code: def test_automl_context_has_loc():
      cx = AutoMLContext.from_context()
  
      assert cx.loc == ScopedLocation()
  
imports: import logging
  import logging.config
  import logging.handlers
  import os
  from multiprocessing import Process, Queue
  from typing import List, Set
  import numpy
  from neuraxle.base import ExecutionContext
  from neuraxle.base import Identity, TrialStatus
  from neuraxle.data_container import DataContainer
  from neuraxle.hyperparams.distributions import FixedHyperparameter
  from neuraxle.hyperparams.space import HyperparameterSpace
  from neuraxle.logging.logging import NEURAXLE_LOGGER_NAME, NeuraxleLogger, ParallelLoggingConsumerThread
  from neuraxle.metaopt.auto_ml import AutoML
  from neuraxle.metaopt.callbacks import ScoringCallback
  from neuraxle.metaopt.context import AutoMLContext
  from neuraxle.metaopt.data.aggregates import Trial
  from neuraxle.metaopt.data.vanilla import DEFAULT_CLIENT, DEFAULT_PROJECT, ProjectDataclass, ScopedLocation, TrialSplitDataclass
  from neuraxle.metaopt.optimizer import RandomSearchSampler
  from neuraxle.metaopt.repositories.json import HyperparamsOnDiskRepository
  from neuraxle.metaopt.validation import ValidationSplitter
  from neuraxle.pipeline import Pipeline
  from neuraxle.steps.misc import FitTransformCounterLoggingStep
  from neuraxle.steps.numpy import MultiplyByN, NumpyReshape
  from sklearn.metrics import mean_squared_error
label_desc: Use image node_id 3 for calling a global function with example usage: test_automl_context_has_loc() without return types