verify(mockContext, atLeastOnce()).getConfig();
    }

    @Test
    @DisplayName("Should handle invalid NetBIOS name quickly")
    @Timeout(value = 1, unit = TimeUnit.SECONDS) // Very short timeout
    void testGetNbtByNameInvalid() {
        // When/Then - Should fail quickly with invalid characters
        assertThrows(Exception.class, () -> {
            nameServiceClient.getNbtByName("INVALID@#$%NAME");

## Quick Start

        System.out.printf("Overall Performance Test: completed in %.2f ms%n", totalTimeMs);

        // Should complete very quickly with all optimizations
        assertTrue(totalTimeMs < 100, "All operations should complete quickly with performance fixes");

        pool.close();
    }

    }

    @Test
    @DisplayName("EmptyIterator should be lightweight and efficient")
    void testPerformanceCharacteristics() {
        // When - create many instances quickly
        long startTime = System.currentTimeMillis();

        for (int i = 0; i < 10000; i++) {
            EmptyIterator iterator = new EmptyIterator();
            iterator.hasNext();
            iterator.next();

# About FastAPI versions { #about-fastapi-versions }

**FastAPI** is already being used in production in many applications and systems. And the test coverage is kept at 100%. But its development is still moving quickly.

New features are added frequently, bugs are fixed regularly, and the code is still continuously improving.

func (initialSnapShot LeakDetect) DetectLeak(t TestErrHandler) {
	if t.Failed() {
		return
	}
	// Loop, waiting for goroutines to shut down.
	// Wait up to 5 seconds, but finish as quickly as possible.
	deadline := UTCNow().Add(leakDetectDeadline * time.Second)
	for {
		// get sack snapshot of relevant go routines.
		leaked := initialSnapShot.CompareCurrentSnapshot()

            long startTime = System.nanoTime();
            info.decode(largeBuffer, 0, 24);
            long endTime = System.nanoTime();

            // Should complete quickly (under 1ms)
            assertTrue((endTime - startTime) < 1_000_000);
        }

        @ParameterizedTest
        @ValueSource(ints = { 24, 32, 100, 1000, 10000 })

  /**
   * Returns the value corresponding to the specified row and column indices. The same value is
   * returned by {@code get(rowKeyList().get(rowIndex), columnKeyList().get(columnIndex))}, but this
   * method runs more quickly.
   *
   * @param rowIndex position of the row key in {@link #rowKeyList()}
   * @param columnIndex position of the row key in {@link #columnKeyList()}
   * @return the value with the specified row and column

            assertFalse(auth1.equals(auth3));

            // Test empty vs password
            assertFalse(auth2.equals(auth3));

            // These operations should complete quickly and consistently
            long startTime = System.nanoTime();
            for (int i = 0; i < 1000; i++) {
                auth1.equals(auth2);
                auth1.equals(auth3);
                auth2.equals(auth3);

## Recap { #recap }

With what you have seen up to now, you can set up a secure **FastAPI** application using standards like OAuth2 and JWT.

In almost any framework handling the security becomes a rather complex subject quite quickly.

Many packages that simplify it a lot have to make many compromises with the data model, database, and available features. And some of these packages that simplify things too much actually have security flaws underneath.