Um sicherzustellen, dass Sie nicht mehr Daten zurückgeben, als Sie sollten, lesen Sie die Dokumentation unter [Tutorial – Responsemodell – Rückgabetyp](../tutorial/response-model.md).

## Response-Leistung optimieren – Responsemodell – Rückgabetyp { #optimize-response-performance-response-model-return-type }

  int num_dims = TF_NumDims(t);
  for (int i = 0; i < num_dims; i++) {
    out_dims[i] = TF_Dim(t, i);
  }
}

// Runs model as is if output is a scalar,
// else sums the output tensor before returning.
absl::Status RunAndMaybeSum(AbstractContext* ctx, Model forward,
                            absl::Span<AbstractTensorHandle* const> inputs,
                            absl::Span<AbstractTensorHandle*> outputs,

        fields_to_extract = get_cached_model_fields(first_field.field_info.annotation)
        single_not_embedded_field = True
        # If headers are in a Pydantic model, the way to disable convert_underscores
        # would be with Header(convert_underscores=False) at the Pydantic model level
        default_convert_underscores = getattr(
            first_field.field_info, "convert_underscores", True
        )

	"gorm.io/gorm/utils"
)

func SetupUpdateReflectValue(db *gorm.DB) {
	if db.Error == nil && db.Statement.Schema != nil {
		if !db.Statement.ReflectValue.CanAddr() || db.Statement.Model != db.Statement.Dest {
			db.Statement.ReflectValue = reflect.ValueOf(db.Statement.Model)
			for db.Statement.ReflectValue.Kind() == reflect.Ptr {
				db.Statement.ReflectValue = db.Statement.ReflectValue.Elem()
			}

import (
	"bytes"
	"context"
	"fmt"
	"reflect"
	"strings"
	"testing"
	"time"

	"gorm.io/gorm"
	"gorm.io/gorm/schema"
	. "gorm.io/gorm/utils/tests"
)

type SerializerStruct struct {
	gorm.Model
	Name                   []byte                 `gorm:"json"`
	Roles                  Roles                  `gorm:"serializer:json"`
	Roles2                 *Roles                 `gorm:"serializer:json"`

 * <ol>
 * <li>success - in which case only the model field is set
 * <li>success with warnings - model field + non-error model problems
 * <li>error - no model, but diagnostics
 * <li>error - (partial) model and diagnostics
 * </ol>
 * Could encode these variants as subclasses, but kept in one for now
 *
 * @param <T> the model type
 * @deprecated use {@code org.apache.maven.api.services.ModelBuilder} instead

{* ../../docs_src/stream_json_lines/tutorial001_py310.py ln[1:24] hl[24] *}

Si chaque élément JSON que vous voulez renvoyer est de type `Item` (un modèle Pydantic) et que c'est une fonction async, vous pouvez déclarer le type de retour comme `AsyncIterable[Item]` :

{* ../../docs_src/stream_json_lines/tutorial001_py310.py ln[1:24] hl[9:11,22] *}

但此處示例使用 `PATCH`，因為它正是為這類情境設計的。

///

/// note | 注意

請注意，輸入的模型依然會被驗證。

因此，如果你希望接收可以省略所有屬性的部分更新，你需要一個所有屬性皆為可選（具預設值或為 `None`）的模型。

為了區分用於更新（全部可選）與用於建立（欄位為必填）的模型，你可以參考 [額外模型](extra-models.md) 中的做法。

        Mockito.verify(context.logger)
                .info(
                        "  -a, --all             Apply all upgrades (equivalent to --model-version 4.1.0 --infer --model --plugins)");
    }

    @Test
    void testHelpIncludesDefaultBehavior() throws Exception {
        UpgradeContext context = createMockContext();

        help.execute(context);

import gradlebuild.binarycompatibility.sources.SinceTagStatus
import gradlebuild.binarycompatibility.sources.SourcesRepository
import japicmp.model.JApiClass
import japicmp.model.JApiCompatibility
import japicmp.model.JApiMethod
import javassist.bytecode.SourceFileAttribute
import java.io.File


/**
 * Repository of sources for binary compatibility checks.
 *