code: def _get_model_and_data(
      self,
      iteration_fidelity,
      data_fidelities,
      batch_shape,
      m,
      lin_truncated,
      outcome_transform=None,
      input_transform=None,
      **tkwargs,
  ):
      model_kwargs = {}
      n_fidelity = iteration_fidelity is not None
      if data_fidelities is not None:
          n_fidelity += len(data_fidelities)
          model_kwargs["data_fidelities"] = data_fidelities
      train_X, train_Y = _get_random_data_with_fidelity(
          batch_shape=batch_shape, m=m, n_fidelity=n_fidelity, **tkwargs
      )
      model_kwargs.update(
          {
              "train_X": train_X,
              "train_Y": train_Y,
              "iteration_fidelity": iteration_fidelity,
              "linear_truncated": lin_truncated,
          }
      )
  
      if outcome_transform is not None:
          model_kwargs["outcome_transform"] = outcome_transform
      if input_transform is not None:
          model_kwargs["input_transform"] = input_transform
      model = SingleTaskMultiFidelityGP(**model_kwargs)
      return model, model_kwargs
  
imports: import itertools
  import warnings
  from typing import Tuple
  import torch
  from botorch.exceptions.errors import UnsupportedError
  from botorch.exceptions.warnings import OptimizationWarning
  from botorch.fit import fit_gpytorch_mll
  from botorch.models.gp_regression_fidelity import FixedNoiseMultiFidelityGP, SingleTaskMultiFidelityGP
  from botorch.models.transforms import Normalize, Standardize
  from botorch.posteriors import GPyTorchPosterior
  from botorch.sampling import SobolQMCNormalSampler
  from botorch.utils.datasets import SupervisedDataset
  from botorch.utils.testing import _get_random_data, BotorchTestCase
  from gpytorch.kernels.scale_kernel import ScaleKernel
  from gpytorch.likelihoods import FixedNoiseGaussianLikelihood
  from gpytorch.means import ConstantMean
  from gpytorch.mlls.exact_marginal_log_likelihood import ExactMarginalLogLikelihood
  from torch import Tensor
label_desc: Use image node_id 1 for calling the TestSingleTaskMultiFidelityGP obj's underlying member method code with example usage: obj._get_model_and_data(iteration_fidelity, data_fidelities, batch_shape, m, lin_truncated, outcome_transform, input_transform) and returns: model,  model_kwargs