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