RHistEngine.hxx

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/// \file
/// \warning This is part of the %ROOT 7 prototype! It will change without notice. It might trigger earthquakes.
/// Feedback is welcome!
 
#ifndef ROOT_RHistEngine
#define ROOT_RHistEngine
 
#include "RAxes.hxx"
#include "RBinIndex.hxx"
#include "RHistUtils.hxx"
#include "RLinearizedIndex.hxx"
#include "RRegularAxis.hxx"
#include "RWeight.hxx"
 
#include <array>
#include <cassert>
#include <cstddef>
#include <cstdint>
#include <stdexcept>
#include <tuple>
#include <type_traits>
#include <utility>
#include <vector>
 
class TBuffer;
 
namespace ROOT {
namespace Experimental {
 
// forward declarations for friend declaration
template <typename BinContentType>
class RHistEngine;
namespace Internal {
template <typename T, std::size_t N>
static void SetBinContent(RHistEngine<T> &hist, const std::array<RBinIndex, N> &indices, const T &value);
} // namespace Internal
 
/**
A histogram data structure to bin data along multiple dimensions.
 
Every call to \ref Fill(const A &... args) "Fill" bins the data according to the axis configuration and increments the
bin content:
\code
ROOT::Experimental::RHistEngine<int> hist(10, {5, 15});
hist.Fill(8.5);
// hist.GetBinContent(ROOT::Experimental::RBinIndex(3)) will return 1
\endcode
 
The class is templated on the bin content type. For counting, as in the example above, it may be an integral type such
as `int` or `long`. Narrower types such as `unsigned char` or `short` are supported, but may overflow due to their
limited range and must be used with care. For weighted filling, the bin content type must not be an integral type, but
a floating-point type such as `float` or `double`, or the special type RBinWithError. Note that `float` has a limited
significand precision of 24 bits.
 
An object can have arbitrary dimensionality determined at run-time. The axis configuration is passed as a vector of
RAxisVariant:
\code
std::vector<ROOT::Experimental::RAxisVariant> axes;
axes.push_back(ROOT::Experimental::RRegularAxis(10, 5, 15));
axes.push_back(ROOT::Experimental::RVariableBinAxis({1, 10, 100, 1000}));
ROOT::Experimental::RHistEngine<int> hist(axes);
// hist.GetNDimensions() will return 2
\endcode
 
\warning This is part of the %ROOT 7 prototype! It will change without notice. It might trigger earthquakes.
Feedback is welcome!
*/
template <typename BinContentType>
class RHistEngine final {
   template <typename T, std::size_t N>
   friend void Internal::SetBinContent(RHistEngine<T> &, const std::array<RBinIndex, N> &, const T &);
 
   /// The axis configuration for this histogram. Relevant methods are forwarded from the public interface.
   Internal::RAxes fAxes;
   /// The bin contents for this histogram
   std::vector<BinContentType> fBinContents;
 
public:
   /// Construct a histogram engine.
   ///
   /// \param[in] axes the axis objects, must have size > 0
   explicit RHistEngine(std::vector<RAxisVariant> axes) : fAxes(std::move(axes))
   {
      fBinContents.resize(fAxes.ComputeTotalNBins());
   }
 
   /// Construct a histogram engine.
   ///
   /// Note that there is no perfect forwarding of the axis objects. If that is needed, use the
   /// \ref RHistEngine(std::vector<RAxisVariant> axes) "overload accepting a std::vector".
   ///
   /// \param[in] axes the axis objects, must have size > 0
   explicit RHistEngine(std::initializer_list<RAxisVariant> axes) : RHistEngine(std::vector(axes)) {}
 
   /// Construct a histogram engine.
   ///
   /// Note that there is no perfect forwarding of the axis objects. If that is needed, use the
   /// \ref RHistEngine(std::vector<RAxisVariant> axes) "overload accepting a std::vector".
   ///
   /// \param[in] axis1 the first axis object
   /// \param[in] axes the remaining axis objects
   template <typename... Axes>
   explicit RHistEngine(const RAxisVariant &axis1, const Axes &...axes)
      : RHistEngine(std::vector<RAxisVariant>{axis1, axes...})
   {
   }
 
