assertEquals(hashUtf16, murmur3_32().newHasher().putString(str, UTF_16).hash());
    }
  }

  private static void assertHash(int expected, HashCode actual) {
    assertEquals(HashCode.fromInt(expected), actual);
  }

  public void testParanoidHashBytes() {
    HashFn hf =
        new HashFn() {
          @Override
          public byte[] hash(byte[] input, int seed) {

    validations:
      required: true
  - type: textarea
    id: actual-behavior
    attributes:
      label: "What did you see happen?"
    validations:
      required: true
  - type: textarea
    id: expected-behavior
    attributes:
      label: "What did you expect to see?"

  - type: textarea
    attributes:
      label: Expected Behavior
      description: What did you expect to happen?
    validations:
      required: true

  - type: textarea
    attributes:
      label: Actual Behavior
      description: What actually happened?
    validations:
      required: true

  - type: dropdown
    attributes:
      label: Packages

                                    "converted": {
                                        "summary": "An example with converted data",
                                        "description": "FastAPI can convert price `strings` to actual `numbers` automatically",
                                        "value": {"name": "Bar", "price": "35.4"},
                                    },
                                    "invalid": {

          <type>DOM</type> <!-- DOM for Maven 2.0.9/2.3.3 -->
          <description>
            Toolchain identification information, which will be matched against project requirements.
            &lt;p>Actual content structure is completely open: each toolchain type will define its own format and
            semantics.
            &lt;p>This is generally a properties format: {@code &lt;name&gt;value&lt;/name&gt;} with predefined

  TF_Buffer* result = TFE_GetServerDef(expected_text_proto.c_str(), status);
  EXPECT_EQ(TF_GetCode(status), TF_OK);

  ServerDef actual;
  ASSERT_TRUE(actual.ParseFromArray(result->data, result->length));
  string actual_text_proto;
  tensorflow::protobuf::TextFormat::PrintToString(actual, &actual_text_proto);
  EXPECT_EQ(expected_text_proto, actual_text_proto);

  const string malformed_text_proto(R"(cluster {
  job {

            @Override
            public boolean apply(@Nullable Double actual, @Nullable Double expected) {
              // Test for equality to allow non-finite values to match; otherwise, use the finite
              // test.
              return actual.equals(expected)
                  || FINITE_QUANTILE_CORRESPONDENCE.compare(actual, expected);
            }
          },

          return@submit sslSocket.session.handshake()
        }
      }
    }
  }

  private fun assertPrivateKeysEquals(
    expected: PrivateKey,
    actual: PrivateKey,
  ) {
    assertThat(actual.encoded.toByteString()).isEqualTo(expected.encoded.toByteString())
  }

    assertThat(transformation.isVertical()).isFalse();
    assertThat(transformation.isHorizontal()).isFalse();
    assertThat(transformation.slope()).isWithin(ALLOWED_ERROR).of(slope);
    // Note that we cannot test the actual mapping of points, as the results will be unreliable due
    // to loss of precision with this value of the slope.
  }

  public void testMappingWithSlope_maximalSlope() {
    double x1 = 1.2;
    double y1 = 3.4;

    assertThat(transformation.isVertical()).isFalse();
    assertThat(transformation.isHorizontal()).isFalse();
    assertThat(transformation.slope()).isWithin(ALLOWED_ERROR).of(slope);
    // Note that we cannot test the actual mapping of points, as the results will be unreliable due
    // to loss of precision with this value of the slope.
  }

  public void testMappingWithSlope_maximalSlope() {
    double x1 = 1.2;
    double y1 = 3.4;