//
// BAGEL - Brilliantly Advanced General Electronic Structure Library
// Filename: SPCASPT2_tasks2.cc
// Copyright (C) 2014 Toru Shiozaki
//
// Author: Toru Shiozaki <shiozaki@northwestern.edu>
// Maintainer: Shiozaki group
//
// This file is part of the BAGEL package.
//
// This program is free software: you can redistribute it and/or modify
// it under the terms of the GNU General Public License as published by
// the Free Software Foundation, either version 3 of the License, or
// (at your option) any later version.
//
// This program is distributed in the hope that it will be useful,
// but WITHOUT ANY WARRANTY; without even the implied warranty of
// MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
// GNU General Public License for more details.
//
// You should have received a copy of the GNU General Public License
// along with this program.  If not, see <http://www.gnu.org/licenses/>.
//

#include <bagel_config.h>
#ifdef COMPILE_SMITH

#include <src/smith/caspt2/SPCASPT2_tasks2.h>

using namespace std;
using namespace bagel;
using namespace bagel::SMITH;
using namespace bagel::SMITH::SPCASPT2;

void Task50::Task_local::compute() {
  const Index x3 = b(0);
  const Index x2 = b(1);
  // tensor label: I0
  std::unique_ptr<double[]> odata(new double[out()->get_size(x3, x2)]);
  std::fill_n(odata.get(), out()->get_size(x3, x2), 0.0);
  std::unique_ptr<double[]> odata_sorted(new double[out()->get_size(x3, x2)]);
  std::fill_n(odata_sorted.get(), out()->get_size(x3, x2), 0.0);
  for (auto& x5 : *range_[1]) {
    for (auto& x0 : *range_[1]) {
      for (auto& x4 : *range_[1]) {
        for (auto& x1 : *range_[1]) {
          // tensor label: Gamma92
          std::unique_ptr<double[]> i0data = in(0)->get_block(x5, x0, x4, x1, x3, x2);
          std::unique_ptr<double[]> i0data_sorted(new double[in(0)->get_size(x5, x0, x4, x1, x3, x2)]);
          sort_indices<0,1,2,3,4,5,0,1,1,1>(i0data, i0data_sorted, x5.size(), x0.size(), x4.size(), x1.size(), x3.size(), x2.size());
          // tensor label: I285
          std::unique_ptr<double[]> i1data = in(1)->get_block(x5, x4, x1, x0);
          std::unique_ptr<double[]> i1data_sorted(new double[in(1)->get_size(x5, x4, x1, x0)]);
          sort_indices<0,3,1,2,0,1,1,1>(i1data, i1data_sorted, x5.size(), x4.size(), x1.size(), x0.size());
          dgemm_("T", "N", x3.size()*x2.size(), 1, x5.size()*x4.size()*x1.size()*x0.size(),
                 1.0, i0data_sorted, x5.size()*x4.size()*x1.size()*x0.size(), i1data_sorted, x5.size()*x4.size()*x1.size()*x0.size(),
                 1.0, odata_sorted, x3.size()*x2.size());
        }
      }
    }
  }
  sort_indices<0,1,1,1,1,1>(odata_sorted, odata, x3.size(), x2.size());
  out()->add_block(odata, x3, x2);
}

void Task51::Task_local::compute() {
  const Index x5 = b(0);
  const Index x4 = b(1);
  const Index x1 = b(2);
  const Index x0 = b(3);
  // tensor label: I285
  std::unique_ptr<double[]> odata(new double[out()->get_size(x5, x4, x1, x0)]);
  std::fill_n(odata.get(), out()->get_size(x5, x4, x1, x0), 0.0);
  std::unique_ptr<double[]> odata_sorted(new double[out()->get_size(x5, x4, x1, x0)]);
  std::fill_n(odata_sorted.get(), out()->get_size(x5, x4, x1, x0), 0.0);
  for (auto& a2 : *range_[2]) {
    for (auto& a1 : *range_[2]) {
      // tensor label: t2
      std::unique_ptr<double[]> i0data = in(0)->get_block(x0, a1, x1, a2);
      std::unique_ptr<double[]> i0data_sorted(new double[in(0)->get_size(x0, a1, x1, a2)]);
      sort_indices<3,1,0,2,0,1,1,1>(i0data, i0data_sorted, x0.size(), a1.size(), x1.size(), a2.size());
      // tensor label: t2
      std::unique_ptr<double[]> i1data = in(0)->get_block(x5, a1, x4, a2);
      std::unique_ptr<double[]> i1data_sorted(new double[in(0)->get_size(x5, a1, x4, a2)]);
      sort_indices<3,1,0,2,0,1,2,1>(i1data, i1data_sorted, x5.size(), a1.size(), x4.size(), a2.size());
      dgemm_("T", "N", x1.size()*x0.size(), x5.size()*x4.size(), a1.size()*a2.size(),
             1.0, i0data_sorted, a1.size()*a2.size(), i1data_sorted, a1.size()*a2.size(),
             1.0, odata_sorted, x1.size()*x0.size());
    }
  }
  sort_indices<2,3,1,0,1,1,1,1>(odata_sorted, odata, x0.size(), x1.size(), x5.size(), x4.size());
  out()->add_block(odata, x5, x4, x1, x0);
}

void Task52::Task_local::compute() {
  const Index c3 = b(0);
  const Index c2 = b(1);
  // tensor label: r
  std::unique_ptr<double[]> odata(new double[out()->get_size(c3, c2)]);
  std::fill_n(odata.get(), out()->get_size(c3, c2), 0.0);
  {
    // tensor label: I3
    std::unique_ptr<double[]> i0data = in(0)->get_block(c2, c3);
    sort_indices<1,0,1,1,1,1>(i0data, odata, c2.size(), c3.size());
  }
  out()->add_block(odata, c3, c2);
}

void Task53::Task_local::compute() {
  const Index c2 = b(0);
  const Index c3 = b(1);
  // tensor label: I3
  std::unique_ptr<double[]> odata(new double[out()->get_size(c2, c3)]);
  std::fill_n(odata.get(), out()->get_size(c2, c3), 0.0);
  std::unique_ptr<double[]> odata_sorted(new double[out()->get_size(c2, c3)]);
  std::fill_n(odata_sorted.get(), out()->get_size(c2, c3), 0.0);
  for (auto& c1 : *range_[0]) {
    for (auto& x3 : *range_[1]) {
      for (auto& x2 : *range_[1]) {
        // tensor label: t2
        std::unique_ptr<double[]> i0data = in(0)->get_block(c1, x3, c3, x2);
        std::unique_ptr<double[]> i0data_sorted(new double[in(0)->get_size(c1, x3, c3, x2)]);
        sort_indices<0,1,3,2,0,1,1,1>(i0data, i0data_sorted, c1.size(), x3.size(), c3.size(), x2.size());
        // tensor label: I4
        std::unique_ptr<double[]> i1data = in(1)->get_block(c2, c1, x3, x2);
        std::unique_ptr<double[]> i1data_sorted(new double[in(1)->get_size(c2, c1, x3, x2)]);
        sort_indices<1,2,3,0,0,1,1,1>(i1data, i1data_sorted, c2.size(), c1.size(), x3.size(), x2.size());
        dgemm_("T", "N", c3.size(), c2.size(), c1.size()*x3.size()*x2.size(),
               1.0, i0data_sorted, c1.size()*x3.size()*x2.size(), i1data_sorted, c1.size()*x3.size()*x2.size(),
               1.0, odata_sorted, c3.size());
      }
    }
  }
  sort_indices<1,0,1,1,1,1>(odata_sorted, odata, c3.size(), c2.size());
  out()->add_block(odata, c2, c3);
}

void Task54::Task_local::compute() {
  const Index c2 = b(0);
  const Index c1 = b(1);
  const Index x3 = b(2);
  const Index x2 = b(3);
  // tensor label: I4
  std::unique_ptr<double[]> odata(new double[out()->get_size(c2, c1, x3, x2)]);
  std::fill_n(odata.get(), out()->get_size(c2, c1, x3, x2), 0.0);
  std::unique_ptr<double[]> odata_sorted(new double[out()->get_size(c2, c1, x3, x2)]);
  std::fill_n(odata_sorted.get(), out()->get_size(c2, c1, x3, x2), 0.0);
  for (auto& x0 : *range_[1]) {
    for (auto& x1 : *range_[1]) {
      // tensor label: Gamma1
      std::unique_ptr<double[]> i0data = in(0)->get_block(x0, x3, x1, x2);
      std::unique_ptr<double[]> i0data_sorted(new double[in(0)->get_size(x0, x3, x1, x2)]);
      sort_indices<0,2,1,3,0,1,1,1>(i0data, i0data_sorted, x0.size(), x3.size(), x1.size(), x2.size());
      // tensor label: t2
      std::unique_ptr<double[]> i1data = in(1)->get_block(c1, x0, c2, x1);
      std::unique_ptr<double[]> i1data_sorted(new double[in(1)->get_size(c1, x0, c2, x1)]);
      sort_indices<1,3,0,2,0,1,-4,1>(i1data, i1data_sorted, c1.size(), x0.size(), c2.size(), x1.size());
      dgemm_("T", "N", x3.size()*x2.size(), c2.size()*c1.size(), x1.size()*x0.size(),
             1.0, i0data_sorted, x1.size()*x0.size(), i1data_sorted, x1.size()*x0.size(),
             1.0, odata_sorted, x3.size()*x2.size());
    }
  }
  sort_indices<3,2,0,1,1,1,1,1>(odata_sorted, odata, x3.size(), x2.size(), c1.size(), c2.size());
  out()->add_block(odata, c2, c1, x3, x2);
}

void Task55::Task_local::compute() {
  const Index c2 = b(0);
  const Index c3 = b(1);
  // tensor label: I3
  std::unique_ptr<double[]> odata(new double[out()->get_size(c2, c3)]);
  std::fill_n(odata.get(), out()->get_size(c2, c3), 0.0);
  std::unique_ptr<double[]> odata_sorted(new double[out()->get_size(c2, c3)]);
  std::fill_n(odata_sorted.get(), out()->get_size(c2, c3), 0.0);
  for (auto& x3 : *range_[1]) {
    for (auto& a1 : *range_[2]) {
      for (auto& x2 : *range_[1]) {
        // tensor label: t2
        std::unique_ptr<double[]> i0data = in(0)->get_block(x3, a1, c3, x2);
        std::unique_ptr<double[]> i0data_sorted(new double[in(0)->get_size(x3, a1, c3, x2)]);
        sort_indices<0,1,3,2,0,1,1,1>(i0data, i0data_sorted, x3.size(), a1.size(), c3.size(), x2.size());
        // tensor label: I97
        std::unique_ptr<double[]> i1data = in(1)->get_block(c2, a1, x3, x2);
        std::unique_ptr<double[]> i1data_sorted(new double[in(1)->get_size(c2, a1, x3, x2)]);
        sort_indices<2,1,3,0,0,1,1,1>(i1data, i1data_sorted, c2.size(), a1.size(), x3.size(), x2.size());
        dgemm_("T", "N", c3.size(), c2.size(), a1.size()*x3.size()*x2.size(),
               1.0, i0data_sorted, a1.size()*x3.size()*x2.size(), i1data_sorted, a1.size()*x3.size()*x2.size(),
               1.0, odata_sorted, c3.size());
      }
    }
  }
  sort_indices<1,0,1,1,1,1>(odata_sorted, odata, c3.size(), c2.size());
  out()->add_block(odata, c2, c3);
}

