在计算机上本地工作时，我无法抑制pyspark警告。我收到以下警告，我想“抑制”它们：

WARN Utils: Your hostname, [HOSTNAME] resolves to a loopback address: 127.0.1.1; using 192.168.26.41 instead (on interface [INTERFACE])
WARN Utils: Set SPARK_LOCAL_IP if you need to bind to another address
Setting default log level to "WARN".
To adjust logging level use sc.setLogLevel(newLevel). For SparkR, use setLogLevel(newLevel).
WARN NativeCodeLoader: Unable to load native-hadoop library for your platform... using builtin-java classes where applicable

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以下是我试图抑制警告的内容，但它们都不起作用：

from pyspark.sql import SparkSession
method_number = 1 # 2, 3
def get_spark_object():
    return SparkSession.builder.getOrCreate()
if method_number == 1:
    import sys
    save_stdout = sys.stdout
    sys.stdout = open('trash', 'w')
    spark = get_spark_object()
    sys.stdout = save_stdout
elif method_number == 2:
    import warnings
    warnings.filterwarnings('ignore')
    warnings.simplefilter('ignore')
    spark = get_spark_object()
elif method_number == 3:
    import shutup
    shutup.please()
    spark = get_spark_object()

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