output = output[1:]
		} else {
			t.Errorf("missing output: %q", want)
		}
	}
	for len(output) > 0 {
		if output[0] == "" {
			// spurious blank caused by Split on "\n"
			output = output[1:]
			continue
		}
		t.Errorf("unexpected output: %q", output[0])
		output = output[1:]
	}

	// Checked printing.
	// Now check machine code layout.

	top := pList.Firstpc
	var text *obj.LSym

#
# Usage: get_test_list.sh OUTPUT BAZEL_TEST_COMMAND...
# Writes the list of tests that would be run from BAZEL_TEST_COMMAND to OUTPUT.
# Hides all extra output and always exits with success for now.

OUTPUT=$1
shift

    seedA += part1;
    seedB = rotateRight(seedB + seedA + part4, 51);
    long c = seedA;
    seedA += part2;
    seedA += part3;
    seedB += rotateRight(seedA, 23);
    output[0] = seedA + part4;
    output[1] = seedB + c;
  }

  /*
   * Compute an 8-byte hash of a byte array of length greater than 64 bytes.
   */
  private static long fullFingerprint(byte[] bytes, int offset, int length) {

	fmt.Println(n)
	fmt.Println(b.String())
	fmt.Println(string(rdbuf))
	// Output:
	// 1
	// bcde
	// a
}

func ExampleBuffer_ReadByte() {
	var b bytes.Buffer
	b.Grow(64)
	b.Write([]byte("abcde"))
	c, err := b.ReadByte()
	if err != nil {
		panic(err)
	}
	fmt.Println(c)
	fmt.Println(b.String())
	// Output:
	// 97
	// bcde
}

func ExampleClone() {
	b := []byte("abc")

       {{3, 4}});
  VerifyFDef({"split3_const0", "split3_0"}, M({{"feed"}}), M({{"split3"}}),
             {{"split3_const0:output:0", "split3_0:0"},
              {"feed", "split3_0:1"},
              {"split3_0:output:1", "split3"}},
             {});
}

TEST_F(CApiFunctionTest, UsingTwoOutputsOfSplit) {
  /*
   *                      feed
   *                       |

  ASSERT_EQ(TF_OK, TF_GetCode(status)) << TF_Message(status);
  TFE_DeleteTensorHandle(retvals[0]);
  float output[2] = {0};
  EXPECT_EQ(sizeof(output), TF_TensorByteSize(t));
  memcpy(&output[0], TF_TensorData(t), TF_TensorByteSize(t));
  TF_DeleteTensor(t);
  EXPECT_EQ(1, output[0]);
  EXPECT_EQ(3, output[1]);
  TFE_DeleteContext(ctx);
  ASSERT_EQ(TF_OK, TF_GetCode(status)) << TF_Message(status);
  TF_DeleteStatus(status);

   *
   *   A =[[0, 1],[1, 0]]
   *   B =[[1, 0],[0, 1]]
   *
   *   output1, output2, output3 = two_adds_and_mm(A, B)
   *
   * We expect outputs:
   *
   *   output1 = [[1, 1],[1, 1]]
   *   output2 = [[2, 0],[0, 2]]
   *   output3 = [[2, 2],[2, 2]]
   *
   */

  // Build eager context.
  TFE_ContextOptions* opts = TFE_NewContextOptions();

Jacek Ewertowski <******@****.***> 1730145173 +0100

Jacek Ewertowski <******@****.***> 1730145173 +0100

    }
    inputs_.push_back(t->output_);
    *output = tensorflow::down_cast<TracingTensorHandle*>(outputs[0]);
    return absl::OkStatus();
  }

  absl::Status Finalize(OutputList* outputs, AbstractFunction** f) override {
    std::vector<TF_Output> graph_outputs;
    graph_outputs.reserve(outputs->outputs.size());
    for (auto* abstract_output : outputs->outputs) {
      GraphTensor* output = dyn_cast<GraphTensor>(abstract_output);