void Task56::Task_local::compute() {
  const Index c2 = b(0);
  const Index a1 = b(1);
  const Index x3 = b(2);
  const Index x2 = b(3);
  // tensor label: I97
  std::unique_ptr<double[]> odata(new double[out()->get_size(c2, a1, x3, x2)]);
  std::fill_n(odata.get(), out()->get_size(c2, a1, x3, x2), 0.0);
  std::unique_ptr<double[]> odata_sorted(new double[out()->get_size(c2, a1, x3, x2)]);
  std::fill_n(odata_sorted.get(), out()->get_size(c2, a1, x3, x2), 0.0);
  for (auto& x0 : *range_[1]) {
    for (auto& x1 : *range_[1]) {
      // tensor label: Gamma32
      std::unique_ptr<double[]> i0data = in(0)->get_block(x3, x0, x1, x2);
      std::unique_ptr<double[]> i0data_sorted(new double[in(0)->get_size(x3, x0, x1, x2)]);
      sort_indices<1,2,0,3,0,1,1,1>(i0data, i0data_sorted, x3.size(), x0.size(), x1.size(), x2.size());
      // tensor label: t2
      std::unique_ptr<double[]> i1data = in(1)->get_block(x0, a1, c2, x1);
      std::unique_ptr<double[]> i1data_sorted(new double[in(1)->get_size(x0, a1, c2, x1)]);
      sort_indices<0,3,1,2,0,1,-1,1>(i1data, i1data_sorted, x0.size(), a1.size(), c2.size(), x1.size());
      dgemm_("T", "N", x3.size()*x2.size(), c2.size()*a1.size(), x1.size()*x0.size(),
             1.0, i0data_sorted, x1.size()*x0.size(), i1data_sorted, x1.size()*x0.size(),
             1.0, odata_sorted, x3.size()*x2.size());
    }
  }
  sort_indices<3,2,0,1,1,1,1,1>(odata_sorted, odata, x3.size(), x2.size(), a1.size(), c2.size());
  out()->add_block(odata, c2, a1, x3, x2);
}

void Task57::Task_local::compute() {
  const Index c2 = b(0);
  const Index c3 = b(1);
  // tensor label: I3
  std::unique_ptr<double[]> odata(new double[out()->get_size(c2, c3)]);
  std::fill_n(odata.get(), out()->get_size(c2, c3), 0.0);
  std::unique_ptr<double[]> odata_sorted(new double[out()->get_size(c2, c3)]);
  std::fill_n(odata_sorted.get(), out()->get_size(c2, c3), 0.0);
  for (auto& a1 : *range_[2]) {
    for (auto& x3 : *range_[1]) {
      for (auto& x2 : *range_[1]) {
        // tensor label: t2
        std::unique_ptr<double[]> i0data = in(0)->get_block(c3, a1, x3, x2);
        std::unique_ptr<double[]> i0data_sorted(new double[in(0)->get_size(c3, a1, x3, x2)]);
        sort_indices<1,2,3,0,0,1,1,1>(i0data, i0data_sorted, c3.size(), a1.size(), x3.size(), x2.size());
        // tensor label: I106
        std::unique_ptr<double[]> i1data = in(1)->get_block(c2, a1, x3, x2);
        std::unique_ptr<double[]> i1data_sorted(new double[in(1)->get_size(c2, a1, x3, x2)]);
        sort_indices<1,2,3,0,0,1,1,1>(i1data, i1data_sorted, c2.size(), a1.size(), x3.size(), x2.size());
        dgemm_("T", "N", c3.size(), c2.size(), a1.size()*x3.size()*x2.size(),
               1.0, i0data_sorted, a1.size()*x3.size()*x2.size(), i1data_sorted, a1.size()*x3.size()*x2.size(),
               1.0, odata_sorted, c3.size());
      }
    }
  }
  sort_indices<1,0,1,1,1,1>(odata_sorted, odata, c3.size(), c2.size());
  out()->add_block(odata, c2, c3);
}

void Task58::Task_local::compute() {
  const Index c2 = b(0);
  const Index a1 = b(1);
  const Index x3 = b(2);
  const Index x2 = b(3);
  // tensor label: I106
  std::unique_ptr<double[]> odata(new double[out()->get_size(c2, a1, x3, x2)]);
  std::fill_n(odata.get(), out()->get_size(c2, a1, x3, x2), 0.0);
  std::unique_ptr<double[]> odata_sorted(new double[out()->get_size(c2, a1, x3, x2)]);
  std::fill_n(odata_sorted.get(), out()->get_size(c2, a1, x3, x2), 0.0);
  for (auto& x1 : *range_[1]) {
    for (auto& x0 : *range_[1]) {
      // tensor label: Gamma35
      std::unique_ptr<double[]> i0data = in(0)->get_block(x3, x2, x1, x0);
      std::unique_ptr<double[]> i0data_sorted(new double[in(0)->get_size(x3, x2, x1, x0)]);
      sort_indices<2,3,0,1,0,1,1,1>(i0data, i0data_sorted, x3.size(), x2.size(), x1.size(), x0.size());
      // tensor label: t2
      std::unique_ptr<double[]> i1data = in(1)->get_block(x0, a1, c2, x1);
      std::unique_ptr<double[]> i1data_sorted(new double[in(1)->get_size(x0, a1, c2, x1)]);
      sort_indices<3,0,1,2,0,1,1,1>(i1data, i1data_sorted, x0.size(), a1.size(), c2.size(), x1.size());
      dgemm_("T", "N", x3.size()*x2.size(), c2.size()*a1.size(), x1.size()*x0.size(),
             1.0, i0data_sorted, x1.size()*x0.size(), i1data_sorted, x1.size()*x0.size(),
             1.0, odata_sorted, x3.size()*x2.size());
    }
  }
  sort_indices<3,2,0,1,1,1,1,1>(odata_sorted, odata, x3.size(), x2.size(), a1.size(), c2.size());
  out()->add_block(odata, c2, a1, x3, x2);
}

void Task59::Task_local::compute() {
  const Index x2 = b(0);
  const Index c2 = b(1);
  // tensor label: r
  std::unique_ptr<double[]> odata(new double[out()->get_size(x2, c2)]);
  std::fill_n(odata.get(), out()->get_size(x2, c2), 0.0);
  {
    // tensor label: I6
    std::unique_ptr<double[]> i0data = in(0)->get_block(x2, c2);
    sort_indices<0,1,1,1,1,1>(i0data, odata, x2.size(), c2.size());
  }
  out()->add_block(odata, x2, c2);
}

void Task60::Task_local::compute() {
  const Index x2 = b(0);
  const Index c2 = b(1);
  // tensor label: I6
  std::unique_ptr<double[]> odata(new double[out()->get_size(x2, c2)]);
  std::fill_n(odata.get(), out()->get_size(x2, c2), 0.0);
  std::unique_ptr<double[]> odata_sorted(new double[out()->get_size(x2, c2)]);
  std::fill_n(odata_sorted.get(), out()->get_size(x2, c2), 0.0);
  for (auto& x1 : *range_[1]) {
    for (auto& x0 : *range_[1]) {
      for (auto& c1 : *range_[0]) {
        // tensor label: t2
        std::unique_ptr<double[]> i0data = in(0)->get_block(c1, x0, c2, x1);
        std::unique_ptr<double[]> i0data_sorted(new double[in(0)->get_size(c1, x0, c2, x1)]);
        sort_indices<3,1,0,2,0,1,1,1>(i0data, i0data_sorted, c1.size(), x0.size(), c2.size(), x1.size());
        // tensor label: I7
        std::unique_ptr<double[]> i1data = in(1)->get_block(c1, x0, x1, x2);
        std::unique_ptr<double[]> i1data_sorted(new double[in(1)->get_size(c1, x0, x1, x2)]);
        sort_indices<2,1,0,3,0,1,1,1>(i1data, i1data_sorted, c1.size(), x0.size(), x1.size(), x2.size());
        dgemm_("T", "N", c2.size(), x2.size(), c1.size()*x0.size()*x1.size(),
               1.0, i0data_sorted, c1.size()*x0.size()*x1.size(), i1data_sorted, c1.size()*x0.size()*x1.size(),
               1.0, odata_sorted, c2.size());
      }
    }
  }
  sort_indices<1,0,1,1,1,1>(odata_sorted, odata, c2.size(), x2.size());
  out()->add_block(odata, x2, c2);
}

void Task61::Task_local::compute() {
  const Index c1 = b(0);
  const Index x0 = b(1);
  const Index x1 = b(2);
  const Index x2 = b(3);
  // tensor label: I7
  std::unique_ptr<double[]> odata(new double[out()->get_size(c1, x0, x1, x2)]);
  std::fill_n(odata.get(), out()->get_size(c1, x0, x1, x2), 0.0);
  std::unique_ptr<double[]> odata_sorted(new double[out()->get_size(c1, x0, x1, x2)]);
  std::fill_n(odata_sorted.get(), out()->get_size(c1, x0, x1, x2), 0.0);
  for (auto& x5 : *range_[1]) {
    for (auto& x4 : *range_[1]) {
      for (auto& x3 : *range_[1]) {
        // tensor label: Gamma2
        std::unique_ptr<double[]> i0data = in(0)->get_block(x5, x4, x0, x3, x1, x2);
        std::unique_ptr<double[]> i0data_sorted(new double[in(0)->get_size(x5, x4, x0, x3, x1, x2)]);
        sort_indices<0,1,3,2,4,5,0,1,1,1>(i0data, i0data_sorted, x5.size(), x4.size(), x0.size(), x3.size(), x1.size(), x2.size());
        // tensor label: t2
        std::unique_ptr<double[]> i1data = in(1)->get_block(x5, x4, c1, x3);
        std::unique_ptr<double[]> i1data_sorted(new double[in(1)->get_size(x5, x4, c1, x3)]);
        sort_indices<0,1,3,2,0,1,2,1>(i1data, i1data_sorted, x5.size(), x4.size(), c1.size(), x3.size());
        dgemm_("T", "N", x0.size()*x1.size()*x2.size(), c1.size(), x5.size()*x4.size()*x3.size(),
               1.0, i0data_sorted, x5.size()*x4.size()*x3.size(), i1data_sorted, x5.size()*x4.size()*x3.size(),
               1.0, odata_sorted, x0.size()*x1.size()*x2.size());
      }
    }
  }
  sort_indices<3,0,1,2,1,1,1,1>(odata_sorted, odata, x0.size(), x1.size(), x2.size(), c1.size());
  out()->add_block(odata, c1, x0, x1, x2);
}

