def __init__(self, data, param):
"""
two levels grid
"""
Grid_pure.__init__(self, data, param)
self.param.maxHeightHTree = 4
# compute the best grid size at level 1
if Params.FIX_GRANULARITY:
self.m = Params.PARTITION_AG[0]
else:
# print self.param.NDATA
# print self.param.Eps
# print Params.c
self.m = int(max(10, int(0.25 * math.ceil((self.param.NDATA * self.param.Eps / param.c) ** (1.0 / 2)))))
logging.debug("Grid_adaptive: Level 1 size: %d" % self.m)
def run_Grid_pure(self, param):
logging.debug('building Grid_pure...')
tree = Grid_pure(self.data, param)
start = time.clock()
tree.buildIndex()
if Params.CONSTRAINT_INFERENCE:
tree.adjustConsistency()
end = time.clock()
logging.info('[T] Grid_pure building time: %.2d ' % (end - start))
return self.query(tree)
def __init__(self, data, param):
Grid_pure.__init__(self, data, param)
# compute the best grid size
self.param.m = int(math.ceil((Params.NDATA * self.param.Eps / Params.c) ** (1.0 / 2)))
self.param.maxHeightHTree = 2
