Setting up a for loop for this could be relatively expensive, keeping in mind that a for loop in Python is fundamentally successive execution of simple assignment statements; you’ll be executing n (number of items in generator) assignments, only to discard the assignment targets afterwards. You can instead feed the generator to a zero length … Read more
You can use itertools.tee(): walk, walk2 = itertools.tee(walk) Note that this might “need significant extra storage”, as the documentation points out.
What Happened? When you use next(iter(instance_of_Class2)), iter() calls .close() on the inner generator when it (the iterator, not the generator!) goes out of scope (and is deleted), while with Class1, iter() only closes its instance >>> g = (i for i in range(3)) >>> b = Class2(g) >>> i = iter(b) # hold iterator open … Read more
The answer is in the PEP of the generator expressions, in particular the session Early Binding vs Late biding: After much discussion, it was decided that the first (outermost) for-expression should be evaluated immediately and that the remaining expressions be evaluated when the generator is executed. So basically the array in: x for x in … Read more
You cannot use return with a value to exit a generator in Python 2, or Python 3.0 – 3.2. You need to use yield plus a return without an expression: if response.error: self.error(“Error while retrieving the status”) self.finish() yield error return In the loop itself, use yield again: for line in response.body.split(“\n”): if line != … Read more
You can use Random.Next(int maxValue): Return: A 32-bit signed integer greater than or equal to zero, and less than maxValue; that is, the range of return values ordinarily includes zero but not maxValue. However, if maxValue equals zero, maxValue is returned. var r = new Random(); // print random integer >= 0 and < 100 … Read more
ZeroSprites is a CSS sprites generator aimed at area minimization using VLSI floorplaning algorithms. It can generate tighter sprites sheet than Sprite Generator and Spritemapper.
Mark’s answer is correct. Middleware executes those instructions. But this makes your life easier: in the test, you can provide whatever you want as the argument to next(), and the generator function will receive it as a result of yield. This is exactly what saga middleware does (except that it actually fires up a request … Read more
You’re probably looking for Generator Delegation (PEP380) For simple iterators, yield from iterable is essentially just a shortened form of for item in iterable: yield item def generator(iterable): for i in iterable: yield do_something(i) def generate_all(): yield from generator(get_the_list()) It’s pretty concise and also has a number of other advantages, such as being able to … Read more