code: def mixed_pdf():
      pdf = pd.DataFrame()
      pdf["Integer"] = np.array([2345, 11987, 9027, 9027])
      pdf["Date"] = np.array(
          ["18/04/1995", "14/07/1994", "07/06/2006", "16/09/2005"]
      )
      pdf["Float"] = np.array([9.001, 8.343, 6, 2.781])
      pdf["Integer2"] = np.array([2345, 106, 2088, 789277])
      pdf["Category"] = np.array(["M", "F", "F", "F"])
      pdf["String"] = np.array(["Alpha", "Beta", "Gamma", "Delta"])
      pdf["Boolean"] = np.array([True, False, True, False])
      return pdf
  
imports: import textwrap
  import cupy
  import numpy
  import pandas
  import pytest
  from hypothesis import given, settings, strategies
  import cudf
  from cudf.testing import _utils
  from cudf.utils.dtypes import np_dtypes_to_pandas_dtypes
label_desc: Use image node_id 9 for calling a global function with example usage: mixed_pdf() and returns: pdf