKE_CASE_: Any     			=start_n_top
     SCREAMING_SNAKE_CASE_: Dict     			=end_n_top
     SCREAMING_SNAKE_CASE_: Optional[int]     			=mask_token_id
     SCREAMING_SNAKE_CASE_: Any     			=lang_id

     if "n_words" in kwargs:
        SCREAMING_SNAKE_CASE_: Tuple     			=kwargs["""n_words"""]

     super().__init__(pad_token_id=lowerCAmelCase       ,		bos_token_id=lowerCAmelCase       ,		**lowerCAmelCase		)







class 					a	(  UpperCAmelCase__       ):



  @property
  def 	lowerCamelCase__       (						self :					Union[str, Any]		)     ->					Mapping[str, Mapping[int, str]]:


     '''simple docstring'''




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








"""simple docstring"""
def      __magic_name__				(							lowercase ):
   SCREAMING_SNAKE_CASE_: int     			=False
   while is_sorted is False:  # Until all the indices are traversed keep looping
      SCREAMING_SNAKE_CASE_: Tuple     			=True
      for i in range(0							,			len(lowercase ) - 1							,			2 ):  # iterating over all even indices
         if input_list[i] > input_list[i + 1]:
            SCREAMING_SNAKE_CASE_			,		SCREAMING_SNAKE_CASE_: Optional[int]     			=input_list[i + 1], input_list[i]
            # swapping if elements not in order
            SCREAMING_SNAKE_CASE_: Tuple     			=False

      for i in range(1							,			len(lowercase ) - 1							,			2 ):  # iterating over all odd indices
         if input_list[i] > input_list[i + 1]:
            SCREAMING_SNAKE_CASE_			,		SCREAMING_SNAKE_CASE_: str     			=input_list[i + 1], input_list[i]
            # swapping if elements not in order
            SCREAMING_SNAKE_CASE_: str     			=False
   return input_list


if __name__ == "__main__":
   print("""Enter list to be sorted""")
   _UpperCAmelCase     =			[int(x) for x in input().split()]
   # inputing elements of the list in one line
   _UpperCAmelCase     =			odd_even_sort(input_list)
   print("""The sorted list is""")
   print(sorted_list)



