code: def estimate_response(gtab, evals, S0):
      """Estimate single fiber response function
  
      Parameters
      ----------
      gtab : GradientTable
      evals : ndarray
      S0 : float
          non diffusion weighted
  
      Returns
      -------
      S : estimated signal
  
      """
      evecs = np.array([[0, 0, 1], [0, 1, 0], [1, 0, 0]])
  
      return single_tensor(gtab, S0, evals, evecs, snr=None)
  
imports: import warnings
  import numpy
  import numbers
  from scipy.integrate import quad
  from scipy.special import lpn, gamma
  import scipy.linalg
  import scipy.linalg.lapack
  from dipy.data import small_sphere, get_sphere, default_sphere
  from dipy.core.geometry import cart2sphere
  from dipy.core.ndindex import ndindex
  from dipy.sims.voxel import single_tensor
  from dipy.reconst.multi_voxel import multi_voxel_fit
  from dipy.reconst.dti import TensorModel, fractional_anisotropy
  from dipy.reconst.shm import sph_harm_ind_list, real_sh_descoteaux_from_index, sph_harm_lookup, lazy_index, SphHarmFit, real_sh_descoteaux, sh_to_rh, forward_sdeconv_mat, SphHarmModel
  from dipy.reconst.utils import _roi_in_volume, _mask_from_roi
  from dipy.direction.peaks import peaks_from_model
  from dipy.core.geometry import vec2vec_rotmat
  from dipy.utils.deprecator import deprecate_with_version, deprecated_params
label_desc: Use image node_id 3 for calling a global function with example usage: estimate_response(gtab, evals, S0) and returns: single_tensor