• Python PEP342


    Specification Summary

        1. Redefine "yield" to be an expression, rather than a statement.
           The current yield statement would become a yield expression
           whose value is thrown away.  A yield expression's value is
           None whenever the generator is resumed by a normal next() call.

    除了作为一个statement将一个函数变成一个generator以外,yield可以被视为是一个表达式,并用于赋值。

    比如

    >>> def whizbang():
            for i in range(10):
                x = yield i
                print 'got sent:', x
    
    
    >>> i = whizbang()
    >>> next(i)
    0
    >>> next(i)
    got sent: None
    1
    >>> i.send("hi")
    got sent: hi
    2
        2. Add a new send() method for generator-iterators, which resumes
           the generator and "sends" a value that becomes the result of the
           current yield-expression.  The send() method returns the next
           value yielded by the generator, or raises StopIteration if the
           generator exits without yielding another value.
    
    见1,一个yield expression如果不通过send传入一个值,那么其值就默认是None

    举例:
    给出各基数下的最小的素数(比如给出iterations = 3, base = 10,就相当于分别求出大于10^1,10^2,10^3的最小的素数)
     1 import math
     2 def is_prime(number):
     3     if number > 1:
     4         if number == 2:
     5             return True
     6         elif number % 2 == 0:
     7             return False
     8         for current in range(3, int(math.sqrt(number) + 1), 2):
     9             if number % current == 0:
    10                 return False
    11         return True
    12     return False
    13 
    14 def print_successive_primes(iterations, base=10):
    15     prime_generator = get_primes(base)
    16     prime_generator.send(None)
    17     for power in range(iterations):
    18         print(prime_generator.send(base ** power))
    19 
    20 
    21 def get_primes(number):
    22     while True:
    23         if is_prime(number):
    24             number = yield number
    25         number += 1

    可以看到我们在访问迭代器之前需要首先对迭代器get_primes的实例使用send,传入None,为什么呢?因为:

        Because generator-iterators begin execution at the top of the
        generator's function body, there is no yield expression to receive
        a value when the generator has just been created.  Therefore,
        calling send() with a non-None argument is prohibited when the
        generator iterator has just started, and a TypeError is raised if
        this occurs (presumably due to a logic error of some kind).  Thus,
        before you can communicate with a coroutine you must first call
        next() or send(None) to advance its execution to the first yield
        expression.
    send()会访问一个yield expression,而generator实例化之后并没有执行到yield expression,需要执行一个next()或者与其等价的send(None)来访问到yield expression


      

    其余见https://www.python.org/dev/peps/pep-0342/

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  • 原文地址:https://www.cnblogs.com/autoria/p/6666991.html
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