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In Python, a generator can be thought of as an iterator that contains a frozen stack frame. Whenever next() is called on the iterator, Python resumes the frozen frame, which executes normally until the next yield statement is reached. The generator's frame is then frozen again, and the yielded value is returned to the caller.
There are subtle differences and distinctions in the use of the terms "generator" and "iterator", which vary between authors and languages. [5] In Python, a generator is an iterator constructor: a function that returns an iterator. An example of a Python generator returning an iterator for the Fibonacci numbers using Python's yield statement ...
In Python 3.x the range() function [28] returns a generator which computes elements of the list on demand. Elements are only generated when they are needed (e.g., when print(r[3]) is evaluated in the following example), so this is an example of lazy or deferred evaluation:
Python is a high-level, general-purpose programming language. Its design philosophy emphasizes code readability with the use of significant indentation. [33] Python is dynamically type-checked and garbage-collected. It supports multiple programming paradigms, including structured (particularly procedural), object-oriented and functional ...
Python. The use of the triple-quotes to comment-out lines of source, does not actually form a comment. [19] The enclosed text becomes a string literal, which Python usually ignores (except when it is the first statement in the body of a module, class or function; see docstring). Elixir
In Design Patterns, an aggregate is not a design pattern but rather refers to an object such as a list, vector, or generator which provides an interface for creating iterators. The following example code is in Python .
A further option invokes with-hash-table-iterator, an iterator-creating macro, the processing of which is intended to be driven by the caller. ( with-hash-table-iterator ( entry-generator phone-book ) ( loop do ( multiple-value-bind ( has-entry key value ) ( entry-generator ) ( if has-entry ( format T "~&~s => ~s" key value ) ( loop-finish )))))
"A generator is a special kind of iterator in which the container object is not fully realized. This allows abstract or even infinite collections to be processed one element at a time." This is a vacuous truth. Just like conventional iterators, generators support both finite container traversal and lazy/infinite sequence realization equally.