assertEquals(0, new BigDecimal("0.000123").compareTo(BigDecimalConversionUtil.toBigDecimal(new Double(0.000123D))));
        assertEquals(0, new BigDecimal("0.0000123").compareTo(BigDecimalConversionUtil.toBigDecimal(new Double(0.0000123D))));
        assertEquals(0, new BigDecimal("0.00000123").compareTo(BigDecimalConversionUtil.toBigDecimal(new Double(0.00000123D))));

    assertFalse(InetAddresses.isUriInetAddress("1:2e"));
    assertFalse(InetAddresses.isUriInetAddress("[3ffe:0:0:0:0:0:0:1"));
    assertFalse(InetAddresses.isUriInetAddress("3ffe:0:0:0:0:0:0:1]"));
    assertFalse(InetAddresses.isUriInetAddress("3ffe:0:0:0:0:0:0:1"));
    assertFalse(InetAddresses.isUriInetAddress("::ffff:192.0.2.1"));
  }

  public void testForUriStringBad() {

	for i, elt := range e.Elements {
		v, err := elt.evalNode(r, tableAlias)
		if err != nil {
			return nil, err
		}
		res[i] = *v
	}
	return FromArray(res), nil
}

const floatCmpTolerance = 0.000001

func (e *In) evalInNode(r Record, lhs *Value, tableAlias string) (*Value, error) {
	// Compare two values in terms of in-ness.
	var cmp func(a, b Value) bool
	cmp = func(a, b Value) bool {
		// Convert if needed.

  // Load the saved model.
  const string saved_model_dir = tensorflow::GetDataDependencyFilepath(
      tensorflow::io::JoinPath("tensorflow", "cc", "saved_model", "testdata",
                               "half_plus_two", "00000123"));
  TF_SessionOptions* opt = TF_NewSessionOptions();
  TF_Buffer* run_options = TF_NewBufferFromString("", 0);
  TF_Buffer* metagraph = TF_NewBuffer();
  TF_Status* s = TF_NewStatus();

    assertThat(parse("http://[0:a:b:c:d:e:f:1]/").host).isEqualTo("0:a:b:c:d:e:f:1")
    assertThat(parse("http://[a:b:c:d:e:f:1:0]/").host).isEqualTo("a:b:c:d:e:f:1:0")
    assertThat(parse("http://[FF01:0:0:0:0:0:0:101]/").host).isEqualTo("ff01::101")
    assertThat(parse("http://[2001:db8::1]/").host).isEqualTo("2001:db8::1")
    assertThat(parse("http://[2001:db8:0:0:0:0:2:1]/").host).isEqualTo("2001:db8::2:1")

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