void Task62::Task_local::compute() {
  const Index x2 = b(0);
  const Index c2 = b(1);
  // tensor label: I6
  std::unique_ptr<double[]> odata(new double[out()->get_size(x2, c2)]);
  std::fill_n(odata.get(), out()->get_size(x2, c2), 0.0);
  std::unique_ptr<double[]> odata_sorted(new double[out()->get_size(x2, c2)]);
  std::fill_n(odata_sorted.get(), out()->get_size(x2, c2), 0.0);
  for (auto& x1 : *range_[1]) {
    for (auto& a1 : *range_[2]) {
      for (auto& x0 : *range_[1]) {
        // tensor label: t2
        std::unique_ptr<double[]> i0data = in(0)->get_block(x0, a1, c2, x1);
        std::unique_ptr<double[]> i0data_sorted(new double[in(0)->get_size(x0, a1, c2, x1)]);
        sort_indices<3,1,0,2,0,1,1,1>(i0data, i0data_sorted, x0.size(), a1.size(), c2.size(), x1.size());
        // tensor label: I112
        std::unique_ptr<double[]> i1data = in(1)->get_block(a1, x0, x1, x2);
        std::unique_ptr<double[]> i1data_sorted(new double[in(1)->get_size(a1, x0, x1, x2)]);
        sort_indices<2,0,1,3,0,1,1,1>(i1data, i1data_sorted, a1.size(), x0.size(), x1.size(), x2.size());
        dgemm_("T", "N", c2.size(), x2.size(), a1.size()*x0.size()*x1.size(),
               1.0, i0data_sorted, a1.size()*x0.size()*x1.size(), i1data_sorted, a1.size()*x0.size()*x1.size(),
               1.0, odata_sorted, c2.size());
      }
    }
  }
  sort_indices<1,0,1,1,1,1>(odata_sorted, odata, c2.size(), x2.size());
  out()->add_block(odata, x2, c2);
}

void Task63::Task_local::compute() {
  const Index a1 = b(0);
  const Index x0 = b(1);
  const Index x1 = b(2);
  const Index x2 = b(3);
  // tensor label: I112
  std::unique_ptr<double[]> odata(new double[out()->get_size(a1, x0, x1, x2)]);
  std::fill_n(odata.get(), out()->get_size(a1, x0, x1, x2), 0.0);
  std::unique_ptr<double[]> odata_sorted(new double[out()->get_size(a1, x0, x1, x2)]);
  std::fill_n(odata_sorted.get(), out()->get_size(a1, x0, x1, x2), 0.0);
  for (auto& x5 : *range_[1]) {
    for (auto& x4 : *range_[1]) {
      for (auto& x3 : *range_[1]) {
        // tensor label: Gamma37
        std::unique_ptr<double[]> i0data = in(0)->get_block(x5, x0, x4, x3, x1, x2);
        std::unique_ptr<double[]> i0data_sorted(new double[in(0)->get_size(x5, x0, x4, x3, x1, x2)]);
        sort_indices<0,2,3,1,4,5,0,1,1,1>(i0data, i0data_sorted, x5.size(), x0.size(), x4.size(), x3.size(), x1.size(), x2.size());
        // tensor label: t2
        std::unique_ptr<double[]> i1data = in(1)->get_block(x5, a1, x4, x3);
        std::unique_ptr<double[]> i1data_sorted(new double[in(1)->get_size(x5, a1, x4, x3)]);
        sort_indices<0,2,3,1,0,1,1,1>(i1data, i1data_sorted, x5.size(), a1.size(), x4.size(), x3.size());
        dgemm_("T", "N", x0.size()*x1.size()*x2.size(), a1.size(), x5.size()*x4.size()*x3.size(),
               1.0, i0data_sorted, x5.size()*x4.size()*x3.size(), i1data_sorted, x5.size()*x4.size()*x3.size(),
               1.0, odata_sorted, x0.size()*x1.size()*x2.size());
      }
    }
  }
  sort_indices<3,0,1,2,1,1,1,1>(odata_sorted, odata, x0.size(), x1.size(), x2.size(), a1.size());
  out()->add_block(odata, a1, x0, x1, x2);
}

void Task64::Task_local::compute() {
  const Index x2 = b(0);
  const Index a3 = b(1);
  // tensor label: r
  std::unique_ptr<double[]> odata(new double[out()->get_size(x2, a3)]);
  std::fill_n(odata.get(), out()->get_size(x2, a3), 0.0);
  {
    // tensor label: I9
    std::unique_ptr<double[]> i0data = in(0)->get_block(x2, a3);
    sort_indices<0,1,1,1,1,1>(i0data, odata, x2.size(), a3.size());
  }
  out()->add_block(odata, x2, a3);
}

void Task65::Task_local::compute() {
  const Index x2 = b(0);
  const Index a3 = b(1);
  // tensor label: I9
  std::unique_ptr<double[]> odata(new double[out()->get_size(x2, a3)]);
  std::fill_n(odata.get(), out()->get_size(x2, a3), 0.0);
  std::unique_ptr<double[]> odata_sorted(new double[out()->get_size(x2, a3)]);
  std::fill_n(odata_sorted.get(), out()->get_size(x2, a3), 0.0);
  for (auto& c1 : *range_[0]) {
    for (auto& c2 : *range_[0]) {
      for (auto& x3 : *range_[1]) {
        // tensor label: t2
        std::unique_ptr<double[]> i0data = in(0)->get_block(c1, a3, c2, x3);
        std::unique_ptr<double[]> i0data_sorted(new double[in(0)->get_size(c1, a3, c2, x3)]);
        sort_indices<0,2,3,1,0,1,1,1>(i0data, i0data_sorted, c1.size(), a3.size(), c2.size(), x3.size());
        // tensor label: I10
        std::unique_ptr<double[]> i1data = in(1)->get_block(c2, c1, x3, x2);
        std::unique_ptr<double[]> i1data_sorted(new double[in(1)->get_size(c2, c1, x3, x2)]);
        sort_indices<1,0,2,3,0,1,1,1>(i1data, i1data_sorted, c2.size(), c1.size(), x3.size(), x2.size());
        dgemm_("T", "N", a3.size(), x2.size(), c2.size()*c1.size()*x3.size(),
               1.0, i0data_sorted, c2.size()*c1.size()*x3.size(), i1data_sorted, c2.size()*c1.size()*x3.size(),
               1.0, odata_sorted, a3.size());
      }
    }
  }
  sort_indices<1,0,1,1,1,1>(odata_sorted, odata, a3.size(), x2.size());
  out()->add_block(odata, x2, a3);
}

void Task66::Task_local::compute() {
  const Index c2 = b(0);
  const Index c1 = b(1);
  const Index x3 = b(2);
  const Index x2 = b(3);
  // tensor label: I10
  std::unique_ptr<double[]> odata(new double[out()->get_size(c2, c1, x3, x2)]);
  std::fill_n(odata.get(), out()->get_size(c2, c1, x3, x2), 0.0);
  std::unique_ptr<double[]> odata_sorted(new double[out()->get_size(c2, c1, x3, x2)]);
  std::fill_n(odata_sorted.get(), out()->get_size(c2, c1, x3, x2), 0.0);
  for (auto& x1 : *range_[1]) {
    for (auto& x0 : *range_[1]) {
      // tensor label: Gamma3
      std::unique_ptr<double[]> i0data = in(0)->get_block(x1, x3, x0, x2);
      std::unique_ptr<double[]> i0data_sorted(new double[in(0)->get_size(x1, x3, x0, x2)]);
      sort_indices<0,2,1,3,0,1,1,1>(i0data, i0data_sorted, x1.size(), x3.size(), x0.size(), x2.size());
      // tensor label: t2
      std::unique_ptr<double[]> i1data = in(1)->get_block(c1, x0, c2, x1);
      std::unique_ptr<double[]> i1data_sorted(new double[in(1)->get_size(c1, x0, c2, x1)]);
      sort_indices<3,1,0,2,0,1,-2,1>(i1data, i1data_sorted, c1.size(), x0.size(), c2.size(), x1.size());
      dgemm_("T", "N", x3.size()*x2.size(), c2.size()*c1.size(), x1.size()*x0.size(),
             1.0, i0data_sorted, x1.size()*x0.size(), i1data_sorted, x1.size()*x0.size(),
             1.0, odata_sorted, x3.size()*x2.size());
    }
  }
  sort_indices<3,2,0,1,1,1,1,1>(odata_sorted, odata, x3.size(), x2.size(), c1.size(), c2.size());
  out()->add_block(odata, c2, c1, x3, x2);
}

void Task67::Task_local::compute() {
  const Index x2 = b(0);
  const Index a3 = b(1);
  // tensor label: I9
  std::unique_ptr<double[]> odata(new double[out()->get_size(x2, a3)]);
  std::fill_n(odata.get(), out()->get_size(x2, a3), 0.0);
  std::unique_ptr<double[]> odata_sorted(new double[out()->get_size(x2, a3)]);
  std::fill_n(odata_sorted.get(), out()->get_size(x2, a3), 0.0);
  for (auto& x3 : *range_[1]) {
    for (auto& c2 : *range_[0]) {
      for (auto& a1 : *range_[2]) {
        // tensor label: t2
        std::unique_ptr<double[]> i0data = in(0)->get_block(x3, a3, c2, a1);
        std::unique_ptr<double[]> i0data_sorted(new double[in(0)->get_size(x3, a3, c2, a1)]);
        sort_indices<0,2,3,1,0,1,1,1>(i0data, i0data_sorted, x3.size(), a3.size(), c2.size(), a1.size());
        // tensor label: I121
        std::unique_ptr<double[]> i1data = in(1)->get_block(c2, a1, x3, x2);
        std::unique_ptr<double[]> i1data_sorted(new double[in(1)->get_size(c2, a1, x3, x2)]);
        sort_indices<2,0,1,3,0,1,1,1>(i1data, i1data_sorted, c2.size(), a1.size(), x3.size(), x2.size());
        dgemm_("T", "N", a3.size(), x2.size(), c2.size()*a1.size()*x3.size(),
               1.0, i0data_sorted, c2.size()*a1.size()*x3.size(), i1data_sorted, c2.size()*a1.size()*x3.size(),
               1.0, odata_sorted, a3.size());
      }
    }
  }
  sort_indices<1,0,1,1,1,1>(odata_sorted, odata, a3.size(), x2.size());
  out()->add_block(odata, x2, a3);
}

