vPython不影响

Question

我已经在运行mint18.264的Linux机器上安装了vpython7。在尝试导入visual时，使用iPython环境和python2.7.12收到以下回溯。在

In [1]: from visual import *
---------------------------------------------------------------------------
ValueError                                Traceback (most recent call last)
<ipython-input-1-96658a14bb68> in <module>()
----> 1 from visual import *

/usr/lib/python2.7/dist-packages/visual/__init__.pyc in <module>()
    64                                frame, pyramid, ellipsoid, curve, faces, convex, helix,
    65                                points, distant_light, local_light)
---> 66 from visual.ui import display
     67 import materials
     68 

/usr/lib/python2.7/dist-packages/visual/ui.py in <module>()
      1 import cvisual
      2 from primitives import distant_light, local_light
----> 3 import materials
      4 
      5 # Code to provide special initialization for a display object, and overloaded

/usr/lib/python2.7/dist-packages/visual/materials.py in <module>()
    150 texturePath = os.path.split( __file__ )[0] + "/"
    151 data = loadTGA(texturePath+"turbulence3") # the targa file is 512*512*3
--> 152 tx_turb3 = raw_texture( data=reshape(data,(64,64,64,3)), interpolate=True, mipmap=False )
    153 tx_wood = raw_texture( data=loadTGA(texturePath+"wood"), interpolate=True)
    154 

/usr/lib/python2.7/dist-packages/visual/materials.py in __init__(self, **kwargs)
     68         cvisual.texture.__init__(self)
     69         for key, value in kwargs.iteritems():
---> 70             self.__setattr__(key, value)
     71 
     72 class shader_material(cvisual.material):

ValueError: The truth value of an array with more than one element is ambiguous. Use a.any() or a.all()

我不知道为什么这个包裹拒绝正确进口。有人见过这个错误，知道原因吗？在

Answer 1

VPython看起来已经过时了。repository上次激活是在2012年，它有一个指向another repository的链接，该链接也已弃用：

This incarnation of VPython will not be developed further; see this announcement for an explanation and this history of the development of VPython. Development efforts are now focused on a Jupyter notebook-based version vpython-jupyter and an in-browser version that requires no local installation at all and runs on mobile devices, at glowscript.org.

我建议再次尝试上述的^{}，以获得最新的和最好的，并从那里开始工作。在