some small potential bug fixes and code cleanup

src/scattdata.cpp

@@ -109,13 +109,7 @@ ScattData::base_combine(size_t max_order,
 
   // Combine mult_numer and mult_denom into the combined multiplicity matrix
   xt::xtensor<double, 2> this_mult({groups, groups}, 1.);
-  for (int gin = 0; gin < groups; gin++) {
-    for (int gout = 0; gout < groups; gout++) {
-      if (mult_denom(gin, gout) > 0.) {
-        this_mult(gin, gout) = mult_numer(gin, gout) / mult_denom(gin, gout);
-      }
-    }
-  }
+  this_mult = xt::nan_to_num(mult_numer / mult_denom);
 
   // We have the data, now we need to convert to a jagged array and then use
   // the initialize function to store it on the object.
@@ -531,7 +525,7 @@ ScattDataHistogram::calc_f(int gin, int gout, double mu)
     int imu;
     if (mu == 1.) {
       // use size -2 to have the index one before the end
-      imu = this->mu.size() - 2;
+      imu = this->mu.shape()[0] - 2;
     } else {
       imu = std::floor((mu + 1.) / dmu + 1.) - 1;
     }

src/xsdata.cpp

@@ -4,6 +4,7 @@
 #include <cstdlib>
 #include <algorithm>
 #include <numeric>
+#include <iostream>
 
 #include "xtensor/xview.hpp"
 #include "xtensor/xindex_view.hpp"
@@ -204,13 +205,7 @@ XsData::fission_vector_no_delayed_from_hdf5(hid_t xsdata_grp, size_t n_ang,
   temp_chi = temp_chi / xt::view(xt::sum(temp_chi, {1}), xt::all(), xt::newaxis());
 
   // Now every incoming group in self.chi is the normalized chi we just made
-  for (size_t a = 0; a < n_ang; a++) {
-    for (size_t gin = 0; gin < energy_groups; gin++) {
-      for (size_t gout = 0; gout < energy_groups; gout++) {
-        chi_prompt(a, gin, gout) = temp_chi(a, gout);
-      }
-    }
-  }
+  chi_prompt = xt::view(temp_chi, xt::all(), xt::newaxis(), xt::all());
 
   // Get nu-fission directly
   if (object_exists(xsdata_grp, "prompt-nu-fission")) {
@@ -317,7 +312,8 @@ XsData::fission_matrix_no_delayed_from_hdf5(hid_t xsdata_grp, size_t n_ang,
 
   // chi_prompt is this matrix but normalized over outgoing groups, which we
   // have already stored in prompt_nu_fission
-  chi_prompt = temp_matrix / prompt_nu_fission;
+  chi_prompt = temp_matrix / xt::view(prompt_nu_fission, xt::all(), xt::all(),
+                                      xt::newaxis());
 }
 
 //==============================================================================
@@ -391,12 +387,7 @@ XsData::scatter_from_hdf5(hid_t xsdata_grp, size_t n_ang, size_t energy_groups,
 
   // Now use this info to find the length of a vector to hold the flattened
   // data.
-  size_t length = 0;
-  for (size_t a = 0; a < n_ang; a++) {
-    for (size_t gin = 0; gin < energy_groups; gin++) {
-      length += order_data * (gmax(a, gin) - gmin(a, gin) + 1);
-    }
-  }
+  size_t length = order_data * xt::sum(gmax - gmin + 1)();
 
   double_4dvec input_scatt(n_ang, double_3dvec(energy_groups));
   xt::xtensor<double, 1> temp_arr({length}, 0.);

tests/regression_tests/mg_basic/test.py

@@ -82,7 +82,7 @@ class MGXSTestHarness(PyAPITestHarness):
             os.remove(f)
 
 
-def test_mg_benchmark():
+def test_mg_basic():
     create_library()
     mat_names = ['base leg', 'base tab', 'base hist', 'base matrix',
                  'base ang', 'micro']

tests/regression_tests/mg_basic_delayed/test.py

@@ -97,7 +97,7 @@ class MGXSTestHarness(PyAPITestHarness):
             os.remove(f)
 
 
-def test_mg_benchmark():
+def test_mg_basic_delayed():
     create_library()
     model = slab_mg(num_regions=4, mat_names=['vec beta', 'vec no beta',
                                               'matrix beta', 'matrix no beta'])