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: import numpy
  from scipy.linalg._basic import solve, solve_triangular
  from scipy.sparse._base import issparse
  from scipy.sparse.linalg import spsolve
  from scipy.sparse._sputils import is_pydata_spmatrix, isintlike
  import scipy.sparse
  import scipy.sparse.linalg
  from scipy.sparse.linalg._interface import LinearOperator
  from scipy.sparse._construct import eye
  from ._expm_multiply import _ident_like, _exact_1_norm
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)