new CI-image and related updates

docker/Dockerfile_simple

@@ -25,5 +25,5 @@ RUN conda update -y conda && \
 # update pip then install openmdao, windio and fused-wake (nocache to save space)
 RUN pip install --upgrade pip && \
     pip install --no-cache-dir openmdao && \
-    pip install --no-cache-dir git+https://github.com/rethore/windIO.git && \
-    pip install --no-cache-dir git+https://github.com/FUSED-Wind/FUSED-Wake.git
+    pip install --no-cache-dir git+https://github.com/FUSED-Wind/windIO.git && \
+    pip install --no-cache-dir git+https://gitlab.windenergy.dtu.dk/TOPFARM/FUSED-Wake.git

topfarm/_topfarm.py

@@ -100,7 +100,7 @@ class TopFarm(object):
                          if comp._has_compute_partials and
                          (comp.pathname not in ['spacing_comp', 'bound_comp', 'plot_comp'] or (all and comp.pathname != 'plot_comp'))]
         print("checking %s" % ", ".join(comp_name_lst))
-        res = self.problem.check_partials(comps=comp_name_lst, compact_print=True)
+        res = self.problem.check_partials(includes=comp_name_lst, compact_print=True)
         for comp in comp_name_lst:
             var_pair = list(res[comp].keys())
             worst = var_pair[np.argmax([res[comp][k]['rel error'].forward for k in var_pair])]
@@ -180,7 +180,7 @@ def try_me():
 
         boundary = [(0, 0), (6, 0), (6, -10), (0, -10)]
         tf = TopFarm(optimal, DummyCost(optimal), minSpacing * rotorDiameter,
-                     boundary=boundary, plot_comp=plot_comp)
+                     boundary=boundary, plot_comp=plot_comp, record=True)
         # tf.check()
         tf.shuffle_positions(shuffle_type='abs', offset=random_offset)
         tf.optimize()

topfarm/tests/topfarm/test_utils.py

@@ -8,10 +8,10 @@ import os
 from topfarm.utils import pos_from_case, latest_id, _shuffle_positions_abs
 
 thisdir = os.path.dirname(os.path.abspath(__file__))
-turbines = np.array([[ 2.4999377 , -2.99987763],
-                   [ 6.        , -6.99997496],
-                   [ 4.49993771, -2.99985273],
-                   [ 3.00004123, -6.9999519 ]])
+turbines = np.array([[ 2.49998371, -2.99999965],
+       [ 6.        , -6.99999467],
+       [ 4.49998371, -3.00002279],
+       [ 3.00001007, -7.00001197]])
 x = np.array([-0.5463264 ,  0.4158521 ,  1.50479727,  3.04121982,  0.82494571,
             1.48072571,  0.03939927,  2.27593243, -0.18551361,  0.24885285,
             1.12706339,  2.25472924,  0.04329133,  0.292686  ,  5.18916103,
@@ -47,7 +47,7 @@ turbines2_ref = np.array([[-0.53056298, -5.34414632],
        [ 6.42858562, -9.90795045]])
 
 def testpos_from_case():
-    crf = "../test_files/recordings/cases_20180621_111710.sql"
+    crf = "../test_files/recordings/cases_20180703_152607.sql"
     path = os.path.join(thisdir, crf)
     np.testing.assert_allclose(turbines, pos_from_case(path))
 
@@ -55,7 +55,7 @@ def testpos_from_case():
 def testlatest_id():
     crd = "../test_files/recordings"
     path = os.path.join(thisdir, crd)
-    ref_path = os.path.join(path,'cases_20180621_111710.sql')
+    ref_path = os.path.join(path,'cases_20180703_152607.sql')
     assert latest_id(path) == ref_path
 
 def test_shuffle_positions_abs():

topfarm/utils.py

@@ -17,12 +17,10 @@ def pos_from_case(case_recorder_filename):
         string += case_recorder_filename
         raise Warning(string)
     cr = CaseReader(case_recorder_filename)
-    case_list = cr.driver_cases.list_cases()
-    case_len = len(case_list)
-    case_arg = 'rank0:SLSQP|{:d}'.format(case_len-1)
-    case = cr.driver_cases.get_case(case_arg)
-    x = np.array(case.desvars['turbineX'])
-    y = np.array(case.desvars['turbineY'])
+    driver_case = cr.driver_cases.get_case(-1)
+    desvars = driver_case.get_desvars()
+    x = np.array(desvars['turbineX'])
+    y = np.array(desvars['turbineY'])
     turbines = np.column_stack((x, y))
     return turbines
 
@@ -145,7 +143,7 @@ def _move_inside_boundary(n_wt, turbineX, turbineY, boundary_comp, pad):
 
 if __name__ == '__main__':
     this_dir = os.getcwd()
-    crf = r"tests\test_files\recordings\cases_20180621_111710.sql"
+    crf = r"tests\test_files\recordings\cases_20180703_152607.sql"
     case_recorder_filename = crf
     path = os.path.join(this_dir, crf)
     turbines = pos_from_case(path)