





from __future__ import annotations

from typing import Any

class SCREAMING_SNAKE_CASE_ :





					"""simple docstring"""


					def __init__( self	,  _lowerCAmelCase = 6	):
										lowerCamelCase__       =       None
										lowerCamelCase__       =       None
										self.create_linked_list(_lowerCAmelCase	)





					def 					__magic_name__ ( self	,  _lowerCAmelCase	):
										lowerCamelCase__       =       Node()
										lowerCamelCase__       =       current_node
										lowerCamelCase__       =       current_node
										lowerCamelCase__       =       current_node
										for _ in range(1	,  _lowerCAmelCase	):
															lowerCamelCase__       =       Node()
															lowerCamelCase__       =       current_node
															lowerCamelCase__       =       previous_node
															lowerCamelCase__       =       current_node
										lowerCamelCase__       =       self.front
										lowerCamelCase__       =       previous_node





					def 					__magic_name__ ( self	):
										return (
										    self.front == self.rear
										    and self.front is not None
										    and self.front.data is None
										)





					def 					__magic_name__ ( self	):
										self.check_can_perform_operation()
										return self.front.data if self.front else None





					def 					__magic_name__ ( self	,  _lowerCAmelCase	):
										if self.rear is None:
															return

										self.check_is_full()
										if not self.is_empty():
															lowerCamelCase__       =       self.rear.next
										if self.rear:
															lowerCamelCase__       =       data





					def 					__magic_name__ ( self	):
										self.check_can_perform_operation()
										if self.rear is None or self.front is None:
															return None
										if self.front == self.rear:
															lowerCamelCase__       =       self.front.data
															lowerCamelCase__       =       None
															return data

										lowerCamelCase__       =       self.front
										lowerCamelCase__       =       old_front.next
										lowerCamelCase__       =       old_front.data
										lowerCamelCase__       =       None
										return data





					def 					__magic_name__ ( self	):
										if self.is_empty():
															raise Exception("Empty Queue"	)






					def 					__magic_name__ ( self	):
										if self.rear and self.rear.next == self.front:
															raise Exception("Full Queue"	)

class SCREAMING_SNAKE_CASE_ :





					"""simple docstring"""


					def __init__( self	):
										lowerCamelCase__       =       None
										lowerCamelCase__       =       None
										lowerCamelCase__       =       None


if __name__ == "__main__":
						import doctest

						doctest.testmod()






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_												=     logging.get_logger(__name__)

A_												=     {
    "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 SCREAMING_SNAKE_CASE_ (					lowercase_   ):





					"""simple docstring"""


					A__				 =    "longformer"





					def __init__( self	,  _lowerCAmelCase = 512	,  _lowerCAmelCase = 2	,  _lowerCAmelCase = 1	,  _lowerCAmelCase = 0	,  _lowerCAmelCase = 2	,  _lowerCAmelCase = 3_0522	,  _lowerCAmelCase = 768	,  _lowerCAmelCase = 12	,  _lowerCAmelCase = 12	,  _lowerCAmelCase = 3072	,  _lowerCAmelCase = "gelu"	,  _lowerCAmelCase = 0.1	,  _lowerCAmelCase = 0.1	,  _lowerCAmelCase = 512	,  _lowerCAmelCase = 2	,  _lowerCAmelCase = 0.02	,  _lowerCAmelCase = 1E-12	,  _lowerCAmelCase = False	,  **_lowerCAmelCase	,  ):
										super().__init__(pad_token_id=_lowerCAmelCase	,  **_lowerCAmelCase	)

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

class SCREAMING_SNAKE_CASE_ (					lowercase_   ):





					"""simple docstring"""


					def __init__( self	,  _lowerCAmelCase	,  _lowerCAmelCase = "default"	,  _lowerCAmelCase = None	):
										super().__init__(_lowerCAmelCase	,  _lowerCAmelCase	,  _lowerCAmelCase	)
										lowerCamelCase__       =       True





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





					@property
					def 					__magic_name__ ( self	):
										lowerCamelCase__       =       super().outputs
										if self.task == "default":
															lowerCamelCase__       =       {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	,  _lowerCAmelCase	,  _lowerCAmelCase = -1	,  _lowerCAmelCase = -1	,  _lowerCAmelCase = False	,  _lowerCAmelCase = None	,  ):
										lowerCamelCase__       =       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
										lowerCamelCase__       =       torch.zeros_like(inputs["input_ids"]	)
										# make every second token global
										lowerCamelCase__       =       1

										return inputs

