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'''
ray_color_ramps regression in 2.4
'''
from pymol import cmd, testing
class Test3494(testing.PyMOLTestCase):
def test(self):
cmd.fragment("gly", "m1")
cmd.color('blue')
cmd.color('yellow', 'elem C+O')
cmd.set("gaussian_resolution", 3.0)
cmd.set("gaussian_b_floor", 40)
cmd.map_new("map", "gaussian", 2.0, "m1", 5.0)
cmd.isosurface("isosurf", "map", 1.0)
cmd.ramp_new("ramp", "m1", [0, 5], ["atomic", "atomic"])
cmd.color("ramp", "isosurf")
cmd.disable("*")
cmd.enable("isosurf")
cmd.set_view((\
0.696023464, 0.704662204, 0.137847140,\
-0.434485614, 0.260496944, 0.862185299,\
0.571640551, -0.659994185, 0.487477839,\
-0.000000065, -0.000000011, -22.690608978,\
0.078630894, -0.295513719, 0.061826922,\
17.590608597, 27.790609360, -20.000000000 ))
self.ambientOnly()
# PyMOL 2.4 has >3000 mismatch pixels
# The 312 pixels are outline pixels (ffast-math differences?)
# Delta=1 needed for older builds to pass (ffast-math differences?)
cmd.set("ray_color_ramps", 0)
img = self.get_imagearray(width=100, height=100, ray=1)
# Test is not compatible with different isosurface_algorithm settings
# self.assertImageEqual("PYMOL-3494-ray_color_ramps-0.png", img, delta=1)
# 258 colors observed in gradient
self.assertTrue(self.imageCountColors(img) > 250)
cmd.set("ray_color_ramps", 1)
img = self.get_imagearray(width=100, height=100, ray=1)
# Test is not compatible with different isosurface_algorithm settings
# self.assertImageEqual("PYMOL-3494-ray_color_ramps-1.png", img, delta=1, count=312)
# 2 discrete colors + 1 background color
self.assertEqual(self.imageCountColors(img), 3)
@testing.foreach(1, 2)
@testing.requires_version('2.5')
def testIsosurfaceAlgorithm(self, isosurface_algorithm):
cmd.set("isosurface_algorithm", isosurface_algorithm)
self.test()
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