cache.Insert("d", 4);
  int value = 0;
  EXPECT_TRUE(cache.Lookup("a", &value));
  EXPECT_EQ(value, 1);
  EXPECT_TRUE(cache.Lookup("b", &value));
  EXPECT_EQ(value, 2);
  EXPECT_TRUE(cache.Lookup("c", &value));
  EXPECT_EQ(value, 3);
  EXPECT_TRUE(cache.Lookup("d", &value));
  EXPECT_EQ(value, 4);
  cache.Clear();
  EXPECT_FALSE(cache.Lookup("a", &value));
  EXPECT_FALSE(cache.Lookup("b", &value));

  // Fill the cache.
  TF_EXPECT_OK(ReadCache(&cache, "a", 0, n, &out));
  EXPECT_EQ(out, a);
  EXPECT_EQ(calls, 1);
  TF_EXPECT_OK(ReadCache(&cache, "a", 8, n, &out));
  EXPECT_EQ(out, A);
  EXPECT_EQ(calls, 2);
  TF_EXPECT_OK(ReadCache(&cache, "b", 0, n, &out));
  EXPECT_EQ(out, b);
  EXPECT_EQ(calls, 3);
  TF_EXPECT_OK(ReadCache(&cache, "b", 8, n, &out));
  EXPECT_EQ(out, B);
  EXPECT_EQ(calls, 4);

                              &Deallocator, &deallocator_called);
  EXPECT_FALSE(deallocator_called);
  EXPECT_EQ(TF_FLOAT, TF_TensorType(t));
  EXPECT_EQ(2, TF_NumDims(t));
  EXPECT_EQ(dims[0], TF_Dim(t, 0));
  EXPECT_EQ(dims[1], TF_Dim(t, 1));
  EXPECT_EQ(num_bytes, TF_TensorByteSize(t));
  EXPECT_EQ(static_cast<void*>(values), TF_TensorData(t));
  TF_DeleteTensor(t);
  EXPECT_TRUE(deallocator_called);
}

  if (GetParam().empty()) {
    EXPECT_EQ(fs->TranslateName(""), "");
    EXPECT_EQ(fs->TranslateName("/"), "/");
    EXPECT_EQ(fs->TranslateName("//"), "/");
    // Empty scheme also allows relative paths
    EXPECT_EQ(fs->TranslateName("a_file"), "a_file");
    EXPECT_EQ(fs->TranslateName("a_dir/.."), ".");
  } else {
    EXPECT_EQ(fs->TranslateName(tensorflow::strings::StrCat(GetParam(), "://")),

  ASSERT_EQ(TF_OK, TF_GetCode(status)) << TF_Message(status);
  float product[4] = {0};
  EXPECT_EQ(sizeof(product), TF_TensorByteSize(t));
  memcpy(&product[0], TF_TensorData(t), TF_TensorByteSize(t));
  TF_DeleteTensor(t);
  EXPECT_EQ(7, product[0]);
  EXPECT_EQ(10, product[1]);
  EXPECT_EQ(15, product[2]);
  EXPECT_EQ(22, product[3]);
  TF_DeleteStatus(status);
}

  TFE_TensorHandle* h = TestMatrixTensorHandle(ctx);
  EXPECT_EQ(TF_FLOAT, TFE_TensorHandleDataType(h));

  TF_Tensor* t = TFE_TensorHandleResolve(h, status.get());
  ASSERT_EQ(16, TF_TensorByteSize(t));
  float data[4] = {0};
  memcpy(&data[0], TF_TensorData(t), TF_TensorByteSize(t));
  EXPECT_EQ(1.0, data[0]);
  EXPECT_EQ(2.0, data[1]);
  EXPECT_EQ(3.0, data[2]);
  EXPECT_EQ(4.0, data[3]);
  TF_DeleteTensor(t);

  public void testMap() {
    SpliteratorTester.of(
            () ->
                CollectSpliterators.map(
                    Arrays.spliterator(new String[] {"a", "b", "c", "d", "e"}), Ascii::toUpperCase))
        .expect("A", "B", "C", "D", "E");
  }

  public void testFlatMap() {
    SpliteratorTester.of(
            () ->
                CollectSpliterators.flatMap(

		}

		if expect != nil {
			expect = reflect.Indirect(reflect.ValueOf(expect)).Interface()
		}

		if reflect.ValueOf(got).IsValid() != reflect.ValueOf(expect).IsValid() {
			t.Errorf("%v: expect: %+v, got %+v", utils.FileWithLineNum(), expect, got)
			return
		}

		if reflect.ValueOf(got).Kind() == reflect.Slice {
			if reflect.ValueOf(expect).Kind() == reflect.Slice {

				"active": true,
			},
			expect: clause.Values{
				Columns: []clause.Column{{Name: "active"}},
				Values:  [][]interface{}{{true}},
			},
		},
	}

	for _, tc := range testCase {
		t.Run(tc.name, func(t *testing.T) {
			actual := ConvertMapToValuesForCreate(&gorm.Statement{}, tc.input)
			if !reflect.DeepEqual(actual, tc.expect) {
				t.Errorf("expect %v got %v", tc.expect, actual)
			}
		})
	}
}

        String expect = "9121D44B1AD560C7A3152B3CAC453AB4";
        testRC4HMac(5, data, key, expect);
    }


    /**
     * @param data
     * @param key
     * @param expect
     * @throws GeneralSecurityException
     * @throws PACDecodingException
     */