How to use the pyflink.datastream.StreamExecutionEnvironment.get_execution_environment function in pyflink

def setUp(self):
        super(PyFlinkBlinkStreamTableTestCase, self).setUp()
        self.env = StreamExecutionEnvironment.get_execution_environment()
        self.env.set_parallelism(2)
        self.t_env = StreamTableEnvironment.create(
            self.env, environment_settings=EnvironmentSettings.new_instance()
                .in_streaming_mode().use_blink_planner().build())

from pyflink.datastream import StreamExecutionEnvironment
from pyflink.table import StreamTableEnvironment, EnvironmentSettings, DataTypes
from pyflink.table.descriptors import FileSystem, OldCsv, Schema
from pyflink.table.types import DataTypes

content = (
    'line Licensed to the Apache Software Foundation ASF under one '
    'line or more contributor license agreements See the NOTICE file '
    'line distributed with this work for additional information '
    'line regarding copyright ownership The ASF licenses this file '
    'to you under the Apache License Version the '
    'License you may not use this file except in compliance '
    'with the License'
)

env = StreamExecutionEnvironment.get_execution_environment()
t_env = StreamTableEnvironment.create(
    env,
    environment_settings = EnvironmentSettings.new_instance()
    .use_blink_planner()
    .build(),
)

result_path = '/notebooks/output.csv'

print('Results directory:', result_path)

t_env.connect(FileSystem().path(result_path)).with_format(
    OldCsv()
    .field_delimiter(',')
    .field('word', DataTypes.STRING())
    .field('count', DataTypes.BIGINT())