void Task68::Task_local::compute() {
  const Index c2 = b(0);
  const Index a1 = b(1);
  const Index x3 = b(2);
  const Index x2 = b(3);
  // tensor label: I121
  std::unique_ptr<double[]> odata(new double[out()->get_size(c2, a1, x3, x2)]);
  std::fill_n(odata.get(), out()->get_size(c2, a1, x3, x2), 0.0);
  std::unique_ptr<double[]> odata_sorted(new double[out()->get_size(c2, a1, x3, x2)]);
  std::fill_n(odata_sorted.get(), out()->get_size(c2, a1, x3, x2), 0.0);
  for (auto& x1 : *range_[1]) {
    for (auto& x0 : *range_[1]) {
      // tensor label: Gamma40
      std::unique_ptr<double[]> i0data = in(0)->get_block(x1, x0, x3, x2);
      std::unique_ptr<double[]> i0data_sorted(new double[in(0)->get_size(x1, x0, x3, x2)]);
      sort_indices<0,1,2,3,0,1,1,1>(i0data, i0data_sorted, x1.size(), x0.size(), x3.size(), x2.size());
      // tensor label: t2
      std::unique_ptr<double[]> i1data = in(1)->get_block(x0, a1, c2, x1);
      std::unique_ptr<double[]> i1data_sorted(new double[in(1)->get_size(x0, a1, c2, x1)]);
      sort_indices<3,0,1,2,0,1,-1,1>(i1data, i1data_sorted, x0.size(), a1.size(), c2.size(), x1.size());
      dgemm_("T", "N", x3.size()*x2.size(), c2.size()*a1.size(), x1.size()*x0.size(),
             1.0, i0data_sorted, x1.size()*x0.size(), i1data_sorted, x1.size()*x0.size(),
             1.0, odata_sorted, x3.size()*x2.size());
    }
  }
  sort_indices<3,2,0,1,1,1,1,1>(odata_sorted, odata, x3.size(), x2.size(), a1.size(), c2.size());
  out()->add_block(odata, c2, a1, x3, x2);
}

void Task69::Task_local::compute() {
  const Index x2 = b(0);
  const Index a3 = b(1);
  // tensor label: I9
  std::unique_ptr<double[]> odata(new double[out()->get_size(x2, a3)]);
  std::fill_n(odata.get(), out()->get_size(x2, a3), 0.0);
  std::unique_ptr<double[]> odata_sorted(new double[out()->get_size(x2, a3)]);
  std::fill_n(odata_sorted.get(), out()->get_size(x2, a3), 0.0);
  for (auto& x3 : *range_[1]) {
    for (auto& a1 : *range_[2]) {
      for (auto& c2 : *range_[0]) {
        // tensor label: t2
        std::unique_ptr<double[]> i0data = in(0)->get_block(x3, a1, c2, a3);
        std::unique_ptr<double[]> i0data_sorted(new double[in(0)->get_size(x3, a1, c2, a3)]);
        sort_indices<0,1,2,3,0,1,1,1>(i0data, i0data_sorted, x3.size(), a1.size(), c2.size(), a3.size());
        // tensor label: I124
        std::unique_ptr<double[]> i1data = in(1)->get_block(c2, a1, x3, x2);
        std::unique_ptr<double[]> i1data_sorted(new double[in(1)->get_size(c2, a1, x3, x2)]);
        sort_indices<2,1,0,3,0,1,1,1>(i1data, i1data_sorted, c2.size(), a1.size(), x3.size(), x2.size());
        dgemm_("T", "N", a3.size(), x2.size(), c2.size()*a1.size()*x3.size(),
               1.0, i0data_sorted, c2.size()*a1.size()*x3.size(), i1data_sorted, c2.size()*a1.size()*x3.size(),
               1.0, odata_sorted, a3.size());
      }
    }
  }
  sort_indices<1,0,1,1,1,1>(odata_sorted, odata, a3.size(), x2.size());
  out()->add_block(odata, x2, a3);
}

void Task70::Task_local::compute() {
  const Index c2 = b(0);
  const Index a1 = b(1);
  const Index x3 = b(2);
  const Index x2 = b(3);
  // tensor label: I124
  std::unique_ptr<double[]> odata(new double[out()->get_size(c2, a1, x3, x2)]);
  std::fill_n(odata.get(), out()->get_size(c2, a1, x3, x2), 0.0);
  std::unique_ptr<double[]> odata_sorted(new double[out()->get_size(c2, a1, x3, x2)]);
  std::fill_n(odata_sorted.get(), out()->get_size(c2, a1, x3, x2), 0.0);
  for (auto& x0 : *range_[1]) {
    for (auto& x1 : *range_[1]) {
      // tensor label: Gamma32
      std::unique_ptr<double[]> i0data = in(0)->get_block(x3, x0, x1, x2);
      std::unique_ptr<double[]> i0data_sorted(new double[in(0)->get_size(x3, x0, x1, x2)]);
      sort_indices<1,2,0,3,0,1,1,1>(i0data, i0data_sorted, x3.size(), x0.size(), x1.size(), x2.size());
      // tensor label: t2
      std::unique_ptr<double[]> i1data = in(1)->get_block(x0, a1, c2, x1);
      std::unique_ptr<double[]> i1data_sorted(new double[in(1)->get_size(x0, a1, c2, x1)]);
      sort_indices<0,3,1,2,0,1,1,1>(i1data, i1data_sorted, x0.size(), a1.size(), c2.size(), x1.size());
      dgemm_("T", "N", x3.size()*x2.size(), c2.size()*a1.size(), x1.size()*x0.size(),
             1.0, i0data_sorted, x1.size()*x0.size(), i1data_sorted, x1.size()*x0.size(),
             1.0, odata_sorted, x3.size()*x2.size());
    }
  }
  sort_indices<3,2,0,1,1,1,1,1>(odata_sorted, odata, x3.size(), x2.size(), a1.size(), c2.size());
  out()->add_block(odata, c2, a1, x3, x2);
}

void Task71::Task_local::compute() {
  const Index x2 = b(0);
  const Index a3 = b(1);
  // tensor label: I9
  std::unique_ptr<double[]> odata(new double[out()->get_size(x2, a3)]);
  std::fill_n(odata.get(), out()->get_size(x2, a3), 0.0);
  std::unique_ptr<double[]> odata_sorted(new double[out()->get_size(x2, a3)]);
  std::fill_n(odata_sorted.get(), out()->get_size(x2, a3), 0.0);
  for (auto& x3 : *range_[1]) {
    for (auto& c1 : *range_[0]) {
      for (auto& a2 : *range_[2]) {
        // tensor label: t2
        std::unique_ptr<double[]> i0data = in(0)->get_block(x3, a3, c1, a2);
        std::unique_ptr<double[]> i0data_sorted(new double[in(0)->get_size(x3, a3, c1, a2)]);
        sort_indices<0,2,3,1,0,1,1,1>(i0data, i0data_sorted, x3.size(), a3.size(), c1.size(), a2.size());
        // tensor label: I163
        std::unique_ptr<double[]> i1data = in(1)->get_block(a2, c1, x3, x2);
        std::unique_ptr<double[]> i1data_sorted(new double[in(1)->get_size(a2, c1, x3, x2)]);
        sort_indices<2,1,0,3,0,1,1,1>(i1data, i1data_sorted, a2.size(), c1.size(), x3.size(), x2.size());
        dgemm_("T", "N", a3.size(), x2.size(), a2.size()*c1.size()*x3.size(),
               1.0, i0data_sorted, a2.size()*c1.size()*x3.size(), i1data_sorted, a2.size()*c1.size()*x3.size(),
               1.0, odata_sorted, a3.size());
      }
    }
  }
  sort_indices<1,0,1,1,1,1>(odata_sorted, odata, a3.size(), x2.size());
  out()->add_block(odata, x2, a3);
}

void Task72::Task_local::compute() {
  const Index a2 = b(0);
  const Index c1 = b(1);
  const Index x3 = b(2);
  const Index x2 = b(3);
  // tensor label: I163
  std::unique_ptr<double[]> odata(new double[out()->get_size(a2, c1, x3, x2)]);
  std::fill_n(odata.get(), out()->get_size(a2, c1, x3, x2), 0.0);
  std::unique_ptr<double[]> odata_sorted(new double[out()->get_size(a2, c1, x3, x2)]);
  std::fill_n(odata_sorted.get(), out()->get_size(a2, c1, x3, x2), 0.0);
  for (auto& x1 : *range_[1]) {
    for (auto& x0 : *range_[1]) {
      // tensor label: Gamma40
      std::unique_ptr<double[]> i0data = in(0)->get_block(x1, x0, x3, x2);
      std::unique_ptr<double[]> i0data_sorted(new double[in(0)->get_size(x1, x0, x3, x2)]);
      sort_indices<0,1,2,3,0,1,1,1>(i0data, i0data_sorted, x1.size(), x0.size(), x3.size(), x2.size());
      // tensor label: t2
      std::unique_ptr<double[]> i1data = in(1)->get_block(c1, a2, x0, x1);
      std::unique_ptr<double[]> i1data_sorted(new double[in(1)->get_size(c1, a2, x0, x1)]);
      sort_indices<3,2,0,1,0,1,2,1>(i1data, i1data_sorted, c1.size(), a2.size(), x0.size(), x1.size());
      dgemm_("T", "N", x3.size()*x2.size(), a2.size()*c1.size(), x1.size()*x0.size(),
             1.0, i0data_sorted, x1.size()*x0.size(), i1data_sorted, x1.size()*x0.size(),
             1.0, odata_sorted, x3.size()*x2.size());
    }
  }
  sort_indices<3,2,0,1,1,1,1,1>(odata_sorted, odata, x3.size(), x2.size(), c1.size(), a2.size());
  out()->add_block(odata, a2, c1, x3, x2);
}

void Task73::Task_local::compute() {
  const Index x2 = b(0);
  const Index a3 = b(1);
  // tensor label: I9
  std::unique_ptr<double[]> odata(new double[out()->get_size(x2, a3)]);
  std::fill_n(odata.get(), out()->get_size(x2, a3), 0.0);
  std::unique_ptr<double[]> odata_sorted(new double[out()->get_size(x2, a3)]);
  std::fill_n(odata_sorted.get(), out()->get_size(x2, a3), 0.0);
  for (auto& x3 : *range_[1]) {
    for (auto& a2 : *range_[2]) {
      for (auto& c1 : *range_[0]) {
        // tensor label: t2
        std::unique_ptr<double[]> i0data = in(0)->get_block(x3, a2, c1, a3);
        std::unique_ptr<double[]> i0data_sorted(new double[in(0)->get_size(x3, a2, c1, a3)]);
        sort_indices<0,1,2,3,0,1,1,1>(i0data, i0data_sorted, x3.size(), a2.size(), c1.size(), a3.size());
        // tensor label: I166
        std::unique_ptr<double[]> i1data = in(1)->get_block(a2, c1, x3, x2);
        std::unique_ptr<double[]> i1data_sorted(new double[in(1)->get_size(a2, c1, x3, x2)]);
        sort_indices<2,0,1,3,0,1,1,1>(i1data, i1data_sorted, a2.size(), c1.size(), x3.size(), x2.size());
        dgemm_("T", "N", a3.size(), x2.size(), a2.size()*c1.size()*x3.size(),
               1.0, i0data_sorted, a2.size()*c1.size()*x3.size(), i1data_sorted, a2.size()*c1.size()*x3.size(),
               1.0, odata_sorted, a3.size());
      }
    }
  }
  sort_indices<1,0,1,1,1,1>(odata_sorted, odata, a3.size(), x2.size());
  out()->add_block(odata, x2, a3);
}

