code: def _aslinearoperator_with_dtype(m):
      m = aslinearoperator(m)
      if not hasattr(m, "dtype"):
          x = np.zeros(m.shape[1])
          m.dtype = (m * x).dtype
      return m
  
imports: import threading
  import itertools
  import sys
  import platform
  import numpy
  from numpy.testing import assert_allclose, assert_array_almost_equal_nulp, assert_equal, assert_array_equal, suppress_warnings
  from pytest import raises
  import pytest
  from numpy import dot, conj, random
  from scipy.linalg import eig, eigh, hilbert, svd
  from scipy.sparse import csc_matrix, csr_matrix, isspmatrix, diags, rand
  from scipy.sparse.linalg import LinearOperator, aslinearoperator
  from scipy.sparse.linalg.eigen.arpack import eigs, eigsh, svds, ArpackNoConvergence, arpack
  from scipy._lib._gcutils import assert_deallocated, IS_PYPY
label_desc: Use image node_id 4 for calling a global function with example usage: _aslinearoperator_with_dtype(m) and returns: m