Which one ot the below mentioned commands is used to know more detailed information about server! stat B srvr mntr OD Other
时间: 2024-03-08 10:49:01 浏览: 110
The command used to know more detailed information about the server is "stat". You can use the following command to get detailed information about the server:
```
stat
```
This command will display various statistics about the server, including uptime, memory usage, CPU usage, network statistics, and much more. You can also use the "srvr" command to get information about individual servers, and the "mntr" command to get information about specific metrics. The "OD" command is not a valid command for getting server information.
相关问题
执行报错curl: (60) SSL certificate problem: unable to get local issuer certificate More details here: https://curl.haxx.se/docs/sslcerts.html curl failed to verify the legitimacy of the server and therefore could not establish a secure connection to it. To learn more about this situation and how to fix it, please visit the web page mentioned above.
这个错误提示表明 SSL 证书验证失败,可能是因为缺少根证书或证书不受信任。为了解决这个问题,你可以尝试以下方法:
1. 通过 `curl -k` 或 `--insecure` 选项忽略 SSL 证书验证,不过这种方式并不安全,只能在测试环境下使用。
2. 下载缺失的根证书并将其添加到受信任的根证书列表中,具体步骤如下:
- 打开报错信息中提到的链接:https://curl.haxx.se/docs/sslcerts.html
- 找到并下载根证书:https://curl.haxx.se/ca/cacert.pem
- 将下载的根证书添加到 OpenSSL 的受信任根证书列表中:
```
sudo mkdir -p /usr/local/share/ca-certificates
sudo cp /path/to/cacert.pem /usr/local/share/ca-certificates/
sudo update-ca-certificates
```
注意将 `/path/to/cacert.pem` 替换为你下载的根证书的实际路径。
3. 如果你正在使用的是自签名证书,可以将其添加到受信任证书列表中或使用自签名证书。具体步骤请参考相关文档。
无论使用哪种方法,都需要谨慎操作,以确保安全性。
再pycharm安装sklearn时出现Looking in indexes: https://pypi.tuna.tsinghua.edu.cn/simple Collecting sklearn Downloading https://pypi.tuna.tsinghua.edu.cn/packages/7a/93/e0e1b1e98f39dfca7ec9795cb46f6e09e88a2fd5d4a28e4b3d1f618a2aec/sklearn-0.0.post5.tar.gz (3.7 kB) Preparing metadata (setup.py): started Preparing metadata (setup.py): finished with status 'error' error: subprocess-exited-with-error python setup.py egg_info did not run successfully. exit code: 1 [18 lines of output] The 'sklearn' PyPI package is deprecated, use 'scikit-learn' rather than 'sklearn' for pip commands. Here is how to fix this error in the main use cases: - use 'pip install scikit-learn' rather than 'pip install sklearn' - replace 'sklearn' by 'scikit-learn' in your pip requirements files (requirements.txt, setup.py, setup.cfg, Pipfile, etc ...) - if the 'sklearn' package is used by one of your dependencies, it would be great if you take some time to track which package uses 'sklearn' instead of 'scikit-learn' and report it to their issue tracker - as a last resort, set the environment variable SKLEARN_ALLOW_DEPRECATED_SKLEARN_PACKAGE_INSTALL=True to avoid this error More information is available at https://github.com/scikit-learn/sklearn-pypi-package If the previous advice does not cover your use case, feel free to report it at https://github.com/scikit-learn/sklearn-pypi-package/issues/new [end of output] note: This error originates from a subprocess, and is likely not a problem with pip. error: metadata-generation-failed Encountered error while generating package metadata. See above for output. note: This is an issue with the package mentioned above, not pip. hint: See above for details.是什么问题?该怎样解决?如何安装sklearn库?
这个错误是由于sklearn库已经被弃用,现在使用的是scikit-learn库,因此可以尝试使用以下命令安装scikit-learn库:
```
pip install -U scikit-learn
```
如果你仍然想安装旧版本的sklearn库,可以设置一个环境变量,以允许安装旧版本的sklearn:
```
SKLEARN_ALLOW_DEPRECATED_SKLEARN_PACKAGE_INSTALL=True
```
你可以在命令行中设置该环境变量,或者将其添加到你的操作系统环境变量中。
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