class_docstr: ARPACK iteration did not converge
  
  Attributes
  ----------
  eigenvalues : ndarray
      Partial result. Converged eigenvalues.
  eigenvectors : ndarray
      Partial result. Converged eigenvectors.
class_docstr_tok: ["ARPACK","iteration","did","not","converge","Attributes","--","--","--","--","--","eigenvalues",":","ndarray","Partial","result",".","Converged","eigenvalues",".","eigenvectors",":","ndarray","Partial","result",".","Converged","eigenvectors","."]
code: def __init__(self, msg, eigenvalues, eigenvectors):
      ArpackError.__init__(self, -1, {-1: msg})
      self.eigenvalues = eigenvalues
      self.eigenvectors = eigenvectors
  
imports: from scipy.sparse.linalg.eigen.arpack import _arpack
  import numpy
  from scipy.sparse.linalg.interface import aslinearoperator, LinearOperator
  from scipy.sparse import identity, isspmatrix, isspmatrix_csr
  from scipy.linalg import lu_factor, lu_solve
  from scipy.sparse.sputils import isdense
  from scipy.sparse.linalg import gmres, splu
  import scipy
  import functools
  import operator
  from distutils.version import LooseVersion
label_desc: Use image node_id 1 to create a new ArpackNoConvergence object from inherited base classes: ArpackError with example: obj = ArpackNoConvergence(msg, eigenvalues, eigenvectors)