Clean code: Remove prints in tests

Author: Lucas-Haubert

tests/test_bdcsvd.py

@@ -53,12 +53,8 @@ def test_bdcsvd(options):
     assert cols == dim
     assert rows == dim
 
-    bdcsvd_compute = bdcsvd.compute(A)
-    bdcsvd_compute_options = bdcsvd.compute(A, options)
-    print("bdcsvd_compute")
-    print(bdcsvd_compute)
-    print("bdcsvd_compute_options")
-    print(bdcsvd_compute_options)
+    _bdcsvd_compute = bdcsvd.compute(A)
+    _bdcsvd_compute_options = bdcsvd.compute(A, options)
 
     rank = bdcsvd.rank()
     singularvalues = bdcsvd.singularValues()
@@ -118,9 +114,7 @@ def test_bdcsvd(options):
     bdcsvd.setSwitchSize(32)
 
     bdcsvd.setThreshold()
-    default_threshold = bdcsvd.threshold()
-    print("default_threshold")
-    print(default_threshold)
+    _default_threshold = bdcsvd.threshold()
     bdcsvd.setThreshold(1e-8)
     assert bdcsvd.threshold() == 1e-8
 

tests/test_generalized_self_adjoint_eigen_solver.py

@@ -72,12 +72,8 @@ def test_generalized_selfadjoint_eigensolver(options):
                 lam_v = lam * v
                 assert np.allclose(BAv, lam_v)
 
-    gsaes_compute = gsaes.compute(A, B)
-    gsaes_compute_options = gsaes.compute(A, B, options)
-    print("gsaes_compute")
-    print(gsaes_compute)
-    print("gsaes_compute_options")
-    print(gsaes_compute_options)
+    _gsaes_compute = gsaes.compute(A, B)
+    _gsaes_compute_options = gsaes.compute(A, B, options)
 
     rank = len([d for d in D if abs(d) > 1e-12])
     assert rank <= dim

tests/test_jacobi_svd.py

@@ -71,12 +71,8 @@ def test_jacobi(cls, options):
     assert cols == dim
     assert rows == dim
 
-    jacobisvd_compute = jacobisvd.compute(A)
-    jacobisvd_compute_options = jacobisvd.compute(A, options)
-    print("jacobisvd_compute")
-    print(jacobisvd_compute)
-    print("jacobisvd_compute_options")
-    print(jacobisvd_compute_options)
+    _jacobisvd_compute = jacobisvd.compute(A)
+    _jacobisvd_compute_options = jacobisvd.compute(A, options)
 
     rank = jacobisvd.rank()
     singularvalues = jacobisvd.singularValues()
@@ -132,9 +128,7 @@ def test_jacobi(cls, options):
         assert nanoeigenpy.is_approx(A, A_reconstructed)
 
     jacobisvd.setThreshold()
-    default_threshold = jacobisvd.threshold()
-    print("default_threshold")
-    print(default_threshold)
+    _default_threshold = jacobisvd.threshold()
     jacobisvd.setThreshold(1e-8)
     assert jacobisvd.threshold() == 1e-8