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500 lines (406 loc) · 14.3 KB
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#ifndef RAT_FUNCTIONS_H
#define RAT_FUNCTIONS_H
#include <cstdlib>
#include <pybind11/pybind11.h>
#include <pybind11/numpy.h>
#include <pybind11/stl.h>
#include "../RAT/classHandle.hpp"
namespace py = pybind11;
template <typename Function, typename ... Args>
auto customCaller(std::string identifier, Function f, Args&& ... args) -> decltype((*f)(std::forward<Args>(args)...))
{
try
{
return (*f)(std::forward<Args>(args)...);
}
catch(const std::runtime_error& re)
{
std::string errorMsg;
size_t start_pos = std::string(re.what()).find("$id");
if(start_pos == std::string::npos)
{
errorMsg = std::string("Error occurred when setting ") + identifier + ". " + re.what();
}
else
{
errorMsg = re.what();
errorMsg.replace(start_pos, 3, identifier);
}
throw std::runtime_error(errorMsg);
}
}
class Library: public CallbackInterface
{
public:
py::function function;
Library(const py::function function){
this->function = function;
};
void setOutput(py::tuple& result, std::vector<double>& output, double *outputSize)
{
int nRows = 0, idx = 0;
for (py::handle rowHandle : result[0])
{
py::list rows = py::cast<py::list>(rowHandle);
for (py::handle value : rows)
{
output.push_back(py::cast<double>(value));
idx++;
}
nRows++;
}
outputSize[0] = nRows;
outputSize[1] = (nRows == 0) ? 0 : idx / nRows;
}
// Backgrounds
void invoke(std::vector<double>& xdata, std::vector<double>& params, std::vector<double>& output)
{
auto f = py::cast<std::function<py::tuple(py::list, py::list)>>(this->function);
auto result = f(py::cast(xdata), py::cast(params));
for (py::handle rowHandle : result)
{
if (py::isinstance<py::list>(rowHandle))
output.push_back(py::cast<double>(py::cast<py::list>(rowHandle)[0]));
else
output.push_back(py::cast<double>(rowHandle));
}
};
// Domain overload
void invoke(std::vector<double>& params, std::vector<double>& bulkIn, std::vector<double>& bulkOut,
int contrast, int domainNumber, std::vector<double>& output, double *outputSize, double *roughness)
{
auto f = py::cast<std::function<py::tuple(py::list, py::list, py::list, int, int)>>(this->function);
auto result = f(py::cast(params), py::cast(bulkIn), py::cast(bulkOut), contrast, domainNumber);
*roughness = py::cast<double>(result[1]);
setOutput(result, output, outputSize);
};
// Non-Domain overload
void invoke(std::vector<double>& params, std::vector<double>& bulkIn, std::vector<double>& bulkOut,
int contrast, std::vector<double>& output, double *outputSize, double *roughness)
{
auto f = py::cast<std::function<py::tuple(py::list, py::list, py::list, int)>>(this->function);
auto result = f(py::cast(params), py::cast(bulkIn), py::cast(bulkOut), contrast);
*roughness = py::cast<double>(result[1]);
setOutput(result, output, outputSize);
};
};
void stringToRatBoundedArray(std::string value, char_T result_data[], int32_T result_size[2])
{
result_size[0] = 1;
result_size[1] = value.length();
for (int32_T idx1{0}; idx1 < value.length(); idx1++) {
result_data[idx1] = value[idx1];
}
}
void stringToRatCharArray(std::string value, coder::array<char_T, 2U>& result)
{
result.set_size(1, value.length());
for (int32_T idx{0}; idx < value.length(); idx++) {
result[idx] = value[idx];
}
}
void stringFromRatBoundedArray(const char_T array_data[], const int32_T array_size[2], std::string& result)
{
result.resize(array_size[1]);
memcpy(&result[0], array_data, array_size[1]);
}
coder::array<real_T, 2U> pyArrayToRatRowArray1d(py::array_t<real_T> value)
{
coder::array<real_T, 2U> result;
py::buffer_info buffer_info = value.request();
if (buffer_info.size == 0)
return result;
if (buffer_info.ndim != 1)
throw std::runtime_error("Expects a 1D numeric array");
result.set_size(1, buffer_info.shape[0]);
for (int32_T idx0{0}; idx0 < buffer_info.shape[0]; idx0++) {
result[idx0] = value.at(idx0);
}
return result;
}
coder::bounded_array<real_T, 10U, 2U> pyArrayToRatBoundedArray(py::array_t<real_T> value)
{
coder::bounded_array<real_T, 10U, 2U> result {};
py::buffer_info buffer_info = value.request();
if (buffer_info.size == 0)
return result;
if (buffer_info.ndim != 1)
throw std::runtime_error("Expects a 1D numeric array");
