




"""simple docstring"""







import math

from ...configuration_utils import PretrainedConfig
from ...utils import logging


a      =							logging.get_logger(__name__)

a      =							{
    'facebook/data2vec-base-960h': 'https://huggingface.co/facebook/data2vec-audio-base-960h/resolve/main/config.json',
    # See all Data2VecAudio models at https://huggingface.co/models?filter=data2vec-audio
}






class       SCREAMING_SNAKE_CASE__					(					_a					):
						_a    						=						'data2vec-audio'


						def __init__(							self				:			str						,						lowerCAmelCase				:			Optional[Any]=32						,						lowerCAmelCase				:			Union[str, Any]=768						,						lowerCAmelCase				:			Optional[Any]=12						,						lowerCAmelCase				:			Any=12						,						lowerCAmelCase				:			Optional[int]=3072						,						lowerCAmelCase				:			Optional[int]="gelu"						,						lowerCAmelCase				:			List[Any]=0.1						,						lowerCAmelCase				:			List[Any]=0.1						,						lowerCAmelCase				:			str=0.1						,						lowerCAmelCase				:			int=0.0						,						lowerCAmelCase				:			str=0.1						,						lowerCAmelCase				:			Dict=0.1						,						lowerCAmelCase				:			Tuple=0.02						,						lowerCAmelCase				:			Optional[Any]=1e-5						,						lowerCAmelCase				:			Tuple="gelu"						,						lowerCAmelCase				:			int=(512, 512, 512, 512, 512, 512, 512)						,						lowerCAmelCase				:			str=(5, 2, 2, 2, 2, 2, 2)						,						lowerCAmelCase				:			List[str]=(10, 3, 3, 3, 3, 2, 2)						,						lowerCAmelCase				:			int=False						,						lowerCAmelCase				:			int=16						,						lowerCAmelCase				:			str=19						,						lowerCAmelCase				:			Dict=5						,						lowerCAmelCase				:			List[Any]=0.05						,						lowerCAmelCase				:			str=10						,						lowerCAmelCase				:			Any=2						,						lowerCAmelCase				:			Union[str, Any]=0.0						,						lowerCAmelCase				:			Tuple=10						,						lowerCAmelCase				:			str=0						,						lowerCAmelCase				:			str="sum"						,						lowerCAmelCase				:			List[Any]=False						,						lowerCAmelCase				:			List[str]=False						,						lowerCAmelCase				:			List[str]=256						,						lowerCAmelCase				:			List[Any]=(512, 512, 512, 512, 1500)						,						lowerCAmelCase				:			Optional[int]=(5, 3, 3, 1, 1)						,						lowerCAmelCase				:			Tuple=(1, 2, 3, 1, 1)						,						lowerCAmelCase				:			str=512						,						lowerCAmelCase				:			Tuple=0						,						lowerCAmelCase				:			Dict=1						,						lowerCAmelCase				:			Optional[Any]=2						,						lowerCAmelCase				:			Any=False						,						lowerCAmelCase				:			Union[str, Any]=3						,						lowerCAmelCase				:			Any=2						,						lowerCAmelCase				:			List[str]=3						,						lowerCAmelCase				:			str=None						,						**lowerCAmelCase				:			Any						,						):
										super().__init__(**lowerCAmelCase						,						pad_token_id=lowerCAmelCase						,						bos_token_id=lowerCAmelCase						,						eos_token_id=lowerCAmelCase					)
										lowerCAmelCase  =				hidden_size
										lowerCAmelCase  =				feat_extract_activation
										lowerCAmelCase  =				list(lowerCAmelCase					)
										lowerCAmelCase  =				list(lowerCAmelCase					)
										lowerCAmelCase  =				list(lowerCAmelCase					)
										lowerCAmelCase  =				conv_bias
										lowerCAmelCase  =				num_conv_pos_embeddings
										lowerCAmelCase  =				num_conv_pos_embedding_groups
										lowerCAmelCase  =				conv_pos_kernel_size
										lowerCAmelCase  =				len(self.conv_dim					)
										lowerCAmelCase  =				num_hidden_layers
										lowerCAmelCase  =				intermediate_size
										lowerCAmelCase  =				hidden_act
										lowerCAmelCase  =				num_attention_heads
										lowerCAmelCase  =				hidden_dropout
										lowerCAmelCase  =				attention_dropout
										lowerCAmelCase  =				activation_dropout
										lowerCAmelCase  =				feat_proj_dropout
										lowerCAmelCase  =				final_dropout
										lowerCAmelCase  =				layerdrop
										lowerCAmelCase  =				layer_norm_eps
										lowerCAmelCase  =				initializer_range
										lowerCAmelCase  =				vocab_size
										lowerCAmelCase  =				use_weighted_layer_sum

										if (
										    (len(self.conv_stride					) != self.num_feat_extract_layers)
										    or (len(self.conv_kernel					) != self.num_feat_extract_layers)
										    or (len(self.conv_dim					) != self.num_feat_extract_layers)
										):
														raise ValueError(
														    """Configuration for convolutional layers is incorrect. It is required that `len(config.conv_dim)` =="""
														    """ `len(config.conv_stride)` == `len(config.conv_kernel)`, but is `len(config.conv_dim) ="""
														    f''' {len(self.conv_dim					)}`, `len(config.conv_stride) = {len(self.conv_stride					)}`,'''
														    f''' `len(config.conv_kernel) = {len(self.conv_kernel					)}`.'''					)

										# fine-tuning config parameters for SpecAugment: https://arxiv.org/abs/1904.08779
										lowerCAmelCase  =				mask_time_prob
										lowerCAmelCase  =				mask_time_length
										lowerCAmelCase  =				mask_time_min_masks
										lowerCAmelCase  =				mask_feature_prob
										lowerCAmelCase  =				mask_feature_length
										lowerCAmelCase  =				mask_feature_min_masks

										# ctc loss
										lowerCAmelCase  =				ctc_loss_reduction
										lowerCAmelCase  =				ctc_zero_infinity

										# adapter
										lowerCAmelCase  =				add_adapter
										lowerCAmelCase  =				adapter_kernel_size
										lowerCAmelCase  =				adapter_stride
										lowerCAmelCase  =				num_adapter_layers
										lowerCAmelCase  =				output_hidden_size or hidden_size

										# SequenceClassification-specific parameter. Feel free to ignore for other classes.
										lowerCAmelCase  =				classifier_proj_size

										# XVector-specific parameters. Feel free to ignore for other classes.
										lowerCAmelCase  =				list(lowerCAmelCase					)
										lowerCAmelCase  =				list(lowerCAmelCase					)
										lowerCAmelCase  =				list(lowerCAmelCase					)
										lowerCAmelCase  =				xvector_output_dim




						@property
						def   __lowercase (							self				:			str					):
										return math.prod(self.conv_stride					)











"""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()