   /// Construct a one-dimensional histogram engine with a regular axis.
   ///
   /// \param[in] nNormalBins the number of normal bins, must be > 0
   /// \param[in] interval the axis interval (lower end inclusive, upper end exclusive)
   /// \par See also
   /// the \ref RRegularAxis::RRegularAxis(std::uint64_t nNormalBins, std::pair<double, double> interval, bool
   /// enableFlowBins) "constructor of RRegularAxis"
   RHistEngine(std::uint64_t nNormalBins, std::pair<double, double> interval)
      : RHistEngine(std::vector<RAxisVariant>{RRegularAxis(nNormalBins, interval)})
   {
   }
 
   /// The copy constructor is deleted.
   ///
   /// Copying all bin contents can be an expensive operation, depending on the number of bins. If required, users can
   /// explicitly call Clone().
   RHistEngine(const RHistEngine &) = delete;
   /// Efficiently move construct a histogram engine.
   ///
   /// After this operation, the moved-from object is invalid.
   RHistEngine(RHistEngine &&) = default;
 
   /// The copy assignment operator is deleted.
   ///
   /// Copying all bin contents can be an expensive operation, depending on the number of bins. If required, users can
   /// explicitly call Clone().
   RHistEngine &operator=(const RHistEngine &) = delete;
   /// Efficiently move a histogram engine.
   ///
   /// After this operation, the moved-from object is invalid.
   RHistEngine &operator=(RHistEngine &&) = default;
 
   ~RHistEngine() = default;
 
   const std::vector<RAxisVariant> &GetAxes() const { return fAxes.Get(); }
   std::size_t GetNDimensions() const { return fAxes.GetNDimensions(); }
   std::uint64_t GetTotalNBins() const { return fBinContents.size(); }
 
   /// Get the content of a single bin.
   ///
   /// \code
   /// ROOT::Experimental::RHistEngine<int> hist({/* two dimensions */});
   /// std::array<ROOT::Experimental::RBinIndex, 2> indices = {3, 5};
   /// int content = hist.GetBinContent(indices);
   /// \endcode
   ///
   /// \note Compared to TH1 conventions, the first normal bin has index 0 and underflow and overflow bins are special
   /// values. See also the class documentation of RBinIndex.
   ///
   /// Throws an exception if the number of indices does not match the axis configuration or the bin is not found.
   ///
   /// \param[in] indices the array of indices for each axis
   /// \return the bin content
   /// \par See also
   /// the \ref GetBinContent(const A &... args) const "variadic function template overload" accepting arguments
   /// directly
   template <std::size_t N>
   const BinContentType &GetBinContent(const std::array<RBinIndex, N> &indices) const
   {
      // We could rely on RAxes::ComputeGlobalIndex to check the number of arguments, but its exception message might
      // be confusing for users.
      if (N != GetNDimensions()) {
         throw std::invalid_argument("invalid number of indices passed to GetBinContent");
      }
      RLinearizedIndex index = fAxes.ComputeGlobalIndex(indices);
      if (!index.fValid) {
         throw std::invalid_argument("bin not found in GetBinContent");
      }
      assert(index.fIndex < fBinContents.size());
      return fBinContents[index.fIndex];
   }
 
   /// Get the content of a single bin.
   ///
   /// \code
   /// ROOT::Experimental::RHistEngine<int> hist({/* two dimensions */});
   /// int content = hist.GetBinContent(ROOT::Experimental::RBinIndex(3), ROOT::Experimental::RBinIndex(5));
   /// // ... or construct the RBinIndex arguments implicitly from integers:
   /// content = hist.GetBinContent(3, 5);
   /// \endcode
   ///
   /// \note Compared to TH1 conventions, the first normal bin has index 0 and underflow and overflow bins are special
   /// values. See also the class documentation of RBinIndex.
   ///
   /// Throws an exception if the number of arguments does not match the axis configuration or the bin is not found.
   ///
   /// \param[in] args the arguments for each axis
   /// \return the bin content
   /// \par See also
   /// the \ref GetBinContent(const std::array<RBinIndex, N> &indices) const "function overload" accepting
   /// `std::array`
   template <typename... A>
   const BinContentType &GetBinContent(const A &...args) const
   {
      std::array<RBinIndex, sizeof...(A)> indices{args...};
      return GetBinContent(indices);
   }
 
   /// Add all bin contents of another histogram.
   ///
   /// Throws an exception if the axes configurations are not identical.
   ///
   /// \param[in] other another histogram
   void Add(const RHistEngine &other)
   {
      if (fAxes != other.fAxes) {
         throw std::invalid_argument("axes configurations not identical in Add");
      }
      for (std::size_t i = 0; i < fBinContents.size(); i++) {
         fBinContents[i] += other.fBinContents[i];
      }
   }
 
