}

	var find1 Value
	err := DB.Joins("Nested").Joins("Nested.Join").Preload("Nested.Preloads").First(&find1, value1.ID).Error
	if err != nil {
		t.Errorf("failed to find value, got err: %v", err)
	}
	AssertEqual(t, find1, value1)

	var find2 Value
	// Joins will automatically add Nested queries.
	err = DB.Joins("Nested.Join").Preload("Nested.Preloads").First(&find2, value2.ID).Error
	if err != nil {

It's the most popular Python framework and is widely trusted. It is used to build systems like Instagram.

It's relatively tightly coupled with relational databases (like MySQL or PostgreSQL), so, having a NoSQL database (like Couchbase, MongoDB, Cassandra, etc) as the main store engine is not very easy.

import org.jetbrains.kotlin.analysis.api.impl.base.test.cases.symbols.AbstractSingleSymbolByPsiTest;
import org.jetbrains.kotlin.test.TestMetadata;
import org.junit.jupiter.api.Nested;
import org.junit.jupiter.api.Test;

import java.io.File;
import java.util.regex.Pattern;

							}
						} else {
							matchedFieldCount[column] = 1
						}
					} else if names := utils.SplitNestedRelationName(column); len(names) > 1 { // has nested relation
						if rel, ok := sch.Relationships.Relations[names[0]]; ok {
							subNameCount := len(names)
							// nested relation fields
							relFields := make([]*schema.Field, 0, subNameCount-1)
							relFields = append(relFields, rel.Field)

    assert response.json() == {"foo": "baz"}


def test_nested_router():
    app = FastAPI()

    router = APIRouter(prefix="/nested")

    @router.get("/test")
    async def test(var: Annotated[str, Query()] = "bar"):
        return {"foo": var}

    app.include_router(router)

    client = TestClient(app)

    response = client.get("/nested/test")
    assert response.status_code == 200

            // refer to the same class and classId should be null if `qualifiedAccess` references to a package.
            var classId: ClassId? = referencedClassId

            // Handle nested classes.
            while (classId != null) {
                if (expression === qualifiedAccess.selectorExpression?.referenceExpression()) {
                    return listOfNotNull(classId.toTargetPsi(session, symbolBuilder))

import org.jetbrains.kotlin.analysis.api.impl.base.test.cases.components.expressionTypeProvider.AbstractHLExpressionTypeTest;
import org.jetbrains.kotlin.test.TestMetadata;
import org.junit.jupiter.api.Nested;
import org.junit.jupiter.api.Test;

import java.io.File;
import java.util.regex.Pattern;

package callbacks

import (
	"fmt"
	"reflect"
	"sort"
	"strings"

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

// parsePreloadMap extracts nested preloads. e.g.
//
//	// schema has a "k0" relation and a "k7.k8" embedded relation
//	parsePreloadMap(schema, map[string][]interface{}{
//		clause.Associations: {"arg1"},
//		"k1":                {"arg2"},

        val nestedType = KtFe10JvmTypeMapperContext.getNestedType(type)
        renderTypeSegment(nestedType.root, printer)
        printer.printCollectionIfNotEmpty(nestedType.nested, separator = ".", prefix = ".", postfix = "") {
            renderTypeSegment(it, printer)
        }
    }

    private fun Fe10AnalysisContext.renderTypeSegment(typeSegment: PossiblyInnerType, printer: PrettyPrinter) {

![editor support](https://fastapi.tiangolo.com/img/pycharm-completion.png)


Daha önceden düşünüp en imkansız diyebileceğin durumlarda bile otomatik tamamlama alacaksın, örnek olarak `price` JSON body içerisinde (nested bir JSON body de olabilirdi.) direkt olarak istekten geliyor, bu durumda bile oto-tammalama sağlıyor.