code: def test_2d_custom_ranks():
      ranks = np.array(
          [
              [1.0, -0.076, 0.71, 0.65],
              [-0.076, 1.0, -0.18, -0.15],
              [0.71, -0.18, 1.0, 0.80],
              [0.65, -0.15, 0.80, 1.0],
          ]
      )
      Rank2D(
          features=["Feature1", "Feature2", "Feature3", "Feature4"],
          figsize=(9, 12),
      ).feature_ranks_custom_algorithm(ranks)
  
imports: import matplotlib.pyplot
  import pytest
  import pandas
  import numpy
  from sklearn.datasets import load_iris
  from matplotlib.testing.decorators import image_comparison
  from sklearn_evaluation.plot import Rank1D, Rank2D
label_desc: Use image node_id 23 for calling a global function with example usage: test_2d_custom_ranks() without return types