code: def testFloatRandom(self):
      np.random.seed(127)  # Repeatable results
      for _ in range(8):
          for adjoint_a in [True, False]:
              for adjoint_b in [True, False]:
                  for thresh in [0.0, 0.2, 0.8, 1.0]:
                      n, k, m = np.random.randint(1, 100, size=3)
                      x = np.random.rand(n, k).astype(np.float32)
                      x[x < thresh] = 0  # Make it sparse
                      y = np.random.randn(k, m).astype(np.float32)
                      x = x.transpose() if adjoint_a else x
                      y = y.transpose() if adjoint_b else y
                      self._testMatmul(x, y, adjoint_a, adjoint_b)
  
imports: import sys
  import time
  from absl import app
  import numpy
  from tensorflow.core.protobuf import config_pb2
  from tensorflow.python.client import session
  from tensorflow.python.framework import constant_op
  from tensorflow.python.framework import dtypes
  from tensorflow.python.framework import ops
  from tensorflow.python.framework import sparse_tensor
  from tensorflow.python.framework import tensor_shape
  from tensorflow.python.framework import test_util
  from tensorflow.python.ops import array_ops
  from tensorflow.python.ops import math_ops
  from tensorflow.python.ops import sparse_ops
  from tensorflow.python.ops import while_loop
  from tensorflow.python.platform import test
label_desc: Use image node_id 10 for calling the SparseTensorDenseMatMulTest obj's underlying member method code with example usage: obj.testFloatRandom() without return types