code: def measure_numpy_ndarray_with_column_order_dataset(
      rows_count: int, columns_count: int = 200
  ) -> tp.Tuple:
      raw_data: tp.Tuple[
          np.ndarray, np.ndarray, np.ndarray, np.ndarray
      ] = get_raw_data(rows_count, columns_count)
  
      concatenated: np.ndarray = np.transpose(
          np.concatenate(raw_data, axis=0)
      )
      data: np.ndarray = np.array(concatenated, order="C")
  
      return measure_pool_building_with_numerical_data(data)
  
file_path: catboost/catboost/benchmarks/pool_creation_benchmark/benchmarks.py
imports: import numpy
  import typing
  import pandas
  from catboost import Pool
  from timeit import default_timer
label_desc: Use image node_id 3 for calling a global function with example usage: measure_numpy_ndarray_with_column_order_dataset(rows_count, columns_count) and returns: measure_pool_building_with_numerical_data