
'''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 :  Dict    							=       logging.get_logger(__name__)

_lowercase :  List[Any]    							=       {
    "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__   (  lowerCamelCase_     ):
					lowerCAmelCase_        =     '''longformer'''






					def __init__(   self				,							__SCREAMING_SNAKE_CASE = 5_12				,							__SCREAMING_SNAKE_CASE = 2				,							__SCREAMING_SNAKE_CASE = 1				,							__SCREAMING_SNAKE_CASE = 0				,							__SCREAMING_SNAKE_CASE = 2				,							__SCREAMING_SNAKE_CASE = 3_05_22				,							__SCREAMING_SNAKE_CASE = 7_68				,							__SCREAMING_SNAKE_CASE = 12				,							__SCREAMING_SNAKE_CASE = 12				,							__SCREAMING_SNAKE_CASE = 30_72				,							__SCREAMING_SNAKE_CASE = "gelu"				,							__SCREAMING_SNAKE_CASE = 0.1				,							__SCREAMING_SNAKE_CASE = 0.1				,							__SCREAMING_SNAKE_CASE = 5_12				,							__SCREAMING_SNAKE_CASE = 2				,							__SCREAMING_SNAKE_CASE = 0.02				,							__SCREAMING_SNAKE_CASE = 1E-1_2				,							__SCREAMING_SNAKE_CASE = False				,							**__SCREAMING_SNAKE_CASE				,							):


											"""simple docstring"""





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

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







class  lowerCAmelCase__   (  lowerCamelCase_     ):






					def __init__(   self				,							__SCREAMING_SNAKE_CASE				,							__SCREAMING_SNAKE_CASE = "default"				,							__SCREAMING_SNAKE_CASE = None		):


											"""simple docstring"""





											super().__init__(__SCREAMING_SNAKE_CASE				,							__SCREAMING_SNAKE_CASE				,							__SCREAMING_SNAKE_CASE		)
											lowercase_	:     Union[str, Any]													=       True






					@property
					def 	_snake_case    (   self		):


											"""simple docstring"""





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






					@property
					def 	_snake_case    (   self		):


											"""simple docstring"""





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






					@property
					def 	_snake_case    (   self		):


											"""simple docstring"""





											return 1E-4






					@property
					def 	_snake_case    (   self		):


											"""simple docstring"""





											return max(super().default_onnx_opset				,							14		)






					def 	_snake_case    (   self				,							__SCREAMING_SNAKE_CASE				,							__SCREAMING_SNAKE_CASE = -1				,							__SCREAMING_SNAKE_CASE = -1				,							__SCREAMING_SNAKE_CASE = False				,							__SCREAMING_SNAKE_CASE = None				,							):


											"""simple docstring"""





											lowercase_	:     int													=       super().generate_dummy_inputs(
											    preprocessor=__SCREAMING_SNAKE_CASE				,							batch_size=__SCREAMING_SNAKE_CASE				,							seq_length=__SCREAMING_SNAKE_CASE				,							is_pair=__SCREAMING_SNAKE_CASE				,							framework=__SCREAMING_SNAKE_CASE		)
											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_	:     Union[str, Any]													=       torch.zeros_like(inputs['''input_ids''']		)
											# make every second token global
											lowercase_	:     Optional[Any]													=       1

											return inputs





'''simple docstring'''







def 					snake_case_		(				__SCREAMING_SNAKE_CASE					: str      ,      __SCREAMING_SNAKE_CASE					: str							):



						"""simple docstring"""





						lowercase_	:     List[str]													=       len(__SCREAMING_SNAKE_CASE							)
						lowercase_	:     Optional[int]													=       []
						for i in range(len(__SCREAMING_SNAKE_CASE							) - pat_len + 1							):
												lowercase_	:     Tuple													=       True
												for j in range(__SCREAMING_SNAKE_CASE							):
																		if s[i + j] != pattern[j]:
																								lowercase_	:     List[str]													=       False
																								break
												if match_found:
																		position.append(__SCREAMING_SNAKE_CASE							)
						return position


if __name__ == "__main__":
							assert naive_pattern_search("ABCDEFG", "DE") == [3]
							print(naive_pattern_search("ABAAABCDBBABCDDEBCABC", "ABC"))



