Test openmp compilation on travis.

.travis.yml

@@ -18,7 +18,7 @@ install:
   - conda info -a
   - conda create -q -n test-environment python=$TRAVIS_PYTHON_VERSION
   - source activate test-environment
-  - conda install sympy cython cyipopt nose coverage sphinx matplotlib
+  - conda install sympy cython cyipopt nose coverage sphinx matplotlib openmp
 script:
   - nosetests -v --with-coverage --cover-package=opty
   - python setup.py install

README.rst

@@ -59,6 +59,7 @@ To run all of the examples the following additional dependencies are required:
 - pytables
 - pandas
 - yeadon
+- openmp
 
 **Currently only Linux and Mac are officially supported.** Although, it should
 be possible to install this on Windows with an appropriate Cython compilation

opty/tests/test_utils.py

@@ -100,8 +100,8 @@ def eval_matrix_loop_numpy(a_vals, b_vals, c_vals):
         result[:, 0, 0] = a_vals**2 * np.cos(b_vals)**c_vals
         result[:, 0, 1] = np.tan(b_vals) / np.sin(a_vals + b_vals) + c_vals**4
         result[:, 1, 0] = a_vals**2 + b_vals**2 - np.sqrt(c_vals)
-        result[:, 1, 1] = (((a_vals + b_vals + c_vals) * (a_vals + b_vals))
-                           / a_vals * np.sin(b_vals))
+        result[:, 1, 1] = (((a_vals + b_vals + c_vals) * (a_vals + b_vals)) /
+                           a_vals * np.sin(b_vals))
 
         return result
 
@@ -119,6 +119,13 @@ def eval_matrix_loop_numpy(a_vals, b_vals, c_vals):
     testing.assert_allclose(f(result, a_vals, b_vals, c_val),
                             eval_matrix_loop_numpy(a_vals, b_vals, c_val))
 
+    f = utils.ufuncify_matrix((a, b, c), sym_mat, const=(c,), parallel=True)
+
+    result = np.empty((n, 4))
+
+    testing.assert_allclose(f(result, a_vals, b_vals, c_val),
+                            eval_matrix_loop_numpy(a_vals, b_vals, c_val))
+
 
 def test_substitute_matrix():