



"""simple docstring"""
from collections import OrderedDict
from typing import TYPE_CHECKING, Any, List, Mapping, Optional, Union

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


if TYPE_CHECKING:
   from ...onnx.config import PatchingSpec
   from ...tokenization_utils_base import PreTrainedTokenizerBase


_UpperCAmelCase   =	logging.get_logger(__name__)

_UpperCAmelCase   =	{
    "allenai/longformer-base-4096": "https://huggingface.co/allenai/longformer-base-4096/resolve/main/config.json",
    "allenai/longformer-large-4096": "https://huggingface.co/allenai/longformer-large-4096/resolve/main/config.json",
    "allenai/longformer-large-4096-finetuned-triviaqa": (
        "https://huggingface.co/allenai/longformer-large-4096-finetuned-triviaqa/resolve/main/config.json"
    ),
    "allenai/longformer-base-4096-extra.pos.embd.only": (
        "https://huggingface.co/allenai/longformer-base-4096-extra.pos.embd.only/resolve/main/config.json"
    ),
    "allenai/longformer-large-4096-extra.pos.embd.only": (
        "https://huggingface.co/allenai/longformer-large-4096-extra.pos.embd.only/resolve/main/config.json"
    ),
}
class     a		(     _a				):
  UpperCamelCase		: Dict     =    """longformer"""



  def __init__(  self       :    Dict				,						lowerCAmelCase       :    Dict = 512				,						lowerCAmelCase       :    Dict = 2				,						lowerCAmelCase       :    Optional[Any] = 1				,						lowerCAmelCase       :    List[Any] = 0				,						lowerCAmelCase       :    Optional[int] = 2				,						lowerCAmelCase       :    Tuple = 3_0522				,						lowerCAmelCase       :    Union[str, Any] = 768				,						lowerCAmelCase       :    Optional[Any] = 12				,						lowerCAmelCase       :    List[str] = 12				,						lowerCAmelCase       :    Tuple = 3072				,						lowerCAmelCase       :    Any = "gelu"				,						lowerCAmelCase       :    Dict = 0.1				,						lowerCAmelCase       :    int = 0.1				,						lowerCAmelCase       :    List[str] = 512				,						lowerCAmelCase       :    Optional[Any] = 2				,						lowerCAmelCase       :    List[Any] = 0.0_2				,						lowerCAmelCase       :    Optional[Any] = 1E-12				,						lowerCAmelCase       :    List[Any] = False				,						**lowerCAmelCase       :    Union[str, Any]				,						)   ->    List[str]:


     '''simple docstring'''




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

     SCREAMING_SNAKE_CASE_:       Union[str, Any]   	=attention_window
     SCREAMING_SNAKE_CASE_:       Union[str, Any]   	=sep_token_id
     SCREAMING_SNAKE_CASE_:       int   	=bos_token_id
     SCREAMING_SNAKE_CASE_:       Tuple   	=eos_token_id
     SCREAMING_SNAKE_CASE_:       List[Any]   	=vocab_size
     SCREAMING_SNAKE_CASE_:       Tuple   	=hidden_size
     SCREAMING_SNAKE_CASE_:       Optional[int]   	=num_hidden_layers
     SCREAMING_SNAKE_CASE_:       Optional[Any]   	=num_attention_heads
     SCREAMING_SNAKE_CASE_:       Optional[Any]   	=hidden_act
     SCREAMING_SNAKE_CASE_:       Union[str, Any]   	=intermediate_size
     SCREAMING_SNAKE_CASE_:       int   	=hidden_dropout_prob
     SCREAMING_SNAKE_CASE_:       Dict   	=attention_probs_dropout_prob
     SCREAMING_SNAKE_CASE_:       Optional[Any]   	=max_position_embeddings
     SCREAMING_SNAKE_CASE_:       int   	=type_vocab_size
     SCREAMING_SNAKE_CASE_:       str   	=initializer_range
     SCREAMING_SNAKE_CASE_:       List[Any]   	=layer_norm_eps
     SCREAMING_SNAKE_CASE_:       Dict   	=onnx_export







class     a		(     _a				):



  def __init__(  self       :    List[Any]				,						lowerCAmelCase       :    Tuple				,						lowerCAmelCase       :    Any = "default"				,						lowerCAmelCase       :    Optional[int] = None						)   ->    Dict:


     '''simple docstring'''




     super().__init__(lowerCAmelCase				,						lowerCAmelCase				,						lowerCAmelCase						)
     SCREAMING_SNAKE_CASE_:       Optional[Any]   	=True



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


     '''simple docstring'''




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



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


     '''simple docstring'''




     SCREAMING_SNAKE_CASE_:       List[Any]   	=super().outputs
     if self.task == "default":
        SCREAMING_SNAKE_CASE_:       List[Any]   	={0: 'batch'}
     return outputs



  @property
  def 		lowerCamelCase__				(  self       :    Optional[int]						)   ->    float:


     '''simple docstring'''




     return 1E-4



  @property
  def 		lowerCamelCase__				(  self       :    int						)   ->    int:


     '''simple docstring'''




     return max(super().default_onnx_opset				,						14						)





  def 		lowerCamelCase__				(  self       :    Optional[Any]				,						lowerCAmelCase       :    Optional[Any]				,						lowerCAmelCase       :    int = -1				,						lowerCAmelCase       :    Optional[int] = -1				,						lowerCAmelCase       :    Optional[Any] = False				,						lowerCAmelCase       :    Union[str, Any] = None				,						)   ->    Mapping[str, Any]:


     '''simple docstring'''




     SCREAMING_SNAKE_CASE_:       str   	=super().generate_dummy_inputs(
         preprocessor=lowerCAmelCase				,						batch_size=lowerCAmelCase				,						seq_length=lowerCAmelCase				,						is_pair=lowerCAmelCase				,						framework=lowerCAmelCase						)
     import torch

     # for some reason, replacing this code by inputs["global_attention_mask"] = torch.randint(2, inputs["input_ids"].shape, dtype=torch.int64)
     # makes the export fail randomly
     SCREAMING_SNAKE_CASE_:       Any   	=torch.zeros_like(inputs["""input_ids"""]						)
     # make every second token global
     SCREAMING_SNAKE_CASE_:       List[str]   	=1

     return inputs







def 				UpperCamelCase_(      lowerCamelCase_							, lowerCamelCase_							, lowerCamelCase_ )    ->						float:
    _lowercase       :							Tuple      		=		(num_of_terms / 2) * (2 * first_term + (num_of_terms - 1) * common_diff)
    # formula for sum of series
    return total



def 				UpperCamelCase_(      )    ->						Optional[int]:
    print(sum_of_series(1							, 1							, 10 ) )


if __name__ == "__main__":
 import doctest

 doctest.testmod()


