class_docstr: Information about an operator is lazily computed.
  
  The information includes the exact 1-norm of the operator,
  in addition to estimates of 1-norms of powers of the operator.
  This uses the notation of Computing the Action (2011).
  This class is specialized enough to probably not be of general interest
  outside of this module.
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docstr: Provide the operator and some norm-related information.
  
  Parameters
  ----------
  A : linear operator
      The operator of interest.
  A_1_norm : float, optional
      The exact 1-norm of A.
  ell : int, optional
      A technical parameter controlling norm estimation quality.
  scale : int, optional
      If specified, return the norms of scale*A instead of A.
docstr_tok: ["Provide","the","operator","and","some","norm-related","information",".","Parameters","--","--","--","--","--","A",":","linear","operator","The","operator","of","interest",".","A_1_norm",":","float",",","optional","The","exact","1-norm","of","A.","ell",":","int",",","optional","A","technical","parameter","controlling","norm","estimation","quality",".","scale",":","int",",","optional","If","specified",",","return","the","norms","of","scale","*","A","instead","of","A","."]
code: def __init__(self, A, A_1_norm=None, ell=2, scale=1):
      """
      Provide the operator and some norm-related information.
  
      Parameters
      ----------
      A : linear operator
          The operator of interest.
      A_1_norm : float, optional
          The exact 1-norm of A.
      ell : int, optional
          A technical parameter controlling norm estimation quality.
      scale : int, optional
          If specified, return the norms of scale*A instead of A.
  
      """
      self._A = A
      self._A_1_norm = A_1_norm
      self._ell = ell
      self._d = {}
      self._scale = scale
  
imports: from __future__ import division, print_function, absolute_import
  import numpy
  import scipy.linalg
  import scipy.sparse.linalg
  from scipy.sparse.linalg import aslinearoperator
label_desc: Use image node_id 1 to create a new LazyOperatorNormInfo object  with example: obj = LazyOperatorNormInfo(A, A_1_norm, ell, scale)