// to create Client objects configured for SHA-256 hashing.
var KafkaSHA256 scram.HashGeneratorFcn = sha256.New

// KafkaSHA512 is a function that returns a crypto/sha512 hasher and should be used
// to create Client objects configured for SHA-512 hashing.
var KafkaSHA512 scram.HashGeneratorFcn = sha512.New

// XDGSCRAMClient implements the client-side of an authentication

		*m = nil
		return bts, nil
	}
	var zb0002 uint32
	zb0002, bts, err = msgp.ReadMapHeaderBytes(bts)
	if err != nil {
		err = msgp.WrapError(err, "Values")
		return o, err
	}
	dst := *m
	if dst == nil {
		dst = make(map[string]string, zb0002)
	} else if len(dst) > 0 {
		for key := range dst {
			delete(dst, key)
		}
	}
	for zb0002 > 0 {
		var za0001 string
		var za0002 string
		zb0002--

  class Builder {
    private var notBefore = -1L
    private var notAfter = -1L
    private var commonName: String? = null
    private var organizationalUnit: String? = null
    private val altNames = mutableListOf<String>()
    private var serialNumber: BigInteger? = null
    private var keyPair: KeyPair? = null
    private var signedBy: HeldCertificate? = null
    private var maxIntermediateCas = -1

 *
 * Build up a collection by starting with [EmptyTags] and repeatedly calling [plus]. Each such call
 * returns a new instance.
 *
 * This collection is optimized for safe concurrent access over a very small number of elements.
 *
 * This collection and is expected to hold fewer than 10 elements. Each operation is _O(N)_, and so
 * building an instance with _N_ elements is _O(N**2)_.
 */
internal sealed class Tags {

    price: float
    tax: float | None = None

    model_config = {
        "json_schema_extra": {
            "examples": [
                {
                    "name": "Foo",
                    "description": "A very nice Item",
                    "price": 35.4,
                    "tax": 3.2,
                }
            ]
        }
    }


@app.put("/items/{item_id}")
async def update_item(item_id: int, item: Item):

@app.put("/items/{item_id}")
async def update_item(
    item_id: int,
    item: Item = Body(
        examples=[
            {
                "name": "Foo",
                "description": "A very nice Item",
                "price": 35.4,
                "tax": 3.2,
            }
        ],
    ),
):
    results = {"item_id": item_id, "item": item}

from fastapi import FastAPI
from pydantic import BaseModel, Field

app = FastAPI()


class Item(BaseModel):
    name: str = Field(examples=["Foo"])
    description: Union[str, None] = Field(default=None, examples=["A very nice Item"])
    price: float = Field(examples=[35.4])
    tax: Union[float, None] = Field(default=None, examples=[3.2])


@app.put("/items/{item_id}")
async def update_item(item_id: int, item: Item):

	}

	references := make([]interface{}, 0, len(constraint.References))
	for _, field := range constraint.References {
		references = append(references, clause.Column{Name: field.DBName})
	}
	vars = append(vars, clause.Table{Name: constraint.Name}, foreignKeys, clause.Table{Name: constraint.ReferenceSchema.Table}, references)
	return
}

func (rel *Relationship) ParseConstraint() *Constraint {

		}
		zw.Close()
	}

	b.ReportAllocs()
	// Run once and then reset the timer.
	// This effectively discards the very large initial flate setup cost,
	// as well as the initialization of bigBuf.
	runOnce(&bytes.Buffer{})
	b.ResetTimer()

	b.RunParallel(func(pb *testing.PB) {
		var buf bytes.Buffer
		for pb.Next() {
			runOnce(&buf)
		}
	})
}

func writeTestsToFS(tests []WriteTest) fs.FS {

		if !db.DryRun && db.Error == nil {
			ok, mode := hasReturning(db, supportReturning)
			if !ok {
				result, err := db.Statement.ConnPool.ExecContext(db.Statement.Context, db.Statement.SQL.String(), db.Statement.Vars...)

				if db.AddError(err) == nil {
					db.RowsAffected, _ = result.RowsAffected()

					if db.Statement.Result != nil {
						db.Statement.Result.Result = result