def testDenseArrayMapperMetrics(self):
""" Test DenseArrayMapperMetric
"""
mask = N.ones((3,2))
mask[1,1] = 0
# take space with non-square elements
neighborFinder = DescreteMetric([0.5, 2])
map_ = DenseArrayMapper(mask, neighborFinder)
# test getNeighbors
# now it returns list of arrays
#target = [N.array([0, 0]), N.array([0, 1]),
# N.array([1, 0]), N.array([2, 0])]
#result = map_.getNeighborIn([0, 0], 2)
#self.failUnless(N.array(map(lambda x,y:(x==y).all(), result, target)).all())
# check by providing outId
target = [0,1,2,3]
result = map_.getNeighbors(0, 2.1)
self.failUnless( result == target )
map__ = DenseArrayMapper(mask, elementsize=[0.5, 2])
self.failUnless( map__.getNeighbors(0, 2.1) == target,
msg="DenseArrayMapper must accept elementsize parameter and set" +
" DescreteMetric accordingly")
self.failUnlessRaises(ValueError, DenseArrayMapper,
mask, elementsize=[0.5]*3)
"""DenseArrayMapper must raise exception when not appropriatly sized
def _testSelectReOrder(self):
"""
Test is desabled for now since if order is incorrect in
__debug__ we just spit out a warning - no exception
"""
mask = N.ones((3,3))
mask[1,1] = 0
data = N.arange(9).reshape(mask.shape)
map_ = DenseArrayMapper(mask)
oldneighbors = map_.forward(data)[map_.getNeighbors(0, radius=2)]
# just do place changes
# by default - we don't sort/check order so it would screw things
# up
map_.selectOut([7, 1, 2, 3, 4, 5, 6, 0])
# we check if an item new outId==7 still has proper neighbors
newneighbors = map_.forward(data)[map_.getNeighbors(7, radius=2)]
self.failUnless( (oldneighbors != newneighbors ).any())
