DelayedCast.hpp

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#ifndef TATAMI_DELAYED_CAST_HPP
#define TATAMI_DELAYED_CAST_HPP
 
#include "../base/Matrix.hpp"
#include "../utils/new_extractor.hpp"
 
#include <memory>
#include <type_traits>
#include <algorithm>
 
namespace tatami {
 
namespace DelayedCast_internal {
 
template<typename IndexIn_, typename IndexOut_>
class CastOracle : public Oracle<IndexIn_> {
public:
    CastOracle(std::shared_ptr<const Oracle<IndexOut_> > oracle) : my_oracle(std::move(oracle)) {}
 
    IndexIn_ get(size_t i) const {
        return my_oracle->get(i);
    }
 
    size_t total() const {
        return my_oracle->total();
    }
 
private:
    std::shared_ptr<const Oracle<IndexOut_> > my_oracle;
};
 
template<bool oracle_, typename IndexIn_, typename IndexOut_>
MaybeOracle<oracle_, IndexIn_> convert(MaybeOracle<oracle_, IndexOut_> oracle) {
    if constexpr(!oracle_) {
        return false;
    } else if constexpr(std::is_same<IndexIn_, IndexOut_>::value) {
        return oracle;
    } else {
        return std::make_shared<CastOracle<IndexIn_, IndexOut_> >(std::move(oracle));
    }
}
 
template<typename IndexIn_, typename IndexOut_>
VectorPtr<IndexIn_> convert(VectorPtr<IndexOut_> indices_ptr) {
    if constexpr(std::is_same<IndexIn_, IndexOut_>::value) {
        return indices_ptr;
    } else {
        return std::make_shared<std::vector<IndexIn_> >(indices_ptr->begin(), indices_ptr->end());
    }
}
 
template<bool oracle_, typename ValueOut_, typename IndexOut_, typename ValueIn_, typename IndexIn_>
class Dense : public DenseExtractor<oracle_, ValueOut_, IndexOut_> {
public:
    Dense(const Matrix<ValueIn_, IndexIn_>* matrix, bool row, MaybeOracle<oracle_, IndexOut_> oracle, const Options& opt) {
        allocate(row ? matrix->ncol() : matrix->nrow());
        my_ext = new_extractor<false, oracle_>(matrix, row, convert<oracle_, IndexIn_, IndexOut_>(std::move(oracle)), opt);
    }
 
    Dense(const Matrix<ValueIn_, IndexIn_>* matrix, bool row, MaybeOracle<oracle_, IndexOut_> oracle, IndexOut_ block_start, IndexOut_ block_length, const Options& opt) {
        allocate(block_length);
        my_ext = new_extractor<false, oracle_>(matrix, row, convert<oracle_, IndexIn_, IndexOut_>(std::move(oracle)), block_start, block_length, opt);
    }
 
    Dense(const Matrix<ValueIn_, IndexIn_>* matrix, bool row, MaybeOracle<oracle_, IndexOut_> oracle, VectorPtr<IndexOut_> indices_ptr, const Options& opt) {
        allocate(indices_ptr->size());
        my_ext = new_extractor<false, oracle_>(matrix, row, convert<oracle_, IndexIn_, IndexOut_>(std::move(oracle)), convert<IndexIn_>(std::move(indices_ptr)), opt);
    }
 
private:
    void allocate(size_t n) {
        if constexpr(!no_op) {
            my_buffer.resize(n);
        }
    }
 
public:
    const ValueOut_* fetch(IndexOut_ i, ValueOut_* buffer) {
        if constexpr(no_op) {
            return my_ext->fetch(i, buffer);
        } else {
            auto ptr = my_ext->fetch(i, my_buffer.data());
            std::copy_n(ptr, my_buffer.size(), buffer);
            return buffer;
        }
    }
 
private:
    std::unique_ptr<DenseExtractor<oracle_, ValueIn_, IndexIn_> > my_ext;
    static constexpr bool no_op = std::is_same<ValueOut_, ValueIn_>::value;
    typename std::conditional<no_op, bool, std::vector<ValueIn_> >::type my_buffer;
};
 
template<bool oracle_, typename ValueOut_, typename IndexOut_, typename ValueIn_, typename IndexIn_>
class Sparse : public SparseExtractor<oracle_, ValueOut_, IndexOut_> {
public:
    Sparse(const Matrix<ValueIn_, IndexIn_>* matrix, bool row, MaybeOracle<oracle_, IndexOut_> oracle, const Options& opt) {
        allocate(row ? matrix->ncol() : matrix->nrow(), opt);
        my_ext = new_extractor<true, oracle_>(matrix, row, convert<oracle_, IndexIn_, IndexOut_>(std::move(oracle)), opt);
    }
 
    Sparse(const Matrix<ValueIn_, IndexIn_>* matrix, bool row, MaybeOracle<oracle_, IndexOut_> oracle, IndexOut_ block_start, IndexOut_ block_length, const Options& opt) {
        allocate(block_length, opt);
        my_ext = new_extractor<true, oracle_>(matrix, row, convert<oracle_, IndexIn_, IndexOut_>(std::move(oracle)), block_start, block_length, opt);
    }
 
