tasks: - name: exec get config expect: command: "get config" responses: "--- more ---.": " " ".*>.": "break" register: result1
时间: 2024-02-07 07:03:34 浏览: 23
根据您提供的信息,这个 Ansible 任务似乎是使用 `expect` 模块来执行命令并等待特定的响应。如果您想在远程服务器上执行命令 `get config` 并获取输出结果,您可以尝试以下代码:
```
- name: execute get config command on remote host
hosts: myserver
tasks:
- name: get config
expect:
command: get config
responses:
"--- more ---.": " "
".*>.": "break"
register: result1
- debug:
var: result1.stdout
```
在这个例子中,我们使用 `expect` 模块来执行 `get config` 命令,并等待特定的响应。一旦收到 `--- more ---.` 或者 `.*>.` 响应,`expect` 模块就会停止等待并将输出结果保存在 `result1` 变量中。最后,我们使用 `debug` 模块来打印输出结果。
请注意,`expect` 模块需要在目标主机上安装 `expect` 工具。如果您的目标主机没有安装该工具,则需要先安装。另外,如果您的目标主机需要进行身份验证,则需要使用 `ansible_user` 和 `ansible_password` 变量来指定用户名和密码。
相关问题
tasks: - name: exec get config expect: command: "get config" responses: "--- more --- ": " " ".*> ": "break" register: result1
根据你提供的代码,我看到可能存在缩进问题。根据 YAML 的语法规则,缩进是非常重要的,因为它表示层次结构。
请检查你的代码缩进是否正确。每个任务应该以 `-` 开头,并且在 `tasks` 下应该有两个空格的缩进。`expect` 模块应该有四个空格的缩进,而 `command` 和 `responses` 应该有两个额外的空格缩进,如下所示:
```
tasks:
- name: exec get config
expect:
command: "get config"
responses:
"--- more --- ": " "
".*> ": "break"
register: result1
```
请注意,每个任务都必须以 `-` 开头,并且在 `tasks` 下必须有两个空格的缩进。此外,每个模块都必须正确缩进,并在 `key: value` 中使用冒号和空格进行分隔。
如果你的问题不是缩进问题,请提供更多的代码和错误消息以便我更好地帮助你。
X = data.iloc[:, :-1]
As an AI language model, I do not have access to the specific dataset that you are working with, so I can only provide a general explanation of this line of code.
The code "X = data.iloc[:, :-1]" is used to assign a subset of a dataset to a variable named "X".
The "data" variable is assumed to be a pandas DataFrame, which is a tabular data structure that can hold data of different types in columns.
The "iloc" method is used to select rows and columns of the DataFrame by their integer position.
The first parameter, ":", specifies that we want to select all rows of the DataFrame.
The second parameter, ":-1", specifies that we want to select all columns of the DataFrame except for the last one. The "-1" index indicates the last column, so ":-1" means "all columns up to but not including the last one".
Therefore, the "X" variable will contain all the rows of the DataFrame except for the last column. This is often done in machine learning tasks where the last column represents the target variable or output that we want to predict, and the remaining columns represent the input features.