{
  "id": "single-software-execution--cli--openfast--task-14--ubuntu",
  "snapshot": "openfast5",
  "instruction": "Treat `/home/user/Desktop/batch_base.fst`, `/home/user/Desktop/NRELOffshrBsline5MW_InflowWind_base.dat`, and a complete version-matched dependency closure as the starting point. Only initialization inputs are preloaded; generate all scripts and result artifacts yourself.\n\nOn this machine, the OpenFAST executable is `/home/user/miniconda3/bin/openfast` when working on `batch_base.fst`. Complete an automated steady-wind batch workflow from the command line: 1. Write `/home/user/Desktop/batch_run.py` to generate `NRELOffshrBsline5MW_InflowWind_WS.dat` and `case_wsWS.fst` under `/home/user/Desktop` for wind speeds 4, 8, 11, 15, and 20 m/s. Every InflowWind file must use `WindType=1` and its own `HWindSpeed`; every case must reference its matching input. Run the five 60-second cases serially, keeping every `.out` file and normal-termination log under `/home/user/Desktop`. 2. Write `/home/user/Desktop/batch_post.py` to locate the official output channels `GenPwr`, `RotSpeed`, and `BldPitch1` by header name and compute each channel's arithmetic mean over `Time>=50 s`. 3. Save `/home/user/Desktop/summary.txt` as `ws, genpwr_kw, rotspeed_rpm, bladepitch_deg`. 4. Do not use GUI tools.",
  "source": "https://github.com/openFAST/r-test",
  "config": [
    {
      "type": "upload_file",
      "parameters": {
        "files": [
          {
            "local_path": "task-14/init_file/init_file.tar",
            "path": "/home/user/Desktop/init_file.tar"
          }
        ]
      }
    },
    {
      "type": "launch",
      "parameters": {
        "command": "bash -c \"mkdir -p '/home/user/Desktop/' && tar -xf '/home/user/Desktop/init_file.tar' -C '/home/user/Desktop/' && rm -f '/home/user/Desktop/init_file.tar'\"",
        "shell": true
      }
    }
  ],
  "trajectory": "trajectories/",
  "related_apps": [
    "openfast"
  ],
  "artifact_paths": [
    "/home/user/Desktop/NRELOffshrBsline5MW_InflowWind_4.dat",
    "/home/user/Desktop/NRELOffshrBsline5MW_InflowWind_8.dat",
    "/home/user/Desktop/NRELOffshrBsline5MW_InflowWind_11.dat",
    "/home/user/Desktop/NRELOffshrBsline5MW_InflowWind_15.dat",
    "/home/user/Desktop/NRELOffshrBsline5MW_InflowWind_20.dat",
    "/home/user/Desktop/case_ws4.fst",
    "/home/user/Desktop/case_ws4.out",
    "/home/user/Desktop/case_ws4.log",
    "/home/user/Desktop/case_ws8.fst",
    "/home/user/Desktop/case_ws8.out",
    "/home/user/Desktop/case_ws8.log",
    "/home/user/Desktop/case_ws11.fst",
    "/home/user/Desktop/case_ws11.out",
    "/home/user/Desktop/case_ws11.log",
    "/home/user/Desktop/case_ws15.fst",
    "/home/user/Desktop/case_ws15.out",
    "/home/user/Desktop/case_ws15.log",
    "/home/user/Desktop/case_ws20.fst",
    "/home/user/Desktop/case_ws20.out",
    "/home/user/Desktop/case_ws20.log",
    "/home/user/Desktop/batch_run.py",
    "/home/user/Desktop/batch_post.py",
    "/home/user/Desktop/summary.txt"
  ],
  "evaluator": {
    "postconfig": [
      {
        "type": "upload_file",
        "parameters": {
          "files": [
            {
              "local_path": "task-14/eval.py",
              "path": "/home/user/Desktop/eval.py"
            }
          ]
        }
      }
    ],
    "func": "exact_match",
    "result": {
      "type": "vm_command_line",
      "command": "python3 /home/user/Desktop/eval.py",
      "shell": "true"
    },
    "expected": {
      "type": "rule",
      "rules": {
        "expected": "True\n"
      }
    }
  },
  "proxy": false,
  "fixed_ip": false,
  "possibility_of_env_change": "low"
}