Fix formating
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				@ -63,12 +63,14 @@ template <typename AlgorithmT> class Engine final : public EngineInterface
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    {
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        if (config.use_shared_memory)
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        {
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            util::Log(logDEBUG) << "Using shared memory with algorithm " << algorithm::name<AlgorithmT>();
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            util::Log(logDEBUG) << "Using shared memory with algorithm "
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                                << algorithm::name<AlgorithmT>();
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            facade_provider = std::make_unique<WatchingProvider<AlgorithmT>>();
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        }
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        else
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        {
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            util::Log(logDEBUG) << "Using internal memory with algorithm " << algorithm::name<AlgorithmT>();
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            util::Log(logDEBUG) << "Using internal memory with algorithm "
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                                << algorithm::name<AlgorithmT>();
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            facade_provider =
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                std::make_unique<ImmutableProvider<AlgorithmT>>(config.storage_config);
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        }
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@ -157,7 +159,8 @@ template <> bool Engine<algorithm::CH>::CheckCompability(const EngineConfig &con
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    else
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    {
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        std::ifstream in(config.storage_config.hsgr_data_path.string().c_str());
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        if (!in) return false;
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        if (!in)
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            return false;
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        in.seekg(0, std::ios::end);
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        auto size = in.tellg();
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@ -185,7 +188,8 @@ template <> bool Engine<algorithm::CoreCH>::CheckCompability(const EngineConfig
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    else
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    {
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        std::ifstream in(config.storage_config.core_data_path.string().c_str());
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        if (!in) return false;
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        if (!in)
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            return false;
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        in.seekg(0, std::ios::end);
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        std::size_t size = in.tellg();
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@ -57,7 +57,8 @@ namespace engine
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 *
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 * You can chose between three algorithms:
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 *  - Algorithm::CH
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 *    Contraction Hierarchies, extremely fast queries but slow pre-processing. The default right now.
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 *    Contraction Hierarchies, extremely fast queries but slow pre-processing. The default right
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 * now.
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 *  - Algorithm::CoreCH
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 *    Contractoin Hierachies with partial contraction for faster pre-processing but slower queries.
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 *
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@ -15,7 +15,6 @@ namespace engine
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namespace routing_algorithms
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{
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using CandidateList = std::vector<PhantomNodeWithDistance>;
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using CandidateLists = std::vector<CandidateList>;
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using SubMatchingList = std::vector<map_matching::SubMatching>;
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@ -259,7 +259,8 @@ std::vector<std::size_t> getEdgeIndex(const std::vector<RTreeLeaf> &edges)
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    // GetEdgesInBox is marked `const`, so we can't sort the array itself,
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    // instead we create an array of indexes and sort that instead.
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    std::vector<std::size_t> sorted_edge_indexes(edges.size(), 0);
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    std::iota(sorted_edge_indexes.begin(), sorted_edge_indexes.end(), 0); // fill with 0,1,2,3,...N-1
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    std::iota(
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        sorted_edge_indexes.begin(), sorted_edge_indexes.end(), 0); // fill with 0,1,2,3,...N-1
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    // Now, sort that array based on the edges list, using the u/v node IDs
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    // as the sort condition
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@ -653,15 +654,17 @@ void encodeVectorTile(const datafacade::ContiguousInternalMemoryDataFacadeBase &
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        {
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            // we need to pre-encode all values here because we need the full offsets later
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            // for encoding the actual features.
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            std::vector<std::tuple<util::Coordinate, unsigned, unsigned, unsigned>> encoded_turn_data(all_turn_data.size());
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            std::transform(all_turn_data.begin(),
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            std::vector<std::tuple<util::Coordinate, unsigned, unsigned, unsigned>>
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                encoded_turn_data(all_turn_data.size());
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            std::transform(
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                all_turn_data.begin(),
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                all_turn_data.end(),
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                encoded_turn_data.begin(),
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                [&](const routing_algorithms::TurnData &t) {
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                    auto angle_idx = use_point_int_value(t.in_angle);
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                    auto turn_idx = use_point_int_value(t.turn_angle);
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                               auto weight_idx = use_point_float_value(t.weight /
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                                                     10.0); // Note conversion to float here
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                    auto weight_idx =
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                        use_point_float_value(t.weight / 10.0); // Note conversion to float here
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                    return std::make_tuple(t.coordinate, angle_idx, turn_idx, weight_idx);
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                });
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@ -680,8 +683,7 @@ void encodeVectorTile(const datafacade::ContiguousInternalMemoryDataFacadeBase &
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                int id = 1;
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                // Helper function to encode a new point feature on a vector tile.
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                const auto encode_tile_point = [&](
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                    const FixedPoint &tile_point,
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                const auto encode_tile_point = [&](const FixedPoint &tile_point,
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                                                   const auto &point_turn_data) {
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                    protozero::pbf_writer feature_writer(point_layer_writer,
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                                                         util::vector_tile::FEATURE_TAG);
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@ -714,7 +716,8 @@ void encodeVectorTile(const datafacade::ContiguousInternalMemoryDataFacadeBase &
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                // Loop over all the turns we found and add them as features to the layer
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                for (const auto &turndata : encoded_turn_data)
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                {
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                    const auto tile_point = coordinatesToTilePoint(std::get<0>(turndata), tile_bbox);
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                    const auto tile_point =
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                        coordinatesToTilePoint(std::get<0>(turndata), tile_bbox);
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                    if (!boost::geometry::within(point_t(tile_point.x, tile_point.y), clip_box))
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                    {
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                        continue;
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@ -21,7 +21,8 @@ OSRM::OSRM(engine::EngineConfig &config)
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    if (config.algorithm == EngineConfig::Algorithm::CoreCH ||
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        config.algorithm == EngineConfig::Algorithm::CH)
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    {
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        bool corech_compatible = engine::Engine<engine::algorithm::CoreCH>::CheckCompability(config);
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        bool corech_compatible =
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            engine::Engine<engine::algorithm::CoreCH>::CheckCompability(config);
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        // Activate CoreCH if we can because it is faster
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        if (config.algorithm == EngineConfig::Algorithm::CH && corech_compatible)
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@ -1,6 +1,6 @@
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#include "server/server.hpp"
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#include "util/log.hpp"
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#include "util/exception.hpp"
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#include "util/log.hpp"
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#include "util/version.hpp"
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#include "osrm/engine_config.hpp"
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