星环数据库的TORC表

星环数据库的TORC表是指存储了星环数据库的所有表和视图的元数据信息的系统表。TORC表是一个包含多个子表的表，每个子表都存储了不同类型的元数据信息。

具体来说，TORC表包含了以下子表：

1. objects：存储了所有表和视图的基本信息，如名称、类型、创建时间等。

2. columns：存储了所有表和视图的列信息，包括列名称、数据类型、长度等。

3. indexes：存储了所有表的索引信息，包括索引名称、所在表、索引列等。

4. constraints：存储了所有表的约束信息，包括主键、唯一键、外键等。

5. triggers：存储了所有表的触发器信息，包括触发器名称、所在表、触发事件等。

通过TORC表，用户可以查询星环数据库中的所有表和视图的元数据信息，以便更好地管理和维护数据库。

相关问题

torch 1.13.0对应的torc

我认为您可能是想问 "torch 1.13.0 对应的 torchvision 版本是什么？" 如果是这样，那么答案是：torch 1.13.0 与 torchvision 版本之间没有对应关系，因为 torchvision 版本号是基于发布日期而非 torch 版本号进行命名的。不过可以查看 torchvision 的发布历史，找到与 torch 1.13.0 兼容的最新版本。

Could not find a version that satisfies the requirement torc

It seems that you are encountering an error while trying to install the "torc" package. This error message typically means that the version of the package you are trying to install is not available or compatible with your current Python environment.

To resolve this issue, you can try the following steps:

1. Make sure that you have the latest version of pip installed by running the following command: `pip install --upgrade pip`.

2. Check if the package name is spelled correctly. It's possible that you may have misspelled the package name.

3. Try installing a different version of the package. You can do this by specifying the version number after the package name, like this: `pip install torc==<version_number>`.

4. Check if there are any compatibility issues between the package and your current Python environment. You can do this by checking the package documentation or by searching online for any known issues.

5. If none of these steps work, you can try creating a new virtual environment and installing the package there. This will ensure that there are no conflicts with other packages or dependencies.

I hope this helps! Let me know if you have any further questions.