Changeset 6170


Ignore:
Timestamp:
Jan 14, 2009, 4:34:19 PM (10 years ago)
Author:
ole
Message:

Removed time limit test - it shouldn't be here

File:
1 edited

Legend:

Unmodified
Added
Removed
  • anuga_core/source/anuga/fit_interpolate/test_interpolate.py

    r6165 r6170  
    13281328                assert num.allclose(I(t, id), t*answer[id])
    13291329            t += 0.1   
    1330 
    1331 
    1332 
    1333     def test_interpolation_interface_with_time_limit(self):
    1334         """test_interpolation_interface_with_time_limit
    1335        
    1336         Test spatio-temporal interpolation
    1337         Test that spatio temporal function performs the correct
    1338         interpolations in both time and space
    1339         """
    1340 
    1341         #fixme: not done
    1342    
    1343         # Eight timesteps
    1344         time = [1.0, 2.0, 4.0, 5.0, 7.0, 8.0, 9.0, 10.0]   
    1345 
    1346         # Setup mesh used to represent fitted function
    1347         a = [0.0, 0.0]
    1348         b = [0.0, 2.0]
    1349         c = [2.0, 0.0]
    1350         d = [0.0, 4.0]
    1351         e = [2.0, 2.0]
    1352         f = [4.0, 0.0]
    1353 
    1354         points = [a, b, c, d, e, f]
    1355         # bac, bce, ecf, dbe
    1356         triangles = [[1,0,2], [1,2,4], [4,2,5], [3,1,4]]
    1357 
    1358 
    1359         # New datapoints where interpolated values are sought
    1360         interpolation_points = [[ 0.0, 0.0],
    1361                                 [ 0.5, 0.5],
    1362                                 [ 0.7, 0.7],
    1363                                 [ 1.0, 0.5],
    1364                                 [ 2.0, 0.4],
    1365                                 [ 2.8, 1.2]]
    1366 
    1367         # One quantity
    1368         Q = num.zeros((8,6), num.Float)
    1369 
    1370         # Linear in time and space
    1371         for i, t in enumerate(time):
    1372             Q[i, :] = t*linear_function(points)
    1373 
    1374         # Check interpolation of one quantity using interpolaton points) using default
    1375         # time_thinning of 1
    1376         I = Interpolation_function(time, Q,
    1377                                    vertex_coordinates=points,
    1378                                    triangles=triangles,
    1379                                    interpolation_points=interpolation_points,
    1380                                    verbose=False)
    1381 
    1382         answer = linear_function(interpolation_points)
    1383 
    1384        
    1385         t = time[0]
    1386         for j in range(90): #t in [1, 10]           
    1387             for id in range(len(interpolation_points)):
    1388                 assert num.allclose(I(t, id), t*answer[id])
    1389             t += 0.1   
    1390 
    1391 
    1392         # Now check time_thinning
    1393         I = Interpolation_function(time, Q,
    1394                                    vertex_coordinates=points,
    1395                                    triangles=triangles,
    1396                                    interpolation_points=interpolation_points,
    1397                                    time_thinning=2,
    1398                                    verbose=False)
    1399 
    1400 
    1401         assert len(I.time) == 4
    1402         assert num.allclose(I.time, [1.0, 4.0, 7.0, 9.0])
    1403 
    1404         answer = linear_function(interpolation_points)
    1405 
    1406         t = time[0]
    1407         for j in range(80): #t in [1, 9]                       
    1408             for id in range(len(interpolation_points)):
    1409                 assert num.allclose(I(t, id), t*answer[id])
    1410             t += 0.1   
    1411 
    14121330
    14131331
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