


from typing import Dict

from transformers import EvalPrediction, HfArgumentParser, TrainingArguments, is_torch_available
from transformers.testing_utils import (
    TestCasePlus,
    execute_subprocess_async,
    get_torch_dist_unique_port,
    require_torch_multi_gpu,
    require_torch_neuroncore,
)
from transformers.training_args import ParallelMode
from transformers.utils import logging


__lowerCAmelCase			=							logging.get_logger(__name__)


if is_torch_available():
 import torch
 from torch import nn
 from torch.utils.data import Dataset

 from transformers import Trainer





 class   __a      (   __UpperCamelCase				):
  def __init__(       self    ,			lowerCAmelCase__ = 101			) ->    Any:




         '''simple docstring'''
         lowercase__:       Any        =       length
  def __len__(       self			) ->    List[Any]:




         '''simple docstring'''
         return self.length
  def __getitem__(       self    ,			lowerCAmelCase__			) ->    int:




         '''simple docstring'''
         return i





 class   __a      :
  def __call__(       self    ,			lowerCAmelCase__			) ->    List[str]:




         '''simple docstring'''
         return {"input_ids": torch.tensor(lowerCAmelCase__			), "labels": torch.tensor(lowerCAmelCase__			)}





 class   __a      (   nn.Module				):
  def __init__(       self			) ->    Tuple:




         '''simple docstring'''
         super().__init__()
         # Add some (unused) params otherwise DDP will complain.
         lowercase__:       List[str]        =       nn.Linear(120    ,			80			)
  def 		SCREAMING_SNAKE_CASE__       (       self    ,			lowerCAmelCase__    ,			lowerCAmelCase__=None			) ->    int:




         '''simple docstring'''
         if labels is not None:
                return torch.tensor(0.0    ,			device=input_ids.device			), input_ids
         else:
                return input_ids





class   __a      (   __UpperCamelCase				):
 @require_torch_neuroncore
 def 		SCREAMING_SNAKE_CASE__       (       self			) ->    Tuple:




        '''simple docstring'''
        lowercase__:       int        =       F'--nproc_per_node=2\n            --master_port={get_torch_dist_unique_port()}\n            {self.test_file_dir}/test_trainer_distributed.py\n        '.split()
        lowercase__:       Tuple        =       self.get_auto_remove_tmp_dir()
        lowercase__:       Optional[int]        =       F'--output_dir {output_dir}'.split()
        lowercase__:       int        =       ['torchrun'] + distributed_args + args
        execute_subprocess_async(lowerCAmelCase__    ,			env=self.get_env()			)
        # successful return here == success - any errors would have caused an error in the sub-call





class   __a      (   __UpperCamelCase				):
 @require_torch_multi_gpu
 def 		SCREAMING_SNAKE_CASE__       (       self			) ->    Any:




        '''simple docstring'''
        lowercase__:       List[str]        =       F'--nproc_per_node={torch.cuda.device_count()}\n            --master_port={get_torch_dist_unique_port()}\n            {self.test_file_dir}/test_trainer_distributed.py\n        '.split()
        lowercase__:       Tuple        =       self.get_auto_remove_tmp_dir()
        lowercase__:       List[str]        =       F'--output_dir {output_dir}'.split()
        lowercase__:       int        =       ['torchrun'] + distributed_args + args
        execute_subprocess_async(lowerCAmelCase__    ,			env=self.get_env()			)
        # successful return here == success - any errors would have caused an error in the sub-call


if __name__ == "__main__":
 # The script below is meant to be run under torch.distributed, on a machine with multiple GPUs:
 #
 # PYTHONPATH="src" python -m torch.distributed.run --nproc_per_node 2 --output_dir output_dir ./tests/test_trainer_distributed.py

 __lowerCAmelCase			=							HfArgumentParser((TrainingArguments,))
 __lowerCAmelCase			=							parser.parse_args_into_dataclasses()[0]

 logger.warning(
     F'''Process rank: {training_args.local_rank}, device: {training_args.device}, n_gpu: {training_args.n_gpu}, '''
     F'''distributed training: {training_args.parallel_mode != ParallelMode.NOT_DISTRIBUTED}'''
 )

