class_docstr: Test cases for resource variable operators.
class_docstr_tok: ["Test","cases","for","resource","variable","operators","."]
code: def testSparseRead1DIndices(self):
      for dtype in self.numeric_types:
          init = np.array(
              [[0, 1, 2, 3], [4, 5, 6j, 7], [8, 9, 10, 11]]
          ).astype(dtype)
          with self.session() as sess, self.test_scope():
              v = resource_variable_ops.ResourceVariable(init)
              sess.run(variables.variables_initializer([v]))
              x = v.sparse_read([2, 1])
              self.assertAllClose(
                  np.array([[8, 9, 10, 11], [4, 5, 6j, 7]]).astype(
                      dtype
                  ),
                  self.evaluate(x),
              )
  
imports: import re
  import numpy
  from tensorflow.compiler.tests import xla_test
  from tensorflow.python.framework import constant_op
  from tensorflow.python.framework import dtypes
  from tensorflow.python.framework import errors
  from tensorflow.python.framework import ops
  from tensorflow.python.framework import test_util
  from tensorflow.python.ops import array_ops
  from tensorflow.python.ops import gen_state_ops
  from tensorflow.python.ops import init_ops
  from tensorflow.python.ops import math_ops
  from tensorflow.python.ops import resource_variable_ops
  from tensorflow.python.ops import state_ops
  from tensorflow.python.ops import variable_scope
  from tensorflow.python.ops import variables
  from tensorflow.python.platform import googletest
  from tensorflow.python.training.gradient_descent import GradientDescentOptimizer
label_desc: Use image node_id 4 for calling the VariableOpsTest obj's underlying member method code with example usage: obj.testSparseRead1DIndices() without return types