def getPoissonGap(params):
dimensions = params['dimensions']
if len(dimensions) != 1:
raise ValueError("poisson gap algorithm only implemented for one dimension")
dim1 = dimensions[0]
low,high = dim1['range']
numGeneratedPoints = params['numGeneratedPoints']
return pg.getGenerator(low, high, numGeneratedPoints)
def getPoissonGap(params):
dimensions = params['dimensions']
if len(dimensions) != 1:
raise ValueError(
"poisson gap algorithm only implemented for one dimension")
dim1 = dimensions[0]
low, high = dim1['range']
numGeneratedPoints = params['numGeneratedPoints']
return pg.getGenerator(low, high, numGeneratedPoints)
def testTooManyPoints(self):
(low, high) = 1, 100
points = pg.getGenerator(low, high, 500)()
self.assertEqual(len(points), 500,
"incorrect number of points generated")
def testBoundsBig(self):
(low, high) = 1, 10000
points = pg.getGenerator(low, high, 283)()
myBool = all([c[0] >= low and c[0] <= high for c in points])
self.assertTrue(myBool,
"points not within boundaries -- bigger example")
def setUp(self):
self.low = -4
self.high = 51
self.numPoints = 34
gen = pg.getGenerator(self.low, self.high, self.numPoints)
self.points = gen()
def testTooManyPoints(self):
(low, high) = 1, 100
points = pg.getGenerator(low, high, 500)()
self.assertEqual(len(points), 500, "incorrect number of points generated")
def testBoundsBig(self):
(low, high) = 1, 10000
points = pg.getGenerator(low, high, 283)()
myBool = all([c[0] >= low and c[0] <= high for c in points])
self.assertTrue(myBool, "points not within boundaries -- bigger example")
def setUp(self):
self.low = -4
self.high = 51
self.numPoints = 34
gen = pg.getGenerator(self.low, self.high, self.numPoints)
self.points = gen()