 # Essentially, what we want to verify in the distributed case is that we get all samples back,
 # in the right order. (this is crucial for prediction for instance)
 for dataset_length in [1_01, 40, 7]:
  __lowerCAmelCase			=							DummyDataset(dataset_length)




  def        snake_case_					(  snake_case					)  ->    Dict:
         lowercase__:       str        =       list(range(len(snake_case					)					)					)
         lowercase__:       Tuple        =       p.predictions.tolist() == sequential and p.label_ids.tolist() == sequential
         if not success and training_args.local_rank == 0:
                logger.warning(
                    'Predictions and/or labels do not match expected results:\n  - predictions: '
                    f'{p.predictions.tolist()}\n  - labels: {p.label_ids.tolist()}\n  - expected: {sequential}'					)
         return {"success": success}

  __lowerCAmelCase			=							Trainer(
      model=DummyModel(),
      args=training_args,
      data_collator=DummyDataCollator(),
      eval_dataset=dataset,
      compute_metrics=compute_metrics,
  )
  __lowerCAmelCase			=							trainer.evaluate()
  logger.info(metrics)
  if metrics["eval_success"] is not True:
   logger.error(metrics)
   exit(1)

  __lowerCAmelCase			=							trainer.predict(dataset)
  logger.info(p.metrics)
  if p.metrics["test_success"] is not True:
   logger.error(p.metrics)
   exit(1)

  __lowerCAmelCase			=							2

  __lowerCAmelCase			=							trainer.evaluate()
  logger.info(metrics)
  if metrics["eval_success"] is not True:
   logger.error(metrics)
   exit(1)

  __lowerCAmelCase			=							trainer.predict(dataset)
  logger.info(p.metrics)
  if p.metrics["test_success"] is not True:
   logger.error(p.metrics)
   exit(1)




  __lowerCAmelCase			=							None






from collections import deque
from math import floor
from random import random
from time import time





class   __a      :
 def __init__(       self			) ->    Dict:




        '''simple docstring'''
        lowercase__:       Dict        =       {}
 def 		SCREAMING_SNAKE_CASE__       (       self    ,			lowerCAmelCase__    ,			lowerCAmelCase__    ,			lowerCAmelCase__=1			) ->    Optional[int]:




        '''simple docstring'''
        if self.graph.get(lowerCAmelCase__			):
               if self.graph[u].count([w, v]			) == 0:
                      self.graph[u].append([w, v]			)
        else:
               lowercase__:       int        =       [[w, v]]
        if not self.graph.get(lowerCAmelCase__			):
               lowercase__:       Union[str, Any]        =       []
 def 		SCREAMING_SNAKE_CASE__       (       self			) ->    Any:




        '''simple docstring'''
        return list(self.graph			)
 def 		SCREAMING_SNAKE_CASE__       (       self    ,			lowerCAmelCase__    ,			lowerCAmelCase__			) ->    Optional[int]:




        '''simple docstring'''
        if self.graph.get(lowerCAmelCase__			):
               for _ in self.graph[u]:
                      if _[1] == v:
                             self.graph[u].remove(lowerCAmelCase__			)
 def 		SCREAMING_SNAKE_CASE__       (       self    ,			lowerCAmelCase__=-2    ,			lowerCAmelCase__=-1			) ->    Union[str, Any]:




        '''simple docstring'''
        if s == d:
               return []
        lowercase__:       Tuple        =       []
        lowercase__:       Tuple        =       []
        if s == -2:
               lowercase__:       Any        =       list(self.graph			)[0]
        stack.append(lowerCAmelCase__			)
        visited.append(lowerCAmelCase__			)
        lowercase__:       Dict        =       s

        while True:
               # check if there is any non isolated nodes
               if len(self.graph[s]			) != 0:
                      lowercase__:       Dict        =       s
                      for node in self.graph[s]:
                             if visited.count(node[1]			) < 1:
                                    if node[1] == d:
                                           visited.append(lowerCAmelCase__			)
                                           return visited
                                    else:
                                           stack.append(node[1]			)
                                           visited.append(node[1]			)
                                           lowercase__:       Union[str, Any]        =       node[1]
                                           break

            # check if all the children are visited
               if s == ss:
                      stack.pop()
                      if len(lowerCAmelCase__			) != 0:
                             lowercase__:       Optional[int]        =       stack[len(lowerCAmelCase__			) - 1]
               else:
                      lowercase__:       Dict        =       ss

