// TLD with only 1 (wildcard) rule.
    checkPublicSuffix("mm", null)
    checkPublicSuffix("c.mm", null)
    checkPublicSuffix("b.c.mm", "b.c.mm")
    checkPublicSuffix("a.b.c.mm", "b.c.mm")
    // More complex TLD.
    checkPublicSuffix("jp", null)
    checkPublicSuffix("test.jp", "test.jp")
    checkPublicSuffix("www.test.jp", "test.jp")
    checkPublicSuffix("ac.jp", null)
    checkPublicSuffix("test.ac.jp", "test.ac.jp")

                protected SmbResource adapt(FileEntry e) {
                    return resource;
                }
            };
        });
    }

    @Test
    @DisplayName("Complex scenario with multiple filter conditions")
    void complexFilterScenario() throws Exception {
        // Setup: three entries with different filter results
        FileEntry entry1 = mock(FileEntry.class);

> What’s the history of this project? It seems to have come from nowhere to awesome in a few weeks [...]

Here's a little bit of that history.

## Alternatives { #alternatives }

I have been creating APIs with complex requirements for several years (Machine Learning, distributed systems, asynchronous jobs, NoSQL databases, etc), leading several teams of developers.

As part of that, I needed to investigate, test and use many alternatives.

            assertTrue(e instanceof InvalidQueryException || e instanceof NullPointerException);
        }
    }

    public void test_execute_withComplexBooleanQuery() {
        // Test executing BoostQuery with a complex BooleanQuery containing multiple clauses
        BooleanQuery.Builder boolBuilder = new BooleanQuery.Builder();
        boolBuilder.add(new TermQuery(new Term("title", "fess")), BooleanClause.Occur.MUST);

 * <ul>
 *   <li>{@code merge} (default): Merges attributes and values</li>
 *   <li>{@code override}: Completely replaces the element</li>
 *   <li>{@code remove}: Removes the element</li>
 * </ul>
 *
 * <p>For complex XML structures, combining can also be done based on:</p>
 * <ul>
 *   <li>ID: Using the {@code combine.id} attribute</li>
 *   <li>Keys: Using the {@code combine.keys} attribute with comma-separated key names</li>
 * </ul>
 *

        }
        return newValue;
    }

    /**
     * Builds the complete query string from the configured parameters.
     * Combines base query, extra queries, field filters, and sort field into a single query string.
     *
     * @return the complete formatted query string
     */
    public String build() {
        final FessConfig fessConfig = ComponentUtil.getFessConfig();

They tend to require more complex configurations, a message/job queue manager, like RabbitMQ or Redis, but they allow you to run background tasks in multiple processes, and especially, in multiple servers.

* Data conversion
* Data validation
* Automatic documentation

## Special types and validation { #special-types-and-validation }

Apart from normal singular types like `str`, `int`, `float`, etc. you can use more complex singular types that inherit from `str`.

        assertEquals(16L, MemoryUtil.sizeOf(Boolean.TRUE));
        assertEquals(16L, MemoryUtil.sizeOf(Boolean.FALSE));
    }

    public void test_sizeOf_complexNestedStructures() {
        // Complex nested structure
        Map<String, Object> complexMap = new HashMap<>();
        complexMap.put("strings", Arrays.asList("test1", "test2"));
        complexMap.put("numbers", Arrays.asList(1, 2, 3));

        // Test with null permissions
        user = new TestFessUser("testuser", new String[] {}, new String[] {}, null);
        assertNull(user.getPermissions());

        // Test with complex permission strings
        permissions = new String[] { "admin:*", "user:read", "document:write:123" };
        user = new TestFessUser("testuser", new String[] {}, new String[] {}, permissions);