




"""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      =							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__					(					_a					):
						_a    						=						'longformer'


						def __init__(							self				:			Any						,						lowerCAmelCase				:			Union[List[int], int] = 512						,						lowerCAmelCase				:			int = 2						,						lowerCAmelCase				:			int = 1						,						lowerCAmelCase				:			int = 0						,						lowerCAmelCase				:			int = 2						,						lowerCAmelCase				:			int = 3_0522						,						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-12						,						lowerCAmelCase				:			bool = False						,						**lowerCAmelCase				:			Optional[int]						,						):
										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__					(					_a					):


						def __init__(							self				:			List[str]						,						lowerCAmelCase				:			"PretrainedConfig"						,						lowerCAmelCase				:			str = "default"						,						lowerCAmelCase				:			"List[PatchingSpec]" = None					):
										super().__init__(lowerCAmelCase						,						lowerCAmelCase						,						lowerCAmelCase					)
										lowerCAmelCase  =				True


						@property
						def   __lowercase (							self				:			List[Any]					):
										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   __lowercase (							self				:			List[Any]					):
										lowerCAmelCase  =				super().outputs
										if self.task == "default":
														lowerCAmelCase  =				{0: """batch"""}
										return outputs


						@property
						def   __lowercase (							self				:			Any					):
										return 1e-4


						@property
						def   __lowercase (							self				:			int					):
										# needs to be >= 14 to support tril operator
										return max(super().default_onnx_opset						,						14					)




						def   __lowercase (							self				:			str						,						lowerCAmelCase				:			"PreTrainedTokenizerBase"						,						lowerCAmelCase				:			int = -1						,						lowerCAmelCase				:			int = -1						,						lowerCAmelCase				:			bool = False						,						lowerCAmelCase				:			Optional[TensorType] = 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











"""simple docstring"""







from queue import PriorityQueue
from typing import Any

import numpy as np





def 							lowercase					(snake_case__   : dict      ,       snake_case__   : str      ,       snake_case__   : set      ,       snake_case__   : set      ,       snake_case__   : dict      ,       snake_case__   : dict      ,       snake_case__   : PriorityQueue      ,       snake_case__   : dict      ,       snake_case__   : float | int      ,       )     ->  float | int:


				'''simple docstring'''






				for nxt, d in graph[v]:
								if nxt in visited_forward:
												continue
								lowerCAmelCase  =				cst_fwd.get(snake_case__      ,       np.inf )
								lowerCAmelCase  =				cst_fwd[v] + d
								if new_cost_f < old_cost_f:
												queue.put((new_cost_f, nxt) )
												lowerCAmelCase  =				new_cost_f
												lowerCAmelCase  =				v
								if nxt in visited_backward:
												if cst_fwd[v] + d + cst_bwd[nxt] < shortest_distance:
																lowerCAmelCase  =				cst_fwd[v] + d + cst_bwd[nxt]
				return shortest_distance





def 							lowercase					(snake_case__   : str      ,       snake_case__   : str      ,       snake_case__   : dict      ,       snake_case__   : dict )     ->  int:


				'''simple docstring'''






				lowerCAmelCase  =				-1

				lowerCAmelCase  =				set()
				lowerCAmelCase  =				set()
				lowerCAmelCase  =				{source: 0}
				lowerCAmelCase  =				{destination: 0}
				lowerCAmelCase  =				{source: None}
				lowerCAmelCase  =				{destination: None}
				lowerCAmelCase  =				PriorityQueue()
				lowerCAmelCase  =				PriorityQueue()

				lowerCAmelCase  =				np.inf

				queue_forward.put((0, source) )
				queue_backward.put((0, destination) )

				if source == destination:
								return 0

				while not queue_forward.empty() and not queue_backward.empty():
								lowerCAmelCase ,						lowerCAmelCase  =				queue_forward.get()
								visited_forward.add(snake_case__ )

								lowerCAmelCase ,						lowerCAmelCase  =				queue_backward.get()
								visited_backward.add(snake_case__ )

								lowerCAmelCase  =				pass_and_relaxation(
								    snake_case__      ,       snake_case__      ,       snake_case__      ,       snake_case__      ,       snake_case__      ,       snake_case__      ,       snake_case__      ,       snake_case__      ,       snake_case__      ,       )

								lowerCAmelCase  =				pass_and_relaxation(
								    snake_case__      ,       snake_case__      ,       snake_case__      ,       snake_case__      ,       snake_case__      ,       snake_case__      ,       snake_case__      ,       snake_case__      ,       snake_case__      ,       )

								if cst_fwd[v_fwd] + cst_bwd[v_bwd] >= shortest_distance:
												break

				if shortest_distance != np.inf:
								lowerCAmelCase  =				shortest_distance
				return shortest_path_distance


a      =							{
    'B': [['C', 1]],
    'C': [['D', 1]],
    'D': [['F', 1]],
    'E': [['B', 1], ['G', 2]],
    'F': [],
    'G': [['F', 1]],
}
a      =							{
    'B': [['E', 1]],
    'C': [['B', 1]],
    'D': [['C', 1]],
    'F': [['D', 1], ['G', 1]],
    'E': [[None, np.inf]],
    'G': [['E', 2]],
}

if __name__ == "__main__":
		import doctest

		doctest.testmod()