   /// Add all bin contents of another histogram using atomic instructions.
   ///
   /// Throws an exception if the axes configurations are not identical.
   ///
   /// \param[in] other another histogram that must not be modified during the operation
   void AddAtomic(const RHistEngine &other)
   {
      if (fAxes != other.fAxes) {
         throw std::invalid_argument("axes configurations not identical in AddAtomic");
      }
      for (std::size_t i = 0; i < fBinContents.size(); i++) {
         Internal::AtomicAdd(&fBinContents[i], other.fBinContents[i]);
      }
   }
 
   /// Clear all bin contents.
   void Clear()
   {
      for (std::size_t i = 0; i < fBinContents.size(); i++) {
         fBinContents[i] = {};
      }
   }
 
   /// Clone this histogram engine.
   ///
   /// Copying all bin contents can be an expensive operation, depending on the number of bins.
   ///
   /// \return the cloned object
   RHistEngine Clone() const
   {
      RHistEngine h(fAxes.Get());
      for (std::size_t i = 0; i < fBinContents.size(); i++) {
         h.fBinContents[i] = fBinContents[i];
      }
      return h;
   }
 
   /// Whether this histogram engine type supports weighted filling.
   static constexpr bool SupportsWeightedFilling = !std::is_integral_v<BinContentType>;
 
   /// Fill an entry into the histogram.
   ///
   /// \code
   /// ROOT::Experimental::RHistEngine<int> hist({/* two dimensions */});
   /// auto args = std::make_tuple(8.5, 10.5);
   /// hist.Fill(args);
   /// \endcode
   ///
   /// If one of the arguments is outside the corresponding axis and flow bins are disabled, the entry will be silently
   /// discarded.
   ///
   /// Throws an exception if the number of arguments does not match the axis configuration, or if an argument cannot be
   /// converted for the axis type at run-time.
   ///
   /// \param[in] args the arguments for each axis
   /// \par See also
   /// the \ref Fill(const A &... args) "variadic function template overload" accepting arguments directly and the
   /// \ref Fill(const std::tuple<A...> &args, RWeight weight) "overload for weighted filling"
   template <typename... A>
   void Fill(const std::tuple<A...> &args)
   {
      // We could rely on RAxes::ComputeGlobalIndex to check the number of arguments, but its exception message might
      // be confusing for users.
      if (sizeof...(A) != GetNDimensions()) {
         throw std::invalid_argument("invalid number of arguments to Fill");
      }
      RLinearizedIndex index = fAxes.ComputeGlobalIndexImpl<sizeof...(A)>(args);
      if (index.fValid) {
         assert(index.fIndex < fBinContents.size());
         fBinContents[index.fIndex]++;
      }
   }
 
   /// Fill an entry into the histogram with a weight.
   ///
   /// This overload is not available for integral bin content types (see \ref SupportsWeightedFilling).
   ///
   /// \code
   /// ROOT::Experimental::RHistEngine<float> hist({/* two dimensions */});
   /// auto args = std::make_tuple(8.5, 10.5);
   /// hist.Fill(args, ROOT::Experimental::RWeight(0.8));
   /// \endcode
   ///
   /// If one of the arguments is outside the corresponding axis and flow bins are disabled, the entry will be silently
   /// discarded.
   ///
   /// Throws an exception if the number of arguments does not match the axis configuration, or if an argument cannot be
   /// converted for the axis type at run-time.
   ///
   /// \param[in] args the arguments for each axis
   /// \param[in] weight the weight for this entry
   /// \par See also
   /// the \ref Fill(const A &... args) "variadic function template overload" accepting arguments directly and the
   /// \ref Fill(const std::tuple<A...> &args) "overload for unweighted filling"
   template <typename... A>
   void Fill(const std::tuple<A...> &args, RWeight weight)
   {
      static_assert(SupportsWeightedFilling, "weighted filling is not supported for integral bin content types");
 
      // We could rely on RAxes::ComputeGlobalIndex to check the number of arguments, but its exception message might
      // be confusing for users.
      if (sizeof...(A) != GetNDimensions()) {
         throw std::invalid_argument("invalid number of arguments to Fill");
      }
      RLinearizedIndex index = fAxes.ComputeGlobalIndexImpl<sizeof...(A)>(args);
      if (index.fValid) {
         assert(index.fIndex < fBinContents.size());
         fBinContents[index.fIndex] += weight.fValue;
      }
   }
 
