code: def get(self, b):
      bm = b - np.sum(b, axis=0) / self.l
      bb = np.sum(bm**2, axis=0) ** 0.5
      ab = np.sum(self.am * bm, axis=0)
      return np.abs(ab / (self.aa * bb))
  
imports: import abc
  import sys
  import warnings
  from abc import ABC
  from typing import Dict, Union, cast
  import numpy
  import pytensor.tensor
  from pytensor.graph.replace import clone_replace
  from scipy.special import logsumexp
  from scipy.stats import multivariate_normal
  from typing_extensions import TypeAlias
  from pymc.backends.ndarray import NDArray
  from pymc.blocking import DictToArrayBijection
  from pymc.initial_point import make_initial_point_expression
  from pymc.model import Point, modelcontext
  from pymc.pytensorf import compile_pymc, floatX, join_nonshared_inputs, make_shared_replacements
  from pymc.sampling.forward import draw
  from pymc.step_methods.metropolis import MultivariateNormalProposal
  from pymc.vartypes import discrete_types
label_desc: Use image node_id 2 for calling the Pearson obj's underlying member method code with example usage: obj.get(b) and returns: np