///

/// info | Información

También puedes usar:

* `response_model_exclude_defaults=True`
* `response_model_exclude_none=True`

		GetUser("delete-returning-2", Config{}),
		GetUser("delete-returning-3", Config{}),
	}
	DB.Create(&users)

	var results []User
	DB.Where("name IN ?", []string{users[0].Name, users[1].Name}).Clauses(clause.Returning{}).Delete(&results)
	if len(results) != 2 {
		t.Errorf("failed to return delete data, got %v", results)
	}

	var count int64

// Expression represents a logical disjunction of clauses
type Expression struct {
	And []*AndCondition `parser:"@@ ( \"OR\" @@ )*"`
}

// ListExpr represents a literal list with elements as expressions.
type ListExpr struct {
	Elements []*Expression `parser:"\"(\" @@ ( \",\" @@ )* \")\" | \"[\" @@ ( \",\" @@ )* \"]\""`
}

// AndCondition represents logical conjunction of clauses
type AndCondition struct {

/// info | Informação

A menos que você especifique um media type diferente explicitamente em seu parâmetro `responses`, o FastAPI assumirá que o retorno possui o mesmo media type contido na classe principal de retorno (padrão `application/json`).

Porém se você especificou uma classe de retorno com o valor `None` como media type, o FastAPI utilizará `application/json` para qualquer retorno adicional que possui um modelo associado.

///

			"row":    {db: db},
			"raw":    {db: db},
		},
	}
}

// callbacks gorm callbacks manager
type callbacks struct {
	processors map[string]*processor
}

type processor struct {
	db        *DB
	Clauses   []string
	fns       []func(*DB)
	callbacks []*callback
}

type callback struct {
	name      string
	before    string
	after     string
	remove    bool
	replace   bool
	match     func(*DB) bool

import java.util.ArrayList;
import java.util.List;

import org.apache.lucene.analysis.Analyzer;
import org.apache.lucene.analysis.core.WhitespaceAnalyzer;
import org.apache.lucene.queryparser.classic.ParseException;
import org.apache.lucene.queryparser.classic.QueryParser.Operator;
import org.apache.lucene.queryparser.ext.ExtendableQueryParser;
import org.apache.lucene.queryparser.ext.Extensions.Pair;
import org.apache.lucene.search.PhraseQuery;

{* ../../docs_src/cookie_params/tutorial001_an_py310.py hl[9] *}

/// note | Detalles Técnicos

`Cookie` es una clase "hermana" de `Path` y `Query`. También hereda de la misma clase común `Param`.

Pero recuerda que cuando importas `Query`, `Path`, `Cookie` y otros desde `fastapi`, en realidad son funciones que devuelven clases especiales.

///

/// info | Información

					}

					rnnColumn := clause.Column{Name: "gorm_preload_rnn"}
					sql := "ROW_NUMBER() OVER (PARTITION BY ? ?)"
					vars := []interface{}{partitionBy}
					if orderBy, ok := q.db.Statement.Clauses["ORDER BY"]; ok {
						vars = append(vars, orderBy)
					} else {
						vars = append(vars, clause.Clause{Name: "ORDER BY", Expression: clause.OrderBy{
							Columns: []clause.OrderByColumn{{Column: clause.PrimaryColumn, Desc: true}},

        final BoolQueryBuilder boolQuery = QueryBuilders.boolQuery();
        for (final BooleanClause clause : booleanQuery.clauses()) {
            final QueryBuilder queryBuilder = getQueryProcessor().execute(context, clause.query(), boost);
            if (queryBuilder != null) {
                switch (clause.occur()) {
                case MUST:
                    boolQuery.must(queryBuilder);
                    break;

///

## Importez le `BaseModel` de Pydantic

Commencez par importer la classe `BaseModel` du module `pydantic` :

{* ../../docs_src/body/tutorial001.py hl[4] *}

## Créez votre modèle de données

Déclarez ensuite votre modèle de données en tant que classe qui hérite de `BaseModel`.

Utilisez les types Python standard pour tous les attributs :