void Task74::Task_local::compute() {
  const Index a2 = b(0);
  const Index c1 = b(1);
  const Index x3 = b(2);
  const Index x2 = b(3);
  // tensor label: I166
  std::unique_ptr<double[]> odata(new double[out()->get_size(a2, c1, x3, x2)]);
  std::fill_n(odata.get(), out()->get_size(a2, c1, x3, x2), 0.0);
  std::unique_ptr<double[]> odata_sorted(new double[out()->get_size(a2, c1, x3, x2)]);
  std::fill_n(odata_sorted.get(), out()->get_size(a2, c1, x3, x2), 0.0);
  for (auto& x1 : *range_[1]) {
    for (auto& x0 : *range_[1]) {
      // tensor label: Gamma40
      std::unique_ptr<double[]> i0data = in(0)->get_block(x1, x0, x3, x2);
      std::unique_ptr<double[]> i0data_sorted(new double[in(0)->get_size(x1, x0, x3, x2)]);
      sort_indices<0,1,2,3,0,1,1,1>(i0data, i0data_sorted, x1.size(), x0.size(), x3.size(), x2.size());
      // tensor label: t2
      std::unique_ptr<double[]> i1data = in(1)->get_block(c1, a2, x0, x1);
      std::unique_ptr<double[]> i1data_sorted(new double[in(1)->get_size(c1, a2, x0, x1)]);
      sort_indices<3,2,0,1,0,1,-1,1>(i1data, i1data_sorted, c1.size(), a2.size(), x0.size(), x1.size());
      dgemm_("T", "N", x3.size()*x2.size(), a2.size()*c1.size(), x1.size()*x0.size(),
             1.0, i0data_sorted, x1.size()*x0.size(), i1data_sorted, x1.size()*x0.size(),
             1.0, odata_sorted, x3.size()*x2.size());
    }
  }
  sort_indices<3,2,0,1,1,1,1,1>(odata_sorted, odata, x3.size(), x2.size(), c1.size(), a2.size());
  out()->add_block(odata, a2, c1, x3, x2);
}

void Task75::Task_local::compute() {
  const Index c2 = b(0);
  const Index x3 = b(1);
  // tensor label: r
  std::unique_ptr<double[]> odata(new double[out()->get_size(c2, x3)]);
  std::fill_n(odata.get(), out()->get_size(c2, x3), 0.0);
  {
    // tensor label: I12
    std::unique_ptr<double[]> i0data = in(0)->get_block(x3, c2);
    sort_indices<1,0,1,1,1,1>(i0data, odata, x3.size(), c2.size());
  }
  out()->add_block(odata, c2, x3);
}

void Task76::Task_local::compute() {
  const Index x3 = b(0);
  const Index c2 = b(1);
  // tensor label: I12
  std::unique_ptr<double[]> odata(new double[out()->get_size(x3, c2)]);
  std::fill_n(odata.get(), out()->get_size(x3, c2), 0.0);
  std::unique_ptr<double[]> odata_sorted(new double[out()->get_size(x3, c2)]);
  std::fill_n(odata_sorted.get(), out()->get_size(x3, c2), 0.0);
  for (auto& c1 : *range_[0]) {
    for (auto& x5 : *range_[1]) {
      for (auto& x4 : *range_[1]) {
        // tensor label: t2
        std::unique_ptr<double[]> i0data = in(0)->get_block(c1, x5, c2, x4);
        std::unique_ptr<double[]> i0data_sorted(new double[in(0)->get_size(c1, x5, c2, x4)]);
        sort_indices<0,1,3,2,0,1,1,1>(i0data, i0data_sorted, c1.size(), x5.size(), c2.size(), x4.size());
        // tensor label: I13
        std::unique_ptr<double[]> i1data = in(1)->get_block(c1, x5, x3, x4);
        std::unique_ptr<double[]> i1data_sorted(new double[in(1)->get_size(c1, x5, x3, x4)]);
        sort_indices<0,1,3,2,0,1,1,1>(i1data, i1data_sorted, c1.size(), x5.size(), x3.size(), x4.size());
        dgemm_("T", "N", c2.size(), x3.size(), c1.size()*x5.size()*x4.size(),
               1.0, i0data_sorted, c1.size()*x5.size()*x4.size(), i1data_sorted, c1.size()*x5.size()*x4.size(),
               1.0, odata_sorted, c2.size());
      }
    }
  }
  sort_indices<1,0,1,1,1,1>(odata_sorted, odata, c2.size(), x3.size());
  out()->add_block(odata, x3, c2);
}

void Task77::Task_local::compute() {
  const Index c1 = b(0);
  const Index x5 = b(1);
  const Index x3 = b(2);
  const Index x4 = b(3);
  // tensor label: I13
  std::unique_ptr<double[]> odata(new double[out()->get_size(c1, x5, x3, x4)]);
  std::fill_n(odata.get(), out()->get_size(c1, x5, x3, x4), 0.0);
  std::unique_ptr<double[]> odata_sorted(new double[out()->get_size(c1, x5, x3, x4)]);
  std::fill_n(odata_sorted.get(), out()->get_size(c1, x5, x3, x4), 0.0);
  for (auto& x2 : *range_[1]) {
    for (auto& x1 : *range_[1]) {
      for (auto& x0 : *range_[1]) {
        // tensor label: Gamma4
        std::unique_ptr<double[]> i0data = in(0)->get_block(x2, x5, x1, x0, x3, x4);
        std::unique_ptr<double[]> i0data_sorted(new double[in(0)->get_size(x2, x5, x1, x0, x3, x4)]);
        sort_indices<0,2,3,1,4,5,0,1,1,1>(i0data, i0data_sorted, x2.size(), x5.size(), x1.size(), x0.size(), x3.size(), x4.size());
        // tensor label: t2
        std::unique_ptr<double[]> i1data = in(1)->get_block(x0, x1, c1, x2);
        std::unique_ptr<double[]> i1data_sorted(new double[in(1)->get_size(x0, x1, c1, x2)]);
        sort_indices<3,1,0,2,0,1,2,1>(i1data, i1data_sorted, x0.size(), x1.size(), c1.size(), x2.size());
        dgemm_("T", "N", x5.size()*x3.size()*x4.size(), c1.size(), x2.size()*x1.size()*x0.size(),
               1.0, i0data_sorted, x2.size()*x1.size()*x0.size(), i1data_sorted, x2.size()*x1.size()*x0.size(),
               1.0, odata_sorted, x5.size()*x3.size()*x4.size());
      }
    }
  }
  sort_indices<3,0,1,2,1,1,1,1>(odata_sorted, odata, x5.size(), x3.size(), x4.size(), c1.size());
  out()->add_block(odata, c1, x5, x3, x4);
}

void Task78::Task_local::compute() {
  const Index x3 = b(0);
  const Index c2 = b(1);
  // tensor label: I12
  std::unique_ptr<double[]> odata(new double[out()->get_size(x3, c2)]);
  std::fill_n(odata.get(), out()->get_size(x3, c2), 0.0);
  std::unique_ptr<double[]> odata_sorted(new double[out()->get_size(x3, c2)]);
  std::fill_n(odata_sorted.get(), out()->get_size(x3, c2), 0.0);
  for (auto& x5 : *range_[1]) {
    for (auto& a1 : *range_[2]) {
      for (auto& x4 : *range_[1]) {
        // tensor label: t2
        std::unique_ptr<double[]> i0data = in(0)->get_block(x5, a1, c2, x4);
        std::unique_ptr<double[]> i0data_sorted(new double[in(0)->get_size(x5, a1, c2, x4)]);
        sort_indices<0,1,3,2,0,1,1,1>(i0data, i0data_sorted, x5.size(), a1.size(), c2.size(), x4.size());
        // tensor label: I169
        std::unique_ptr<double[]> i1data = in(1)->get_block(a1, x5, x3, x4);
        std::unique_ptr<double[]> i1data_sorted(new double[in(1)->get_size(a1, x5, x3, x4)]);
        sort_indices<1,0,3,2,0,1,1,1>(i1data, i1data_sorted, a1.size(), x5.size(), x3.size(), x4.size());
        dgemm_("T", "N", c2.size(), x3.size(), a1.size()*x5.size()*x4.size(),
               1.0, i0data_sorted, a1.size()*x5.size()*x4.size(), i1data_sorted, a1.size()*x5.size()*x4.size(),
               1.0, odata_sorted, c2.size());
      }
    }
  }
  sort_indices<1,0,1,1,1,1>(odata_sorted, odata, c2.size(), x3.size());
  out()->add_block(odata, x3, c2);
}

void Task79::Task_local::compute() {
  const Index a1 = b(0);
  const Index x5 = b(1);
  const Index x3 = b(2);
  const Index x4 = b(3);
  // tensor label: I169
  std::unique_ptr<double[]> odata(new double[out()->get_size(a1, x5, x3, x4)]);
  std::fill_n(odata.get(), out()->get_size(a1, x5, x3, x4), 0.0);
  std::unique_ptr<double[]> odata_sorted(new double[out()->get_size(a1, x5, x3, x4)]);
  std::fill_n(odata_sorted.get(), out()->get_size(a1, x5, x3, x4), 0.0);
  for (auto& x0 : *range_[1]) {
    for (auto& x2 : *range_[1]) {
      for (auto& x1 : *range_[1]) {
        // tensor label: Gamma56
        std::unique_ptr<double[]> i0data = in(0)->get_block(x5, x0, x2, x1, x3, x4);
        std::unique_ptr<double[]> i0data_sorted(new double[in(0)->get_size(x5, x0, x2, x1, x3, x4)]);
        sort_indices<1,2,3,0,4,5,0,1,1,1>(i0data, i0data_sorted, x5.size(), x0.size(), x2.size(), x1.size(), x3.size(), x4.size());
        // tensor label: t2
        std::unique_ptr<double[]> i1data = in(1)->get_block(x0, a1, x1, x2);
        std::unique_ptr<double[]> i1data_sorted(new double[in(1)->get_size(x0, a1, x1, x2)]);
        sort_indices<0,3,2,1,0,1,1,1>(i1data, i1data_sorted, x0.size(), a1.size(), x1.size(), x2.size());
        dgemm_("T", "N", x5.size()*x3.size()*x4.size(), a1.size(), x2.size()*x1.size()*x0.size(),
               1.0, i0data_sorted, x2.size()*x1.size()*x0.size(), i1data_sorted, x2.size()*x1.size()*x0.size(),
               1.0, odata_sorted, x5.size()*x3.size()*x4.size());
      }
    }
  }
  sort_indices<3,0,1,2,1,1,1,1>(odata_sorted, odata, x5.size(), x3.size(), x4.size(), a1.size());
  out()->add_block(odata, a1, x5, x3, x4);
}

