





"""simple docstring"""
import unittest

from transformers import is_torch_available
from transformers.testing_utils import require_sentencepiece, require_tokenizers, require_torch, slow, torch_device


if is_torch_available():
       import torch

       from transformers import CamembertModel







@require_torch
@require_sentencepiece
@require_tokenizers
class 			a       (      unittest.TestCase     ):



 @slow
 def       UpperCamelCase__     (    self    ):







  """simple docstring"""






  lowerCAmelCase													=   CamembertModel.from_pretrained('camembert-base'    )
  model.to(_snake_case    )

  lowerCAmelCase													=   torch.tensor(
      [[5, 1_21, 11, 6_60, 16, 7_30, 2_55_43, 1_10, 83, 6]]							,					device=_snake_case							,					dtype=torch.long							,					)  # J'aime le camembert !
  with torch.no_grad():
   lowerCAmelCase													=   model(_snake_case    )['last_hidden_state']
  lowerCAmelCase													=   torch.Size((1, 10, 7_68)    )
  self.assertEqual(output.shape							,					_snake_case    )
  # compare the actual values for a slice.
  lowerCAmelCase													=   torch.tensor(
      [[[-0.0_254, 0.0_235, 0.1_027], [0.0_606, -0.1_811, -0.0_418], [-0.1_561, -0.1_127, 0.2_687]]]							,					device=_snake_case							,					dtype=torch.float							,					)
  # camembert = torch.hub.load('pytorch/fairseq', 'camembert.v0')
  # camembert.eval()
  # expected_slice = roberta.model.forward(input_ids)[0][:, :3, :3].detach()

  self.assertTrue(torch.allclose(output[:, :3, :3]							,					_snake_case							,					atol=1E-4    )    )












"""simple docstring"""
import math
import sys







class 			a       :



 def __init__(    self    ):







  """simple docstring"""






  lowerCAmelCase													=   0
  lowerCAmelCase													=   []
  lowerCAmelCase													=   {}  # To store the pos of node in array



 def       UpperCamelCase__     (    self    ):







  """simple docstring"""






  return self.cur_size == 0



 def       UpperCamelCase__     (    self							,					_snake_case    ):







  """simple docstring"""






  lowerCAmelCase													=   self.left(_snake_case    )
  lowerCAmelCase													=   self.right(_snake_case    )
  if lc < self.cur_size and self.array(_snake_case    )[0] < self.array(_snake_case    )[0]:
   lowerCAmelCase													=   lc
  else:
   lowerCAmelCase													=   idx
  if rc < self.cur_size and self.array(_snake_case    )[0] < self.array(_snake_case    )[0]:
   lowerCAmelCase													=   rc
  if smallest != idx:
   self.swap(_snake_case							,					_snake_case    )
   self.min_heapify(_snake_case    )



 def       UpperCamelCase__     (    self							,					_snake_case    ):







  """simple docstring"""






  lowerCAmelCase													=   self.cur_size
  self.cur_size += 1
  self.array.append((sys.maxsize, tup[1])    )
  self.decrease_key((sys.maxsize, tup[1])							,					tup[0]    )



 def       UpperCamelCase__     (    self    ):







  """simple docstring"""






  lowerCAmelCase													=   self.array[0][1]
  lowerCAmelCase													=   self.array[self.cur_size - 1]
  self.cur_size -= 1
  self.min_heapify(1    )
  del self.pos[min_node]
  return min_node



 def       UpperCamelCase__     (    self							,					_snake_case    ):







  """simple docstring"""






  return 2 * i + 1



 def       UpperCamelCase__     (    self							,					_snake_case    ):







  """simple docstring"""






  return 2 * i + 2



 def       UpperCamelCase__     (    self							,					_snake_case    ):







  """simple docstring"""






  return math.floor(i / 2    )



 def       UpperCamelCase__     (    self							,					_snake_case							,					_snake_case    ):







  """simple docstring"""






  lowerCAmelCase													=   j
  lowerCAmelCase													=   i
  lowerCAmelCase													=   self.array[i]
  lowerCAmelCase													=   self.array[j]
  lowerCAmelCase													=   temp



 def       UpperCamelCase__     (    self							,					_snake_case							,					_snake_case    ):







  """simple docstring"""






  lowerCAmelCase													=   self.pos[tup[1]]
  # assuming the new_d is atmost old_d
  lowerCAmelCase													=   (new_d, tup[1])
  while idx > 0 and self.array[self.par(_snake_case    )][0] > self.array[idx][0]:
   self.swap(_snake_case							,					self.par(_snake_case    )    )
   lowerCAmelCase													=   self.par(_snake_case    )







class 			a       :



 def __init__(    self							,					_snake_case    ):







