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https://github.com/baldurk/renderdoc.git
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9db71b803a
* Previously we would convert from python to C++ arrays immediately by copying, and vice-versa convert TO python immediately by creating a new python list by copying. * This however behaves rather poorly in common situations, e.g.: > foo.bar.append(5) Would not append 5 to foo.bar, but copy foo.bar to a temporary, append 5 to it, then destroy it leaving foo.bar untouched. * Instead we leave the C++ array type as a pointer for as long as we can and instead implement the python sequence API as extensions/slots that work in-place on the original array.
216 lines
6.7 KiB
C++
216 lines
6.7 KiB
C++
/******************************************************************************
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* The MIT License (MIT)
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*
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* Copyright (c) 2017 Baldur Karlsson
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*
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* Permission is hereby granted, free of charge, to any person obtaining a copy
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* of this software and associated documentation files (the "Software"), to deal
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* in the Software without restriction, including without limitation the rights
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* to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
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* copies of the Software, and to permit persons to whom the Software is
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* furnished to do so, subject to the following conditions:
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*
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* The above copyright notice and this permission notice shall be included in
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* all copies or substantial portions of the Software.
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*
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* THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
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* IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
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* FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
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* AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
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* LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
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* OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN
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* THE SOFTWARE.
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******************************************************************************/
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#pragma once
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// this is defined elsewhere for managing the opaque global_handle object
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extern "C" PyThreadState *GetExecutingThreadState(PyObject *global_handle);
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extern "C" void HandleException(PyObject *global_handle);
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extern "C" bool IsThreadBlocking(PyObject *global_handle);
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extern "C" void SetThreadBlocking(PyObject *global_handle, bool block);
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struct ExceptionHandling
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{
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bool failFlag = false;
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PyObject *exObj = NULL;
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PyObject *valueObj = NULL;
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PyObject *tracebackObj = NULL;
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};
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// this function handles failures in callback functions. If we're synchronously calling the callback
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// from within an execute scope, then we can assign to failflag and let the error propagate upwards.
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// If we're not, then the callback is being executed on another thread with no knowledge of python,
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// so we need to use the global handle to try and emit the exception through the context. None of
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// this is multi-threaded because we're inside the GIL at all times
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inline void HandleCallbackFailure(PyObject *global_handle, ExceptionHandling &exHandle)
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{
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// if there's no global handle assume we are not running in the usual environment, so there are no
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// external-to-python threads
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if(!global_handle)
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{
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exHandle.failFlag = true;
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return;
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}
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PyThreadState *current = PyGILState_GetThisThreadState();
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PyThreadState *executing = GetExecutingThreadState(global_handle);
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// we are executing synchronously, set the flag and return
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if(current == executing)
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{
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exHandle.failFlag = true;
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return;
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}
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// if we have the blocking flag set, then we may be on another thread but we can still propagate
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// up the error
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if(IsThreadBlocking(global_handle))
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{
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exHandle.failFlag = true;
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// we need to rethrow the exception to that thread, so fetch (and clear it) on this thread.
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//
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// Note that the exception can only propagate up to one place. However since we know that python
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// is inherently single threaded, so if we're doing this blocking funciton call on another
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// thread then we *know* there isn't python further up the stack. Therefore we're safe to
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// swallow the exception here (since there's nowhere for it to bubble up to anyway) and rethrow
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// on the python thread.
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PyErr_Fetch(&exHandle.exObj, &exHandle.valueObj, &exHandle.tracebackObj);
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return;
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}
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// in this case we are executing asynchronously, and must handle the exception manually as there's
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// nothing above us that knows about python exceptions
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HandleException(global_handle);
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}
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template <typename T>
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inline T get_return(const char *funcname, PyObject *result, PyObject *global_handle,
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ExceptionHandling &exHandle)
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{
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T val = T();
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int res = ConvertToPy(result, val);
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if(!SWIG_IsOK(res))
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{
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HandleCallbackFailure(global_handle, exHandle);
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PyErr_Format(PyExc_TypeError, "Expected a '%s' for return value of callback in %s",
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TypeName<T>(), funcname);
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}
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Py_XDECREF(result);
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return val;
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}
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template <>
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inline void get_return(const char *funcname, PyObject *result, PyObject *global_handle,
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ExceptionHandling &exHandle)
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{
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Py_XDECREF(result);
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}
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template <typename rettype, typename... paramTypes>
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struct varfunc
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{
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varfunc(const char *funcname, paramTypes... params)
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{
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args = PyTuple_New(sizeof...(paramTypes));
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currentarg = 0;
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// avoid unused parameter errors when calling a parameter-less function
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(void)funcname;
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using expand_type = int[];
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(void)expand_type{0, (push_arg(funcname, params), 0)...};
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}
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template <typename T>
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void push_arg(const char *funcname, const T &arg)
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{
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if(!args)
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return;
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PyObject *obj = ConvertToPy(arg);
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if(!obj)
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{
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Py_DecRef(args);
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args = NULL;
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PyErr_Format(PyExc_TypeError, "Unexpected type for arg %d of callback in %s", currentarg + 1,
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funcname);
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return;
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}
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PyTuple_SetItem(args, currentarg++, obj);
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}
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~varfunc() { Py_XDECREF(args); }
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rettype call(const char *funcname, PyObject *func, PyObject *global_handle,
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ExceptionHandling &exHandle)
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{
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if(!func || func == Py_None || !PyCallable_Check(func) || !args)
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{
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HandleCallbackFailure(global_handle, exHandle);
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return rettype();
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}
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PyObject *result = PyObject_Call(func, args, 0);
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if(result == NULL)
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HandleCallbackFailure(global_handle, exHandle);
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Py_DECREF(args);
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return get_return<rettype>(funcname, result, global_handle, exHandle);
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}
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int currentarg = 0;
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PyObject *args;
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};
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struct ScopedFuncCall
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{
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ScopedFuncCall(PyObject *h)
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{
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handle = h;
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Py_XINCREF(handle);
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gil = PyGILState_Ensure();
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}
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~ScopedFuncCall()
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{
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Py_XDECREF(handle);
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PyGILState_Release(gil);
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}
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PyObject *handle;
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PyGILState_STATE gil;
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};
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template <typename funcType>
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funcType ConvertFunc(const char *funcname, PyObject *func, ExceptionHandling &exHandle)
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{
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// add a reference to the global object so it stays alive while we execute, in case this is an
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// async call
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PyObject *global_internal_handle = NULL;
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PyObject *globals = PyEval_GetGlobals();
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if(globals)
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global_internal_handle = PyDict_GetItemString(globals, "_renderdoc_internal");
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return [global_internal_handle, funcname, func, &exHandle](auto... param) {
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ScopedFuncCall gil(global_internal_handle);
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varfunc<typename funcType::result_type, decltype(param)...> f(funcname, param...);
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return f.call(funcname, func, global_internal_handle, exHandle);
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};
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}
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