void Task80::Task_local::compute() {
  const Index x3 = b(0);
  const Index c2 = b(1);
  // tensor label: I12
  std::unique_ptr<double[]> odata(new double[out()->get_size(x3, c2)]);
  std::fill_n(odata.get(), out()->get_size(x3, c2), 0.0);
  std::unique_ptr<double[]> odata_sorted(new double[out()->get_size(x3, c2)]);
  std::fill_n(odata_sorted.get(), out()->get_size(x3, c2), 0.0);
  for (auto& a1 : *range_[2]) {
    for (auto& x5 : *range_[1]) {
      for (auto& x4 : *range_[1]) {
        // tensor label: t2
        std::unique_ptr<double[]> i0data = in(0)->get_block(c2, a1, x5, x4);
        std::unique_ptr<double[]> i0data_sorted(new double[in(0)->get_size(c2, a1, x5, x4)]);
        sort_indices<1,2,3,0,0,1,1,1>(i0data, i0data_sorted, c2.size(), a1.size(), x5.size(), x4.size());
        // tensor label: I172
        std::unique_ptr<double[]> i1data = in(1)->get_block(a1, x5, x4, x3);
        std::unique_ptr<double[]> i1data_sorted(new double[in(1)->get_size(a1, x5, x4, x3)]);
        sort_indices<0,1,2,3,0,1,1,1>(i1data, i1data_sorted, a1.size(), x5.size(), x4.size(), x3.size());
        dgemm_("T", "N", c2.size(), x3.size(), a1.size()*x5.size()*x4.size(),
               1.0, i0data_sorted, a1.size()*x5.size()*x4.size(), i1data_sorted, a1.size()*x5.size()*x4.size(),
               1.0, odata_sorted, c2.size());
      }
    }
  }
  sort_indices<1,0,1,1,1,1>(odata_sorted, odata, c2.size(), x3.size());
  out()->add_block(odata, x3, c2);
}

void Task81::Task_local::compute() {
  const Index a1 = b(0);
  const Index x5 = b(1);
  const Index x4 = b(2);
  const Index x3 = b(3);
  // tensor label: I172
  std::unique_ptr<double[]> odata(new double[out()->get_size(a1, x5, x4, x3)]);
  std::fill_n(odata.get(), out()->get_size(a1, x5, x4, x3), 0.0);
  std::unique_ptr<double[]> odata_sorted(new double[out()->get_size(a1, x5, x4, x3)]);
  std::fill_n(odata_sorted.get(), out()->get_size(a1, x5, x4, x3), 0.0);
  for (auto& x2 : *range_[1]) {
    for (auto& x1 : *range_[1]) {
      for (auto& x0 : *range_[1]) {
        // tensor label: Gamma57
        std::unique_ptr<double[]> i0data = in(0)->get_block(x5, x4, x2, x1, x3, x0);
        std::unique_ptr<double[]> i0data_sorted(new double[in(0)->get_size(x5, x4, x2, x1, x3, x0)]);
        sort_indices<2,3,5,0,1,4,0,1,1,1>(i0data, i0data_sorted, x5.size(), x4.size(), x2.size(), x1.size(), x3.size(), x0.size());
        // tensor label: t2
        std::unique_ptr<double[]> i1data = in(1)->get_block(x0, a1, x1, x2);
        std::unique_ptr<double[]> i1data_sorted(new double[in(1)->get_size(x0, a1, x1, x2)]);
        sort_indices<3,2,0,1,0,1,-1,1>(i1data, i1data_sorted, x0.size(), a1.size(), x1.size(), x2.size());
        dgemm_("T", "N", x5.size()*x4.size()*x3.size(), a1.size(), x2.size()*x1.size()*x0.size(),
               1.0, i0data_sorted, x2.size()*x1.size()*x0.size(), i1data_sorted, x2.size()*x1.size()*x0.size(),
               1.0, odata_sorted, x5.size()*x4.size()*x3.size());
      }
    }
  }
  sort_indices<3,0,1,2,1,1,1,1>(odata_sorted, odata, x5.size(), x4.size(), x3.size(), a1.size());
  out()->add_block(odata, a1, x5, x4, x3);
}

void Task82::Task_local::compute() {
  const Index x3 = b(0);
  const Index x4 = b(1);
  // tensor label: r
  std::unique_ptr<double[]> odata(new double[out()->get_size(x3, x4)]);
  std::fill_n(odata.get(), out()->get_size(x3, x4), 0.0);
  {
    // tensor label: I15
    std::unique_ptr<double[]> i0data = in(0)->get_block(x4, x3);
    sort_indices<1,0,1,1,1,1>(i0data, odata, x4.size(), x3.size());
  }
  out()->add_block(odata, x3, x4);
}

void Task83::Task_local::compute() {
  const Index x4 = b(0);
  const Index x3 = b(1);
  // tensor label: I15
  std::unique_ptr<double[]> odata(new double[out()->get_size(x4, x3)]);
  std::fill_n(odata.get(), out()->get_size(x4, x3), 0.0);
  std::unique_ptr<double[]> odata_sorted(new double[out()->get_size(x4, x3)]);
  std::fill_n(odata_sorted.get(), out()->get_size(x4, x3), 0.0);
  for (auto& x7 : *range_[1]) {
    for (auto& x6 : *range_[1]) {
      for (auto& x2 : *range_[1]) {
        for (auto& x5 : *range_[1]) {
          for (auto& x1 : *range_[1]) {
            for (auto& x0 : *range_[1]) {
              // tensor label: Gamma5
              std::unique_ptr<double[]> i0data = in(0)->get_block(x7, x6, x2, x5, x1, x0, x4, x3);
              std::unique_ptr<double[]> i0data_sorted(new double[in(0)->get_size(x7, x6, x2, x5, x1, x0, x4, x3)]);
              sort_indices<0,1,2,3,4,5,6,7,0,1,1,1>(i0data, i0data_sorted, x7.size(), x6.size(), x2.size(), x5.size(), x1.size(), x0.size(), x4.size(), x3.size());
              // tensor label: I16
              std::unique_ptr<double[]> i1data = in(1)->get_block(x7, x6, x5, x2, x1, x0);
              std::unique_ptr<double[]> i1data_sorted(new double[in(1)->get_size(x7, x6, x5, x2, x1, x0)]);
              sort_indices<0,1,3,2,4,5,0,1,1,1>(i1data, i1data_sorted, x7.size(), x6.size(), x5.size(), x2.size(), x1.size(), x0.size());
              dgemm_("T", "N", x4.size()*x3.size(), 1, x7.size()*x6.size()*x5.size()*x2.size()*x1.size()*x0.size(),
                     1.0, i0data_sorted, x7.size()*x6.size()*x5.size()*x2.size()*x1.size()*x0.size(), i1data_sorted, x7.size()*x6.size()*x5.size()*x2.size()*x1.size()*x0.size(),
                     1.0, odata_sorted, x4.size()*x3.size());
            }
          }
        }
      }
    }
  }
  sort_indices<0,1,1,1,1,1>(odata_sorted, odata, x4.size(), x3.size());
  out()->add_block(odata, x4, x3);
}

void Task84::Task_local::compute() {
  const Index x7 = b(0);
  const Index x6 = b(1);
  const Index x5 = b(2);
  const Index x2 = b(3);
  const Index x1 = b(4);
  const Index x0 = b(5);
  // tensor label: I16
  std::unique_ptr<double[]> odata(new double[out()->get_size(x7, x6, x5, x2, x1, x0)]);
  std::fill_n(odata.get(), out()->get_size(x7, x6, x5, x2, x1, x0), 0.0);
  std::unique_ptr<double[]> odata_sorted(new double[out()->get_size(x7, x6, x5, x2, x1, x0)]);
  std::fill_n(odata_sorted.get(), out()->get_size(x7, x6, x5, x2, x1, x0), 0.0);
  for (auto& c1 : *range_[0]) {
    // tensor label: t2
    std::unique_ptr<double[]> i0data = in(0)->get_block(x0, x1, c1, x2);
    std::unique_ptr<double[]> i0data_sorted(new double[in(0)->get_size(x0, x1, c1, x2)]);
    sort_indices<2,0,1,3,0,1,1,1>(i0data, i0data_sorted, x0.size(), x1.size(), c1.size(), x2.size());
    // tensor label: t2
    std::unique_ptr<double[]> i1data = in(0)->get_block(x7, x6, c1, x5);
    std::unique_ptr<double[]> i1data_sorted(new double[in(0)->get_size(x7, x6, c1, x5)]);
    sort_indices<2,0,1,3,0,1,1,1>(i1data, i1data_sorted, x7.size(), x6.size(), c1.size(), x5.size());
    dgemm_("T", "N", x2.size()*x1.size()*x0.size(), x7.size()*x6.size()*x5.size(), c1.size(),
           1.0, i0data_sorted, c1.size(), i1data_sorted, c1.size(),
           1.0, odata_sorted, x2.size()*x1.size()*x0.size());
  }
  sort_indices<3,4,5,2,1,0,1,1,1,1>(odata_sorted, odata, x0.size(), x1.size(), x2.size(), x7.size(), x6.size(), x5.size());
  out()->add_block(odata, x7, x6, x5, x2, x1, x0);
}

void Task85::Task_local::compute() {
  const Index x4 = b(0);
  const Index x3 = b(1);
  // tensor label: I15
  std::unique_ptr<double[]> odata(new double[out()->get_size(x4, x3)]);
  std::fill_n(odata.get(), out()->get_size(x4, x3), 0.0);
  std::unique_ptr<double[]> odata_sorted(new double[out()->get_size(x4, x3)]);
  std::fill_n(odata_sorted.get(), out()->get_size(x4, x3), 0.0);
  for (auto& x7 : *range_[1]) {
    for (auto& x0 : *range_[1]) {
      for (auto& x6 : *range_[1]) {
        for (auto& x5 : *range_[1]) {
          for (auto& x2 : *range_[1]) {
            for (auto& x1 : *range_[1]) {
              // tensor label: Gamma58
              std::unique_ptr<double[]> i0data = in(0)->get_block(x7, x0, x6, x5, x2, x1, x4, x3);
              std::unique_ptr<double[]> i0data_sorted(new double[in(0)->get_size(x7, x0, x6, x5, x2, x1, x4, x3)]);
              sort_indices<0,1,2,3,4,5,6,7,0,1,1,1>(i0data, i0data_sorted, x7.size(), x0.size(), x6.size(), x5.size(), x2.size(), x1.size(), x4.size(), x3.size());
              // tensor label: I175
              std::unique_ptr<double[]> i1data = in(1)->get_block(x7, x6, x5, x2, x1, x0);
              std::unique_ptr<double[]> i1data_sorted(new double[in(1)->get_size(x7, x6, x5, x2, x1, x0)]);
              sort_indices<0,5,1,2,3,4,0,1,1,1>(i1data, i1data_sorted, x7.size(), x6.size(), x5.size(), x2.size(), x1.size(), x0.size());
              dgemm_("T", "N", x4.size()*x3.size(), 1, x7.size()*x6.size()*x5.size()*x2.size()*x1.size()*x0.size(),
                     1.0, i0data_sorted, x7.size()*x6.size()*x5.size()*x2.size()*x1.size()*x0.size(), i1data_sorted, x7.size()*x6.size()*x5.size()*x2.size()*x1.size()*x0.size(),
                     1.0, odata_sorted, x4.size()*x3.size());
            }
          }
        }
      }
    }
  }
  sort_indices<0,1,1,1,1,1>(odata_sorted, odata, x4.size(), x3.size());
  out()->add_block(odata, x4, x3);
}

