
"""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


_A			:       Dict   		=       logging.get_logger(__name__)

_A			:       Dict   		=       {
    """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_						):
   __lowerCAmelCase            =				"""longformer"""
   def __init__(			self	,    _a = 512	,    _a = 2	,    _a = 1	,    _a = 0	,    _a = 2	,    _a = 30_522	,    _a = 768	,    _a = 12	,    _a = 12	,    _a = 3_072	,    _a = "gelu"	,    _a = 0.1	,    _a = 0.1	,    _a = 512	,    _a = 2	,    _a = 0.0_2	,    _a = 1E-12	,    _a = False	,    **_a	,    ):
          super().__init__(pad_token_id=_a	,    **_a				)

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


class 		a__						(      a_						):
   def __init__(			self	,    _a	,    _a = "default"	,    _a = None				):
          super().__init__(_a	,    _a	,    _a				)
          lowercase    :				int       		=							True
   @property
   def 			__magic_name__			(			self				):
          if self.task == "multiple-choice":
                 lowercase    :				int       		=							{0: "batch", 1: "choice", 2: "sequence"}
          else:
                 lowercase    :				Optional[Any]       		=							{0: "batch", 1: "sequence"}
          return OrderedDict(
              [
                  ("input_ids", dynamic_axis),
                  ("attention_mask", dynamic_axis),
                  ("global_attention_mask", dynamic_axis),
              ]				)
   @property
   def 			__magic_name__			(			self				):
          lowercase    :				str       		=							super().outputs
          if self.task == "default":
                 lowercase    :				List[str]       		=							{0: "batch"}
          return outputs
   @property
   def 			__magic_name__			(			self				):
          return 1E-4
   @property
   def 			__magic_name__			(			self				):
          # needs to be >= 14 to support tril operator
          return max(super().default_onnx_opset	,    14				)

   def 			__magic_name__			(			self	,    _a	,    _a = -1	,    _a = -1	,    _a = False	,    _a = None	,    ):
          lowercase    :				Optional[Any]       		=							super().generate_dummy_inputs(
              preprocessor=_a	,    batch_size=_a	,    seq_length=_a	,    is_pair=_a	,    framework=_a				)
          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
          lowercase    :				List[Any]       		=							torch.zeros_like(inputs["input_ids"]				)
          # make every second token global
          lowercase    :				List[Any]       		=							1

          return inputs




"""simple docstring"""




def   __magic_name__	(      __snake_case				:       int     , __snake_case				:       int     , __snake_case				:       int  ) ->				float:
       lowercase    :				List[Any]       		=							(num_of_terms / 2) * (2 * first_term + (num_of_terms - 1) * common_diff)
       # formula for sum of series
       return total


def   __magic_name__	(      ) ->				int:
       print(sum_of_series(1     , 1     , 10  )  )


if __name__ == "__main__":
   import doctest

   doctest.testmod()


