Örneğin, **bir dict** veya bir veritabanı objesi döndürmek isteyip, ama **onu bir Pydantic model olarak declare etmek** isteyebilirsiniz. Böylece Pydantic model, döndürdüğünüz obje (ör. dict veya veritabanı objesi) için dokümantasyon, doğrulama vb. işlerin tamamını yapar.

		}
		if result.Objects[2].Name != "obj1" {
			t.Errorf("%s: Expected the object name to be `%s`, but instead found `%s`", instanceType, "obj1", result.Objects[2].Name)
		}
	}
	// check ordering of results with prefix.
	{
		result, err = obj.ListObjects(context.Background(), "bucket", "obj", "", "", 1000)
		if err != nil {

	}

	bucketName := "bucket"
	testCases := []testCaseType{
		{bucketName, "dir/obj1"},
		{bucketName, "dir/obj2"},
		{bucketName, "obj3"},
		{bucketName, "obj_4"},
	}

	if err = obj.MakeBucket(ctx, bucketName, MakeBucketOptions{}); err != nil {
		t.Fatal(err)
	}

	for _, testCase := range testCases {
		_, err = obj.PutObject(ctx, testCase.bucket, testCase.object,

echo "Loading objects to source MinIO instance"
OBJ_CHKSUM=$(openssl dgst -sha256 -binary </tmp/data/obj | base64)
aws s3api --endpoint-url=https://localhost:9001 put-object --checksum-algorithm SHA256 --checksum-sha256 "${OBJ_CHKSUM}" --bucket test-bucket --key obj2 --body /tmp/data/obj --no-verify-ssl --profile enterprise

split -n 10 /tmp/data/mpartobj

    void testEncNdrReferent() {
        Object obj1 = new Object();
        Object obj2 = new Object();

        // Test unique/ref type (type 1 or 3)
        ndrBuffer.enc_ndr_referent(obj1, 1);
        assertEquals(4, ndrBuffer.getIndex());
        assertEquals(System.identityHashCode(obj1), Encdec.dec_uint32le(buffer, 0));

        ndrBuffer.reset();
        ndrBuffer.enc_ndr_referent(obj2, 3);

			}
			if e.Size != int64(w.size) {
				t.Error("got size", e.Size, "want", w.size)
			}
			if e.Objects != uint64(w.objs) {
				t.Error("got objects", e.Objects, "want", w.objs)
			}
			if e.Versions != uint64(w.objs) {
				t.Error("got versions", e.Versions, "want", w.objs)
			}
			if e.ObjSizes != w.oSizes {
				t.Error("got histogram", e.ObjSizes, "want", w.oSizes)
			}
		})
	}

		object ObjectToDelete
	}

	// Transform []delObj to the list of object names
	toNames := func(delObjs []delObj) []ObjectToDelete {
		objs := make([]ObjectToDelete, len(delObjs))
		for i, obj := range delObjs {
			objs[i] = obj.object
		}
		return objs
	}

	// The result of delete operation on all passed objects
	delErrs := make([]error, len(objects))

	// The result of delete objects

package arch

import (
	"cmd/internal/obj"
	"cmd/internal/obj/arm"
	"cmd/internal/obj/arm64"
	"cmd/internal/obj/loong64"
	"cmd/internal/obj/mips"
	"cmd/internal/obj/ppc64"
	"cmd/internal/obj/riscv"
	"cmd/internal/obj/s390x"
	"cmd/internal/obj/wasm"
	"cmd/internal/obj/x86"
	"fmt"
	"strings"
)

Il devient alors très simple de fournir un autre objet de paramètres pendant les tests en créant une surcharge de dépendance pour `get_settings` :

{* ../../docs_src/settings/app02_an_py310/test_main.py hl[9:10,13,21] *}

Dans la surcharge de dépendance, nous définissons une nouvelle valeur pour `admin_email` lors de la création du nouvel objet `Settings`, puis nous renvoyons ce nouvel objet.

Nous pouvons ensuite tester qu'il est bien utilisé.

	if addr.Type != obj.TYPE_REG || addr.Offset != 0 || addr.Name != 0 || addr.Index != 0 {
		p.errorf("%s: expected register; found %s", op, obj.Dconv(prog, addr))
	}
	return addr.Reg
}

// getSpecial checks that addr represents a special operand and returns its value.
func (p *Parser) getSpecial(prog *obj.Prog, op obj.As, addr *obj.Addr) int64 {