void Task86::Task_local::compute() {
  const Index x7 = b(0);
  const Index x6 = b(1);
  const Index x5 = b(2);
  const Index x2 = b(3);
  const Index x1 = b(4);
  const Index x0 = b(5);
  // tensor label: I175
  std::unique_ptr<double[]> odata(new double[out()->get_size(x7, x6, x5, x2, x1, x0)]);
  std::fill_n(odata.get(), out()->get_size(x7, x6, x5, x2, x1, x0), 0.0);
  std::unique_ptr<double[]> odata_sorted(new double[out()->get_size(x7, x6, x5, x2, x1, x0)]);
  std::fill_n(odata_sorted.get(), out()->get_size(x7, x6, x5, x2, x1, x0), 0.0);
  for (auto& a1 : *range_[2]) {
    // tensor label: t2
    std::unique_ptr<double[]> i0data = in(0)->get_block(x0, a1, x1, x2);
    std::unique_ptr<double[]> i0data_sorted(new double[in(0)->get_size(x0, a1, x1, x2)]);
    sort_indices<1,0,2,3,0,1,1,1>(i0data, i0data_sorted, x0.size(), a1.size(), x1.size(), x2.size());
    // tensor label: t2
    std::unique_ptr<double[]> i1data = in(0)->get_block(x7, a1, x6, x5);
    std::unique_ptr<double[]> i1data_sorted(new double[in(0)->get_size(x7, a1, x6, x5)]);
    sort_indices<1,0,2,3,0,1,1,1>(i1data, i1data_sorted, x7.size(), a1.size(), x6.size(), x5.size());
    dgemm_("T", "N", x2.size()*x1.size()*x0.size(), x7.size()*x6.size()*x5.size(), a1.size(),
           1.0, i0data_sorted, a1.size(), i1data_sorted, a1.size(),
           1.0, odata_sorted, x2.size()*x1.size()*x0.size());
  }
  sort_indices<3,4,5,2,1,0,1,1,1,1>(odata_sorted, odata, x0.size(), x1.size(), x2.size(), x7.size(), x6.size(), x5.size());
  out()->add_block(odata, x7, x6, x5, x2, x1, x0);
}

void Task87::Task_local::compute() {
  const Index c2 = b(0);
  const Index c1 = b(1);
  // tensor label: r
  std::unique_ptr<double[]> odata(new double[out()->get_size(c2, c1)]);
  std::fill_n(odata.get(), out()->get_size(c2, c1), 0.0);
  {
    // tensor label: I18
    std::unique_ptr<double[]> i0data = in(0)->get_block(c1, c2);
    sort_indices<1,0,1,1,1,1>(i0data, odata, c1.size(), c2.size());
  }
  out()->add_block(odata, c2, c1);
}

void Task88::Task_local::compute() {
  const Index c1 = b(0);
  const Index c2 = b(1);
  // tensor label: I18
  std::unique_ptr<double[]> odata(new double[out()->get_size(c1, c2)]);
  std::fill_n(odata.get(), out()->get_size(c1, c2), 0.0);
  std::unique_ptr<double[]> odata_sorted(new double[out()->get_size(c1, c2)]);
  std::fill_n(odata_sorted.get(), out()->get_size(c1, c2), 0.0);
  for (auto& x5 : *range_[1]) {
    for (auto& x4 : *range_[1]) {
      for (auto& x3 : *range_[1]) {
        // tensor label: t2
        std::unique_ptr<double[]> i0data = in(0)->get_block(x5, x4, c2, x3);
        std::unique_ptr<double[]> i0data_sorted(new double[in(0)->get_size(x5, x4, c2, x3)]);
        sort_indices<0,1,3,2,0,1,1,1>(i0data, i0data_sorted, x5.size(), x4.size(), c2.size(), x3.size());
        // tensor label: I19
        std::unique_ptr<double[]> i1data = in(1)->get_block(c1, x5, x4, x3);
        std::unique_ptr<double[]> i1data_sorted(new double[in(1)->get_size(c1, x5, x4, x3)]);
        sort_indices<1,2,3,0,0,1,1,1>(i1data, i1data_sorted, c1.size(), x5.size(), x4.size(), x3.size());
        dgemm_("T", "N", c2.size(), c1.size(), x5.size()*x4.size()*x3.size(),
               1.0, i0data_sorted, x5.size()*x4.size()*x3.size(), i1data_sorted, x5.size()*x4.size()*x3.size(),
               1.0, odata_sorted, c2.size());
      }
    }
  }
  sort_indices<1,0,1,1,1,1>(odata_sorted, odata, c2.size(), c1.size());
  out()->add_block(odata, c1, c2);
}

void Task89::Task_local::compute() {
  const Index c1 = b(0);
  const Index x5 = b(1);
  const Index x4 = b(2);
  const Index x3 = b(3);
  // tensor label: I19
  std::unique_ptr<double[]> odata(new double[out()->get_size(c1, x5, x4, x3)]);
  std::fill_n(odata.get(), out()->get_size(c1, x5, x4, x3), 0.0);
  std::unique_ptr<double[]> odata_sorted(new double[out()->get_size(c1, x5, x4, x3)]);
  std::fill_n(odata_sorted.get(), out()->get_size(c1, x5, x4, x3), 0.0);
  for (auto& x1 : *range_[1]) {
    for (auto& x0 : *range_[1]) {
      for (auto& x2 : *range_[1]) {
        // tensor label: Gamma6
        std::unique_ptr<double[]> i0data = in(0)->get_block(x5, x4, x1, x0, x2, x3);
        std::unique_ptr<double[]> i0data_sorted(new double[in(0)->get_size(x5, x4, x1, x0, x2, x3)]);
        sort_indices<2,3,4,0,1,5,0,1,1,1>(i0data, i0data_sorted, x5.size(), x4.size(), x1.size(), x0.size(), x2.size(), x3.size());
        // tensor label: t2
        std::unique_ptr<double[]> i1data = in(1)->get_block(x0, x1, c1, x2);
        std::unique_ptr<double[]> i1data_sorted(new double[in(1)->get_size(x0, x1, c1, x2)]);
        sort_indices<1,0,3,2,0,1,-1,1>(i1data, i1data_sorted, x0.size(), x1.size(), c1.size(), x2.size());
        dgemm_("T", "N", x5.size()*x4.size()*x3.size(), c1.size(), x2.size()*x1.size()*x0.size(),
               1.0, i0data_sorted, x2.size()*x1.size()*x0.size(), i1data_sorted, x2.size()*x1.size()*x0.size(),
               1.0, odata_sorted, x5.size()*x4.size()*x3.size());
      }
    }
  }
  sort_indices<3,0,1,2,1,1,1,1>(odata_sorted, odata, x5.size(), x4.size(), x3.size(), c1.size());
  out()->add_block(odata, c1, x5, x4, x3);
}

void Task90::Task_local::compute() {
  const Index c2 = b(0);
  const Index a3 = b(1);
  // tensor label: r
  std::unique_ptr<double[]> odata(new double[out()->get_size(c2, a3)]);
  std::fill_n(odata.get(), out()->get_size(c2, a3), 0.0);
  {
    // tensor label: I21
    std::unique_ptr<double[]> i0data = in(0)->get_block(c2, a3);
    sort_indices<0,1,1,1,1,1>(i0data, odata, c2.size(), a3.size());
  }
  out()->add_block(odata, c2, a3);
}

void Task91::Task_local::compute() {
  const Index c2 = b(0);
  const Index a3 = b(1);
  // tensor label: I21
  std::unique_ptr<double[]> odata(new double[out()->get_size(c2, a3)]);
  std::fill_n(odata.get(), out()->get_size(c2, a3), 0.0);
  std::unique_ptr<double[]> odata_sorted(new double[out()->get_size(c2, a3)]);
  std::fill_n(odata_sorted.get(), out()->get_size(c2, a3), 0.0);
  for (auto& c1 : *range_[0]) {
    for (auto& x3 : *range_[1]) {
      // tensor label: t2
      std::unique_ptr<double[]> i0data = in(0)->get_block(c2, a3, c1, x3);
      std::unique_ptr<double[]> i0data_sorted(new double[in(0)->get_size(c2, a3, c1, x3)]);
      sort_indices<2,3,0,1,0,1,1,1>(i0data, i0data_sorted, c2.size(), a3.size(), c1.size(), x3.size());
      // tensor label: I22
      std::unique_ptr<double[]> i1data = in(1)->get_block(c1, x3);
      std::unique_ptr<double[]> i1data_sorted(new double[in(1)->get_size(c1, x3)]);
      sort_indices<0,1,0,1,1,1>(i1data, i1data_sorted, c1.size(), x3.size());
      dgemm_("T", "N", c2.size()*a3.size(), 1, c1.size()*x3.size(),
             1.0, i0data_sorted, c1.size()*x3.size(), i1data_sorted, c1.size()*x3.size(),
             1.0, odata_sorted, c2.size()*a3.size());
    }
  }
  sort_indices<0,1,1,1,1,1>(odata_sorted, odata, c2.size(), a3.size());
  out()->add_block(odata, c2, a3);
}

void Task92::Task_local::compute() {
  const Index c1 = b(0);
  const Index x3 = b(1);
  // tensor label: I22
  std::unique_ptr<double[]> odata(new double[out()->get_size(c1, x3)]);
  std::fill_n(odata.get(), out()->get_size(c1, x3), 0.0);
  std::unique_ptr<double[]> odata_sorted(new double[out()->get_size(c1, x3)]);
  std::fill_n(odata_sorted.get(), out()->get_size(c1, x3), 0.0);
  for (auto& x2 : *range_[1]) {
    for (auto& x1 : *range_[1]) {
      for (auto& x0 : *range_[1]) {
        // tensor label: Gamma7
        std::unique_ptr<double[]> i0data = in(0)->get_block(x2, x3, x1, x0);
        std::unique_ptr<double[]> i0data_sorted(new double[in(0)->get_size(x2, x3, x1, x0)]);
        sort_indices<0,2,3,1,0,1,1,1>(i0data, i0data_sorted, x2.size(), x3.size(), x1.size(), x0.size());
        // tensor label: t2
        std::unique_ptr<double[]> i1data = in(1)->get_block(x0, x1, c1, x2);
        std::unique_ptr<double[]> i1data_sorted(new double[in(1)->get_size(x0, x1, c1, x2)]);
        sort_indices<3,1,0,2,0,1,1,1>(i1data, i1data_sorted, x0.size(), x1.size(), c1.size(), x2.size());
        dgemm_("T", "N", x3.size(), c1.size(), x2.size()*x1.size()*x0.size(),
               1.0, i0data_sorted, x2.size()*x1.size()*x0.size(), i1data_sorted, x2.size()*x1.size()*x0.size(),
               1.0, odata_sorted, x3.size());
      }
    }
  }
  sort_indices<1,0,1,1,1,1>(odata_sorted, odata, x3.size(), c1.size());
  out()->add_block(odata, c1, x3);
}

