class_docstr: The class that stores and transmits data in neural networks.
      
docstr: Computes the power of self to other.
          
docstr_tok: ["Computes","the","power","of","self","to","other","."]
code: def __rpow__(self, other):
      """Computes the power of self to other."""
      if self.size == 0:
          raise ValueError("The blob mustn't be empty.")
      return Blob(PythonWrapper.blob_pow(float(other), self._internal))
  
imports: import neoml
  import neoml.PythonWrapper
  import neoml.MathEngine
  import numpy
label_desc: Use image node_id 28 for calling the Blob obj's underlying member method code with example usage: obj.__rpow__(other) and returns: Blob