_eZdZdZddlZ ddlZddlmZddlm Z ddl m Z ddl m Z mZGd d ejZ ej"d gd d ZdZede j,ede j.ede j0eee j2eee j4ede j6ede j6ede j8ede j:ddi Zie j,ede j.ede j0ede j8ede j2eee j:ede j6ede j4eee j>eddddeddeddeddedd ed deddedededdZ y#e$rZedezdZ[wwxYw#e$rZd ZdZYdZ[dZ[wwxYw)aBuffer based Numpy plugin (not used) This API is no more useful than the direct Numpy version, as Numpy already gives us the details we need *when using the accelerator module* at a low level, with very fast access. When using the non-accelerated version the ctypes version *might* show some performance benefits, but it's not going to be fast no matter what we do without C-level code. numpybuffersNzNo numpy module present: %s)buffers)_types)GL_1_1)constanterrorcLeZdZedZedfd ZeddZxZS) NumpyHandlerc<tj|t|S)z)Return Numpy array of zeros in given size)numpyzerosGL_TYPE_TO_ARRAY_MAPPING)clsdimstypeCodes rOs @" ("9CG))9CtEKK!cJ 1f&&foofmm V__ f66f--f--fnnf,,$  k#& OOK$ MM;s# NNK$   OO[,   K,  [- k+6 k#& $S S S S S  S !"S #$ S  S 'o@ 8#> ??@FJKs.G>H>H HHH*H%%H*