code: def testLoadDSVSimple():
      dataFile = pool_test_helpers.writeToTempFile(
          "0\t0.1\t0.2\n" + "1\t0.97\t0.82\n" + "0\t0.13\t0.22\n"
      )
      cdFile = pool_test_helpers.writeToTempFile("0\tTarget")
  
      spark = test_helpers.getOrCreateSparkSession(
          test_helpers.getCurrentMethodName()
      )
      import catboost_spark
  
      pool = catboost_spark.Pool.load(
          spark, dataFile, columnDescription=cdFile
      )
      featureNames = ["_f0", "_f1"]
  
      pool.data.show(truncate=False)
  
      """
      PoolTestHelpers.comparePoolWithExpectedData(
          pool,
          PoolTestHelpers.createSchema(
            Seq(
              ("features", SQLDataTypes.VectorType),
              ("label", StringType)
            ),
            featureNames,
            nullableFields=Seq("features", "label")
          ),
          Seq(
            Row(Vectors.dense(0.1, 0.2), "0"),
            Row(Vectors.dense(0.97, 0.82), "1"),
            Row(Vectors.dense(0.13, 0.22), "0")
          ),
          featureNames
      )
      """
  
file_path: catboost/catboost/spark/catboost4j-spark/core/src/test/python/pool_loading_test.py
imports: import pool_test_helpers
  import test_helpers
  import pytest
label_desc: Use image node_id 1 for calling a global function with example usage: testLoadDSVSimple() without return types