Changeset 2659
 Timestamp:
 Apr 5, 2006, 11:22:10 AM (17 years ago)
 Location:
 inundation/fit_interpolate
 Files:

 2 edited
Legend:
 Unmodified
 Added
 Removed

inundation/fit_interpolate/interpolate.py
r2655 r2659 265 265 """ 266 266 z = self._A * f 267 for i in self.outside_poly_indices: # Taking into account points outside the 268 # mesh. 269 z[i,:] = INF 267 # Taking into account points outside the mesh. 268 #print "self.outside_poly_indices", self.outside_poly_indices 269 #print "self.inside_poly_indices", self.inside_poly_indices 270 #print "z", z 271 #print "z.size", z.size 272 for i in self.outside_poly_indices: 273 z[i] = INF 270 274 return z 271 275 … … 511 515 #Use precomputed point 512 516 Q0 = Q[self.index, point_id] 513 if ratio > 0: Q1 = Q[self.index+1, point_id] 514 517 if ratio > 0: 518 Q1 = Q[self.index+1, point_id] 519 515 520 #Linear temporal interpolation 516 521 if ratio > 0: 517 q[i] = Q0 + ratio*(Q1  Q0) 522 if Q0 == INF and Q1 == INF: 523 q[i] = Q0 524 else: 525 q[i] = Q0 + ratio*(Q1  Q0) 518 526 else: 519 527 q[i] = Q0 
inundation/fit_interpolate/test_interpolate.py
r2655 r2659 727 727 # interpolations in both time and space 728 728 729 730 729 #Three timesteps 731 time = [1.0, 5.0, 6.0] 732 730 time = [1.0, 5.0, 6.0] 733 731 734 732 #Setup mesh used to represent fitted function … … 753 751 [ 2.8, 1.2]] 754 752 755 756 753 #One quantity 757 754 Q = zeros( (3,6), Float ) … … 760 757 for i, t in enumerate(time): 761 758 Q[i, :] = t*linear_function(points) 762 763 759 764 760 #Check interpolation of one quantity using interpolaton points) … … 769 765 verbose = False) 770 766 771 772 767 answer = linear_function(interpolation_points) 773 768 … … 776 771 for id in range(len(interpolation_points)): 777 772 assert allclose(I(t, id), t*answer[id]) 778 779 773 t += 0.1 780 774 … … 787 781 788 782 789 def test_points_outside_the_polygon(self): 790 a = [1.0, 0.0] 791 b = [3.0, 4.0] 792 c = [4.0, 1.0] 793 d = [3.0, 2.0] #3 794 e = [1.0, 2.0] 795 f = [1.0, 2.0] #5 796 797 vertices = [a, b, c, d,e,f] 798 triangles = [[0,1,3], [1,0,2], [0,4,5], [0,5,2]] #abd bac aef afc 799 800 point_coords = [[2.0, 2.0], 801 [1.0, 1.0], 802 [0.0, 2.0], 803 [1.0, 1.0], 804 [2.0, 1.0], 805 [0.0, 0.0], 806 [1.0, 0.0], 807 [0.0, 1.0], 808 [0.2, 0.5], 809 [0.9, 1.5], 810 [0.5, 1.9], 811 [999999, 9999999]] # point Outside poly 812 geo_data = Geospatial_data(data_points = point_coords) 813 814 interp = Interpolate(vertices, triangles) 815 f = array([linear_function(vertices),2*linear_function(vertices) ]) 816 f = transpose(f) 817 #print "f",f 818 z = interp.interpolate(f, geo_data) 819 #z = interp.interpolate(f, point_coords) 820 answer = [linear_function(point_coords), 821 2*linear_function(point_coords) ] 822 answer = transpose(answer) 823 answer[11,:] = [INF, INF] 824 #print "z",z 825 #print "answer _ fixed",answer 826 assert allclose(z[0:10], answer[0:10]) 827 self.failUnless( z[11,1] == answer[11,1], 'Fail!') 828 self.failUnless( z[11,0] == answer[11,0], 'Fail!') 829 830 783 def test_interpolation_function_outside_point(self): 784 # Test spatiotemporal interpolation 785 # Test that spatio temporal function performs the correct 786 # interpolations in both time and space 787 788 #Three timesteps 789 time = [1.0, 5.0, 6.0] 790 791 #Setup mesh used to represent fitted function 792 a = [0.0, 0.0] 793 b = [0.0, 2.0] 794 c = [2.0, 0.0] 795 d = [0.0, 4.0] 796 e = [2.0, 2.0] 797 f = [4.0, 0.0] 798 799 points = [a, b, c, d, e, f] 800 #bac, bce, ecf, dbe 801 triangles = [[1,0,2], [1,2,4], [4,2,5], [3,1,4]] 802 803 804 #New datapoints where interpolated values are sought 805 interpolation_points = [[ 0.0, 0.0], 806 [ 0.5, 0.5], 807 [ 0.7, 0.7], 808 [ 1.0, 0.5], 809 [ 2.0, 0.4], 810 [ 545354534, 4354354353]] # outside the mesh 811 812 #One quantity 813 Q = zeros( (3,6), Float ) 814 815 #Linear in time and space 816 for i, t in enumerate(time): 817 Q[i, :] = t*linear_function(points) 818 819 #Check interpolation of one quantity using interpolaton points) 820 I = Interpolation_function(time, Q, 821 vertex_coordinates = points, 822 triangles = triangles, 823 interpolation_points = interpolation_points, 824 verbose = False) 825 826 answer = linear_function(interpolation_points) 827 828 t = time[0] 829 for j in range(50): #t in [1, 6] 830 for id in range(len(interpolation_points)1): 831 assert allclose(I(t, id), t*answer[id]) 832 t += 0.1 833 834 # Now test the point outside the mesh 835 t = time[0] 836 for j in range(50): #t in [1, 6] 837 self.failUnless(I(t, 5) == INF, 'Fail!') 838 t += 0.1 839 840 try: 841 I(1) 842 except: 843 pass 844 else: 845 raise 'Should raise exception' 846 831 847 def test_points_outside_the_polygon(self): 832 848 a = [1.0, 0.0] … … 877 893 if __name__ == "__main__": 878 894 879 #suite = unittest.makeSuite(Test_Interpolate,'test')880 895 suite = unittest.makeSuite(Test_Interpolate,'test') 881 896 #suite = unittest.makeSuite(Test_Interpolate,'test_points_outside_the_polygon')
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