<code> public function __construct($config) { parent::__construct(); $this['config'] = function () use ($config) { return new Config($config); }; ... 其中 $this['config'] = function () use ($config) { return new Config($config); 能不能直接写成这样: $this['config'] = new Config($config); 有什么优势?</code>
<code> public function __construct($config) { parent::__construct(); $this['config'] = function () use ($config) { return new Config($config); }; ... 其中 $this['config'] = function () use ($config) { return new Config($config); 能不能直接写成这样: $this['config'] = new Config($config); 有什么优势?</code>
Lazy loading. Both ways of writing are fine, however. $this['config'] = new Config($config);
In this way, when you assign a value to $this->['config']
, new Config($ config)
operation.
<code class="php">$this['config'] = function () use ($config) { return new Config($config); }</code>
In this way, you just give $this->['config']
an anonymous function, and when you want to use it, you will perform the new Config($config)
operation.
I don’t know if my explanation is correct= =It’s not very expressive= =
<code>能不能直接写成这样: $this['config'] = new Config($config); 有什么优势?</code>
It can be written like this, but it will go to the new Config class every time it is instantiated, and it does not matter whether it is used or not;
<code>$this['config'] = function () use ($config) { return new Config($config); }</code>
This way of writing is to declare an anonymous function for $this['config']. When $this['config'] is actually called, the new Config class will be accessed;
The advantage of writing like this is that when $this['config'] is not actually used, it reduces the additional instantiation process and memory consumption
closure will create a new Config when it is actually called, so that lazy load can be achieved.
In addition to the above lazy loading
, another advantage is that it implements a factory mode
-- every time you get the config, it will be new
1. Lazy loading
Everyone has mentioned it
2. In fact, anonymous functions are largely a manifestation of functional programming