code: def _pam_from_attrs(
      klass,
      sphere,
      peak_indices,
      peak_values,
      peak_dirs,
      gfa,
      qa,
      shm_coeff,
      B,
      odf,
  ):
      """
      Construct PeaksAndMetrics object (or subclass) from its attributes.
  
      This is also useful for pickling/unpickling of these objects (see also
      :func:`__reduce__` below).
  
      Parameters
      ----------
      klass : class
          The class of object to be created.
      sphere : `Sphere` class instance.
          Sphere for discretization.
      peak_indices : ndarray
          Indices (in sphere vertices) of the peaks in each voxel.
      peak_values : ndarray
          The value of the peaks.
      peak_dirs : ndarray
          The direction of each peak.
      gfa : ndarray
          The Generalized Fractional Anisotropy in each voxel.
      qa : ndarray
          Quantitative Anisotropy in each voxel.
      shm_coeff : ndarray
          The coefficients of the spherical harmonic basis for the ODF in
          each voxel.
      B : ndarray
          The spherical harmonic matrix, for multiplication with the
          coefficients.
      odf : ndarray
          The orientation distribution function on the sphere in each voxel.
  
      Returns
      -------
      pam : Instance of the class `klass`.
      """
      this_pam = klass()
      this_pam.sphere = sphere
      this_pam.peak_dirs = peak_dirs
      this_pam.peak_values = peak_values
      this_pam.peak_indices = peak_indices
      this_pam.gfa = gfa
      this_pam.qa = qa
      this_pam.shm_coeff = shm_coeff
      this_pam.B = B
      this_pam.odf = odf
      return this_pam
  
imports: import tempfile
  from multiprocessing import Pool
  from itertools import repeat
  from os import path
  import numpy
  import scipy.optimize
  from dipy.reconst.odf import gfa
  from dipy.reconst.recspeed import local_maxima, remove_similar_vertices, search_descending
  from dipy.core.sphere import Sphere
  from dipy.data import default_sphere
  from dipy.core.ndindex import ndindex
  from dipy.reconst.shm import sh_to_sf_matrix
  from dipy.reconst.eudx_direction_getter import EuDXDirectionGetter
  from dipy.utils.multiproc import determine_num_processes
  from dipy.utils.deprecator import deprecated_params
label_desc: Use image node_id 3 for calling a global function with example usage: _pam_from_attrs(klass, sphere, peak_indices, peak_values, peak_dirs, gfa, qa, shm_coeff, B, odf) and returns: this_pam