With **FastAPI** you get all of **Pydantic**'s features (as FastAPI is based on Pydantic for all the data handling):

* **No brainfuck**:
    * No new schema definition micro-language to learn.
    * If you know Python types you know how to use Pydantic.

   | However, this repository may have problems with heavy traffic at times, so people have mirrored
   | it to several places.
   |
   | That repository definition will have a unique id, so we can create a mirror reference for that
   | repository, to be used as an alternate download site. The mirror site will be the preferred
   | server for that repository.
   |-->
  <mirrors>

message TypeChecking {
  // The type checking warnings for each expression.
  // +optional
  // +listType=atomic
  repeated ExpressionWarning expressionWarnings = 1;
}

// ValidatingAdmissionPolicy describes the definition of an admission validation policy that accepts or rejects an object without changing it.
message ValidatingAdmissionPolicy {

 */
public class BsUser extends EsAbstractEntity {

    // ===================================================================================
    //                                                                          Definition
    //                                                                          ==========
    private static final long serialVersionUID = 1L;

				return err
			}
		}
	}
	return nil
}

// Option gorm option interface
type Option interface {
	Apply(*Config) error
	AfterInitialize(*DB) error
}

// DB GORM DB definition
type DB struct {
	*Config
	Error        error
	RowsAffected int64
	Statement    *Statement
	clone        int
}

// Session session config when create session with Session() method

```

### Bearbeiten Sie es

Es ist ein sehr einfaches Programm.

Aber nun stellen Sie sich vor, Sie würden es selbst schreiben.

Irgendwann sind die Funktions-Parameter fertig, Sie starten mit der Definition des Körpers ...

Aber dann müssen Sie „diese Methode aufrufen, die den ersten Buchstaben in Großbuchstaben umwandelt“.

War es `upper`? War es `uppercase`? `first_uppercase`? `capitalize`?

                                              TF_Status* status);

// Fetches the current number of inputs attached to `op`.
//
// Does not use the operation's definition to determine how many inputs should
// be attached. It is intended for use with TFE_OpGetFlatInput to inspect an
// already-finalized operation.
//

  //   to allow for explanatory text as described in section 5.2 of RFC7468.
  //
  // If more than one PEM block is present, and the definition of the requested spec.signerName
  // does not indicate otherwise, the first block is the issued certificate,
  // and subsequent blocks should be treated as intermediate certificates and presented in TLS handshakes.
  //

 * <i>x</i> such that <i>statement</i>.")
 *
 * <blockquote>
 *
 * <table>
 * <caption>Range Types</caption>
 * <tr><th>Notation        <th>Definition               <th>Factory method
 * <tr><td>{@code (a..b)}  <td>{@code {x | a < x < b}}  <td>{@link Range#open open}
 * <tr><td>{@code [a..b]}  <td>{@code {x | a <= x <= b}}<td>{@link Range#closed closed}

Für diese Funktionen wurde Marshmallow entwickelt. Es ist eine großartige Bibliothek und ich habe sie schon oft genutzt.

Aber sie wurde erstellt, bevor Typhinweise in Python existierten. Um also ein <abbr title="die Definition, wie Daten geformt sein werden sollen">Schema</abbr> zu definieren, müssen Sie bestimmte Werkzeuge und Klassen verwenden, die von Marshmallow bereitgestellt werden.

/// check | "Inspirierte **FastAPI**"