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precalculate weights for arrays
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@ -68,7 +68,7 @@ m.def("adc_sar_04_decode64to16", [](py::array_t<uint8_t> input) {
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});
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m.def("apply_custom_weights", [](py::array_t<uint16_t> input, py::array_t<double> weights) {
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m.def("apply_custom_weights", [](py::array_t<uint16_t>& input, py::array_t<double>& weights) {
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if (input.ndim() != 2) {
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throw std::runtime_error("Only 2D arrays are supported at this moment");
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}
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@ -81,9 +81,22 @@ void apply_custom_weights(NDView<uint16_t, 2> input, NDView<double, 2> output, c
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if(input.shape() != output.shape()){
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throw std::invalid_argument(LOCATION + " input and output shapes must match");
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}
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for (int64_t i = 0; i < input.shape(0); i++) {
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for (int64_t j = 0; j < input.shape(1); j++) {
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output(i, j) = apply_custom_weights(input(i, j), weights);
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//Calculate weights to avoid repeatedly calling std::pow
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std::vector<double> weights_powers(weights.size());
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for (ssize_t i = 0; i < weights.size(); ++i) {
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weights_powers[i] = std::pow(weights[i], i);
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}
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// Apply custom weights to each element in the input array
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for (ssize_t i = 0; i < input.shape(0); i++) {
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for (ssize_t j = 0; j < input.shape(1); j++) {
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double result = 0.0;
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for (ssize_t bit_index = 0; bit_index < weights_powers.size(); ++bit_index) {
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result += ((input(i,j) >> bit_index) & 1) * weights_powers[bit_index];
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}
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output(i,j) = result;
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}
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}
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}
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