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1 # 2 # Last modified on Tue Sep 4 17:02:59 PDT 2001 by lindy 3 # 4 # $Header: /opt/cvs/python/packages/share1.5/mglutil/math/ncoordstest.py,v 1.1 2001/09/06 19:11:48 lindy Exp $ 5 # 6 7 """Unit test for ncoords.py 8 9 Requirements for ncoords.py: 10 A. __init__: 11 1. make Numeric, homogenious coordinates out of refCoords 12 2. raise ValueError if refCoords is bad 13 B. reset(): 14 3. nx3 slice of resultCoords must be equal to refCoords 15 C. getResultCoords: 16 4. return nx3 (not nx4) coordinates 17 5. return as Numeric.array or ListType accorinding to self.tolist 18 """ 19 20 from mglutil.math.ncoords import Ncoords 21 import unittest, math 22 import Numeric, RandomArray 23 24 25 2641 42 4329 """Called for every test.""" 30 31 npts = 500 32 dim = 3 33 self.max = 9999999. 34 self.min = -self.max 35 self.random_points = RandomArray.uniform(self.min, 36 self.max, (npts,dim)).tolist()37 3840 pass45 4698 99 100 101 if __name__ == '__main__': 102 unittest.main() 103 104 # for example: 105 # py mglutil/math/ncoordstest.py -v 106 # or, to redirect output to a file: 107 # py ncoordstest.py -v > & ! /tmp/nct.out 10848 """__init__ -- make refCoords and resultCoords homogeneous""" 49 n = len(self.random_points) 50 ncoords = Ncoords( self.random_points) ### tested call ### 51 # confirm shape to be nx4 52 self.assertEqual( (n, 4), Numeric.shape(ncoords.resultCoords)) 53 self.assertEqual( (n, 4), Numeric.shape(ncoords.refCoords)) 54 # cofirm that the last column is all ones 55 self.assertEqual(Numeric.ones(n).tolist(), 56 ncoords.resultCoords[:,3].tolist()) 57 self.assertEqual(Numeric.ones(n).tolist(), 58 ncoords.refCoords[:,3].tolist())59 6062 """__init__ -- ValueError on bad input""" 63 self.assertRaises(ValueError, Ncoords, range(10)) 64 self.assertRaises(ValueError, Ncoords, [(1,1,1),(1,1)] )65 6668 """reset -- points equal input values after reset""" 69 nc = Ncoords( self.random_points, tolist=1) 70 nc.reset() ### tested call ### 71 result = nc.getResultCoords() 72 # compare input and output point lists 73 self.assertEqual( self.random_points, result)74 7577 """getResultCoords -- if tolist: return nx3 ListType""" 78 n = len(self.random_points) 79 nc = Ncoords(self.random_points, tolist=0) 80 nc.tolist=1 81 result = nc.getResultCoords() ### tested call ### 82 # confirm shape 83 self.assertEqual((n, 3), Numeric.shape(result)) 84 # confirm type 85 self.assertEqual(type([]), type(result))86 8789 """getResultCoords -- if not tolist: return nx4 Numeric.array""" 90 n = len(self.random_points) 91 nc = Ncoords(self.random_points, tolist=1) 92 nc.tolist=0 93 result = nc.getResultCoords() ### tested call ### 94 # confirm shape 95 self.assertEqual((n, 4), Numeric.shape(result)) 96 # confirm type 97 self.assertEqual(type(Numeric.array([])), type(result))
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