#### Define a *path operation decorator* { #define-a-path-operation-decorator }

{* ../../docs_src/first_steps/tutorial001.py hl[6] *}

The `@app.get("/")` tells **FastAPI** that the function right below is in charge of handling requests that go to:

* the path `/`
* using a <abbr title="an HTTP GET method"><code>get</code> operation</abbr>

/// info | `@decorator` Info

That `@something` syntax in Python is called a "decorator".

- **Comprehensive Content Extraction**: Office documents, PDFs, archives, images, audio/video files
- **Multi-Threading**: Configurable thread pools for high-performance crawling
- **Fault Tolerance**: Built-in retry mechanisms and error handling
- **Flexible Configuration**: XML-based dependency injection with LastaFlute DI
- **Extensible Architecture**: Plugin system for custom extractors, transformers, and clients

	// Check for base-256 (binary) format first.
	// If the first bit is set, then all following bits constitute a two's
	// complement encoded number in big-endian byte order.
	if len(b) > 0 && b[0]&0x80 != 0 {
		// Handling negative numbers relies on the following identity:
		//	-a-1 == ^a
		//
		// If the number is negative, we use an inversion mask to invert the
		// data bytes and treat the value as an unsigned number.

import jcifs.internal.util.SMBUtil;
import jcifs.util.Hexdump;

/**
 * Base class for SMB1 transaction request messages.
 * This abstract class provides the foundation for all SMB1 transaction commands, handling
 * parameter and data buffer encoding, multi-part transactions, and setup word management.
 */
public abstract class SmbComTransaction extends ServerMessageBlock implements Enumeration<SmbComTransaction> {

        } catch (final IOException e) {
            logger.warn("Failed to write a sugget elevate word.", e);
        }
    }

    /**
     * Safely retrieves a value from a list at the specified index, handling bounds checking
     * and cleaning up quoted strings.
     *
     * @param list the list to retrieve the value from
     * @param index the index of the value to retrieve

        // Note: bytesPerSect is read as Int2 but 4 bytes are consumed (padding)
        assertEquals(20, bytesDecoded);
    }

    @Test
    @DisplayName("Test capacity calculation overflow handling")
    void testCapacityCalculationOverflow() throws SMBProtocolDecodingException {
        // Prepare test data that might cause overflow in naive implementations
        byte[] buffer = new byte[22];

            // Then: Should return binding's string representation
            assertEquals("mockBindingString", result);
        }
    }

    @Nested
    @DisplayName("Edge Cases and Error Handling")
    class EdgeCaseTests {

        @Test
        @DisplayName("Should handle null binding toString")
        void testToStringWithNullBinding() {
            // Given: Handle with null binding

With **FastAPI** you get all of **Pydantic**'s features (as FastAPI is based on Pydantic for all the data handling):

* **No brainfuck**:
    * No new schema definition micro-language to learn.
    * If you know Python types you know how to use Pydantic.

        assertFalse(urlFilter.match("https://example.com/document.pdf"));
        assertTrue(urlFilter.match("https://example.com/document.PDF"));
    }

    /**
     * Test very long URL handling
     */
    public void test_veryLongUrl() {
        String sessionId = "test-session-020";
        urlFilter.init(sessionId);

        // Create a very long URL

## 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.