From 7c0fde0501ba9873e27b8f6129034cf97642cd24 Mon Sep 17 00:00:00 2001
From: Marc Glisse <marc.glisse@inria.fr>
Date: Tue, 26 May 2020 11:37:18 +0200
Subject: More test

---
 src/python/test/test_tomato.py | 43 ++++++++++++++++++++++++++++++++++++++----
 1 file changed, 39 insertions(+), 4 deletions(-)

(limited to 'src/python/test')

diff --git a/src/python/test/test_tomato.py b/src/python/test/test_tomato.py
index 0a33b86e..a4cab654 100755
--- a/src/python/test/test_tomato.py
+++ b/src/python/test/test_tomato.py
@@ -11,17 +11,52 @@
 from gudhi.clustering.tomato import Tomato
 import numpy as np
 import pytest
+import matplotlib.pyplot as plt
+
+# Disable graphics for testing purposes
+plt.show = lambda: None
 
 
 def test_tomato_something():
     a = [(1, 2), (1.1, 1.9), (0.9, 1.8), (10, 0), (10.1, 0.05), (10.2, -0.1), (5.4, 0)]
     t = Tomato(metric="euclidean", n_clusters=2, k=4, n_jobs=-1, eps=0.05)
-    assert np.array_equal(t.fit_predict(a), [1,1,1,0,0,0,0]) # or with swapped 0 and 1
+    assert np.array_equal(t.fit_predict(a), [1, 1, 1, 0, 0, 0, 0])  # or with swapped 0 and 1
+    assert np.array_equal(t.children_, [[0, 1]])
+
+    t = Tomato(density_type="KDE", r=1, k=4)
+    t.fit(a)
+    assert np.array_equal(t.leaf_labels_, [1, 1, 1, 0, 0, 0, 0])  # or with swapped 0 and 1
+    assert t.n_clusters_ == 2
+    t.merge_threshold_ = 10
+    assert t.n_clusters_ == 1
+    assert (t.labels_ == 0).all()
 
-    t = Tomato(density_type='KDE', r=1, k=4)
+    t = Tomato(metric="euclidean", graph_type="radius", r=4.7, k=4)
     t.fit(a)
-    assert np.array_equal(t.leaf_labels_, [1,1,1,0,0,0,0]) # or with swapped 0 and 1
+    assert t.max_weight_per_cc_.size == 2
+    assert np.array_equal(t.neighbors_, [[0, 1, 2], [0, 1, 2], [0, 1, 2], [3, 4, 5, 6], [3, 4, 5], [3, 4, 5], [3, 6]])
+    t.plot_diagram()
 
-    t = Tomato(graph_type='radius', r=4.7, k=4)
+    t = Tomato(graph_type="radius", r=4.7, k=4, symmetrize_graph=True)
     t.fit(a)
     assert t.max_weight_per_cc_.size == 2
+    assert [set(i) for i in t.neighbors_] == [{1, 2}, {0, 2}, {0, 1}, {4, 5, 6}, {3, 5}, {3, 4}, {3}]
+
+    t = Tomato(n_clusters=2, k=4, symmetrize_graph=True)
+    t.fit(a)
+    assert [set(i) for i in t.neighbors_] == [
+        {1, 2, 6},
+        {0, 2, 6},
+        {0, 1, 6},
+        {4, 5, 6},
+        {3, 5, 6},
+        {3, 4, 6},
+        {0, 1, 2, 3, 4, 5},
+    ]
+    t.plot_diagram()
+
+    t = Tomato(k=6, metric="manhattan")
+    t.fit(a)
+    assert t.diagram_.size == 0
+    assert t.max_weight_per_cc_.size == 1
+    t.plot_diagram()
-- 
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