// SPDX-License-Identifier: Apache-2.0
//
// Copyright 2008-2016 Conrad Sanderson (http://conradsanderson.id.au)
// Copyright 2008-2016 National ICT Australia (NICTA)
//
// Licensed under the Apache License, Version 2.0 (the "License");
// you may not use this file except in compliance with the License.
// You may obtain a copy of the License at
// http://www.apache.org/licenses/LICENSE-2.0
//
// Unless required by applicable law or agreed to in writing, software
// distributed under the License is distributed on an "AS IS" BASIS,
// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
// See the License for the specific language governing permissions and
// limitations under the License.
// ------------------------------------------------------------------------

//! \addtogroup op_cx_scalar
//! @{

template <typename T1>
inline void op_cx_scalar_times::apply(
    Mat<typename std::complex<typename T1::pod_type> >& out,
    const mtOp<typename std::complex<typename T1::pod_type>, T1, op_cx_scalar_times>& X) {
  arma_debug_sigprint();

  typedef typename std::complex<typename T1::pod_type> eT;

  const Proxy<T1> A(X.m);

  const uword n_rows = A.get_n_rows();
  const uword n_cols = A.get_n_cols();

  out.set_size(n_rows, n_cols);

  const eT k = X.aux_out_eT;
  eT* out_mem = out.memptr();

  if (Proxy<T1>::use_at == false) {
    const uword n_elem = A.get_n_elem();

    for (uword i = 0; i < n_elem; ++i) {
      out_mem[i] = A[i] * k;
    }
  } else {
    for (uword col = 0; col < n_cols; ++col)
      for (uword row = 0; row < n_rows; ++row) {
        *out_mem = A.at(row, col) * k;
        ++out_mem;
      }
  }
}

template <typename T1>
inline void op_cx_scalar_plus::apply(
    Mat<typename std::complex<typename T1::pod_type> >& out,
    const mtOp<typename std::complex<typename T1::pod_type>, T1, op_cx_scalar_plus>& X) {
  arma_debug_sigprint();

  typedef typename std::complex<typename T1::pod_type> eT;

  const Proxy<T1> A(X.m);

  const uword n_rows = A.get_n_rows();
  const uword n_cols = A.get_n_cols();

  out.set_size(n_rows, n_cols);

  const eT k = X.aux_out_eT;
  eT* out_mem = out.memptr();

  if (Proxy<T1>::use_at == false) {
    const uword n_elem = A.get_n_elem();

    for (uword i = 0; i < n_elem; ++i) {
      out_mem[i] = A[i] + k;
    }
  } else {
    for (uword col = 0; col < n_cols; ++col)
      for (uword row = 0; row < n_rows; ++row) {
        *out_mem = A.at(row, col) + k;
        ++out_mem;
      }
  }
}

template <typename T1>
inline void op_cx_scalar_minus_pre::apply(
    Mat<typename std::complex<typename T1::pod_type> >& out,
    const mtOp<typename std::complex<typename T1::pod_type>, T1, op_cx_scalar_minus_pre>&
        X) {
  arma_debug_sigprint();

  typedef typename std::complex<typename T1::pod_type> eT;

  const Proxy<T1> A(X.m);

  const uword n_rows = A.get_n_rows();
  const uword n_cols = A.get_n_cols();

  out.set_size(n_rows, n_cols);

  const eT k = X.aux_out_eT;
  eT* out_mem = out.memptr();

  if (Proxy<T1>::use_at == false) {
    const uword n_elem = A.get_n_elem();

    for (uword i = 0; i < n_elem; ++i) {
      out_mem[i] = k - A[i];
    }
  } else {
    for (uword col = 0; col < n_cols; ++col)
      for (uword row = 0; row < n_rows; ++row) {
        *out_mem = k - A.at(row, col);
        ++out_mem;
      }
  }
}

template <typename T1>
inline void op_cx_scalar_minus_post::apply(
    Mat<typename std::complex<typename T1::pod_type> >& out,
    const mtOp<typename std::complex<typename T1::pod_type>, T1, op_cx_scalar_minus_post>&
        X) {
  arma_debug_sigprint();

  typedef typename std::complex<typename T1::pod_type> eT;

  const Proxy<T1> A(X.m);

  const uword n_rows = A.get_n_rows();
  const uword n_cols = A.get_n_cols();

  out.set_size(n_rows, n_cols);

  const eT k = X.aux_out_eT;
  eT* out_mem = out.memptr();

  if (Proxy<T1>::use_at == false) {
    const uword n_elem = A.get_n_elem();

