Matlab与Python中yield关键字的等效项是什么? [英] What is the Matlab equivalent of the yield keyword in Python?
问题描述
我需要一次生成多个结果,而不是一次生成所有结果.
I need to generate multiple results but one at a time, as opposed to everything at once in an array.
我如何在Matlab中使用像Python这样的语法生成器来做到这一点?
How do I do that in Matlab with a generator like syntax as in Python?
推荐答案
在执行使用yield
关键字的函数时,它们实际上返回一个生成器.生成器是迭代器的一种.尽管MATLAB都不提供语法,但是您可以自己实现迭代器接口" .这是类似于python中的xrange
函数的示例:
When executing functions that use the yield
keyword, they actually return a generator. Generators are a type of iterators. While MATLAB does not provide the syntax for either, you can implement the "iterator interface" yourself. Here is an example similar to xrange
function in python:
classdef rangeIterator < handle
properties (Access = private)
i
n
end
methods
function obj = rangeIterator(n)
obj.i = 0;
obj.n = n;
end
function val = next(obj)
if obj.i < obj.n
val = obj.i;
obj.i = obj.i + 1;
else
error('Iterator:StopIteration', 'Stop iteration')
end
end
function reset(obj)
obj.i = 0;
end
end
end
这是我们使用迭代器的方式:
Here is how we use the iterator:
r = rangeIterator(10);
try
% keep call next() method until it throws StopIteration
while true
x = r.next();
disp(x);
end
catch ME
% if it is not the "stop iteration" exception, rethrow it as an error
if ~strcmp(ME.identifier,'Iterator:StopIteration')
rethrow(ME);
end
end
请注意,当在Python中的迭代器上使用构造for .. in ..
时,它在内部会执行类似的操作.
Note the when using the construct for .. in ..
in Python on iterators, it internally does a similar thing.
通过使用persistent
变量或闭包来存储函数的局部状态,您可以使用常规函数而不是类编写类似的内容,并在每次调用时返回中间结果".
You could write something similar using regular functions instead of classes, by using either persistent
variables or a closure to store the local state of the function, and return "intermediate results" each time it is called.
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