code: def read_csv(file_path: str, **kwargs) -> "SparkXShards":
      """
  
      Read csv files to SparkXShards of pandas DataFrames.
  
      :param file_path: A csv file path, a list of multiple csv file paths, or a directory
      containing csv files. Local file system, HDFS, and AWS S3 are supported.
      :param kwargs: You can specify read_csv options supported by pandas.
      :return: An instance of SparkXShards.
      """
      return read_file_spark(file_path, "csv", **kwargs)
  
file_path: BigDL/python/orca/src/bigdl/orca/data/pandas/preprocessing.py
imports: import os
  from bigdl.dllib.utils.common import get_node_and_core_number
  from bigdl.dllib.nncontext import init_nncontext
  from bigdl.orca import OrcaContext
  from bigdl.orca.data import SparkXShards
  from bigdl.orca.data.utils import *
  from bigdl.dllib.utils.log4Error import invalidInputError
  from typing import TYPE_CHECKING, List, Optional
label_desc: Use image node_id 1 for calling a global function with example usage: read_csv(file_path) and returns: read_file_spark