code: def test_convert_float_and_dates_reader():
      """Test convert_float_and_dates function of reader module."""
      index = ["a", "b", "c"]
      values = [1, 2, 3]
      serie = pd.Series(data=values, index=index)
      serie = convert_float_and_dates(serie)
      assert serie.dtype == "float64"
  
      index = ["a", "b", "c"]
      values = np.array(
          ["2007-07-13", "2006-01-13", "2010-08-13"], dtype="datetime64"
      )
      serie = pd.Series(
          data=values, index=index, dtype="datetime64[ns]", name="test"
      )
      df = convert_float_and_dates(serie)
      assert np.all(df.index == serie.index)
      assert np.all(
          df.columns.values
          == [
              "test_TIMESTAMP",
              "test_YEAR",
              "test_MONTH",
              "test_DAY",
              "test_DAYOFWEEK",
              "test_HOUR",
          ]
      )
  
      index = ["a", "b", "c"]
      values = np.array(["2007-07-13", "2006-01-13", "2010-08-13"])
      serie = pd.Series(data=values, index=index, name="test")
      df = convert_float_and_dates(serie)
      assert np.all(df.index == serie.index)
      assert np.all(
          df.columns.values
          == [
              "test_TIMESTAMP",
              "test_YEAR",
              "test_MONTH",
              "test_DAY",
              "test_DAYOFWEEK",
              "test_HOUR",
          ]
      )
  
file_path: MLBox/tests/test_reader.py
imports: import sys
  import pytest
  import pandas
  import numpy
  from mlbox.preprocessing.reader import convert_list
  from mlbox.preprocessing.reader import convert_float_and_dates
  from mlbox.preprocessing.reader import Reader
label_desc: Use image node_id 5 for calling a global function with example usage: test_convert_float_and_dates_reader() without return types