def class_load_test():
(lib_path, jvm_path, switches) = jvm_util.start_jvm()
jar_list = glob.glob(lib_path)
ok_(len(jar_list) > 0, 'Can not find the jar file, please build it before testing')
Node = JPackage('net').epsilony.tsmf.model.Node
ok_(Node.__name__ == 'net.epsilony.tsmf.model.Node', 'Can\'t load class Node properly')
def plot_jpolygon(pg, ax, *args, **kwds):
vertes = pg.getVertes()
xys = []
codes = []
for act_vs in vertes:
atBegin = True
for nd in act_vs:
xys.append(nd.coord)
if atBegin:
codes.append(Path.MOVETO)
atBegin = False
else:
codes.append(Path.LINETO)
codes.append(Path.CLOSEPOLY)
xys.append((0, 0))
pp = PathPatch(Path(xys, codes), *args, **kwds)
ax.add_patch(pp)
if __name__ == "__main__":
from terse_demo.util.jvm_util import start_jvm
from jpype import JClass
start_jvm()
JTestTool = JClass('net.epsilony.tsmf.util.TestTool')
pg = JTestTool.samplePolygon(None)
from matplotlib import pyplot as plt
fig = plt.figure()
ax = fig.add_subplot(111)
plot_jpolygon(pg, ax)
fig.show()
'''
Created on 2012-12-22
@author: Man YUAN <*****@*****.**>
'''
import numpy as np
from terse_demo.util import jvm_util
from jpype import JPackage,JArray,JDouble
from terse_proto.tsmf.model import Polygon2D
jvm_util.start_jvm(8998)
JPolygon2D=JPackage('net').epsilony.tsmf.model.Polygon2D
def sample_vertes_xys():
return np.array([[[0, 0], [1, 0], [1, 1],[0.5,0.5],[0,1]]],dtype=np.double)
if __name__ == '__main__':
pg_j = JPolygon2D.byCoordChains(sample_vertes_xys().tolist())
dist_func_j=np.frompyfunc(lambda x,y:pg_j.distanceFunc(x,y),2,1)
pg_py = Polygon2D(sample_vertes_xys())
dist_func_py=np.frompyfunc(lambda x,y:pg_py.distance_function((x,y)),2,1)
xs=np.linspace(-0.5,1.5,100)
ys=np.linspace(-0.5,1.5,100)
(g_xs,g_ys)=np.meshgrid(xs, ys)
g_zs_j=dist_func_j(g_xs,g_ys)
"""
Created on 2013-1-25
@author: Man YUAN <*****@*****.**>
"""
from terse_demo.util.jvm_util import start_jvm
start_jvm(8998)
from jpype import JClass
import numpy as np
from matplotlib import pyplot as plt
def plot_vs_by_y(pp, ax, y):
xs = np.linspace(0.01, 48 - 0.01)
ys = np.zeros_like(xs, dtype=np.double) + y
plot_uvs(pp, ax, xs, ys)
def plot_uvs(pp, ax, xs, ys, axis=None, is_vs=True):
if len(xs) != len(ys):
raise ValueError("xs and ys should have same length")
pp.setDiffOrder(0)
act_uvs = []
for i in xrange(len(xs)):
xy = np.array((xs[i], ys[i]), dtype=np.double)
uv = pp.value(xy, None)
if is_vs:
act_uvs.append(uv[1])
else:
