Merge pull request #2 from Yauanyyy/ZZ_workflowtest

Add GitHub Actions workflow for simulation and plotting

Author: Yauanyyy

.github/workflows/run_simulation.yml

@@ -0,0 +1,65 @@
+name: Simulation and Plotting
+
+on:
+  push:
+    branches: [ "main" ]
+  workflow_dispatch: # 允许手动点击触发
+
+jobs:
+  run-sim:
+    runs-on: ubuntu-latest
+
+    steps:
+    # 1. 拉取代码
+    - name: Checkout code
+      uses: actions/checkout@v4
+
+    # 2. 编译两个 C 语言文件
+    - name: Compile C code
+      run: |
+        gcc Viterbi_Hard_K3_75.c -o viterbi_hard -lm
+        gcc Viterbi_Soft_K3_75.c -o viterbi_soft -lm
+      # 注意：-lm 用于链接 math 库 (math.h)
+
+    # 3. 运行 C 程序 (重点：自动输入参数)
+    # 你的程序通过 scanf 等待输入: start, finish, seq_num
+    # 这里我们用 echo 把 "0 10 10000" 喂给程序 (0dB到10dB, 10000帧)
+    - name: Run Hard Decision Simulation
+      run: echo "0 12 100000" | ./viterbi_hard
+
+    - name: Run Soft Decision Simulation
+      run: echo "0 12 100000" | ./viterbi_soft
+
+    # 4. 整理文件 (关键步骤)
+    # Python 脚本去 zoutput 文件夹找 csv，所以我们手动创建并移动过去
+    - name: Organize CSV files
+      run: |
+        mkdir -p zoutput
+        mv hard_viterbi.csv zoutput/
+        mv soft_viterbi.csv zoutput/
+
+    # 5. 配置 Python 环境
+    - name: Set up Python
+      uses: actions/setup-python@v5
+      with:
+        python-version: '3.9'
+
+    # 6. 安装 Python 绘图依赖
+    - name: Install dependencies
+      run: |
+        pip install matplotlib pandas scipy
+
+    # 7. 运行 Python 绘图
+    - name: Generate Plots
+      run: python plot_new.py
+
+    # 8. 打包下载结果
+    # 这里我们把生成的图片 (pictures/) 和 CSV 数据 (zoutput/) 都打包
+    - name: Upload Results
+      uses: actions/upload-artifact@v4
+      with:
+        name: simulation-results
+        path: |
+          pictures/*.png
+          zoutput/*.csv
+        retention-days: 5