From 488e8abb52c7cabfcc60d284d471180e911ecf5c Mon Sep 17 00:00:00 2001
From: Denis Arrivault <denis.arrivault@lif.univ-mrs.fr>
Date: Fri, 23 Mar 2018 11:44:43 +0100
Subject: [PATCH] Correct tests

---
 splearn/spectral.py            | 1 +
 splearn/tests/test_spectral.py | 6 +++---
 2 files changed, 4 insertions(+), 3 deletions(-)

diff --git a/splearn/spectral.py b/splearn/spectral.py
index ce705d2..d10dea8 100644
--- a/splearn/spectral.py
+++ b/splearn/spectral.py
@@ -149,6 +149,7 @@ class Spectral(BaseEstimator):
                  "lrows": self.lrows, "lcolumns": self.lcolumns,
                  "partial": self.partial,
                  "sparse": self.sparse,
+                 "full_svd_calculation" : self.full_svd_calculation,
                  "smooth_method" : self.smooth_method,
                  "mode_quiet" : self.mode_quiet
                 }
diff --git a/splearn/tests/test_spectral.py b/splearn/tests/test_spectral.py
index 314aa17..23402c1 100644
--- a/splearn/tests/test_spectral.py
+++ b/splearn/tests/test_spectral.py
@@ -49,7 +49,7 @@ class SpectralTest(unittest.TestCase):
     def test_version(self):
         adr = get_dataset_path("essai")
         data = load_data_sample(adr=adr)
-        cl = Spectral(partial=False, sparse=False, version="prefix")
+        cl = Spectral(partial=False, sparse=False, full_svd_calculation= "True", version="prefix")
         X = data.data
         cl.fit(X=X)
         np.testing.assert_almost_equal(cl.automaton.initial,
@@ -57,7 +57,7 @@ class SpectralTest(unittest.TestCase):
                                          1.30974719e-02, -1.66533454e-16,
                                          -3.70074342e-17]))
 
-        cl = Spectral(partial=False, sparse=False, version="suffix")
+        cl = Spectral(partial=False, sparse=False, full_svd_calculation= "True", version="suffix")
         cl.fit(X=X)
         np.testing.assert_almost_equal(cl.automaton.initial,
                                        np.array(
@@ -65,7 +65,7 @@ class SpectralTest(unittest.TestCase):
                                             2.89623130e-01, 1.85499764e-15,
                                             0.00000000e+00]))
         cl = Spectral(partial=False, sparse=False,
-                      version="factor", mode_quiet=False)
+                      version="factor", full_svd_calculation= True, mode_quiet=False)
         cl.fit(X=X)
         np.testing.assert_almost_equal(cl.automaton.final,
                                        np.array([ -4.35303631e-01,
-- 
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