               # check if se have reached the starting point
               if len(lowerCAmelCase__			) == 0:
                      return visited
 def 		SCREAMING_SNAKE_CASE__       (       self    ,			lowerCAmelCase__=-1			) ->    List[str]:




        '''simple docstring'''
        if c == -1:
               lowercase__:       int        =       floor(random() * 10_000			) + 10
        for i in range(lowerCAmelCase__			):
               # every vertex has max 100 edges
               for _ in range(floor(random() * 102			) + 1			):
                      lowercase__:       str        =       floor(random() * c			) + 1
                      if n != i:
                             self.add_pair(lowerCAmelCase__    ,			lowerCAmelCase__    ,			1			)
 def 		SCREAMING_SNAKE_CASE__       (       self    ,			lowerCAmelCase__=-2			) ->    Dict:




        '''simple docstring'''
        lowercase__:       int        =       deque()
        lowercase__:       Dict        =       []
        if s == -2:
               lowercase__:       Optional[int]        =       list(self.graph			)[0]
        d.append(lowerCAmelCase__			)
        visited.append(lowerCAmelCase__			)
        while d:
               lowercase__:       str        =       d.popleft()
               if len(self.graph[s]			) != 0:
                      for node in self.graph[s]:
                             if visited.count(node[1]			) < 1:
                                    d.append(node[1]			)
                                    visited.append(node[1]			)
        return visited
 def 		SCREAMING_SNAKE_CASE__       (       self    ,			lowerCAmelCase__			) ->    Dict:




        '''simple docstring'''
        lowercase__:       Tuple        =       0
        for x in self.graph:
               for y in self.graph[x]:
                      if y[1] == u:
                             count += 1
        return count
 def 		SCREAMING_SNAKE_CASE__       (       self    ,			lowerCAmelCase__			) ->    Union[str, Any]:




        '''simple docstring'''
        return len(self.graph[u]			)
 def 		SCREAMING_SNAKE_CASE__       (       self    ,			lowerCAmelCase__=-2			) ->    Optional[Any]:




        '''simple docstring'''
        lowercase__:       Tuple        =       []
        lowercase__:       str        =       []
        if s == -2:
               lowercase__:       Dict        =       list(self.graph			)[0]
        stack.append(lowerCAmelCase__			)
        visited.append(lowerCAmelCase__			)
        lowercase__:       List[Any]        =       s
        lowercase__:       Any        =       []

        while True:
               # check if there is any non isolated nodes
               if len(self.graph[s]			) != 0:
                      lowercase__:       List[str]        =       s
                      for node in self.graph[s]:
                             if visited.count(node[1]			) < 1:
                                    stack.append(node[1]			)
                                    visited.append(node[1]			)
                                    lowercase__:       Dict        =       node[1]
                                    break

            # check if all the children are visited
               if s == ss:
                      sorted_nodes.append(stack.pop()			)
                      if len(lowerCAmelCase__			) != 0:
                             lowercase__:       int        =       stack[len(lowerCAmelCase__			) - 1]
               else:
                      lowercase__:       Optional[int]        =       ss

               # check if se have reached the starting point
               if len(lowerCAmelCase__			) == 0:
                      return sorted_nodes
 def 		SCREAMING_SNAKE_CASE__       (       self			) ->    Any:




        '''simple docstring'''
        lowercase__:       List[Any]        =       []
        lowercase__:       int        =       []
        lowercase__:       List[str]        =       list(self.graph			)[0]
        stack.append(lowerCAmelCase__			)
        visited.append(lowerCAmelCase__			)
        lowercase__:       Dict        =       -2
        lowercase__:       Union[str, Any]        =       []
        lowercase__:       List[str]        =       s
        lowercase__:       Dict        =       False
        lowercase__:       Union[str, Any]        =       set()

        while True:
               # check if there is any non isolated nodes
               if len(self.graph[s]			) != 0:
                      lowercase__:       Any        =       s
                      for node in self.graph[s]:
                             if (
                                 visited.count(node[1]			) > 0
                                 and node[1] != parent
                                 and indirect_parents.count(node[1]			) > 0
                                 and not on_the_way_back
                             ):
                                    lowercase__:       List[Any]        =       len(lowerCAmelCase__			) - 1
                                    while len_stack >= 0:
                                           if stack[len_stack] == node[1]:
                                                  anticipating_nodes.add(node[1]			)
                                                  break
                                           else:
                                                  anticipating_nodes.add(stack[len_stack]			)
                                                  len_stack -= 1
                             if visited.count(node[1]			) < 1:
                                    stack.append(node[1]			)
                                    visited.append(node[1]			)
                                    lowercase__:       Union[str, Any]        =       node[1]
                                    break

