Consider these expressions... Please be patient... this is a LONG list... (Note: some expressions are repeated -- this is just to present a "context") a, b = 1, 2 # simple sequence assignment a, b = ['green', 'blue'] # list asqignment a, b = 'XY' # string assignment a, b = range(1,5,2) # any iterable will
考虑这些表达式...请耐心等待...这是一个很长的名单... （注意：一些表达式重复 - 这只是为了展示一个“上下文”） a, b = 1, 2 # simple sequence assignment a, b = ['green', 'blue'] # list asqignment a, b = 'XY' # string assignment a, b = range(1,5,2) # any iterable will do # nested sequ
This question already has an answer here: What does the “yield” keyword do? 36 answers Because your yield is nested in your for loop, all your values will be added to the generator expression. Generators are basically equivalent to iterators except, iterators retain the values unless deleted whereas generators generate the values once on the fly. The next method of the generator is implici
这个问题在这里已经有了答案： “yield”关键字有什么作用？ 36个答案 因为你的yield是嵌套在for循环中的，所以你所有的值都会被添加到生成器表达式中。 生成器基本上等价于迭代器，除非迭代器保留值，除非被删除，而生成器则在运行中一次生成值。 发生器的下一个方法在使用for循环而不是生成器时被隐式调用。 另外，您必须记住return关键字返回一个值，并且只返回值，就像yield一样。 该函数返回一个生成器对象，其中的
This question already has an answer here: What does the “yield” keyword do? 36 answers This is a misconception about yield . Python uses what could be called lazy evaluation. Instead of computing all "yields" in advance, it gets to the first one and stops, and then merely returns an iterator. If you were to call F(10) from the console, you would see an iterator object. When yo
这个问题在这里已经有了答案： “yield”关键字有什么作用？ 36个答案 这是对yield的误解。 Python使用什么可以称为懒惰评估。 不是预先计算所有“收益率”，而是先到达第一个“收益率”并停止，然后仅返回一个迭代器。 如果您要从控制台调用F(10) ，您将看到一个迭代器对象。 当你开始迭代列表时，例如通过在[x for x in F(10)]写[x for x in F(10)] ，那么Python会一遍又一遍地执
This question already has an answer here: What does the “yield” keyword do? 36 answers In your code fibon is a generator function. And when you call it returns generator object. You could remove yield from function def fibon(n): a = b = 1 for i in range(n): a, b = b, a + b print(a) # move here inside function but doesnt print? fibon(20) or construct list from ge
这个问题在这里已经有了答案： “yield”关键字有什么作用？ 36个答案 在你的代码中， fibon是一个生成器函数。 当你调用它返回生成器对象。 你可以从函数中删除yield def fibon(n): a = b = 1 for i in range(n): a, b = b, a + b print(a) # move here inside function but doesnt print? fibon(20) 或从生成器对象构造列表 def fibon(n): a = b = 1 for i in range(n): yie
This question already has an answer here: What does the “yield” keyword do? 36 answers The call print(next(fib(6))) always creates a new instance of the fib generator and yields one value from it, you then discard it. On the other hand: f = fib(6) print(next(f)) print(next(f)) print(next(f)) creates an instance f of the generator fib and yields three values from it. Also, using max as
这个问题在这里已经有了答案： “yield”关键字有什么作用？ 36个答案 call print(next(fib(6)))总是创建一个新的fib发生器实例，并从中产生一个值，然后丢弃它。 另一方面： f = fib(6) print(next(f)) print(next(f)) print(next(f)) 创建发生器fib的实例f并从中产生三个值。 此外，使用max作为参数名称是因为至少在本地范围内屏蔽了具有相同名称的内置函数。
This question already has an answer here: What does the “yield” keyword do? 36 answers Functionally, they're the same. The main difference is that, in the second case, it's really easy to have several different "do something" blocks without repeating the SQL statement. In the first case, the "do something" is hard-coded.
这个问题在这里已经有了答案： “yield”关键字有什么作用？ 36个答案 功能上，它们是相同的。 主要区别在于，在第二种情况下，在不重复SQL语句的情况下拥有几个不同的“执行某些”块非常简单。 在第一种情况下，“做某事”是硬编码的。
This question already has an answer here: What does the “yield” keyword do? 36 answers You're yielding alpha three times because you have 3 yield statements in your loop. Thus: Loop will iterate over your 3 elements For each element you will yield 3 times 3 times 3 equals 9. Your output explained: 1 <-- counter ('alpha', 'one') <-- first yi
这个问题在这里已经有了答案： “yield”关键字有什么作用？ 36个答案 由于在循环中有3个收益声明，因此您将产生三次alpha 。 从而： 循环将遍历你的3个元素 对于每个元素你会产生3次 3次3等于9。 你的输出解释了： 1 <-- counter ('alpha', 'one') <-- first yield statement 2 <-- counter ('alpha', 'two') <-- second yield statem
This question already has an answer here: What does the “yield” keyword do? 36 answers yield returns the control to the caller scope (function or method), as would return - but instead of destroying the current scope, with the local variables and its values, it is kept. When the "next" method of the iterator is called again (which the for statement does implicitly), the scope whe
这个问题在这里已经有了答案： “yield”关键字有什么作用？ 36个答案 yield将控制权返回给调用者作用域（函数或方法），就像返回一样 - 但不是销毁当前作用域，而是使用局部变量及其值保存。 当再次调用迭代器的“下一个”方法（ for语句会隐式执行）时，会检索执行产出的范围，并从该点继续执行，并使用相同的变量。 实际上，yield表现为表达式，如果不是调用next方法，而是外部函数调用send ，则传递给send的值是yield表
This question already has an answer here: What does the “yield” keyword do? 36 answers By putting a yield statement in the join method, you're making it a generator. Calling a generator method just creates a generator function; you need to iterate through it to get data. However, since execution inside a generator stops every time it hits a yield statement, you need to exhaust all of
这个问题在这里已经有了答案： “yield”关键字有什么作用？ 36个答案 通过在join方法中放入一个yield语句，可以使它成为一个生成器。 调用生成器方法只是创建一个生成器函数; 你需要遍历它来获取数据。 但是，由于发生器内部的执行每次遇到yield语句都会停止，因此如果要使其完全运行，则需要耗尽其中的所有内容。 通过这种方式，您的代码可以一直运行： join_gen = bot.join(channels) for error_msg in join_gen:
This question already has an answer here: What does the “yield” keyword do? 36 answers for loop generates disposable variable if you use it like above. For example, a list object is used again and again in a loop but a disposable iterator is deleted automatically after use. And yield is a term like return which is used in functions. It gives a result and use it again in loop. Your codes
这个问题在这里已经有了答案： “yield”关键字有什么作用？ 36个答案 for loop生成一次性变量，如果您像上面一样使用它。 例如，一个list object在循环中一次又一次地被使用，但是一次性迭代器在使用后被自动删除。 yield是一个像return这样的用于函数的术语。 它会给出结果并在循环中再次使用它。 你的代码给你称为斐波纳契数字。 def fib(): a, b = 0,1 #initially a=0 and b=1 while True: #infinite loop t