import requests

cmd_str = """
def run(kwargs):
    import numpy as np
    from sklearn import preprocessing
    x = kwargs['x']
    min_max_scaler = preprocessing.MinMaxScaler()
    x_minmax = min_max_scaler.fit_transform(np.array(x).reshape(-1, 2))
    return x_minmax
"""
s = [[1, 20, 30, 40, 5, 6, 7, 8, 9, 10], [1, 20, 30, 40, 5, 6, 7, 8, 9, 10]]
kkk = {'x': s}
print(requests.post("http://172.18.248.152:8000/exec", json={
    "function_str": cmd_str,
    "call_str": "run(kwargs)",
    "param_dict": {
        "kwargs": kkk
    }
}).json())