CURRENT = JAVA6;
      }
    }

    abstract Type newArrayType(Type componentType);

    abstract Type usedInGenericType(Type type);

    final ImmutableList<Type> usedInGenericType(Type[] types) {
      ImmutableList.Builder<Type> builder = ImmutableList.builder();
      for (Type type : types) {
        builder.add(usedInGenericType(type));
      }
      return builder.build();
    }

        CURRENT = JAVA6;
      }
    }

    abstract Type newArrayType(Type componentType);

    abstract Type usedInGenericType(Type type);

    final ImmutableList<Type> usedInGenericType(Type[] types) {
      ImmutableList.Builder<Type> builder = ImmutableList.builder();
      for (Type type : types) {
        builder.add(usedInGenericType(type));
      }
      return builder.build();
    }

E também que o seu código será muito compatível com diversas outras ferramentas e bibliotecas Python. 🚀

///

## Type hints no **FastAPI** { #type-hints-in-fastapi }

O **FastAPI** aproveita esses type hints para fazer várias coisas.

Com o **FastAPI**, você declara parâmetros com type hints e obtém:

* **Suporte ao editor**.
* **Verificações de tipo**.

... e o **FastAPI** usa as mesmas declarações para:

# Python Types Intro { #python-types-intro }

Python has support for optional "type hints" (also called "type annotations").

These **"type hints"** or annotations are a special syntax that allow declaring the <abbr title="for example: str, int, float, bool">type</abbr> of a variable.

By declaring types for your variables, editors and tools can give you better support.

import types
from enum import Enum
from typing import Any, Callable, Optional, TypeVar, Union

from pydantic import BaseModel

DecoratedCallable = TypeVar("DecoratedCallable", bound=Callable[..., Any])
UnionType = getattr(types, "UnionType", Union)
ModelNameMap = dict[Union[type[BaseModel], type[Enum]], str]
IncEx = Union[set[int], set[str], dict[int, Any], dict[str, Any]]

	return bytes, json.Unmarshal(val, j.val)
}

// Msgsize returns the size of an empty JSON object.
func (j *JSON[T]) Msgsize() int {
	return j.p.emptySz
}

// NoPayload is a type that can be used for handlers that do not use a payload.
type NoPayload struct{}

// Msgsize returns 0.
func (p NoPayload) Msgsize() int {
	return 0
}

// UnmarshalMsg satisfies the interface, but is a no-op.

// Error implements Error interface
func (b BatchJobYamlErr) Error() string {
	return fmt.Sprintf("%s\n Hint: error near line: %d, col: %d", b.msg, b.line, b.col)
}

// BatchJobKV is a key-value data type which supports wildcard matching
type BatchJobKV struct {
	line, col int
	Key       string `yaml:"key" json:"key"`
	Value     string `yaml:"value" json:"value"`
}

var _ yaml.Unmarshaler = &BatchJobKV{}

    }

    /**
     * Sets the MIC
     *
     * @param type1 the Type-1 message bytes
     * @param type2 the Type-2 message bytes
     * @throws GeneralSecurityException if a cryptographic error occurs
     * @throws IOException if an I/O error occurs
     */
    public void setupMIC(final byte[] type1, final byte[] type2) throws GeneralSecurityException, IOException {
        final byte[] sk = this.masterKey;

    // Packet Types (ptype)
    /**
     * Request packet type
     */
    int RPC_PT_REQUEST = 0x00;
    /**
     * Ping packet type
     */
    int RPC_PT_PING = 0x01;
    /**
     * Response packet type
     */
    int RPC_PT_RESPONSE = 0x02;
    /**
     * Fault packet type - indicates an error
     */
    int RPC_PT_FAULT = 0x03;
    /**

    /**
     * Creates a Type-3 message in response to the given Type-2 message.
     *
     * @param type2 the Type-2 message to respond to
     * @param password the user's password
     * @param domain the domain name
     * @param user the username
     * @param workstation the workstation name
     * @param flags the flags to use for the Type-3 message
     */