code: def _numpy(self, *sequences):
      sequences = [numpy.asarray(s) for s in sequences]
      ssm = [s - s.mean() for s in sequences]
      result = reduce(numpy.dot, sequences)
      for sm in ssm:
          result /= numpy.sqrt(numpy.dot(sm, sm))
      return result
  
imports: from functools import reduce
  from typing import Any
  from .base import Base, BaseSimilarity
label_desc: Use image node_id 1 for calling the Correlation obj's underlying member method code with example usage: obj._numpy() and returns: result