


Why Does Pygame's `pygame.event.get()` Miss Events, and How Can I Optimize It?
Optimizing Pygame's Event Loop: Why Events Are Missed and Delays Occur
Pygame's event loop, particularly through the pygame.event.get() method, is crucial for handling user input and maintaining responsiveness. However, it can become a source of performance issues if not implemented efficiently.
Problem Description:
In a game resembling Asteroids, multiple event loops are employed, including one for exit requests and game start (via the spacebar). However, the check_input function (executed each loop) encounters a performance bottleneck due to the following code:
1 2 3 4 |
|
Cause:
The issue stems from calling pygame.event.get() multiple times within the same loop. When this function is invoked, it retrieves all queued events and removes them. As a result, subsequent calls to event.get() will return empty lists, leading to missed events and the appearance of delays.
Solution:
To resolve this, events should be retrieved only once per frame and passed to events loops or handled in separate functions. This approach ensures that all events are processed without duplication or omission.
Here's an optimized version of the code:
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 |
|
By consolidating event retrieval into a single call per frame, the game's performance can be significantly improved. All events will be captured and processed efficiently, eliminating missed events and delays.
The above is the detailed content of Why Does Pygame's `pygame.event.get()` Miss Events, and How Can I Optimize It?. For more information, please follow other related articles on the PHP Chinese website!

Hot AI Tools

Undresser.AI Undress
AI-powered app for creating realistic nude photos

AI Clothes Remover
Online AI tool for removing clothes from photos.

Undress AI Tool
Undress images for free

Clothoff.io
AI clothes remover

Video Face Swap
Swap faces in any video effortlessly with our completely free AI face swap tool!

Hot Article

Hot Tools

Notepad++7.3.1
Easy-to-use and free code editor

SublimeText3 Chinese version
Chinese version, very easy to use

Zend Studio 13.0.1
Powerful PHP integrated development environment

Dreamweaver CS6
Visual web development tools

SublimeText3 Mac version
God-level code editing software (SublimeText3)

Hot Topics











Python is suitable for data science, web development and automation tasks, while C is suitable for system programming, game development and embedded systems. Python is known for its simplicity and powerful ecosystem, while C is known for its high performance and underlying control capabilities.

Python excels in gaming and GUI development. 1) Game development uses Pygame, providing drawing, audio and other functions, which are suitable for creating 2D games. 2) GUI development can choose Tkinter or PyQt. Tkinter is simple and easy to use, PyQt has rich functions and is suitable for professional development.

Python is easier to learn and use, while C is more powerful but complex. 1. Python syntax is concise and suitable for beginners. Dynamic typing and automatic memory management make it easy to use, but may cause runtime errors. 2.C provides low-level control and advanced features, suitable for high-performance applications, but has a high learning threshold and requires manual memory and type safety management.

To maximize the efficiency of learning Python in a limited time, you can use Python's datetime, time, and schedule modules. 1. The datetime module is used to record and plan learning time. 2. The time module helps to set study and rest time. 3. The schedule module automatically arranges weekly learning tasks.

Python is better than C in development efficiency, but C is higher in execution performance. 1. Python's concise syntax and rich libraries improve development efficiency. 2.C's compilation-type characteristics and hardware control improve execution performance. When making a choice, you need to weigh the development speed and execution efficiency based on project needs.

Python excels in automation, scripting, and task management. 1) Automation: File backup is realized through standard libraries such as os and shutil. 2) Script writing: Use the psutil library to monitor system resources. 3) Task management: Use the schedule library to schedule tasks. Python's ease of use and rich library support makes it the preferred tool in these areas.

Pythonlistsarepartofthestandardlibrary,whilearraysarenot.Listsarebuilt-in,versatile,andusedforstoringcollections,whereasarraysareprovidedbythearraymoduleandlesscommonlyusedduetolimitedfunctionality.

Is it enough to learn Python for two hours a day? It depends on your goals and learning methods. 1) Develop a clear learning plan, 2) Select appropriate learning resources and methods, 3) Practice and review and consolidate hands-on practice and review and consolidate, and you can gradually master the basic knowledge and advanced functions of Python during this period.
