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// @HEADER
// ***********************************************************************
//
//          Tpetra: Templated Linear Algebra Services Package
//                 Copyright (2008) Sandia Corporation
//
// Under the terms of Contract DE-AC04-94AL85000 with Sandia Corporation,
// the U.S. Government retains certain rights in this software.
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// modification, are permitted provided that the following conditions are
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// 1. Redistributions of source code must retain the above copyright
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// documentation and/or other materials provided with the distribution.
//
// 3. Neither the name of the Corporation nor the names of the
// contributors may be used to endorse or promote products derived from
// this software without specific prior written permission.
//
// THIS SOFTWARE IS PROVIDED BY SANDIA CORPORATION "AS IS" AND ANY
// EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE
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// @HEADER

#ifndef KOKKOS_SPARSE_FINDRELOFFSET_HPP
#define KOKKOS_SPARSE_FINDRELOFFSET_HPP

/// \file Kokkos_Sparse_findRelOffset.hpp
/// \brief Find the relative offset of a column index in a sparse
///   graph's or sparse matrix's row.

#include "Kokkos_Macros.hpp" // KOKKOS_FUNCTION
#include <type_traits>

namespace KokkosSparse {
  /// \brief Search <tt>indsToSearch[0 .. numEnt-1]</tt> for
  ///   \c indToFind, using equality comparison.
  ///
  /// \return If found, return index of \c indToFind in \c indsToSearch;
  ///   else, return \c numEnt (by analogy with C++ Standard Library
  ///   functions like std::find, that return "the end of the sequence"
  ///   in this case).
  ///
  /// \tparam OffsetType Integer type that can be used to represent any
  ///   valid index in \c indsToSearch, up to and including \c numEnt.
  /// \tparam IndexViewType 1-D array of equality-comparable entries
  ///   (generally intended to be column indices).  This may a 1-D
  ///   Kokkos::View, a raw 1-D array, or any type that implements
  ///   operator[](OffsetType).
  ///
  /// \param indsToSearch [in] Array of indices to search.  For a
  ///   sparse graph or matrix, this is the array of all the column
  ///   indices for some row of the graph / matrix.
  /// \param numEnt [in] Number of entries in \c indsToSearch to
  ///   search.  This is a separate argument, first so that this
  ///   function works with raw arrays as well as Kokkos::View, and
  ///   second so that users don't have to incur the overhead of
  ///   calling Kokkos::subview to limit the length of a View.  The
  ///   latter may be particularly helpful for the case of the
  ///   begin/end-pointer variant of CSR graph/matrix storage.
  /// \param indToFind [in] (Local) column index for which to find the
  ///   offset.  This has the same type as that of each entry in
  ///   \c indsToSearch.
  /// \param hint [in] Hint for where to find \c indToFind in the array.
  ///   If <tt>indsToSearch[hint] == indToFind</tt>, then the hint is
  ///   correct.  The hint is ignored if it is out of range (that is,
  ///   greater than or equal to the number of entries in the given
  ///   row).
  /// \param isSorted [in] Whether the input array of indices to search
  ///   is sorted in increasing order.
  ///
  /// The hint optimizes for the case of calling this method several
  /// times with the same sparse graph / matrix row, when several
  /// index inputs occur in consecutive sequence.  This may occur (for
  /// example) when there are multiple degrees of freedom per mesh
  /// point, and users are handling the assignment of degrees of
  /// freedom to global indices manually (rather than letting some
  /// other class take care of it).  In that case, users might choose
  /// to assign the degrees of freedom for a mesh point to consecutive
  /// global indices.  Epetra implements the hint for this reason.
  ///
  /// The hint only costs two comparisons (one to check range, and the
  /// other to see if the hint was correct), and it can save searching
  /// for the indices (which may take a lot more than two
  /// comparisons).
  ///
  /// \note To implementers: We put <tt>indsToSearch</tt> before
  ///   <tt>indToFind</tt> so that we can derive the type of
  ///   <tt>indToFind</tt> directly from that of each entry of
  ///   <tt>indsToSearch</tt>, without needing <tt>IndexViewType</tt>
  ///   to be a Kokkos::View.  Thankfully, arguments to a C++ function
  ///   behave more like LET* than LET (in ANSI Common Lisp terms).
  template<class OffsetType, class IndexViewType>
  KOKKOS_FUNCTION OffsetType
  findRelOffset (const IndexViewType& indsToSearch,
                 const OffsetType numEnt,
                 /* typename IndexViewType::const_value_type */
                 const typename std::decay<decltype (indsToSearch[0]) >::type indToFind,
                 const OffsetType hint,
                 const bool isSorted)
  {
    // IndexViewType doesn't have to be a Kokkos::View; it just has to
    // implement operator[] like a 1-D array.
    //
    // static_assert (Kokkos::is_view<IndexViewType>::value,
    //                 "IndexViewType must be a Kokkos::View");
    // static_assert (static_cast<int> (IndexViewType::rank) == 1,
    //                 "IndexViewType must be a rank-1 Kokkos::View");
    static_assert (std::is_integral<OffsetType>::value,
                   "OffsetType must be an integer.");

    if (hint < numEnt && indsToSearch[hint] == indToFind) {
      return hint; // hint was correct
    }

    // Even if the array is sorted, use linear search if the number of
    // entries is small ("small" is a tuning parameter; feel free to
    // tune for your architecture).  'constexpr' promises the compiler
    // that it can bake this constant as a literal into the code.
    constexpr OffsetType linearSearchThreshold = 16;

    if (! isSorted || numEnt < linearSearchThreshold) {
      for (OffsetType k = 0; k < numEnt; ++k) {
        if (indsToSearch[k] == indToFind) {
          return k;
        }
      }
    }
    else { // use binary search
      OffsetType start = 0;
      OffsetType end = numEnt;
      // Compare epetra/src/Epetra_Util.cpp, Epetra_Util_binary_search.
      // Unlike that function, I don't use end = numEnt-1, because I
      // want this code to work also for unsigned OffsetType (signed is
      // preferred, though).  Thus, in my code, end is always "one past
      // the last valid index."
      while (end > start) {
        // Invariants: 0 <= start < end, thus start + end > 0.
        const OffsetType mid = (start + end - 1) / 2;
        // Invariants: 0 <= start <= mid < end.
        if (indsToSearch[mid] < indToFind) {
          // Invariant: start < mid+1 (thus, recursion terminates),
          // and for all k <= mid, indsToSearch[k] < indToFind.
          start = mid + 1; // Invariant: 0 < mid < start <= end.
        }
        else { // indsToSearch[mid] >= indToFind
          // Invariant: mid < end (thus, recursion terminates),
          // and for all k <= mid, indsToSearch[k] >= indToFind.
          end = mid; // Invariant: 0 <= start <= mid <= end.
        }
      }
      // Invariant: 0 <= start == end.

      // Don't check if we've already passed the end.
      if (start < numEnt && indsToSearch[start] == indToFind) {
        return start;
      }
    }

    return numEnt; // "end of sequence"
  }

} // namespace KokkosSparse

#endif // KOKKOS_SPARSE_FINDRELOFFSET_HPP