            # check if all the children are visited
               if s == ss:
                      stack.pop()
                      lowercase__:       Any        =       True
                      if len(lowerCAmelCase__			) != 0:
                             lowercase__:       Optional[Any]        =       stack[len(lowerCAmelCase__			) - 1]
               else:
                      lowercase__:       Union[str, Any]        =       False
                      indirect_parents.append(lowerCAmelCase__			)
                      lowercase__:       int        =       s
                      lowercase__:       str        =       ss

               # check if se have reached the starting point
               if len(lowerCAmelCase__			) == 0:
                      return list(lowerCAmelCase__			)
 def 		SCREAMING_SNAKE_CASE__       (       self			) ->    Optional[Any]:




        '''simple docstring'''
        lowercase__:       Any        =       []
        lowercase__:       int        =       []
        lowercase__:       Dict        =       list(self.graph			)[0]
        stack.append(lowerCAmelCase__			)
        visited.append(lowerCAmelCase__			)
        lowercase__:       Optional[int]        =       -2
        lowercase__:       List[Any]        =       []
        lowercase__:       List[str]        =       s
        lowercase__:       List[Any]        =       False
        lowercase__:       str        =       set()

        while True:
               # check if there is any non isolated nodes
               if len(self.graph[s]			) != 0:
                      lowercase__:       Dict        =       s
                      for node in self.graph[s]:
                             if (
                                 visited.count(node[1]			) > 0
                                 and node[1] != parent
                                 and indirect_parents.count(node[1]			) > 0
                                 and not on_the_way_back
                             ):
                                    lowercase__:       Any        =       len(lowerCAmelCase__			) - 1
                                    while len_stack_minus_one >= 0:
                                           if stack[len_stack_minus_one] == node[1]:
                                                  anticipating_nodes.add(node[1]			)
                                                  break
                                           else:
                                                  return True
                             if visited.count(node[1]			) < 1:
                                    stack.append(node[1]			)
                                    visited.append(node[1]			)
                                    lowercase__:       List[Any]        =       node[1]
                                    break

            # check if all the children are visited
               if s == ss:
                      stack.pop()
                      lowercase__:       Optional[Any]        =       True
                      if len(lowerCAmelCase__			) != 0:
                             lowercase__:       Any        =       stack[len(lowerCAmelCase__			) - 1]
               else:
                      lowercase__:       Optional[Any]        =       False
                      indirect_parents.append(lowerCAmelCase__			)
                      lowercase__:       Dict        =       s
                      lowercase__:       Dict        =       ss

               # check if se have reached the starting point
               if len(lowerCAmelCase__			) == 0:
                      return False
 def 		SCREAMING_SNAKE_CASE__       (       self    ,			lowerCAmelCase__=-2    ,			lowerCAmelCase__=-1			) ->    Dict:




        '''simple docstring'''
        lowercase__:       Union[str, Any]        =       time()
        self.dfs(lowerCAmelCase__    ,			lowerCAmelCase__			)
        lowercase__:       Optional[Any]        =       time()
        return end - begin
 def 		SCREAMING_SNAKE_CASE__       (       self    ,			lowerCAmelCase__=-2			) ->    List[str]:




        '''simple docstring'''
        lowercase__:       str        =       time()
        self.bfs(lowerCAmelCase__			)
        lowercase__:       List[str]        =       time()
        return end - begin





class   __a      :
 def __init__(       self			) ->    Tuple:




        '''simple docstring'''
        lowercase__:       Dict        =       {}
 def 		SCREAMING_SNAKE_CASE__       (       self    ,			lowerCAmelCase__    ,			lowerCAmelCase__    ,			lowerCAmelCase__=1			) ->    List[Any]:




        '''simple docstring'''
        # check if the u exists
        if self.graph.get(lowerCAmelCase__			):
               # if there already is a edge
               if self.graph[u].count([w, v]			) == 0:
                      self.graph[u].append([w, v]			)
        else:
               # if u does not exist
               lowercase__:       str        =       [[w, v]]
        # add the other way
        if self.graph.get(lowerCAmelCase__			):
               # if there already is a edge
               if self.graph[v].count([w, u]			) == 0:
                      self.graph[v].append([w, u]			)
        else:
               # if u does not exist
               lowercase__:       Union[str, Any]        =       [[w, u]]
 def 		SCREAMING_SNAKE_CASE__       (       self    ,			lowerCAmelCase__    ,			lowerCAmelCase__			) ->    str:




