chatbot generator

I. List Production [ i*2 for i in range(10) ]Ii. Generator) The difference between a generator and a list is that the generator data is generated during the call and cannot be sliced like a list. Data is generated only when called. Only record the current location Only one"Next"Method1. Generator 1 >>> ( i*2 for

Here are a few points of knowledge: iterators, generators, YieidLet's look at the difference between iterators and generators with an example.#L是个list, you can iterate for a loop, l take it out and store it in memory, and then loop it out many times.>>> l=[x*x for x in range (3)]>>> for I in L:print (i) 014>>> for n in L:print (n) 014#把 [] becomes a generator, except that it can only be recycled once, because it is not in memory. It is generating data

-----> Conventions:function, only one positional parameter is represented by argvdef func (argv):Pass1. Generator: Custom iteratorsThere are two forms of generators:A. Generator functionsB. Generator expressionA.def func1 (x): x + = 1 print (111111) yield x #有yield的叫生成器函数 print (222222) yield ' alex ' s = func1 (5) # Called the

One, what is the generatorCan be understood as a data type that automatically implements the iterator protocol (other data types need to call their own built-in __iter__ method), so the generator is an iterative object.Second, the representation of the generator classification in Python1, Generator function: The general function definition, however, returns the r

)#2item = L_iter.__next__()Print(item)#3item = L_iter.__next__()Print(item)#4item = L_iter.__next__()Print(item)#exceeding limit, errorThe last step in the final error situation, in order to make the program does not give an error, you can end it after the end of the finished:L = [1,2,3,4= L.__iter__() while True: try: = L_iter. __next__ () print(item) except stopiteration: BreakGeneratorGenerator:(essentially an iterator, just written by the programmer called the

Discuss the use of Generator and Iterator in JavaScript, and generatoriterator When it comes to Generator, we will talk about topics such as Asynchronization. This is obviously broken by some strange things. Iterator should be closely related to Generator. Using Generator to process Asynchronization may be something C

2.0Look again at this example:1 defCalc (n):2 Print(n)3 ifN/2 > 1:4res = Calc (n/2)5 Print('Res:', Res)6 Print("N:", N)7 returnN8Calc (8)The result is:1 82 4.03 2.04 n:2.05 res:2.06 n:4.07 res:4.08 N:8Second, generatorThe generator is a function with a yield statement. A function or subroutine is returned only once, but a generator can pause execution and return an intermediate resu

PHP basic Generator-Generator object when a Generator function is called for the first time, an internal Generator class object is returned. this object implements the Iterator interface in almost the same way as the foreground Iterator object. Most methods in the Generator

using MyBatis To configure mapping file comparisons is cumbersome, but there are auto-generated jar tools that facilitate faster development, mainly the use of the tool and the associated configuration. 1. Download Related ResourcesWe need to download Mybatis-generator-core-1.3.2.jar,mysql-connector-java-5.1.34.jar (driver package corresponding to the relevant database), Generator.xml (config file)My network disk all Related: HTTP://PAN.BAIDU.COM/S/1N

Def gen_func (): Try: yield 1 failed t exception as E: pass yield 2 yield 3 yield 4 yield 5 return "Bobby" If _ name _ = "_ main _": Gen = gen_func () print (next (Gen) A = Gen. throw (exception, "Download error ")Print (a) #2 print (next (Gen) # note that 3 is not 2. Throw has two functions: first, throwing an exception to the generator, and then if the generator can handle the exception, the throw method