1 files changed, 0 insertions, 134 deletions
diff --git a/extern/audaspace/bindings/python/PyThreadPool.cpp b/extern/audaspace/bindings/python/PyThreadPool.cpp
deleted file mode 100644
index 75811f08273..00000000000
--- a/extern/audaspace/bindings/python/PyThreadPool.cpp
+++ /dev/null
@@ -1,134 +0,0 @@
-/*******************************************************************************
-* Copyright 2009-2015 Juan Francisco Crespo Galán
-*
-* Licensed under the Apache License, Version 2.0 (the "License");
-* you may not use this file except in compliance with the License.
-* You may obtain a copy of the License at
-*
-*   http://www.apache.org/licenses/LICENSE-2.0
-*
-* Unless required by applicable law or agreed to in writing, software
-* distributed under the License is distributed on an "AS IS" BASIS,
-* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-* See the License for the specific language governing permissions and
-* limitations under the License.
-******************************************************************************/
-
-#include "PyThreadPool.h"
-
-#include "Exception.h"
-#include "util/ThreadPool.h"
-
-extern PyObject* AUDError;
-
-static PyObject *
-ThreadPool_new(PyTypeObject* type, PyObject* args, PyObject* kwds)
-{
-	ThreadPoolP* self = (ThreadPoolP*)type->tp_alloc(type, 0);
-
-	if(self != nullptr)
-	{
-		unsigned int nThreads;
-		if(!PyArg_ParseTuple(args, "I:nThreads", &nThreads))
-			return nullptr;
-
-		try
-		{
-			self->threadPool = new std::shared_ptr<aud::ThreadPool>(new aud::ThreadPool(nThreads));
-		}
-		catch(aud::Exception& e)
-		{
-			Py_DECREF(self);
-			PyErr_SetString(AUDError, e.what());
-			return nullptr;
-		}
-	}
-
-	return (PyObject *)self;
-}
-
-static void
-ThreadPool_dealloc(ThreadPoolP* self)
-{
-	if(self->threadPool)
-		delete reinterpret_cast<std::shared_ptr<aud::ThreadPool>*>(self->threadPool);
-	Py_TYPE(self)->tp_free((PyObject *)self);
-}
-
-static PyMethodDef ThreadPool_methods[] = {
-	{ nullptr }  /* Sentinel */
-};
-
-PyDoc_STRVAR(M_aud_ThreadPool_doc,
-	"A ThreadPool is used to parallelize convolution efficiently.");
-
-PyTypeObject ThreadPoolType = {
-	PyVarObject_HEAD_INIT(nullptr, 0)
-	"aud.ThreadPool",						/* tp_name */
-	sizeof(ThreadPoolP),					/* tp_basicsize */
-	0,										/* tp_itemsize */
-	(destructor)ThreadPool_dealloc,			/* tp_dealloc */
-	0,										/* tp_print */
-	0,										/* tp_getattr */
-	0,										/* tp_setattr */
-	0,										/* tp_reserved */
-	0,										/* tp_repr */
-	0,										/* tp_as_number */
-	0,										/* tp_as_sequence */
-	0,										/* tp_as_mapping */
-	0,										/* tp_hash  */
-	0,										/* tp_call */
-	0,										/* tp_str */
-	0,										/* tp_getattro */
-	0,										/* tp_setattro */
-	0,										/* tp_as_buffer */
-	Py_TPFLAGS_DEFAULT,						/* tp_flags */
-	M_aud_ThreadPool_doc,					/* tp_doc */
-	0,										/* tp_traverse */
-	0,										/* tp_clear */
-	0,										/* tp_richcompare */
-	0,										/* tp_weaklistoffset */
-	0,										/* tp_iter */
-	0,										/* tp_iternext */
-	ThreadPool_methods,						/* tp_methods */
-	0,										/* tp_members */
-	0,										/* tp_getset */
-	0,										/* tp_base */
-	0,										/* tp_dict */
-	0,										/* tp_descr_get */
-	0,										/* tp_descr_set */
-	0,										/* tp_dictoffset */
-	0,										/* tp_init */
-	0,										/* tp_alloc */
-	ThreadPool_new,							/* tp_new */
-};
-
-AUD_API PyObject* ThreadPool_empty()
-{
-	return ThreadPoolType.tp_alloc(&ThreadPoolType, 0);
-}
-
-
-AUD_API ThreadPoolP* checkThreadPool(PyObject* threadPool)
-{
-	if(!PyObject_TypeCheck(threadPool, &ThreadPoolType))
-	{
-		PyErr_SetString(PyExc_TypeError, "Object is not of type ThreadPool!");
-		return nullptr;
-	}
-
-	return (ThreadPoolP*)threadPool;
-}
-
-
-bool initializeThreadPool()
-{
-	return PyType_Ready(&ThreadPoolType) >= 0;
-}
-
-
-void addThreadPoolToModule(PyObject* module)
-{
-	Py_INCREF(&ThreadPoolType);
-	PyModule_AddObject(module, "ThreadPool", (PyObject *)&ThreadPoolType);
-}