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.

---

**FastAPI** doesn't make any compromise with any database, data model or tool.

        "@platforms//cpu:x86_64",
    ],
    visibility = ["//visibility:public"],
)

# Features that are default ON are handled differently below.
#
config_setting(
    name = "no_gcp_support",
    define_values = {"no_gcp_support": "true"},
    visibility = ["//visibility:public"],
)

# Experimental features
config_setting(
    name = "stackdriver_support",
    define_values = {"stackdriver_support": "true"},

 * <Long>}:
 *
 * <ul>
 *   <li>Improved memory compactness and locality.
 *   <li>Can be queried without allocating garbage.
 *   <li>Access to {@code LongStream} features (like {@link LongStream#sum}) using {@code stream()}
 *       instead of the awkward {@code stream().mapToLong(v -> v)}.
 * </ul>
 *
 * <p>Disadvantages compared to {@code ImmutableList<Long>}:
 *
 * <ul>

 * <Integer>}:
 *
 * <ul>
 *   <li>Improved memory compactness and locality.
 *   <li>Can be queried without allocating garbage.
 *   <li>Access to {@code IntStream} features (like {@link IntStream#sum}) using {@code stream()}
 *       instead of the awkward {@code stream().mapToInt(v -> v)}.
 * </ul>
 *
 * <p>Disadvantages compared to {@code ImmutableList<Integer>}:
 *
 * <ul>

}

// BackendDown is returned for network errors
type BackendDown struct {
	Err string
}

func (e BackendDown) Error() string {
	return e.Err
}

// NotImplemented If a feature is not implemented
type NotImplemented struct {
	Message string
}

func (e NotImplemented) Error() string {
	return e.Message
}

// UnsupportedMetadata - unsupported metadata

 * types of crawlers (web, file, data). It manages the crawler process lifecycle,
 * handles timeout scenarios, and ensures proper cleanup of resources.</p>
 *
 * <p>Key features:</p>
 * <ul>
 *   <li>Concurrent crawler process management with configurable limits</li>
 *   <li>Selective crawling based on configuration IDs</li>
 *   <li>Document expiration handling</li>

            IllegalArgumentException.class, () -> networkAsMutableNetwork.addEdge(N1, N1, E11));
    assertThat(e).hasMessageThat().contains(ERROR_SELF_LOOP);
  }

  /**
   * This test checks an implementation dependent feature. It tests that the method {@code addEdge}
   * will silently add the missing nodes to the graph, then add the edge connecting them. We are not

import jcifs.CIFSException;
import jcifs.Configuration;

/**
 * SMB3 Multi-Channel Manager.
 *
 * Manages multiple network connections for improved performance and redundancy
 * as specified in the SMB 3.x multi-channel feature.
 */
public class MultiChannelManager {

    private static final Logger log = LoggerFactory.getLogger(MultiChannelManager.class);

    // Multi-channel configuration
    private final Configuration config;

 * crawling and indexing documents, including incremental crawling capabilities, content
 * modification checking, and integration with the Fess search engine backend.
 *
 * <p>Key features include:</p>
 * <ul>
 * <li>Incremental crawling support with last-modified timestamp checking</li>
 * <li>Document expiration handling</li>
 * <li>Child URL extraction and queueing</li>

The same way as with Pydantic models, you declare class attributes with type annotations, and possibly default values.

You can use all the same validation features and tools you use for Pydantic models, like different data types and additional validations with `Field()`.

//// tab | Pydantic v2

{* ../../docs_src/settings/tutorial001.py hl[2,5:8,11] *}

////