result.size[0] = 1;
result.size[1] = buffer_info.shape[0];
for (int32_T idx0{0}; idx0 < buffer_info.shape[0]; idx0++) {
result.data[idx0] = value.at(idx0);
}
return result;
}
coder::bounded_array<real_T, 5U, 2U> pyArrayToRatBoundedArray3(py::array_t<real_T> value)
{
coder::bounded_array<real_T, 5U, 2U> result {};
py::buffer_info buffer_info = value.request();
if (buffer_info.size == 0)
return result;
if (buffer_info.ndim != 1)
throw std::runtime_error("Expects a 1D numeric array");
result.size[0] = 1;
result.size[1] = buffer_info.shape[0];
for (int32_T idx0{0}; idx0 < buffer_info.shape[0]; idx0++) {
result.data[idx0] = value.at(idx0);
}
return result;
}
coder::array<real_T, 2U> pyArrayToRatArray2d(py::array_t<real_T> value)
{
coder::array<real_T, 2U> result;
py::buffer_info buffer_info = value.request();
if (buffer_info.size == 0)
return result;
if (buffer_info.ndim != 2)
throw std::runtime_error("Expects a 2D numeric array");
result.set_size(buffer_info.shape[0], buffer_info.shape[1]);
int32_T idx {0};
for (int32_T idx0{0}; idx0 < buffer_info.shape[0]; idx0++) {
for (int32_T idx1{0}; idx1 < buffer_info.shape[1]; idx1++) {
idx = idx0 + result.size(0) * idx1;
result[idx] = value.at(idx0, idx1);
}
}
return result;
}
coder::array<RAT::cell_wrap_1, 2U> pyListToRatCellWrap1(py::list values)
{
coder::array<RAT::cell_wrap_1, 2U> result;
result.set_size(1, values.size());
int32_T idx {0};
for (py::handle array: values)
{
py::array_t<real_T> casted_array = py::cast<py::array>(array);
result[idx].f1 = customCaller("$id[" + std::to_string(idx) +"]", pyArrayToRatArray2d, casted_array);
idx++;
}
return result;
}
coder::array<RAT::cell_wrap_2, 2U> pyListToRatCellWrap2(py::list values)
{
coder::array<RAT::cell_wrap_2, 2U> result;
result.set_size(1, values.size());
int32_T idx {0};
for (py::handle array: values)
{
py::array_t<real_T> casted_array = py::cast<py::array>(array);
if (casted_array.size() != 2)
throw std::runtime_error("Expects a 2D list where each row contains exactly 2 numbers");
result[idx].f1[0] = casted_array.at(0);
result[idx].f1[1] = casted_array.at(1);
idx++;
}
return result;
}
coder::array<RAT::cell_wrap_3, 2U> pyListToRatCellWrap3(py::list values)
{
coder::array<RAT::cell_wrap_3, 2U> result;
result.set_size(1, values.size());
int32_T idx {0};
for (py::handle array: values)
{
py::array_t<real_T> casted_array = py::cast<py::array>(array);
result[idx].f1 = customCaller("$id[" + std::to_string(idx) +"]", pyArrayToRatBoundedArray3, casted_array);
idx++;
}
return result;
}
coder::array<RAT::cell_wrap_4, 2U> pyListToRatCellWrap4(py::list values)
{
coder::array<RAT::cell_wrap_4, 2U> result;
result.set_size(1, values.size());
int32_T idx {0};
for (py::handle array: values)
{
py::array_t<real_T> casted_array = py::cast<py::array>(array);
result[idx].f1 = customCaller("$id[" + std::to_string(idx) +"]", pyArrayToRatBoundedArray3, casted_array);
idx++;
}
return result;
}
coder::array<RAT::cell_wrap_5, 2U> pyListToRatCellWrap5(py::list values)
{
coder::array<RAT::cell_wrap_5, 2U> result;
result.set_size(1, values.size());
int32_T idx {0};
for (py::handle array: values)
{
py::array_t<real_T> casted_array = py::cast<py::array>(array);
result[idx].f1 = customCaller("$id[" + std::to_string(idx) +"]", pyArrayToRatRowArray1d, casted_array);
idx++;
}
return result;
}
coder::array<RAT::cell_wrap_6, 2U> pyListToRatCellWrap6(py::list values)
{
coder::array<RAT::cell_wrap_6, 2U> result;
result.set_size(1, values.size());
int32_T idx {0};
for (py::handle array: values)
{
py::array_t<real_T> casted_array = py::cast<py::array>(array);
result[idx].f1 = customCaller("$id[" + std::to_string(idx) +"]", pyArrayToRatBoundedArray, casted_array);
idx++;
}
return result;
}
coder::array<RAT::cell_wrap_0, 1U> pyListToRatCellWrap01d(py::list values)
{
coder::array<RAT::cell_wrap_0, 1U> result;
result.set_size(values.size());
int32_T idx {0};
for (py::handle array: values)
{
if (py::isinstance<py::str>(array)) {
std::string name = py::cast<std::string>(array);
stringToRatBoundedArray(name, result[idx].f1.data, result[idx].f1.size);
idx++;
}
else
throw std::runtime_error("Expects a 1D list of strings");
}
return result;
}
coder::array<RAT::cell_wrap_0, 2U> pyListToRatCellWrap02d(py::list values)
{
