Accepting request 880827 from home:bnavigator:branches:devel:languages:python

- Don't build the numpy formathandler for python36.
  NumPy is optional and not available for python36 on Tumbleweed.
- Add test files test_arraydatatypeaccel.py and test_numpyaccel.py

OBS-URL: https://build.opensuse.org/request/show/880827
OBS-URL: https://build.opensuse.org/package/show/devel:languages:python/python-opengl-accelerate?expand=0&rev=16

test_arraydatatypeaccel.py

@@ -0,0 +1,107 @@
+import unittest, ctypes
+from OpenGL.arrays import arraydatatype as adt
+from OpenGL.arrays import vbo
+from OpenGL import GL
+from OpenGL._bytes import integer_types
+try:
+    import numpy 
+except ImportError:
+    numpy = None
+
+class _BaseTest( object ):
+    def setUp( self ):
+        self.handler = adt.ArrayDatatype
+        assert self.handler.isAccelerated
+    def test_from_param( self ):
+        p = self.handler.from_param( self.array )
+        assert isinstance( p, ctypes.c_void_p )
+    def test_dataPointer( self ):
+        p = self.handler.dataPointer( self.array )
+        assert isinstance( p, integer_types)
+    def test_arraySize( self ):
+        p = self.handler.arraySize( self.array )
+        assert p == 6, p
+    def test_arrayByteCount( self ):
+        p = self.handler.arrayByteCount( self.array )
+        assert p == 24, p
+    def test_asArray( self ):
+        p = self.handler.asArray( self.array )
+        assert p is self.array 
+    def test_unitSize( self ):
+        p = self.handler.unitSize( self.array )
+        assert p == 3, p
+    def test_dimensions( self ):
+        p = self.handler.dimensions( self.array )
+        assert p == (2,3), p
+    
+    def test_arrayToGLType( self ):
+        p = self.handler.arrayToGLType( self.array )
+        assert p == GL.GL_FLOAT
+
+if numpy:
+    # Skip if modifies the functions, which are *shared* between the 
+    # classes...
+    #@pytest.mark.skipif( not numpy, reason="Numpy not available")
+    class TestNumpy( _BaseTest, unittest.TestCase ):
+        def setUp( self ):
+            self.array = numpy.array( [[1,2,3],[4,5,6]],'f')
+            super(TestNumpy,self).setUp()
+        def test_dataPointer( self ):
+            p = self.handler.dataPointer( self.array )
+            assert isinstance( p, integer_types)
+            assert p == self.array.ctypes.data
+        def test_zeros( self ):
+            p = self.handler.zeros( (2,3,4), 'f' )
+            assert p.shape == (2,3,4)
+            assert p.dtype == numpy.float32
+        def test_asArrayConvert( self ):
+            p = self.handler.asArray( self.array, GL.GL_DOUBLE )
+            assert p is not self.array 
+            assert p.dtype == numpy.float64
+            p = self.handler.asArray( self.array, 'd' )
+            assert p is not self.array 
+            assert p.dtype == numpy.float64
+        def test_zeros_typed( self ):
+            z = self.handler.zeros( (2,3,4), GL.GL_FLOAT)
+            assert z.shape == (2,3,4)
+            assert z.dtype == numpy.float32
+        def test_downconvert( self ):
+            p = self.handler.asArray( numpy.array( [1,2,3],'d'), GL.GL_FLOAT )
+            assert p.dtype == numpy.float32
+        def test_zeros_small( self ):
+            z = self.handler.zeros( 0, GL.GL_BYTE )
+            assert z.dtype == numpy.byte, z
+
+class TestVBO( _BaseTest, unittest.TestCase ):
+    def setUp( self ):
+        if numpy:
+            self.array = vbo.VBO(numpy.array( [[1,2,3],[4,5,6]],'f'))
+        else:
+            self.array = vbo.VBO(adt.GLfloatArray.asArray([[1,2,3],[4,5,6]]))
+        super(TestVBO,self).setUp()
+
+class TestVBOOffset( _BaseTest, unittest.TestCase ):
+    def setUp( self ):
+        if numpy:
+            self.array = vbo.VBO(numpy.array( [[1,2,3],[4,5,6]],'f')) + 12
+        else:
+            self.array = vbo.VBO(adt.GLfloatArray.asArray([[1,2,3],[4,5,6]])) + 12
+        super(TestVBOOffset,self).setUp()
+        
+class TestNones( unittest.TestCase ):
+    def setUp( self ):
+        self.array = None
+        self.handler = adt.ArrayDatatype
+        assert self.handler.isAccelerated
+    def test_from_param( self ):
+        p = self.handler.from_param( self.array )
+        assert p is None, p
+    def test_dataPointer( self ):
+        p = self.handler.dataPointer( self.array )
+        assert p is None
+    def test_asArray( self ):
+        p = self.handler.asArray( self.array )
+        assert p is self.array 
+    def test_dimensions( self ):
+        p = self.handler.dimensions( self.array )
+        assert p == (0,), p