





'''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


lowercase__						:      Optional[Any]	=    logging.get_logger(__name__)

lowercase__						:      int	=    {
    '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     __lowerCAmelCase					(   __magic_name__			):






       """simple docstring"""
       _snake_case     :					List[str]						    =   'longformer'





       def __init__(							self       :		List[Any]	,			lowerCAmelCase__       :		Union[List[int], int] = 512	,			lowerCAmelCase__       :		int = 2	,			lowerCAmelCase__       :		int = 1	,			lowerCAmelCase__       :		int = 0	,			lowerCAmelCase__       :		int = 2	,			lowerCAmelCase__       :		int = 30522	,			lowerCAmelCase__       :		int = 768	,			lowerCAmelCase__       :		int = 12	,			lowerCAmelCase__       :		int = 12	,			lowerCAmelCase__       :		int = 3072	,			lowerCAmelCase__       :		str = "gelu"	,			lowerCAmelCase__       :		float = 0.1	,			lowerCAmelCase__       :		float = 0.1	,			lowerCAmelCase__       :		int = 512	,			lowerCAmelCase__       :		int = 2	,			lowerCAmelCase__       :		float = 0.02	,			lowerCAmelCase__       :		float = 1e-1_2	,			lowerCAmelCase__       :		bool = False	,			**lowerCAmelCase__       :		Dict	,			)   ->					Tuple:

            '''simple docstring'''




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

            _UpperCamelCase       =	attention_window
            _UpperCamelCase       =	sep_token_id
            _UpperCamelCase       =	bos_token_id
            _UpperCamelCase       =	eos_token_id
            _UpperCamelCase       =	vocab_size
            _UpperCamelCase       =	hidden_size
            _UpperCamelCase       =	num_hidden_layers
            _UpperCamelCase       =	num_attention_heads
            _UpperCamelCase       =	hidden_act
            _UpperCamelCase       =	intermediate_size
            _UpperCamelCase       =	hidden_dropout_prob
            _UpperCamelCase       =	attention_probs_dropout_prob
            _UpperCamelCase       =	max_position_embeddings
            _UpperCamelCase       =	type_vocab_size
            _UpperCamelCase       =	initializer_range
            _UpperCamelCase       =	layer_norm_eps
            _UpperCamelCase       =	onnx_export

class     __lowerCAmelCase					(   __magic_name__			):






       """simple docstring"""





       def __init__(							self       :		Tuple	,			lowerCAmelCase__       :		"PretrainedConfig"	,			lowerCAmelCase__       :		str = "default"	,			lowerCAmelCase__       :		"List[PatchingSpec]" = None					)   ->					List[str]:

            '''simple docstring'''




            super().__init__(lowerCAmelCase__	,			lowerCAmelCase__	,			lowerCAmelCase__					)
            _UpperCamelCase       =	True





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

            '''simple docstring'''




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





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

            '''simple docstring'''




            _UpperCamelCase       =	super().outputs
            if self.task == "default":
                 _UpperCamelCase       =	{0: '''batch'''}
            return outputs





       @property
       def snake_case__						(							self       :		Tuple					)   ->					float:

            '''simple docstring'''




            return 1e-4





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

            '''simple docstring'''




            return max(super().default_onnx_opset	,			14					)







       def snake_case__						(							self       :		Tuple	,			lowerCAmelCase__       :		"PreTrainedTokenizerBase"	,			lowerCAmelCase__       :		int = -1	,			lowerCAmelCase__       :		int = -1	,			lowerCAmelCase__       :		bool = False	,			lowerCAmelCase__       :		Optional[TensorType] = None	,			)   ->					Mapping[str, Any]:

            '''simple docstring'''




            _UpperCamelCase       =	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
            _UpperCamelCase       =	torch.zeros_like(inputs['''input_ids''']					)
            # make every second token global
            _UpperCamelCase       =	1

            return inputs










'''simple docstring'''

def  a__    (    lowercase :					int, lowercase :					int				)		->		int:





     """simple docstring"""

     return x if y == 0 else greatest_common_divisor(lowercase, x % y				)







def  a__    (    lowercase :					int, lowercase :					int				)		->		int:





     """simple docstring"""

     return (x * y) // greatest_common_divisor(lowercase, lowercase				)







def  a__    (    lowercase :					int = 20				)		->		int:





     """simple docstring"""

     _UpperCamelCase       =	1
     for i in range(1, n + 1				):
          _UpperCamelCase       =	lcm(lowercase, lowercase				)
     return g


if __name__ == "__main__":
   print(F"""{solution() = }""")



