# test the bbox all bounding functions boxes = [rand_bbox() for i in range(20)] xmin = min([box.xmin() for box in boxes]) xmax = max([box.xmax() for box in boxes]) ymin = min([box.ymin() for box in boxes]) ymax = max([box.ymax() for box in boxes]) box = bbox_all(boxes) assert( closeto_seq( box.get_bounds(), (xmin, ymin, xmax-xmin, ymax-ymin))) t1 = rand_transform() oboundsx = t1.get_bbox1().intervalx().get_bounds() oboundsy = t1.get_bbox1().intervaly().get_bounds() t2 = copy_bbox_transform(t1) t1.get_bbox1().intervalx().set_bounds(1,2) t2.get_bbox2().intervaly().set_bounds(-1,12) newboundsx = t2.get_bbox1().intervalx().get_bounds() newboundsy = t2.get_bbox1().intervaly().get_bounds() assert(oboundsx==newboundsx) assert(oboundsy==newboundsy) import math polar = FuncXY(POLAR) assert( closeto_seq( polar.map(math.pi,1), (-1,0)) ) assert( closeto_seq( polar.inverse(1,1), ( (math.pi/4), math.sqrt(2))) ) print 'all tests passed'
transform_bbox(transform, unit_bbox()).get_bounds(), (-10, -10, 210, 50))) # test the bbox all bounding functions boxes = [rand_bbox() for i in range(20)] xmin = min([box.xmin() for box in boxes]) xmax = max([box.xmax() for box in boxes]) ymin = min([box.ymin() for box in boxes]) ymax = max([box.ymax() for box in boxes]) box = bbox_all(boxes) assert (closeto_seq(box.get_bounds(), (xmin, ymin, xmax - xmin, ymax - ymin))) t1 = rand_transform() oboundsx = t1.get_bbox1().intervalx().get_bounds() oboundsy = t1.get_bbox1().intervaly().get_bounds() t2 = copy_bbox_transform(t1) t1.get_bbox1().intervalx().set_bounds(1, 2) t2.get_bbox2().intervaly().set_bounds(-1, 12) newboundsx = t2.get_bbox1().intervalx().get_bounds() newboundsy = t2.get_bbox1().intervaly().get_bounds() assert (oboundsx == newboundsx) assert (oboundsy == newboundsy) import math polar = FuncXY(POLAR) assert (closeto_seq(polar.map(math.pi, 1), (-1, 0))) assert (closeto_seq(polar.inverse(1, 1), ((math.pi / 4), math.sqrt(2)))) # This unit test requires "nan", which numarray.ieeespecial # exports. (But we can keep using the numerix module.)