1 files changed, 0 insertions, 67 deletions
diff --git a/tests/rotate_test.py b/tests/rotate_test.py
deleted file mode 100644
index 92eff84..0000000
--- a/tests/rotate_test.py
+++ /dev/null
@@ -1,67 +0,0 @@
-import os
-import numpy as np
-from pycuda import autoinit
-from pycuda.compiler import SourceModule
-import pycuda.driver as cuda
-from pycuda import gpuarray
-float3 = gpuarray.vec.float3
-
-def rotate(x, phi, n):
-    x = np.asarray(x)
-    n = np.asarray(n)
-
-    r = np.cos(phi)*np.identity(3) + (1-np.cos(phi))*np.outer(n,n) + \
-        np.sin(phi)*np.array([[0,n[2],-n[1]],[-n[2],0,n[0]],[n[1],-n[0],0]])
-
-    return np.inner(x,r)
-
-print 'device %s' % autoinit.device.name()
-
-current_directory = os.path.split(os.path.realpath(__file__))[0]
-source_directory = current_directory + '/../src'
-
-source = open(current_directory + '/rotate_test.cu').read()
-
-mod = SourceModule(source, options=['-I' + source_directory], no_extern_c=True, cache_dir=False)
-
-rotate_gpu = mod.get_function('rotate')
-
-size = {'block': (100,1,1), 'grid': (1,1)}
-
-a = np.empty(size['block'][0], dtype=float3)
-n = np.empty(size['block'][0], dtype=float3)
-phi = np.random.random_sample(size=a.size).astype(np.float32)
-
-a['x'] = np.random.random_sample(size=a.size)
-a['y'] = np.random.random_sample(size=a.size)
-a['z'] = np.random.random_sample(size=a.size)
-
-n['x'] = np.random.random_sample(size=n.size)
-n['y'] = np.random.random_sample(size=n.size)
-n['z'] = np.random.random_sample(size=n.size)
-
-a['x'] = np.ones(a.size)
-a['y'] = np.zeros(a.size)
-a['z'] = np.zeros(a.size)
-
-n['x'] = np.zeros(n.size)
-n['y'] = np.zeros(n.size)
-n['z'] = np.ones(n.size)
-
-phi = np.array([np.pi/2]*a.size).astype(np.float32)
-
-def testrotate():
-    dest = np.empty(a.size, dtype=float3)
-    rotate_gpu(cuda.In(a), cuda.In(phi), cuda.In(n), cuda.Out(dest), **size)
-    for v, theta, w, rdest in zip(a,phi,n,dest):
-        r = rotate((v['x'], v['y'], v['z']), theta, (w['x'], w['y'], w['z']))
-        if not np.allclose(rdest['x'], r[0]) or \
-                not np.allclose(rdest['y'], r[1]) or \
-                not np.allclose(rdest['z'], r[2]):
-            print v
-            print theta
-            print w
-            print r
-            print rdest
-            assert False
-