code: def test__get_name_filter(self) -> None:
      items = tuple(zip(ascii_lowercase, range(len(ascii_lowercase))))
      aceg_etc = ascii_lowercase[::2]
      bdfh_etc = ascii_lowercase[1::2]
  
      test_cases = [
          ("names (str check)", bdfh_etc),
          ("patterns (regex check)", [re.compile(f"[{bdfh_etc}]")]),
      ]
      for arg_type, patterns in test_cases:
          with self.subTest(arg_type, patterns=patterns):
              name_filter = get_name_filter(patterns)
              self.assertEqual(
                  aceg_etc,
                  "".join(filter(name_filter, ascii_lowercase)),
              )
              self.assertEqual(
                  items[::2], tuple(filter(name_filter, items))
              )
  
imports: from __future__ import annotations
  import re
  import warnings
  from copy import deepcopy
  from string import ascii_lowercase
  from unittest.mock import MagicMock, patch
  import torch
  from botorch import settings
  from botorch.models import SingleTaskGP
  from botorch.optim.utils import get_data_loader, get_name_filter, get_parameters, get_parameters_and_bounds, model_utils, sample_all_priors
  from botorch.utils.testing import BotorchTestCase
  from gpytorch.constraints import GreaterThan
  from gpytorch.kernels.matern_kernel import MaternKernel
  from gpytorch.kernels.scale_kernel import ScaleKernel
  from gpytorch.likelihoods import GaussianLikelihood
  from gpytorch.mlls.exact_marginal_log_likelihood import ExactMarginalLogLikelihood
  from gpytorch.priors import UniformPrior
  from gpytorch.priors.prior import Prior
  from gpytorch.priors.torch_priors import GammaPrior
label_desc: Use image node_id 2 for calling the TestGetNameFilter obj's underlying member method code with example usage: obj.test__get_name_filter() without return types