waitForever: Throttling EGL Production: fence 89 didn't signal in 3000 ms
时间: 2024-05-25 09:15:49 浏览: 14
As an AI language model, I cannot provide a specific solution without additional context. However, this error message typically indicates that a process is waiting for a signal from a fence object, but the signal has not been received within the expected timeframe. This can be caused by a variety of factors, including hardware or software issues, resource constraints, or other system-level problems. To troubleshoot this issue, you may need to review system logs, check for resource saturation, or investigate any recent changes to the system configuration.
相关问题
throttling
throttling是指限制或调整某个系统或设备的操作速度或处理能力。它可以用于限制网络带宽、CPU使用率、数据库连接数等方面。
在网络领域中,throttling通常用于限制用户对特定服务或网站的访问速度。它可以防止某个用户或网络程序过度占用带宽资源,使其他用户无法正常访问。例如,某个视频分享网站可能会对每个用户的视频上传速度进行限制,以确保每个用户都能够公平地分享视频。
在软件开发中,throttling可以用于控制应用程序的速度和效率。例如,当一个应用程序需要大量的计算资源时,可以使用throttling来限制其CPU使用率,以避免过度占用系统资源,导致其他应用程序运行变慢或崩溃。
在工业控制中,throttling也可以用于调整流体或气体的流动速度。通过调节阀门或孔口的开启程度,可以限制流体或气体的流速,以满足特定的工艺需求或控制系统的要求。
总之,throttling是一种限制或调整系统或设备操作速度的方法,可以应用于多个领域,包括网络、软件开发和工业控制等。它可以帮助平衡资源分配,提高系统的稳定性和效率。
python爬虫报错urllib.error.HTTPError: HTTP Error 420:
HTTP Error 420 means that the request has been refused due to too many requests or the rate limit has been exceeded. This error is commonly seen when web scraping or crawling websites without proper throttling or delay between requests.
To fix this error, you can try the following:
1. Add a delay between requests: You can add a delay of a few seconds between requests to avoid making too many requests in a short period of time.
2. Use a proxy: You can use a proxy server to make your requests appear as if they are coming from a different IP address, which can help you bypass rate limits.
3. Contact the website owner: If you are getting this error repeatedly, you can try contacting the website owner to see if they can increase the rate limit for your account.
4. Reduce the number of requests: If none of the above solutions work, you can try reducing the number of requests you make to the website. This may mean limiting the number of pages you scrape or only scraping the website at certain times of day.
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