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Replace xtensor with internal Tensor/View classes (#3805)

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Co-authored-by: John Tramm <jtramm@gmail.com>
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John Tramm 2026-02-17 09:50:38 -06:00 • committed by GitHub
parent c6ef84d1d5
commit 977ade79a1
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73 changed files with 3111 additions and 908 deletions
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18
src/distribution_energy.cpp
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@ -4,7 +4,7 @@
#include <cstddef> // for size_t
#include <iterator> // for back_inserter
#include "xtensor/xview.hpp"
#include "openmc/tensor.h"
#include "openmc/endf.h"
#include "openmc/hdf5_interface.h"
@ -60,11 +60,11 @@ ContinuousTabular::ContinuousTabular(hid_t group)
hid_t dset = open_dataset(group, "energy");
// Get interpolation parameters
xt::xarray<int> temp;
tensor::Tensor<int> temp;
read_attribute(dset, "interpolation", temp);
auto temp_b = xt::view(temp, 0); // view of breakpoints
auto temp_i = xt::view(temp, 1); // view of interpolation parameters
tensor::View<int> temp_b = temp.slice(0); // breakpoints
tensor::View<int> temp_i = temp.slice(1); // interpolation parameters
std::copy(temp_b.begin(), temp_b.end(), std::back_inserter(breakpoints_));
for (const auto i : temp_i)
@ -85,7 +85,7 @@ ContinuousTabular::ContinuousTabular(hid_t group)
read_attribute(dset, "interpolation", interp);
read_attribute(dset, "n_discrete_lines", n_discrete);
xt::xarray<double> eout;
tensor::Tensor<double> eout;
read_dataset(dset, eout);
close_dataset(dset);
@ -96,7 +96,7 @@ ContinuousTabular::ContinuousTabular(hid_t group)
if (i < n_energy - 1) {
n = offsets[i + 1] - j;
} else {
n = eout.shape()[1] - j;
n = eout.shape(1) - j;
}
// Assign interpolation scheme and number of discrete lines
@ -105,15 +105,15 @@ ContinuousTabular::ContinuousTabular(hid_t group)
d.n_discrete = n_discrete[i];
// Copy data
d.e_out = xt::view(eout, 0, xt::range(j, j + n));
d.p = xt::view(eout, 1, xt::range(j, j + n));
d.e_out = eout.slice(0, tensor::range(j, j + n));
d.p = eout.slice(1, tensor::range(j, j + n));
// To get answers that match ACE data, for now we still use the tabulated
// CDF values that were passed through to the HDF5 library. At a later
// time, we can remove the CDF values from the HDF5 library and
// reconstruct them using the PDF
if (true) {
d.c = xt::view(eout, 2, xt::range(j, j + n));
d.c = eout.slice(2, tensor::range(j, j + n));
} else {
// Calculate cumulative distribution function -- discrete portion
for (int k = 0; k < d.n_discrete; ++k) {