code: def make_numeric_dataframe(nrows, dtype):
      df = pd.DataFrame()
      df["col1"] = np.arange(nrows, dtype=dtype)
      df["col2"] = np.arange(1, 1 + nrows, dtype=dtype)
      return df
  
imports: import copy
  import gzip
  import itertools
  import os
  from io import BytesIO, StringIO
  from pathlib import Path
  import numpy
  import pandas
  import pyarrow
  import pytest
  import cudf
  from cudf.testing._utils import DATETIME_TYPES, NUMERIC_TYPES, TIMEDELTA_TYPES, assert_eq
label_desc: Use image node_id 1 for calling a global function with example usage: make_numeric_dataframe(nrows, dtype) and returns: df