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change dimensions in vector_to_numpy_array

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Hannes Signer 2025-01-09 21:00:01 +01:00
parent 4169cf8a20
commit 80165db6d0
1 changed files with 14 additions and 11 deletions
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17
src/Chemistry/SurrogateModels/AI_functions.cpp
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@ -91,21 +91,24 @@ int Python_Keras_load_model(std::string model, std::string model_reactive,
* @param field 2D-Matrix with the content of a Field object * @param field 2D-Matrix with the content of a Field object
* @return Numpy representation of the input vector * @return Numpy representation of the input vector
*/ */
PyObject *vector_to_numpy_array(const std::vector<std::vector<double>> &field) { PyObject* vector_to_numpy_array(const std::vector<std::vector<double>>& field) {
npy_intp dims[2] = {static_cast<npy_intp>(field[0].size()), npy_intp dims[2] = {static_cast<npy_intp>(field.size()), // Zeilenanzahl
static_cast<npy_intp>(field.size())}; static_cast<npy_intp>(field[0].size())}; // Spaltenanzahl
PyObject *np_array = PyArray_SimpleNew(2, dims, NPY_FLOAT64); PyObject* np_array = PyArray_SimpleNew(2, dims, NPY_FLOAT64);
double *data = static_cast<double *>(PyArray_DATA((PyArrayObject *)np_array)); double* data = static_cast<double*>(PyArray_DATA((PyArrayObject*)np_array));
// write field data to numpy array
// Schreibe die Daten in das Numpy-Array (korrekte Reihenfolge)
for (size_t i = 0; i < field.size(); ++i) { for (size_t i = 0; i < field.size(); ++i) {
for (size_t j = 0; j < field[i].size(); ++j) { for (size_t j = 0; j < field[i].size(); ++j) {
data[j * field.size() + i] = field[i][j]; data[i * field[0].size() + j] = field[i][j]; // Korrekte Indizes
} }
} }
return np_array; return np_array;
} }
/** /**
* @brief Converts a Pyton matrix object to a std::vector vector * @brief Converts a Pyton matrix object to a std::vector vector
* @param py_matrix Pyobject that must be a 2D matrix * @param py_matrix Pyobject that must be a 2D matrix