781dd5edb5
All these files were removed since accidental commit, revert and merge in 2.8. ea31f0ac3b877e + 0a4e170c28cec + 11f9a23a286c17f + 7b27b10fa6a6
135 lines
3.5 KiB
C++
135 lines
3.5 KiB
C++
/*******************************************************************************
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* Copyright 2009-2015 Juan Francisco Crespo Galán
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*
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* Licensed under the Apache License, Version 2.0 (the "License");
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* you may not use this file except in compliance with the License.
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* You may obtain a copy of the License at
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*
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* http://www.apache.org/licenses/LICENSE-2.0
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*
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* Unless required by applicable law or agreed to in writing, software
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* distributed under the License is distributed on an "AS IS" BASIS,
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* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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* See the License for the specific language governing permissions and
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* limitations under the License.
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******************************************************************************/
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#include "PyThreadPool.h"
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#include "Exception.h"
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#include "util/ThreadPool.h"
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extern PyObject* AUDError;
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static PyObject *
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ThreadPool_new(PyTypeObject* type, PyObject* args, PyObject* kwds)
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{
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ThreadPoolP* self = (ThreadPoolP*)type->tp_alloc(type, 0);
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if(self != nullptr)
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{
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unsigned int nThreads;
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if(!PyArg_ParseTuple(args, "I:nThreads", &nThreads))
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return nullptr;
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try
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{
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self->threadPool = new std::shared_ptr<aud::ThreadPool>(new aud::ThreadPool(nThreads));
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}
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catch(aud::Exception& e)
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{
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Py_DECREF(self);
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PyErr_SetString(AUDError, e.what());
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return nullptr;
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}
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}
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return (PyObject *)self;
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}
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static void
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ThreadPool_dealloc(ThreadPoolP* self)
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{
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if(self->threadPool)
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delete reinterpret_cast<std::shared_ptr<aud::ThreadPool>*>(self->threadPool);
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Py_TYPE(self)->tp_free((PyObject *)self);
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}
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static PyMethodDef ThreadPool_methods[] = {
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{ nullptr } /* Sentinel */
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};
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PyDoc_STRVAR(M_aud_ThreadPool_doc,
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"A ThreadPool is used to parallelize convolution efficiently.");
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PyTypeObject ThreadPoolType = {
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PyVarObject_HEAD_INIT(nullptr, 0)
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"aud.ThreadPool", /* tp_name */
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sizeof(ThreadPoolP), /* tp_basicsize */
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0, /* tp_itemsize */
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(destructor)ThreadPool_dealloc, /* tp_dealloc */
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0, /* tp_print */
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0, /* tp_getattr */
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0, /* tp_setattr */
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0, /* tp_reserved */
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0, /* tp_repr */
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0, /* tp_as_number */
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0, /* tp_as_sequence */
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0, /* tp_as_mapping */
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0, /* tp_hash */
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0, /* tp_call */
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0, /* tp_str */
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0, /* tp_getattro */
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0, /* tp_setattro */
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0, /* tp_as_buffer */
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Py_TPFLAGS_DEFAULT, /* tp_flags */
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M_aud_ThreadPool_doc, /* tp_doc */
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0, /* tp_traverse */
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0, /* tp_clear */
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0, /* tp_richcompare */
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0, /* tp_weaklistoffset */
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0, /* tp_iter */
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0, /* tp_iternext */
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ThreadPool_methods, /* tp_methods */
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0, /* tp_members */
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0, /* tp_getset */
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0, /* tp_base */
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0, /* tp_dict */
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0, /* tp_descr_get */
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0, /* tp_descr_set */
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0, /* tp_dictoffset */
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0, /* tp_init */
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0, /* tp_alloc */
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ThreadPool_new, /* tp_new */
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};
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AUD_API PyObject* ThreadPool_empty()
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{
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return ThreadPoolType.tp_alloc(&ThreadPoolType, 0);
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}
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AUD_API ThreadPoolP* checkThreadPool(PyObject* threadPool)
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{
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if(!PyObject_TypeCheck(threadPool, &ThreadPoolType))
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{
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PyErr_SetString(PyExc_TypeError, "Object is not of type ThreadPool!");
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return nullptr;
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}
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return (ThreadPoolP*)threadPool;
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}
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bool initializeThreadPool()
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{
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return PyType_Ready(&ThreadPoolType) >= 0;
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}
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void addThreadPoolToModule(PyObject* module)
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{
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Py_INCREF(&ThreadPoolType);
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PyModule_AddObject(module, "ThreadPool", (PyObject *)&ThreadPoolType);
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}
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