"""simple docstring"""


import unittest

from transformers import is_torch_available
from transformers.testing_utils import require_torch


if is_torch_available():
    import torch

    from transformers.generation import DisjunctiveConstraint




@require_torch
class  UpperCamelCase					(				unittest.TestCase   ):







       def 		a_						( self)      ->      Dict:
            snake_case_					       =					[[1, 2, 4], [1, 2, 3, 4]]
            snake_case_					       =					DisjunctiveConstraint(lowerCAmelCase__)
            self.assertTrue(isinstance(dc.token_ids,							lowerCAmelCase__))

            with self.assertRaises(lowerCAmelCase__):
                 DisjunctiveConstraint(torch.LongTensor([[1, 2, 4], [1, 2, 3]]))

            with self.assertRaises(lowerCAmelCase__):
                 DisjunctiveConstraint([torch.LongTensor([1, 2, 4]), torch.LongTensor([1, 2, 3, 4, 5])])







       def 		a_						( self)      ->      str:
            snake_case_					       =					[[1, 2], [1, 2, 3, 4]]

            with self.assertRaises(lowerCAmelCase__):
                 DisjunctiveConstraint(lowerCAmelCase__)  # fails here







       def 		a_						( self)      ->      List[str]:
            snake_case_					       =					[[1, 2, 3], [1, 2, 4]]

            snake_case_					       =					DisjunctiveConstraint(lowerCAmelCase__)

            snake_case_       ,	snake_case_       ,	snake_case_					       =					dc.update(1)
            snake_case_					       =					stepped is True and completed is False and reset is False
            self.assertTrue(lowerCAmelCase__)
            self.assertTrue(not dc.completed)
            self.assertTrue(dc.current_seq == [1])

            snake_case_       ,	snake_case_       ,	snake_case_					       =					dc.update(2)
            snake_case_					       =					stepped is True and completed is False and reset is False
            self.assertTrue(lowerCAmelCase__)
            self.assertTrue(not dc.completed)
            self.assertTrue(dc.current_seq == [1, 2])

            snake_case_       ,	snake_case_       ,	snake_case_					       =					dc.update(3)
            snake_case_					       =					stepped is True and completed is True and reset is False
            self.assertTrue(lowerCAmelCase__)
            self.assertTrue(dc.completed)  # Completed!
            self.assertTrue(dc.current_seq == [1, 2, 3])







       def 		a_						( self)      ->      Tuple:
            snake_case_					       =					[[1, 2, 3], [1, 2, 4, 5], [1, 2, 5]]

            snake_case_					       =					DisjunctiveConstraint(lowerCAmelCase__)

            snake_case_       ,	snake_case_       ,	snake_case_					       =					dc.update(1)
            self.assertTrue(not dc.completed)
            self.assertTrue(dc.current_seq == [1])

            snake_case_       ,	snake_case_       ,	snake_case_					       =					dc.update(2)
            self.assertTrue(not dc.completed)
            self.assertTrue(dc.current_seq == [1, 2])

            snake_case_       ,	snake_case_       ,	snake_case_					       =					dc.update(4)
            self.assertTrue(not dc.completed)
            self.assertTrue(dc.current_seq == [1, 2, 4])

            snake_case_       ,	snake_case_       ,	snake_case_					       =					dc.update(5)
            self.assertTrue(dc.completed)  # Completed!
            self.assertTrue(dc.current_seq == [1, 2, 4, 5])

            dc.reset()

            snake_case_       ,	snake_case_       ,	snake_case_					       =					dc.update(1)
            self.assertTrue(not dc.completed)
            self.assertTrue(dc.remaining() == 3)
            self.assertTrue(dc.current_seq == [1])

            snake_case_       ,	snake_case_       ,	snake_case_					       =					dc.update(2)
            self.assertTrue(not dc.completed)
            self.assertTrue(dc.remaining() == 2)
            self.assertTrue(dc.current_seq == [1, 2])

            snake_case_       ,	snake_case_       ,	snake_case_					       =					dc.update(5)
            self.assertTrue(dc.completed)  # Completed!
            self.assertTrue(dc.remaining() == 0)
            self.assertTrue(dc.current_seq == [1, 2, 5])







'''simple docstring'''







from queue import PriorityQueue
from typing import Any

import numpy as np





def 						snake_case_							(_a	:							dict    ,   _a	:							str    ,   _a	:							set    ,   _a	:							set    ,   _a	:							dict    ,   _a	:							dict    ,   _a	:							PriorityQueue    ,   _a	:							dict    ,   _a	:							float | int    ,   ):
    for nxt, d in graph[v]:
        if nxt in visited_forward:
            continue
        UpperCAmelCase			       =		cst_fwd.get(_a    ,   np.inf     )
        UpperCAmelCase			       =		cst_fwd[v] + d
        if new_cost_f < old_cost_f:
            queue.put((new_cost_f, nxt)     )
            UpperCAmelCase			       =		new_cost_f
            UpperCAmelCase			       =		v
        if nxt in visited_backward:
            if cst_fwd[v] + d + cst_bwd[nxt] < shortest_distance:
                UpperCAmelCase			       =		cst_fwd[v] + d + cst_bwd[nxt]
    return shortest_distance





def 						snake_case_							(_a	:							str    ,   _a	:							str    ,   _a	:							dict    ,   _a	:							dict     ):
    UpperCAmelCase			       =		-1

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

    UpperCAmelCase			       =		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():
        UpperCAmelCase       ,     UpperCAmelCase			       =		queue_forward.get()
        visited_forward.add(_a     )

        UpperCAmelCase       ,     UpperCAmelCase			       =		queue_backward.get()
        visited_backward.add(_a     )

        UpperCAmelCase			       =		pass_and_relaxation(
            _a    ,   _a    ,   _a    ,   _a    ,   _a    ,   _a    ,   _a    ,   _a    ,   _a    ,   )

        UpperCAmelCase			       =		pass_and_relaxation(
            _a    ,   _a    ,   _a    ,   _a    ,   _a    ,   _a    ,   _a    ,   _a    ,   _a    ,   )

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

    if shortest_distance != np.inf:
        UpperCAmelCase			       =		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()




