fixes to tests

theano/sparse/tests/test_sp2.py

@@ -60,7 +60,7 @@ class test_structured_add_s_v(unittest.TestCase):
         for format in ['csr', 'csc']:
             for dtype in ['float32', 'float64']:
                 spmat = sp_types[format](random_lil((4, 3), dtype, 3))
-                mat = numpy.ones(3, dtype=dtype)
+                mat = numpy.asarray(numpy.random.rand(3), dtype=dtype)
                 
                 S.verify_grad_sparse(S2.structured_add_s_v,
                     [spmat, mat], structured=True)
@@ -78,11 +78,11 @@ class test_structured_add_s_v(unittest.TestCase):
                 spmat = sp_types[format](random_lil((4, 3), dtype, 3))
                 spones = spmat.copy()
                 spones.data = numpy.ones_like(spones.data)
-                mat = numpy.ones(3, dtype=dtype)
+                mat = numpy.asarray(numpy.random.rand(3), dtype=dtype)
                 
                 out = f(spmat, mat)
                 
-                assert numpy.all(out.toarray() == spones.multiply(spmat + mat))
+                assert numpy.allclose(out.toarray(), spones.multiply(spmat + mat))
 
 
 class test_mul_s_v(unittest.TestCase):
@@ -96,7 +96,7 @@ class test_mul_s_v(unittest.TestCase):
         for format in ['csr', 'csc']:
             for dtype in ['float32', 'float64']:
                 spmat = sp_types[format](random_lil((4, 3), dtype, 3))
-                mat = numpy.ones(3, dtype=dtype)
+                mat = numpy.asarray(numpy.random.rand(3), dtype=dtype)
                 
                 S.verify_grad_sparse(S2.mul_s_v,
                     [spmat, mat], structured=True)
@@ -112,13 +112,11 @@ class test_mul_s_v(unittest.TestCase):
                 f = theano.function([x, y], S2.mul_s_v(x, y))
                 
                 spmat = sp_types[format](random_lil((4, 3), dtype, 3))
-                spones = spmat.copy()
-                spones.data = numpy.ones_like(spones.data)
-                mat = numpy.ones(3, dtype=dtype)
+                mat = numpy.asarray(numpy.random.rand(3), dtype=dtype)
                 
                 out = f(spmat, mat)
                 
-                assert numpy.all(out.toarray() == (spmat.toarray() * mat))
+                assert numpy.allclose(out.toarray(), spmat.toarray() * mat)
 
 if __name__ == '__main__':
     unittest.main()