# numc环境配置 ## numc环境配置 ## 基本环境 version: su20 os: macOS 14.0 23A344 arm64 → Ubuntu 20.04.6 LTS x86\_64 (github codespace) ```bash (.venv) @scatyf3 ➜ /workspaces/numc/Python-3.6.15 (master) $ neofetch .-/+oossssoo+/-. codespace@codespaces-51e639 `:+ssssssssssssssssss+:` --------------------------- -+ssssssssssssssssssyyssss+- OS: Ubuntu 20.04.6 LTS x86_64 .ossssssssssssssssssdMMMNysssso. Host: Virtual Machine 7.0 /ssssssssssshdmmNNmmyNMMMMhssssss/ Kernel: 6.2.0-1016-azure +ssssssssshmydMMMMMMMNddddyssssssss+ Uptime: 4 hours, 2 mins /sssssssshNMMMyhhyyyyhmNMMMNhssssssss/ Packages: 659 (dpkg) .ssssssssdMMMNhsssssssssshNMMMdssssssss. Shell: bash 5.0.17 +sssshhhyNMMNyssssssssssssyNMMMysssssss+ Terminal: vscode ossyNMMMNyMMhsssssssssssssshmmmhssssssso CPU: AMD EPYC 7763 (2) @ 3.243GHz ossyNMMMNyMMhsssssssssssssshmmmhssssssso Memory: 2286MiB / 7929MiB +sssshhhyNMMNyssssssssssssyNMMMysssssss+ .ssssssssdMMMNhsssssssssshNMMMdssssssss. /sssssssshNMMMyhhyyyyhdNMMMNhssssssss/ +sssssssssdmydMMMMMMMMddddyssssssss+ /ssssssssssshdmNNNNmyNMMMMhssssss/ .ossssssssssssssssssdMMMNysssso. -+sssssssssssssssssyyyssss+- `:+ssssssssssssssssss+:` .-/+oossssoo+/-. ``` 配置时间: 2023.12 ## 创建python3.6虚拟环境报错 运行下述指令时遇到错误，无法找到python3.6 ```bash ➜ ~ python3.6 -m venv .venv zsh: command not found: python3.6 ``` 尝试在本地macos使用anaconda创建虚拟环境，但是报错 ```bash homebrew git:(stable) conda create -n myenv python=3.6 Retrieving notices: ...working... done Collecting package metadata (current_repodata.json): done Solving environment: unsuccessful attempt using repodata from current_repodata.json, retrying with next repodata source. Collecting package metadata (repodata.json): done Solving environment: failed PackagesNotFoundError: The following packages are not available from current channels: - python=3.6 Current channels: - https://repo.anaconda.com/pkgs/main/osx-arm64 - https://repo.anaconda.com/pkgs/main/noarch - https://repo.anaconda.com/pkgs/r/osx-arm64 - https://repo.anaconda.com/pkgs/r/noarch To search for alternate channels that may provide the conda package you're looking for, navigate to https://anaconda.org and use the search bar at the top of the page. ``` 在conda的[github issue](https://github.com/conda/conda/issues/12925)里发现python3.6没有arm64的版本😭 所以怎么挣扎也没用，遂迁移到github codaspace的linux-x86环境开发 但是apt-get安装指定python版本的时候仍然报错，遂安装三方python环境管理 ```bash sudo add-apt-repository ppa:deadsnakes/ppa sudo apt-get install python3.6 sudo apt install python3.6-venv ``` 然后再运行它要求的那个创建虚拟环境的命令就没有问题了 ## make test踩坑 存在两个头文件无法识别 ```bash mat_test.c:1:10: fatal error: CUnit/CUnit.h: No such file or directory 1 | #include "CUnit/CUnit.h" | ^~~~~~~~~~~~~~~ compilation terminated. In file included from matrix.c:1: matrix.h:1:10: fatal error: Python.h: No such file or directory 1 | #include | ^~~~~~~~~~ compilation terminated. 