code: def test_all_false_negatives(self):
      pb = self.compute_and_check_summary_pb(
          name="foo",
          labels=np.array([True]),
          predictions=np.float32([0]),
          num_thresholds=3,
      )
      expected = [
          [1.0, 0.0, 0.0],
          [0.0, 0.0, 0.0],
          [0.0, 0.0, 0.0],
          [0.0, 1.0, 1.0],
          [1.0, 0.0, 0.0],
          [1.0, 0.0, 0.0],
      ]
      values = tensor_util.make_ndarray(pb.value[0].tensor)
      self.verify_float_arrays_are_equal(expected, values)
  
imports: import numpy
  import tensorflow
  from tensorboard.compat.proto import summary_pb2
  from tensorboard.plugins.pr_curve import metadata
  from tensorboard.plugins.pr_curve import summary
  from tensorboard.util import tensor_util
  from tensorboard.util import test_util
label_desc: Use image node_id 10 for calling the PrCurveTest obj's underlying member method code with example usage: obj.test_all_false_negatives() without return types