docstr: Asserts that float type values are integers.
code: def _assert_is_integer_float(self, quantized_vals):
      """Asserts that float type values are integers."""
      assert quantized_vals.dtype == np.float32
      self.assertAllClose(
          quantized_vals,
          tf.cast(tf.cast(quantized_vals, np.int32), np.float32),
      )
  
imports: import itertools
  from absl.testing import parameterized
  import numpy
  import tensorflow
  from tensorflow_model_optimization.python.core.internal.tensor_encoding.stages import stages_impl
  from tensorflow_model_optimization.python.core.internal.tensor_encoding.testing import test_utils
label_desc: Use image node_id 5 for calling the UniformQuantizationEncodingStageStageTest obj's underlying member method code with example usage: obj._assert_is_integer_float(quantized_vals) without return types