void Task93::Task_local::compute() {
  const Index c2 = b(0);
  const Index a3 = b(1);
  // tensor label: I21
  std::unique_ptr<double[]> odata(new double[out()->get_size(c2, a3)]);
  std::fill_n(odata.get(), out()->get_size(c2, a3), 0.0);
  std::unique_ptr<double[]> odata_sorted(new double[out()->get_size(c2, a3)]);
  std::fill_n(odata_sorted.get(), out()->get_size(c2, a3), 0.0);
  for (auto& c1 : *range_[0]) {
    for (auto& x3 : *range_[1]) {
      // tensor label: t2
      std::unique_ptr<double[]> i0data = in(0)->get_block(c1, a3, c2, x3);
      std::unique_ptr<double[]> i0data_sorted(new double[in(0)->get_size(c1, a3, c2, x3)]);
      sort_indices<0,3,1,2,0,1,1,1>(i0data, i0data_sorted, c1.size(), a3.size(), c2.size(), x3.size());
      // tensor label: I25
      std::unique_ptr<double[]> i1data = in(1)->get_block(c1, x3);
      std::unique_ptr<double[]> i1data_sorted(new double[in(1)->get_size(c1, x3)]);
      sort_indices<0,1,0,1,1,1>(i1data, i1data_sorted, c1.size(), x3.size());
      dgemm_("T", "N", a3.size()*c2.size(), 1, c1.size()*x3.size(),
             1.0, i0data_sorted, c1.size()*x3.size(), i1data_sorted, c1.size()*x3.size(),
             1.0, odata_sorted, a3.size()*c2.size());
    }
  }
  sort_indices<1,0,1,1,1,1>(odata_sorted, odata, a3.size(), c2.size());
  out()->add_block(odata, c2, a3);
}

void Task94::Task_local::compute() {
  const Index c1 = b(0);
  const Index x3 = b(1);
  // tensor label: I25
  std::unique_ptr<double[]> odata(new double[out()->get_size(c1, x3)]);
  std::fill_n(odata.get(), out()->get_size(c1, x3), 0.0);
  std::unique_ptr<double[]> odata_sorted(new double[out()->get_size(c1, x3)]);
  std::fill_n(odata_sorted.get(), out()->get_size(c1, x3), 0.0);
  for (auto& x1 : *range_[1]) {
    for (auto& x0 : *range_[1]) {
      for (auto& x2 : *range_[1]) {
        // tensor label: Gamma8
        std::unique_ptr<double[]> i0data = in(0)->get_block(x1, x0, x2, x3);
        std::unique_ptr<double[]> i0data_sorted(new double[in(0)->get_size(x1, x0, x2, x3)]);
        sort_indices<0,1,2,3,0,1,1,1>(i0data, i0data_sorted, x1.size(), x0.size(), x2.size(), x3.size());
        // tensor label: t2
        std::unique_ptr<double[]> i1data = in(1)->get_block(x0, x1, c1, x2);
        std::unique_ptr<double[]> i1data_sorted(new double[in(1)->get_size(x0, x1, c1, x2)]);
        sort_indices<1,0,3,2,0,1,-1,1>(i1data, i1data_sorted, x0.size(), x1.size(), c1.size(), x2.size());
        dgemm_("T", "N", x3.size(), c1.size(), x2.size()*x1.size()*x0.size(),
               1.0, i0data_sorted, x2.size()*x1.size()*x0.size(), i1data_sorted, x2.size()*x1.size()*x0.size(),
               1.0, odata_sorted, x3.size());
      }
    }
  }
  sort_indices<1,0,1,1,1,1>(odata_sorted, odata, x3.size(), c1.size());
  out()->add_block(odata, c1, x3);
}

void Task95::Task_local::compute() {
  const Index c2 = b(0);
  const Index a3 = b(1);
  // tensor label: I21
  std::unique_ptr<double[]> odata(new double[out()->get_size(c2, a3)]);
  std::fill_n(odata.get(), out()->get_size(c2, a3), 0.0);
  std::unique_ptr<double[]> odata_sorted(new double[out()->get_size(c2, a3)]);
  std::fill_n(odata_sorted.get(), out()->get_size(c2, a3), 0.0);
  for (auto& x3 : *range_[1]) {
    for (auto& a1 : *range_[2]) {
      // tensor label: t2
      std::unique_ptr<double[]> i0data = in(0)->get_block(x3, a3, c2, a1);
      std::unique_ptr<double[]> i0data_sorted(new double[in(0)->get_size(x3, a3, c2, a1)]);
      sort_indices<0,3,1,2,0,1,1,1>(i0data, i0data_sorted, x3.size(), a3.size(), c2.size(), a1.size());
      // tensor label: I181
      std::unique_ptr<double[]> i1data = in(1)->get_block(a1, x3);
      std::unique_ptr<double[]> i1data_sorted(new double[in(1)->get_size(a1, x3)]);
      sort_indices<1,0,0,1,1,1>(i1data, i1data_sorted, a1.size(), x3.size());
      dgemm_("T", "N", a3.size()*c2.size(), 1, a1.size()*x3.size(),
             1.0, i0data_sorted, a1.size()*x3.size(), i1data_sorted, a1.size()*x3.size(),
             1.0, odata_sorted, a3.size()*c2.size());
    }
  }
  sort_indices<1,0,1,1,1,1>(odata_sorted, odata, a3.size(), c2.size());
  out()->add_block(odata, c2, a3);
}

void Task96::Task_local::compute() {
  const Index a1 = b(0);
  const Index x3 = b(1);
  // tensor label: I181
  std::unique_ptr<double[]> odata(new double[out()->get_size(a1, x3)]);
  std::fill_n(odata.get(), out()->get_size(a1, x3), 0.0);
  std::unique_ptr<double[]> odata_sorted(new double[out()->get_size(a1, x3)]);
  std::fill_n(odata_sorted.get(), out()->get_size(a1, x3), 0.0);
  for (auto& x2 : *range_[1]) {
    for (auto& x1 : *range_[1]) {
      for (auto& x0 : *range_[1]) {
        // tensor label: Gamma60
        std::unique_ptr<double[]> i0data = in(0)->get_block(x2, x1, x3, x0);
        std::unique_ptr<double[]> i0data_sorted(new double[in(0)->get_size(x2, x1, x3, x0)]);
        sort_indices<0,1,3,2,0,1,1,1>(i0data, i0data_sorted, x2.size(), x1.size(), x3.size(), x0.size());
        // tensor label: t2
        std::unique_ptr<double[]> i1data = in(1)->get_block(x0, a1, x1, x2);
        std::unique_ptr<double[]> i1data_sorted(new double[in(1)->get_size(x0, a1, x1, x2)]);
        sort_indices<3,2,0,1,0,1,-1,1>(i1data, i1data_sorted, x0.size(), a1.size(), x1.size(), x2.size());
        dgemm_("T", "N", x3.size(), a1.size(), x2.size()*x1.size()*x0.size(),
               1.0, i0data_sorted, x2.size()*x1.size()*x0.size(), i1data_sorted, x2.size()*x1.size()*x0.size(),
               1.0, odata_sorted, x3.size());
      }
    }
  }
  sort_indices<1,0,1,1,1,1>(odata_sorted, odata, x3.size(), a1.size());
  out()->add_block(odata, a1, x3);
}

void Task97::Task_local::compute() {
  const Index c2 = b(0);
  const Index a3 = b(1);
  // tensor label: I21
  std::unique_ptr<double[]> odata(new double[out()->get_size(c2, a3)]);
  std::fill_n(odata.get(), out()->get_size(c2, a3), 0.0);
  std::unique_ptr<double[]> odata_sorted(new double[out()->get_size(c2, a3)]);
  std::fill_n(odata_sorted.get(), out()->get_size(c2, a3), 0.0);
  for (auto& x3 : *range_[1]) {
    for (auto& a1 : *range_[2]) {
      // tensor label: t2
      std::unique_ptr<double[]> i0data = in(0)->get_block(x3, a1, c2, a3);
      std::unique_ptr<double[]> i0data_sorted(new double[in(0)->get_size(x3, a1, c2, a3)]);
      sort_indices<0,1,2,3,0,1,1,1>(i0data, i0data_sorted, x3.size(), a1.size(), c2.size(), a3.size());
      // tensor label: I184
      std::unique_ptr<double[]> i1data = in(1)->get_block(a1, x3);
      std::unique_ptr<double[]> i1data_sorted(new double[in(1)->get_size(a1, x3)]);
      sort_indices<1,0,0,1,1,1>(i1data, i1data_sorted, a1.size(), x3.size());
      dgemm_("T", "N", c2.size()*a3.size(), 1, a1.size()*x3.size(),
             1.0, i0data_sorted, a1.size()*x3.size(), i1data_sorted, a1.size()*x3.size(),
             1.0, odata_sorted, c2.size()*a3.size());
    }
  }
  sort_indices<0,1,1,1,1,1>(odata_sorted, odata, c2.size(), a3.size());
  out()->add_block(odata, c2, a3);
}

void Task98::Task_local::compute() {
  const Index a1 = b(0);
  const Index x3 = b(1);
  // tensor label: I184
  std::unique_ptr<double[]> odata(new double[out()->get_size(a1, x3)]);
  std::fill_n(odata.get(), out()->get_size(a1, x3), 0.0);
  std::unique_ptr<double[]> odata_sorted(new double[out()->get_size(a1, x3)]);
  std::fill_n(odata_sorted.get(), out()->get_size(a1, x3), 0.0);
  for (auto& x0 : *range_[1]) {
    for (auto& x2 : *range_[1]) {
      for (auto& x1 : *range_[1]) {
        // tensor label: Gamma61
        std::unique_ptr<double[]> i0data = in(0)->get_block(x3, x0, x2, x1);
        std::unique_ptr<double[]> i0data_sorted(new double[in(0)->get_size(x3, x0, x2, x1)]);
        sort_indices<1,2,3,0,0,1,1,1>(i0data, i0data_sorted, x3.size(), x0.size(), x2.size(), x1.size());
        // tensor label: t2
        std::unique_ptr<double[]> i1data = in(1)->get_block(x0, a1, x1, x2);
        std::unique_ptr<double[]> i1data_sorted(new double[in(1)->get_size(x0, a1, x1, x2)]);
        sort_indices<0,3,2,1,0,1,1,1>(i1data, i1data_sorted, x0.size(), a1.size(), x1.size(), x2.size());
        dgemm_("T", "N", x3.size(), a1.size(), x2.size()*x1.size()*x0.size(),
               1.0, i0data_sorted, x2.size()*x1.size()*x0.size(), i1data_sorted, x2.size()*x1.size()*x0.size(),
               1.0, odata_sorted, x3.size());
      }
    }
  }
  sort_indices<1,0,1,1,1,1>(odata_sorted, odata, x3.size(), a1.size());
  out()->add_block(odata, a1, x3);
}

void Task99::Task_local::compute() {
  const Index x3 = b(0);
  const Index a2 = b(1);
  // tensor label: r
  std::unique_ptr<double[]> odata(new double[out()->get_size(x3, a2)]);
  std::fill_n(odata.get(), out()->get_size(x3, a2), 0.0);
  {
    // tensor label: I27
    std::unique_ptr<double[]> i0data = in(0)->get_block(x3, a2);
    sort_indices<0,1,1,1,1,1>(i0data, odata, x3.size(), a2.size());
  }
  out()->add_block(odata, x3, a2);
}

#endif