无法找到这个python头文件，这是一个c-python接口，我应该怎么做以寻找它 ``` ## cunit头文件无法识别 这个比较简单，直接问ai即可 是的，您可以使用apt包管理器在Ubuntu或Debian系统上安装CUnit。 请在终端中执行以下命令： ``` sudo apt update sudo apt install libcunit1 libcunit1-dev ``` 第一条命令将更新您的软件包列表，第二条命令将安装CUnit库和开发文件。 安装完成后，您可以在代码中使用以下方式包含CUnit头文件： ```c #include ``` 然后使用gcc编译器编译您的程序，并链接CUnit库： ```bash gcc -o your_program mat_test.c -lcunit ``` 这样，CUnit库将与您的程序一起编译和链接。 请注意，这些命令适用于Ubuntu或Debian系统。如果您使用的是其他Linux发行版，请参考该发行版的包管理器文档，以确定正确的安装命令。 ## python头文件无法识别 定位问题 ```bash (.venv) @scatyf3 ➜ /workspaces/numc/Python-3.6.15 (master) $ sudo find / -name Python.h /opt/conda/include/python3.10/Python.h /usr/local/python3.6/include/python3.6m/Python.h /usr/local/python/3.10.13/include/python3.10/Python.h /usr/local/python/3.9.18/include/python3.9/Python.h /usr/include/python3.8/Python.h /workspaces/numc/Python-3.6.15/Include/Python.h ``` 注意到这里的Python.h没有3.6版本的，又观察到我们的cmake里写着 ```bash PYTHON = -I/usr/include/python3.6 -lpython3.6m ``` 所以我们问问ai如何安装python3.6的头文件 如果您需要安装Python 3.6的头文件，但系统中没有可用的安装包或头文件，您可以尝试手动安装Python 3.6的开发包。 以下是一种可能的方法： 1. 首先，确保您具备构建源码的工具和依赖项。在Ubuntu或Debian系统上，可以运行以下命令安装这些工具： ```bash sudo apt update sudo apt install build-essential ``` 2. 接下来，下载并解压Python 3.6的源代码。您可以从Python官方网站下载源代码包，或者使用以下命令下载： ```bash wget tar -xvf Python-3.6.15.tgz ``` 3. 进入解压后的Python 3.6源代码目录： ```bash cd Python-3.6.15 ``` 4. 配置和编译Python 3.6。运行以下命令进行配置,这将将Python 3.6安装到`/usr/local/python3.6`目录下。： ```bash ./configure --prefix=/usr/local/python3.6 ``` 5. 编译和安装Python 3.6： ```bash make sudo make install ``` 6. 安装完成后，您应该能够在`/usr/local/python3.6/include/python3.6`路径下找到Python 3.6的头文件。确保这个路径包含了`Python.h`文件。 ```bash ls /usr/local/python3.6/include/python3.6 ``` 7. 最后，根据前面提到的方法在您的代码中使用正确的头文件路径进行编译： ```bash gcc -o your_program matrix.c -I/usr/local/python3.6/include/python3.6 -lpython3.6m ``` 请注意，这些步骤是手动安装Python 3.6的开发包，并从源代码构建。这可能需要一些时间和配置，因此请确保您具备必要的工具和技能。另外，确保仔细阅读并遵循Python 3.6的安装和编译说明，以确保正确安装和配置Python 3.6。 一通操作之后，我们在我们的环境里增加了python3.6的头文件 ```bash (.venv) @scatyf3 ➜ /workspaces/numc/Python-3.6.15 (master) $ sudo find / -name Python.h /opt/conda/include/python3.10/Python.h /usr/local/python3.6/include/python3.6m/Python.h /usr/local/python/3.10.13/include/python3.10/Python.h /usr/local/python/3.9.18/include/python3.9/Python.h /usr/include/python3.8/Python.h /workspaces/numc/Python-3.6.15/Include/Python.h ``` 这样一通操作之后，我们可以跑通make test了😄 --- # Agent Instructions: Querying This Documentation If you need additional information that is not directly available in this page, you can query the documentation dynamically by asking a question. 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