code: def test_custom_sample():
      df = pd.DataFrame({"test": [1, 2, 3, 4, 5]})
  
      # In case that a sample of the real data (cars) would disclose sensitive information, we can replace it with
      # mock data. For illustrative purposes, we use data based on cars from a popular game series.
      mock_data = pd.DataFrame(
          {
              "make": ["Blista Kanjo", "Sentinel", "Burrito"],
              "price": [58000, 95000, 65000],
              "mpg": [20, 30, 22],
              "rep78": ["Average", "Excellent", "Fair"],
              "headroom": [2.5, 3.0, 1.5],
              "trunk": [8, 10, 4],
              "weight": [1050, 1600, 2500],
              "length": [165, 170, 180],
              "turn": [40, 50, 32],
              "displacement": [80, 100, 60],
              "gear_ratio": [2.74, 3.51, 2.41],
              "foreign": ["Domestic", "Domestic", "Foreign"],
          }
      )
  
      # Length left out due to correlation with weight.
      report = ProfileReport(
          df,
          title="Test custom sample",
          sample={
              "name": "Mock data sample",
              "data": mock_data,
              "caption": "Disclaimer: this is synthetic data generated based on the format of the data in this table.",
          },
          minimal=True,
      )
  
      samples = report.get_description().sample
      assert len(samples) == 1
      sample = samples[0]
      assert sample.id == "custom"
      assert hash_dataframe(sample.data) == hash_dataframe(mock_data)
      assert sample.name == "Mock data sample"
      assert (
          sample.caption
          == "Disclaimer: this is synthetic data generated based on the format of the data in this table."
      )
  
      html = report.to_html()
      assert "Mock data sample" in html
      assert all(
          make in html for make in mock_data["make"].values.tolist()
      )
      assert (
          "Disclaimer: this is synthetic data generated based on the format of the data in this table"
          in html
      )
  
imports: import pandas
  from ydata_profiling import ProfileReport
  from ydata_profiling.utils.dataframe import hash_dataframe
label_desc: Use image node_id 1 for calling a global function with example usage: test_custom_sample() without return types