code: def _ident_like(A):
      # A compatibility function which should eventually disappear.
      if scipy.sparse.issparse(A):
          # Creates a sparse matrix in dia format
          out = scipy.sparse.eye(A.shape[0], A.shape[1], dtype=A.dtype)
          if isinstance(A, scipy.sparse.spmatrix):
              return out.asformat(A.format)
          return scipy.sparse.dia_array(out).asformat(A.format)
      elif is_pydata_spmatrix(A):
          import sparse
  
          return sparse.eye(A.shape[0], A.shape[1], dtype=A.dtype)
      elif isinstance(A, scipy.sparse.linalg.LinearOperator):
          return IdentityOperator(A.shape, dtype=A.dtype)
      else:
          return np.eye(A.shape[0], A.shape[1], dtype=A.dtype)
  
imports: from warnings import warn
  import numpy
  import scipy.linalg
  import scipy.sparse.linalg
  from scipy.linalg._decomp_qr import qr
  from scipy.sparse._sputils import is_pydata_spmatrix
  from scipy.sparse.linalg import aslinearoperator
  from scipy.sparse.linalg._interface import IdentityOperator
  from scipy.sparse.linalg._onenormest import onenormest
label_desc: Use image node_id 5 for calling a global function with example usage: _ident_like(A) and returns: scipy, out, sparse, IdentityOperator, np