Meaning
Applies a decorator to modify or extend the behavior of the greet function.
Primary Function
Wraps the greet function with additional behavior defined by my_decorator.
Communicative Purpose
Indicates that the greet function is being wrapped or enhanced by a decorator, signaling added behavior such as logging, caching, or access control.
Pattern
@<decorator_name> def <function_name>(<parameters>): <body>
Core Structure
@decorator <function_definition>
Função primária
Wraps the greet function with additional behavior defined by my_decorator.
Propósito comunicativo
Indicates that the greet function is being wrapped or enhanced by a decorator, signaling added behavior such as logging, caching, or access control.
Situações de gatilho
When you need to add cross‑cutting concerns (logging, timing, authentication, caching) to a function without modifying its core logic.
Contextos
Used in function or method definitions in Python when applying built‑in or user‑defined decorators.
Padrão
@<decorator_name> def <function_name>(<parameters>): <body>
Estrutura central
@decorator <function_definition>
Slots de substituição
{"decorator_name": "name of the decorator (e.g., my_decorator, staticmethod)\
Colocados típicos
- @staticmethod
- @classmethod
- @property
- @property.setter
- @lru_cache
- @abstractmethod
Substituições comuns
- different decorator names
- different function signatures
- decorators with arguments (@decorator(arg))
- stacked decorators
Erros comuns
forgetting to return the wrapper, omitting functools.wraps (losing @my_decorator def greet(): return 'Hello'name@my_decorator def greet(): return 'Hello' and docstring), using a decorator without parentheses when it expects arguments, applying a decorator to an inappropriate object type
Similar / contraste
vs. monkey‑patching (runtime modification), vs. inheritance (subclassing to alter behavior), vs. composition (wrapping via composition)
Interferências
may be confused with Java annotations or C# attributes, which have different semantics; decorators are callables that wrap functions
Família do chunk
- Python decorators
Nuance
A decorator can add behavior before, after, or around the original call, or replace the function entirely; when using functools.wraps the original function’s metadata is preserved, making the decoration transparent to callers.
Efeito pragmático
Signals that the function’s behavior is being modified or extended, communicating a design decision to add cross‑cutting concerns.
Dica de memória
@decorator syntax
Nota
Remember to use functools.wraps inside custom decorators to preserve the original function’s @my_decorator def greet(): return 'Hello'name@my_decorator def greet(): return 'Hello', @my_decorator def greet(): return 'Hello'doc@my_decorator def greet(): return 'Hello', and other attributes.
Upgrade path
Learn to write custom decorators with functools.wraps, explore built‑in decorators (@property, @staticmethod), and experiment with decorator factories that accept arguments.
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