class_docstr: Test cases for stateless random-number generator operators.
class_docstr_tok: ["Test","cases","for","stateless","random-number","generator","operators","."]
code: def testRandomUniformIsInRange(self):
      with self.session() as sess, self.test_scope():
          for dtype in self._random_types(include_int=True):
              maxval = 1
              if dtype.is_integer:
                  maxval = 100
              seed_t = array_ops.placeholder(dtypes.int32, shape=[2])
              x = stateless.stateless_random_uniform(
                  shape=[1000], seed=seed_t, maxval=maxval, dtype=dtype
              )
              y = sess.run(x, {seed_t: [0x12345678, 0xABCDEF1]})
              self.assertTrue(np.all(y >= 0))
              self.assertTrue(np.all(y < maxval))
  
imports: import functools
  import os
  from absl.testing import parameterized
  import numpy
  from tensorflow.compiler.tests import xla_test
  from tensorflow.python.client import device_lib
  from tensorflow.python.eager import def_function
  from tensorflow.python.framework import config
  from tensorflow.python.framework import dtypes
  from tensorflow.python.framework import ops
  from tensorflow.python.framework import test_util
  from tensorflow.python.kernel_tests.random import util
  from tensorflow.python.ops import array_ops
  from tensorflow.python.ops import gen_stateless_random_ops_v2
  from tensorflow.python.ops import math_ops
  from tensorflow.python.ops import random_ops_util
  from tensorflow.python.ops import stateless_random_ops
  from tensorflow.python.ops import variables
  from tensorflow.python.platform import test
label_desc: Use image node_id 7 for calling the StatelessRandomOpsTest obj's underlying member method code with example usage: obj.testRandomUniformIsInRange() without return types