





'''simple docstring'''


from queue import PriorityQueue
from typing import Any

import numpy as np


def 	__a(SCREAMING_SNAKE_CASE_  :					dict		,       SCREAMING_SNAKE_CASE_  :					str		,       SCREAMING_SNAKE_CASE_  :					set		,       SCREAMING_SNAKE_CASE_  :					set		,       SCREAMING_SNAKE_CASE_  :					dict		,       SCREAMING_SNAKE_CASE_  :					dict		,       SCREAMING_SNAKE_CASE_  :					PriorityQueue		,       SCREAMING_SNAKE_CASE_  :					dict		,       SCREAMING_SNAKE_CASE_  :					float | int		,       ):



    '''simple docstring'''





    for nxt, d in graph[v]:
        if nxt in visited_forward:
            continue
        _lowerCAmelCase				=      cst_fwd.get(SCREAMING_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 	__a(SCREAMING_SNAKE_CASE_  :					str		,       SCREAMING_SNAKE_CASE_  :					str		,       SCREAMING_SNAKE_CASE_  :					dict		,       SCREAMING_SNAKE_CASE_  :					dict    ):



    '''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(SCREAMING_SNAKE_CASE_    )

        _lowerCAmelCase			,			_lowerCAmelCase				=      queue_backward.get()
        visited_backward.add(SCREAMING_SNAKE_CASE_    )

        _lowerCAmelCase				=      pass_and_relaxation(
            SCREAMING_SNAKE_CASE_		,       SCREAMING_SNAKE_CASE_		,       SCREAMING_SNAKE_CASE_		,       SCREAMING_SNAKE_CASE_		,       SCREAMING_SNAKE_CASE_		,       SCREAMING_SNAKE_CASE_		,       SCREAMING_SNAKE_CASE_		,       SCREAMING_SNAKE_CASE_		,       SCREAMING_SNAKE_CASE_		,       )

        _lowerCAmelCase				=      pass_and_relaxation(
            SCREAMING_SNAKE_CASE_		,       SCREAMING_SNAKE_CASE_		,       SCREAMING_SNAKE_CASE_		,       SCREAMING_SNAKE_CASE_		,       SCREAMING_SNAKE_CASE_		,       SCREAMING_SNAKE_CASE_		,       SCREAMING_SNAKE_CASE_		,       SCREAMING_SNAKE_CASE_		,       SCREAMING_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


_SCREAMING_SNAKE_CASE	 =							{
    "B": [["C", 1]],
    "C": [["D", 1]],
    "D": [["F", 1]],
    "E": [["B", 1], ["G", 2]],
    "F": [],
    "G": [["F", 1]],
}
_SCREAMING_SNAKE_CASE	 =							{
    "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()









'''simple docstring'''


from ...configuration_utils import PretrainedConfig

class    lowerCAmelCase_		(		__magic_name__		):
 __lowerCamelCase						:							List[str]         =					"bert-generation"




 def __init__(	self			,     _lowerCAmelCase=50358			,     _lowerCAmelCase=1024			,     _lowerCAmelCase=24			,     _lowerCAmelCase=16			,     _lowerCAmelCase=4096			,     _lowerCAmelCase="gelu"			,     _lowerCAmelCase=0.1			,     _lowerCAmelCase=0.1			,     _lowerCAmelCase=512			,     _lowerCAmelCase=0.02			,     _lowerCAmelCase=1E-12			,     _lowerCAmelCase=0			,     _lowerCAmelCase=2			,     _lowerCAmelCase=1			,     _lowerCAmelCase="absolute"			,     _lowerCAmelCase=True			,     **_lowerCAmelCase			,     )    ->							Tuple:
     super().__init__(pad_token_id=_lowerCAmelCase			,     bos_token_id=_lowerCAmelCase			,     eos_token_id=_lowerCAmelCase			,     **_lowerCAmelCase		)

     _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				=      initializer_range
     _lowerCAmelCase				=      layer_norm_eps
     _lowerCAmelCase				=      position_embedding_type
     _lowerCAmelCase				=      use_cache


