code: def test_pandas_dataframe(dtype):
      a = pd.DataFrame([1, 2, 3, 4]).astype(dtype)
      b = pd.DataFrame([1, 2, 3, 4]).astype(dtype)
      assert hash(a) == hash(b)
  
      b = pd.DataFrame([1, 2, 4, 4]).astype(dtype)
      assert hash(a) != hash(b)
  
      a = pd.DataFrame([1, 2, 3, 4], columns=["A"]).astype(dtype)
      b = pd.DataFrame([1, 2, 3, 4], columns=["B"]).astype(dtype)
      assert hash(a) != hash(b)
  
      a = pd.DataFrame([1, 2, 3, 4], index=[1, 2, 3, 4]).astype(dtype)
      b = pd.DataFrame([1, 2, 3, 4], index=[1, 2, 3, 5]).astype(dtype)
      assert hash(a) != hash(b)
  
imports: import gc
  import itertools
  import pickle
  import sys
  import time
  from concurrent.futures import ProcessPoolExecutor
  import numpy
  import pandas
  import pytest
  from sklearn.base import BaseEstimator
  from xxhash import xxh128
  from pycaret.datasets import get_data
  from pycaret.internal.memory import fast_hash
  from pycaret.regression import RegressionExperiment
label_desc: Use image node_id 4 for calling a global function with example usage: test_pandas_dataframe(dtype) without return types