    for (uword i = 0; i < n_elem; ++i) {
      out_mem[i] = A[i] - k;
    }
  } else {
    for (uword col = 0; col < n_cols; ++col)
      for (uword row = 0; row < n_rows; ++row) {
        *out_mem = A.at(row, col) - k;
        ++out_mem;
      }
  }
}

template <typename T1>
inline void op_cx_scalar_div_pre::apply(
    Mat<typename std::complex<typename T1::pod_type> >& out,
    const mtOp<typename std::complex<typename T1::pod_type>, T1, op_cx_scalar_div_pre>&
        X) {
  arma_debug_sigprint();

  typedef typename std::complex<typename T1::pod_type> eT;

  const Proxy<T1> A(X.m);

  const uword n_rows = A.get_n_rows();
  const uword n_cols = A.get_n_cols();

  out.set_size(n_rows, n_cols);

  const eT k = X.aux_out_eT;
  eT* out_mem = out.memptr();

  if (Proxy<T1>::use_at == false) {
    const uword n_elem = A.get_n_elem();

    for (uword i = 0; i < n_elem; ++i) {
      out_mem[i] = k / A[i];
    }
  } else {
    for (uword col = 0; col < n_cols; ++col)
      for (uword row = 0; row < n_rows; ++row) {
        *out_mem = k / A.at(row, col);
        ++out_mem;
      }
  }
}

template <typename T1>
inline void op_cx_scalar_div_post::apply(
    Mat<typename std::complex<typename T1::pod_type> >& out,
    const mtOp<typename std::complex<typename T1::pod_type>, T1, op_cx_scalar_div_post>&
        X) {
  arma_debug_sigprint();

  typedef typename std::complex<typename T1::pod_type> eT;

  const Proxy<T1> A(X.m);

  const uword n_rows = A.get_n_rows();
  const uword n_cols = A.get_n_cols();

  out.set_size(n_rows, n_cols);

  const eT k = X.aux_out_eT;
  eT* out_mem = out.memptr();

  if (Proxy<T1>::use_at == false) {
    const uword n_elem = A.get_n_elem();

    for (uword i = 0; i < n_elem; ++i) {
      out_mem[i] = A[i] / k;
    }
  } else {
    for (uword col = 0; col < n_cols; ++col)
      for (uword row = 0; row < n_rows; ++row) {
        *out_mem = A.at(row, col) / k;
        ++out_mem;
      }
  }
}

//
//
//

template <typename T1>
inline void op_cx_scalar_times::apply(
    Cube<typename std::complex<typename T1::pod_type> >& out,
    const mtOpCube<typename std::complex<typename T1::pod_type>, T1, op_cx_scalar_times>&
        X) {
  arma_debug_sigprint();

  typedef typename std::complex<typename T1::pod_type> eT;

  const ProxyCube<T1> A(X.m);

  const uword n_rows = A.get_n_rows();
  const uword n_cols = A.get_n_cols();
  const uword n_slices = A.get_n_slices();

  out.set_size(n_rows, n_cols, n_slices);

  const eT k = X.aux_out_eT;
  const uword n_elem = out.n_elem;
  eT* out_mem = out.memptr();

  if (ProxyCube<T1>::use_at == false) {
    for (uword i = 0; i < n_elem; ++i) {
      out_mem[i] = A[i] * k;
    }
  } else {
    for (uword slice = 0; slice < n_slices; ++slice)
      for (uword col = 0; col < n_cols; ++col)
        for (uword row = 0; row < n_rows; ++row) {
          *out_mem = A.at(row, col, slice) * k;
          ++out_mem;
        }
  }
}

template <typename T1>
inline void op_cx_scalar_plus::apply(
    Cube<typename std::complex<typename T1::pod_type> >& out,
    const mtOpCube<typename std::complex<typename T1::pod_type>, T1, op_cx_scalar_plus>&
        X) {
  arma_debug_sigprint();

  typedef typename std::complex<typename T1::pod_type> eT;

  const ProxyCube<T1> A(X.m);

  const uword n_rows = A.get_n_rows();
  const uword n_cols = A.get_n_cols();
  const uword n_slices = A.get_n_slices();

  out.set_size(n_rows, n_cols, n_slices);

  const eT k = X.aux_out_eT;
  const uword n_elem = out.n_elem;
  eT* out_mem = out.memptr();

  if (ProxyCube<T1>::use_at == false) {
    for (uword i = 0; i < n_elem; ++i) {
      out_mem[i] = A[i] + k;
    }
  } else {
    for (uword slice = 0; slice < n_slices; ++slice)
      for (uword col = 0; col < n_cols; ++col)
        for (uword row = 0; row < n_rows; ++row) {
          *out_mem = A.at(row, col, slice) + k;
          ++out_mem;
        }
  }
}