   /// Fill an entry into the histogram with a user-defined weight.
   ///
   /// This overload is only available for user-defined bin content types.
   ///
   /// If one of the arguments is outside the corresponding axis and flow bins are disabled, the entry will be silently
   /// discarded.
   ///
   /// Throws an exception if the number of arguments does not match the axis configuration, or if an argument cannot be
   /// converted for the axis type at run-time.
   ///
   /// \param[in] args the arguments for each axis
   /// \param[in] weight the weight for this entry
   template <typename... A, typename W>
   void Fill(const std::tuple<A...> &args, const W &weight)
   {
      static_assert(std::is_class_v<BinContentType>,
                    "user-defined weight types are only supported for user-defined bin content types");
 
      // We could rely on RAxes::ComputeGlobalIndex to check the number of arguments, but its exception message might
      // be confusing for users.
      if (sizeof...(A) != GetNDimensions()) {
         throw std::invalid_argument("invalid number of arguments to Fill");
      }
      RLinearizedIndex index = fAxes.ComputeGlobalIndexImpl<sizeof...(A)>(args);
      if (index.fValid) {
         assert(index.fIndex < fBinContents.size());
         fBinContents[index.fIndex] += weight;
      }
   }
 
   /// Fill an entry into the histogram.
   ///
   /// \code
   /// ROOT::Experimental::RHistEngine<int> hist({/* two dimensions */});
   /// hist.Fill(8.5, 10.5);
   /// \endcode
   ///
   /// For weighted filling, pass an RWeight as the last argument:
   /// \code
   /// ROOT::Experimental::RHistEngine<float> hist({/* two dimensions */});
   /// hist.Fill(8.5, 10.5, ROOT::Experimental::RWeight(0.8));
   /// \endcode
   /// This is not available for integral bin content types (see \ref SupportsWeightedFilling).
   ///
   /// If one of the arguments is outside the corresponding axis and flow bins are disabled, the entry will be silently
   /// discarded.
   ///
   /// Throws an exception if the number of arguments does not match the axis configuration, or if an argument cannot be
   /// converted for the axis type at run-time.
   ///
   /// \param[in] args the arguments for each axis
   /// \par See also
   /// the function overloads accepting `std::tuple` \ref Fill(const std::tuple<A...> &args) "for unweighted filling"
   /// and \ref Fill(const std::tuple<A...> &args, RWeight) "for weighted filling"
   template <typename... A>
   void Fill(const A &...args)
   {
      static_assert(sizeof...(A) >= 1, "need at least one argument to Fill");
      if constexpr (sizeof...(A) >= 1) {
         auto t = std::forward_as_tuple(args...);
         if constexpr (std::is_same_v<typename Internal::LastType<A...>::type, RWeight>) {
            static_assert(SupportsWeightedFilling, "weighted filling is not supported for integral bin content types");
            static constexpr std::size_t N = sizeof...(A) - 1;
            if (N != fAxes.GetNDimensions()) {
               throw std::invalid_argument("invalid number of arguments to Fill");
            }
            RWeight weight = std::get<N>(t);
            RLinearizedIndex index = fAxes.ComputeGlobalIndexImpl<N>(t);
            if (index.fValid) {
               assert(index.fIndex < fBinContents.size());
               fBinContents[index.fIndex] += weight.fValue;
            }
         } else {
            Fill(t);
         }
      }
   }
 
   /// Fill an entry into the histogram using atomic instructions.
   ///
   /// \param[in] args the arguments for each axis
   /// \see Fill(const std::tuple<A...> &args)
   template <typename... A>
   void FillAtomic(const std::tuple<A...> &args)
   {
      // We could rely on RAxes::ComputeGlobalIndex to check the number of arguments, but its exception message might
      // be confusing for users.
      if (sizeof...(A) != GetNDimensions()) {
         throw std::invalid_argument("invalid number of arguments to Fill");
      }
      RLinearizedIndex index = fAxes.ComputeGlobalIndexImpl<sizeof...(A)>(args);
      if (index.fValid) {
         assert(index.fIndex < fBinContents.size());
         Internal::AtomicInc(&fBinContents[index.fIndex]);
      }
   }
 
