code: def get_csv(args):
      dataset_path = args.datadir
      if args.datadir is None:
          with requests.get(args.url) as r:
              data = (line.decode("utf-8") for line in r.iter_lines())
              data = csv.reader(data, delimiter=",")
              f = open(
                  "nyc_taxi.csv", "w", encoding="utf-8", newline=""
              )
              csv_writer = csv.writer(f)
              for row in data:
                  csv_writer.writerow(row)
              f.close()
              dataset_path = "nyc_taxi.csv"
      is_local_and_existing_uri(dataset_path)
      return dataset_path
  
file_path: BigDL/python/chronos/example/distributed/sparkdf_training_nyc_taxi.py
imports: import requests
  import csv
  import argparse
  from pyspark.sql.types import StructType, StructField, FloatType, TimestampType
  from bigdl.orca.common import init_orca_context, stop_orca_context, OrcaContext
  from bigdl.chronos.data.experimental import XShardsTSDataset
  from bigdl.chronos.forecaster import TCNForecaster
  from bigdl.chronos.metric.forecast_metrics import Evaluator
  import numpy
  from sklearn.preprocessing import StandardScaler
  from urllib.parse import urlparse
  from os.path import exists
  from bigdl.dllib.utils import log4Error
label_desc: Use image node_id 3 for calling a global function with example usage: get_csv(args) and returns: dataset_path