template <typename T1>
inline void op_cx_scalar_minus_pre::apply(
    Cube<typename std::complex<typename T1::pod_type> >& out,
    const mtOpCube<typename std::complex<typename T1::pod_type>, T1,
                   op_cx_scalar_minus_pre>& X) {
  arma_debug_sigprint();

  typedef typename std::complex<typename T1::pod_type> eT;

  const ProxyCube<T1> A(X.m);

  const uword n_rows = A.get_n_rows();
  const uword n_cols = A.get_n_cols();
  const uword n_slices = A.get_n_slices();

  out.set_size(n_rows, n_cols, n_slices);

  const eT k = X.aux_out_eT;
  const uword n_elem = out.n_elem;
  eT* out_mem = out.memptr();

  if (ProxyCube<T1>::use_at == false) {
    for (uword i = 0; i < n_elem; ++i) {
      out_mem[i] = k - A[i];
    }
  } else {
    for (uword slice = 0; slice < n_slices; ++slice)
      for (uword col = 0; col < n_cols; ++col)
        for (uword row = 0; row < n_rows; ++row) {
          *out_mem = k - A.at(row, col, slice);
          ++out_mem;
        }
  }
}

template <typename T1>
inline void op_cx_scalar_minus_post::apply(
    Cube<typename std::complex<typename T1::pod_type> >& out,
    const mtOpCube<typename std::complex<typename T1::pod_type>, T1,
                   op_cx_scalar_minus_post>& X) {
  arma_debug_sigprint();

  typedef typename std::complex<typename T1::pod_type> eT;

  const ProxyCube<T1> A(X.m);

  const uword n_rows = A.get_n_rows();
  const uword n_cols = A.get_n_cols();
  const uword n_slices = A.get_n_slices();

  out.set_size(n_rows, n_cols, n_slices);

  const eT k = X.aux_out_eT;
  const uword n_elem = out.n_elem;
  eT* out_mem = out.memptr();

  if (ProxyCube<T1>::use_at == false) {
    for (uword i = 0; i < n_elem; ++i) {
      out_mem[i] = A[i] - k;
    }
  } else {
    for (uword slice = 0; slice < n_slices; ++slice)
      for (uword col = 0; col < n_cols; ++col)
        for (uword row = 0; row < n_rows; ++row) {
          *out_mem = A.at(row, col, slice) - k;
          ++out_mem;
        }
  }
}

template <typename T1>
inline void op_cx_scalar_div_pre::apply(
    Cube<typename std::complex<typename T1::pod_type> >& out,
    const mtOpCube<typename std::complex<typename T1::pod_type>, T1,
                   op_cx_scalar_div_pre>& X) {
  arma_debug_sigprint();

  typedef typename std::complex<typename T1::pod_type> eT;

  const ProxyCube<T1> A(X.m);

  const uword n_rows = A.get_n_rows();
  const uword n_cols = A.get_n_cols();
  const uword n_slices = A.get_n_slices();

  out.set_size(n_rows, n_cols, n_slices);

  const eT k = X.aux_out_eT;
  const uword n_elem = out.n_elem;
  eT* out_mem = out.memptr();

  if (ProxyCube<T1>::use_at == false) {
    for (uword i = 0; i < n_elem; ++i) {
      out_mem[i] = k / A[i];
    }
  } else {
    for (uword slice = 0; slice < n_slices; ++slice)
      for (uword col = 0; col < n_cols; ++col)
        for (uword row = 0; row < n_rows; ++row) {
          *out_mem = k / A.at(row, col, slice);
          ++out_mem;
        }
  }
}

template <typename T1>
inline void op_cx_scalar_div_post::apply(
    Cube<typename std::complex<typename T1::pod_type> >& out,
    const mtOpCube<typename std::complex<typename T1::pod_type>, T1,
                   op_cx_scalar_div_post>& X) {
  arma_debug_sigprint();

  typedef typename std::complex<typename T1::pod_type> eT;

  const ProxyCube<T1> A(X.m);

  const uword n_rows = A.get_n_rows();
  const uword n_cols = A.get_n_cols();
  const uword n_slices = A.get_n_slices();

  out.set_size(n_rows, n_cols, n_slices);

  const eT k = X.aux_out_eT;
  const uword n_elem = out.n_elem;
  eT* out_mem = out.memptr();

  if (ProxyCube<T1>::use_at == false) {
    for (uword i = 0; i < n_elem; ++i) {
      out_mem[i] = A[i] / k;
    }
  } else {
    for (uword slice = 0; slice < n_slices; ++slice)
      for (uword col = 0; col < n_cols; ++col)
        for (uword row = 0; row < n_rows; ++row) {
          *out_mem = A.at(row, col, slice) / k;
          ++out_mem;
        }
  }
}

//! @}
