Differential D2716 Diff 9122 extern/audaspace/bindings/python/PyThreadPool.cpp

Changeset View

Standalone View

extern/audaspace/bindings/python/PyThreadPool.cpp

This file was added.

				/*******************************************************************************
				* 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);
				}