func (sys *HTTPConsoleLoggerSys) String() string {
	return logger.ConsoleLoggerTgt
}

// Stats returns the target statistics.
func (sys *HTTPConsoleLoggerSys) Stats() types.TargetStats {
	return types.TargetStats{
		TotalMessages:  atomic.LoadInt64(&sys.totalMessages),
		FailedMessages: atomic.LoadInt64(&sys.failedMessages),
		QueueLength:    0,
	}
}

// Content returns the console stdout log

     * @param ctype2
     *            The array of character types.
     * @param val
     *            The character code.
     */
    protected static void wordChar(final byte[] ctype2, final int val) {
        ctype2[val] |= CT_ALPHA;
    }

    /**
     * Sets characters as whitespace.
     *
     * @param ctype2
     *            The array of character types.
     * @param low

Si vous souhaitez un rappel de 2 minutes sur l'utilisation des types en Python (même si vous ne comptez pas utiliser FastAPI), jetez un oeil au tutoriel suivant: [Python Types](python-types.md){.internal-link target=_blank}.

Vous écrivez du python standard avec des annotations de types:

```Python
from datetime import date

from pydantic import BaseModel

name: Issue Manager

on:
  schedule:
    - cron: "13 22 * * *"
  issue_comment:
    types:
      - created
  issues:
    types:
      - labeled
  pull_request_target:
    types:
      - labeled
  workflow_dispatch:

permissions:
  issues: write
  pull-requests: write

jobs:
  issue-manager:
    if: github.repository_owner == 'fastapi'
    runs-on: ubuntu-latest
    steps:

pkg go/types, method (*Interface) EmbeddedTypes() iter.Seq[Type] #66626
pkg go/types, method (*Interface) ExplicitMethods() iter.Seq[*Func] #66626
pkg go/types, method (*Interface) Methods() iter.Seq[*Func] #66626
pkg go/types, method (*MethodSet) Methods() iter.Seq[*Selection] #66626
pkg go/types, method (*Named) Methods() iter.Seq[*Func] #66626
pkg go/types, method (*Scope) Children() iter.Seq[*Scope] #66626

     */
    private final String methodName;

    /**
     * The argument types.
     */
    private final Class<?>[] argTypes;

    /**
     * Creates a {@link NoSuchMethodRuntimeException}.
     *
     * @param targetClass the target class
     * @param methodName the method name
     * @param argTypes the argument types
     * @param cause the underlying exception
     */

    # TODO: in theory this would allow declaring types that could be lists of bytes
    # to be read from files and other types, but I'm not even sure it's a good idea
    # to support it as a first class "feature"
    assert is_bytes_sequence_annotation(Union[list[str], list[bytes]])


def test_is_uploadfile_sequence_annotation():
    # For coverage
    # TODO: in theory this would allow declaring types that could be lists of UploadFile

pkg go/ast, type Scope //deprecated #52463
pkg go/types, func NewAlias(*TypeName, Type) *Alias #63223
pkg go/types, func Unalias(Type) Type #63223
pkg go/types, method (*Alias) Obj() *TypeName #63223
pkg go/types, method (*Alias) String() string #63223
pkg go/types, method (*Alias) Underlying() Type #63223
pkg go/types, method (*Info) PkgNameOf(*ast.ImportSpec) *PkgName #62037
pkg go/types, method (Checker) PkgNameOf(*ast.ImportSpec) *PkgName #62037

        Object obj = 123; // Integer
        assertThrows(PACDecodingException.class, () -> {
            ASN1Util.as(String.class, obj);
        }, "Should throw PACDecodingException for incompatible types");
    }

    // --- as(Class, Enumeration) ---

    @Test
    void testAs_Enumeration_Success() throws PACDecodingException {
        // Test successful casting from enumeration

{* ../../docs_src/body/tutorial001_py310.py hl[2] *}

## Crea tu modelo de datos { #create-your-data-model }

Luego, declaras tu modelo de datos como una clase que hereda de `BaseModel`.

Usa tipos estándar de Python para todos los atributos:

{* ../../docs_src/body/tutorial001_py310.py hl[5:9] *}