- github.com/google/go-cmp: [v0.5.6 → v0.5.8](https://github.com/google/go-cmp/compare/v0.5.6...v0.5.8)
- github.com/onsi/ginkgo/v2: [v2.1.4 → v2.1.6](https://github.com/onsi/ginkgo/v2/compare/v2.1.4...v2.1.6)
- github.com/onsi/gomega: [v1.19.0 → v1.20.1](https://github.com/onsi/gomega/compare/v1.19.0...v1.20.1)

### Removed
_Nothing has changed._



# v1.25.0

/// info | Información

En Pydantic v1 el método se llamaba `.dict()`, fue deprecado (pero aún soportado) en Pydantic v2, y renombrado a `.model_dump()`.

Los ejemplos aquí usan `.dict()` para compatibilidad con Pydantic v1, pero deberías usar `.model_dump()` en su lugar si puedes usar Pydantic v2.

///

### Acerca de `**user_in.dict()` { #about-user-in-dict }

#### `.dict()` de Pydantic { #pydantics-dict }

//// tab | Pydantic v2

{* ../../docs_src/path_operation_advanced_configuration/tutorial007_py39.py hl[15:20, 22] *}

////

//// tab | Pydantic v1

//// tab | Pydantic v2

{* ../../docs_src/path_operation_advanced_configuration/tutorial007_py39.py hl[15:20, 22] *}

////

//// tab | Pydantic v1

    checkNotNull(keyFunction);
    checkNotNull(valueFunction);
    return Collector.of(
        () ->
            new EnumMapAccumulator<K, V>(
                (v1, v2) -> {
                  throw new IllegalArgumentException("Multiple values for key: " + v1 + ", " + v2);
                }),
        (accum, t) -> {
          /*
           * We assign these to variables before calling checkNotNull to work around a bug in our

Вы можете использовать все те же возможности валидации и инструменты, что и для Pydantic‑моделей, например разные типы данных и дополнительную валидацию через `Field()`.

//// tab | Pydantic v2

{* ../../docs_src/settings/tutorial001_py39.py hl[2,5:8,11] *}

////

//// tab | Pydantic v1

/// info | Информация

/// info | Informação

No Pydantic v1 o método se chamava `.dict()`, ele foi descontinuado (mas ainda é suportado) no Pydantic v2 e renomeado para `.model_dump()`.

Os exemplos aqui usam `.dict()` por compatibilidade com o Pydantic v1, mas você deve usar `.model_dump()` se puder usar o Pydantic v2.

///

### Sobre `**user_in.dict()` { #about-user-in-dict }

#### O `.dict()` do Pydantic { #pydantics-dict }

import (
	"context"
	"fmt"
	"strconv"
	"strings"
)

// markerTagVersion is the marker version.
// Should not need to be updated unless a fundamental change is made to the marker format.
const markerTagVersion = "v2"

// parseMarker will parse a marker possibly encoded with encodeMarker
func (o *listPathOptions) parseMarker() {
	s := o.Marker
	if !strings.Contains(s, "[minio_cache:"+markerTagVersion) {
		return
	}

#include "tensorflow/core/util/tensor_slice_reader.h"

namespace tensorflow {
namespace checkpoint {

class TensorSliceReader;

// A wrapper around BundleReader (for V2 checkpoints) and
// checkpoint::TensorSliceReader (for V1), that is more easily SWIG wrapped for
// other languages.
//
// The class currently only interacts with single-slice (i.e., non-partitioned)
// variables.

        assertTrue(keyManager.hasSessionKey(sessionId + ".v3"), "Version 3 should exist");
        assertFalse(keyManager.hasSessionKey(sessionId + ".v2"), "Version 2 should be removed");
        assertFalse(keyManager.hasSessionKey(sessionId + ".v1"), "Version 1 should be removed");
        assertFalse(keyManager.hasSessionKey(sessionId + ".v0"), "Version 0 should be removed");