  """simple docstring"""






  lowerCAmelCase													=   {}  # To store graph: u -> (v,w)
  lowerCAmelCase													=   num  # Number of nodes in graph
  # To store the distance from source vertex
  lowerCAmelCase													=   [0] * self.num_nodes
  lowerCAmelCase													=   [-1] * self.num_nodes  # To store the path



 def       UpperCamelCase__     (    self							,					_snake_case							,					_snake_case							,					_snake_case    ):







  """simple docstring"""






  if u in self.adjList:
   self.adjList[u].append((v, w)    )
  else:
   lowerCAmelCase													=   [(v, w)]

  # Assuming undirected graph
  if v in self.adjList:
   self.adjList[v].append((u, w)    )
  else:
   lowerCAmelCase													=   [(u, w)]



 def       UpperCamelCase__     (    self    ):







  """simple docstring"""






  for u in self.adjList:
   print(_snake_case							,					'->'							,					' -> '.join(str(F'{v}({w})'    ) for v, w in self.adjList[u]    )    )



 def       UpperCamelCase__     (    self							,					_snake_case    ):







  """simple docstring"""






  lowerCAmelCase													=   [-1] * self.num_nodes
  # src is the source node
  lowerCAmelCase													=   0
  lowerCAmelCase													=   PriorityQueue()
  q.insert((0, src)    )  # (dist from src, node)
  for u in self.adjList:
   if u != src:
    lowerCAmelCase													=   sys.maxsize  # Infinity
    lowerCAmelCase													=   -1

  while not q.is_empty():
   lowerCAmelCase													=   q.extract_min()  # Returns node with the min dist from source
   # Update the distance of all the neighbours of u and
   # if their prev dist was INFINITY then push them in Q
   for v, w in self.adjList[u]:
    lowerCAmelCase													=   self.dist[u] + w
    if self.dist[v] > new_dist:
     if self.dist[v] == sys.maxsize:
      q.insert((new_dist, v)    )
     else:
      q.decrease_key((self.dist[v], v)							,					_snake_case    )
     lowerCAmelCase													=   new_dist
     lowerCAmelCase													=   u

        # Show the shortest distances from src
  self.show_distances(_snake_case    )



 def       UpperCamelCase__     (    self							,					_snake_case    ):







  """simple docstring"""






  print(F'Distance from node: {src}'    )
  for u in range(self.num_nodes    ):
   print(F'Node {u} has distance: {self.dist[u]}'    )



 def       UpperCamelCase__     (    self							,					_snake_case							,					_snake_case    ):







  """simple docstring"""






  lowerCAmelCase													=   []
  lowerCAmelCase													=   0
  lowerCAmelCase													=   dest
  # Backtracking from dest to src
  while self.par[temp] != -1:
   path.append(_snake_case    )
   if temp != src:
    for v, w in self.adjList[temp]:
     if v == self.par[temp]:
      cost += w
      break
   lowerCAmelCase													=   self.par[temp]
  path.append(_snake_case    )
  path.reverse()

  print(F'----Path to reach {dest} from {src}----'    )
  for u in path:
   print(F'{u}'							,					end=' '    )
   if u != dest:
    print('-> '							,					end=''    )

  print('\nTotal cost of path: '							,					_snake_case    )


if __name__ == "__main__":
       __UpperCamelCase    :	str						=     Graph(9)
       graph.add_edge(0, 1, 4)
       graph.add_edge(0, 7, 8)
       graph.add_edge(1, 2, 8)
       graph.add_edge(1, 7, 11)
       graph.add_edge(2, 3, 7)
       graph.add_edge(2, 8, 2)
       graph.add_edge(2, 5, 4)
       graph.add_edge(3, 4, 9)
       graph.add_edge(3, 5, 14)
       graph.add_edge(4, 5, 10)
       graph.add_edge(5, 6, 2)
       graph.add_edge(6, 7, 1)
       graph.add_edge(6, 8, 6)
       graph.add_edge(7, 8, 7)
       graph.show_graph()
       graph.dijkstra(0)
       graph.show_path(0, 4)

# OUTPUT
# 0 -> 1(4) -> 7(8)
# 1 -> 0(4) -> 2(8) -> 7(11)
# 7 -> 0(8) -> 1(11) -> 6(1) -> 8(7)
# 2 -> 1(8) -> 3(7) -> 8(2) -> 5(4)
# 3 -> 2(7) -> 4(9) -> 5(14)
# 8 -> 2(2) -> 6(6) -> 7(7)
# 5 -> 2(4) -> 3(14) -> 4(10) -> 6(2)
# 4 -> 3(9) -> 5(10)
# 6 -> 5(2) -> 7(1) -> 8(6)
# Distance from node: 0
# Node 0 has distance: 0
# Node 1 has distance: 4
# Node 2 has distance: 12
# Node 3 has distance: 19
# Node 4 has distance: 21
# Node 5 has distance: 11
# Node 6 has distance: 9
# Node 7 has distance: 8
# Node 8 has distance: 14
# ----Path to reach 4 from 0----
# 0 -> 7 -> 6 -> 5 -> 4
# Total cost of path:  21





