Prerequisites: If the function contains yield is the generator, the execution process encountered yield to jump out.Example:Def gen ():For I in range (10):x = Yield IPrint (x)G=ge ()Print (G.send (None)))Print (G.send (2))First say expression x = yield IIf this expression is only x = i, I believe everyone can understand. The value of I is assigned to X, and now the right side of the equals sign is a yield I, so I have to execute yield I first and then
The Automatic Generator method is used in ionic2. The ionic2 generator method
Ionic generator is a command line function. ionic2 automatically helps us create applications, saving a lot of time and increasing our speed to develop a key part of a project.
Ionic generator allows us to automatically create the following p
List-generateda small topic: add 1 to the values in the list [0,1,2,3].Method 1:a=[0,1,2,3]b=[]for i in range(len(a)): b.append(i+1)a=bprint(a)Method 2:a = [1,3,4,6,7,7,8]for index,i in enumerate(a): a[index] +=1print(a)Method 3:a=[0,1,2,3,4]a=map(lambda x:x+1,a)print(a)for i in a: print(i)Method 4: (List-generated)a=[i+1 for i in range(10)]print(a)Did you see anything? Yes, the same functionality, the implementation of the code is becoming more and more streamlined.Get to the point: ge
New feature 3 of ES6: Generator (Generator) function details, es6 function details
This example describes the new feature 3 of ES6: Generator (Generator) function. We will share this with you for your reference. The details are as follows:
1. Introduction
① Understanding: it can be understood as a function's internal s
Write the code generator by yourself (1). Write the Code Generator
I thought of a code generator of my own for a long time. It was simple and enough for my own use, so I had no time. I was idle recently, so I made up my mind to write a small software to complete these tasks for me. I wanted to use WPF for development. However, WPF only learned basic things, and I
Use the generator to rewrite the function method that directly returns the list. The generator returns the list.
This article is a learning note in the article "objective Python", recording the sample code and ideas.
If a function produces a series of results, the simplest way is to put these results in a list and return them.
For example, we want to locate the position of the first letter of each word in t
Format comparison:List imprehensions Format: [Statement for ...]Generator format: (Statement for.. In.. )The difference: The list stores the specific content, each element occupies space, when the need to store n data, occupy a large spaceThe generator store is an expression that calculates the next element by calculation and therefore occupies less space.One, 2 kinds of input methods#!/usr/bin/python#Gener
Python3 generator and python3 Generator
1 ''' 2 list generation type 3''' 4 5 # a1 = [x for x in range (10)] 6 # a2 = [x * 2 for x in range (10)] 7 # print (a1) 8 # print (a2) 9 #10 # def fun1 (x ): 11 # return x ** 3 12 # a3 = [fun1 (x) for x in range (10)] 13 # print (a3) 14 #15 # list generation type 16 # Value Method 17 # B = ['asd ', 8, 9, 10] 18 # w, x, y, z = B 19 # print (w, x, y, z) 20 # print (B)
Generator:(in Python, this side loop computes the mechanism, called the generator: Generator)ways to create generator:1. Turn the list generation [] into () and create a generatorExample:The next return value can be obtained by next () generatortraversing words can be used directly:For I in G:print (i)2. Change print (
Python3 iterator and generator, python3 Generator
Pythom3 iterator and GeneratorIterator'''The iterator is one of the most powerful functions of python and a way to access collection elements.The iterator is a location object that can remember to traverseThe iterator object is accessed from the first element of the set until all elements are accessed. The iterator can only move forward without moving back.T
Python generator, iteratable object, iterator difference and connection, python Generator
What is the relationship between generators, iteratable objects, and iterators?
Use a picture to summarize:
1. Generator
Definition Generator
Method 1:
// Unlike the list generator gen
First, generator definitionBy generating an expression from a list, we can create a list directly. However, with memory limitations, the list capacity is certainly limited. So, if the list element can be calculated according to an algorithm, can we continue to calculate the subsequent elements in the process of the loop? This eliminates the need to create a complete list, which saves a lot of space. In Python, this side loop computes the mechanism, ca
Python iterator, generator and decorator, and python generator Decoration
1. Principles and usage of the iterator:1> principle:An iterator is a way to access a set element. The iterator object is accessed from the first element of the set until all elements are accessed. The iterator can only move forward and not backward, but that's nothing. People seldom step back on the iteration process. In addition, th
Self-compiled DAL three-tier code generator and dal three-tier Code Generator
(1) Create your own solution directory structure as follows:
(2) Compile the Code:
(To use a database, we recommend that you create any database)
The code for creating the configuration file App. config is as follows:
The MainWindow. xaml code is as follows: (change the code in the Grid in MainWindow. xaml)
The MainWindow. xa
Python list derivation and generator expression usage example, python Generator
This article describes the Python list derivation and generator expression usage. We will share this with you for your reference. The details are as follows:
Like the list,List DerivationIt is also represented by square brackets [] and uses a abbreviated for loop. The first part is an
GeneratorGenerator function: The function body contains the yield keyword, the result of which the function executes is the generator, which is essentially an iterator.deffoo ():Print('First ------>') yield1Print('Second----->') yield2Print('Third----->') yield3Print('fouth----->') G=foo () fromCollectionsImportIteratorPrint(Isinstance (g,iterator))Print(g)Yield Features:1. Similar to return, can return a value, but the difference is that the
Additional example of listening file enddeftail (): F= Open ('file','R', encoding='Utf-8') F.seek (0,2) whileTrue:line=F.readline ()ifLine :yield LineImportTime Time.sleep (0.1) G=tail () forIinchg:Print(I.strip ())Send methodSend method:deffunc ():Print('*'*10) A=yield5Print(a)yield10g=func ()Print(g.__next__())Print(G.send ('Wenwen'))#print (g.__next__ ())From which yield begins to execute, send passes a value to the yieldSend cannot be used in the first touch generatorThe number of yield
Four arithmetic question generator (C ++) and four arithmetic question Generator
Question: Four arithmetic question generator.
Idea: Use the rand () % 100 function to generate a random positive integer of less than 100. Likewise, use the random function rand () % 4 to generate random 0, 1, 2 and 3 are random integers corresponding to the four conditions of additi
Simple PHP generator instance, php Generator
Generally, when you iterate a set of data, you need to create a data. If the array is large, it will consume a lot of performance, and even cause insufficient memory.Copy codeThe Code is as follows:// Fatal error: Allowed memory size of 134217728 bytes exhausted (tried to allocate 32 bytes) in E: \ php \ test \ index. php on line 5Range (1, 100000000 );
PHP5.5
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