coder::array<RAT::cell_wrap_0, 2U> result;
result.set_size(1, values.size());
int32_T idx {0};
for (py::handle array: values)
{
if (py::isinstance<py::str>(array)) {
std::string name = py::cast<std::string>(array);
stringToRatBoundedArray(name, result[idx].f1.data, result[idx].f1.size);
idx++;
}
else
throw std::runtime_error("Expects a 1D list of strings");
}
return result;
}
coder::array<RAT::cell_wrap_0, 2U> py_function_array_to_rat_cell_wrap_0(py::object values)
{
auto handles = py::cast<py::list>(values);
coder::array<RAT::cell_wrap_0, 2U> result;
result.set_size(1, handles.size());
int32_T idx {0};
for (py::handle array: handles)
{
auto func = py::cast<py::function>(array);
std::string func_ptr = convertPtr2String<CallbackInterface>(new Library(func));
stringToRatBoundedArray(func_ptr, result[idx].f1.data, result[idx].f1.size);
idx++;
}
return result;
}
template <typename T>
py::array_t<real_T> pyArrayFromRatArray1d(T array, bool isCol=true)
{
auto size = isCol ? array.size(1) : array.size(0);
auto result_array = py::array_t<real_T>(size);
std::memcpy(result_array.request().ptr, array.data(), result_array.nbytes());
return result_array;
}
py::array_t<real_T> pyArrayFromRatArray2d(coder::array<real_T, 2U> array)
{
auto result_array = py::array_t<real_T, py::array::f_style>({array.size(0), array.size(1)});
std::memcpy(result_array.request().ptr, array.data(), result_array.nbytes());
return result_array;
}
py::list pyListFromRatCellWrap01d(coder::array<RAT::cell_wrap_0, 1U> values)
{
py::list result;
for (int32_T idx0{0}; idx0 < values.size(0); idx0++) {
std::string tmp;
stringFromRatBoundedArray(values[idx0].f1.data, values[idx0].f1.size, tmp);
result.append(tmp);
}
return result;
}
py::list pyListFromRatCellWrap02d(coder::array<RAT::cell_wrap_0, 2U> values)
{
py::list result;
for (int32_T idx0{0}; idx0 < values.size(1); idx0++) {
std::string tmp;
stringFromRatBoundedArray(values[idx0].f1.data, values[idx0].f1.size, tmp);
result.append(tmp);
}
return result;
}
py::list pyListFromRatCellWrap2(coder::array<RAT::cell_wrap_2, 2U> values)
{
py::list result;
for (int32_T idx0{0}; idx0 < values.size(1); idx0++) {
py::list inner = py::make_tuple(values[idx0].f1[0], values[idx0].f1[1]);
result.append(inner);
}
return result;
}
template <typename T>
py::list pyList1DFromRatCellWrap2D(const T& values)
{
py::list result;
for (int32_T idx0{0}; idx0 < values.size(1); idx0++) {
result.append(pyArrayFromRatArray2d(values[idx0].f1));
}
return result;
}
template <typename T>
py::list pyList1DFromRatCellWrap1D(const T& values)
{
py::list result;
for (int32_T idx0{0}; idx0 < values.size(0); idx0++) {
result.append(pyArrayFromRatArray2d(values[idx0].f1));
}
return result;
}
template <typename T>
py::list pyList2dFromRatCellWrap(const T& values)
{
py::list result;
int32_T idx {0};
for (int32_T idx0{0}; idx0 < values.size(0); idx0++) {
py::list inner;
for (int32_T idx1{0}; idx1 < values.size(1); idx1++) {
idx = idx0 + values.size(0) * idx1;
inner.append(pyArrayFromRatArray2d(values[idx].f1));
}
result.append(inner);
}
return result;
}
template <class T>
py::list pyListFromBoundedCellWrap(const T& values)
{
py::list result;
for (int32_T idx0{0}; idx0 < values.size(1); idx0++) {
auto array = py::array_t<real_T, py::array::f_style>({values[idx0].f1.size[0]});
std::memcpy(array.request().ptr, values[idx0].f1.data, array.nbytes());
result.append(array);
}
return result;
}
template <class T>
py::array_t<real_T> pyArray1dFromBoundedArray(const T& array)
{
auto result_array = py::array_t<real_T, py::array::f_style>({array.size[0]});
std::memcpy(result_array.request().ptr, array.data, result_array.nbytes());
return result_array;
}
template <class T>
py::array_t<real_T> pyArray2dFromBoundedArray(const T& array)
{
auto result_array = py::array_t<real_T, py::array::f_style>({array.size[0], array.size[1]});
std::memcpy(result_array.request().ptr, array.data, result_array.nbytes());
return result_array;
}
py::array_t<real_T> pyArrayFromRatArray3d(coder::array<real_T, 3U> array)
{
auto result_array = py::array_t<real_T, py::array::f_style>({array.size(0), array.size(1), array.size(2)});
std::memcpy(result_array.request().ptr, array.data(), result_array.nbytes());
return result_array;
}
#endif // RAT_FUNCTIONS_H