        '''simple docstring'''
        if self.graph.get(lowerCAmelCase__			):
               for _ in self.graph[u]:
                      if _[1] == v:
                             self.graph[u].remove(lowerCAmelCase__			)
        # the other way round
        if self.graph.get(lowerCAmelCase__			):
               for _ in self.graph[v]:
                      if _[1] == u:
                             self.graph[v].remove(lowerCAmelCase__			)
 def 		SCREAMING_SNAKE_CASE__       (       self    ,			lowerCAmelCase__=-2    ,			lowerCAmelCase__=-1			) ->    List[str]:




        '''simple docstring'''
        if s == d:
               return []
        lowercase__:       str        =       []
        lowercase__:       int        =       []
        if s == -2:
               lowercase__:       Tuple        =       list(self.graph			)[0]
        stack.append(lowerCAmelCase__			)
        visited.append(lowerCAmelCase__			)
        lowercase__:       int        =       s

        while True:
               # check if there is any non isolated nodes
               if len(self.graph[s]			) != 0:
                      lowercase__:       int        =       s
                      for node in self.graph[s]:
                             if visited.count(node[1]			) < 1:
                                    if node[1] == d:
                                           visited.append(lowerCAmelCase__			)
                                           return visited
                                    else:
                                           stack.append(node[1]			)
                                           visited.append(node[1]			)
                                           lowercase__:       List[Any]        =       node[1]
                                           break

            # check if all the children are visited
               if s == ss:
                      stack.pop()
                      if len(lowerCAmelCase__			) != 0:
                             lowercase__:       Union[str, Any]        =       stack[len(lowerCAmelCase__			) - 1]
               else:
                      lowercase__:       Optional[Any]        =       ss

               # check if se have reached the starting point
               if len(lowerCAmelCase__			) == 0:
                      return visited
 def 		SCREAMING_SNAKE_CASE__       (       self    ,			lowerCAmelCase__=-1			) ->    Optional[Any]:




        '''simple docstring'''
        if c == -1:
               lowercase__:       Any        =       floor(random() * 10_000			) + 10
        for i in range(lowerCAmelCase__			):
               # every vertex has max 100 edges
               for _ in range(floor(random() * 102			) + 1			):
                      lowercase__:       Optional[Any]        =       floor(random() * c			) + 1
                      if n != i:
                             self.add_pair(lowerCAmelCase__    ,			lowerCAmelCase__    ,			1			)
 def 		SCREAMING_SNAKE_CASE__       (       self    ,			lowerCAmelCase__=-2			) ->    List[Any]:




        '''simple docstring'''
        lowercase__:       str        =       deque()
        lowercase__:       List[Any]        =       []
        if s == -2:
               lowercase__:       str        =       list(self.graph			)[0]
        d.append(lowerCAmelCase__			)
        visited.append(lowerCAmelCase__			)
        while d:
               lowercase__:       Union[str, Any]        =       d.popleft()
               if len(self.graph[s]			) != 0:
                      for node in self.graph[s]:
                             if visited.count(node[1]			) < 1:
                                    d.append(node[1]			)
                                    visited.append(node[1]			)
        return visited
 def 		SCREAMING_SNAKE_CASE__       (       self    ,			lowerCAmelCase__			) ->    List[Any]:




        '''simple docstring'''
        return len(self.graph[u]			)
 def 		SCREAMING_SNAKE_CASE__       (       self			) ->    str:




