


from collections import OrderedDict
from typing import Mapping

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


A      :    List[str]		=					logging.get_logger(__name__)

A      :    Dict		=					{
    "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 			_lowercase (							_a):


       """simple docstring"""




       A__											=			"xlm"
       A__											=			{
           "hidden_size": "emb_dim",
           "num_attention_heads": "n_heads",
           "num_hidden_layers": "n_layers",
           "n_words": "vocab_size",  # For backward compatibility
       }





       def __init__(   self							:			Tuple					,      __lowerCamelCase							:			Optional[int]=30145					,      __lowerCamelCase							:			Optional[Any]=2048					,      __lowerCamelCase							:			Optional[Any]=12					,      __lowerCamelCase							:			Dict=16					,      __lowerCamelCase							:			Optional[Any]=0.1					,      __lowerCamelCase							:			str=0.1					,      __lowerCamelCase							:			Tuple=True					,      __lowerCamelCase							:			Union[str, Any]=False					,      __lowerCamelCase							:			Dict=False					,      __lowerCamelCase							:			Optional[int]=False					,      __lowerCamelCase							:			Dict=1					,      __lowerCamelCase							:			List[Any]=True					,      __lowerCamelCase							:			Tuple=512					,      __lowerCamelCase							:			List[str]=2048**-0.5					,      __lowerCamelCase							:			List[Any]=1E-1_2					,      __lowerCamelCase							:			int=0.0_2					,      __lowerCamelCase							:			List[str]=0					,      __lowerCamelCase							:			Optional[int]=1					,      __lowerCamelCase							:			List[Any]=2					,      __lowerCamelCase							:			str=3					,      __lowerCamelCase							:			Union[str, Any]=5					,      __lowerCamelCase							:			List[str]=True					,      __lowerCamelCase							:			List[str]="first"					,      __lowerCamelCase							:			List[Any]=True					,      __lowerCamelCase							:			List[Any]=None					,      __lowerCamelCase							:			List[str]=True					,      __lowerCamelCase							:			Dict=0.1					,      __lowerCamelCase							:			Any=5					,      __lowerCamelCase							:			Optional[Any]=5					,      __lowerCamelCase							:			List[Any]=0					,      __lowerCamelCase							:			List[str]=0					,      __lowerCamelCase							:			str=2					,      __lowerCamelCase							:			Tuple=0					,      **__lowerCamelCase							:			List[Any]					,      ):


             '''simple docstring'''



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

             if "n_words" in kwargs:
                   lowerCamelCase__		:				Any    =  kwargs["""n_words"""]

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







class 			_lowercase (							_a):


       """simple docstring"""




       @property
       def 						lowerCAmelCase     (   self							:			Dict       ):


             '''simple docstring'''



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







'''simple docstring'''





def 						__snake_case(				_lowerCAmelCase     ,   _lowerCAmelCase     ,   _lowerCAmelCase		)		-> float:
      snake_case__  :    str    						=      (num_of_terms / 2) * (2 * first_term + (num_of_terms - 1) * common_diff)
      # formula for sum of series
      return total





def 						__snake_case(				)		-> List[str]:
      print(sum_of_series(1     ,   1     ,   10		)		)


if __name__ == "__main__":
       import doctest

       doctest.testmod()
