The right answer has already identified the "lazy" method, but the example provided was not too useful. I will give a better example of when it is appropriate to use lazy with arrays. As stated, lazy is defined as an instance method of the module Enumerable, and it works on EITHER objects that implement Enumerable module (e.g. arrays - [].lazy
) or enumerators which are the return value of iterators in the enumerable module (e.g. each_slice - [].each_slice(2).lazy
). Note that in Enumerable module, some of the instance methods return more primitive values like true or false, some return collections like arrays and some return enumerators. Some return enumerators if a block is not given.
But for our example, the IO class also has an iterator each_line, which returns an enumerator and thus can be used with "lazy". The beautiful thing about returning an enumerator is that it does not actually load the collection (e.g. large array) in memory that it is working on. Rather, it has a pointer to the collection and then stories the algorithm (e.g. each_slice(2)
) that it will use on that collection, when you want to process the collection with something like to_a
, for example.
So if you are working with an enumerator for a huge performance boost, now you can attach lazy to the enumerator. So instead of iterating through an entire collection to match this condition:
file.each_line.select { |line| line.size == 5 }.first(5)
You can invoke lazy:
file.each_line.lazy.select { |line| line.size == 5 }.first(5)
If we're scanning a large text file for the first 5 matches, then once we find the 5 matches, there is no need to proceed the execution. Hence, the power of lazy with any type of enumerable object.