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How to use check_runnable method in lisa

Best Python code snippet using lisa_python

run.py

Source:run.py

...15    print(f"Latest go-cqhttp version:{rsp['tag_name']}")16    for i in rsp["assets"]:17        if "linux_amd64.tar.gz" in i["name"]:18            return i["browser_download_url"]19def check_runnable():20    if not Path("./.data", "go-cqhttp").exists():21        down_url = get_down_url()22        content = requests.get(down_url, headers=HEADERS)23        with open(Path(".data", "download.tar.gz"), "wb")as file:24            file.write(content.content)25        os.system("cd ./.data/ && tar -zxvf ./download.tar.gz")26    os.chmod("./.data/go-cqhttp", 755)27def run_gocq():28    while True:29        process = subprocess.Popen("cd ./.data && ./go-cqhttp faststart", shell=True, stdin=sys.stdin,30                                   stdout=sys.stdout,31                                   stderr=sys.stderr)32        process.wait()33        time.sleep(10)34def keep_live(url: str):35    while True:36        try:37            requests.get(url, headers=HEADERS)38        except Exception as e:39            logging.exception(e)40        time.sleep(60)41def mv_config(env, file_name):42    if os.environ.get(env, None) is not None:43        file = Path(f"./.data/{file_name}")44        if file.exists():45            os.remove(file)46        with open(file, "w") as file:47            content = base64.b64decode(os.environ[env]).decode()48            file.write(content)49if __name__ == '__main__':50    if not Path(".data").exists():51        os.mkdir(".data")52    check_runnable()53    mv_config("CONF", "config.yml")54    mv_config("DEVICE", "devices.json")55    # os.system("refresh")  # å·æ°glitch56    # os.system("git reset HEAD .")57    gocq_thread = threading.Thread(target=run_gocq)58    gocq_thread.isDaemon()59    gocq_thread.start()...

check_model.py

Source:check_model.py

1import onnx2from onnx import checker3import onnxruntime as ort4def check_model(model: onnx.ModelProto, check_runnable: bool = True) -> None:5    """6    Check if model's well-defined and executable on onnxruntime7    """8    # TODO After collecting possible errors,9    #  pass through only if all error messages are "No opset import for domain 'com.microsoft'".10    #  The code below is only to see the first error encountered.11    acceptable_error_msg = [12        "No opset import for domain 'com.microsoft'",13        "No Op registered for LayerNormalization with domain_version of 12",14    ]15    try:16        checker.check_model(model)17    except checker.ValidationError as e:18        if str(e).split("==>")[0].rstrip() in acceptable_error_msg:19            pass20        else:21            checker.check_model(model)22    if check_runnable:23        ort.set_default_logger_severity(3)...

sample_grading.py

Source:sample_grading.py

...8    f = open("test_memory_visualizer.mips")9    student_program = preprocess(f)10    # Ensures that a student's program is not longer than 500 instructions11    assert len(student_program.source) < 50012    def check_runnable(p):13        # This is where to set a condition to test students' programs14        assert p.registers["$k0"] == 015        assert p.registers["$k1"] == 016        if not p.exited:17            l = p.source[p.registers["pc"]]18            print(f"{l.filename.split('/')[-1]}:{l.lineno} - {l.line}")19        return not p.exited...

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