        '''simple docstring'''
        lowercase__:       str        =       []
        lowercase__:       Dict        =       []
        lowercase__:       Optional[int]        =       list(self.graph			)[0]
        stack.append(lowerCAmelCase__			)
        visited.append(lowerCAmelCase__			)
        lowercase__:       Dict        =       -2
        lowercase__:       Dict        =       []
        lowercase__:       List[Any]        =       s
        lowercase__:       Union[str, Any]        =       False
        lowercase__:       List[str]        =       set()

        while True:
               # check if there is any non isolated nodes
               if len(self.graph[s]			) != 0:
                      lowercase__:       Optional[int]        =       s
                      for node in self.graph[s]:
                             if (
                                 visited.count(node[1]			) > 0
                                 and node[1] != parent
                                 and indirect_parents.count(node[1]			) > 0
                                 and not on_the_way_back
                             ):
                                    lowercase__:       Any        =       len(lowerCAmelCase__			) - 1
                                    while len_stack >= 0:
                                           if stack[len_stack] == node[1]:
                                                  anticipating_nodes.add(node[1]			)
                                                  break
                                           else:
                                                  anticipating_nodes.add(stack[len_stack]			)
                                                  len_stack -= 1
                             if visited.count(node[1]			) < 1:
                                    stack.append(node[1]			)
                                    visited.append(node[1]			)
                                    lowercase__:       List[str]        =       node[1]
                                    break

            # check if all the children are visited
               if s == ss:
                      stack.pop()
                      lowercase__:       str        =       True
                      if len(lowerCAmelCase__			) != 0:
                             lowercase__:       Dict        =       stack[len(lowerCAmelCase__			) - 1]
               else:
                      lowercase__:       int        =       False
                      indirect_parents.append(lowerCAmelCase__			)
                      lowercase__:       Tuple        =       s
                      lowercase__:       List[Any]        =       ss

               # check if se have reached the starting point
               if len(lowerCAmelCase__			) == 0:
                      return list(lowerCAmelCase__			)
 def 		SCREAMING_SNAKE_CASE__       (       self			) ->    Any:




        '''simple docstring'''
        lowercase__:       Tuple        =       []
        lowercase__:       Optional[int]        =       []
        lowercase__:       Optional[Any]        =       list(self.graph			)[0]
        stack.append(lowerCAmelCase__			)
        visited.append(lowerCAmelCase__			)
        lowercase__:       Tuple        =       -2
        lowercase__:       Any        =       []
        lowercase__:       int        =       s
        lowercase__:       Optional[int]        =       False
        lowercase__:       List[Any]        =       set()

        while True:
               # check if there is any non isolated nodes
               if len(self.graph[s]			) != 0:
                      lowercase__:       Optional[int]        =       s
                      for node in self.graph[s]:
                             if (
                                 visited.count(node[1]			) > 0
                                 and node[1] != parent
                                 and indirect_parents.count(node[1]			) > 0
                                 and not on_the_way_back
                             ):
                                    lowercase__:       Union[str, Any]        =       len(lowerCAmelCase__			) - 1
                                    while len_stack_minus_one >= 0:
                                           if stack[len_stack_minus_one] == node[1]:
                                                  anticipating_nodes.add(node[1]			)
                                                  break
                                           else:
                                                  return True
                             if visited.count(node[1]			) < 1:
                                    stack.append(node[1]			)
                                    visited.append(node[1]			)
                                    lowercase__:       Any        =       node[1]
                                    break

            # check if all the children are visited
               if s == ss:
                      stack.pop()
                      lowercase__:       List[str]        =       True
                      if len(lowerCAmelCase__			) != 0:
                             lowercase__:       List[str]        =       stack[len(lowerCAmelCase__			) - 1]
               else:
                      lowercase__:       Dict        =       False
                      indirect_parents.append(lowerCAmelCase__			)
                      lowercase__:       Optional[Any]        =       s
                      lowercase__:       Optional[int]        =       ss

               # check if se have reached the starting point
               if len(lowerCAmelCase__			) == 0:
                      return False
 def 		SCREAMING_SNAKE_CASE__       (       self			) ->    List[Any]:




        '''simple docstring'''
        return list(self.graph			)
 def 		SCREAMING_SNAKE_CASE__       (       self    ,			lowerCAmelCase__=-2    ,			lowerCAmelCase__=-1			) ->    Union[str, Any]:




        '''simple docstring'''
        lowercase__:       Dict        =       time()
        self.dfs(lowerCAmelCase__    ,			lowerCAmelCase__			)
        lowercase__:       List[Any]        =       time()
        return end - begin
 def 		SCREAMING_SNAKE_CASE__       (       self    ,			lowerCAmelCase__=-2			) ->    List[Any]:




        '''simple docstring'''
        lowercase__:       str        =       time()
        self.bfs(lowerCAmelCase__			)
        lowercase__:       List[str]        =       time()
        return end - begin


