code: def __init__(self, A, p, structure=None):
      if A.ndim != 2 or A.shape[0] != A.shape[1]:
          raise ValueError("expected A to be like a square matrix")
      if p < 0:
          raise ValueError("expected p to be a non-negative integer")
      self._A = A
      self._p = p
      self._structure = structure
      self.dtype = A.dtype
      self.ndim = A.ndim
      self.shape = A.shape
  
imports: from __future__ import division, print_function, absolute_import
  import math
  import numpy
  import scipy.special
  from scipy.linalg.basic import solve, solve_triangular
  from scipy.sparse.base import isspmatrix
  from scipy.sparse.construct import eye
  from scipy.sparse.linalg import spsolve
  import scipy.sparse
  import scipy.sparse.linalg
  from scipy.sparse.linalg.interface import LinearOperator
label_desc: Use image node_id 1 to create a new MatrixPowerOperator object from inherited base classes: LinearOperator with example: obj = MatrixPowerOperator(A, p, structure)