text: import numpy as np
  import pandas as pd
  import pytest
  
  from pandas_profiling import ProfileReport
  
  
  @pytest.fixture
  def tdf(get_data_file):
      file_name = get_data_file(
          "meteorites.csv",
          "https://data.nasa.gov/api/views/gh4g-9sfh/rows.csv?accessType=DOWNLOAD",
      )
  
      df = pd.read_csv(file_name)
  
      # Note: Pandas does not support dates before 1880, so we ignore these for this analysis
      df["year"] = pd.to_datetime(df["year"], errors="coerce")
  
      # Example: Constant variable
      df["source"] = "NASA"
  
      # Example: Boolean variable
      df["boolean"] = np.random.choice([True, False], df.shape[0])
  
      # Example: Mixed with base types
      df["mixed"] = np.random.choice([1, "A"], df.shape[0])
  
      # Example: Highly correlated variables
      df["reclat_city"] = df["reclat"] + np.random.normal(scale=5, size=(len(df)))
  
      # Example: Duplicate observations
      duplicates_to_add = pd.DataFrame(df.iloc[0:10])
      df = df.append(duplicates_to_add, ignore_index=True)
      return df
  
  
  def test_modular_description_set(tdf):
      profile = ProfileReport(
          tdf,
          title="Modular test",
          duplicates=None,
          samples={"head": 0, "tail": 0},
          correlations=None,
          interactions=None,
          missing_diagrams={
              "matrix": False,
              "bar": False,
              "dendrogram": False,
              "heatmap": False,
          },
          pool_size=1,
      )
  
      html = profile.get_description()
      assert len(html) > 0
  
  
  def test_modular_absent(tdf):
      profile = ProfileReport(
          tdf,
          title="Modular test",
          duplicates={"head": 0},
          samples={"head": 0, "tail": 0},
          interactions=None,
          correlations=None,
          missing_diagrams=None,
      )
  
      html = profile.to_html()
      assert "Correlations</h1>" not in html
      assert "Duplicate rows</h1>" not in html
      assert "Sample</h1>" not in html
      assert "Missing values</h1>" not in html
  
  
  def test_modular_present(tdf):
      profile = ProfileReport(
          tdf,
          title="Modular test",
          duplicates={"head": 10},
          samples={"head": 10, "tail": 10},
          interactions={"targets": ["mass (g)"], "continuous": True},
          correlations={
              "pearson": {"calculate": True},
              "spearman": {"calculate": True},
              "kendall": {"calculate": True},
              "phi_k": {"calculate": True},
              "cramers": {"calculate": True},
          },
          missing_diagrams={
              "matrix": True,
              "bar": True,
              "dendrogram": True,
              "heatmap": True,
          },
          pool_size=1,
      )
  
      html = profile.to_html()
      assert "Correlations</h1>" in html
      assert "Duplicate rows</h1>" in html
      assert "Sample</h1>" in html
      assert "Missing values</h1>" in html
  