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] *}

////

//// tab | Pydantic v1

/// info

	if errCode != ErrUnsignedHeaders {
		t.Fatalf("Expected the APIErrorCode to %d, but got %d", ErrUnsignedHeaders, errCode)
	}

	// case where the list of signed headers doesn't contain the host field.
	signedHeaders = signedHeaders[2:5]
	// expected to fail with `ErrUnsignedHeaders`.
	_, errCode = extractSignedHeaders(signedHeaders, r)
	if errCode != ErrUnsignedHeaders {

  var connection: RealConnection? = null
    private set
  private var timeoutEarlyExit = false

  /**
   * This is the same value as [exchange], but scoped to the execution of the network interceptors.
   * The [exchange] field is assigned to null when its streams end, which may be before or after the
   * network interceptors return.
   */
  internal var interceptorScopedExchange: Exchange? = null
    private set

        }

        if (!clickLogList.isEmpty()) {
            processClickLog(clickLogList);
            updateClickFieldInIndex(clickCountMap);
        }
    }

    /**
     * Updates the click field in the index.
     *
     * @param clickCountMap The click count map.
     */
    protected void updateClickFieldInIndex(final Map<String, Integer> clickCountMap) {
        if (!clickCountMap.isEmpty()) {

 * case of (say) {@link HashSet}, which is an <i>implementation</i>, with semantics that were
 * largely defined by its supertype.
 *
 * <p>For field types and method return types, you should generally use the immutable type (such as
 * {@link ImmutableList}) instead of the general collection interface type (such as {@link List}).

   * usually have much noticeable impact. A value of one permits only one thread to modify the cache
   * at a time, but since read operations and cache loading computations can proceed concurrently,
   * this still yields higher concurrency than full synchronization.
   *
   * <p>Defaults to 4. <b>Note:</b>The default may change in the future. If you care about this
   * value, you should always choose it explicitly.
   *

        }
    }

    public void test_getDocumentExpires() {
        // Test with null config
        assertNull(crawlingInfoHelper.getDocumentExpires(null));

        // Test with documentExpires field set (fallback behavior)
        final long currentTime = 1704067200000L; // 2024-01-01 00:00:00 UTC
        ComponentUtil.register(new SystemHelper() {
            @Override
            public long getCurrentTimeAsLong() {

pkg debug/dwarf, const ClassStringAlt = 14
pkg debug/dwarf, const ClassStringAlt Class
pkg debug/dwarf, method (*Data) LineReader(*Entry) (*LineReader, error)
pkg debug/dwarf, method (*Entry) AttrField(Attr) *Field
pkg debug/dwarf, method (*LineReader) Next(*LineEntry) error
pkg debug/dwarf, method (*LineReader) Reset()
pkg debug/dwarf, method (*LineReader) Seek(LineReaderPos)

	}

	if createdByRel, ok := userSchema.Relationships.Relations["CreatedBy"]; ok {
		if createdByRel.FieldSchema != userSchema {
			t.Fatalf("expects same field schema, but got new %p, old %p", createdByRel.FieldSchema, userSchema)
		}
	} else {
		t.Fatalf("expects created by relations, but not found")
	}
}

func TestEmbeddedHas(t *testing.T) {
	type Toy struct {

Você pode utilizar todas as ferramentas e funcionalidades de validação que são utilizadas nos modelos do Pydantic, como tipos de dados diferentes e validações adicionei com `Field()`.

//// tab | Pydantic v2

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

////

//// tab | Pydantic v1

/// info