   /// Fill an entry into the histogram with a weight using atomic instructions.
   ///
   /// This overload is not available for integral bin content types (see \ref SupportsWeightedFilling).
   ///
   /// \param[in] args the arguments for each axis
   /// \param[in] weight the weight for this entry
   /// \see Fill(const std::tuple<A...> &args, RWeight weight)
   template <typename... A>
   void FillAtomic(const std::tuple<A...> &args, RWeight weight)
   {
      static_assert(SupportsWeightedFilling, "weighted filling is not supported for integral bin content types");
 
      // We could rely on RAxes::ComputeGlobalIndex to check the number of arguments, but its exception message might
      // be confusing for users.
      if (sizeof...(A) != GetNDimensions()) {
         throw std::invalid_argument("invalid number of arguments to Fill");
      }
      RLinearizedIndex index = fAxes.ComputeGlobalIndexImpl<sizeof...(A)>(args);
      if (index.fValid) {
         assert(index.fIndex < fBinContents.size());
         Internal::AtomicAdd(&fBinContents[index.fIndex], weight.fValue);
      }
   }
 
   /// Fill an entry into the histogram with a user-defined weight using atomic instructions.
   ///
   /// This overload is only available for user-defined bin content types.
   ///
   /// \param[in] args the arguments for each axis
   /// \param[in] weight the weight for this entry
   /// \see Fill(const std::tuple<A...> &args, const W &weight)
   template <typename... A, typename W>
   void FillAtomic(const std::tuple<A...> &args, const W &weight)
   {
      static_assert(std::is_class_v<BinContentType>,
                    "user-defined weight types are only supported for user-defined bin content types");
 
      // We could rely on RAxes::ComputeGlobalIndex to check the number of arguments, but its exception message might
      // be confusing for users.
      if (sizeof...(A) != GetNDimensions()) {
         throw std::invalid_argument("invalid number of arguments to Fill");
      }
      RLinearizedIndex index = fAxes.ComputeGlobalIndexImpl<sizeof...(A)>(args);
      if (index.fValid) {
         assert(index.fIndex < fBinContents.size());
         Internal::AtomicAdd(&fBinContents[index.fIndex], weight);
      }
   }
 
   /// Fill an entry into the histogram using atomic instructions.
   ///
   /// \param[in] args the arguments for each axis
   /// \see Fill(const A &...args)
   template <typename... A>
   void FillAtomic(const A &...args)
   {
      static_assert(sizeof...(A) >= 1, "need at least one argument to Fill");
      if constexpr (sizeof...(A) >= 1) {
         auto t = std::forward_as_tuple(args...);
         if constexpr (std::is_same_v<typename Internal::LastType<A...>::type, RWeight>) {
            static_assert(SupportsWeightedFilling, "weighted filling is not supported for integral bin content types");
            static constexpr std::size_t N = sizeof...(A) - 1;
            if (N != fAxes.GetNDimensions()) {
               throw std::invalid_argument("invalid number of arguments to Fill");
            }
            RWeight weight = std::get<N>(t);
            RLinearizedIndex index = fAxes.ComputeGlobalIndexImpl<N>(t);
            if (index.fValid) {
               assert(index.fIndex < fBinContents.size());
               Internal::AtomicAdd(&fBinContents[index.fIndex], weight.fValue);
            }
         } else {
            FillAtomic(t);
         }
      }
   }
 
   /// Scale all histogram bin contents.
   ///
   /// This method is not available for integral bin content types.
   ///
   /// \param[in] factor the scale factor
   void Scale(double factor)
   {
      static_assert(!std::is_integral_v<BinContentType>, "scaling is not supported for integral bin content types");
      for (std::size_t i = 0; i < fBinContents.size(); i++) {
         fBinContents[i] *= factor;
      }
   }
 
   /// %ROOT Streamer function to throw when trying to store an object of this class.
   void Streamer(TBuffer &) { throw std::runtime_error("unable to store RHistEngine"); }
};
 
namespace Internal {
/// %Internal function to set the content of a single bin.
template <typename T, std::size_t N>
static void SetBinContent(RHistEngine<T> &hist, const std::array<RBinIndex, N> &indices, const T &value)
{
   RLinearizedIndex index = hist.fAxes.ComputeGlobalIndex(indices);
   if (!index.fValid) {
      throw std::invalid_argument("bin not found in SetBinContent");
   }
   assert(index.fIndex < hist.fBinContents.size());
   hist.fBinContents[index.fIndex] = value;
}
} // namespace Internal
 
} // namespace Experimental
} // namespace ROOT
 
#endif