code: import pandas as pd
  import numpy as np
  
  import pandas_profiling
  
  
  def test_urls(get_data_file):
      file_name = get_data_file(
          "whitelist_urls.csv",
          "https://raw.githubusercontent.com/openeventdata/scraper/master/whitelist_urls.csv",
      )
  
      df = pd.read_csv(
          file_name, header=None, names=["source", "url", "reach", "language"]
      )
  
      # Add ~10% missing values
      df = df.mask(np.random.random(df.shape) < 0.1)
  
      profile = df.profile_report(
          title="DataFrame with URL column", samples={"head": 0, "tail": 0}
      )
  
      assert "<small>URL</small>" in profile.to_html(), "URL not detected"
      assert "<th>URL</th>" in profile.to_html(), "URL not detected"
  
apis: pandas.read_csv numpy.random.random