code: def testUniformAssertMaxGtMin(self):
      a_v = np.array([1.0, 1.0, 1.0], dtype=np.float32)
      b_v = np.array([1.0, 2.0, 3.0], dtype=np.float32)
  
      with self.assertRaisesWithPredicateMatch(
          errors.InvalidArgumentError, "x < y"
      ):
          uniform = uniform_lib.Uniform(
              low=a_v, high=b_v, validate_args=True
          )
          self.evaluate(uniform.low)
  
imports: import importlib
  import numpy
  from tensorflow.python.eager import backprop
  from tensorflow.python.framework import constant_op
  from tensorflow.python.framework import errors
  from tensorflow.python.framework import tensor_shape
  from tensorflow.python.framework import test_util
  from tensorflow.python.ops import array_ops_stack
  from tensorflow.python.ops import math_ops
  from tensorflow.python.ops.distributions import uniform
  from tensorflow.python.platform import test
  from tensorflow.python.platform import tf_logging
label_desc: Use image node_id 7 for calling the UniformTest obj's underlying member method code with example usage: obj.testUniformAssertMaxGtMin() without return types