    Sparse(const Matrix<ValueIn_, IndexIn_>* matrix, bool row, MaybeOracle<oracle_, IndexOut_> oracle, VectorPtr<IndexOut_> indices_ptr, const Options& opt) {
        allocate(indices_ptr->size(), opt);
        my_ext = new_extractor<true, oracle_>(matrix, row, convert<oracle_, IndexIn_, IndexOut_>(std::move(oracle)), convert<IndexIn_>(std::move(indices_ptr)), opt);
    }
 
private:
    void allocate(size_t n, const Options& opt) {
        if constexpr(!no_op_value) {
            if (opt.sparse_extract_value) {
                my_vbuffer.resize(n);
            }
        }
        if constexpr(!no_op_index) {
            if (opt.sparse_extract_index) {
                my_ibuffer.resize(n);
            }
        }
    }
 
public:
    SparseRange<ValueOut_, IndexOut_> fetch(IndexOut_ i, ValueOut_* value_buffer, IndexOut_* index_buffer) {
        IndexIn_* iptr = [&]() {
            if constexpr(no_op_index) {
                return index_buffer;
            } else {
                return my_ibuffer.data();
            }
        }();
 
        ValueIn_* vptr = [&]() {
            if constexpr(no_op_value) {
                return value_buffer;
            } else {
                return my_vbuffer.data();
            }
        }();
 
        auto range = my_ext->fetch(i, vptr, iptr);
        SparseRange<ValueOut_, IndexOut_> output(range.number);
 
        if constexpr(no_op_index) {
            output.index = range.index;
        } else if (range.index != NULL) {
            std::copy_n(range.index, range.number, index_buffer);
            output.index = index_buffer;
        }
 
        if constexpr(no_op_value) {
            output.value = range.value;
        } else if (range.value != NULL) {
            std::copy_n(range.value, range.number, value_buffer);
            output.value = value_buffer;
        }
 
        return output;
    }
 
private:
    std::unique_ptr<SparseExtractor<oracle_, ValueIn_, IndexIn_> > my_ext;
    static constexpr bool no_op_value = std::is_same<ValueOut_, ValueIn_>::value;
    typename std::conditional<no_op_value, bool, std::vector<ValueIn_> >::type my_vbuffer;
    static constexpr bool no_op_index = std::is_same<IndexOut_, IndexIn_>::value;
    typename std::conditional<no_op_index, bool, std::vector<IndexIn_> >::type my_ibuffer;
};
 
}
template<typename ValueOut_, typename IndexOut_, typename ValueIn_, typename IndexIn_>
class DelayedCast : public Matrix<ValueOut_, IndexOut_> {
public:
    DelayedCast(std::shared_ptr<const Matrix<ValueIn_, IndexIn_> > matrix) : my_matrix(std::move(matrix)) {}
 
public:
    IndexOut_ nrow() const {
        return my_matrix->nrow();
    }
 
    IndexOut_ ncol() const {
        return my_matrix->ncol();
    }
 
    bool is_sparse() const {
        return my_matrix->is_sparse();
    }
 
    double is_sparse_proportion() const {
        return my_matrix->is_sparse_proportion();
    }
 
    bool prefer_rows() const { 
        return my_matrix->prefer_rows();
    }
 
    double prefer_rows_proportion() const {
        return my_matrix->prefer_rows_proportion();
    }
 
    bool uses_oracle(bool row) const {
        return my_matrix->uses_oracle(row);
    }
 
private:
    std::shared_ptr<const Matrix<ValueIn_, IndexIn_> > my_matrix;
 
    /********************
     *** Myopic dense ***
     ********************/
public:
    std::unique_ptr<MyopicDenseExtractor<ValueOut_, IndexOut_> > dense(bool row, const Options& opt) const {
        return std::make_unique<DelayedCast_internal::Dense<false, ValueOut_, IndexOut_, ValueIn_, IndexIn_> >(my_matrix.get(), row, false, opt);
    }
 
    std::unique_ptr<MyopicDenseExtractor<ValueOut_, IndexOut_> > dense(bool row, IndexOut_ block_start, IndexOut_ block_length, const Options& opt) const {
        return std::make_unique<DelayedCast_internal::Dense<false, ValueOut_, IndexOut_, ValueIn_, IndexIn_> >(my_matrix.get(), row, false, block_start, block_length, opt);
    }
 
    std::unique_ptr<MyopicDenseExtractor<ValueOut_, IndexOut_> > dense(bool row, VectorPtr<IndexOut_> indices_my_matrix, const Options& opt) const {
        return std::make_unique<DelayedCast_internal::Dense<false, ValueOut_, IndexOut_, ValueIn_, IndexIn_> >(my_matrix.get(), row, false, std::move(indices_my_matrix), opt);
    }
 
    /*********************
     *** Myopic sparse ***
     *********************/
public:
    std::unique_ptr<MyopicSparseExtractor<ValueOut_, IndexOut_> > sparse(bool row, const Options& opt) const {
        return std::make_unique<DelayedCast_internal::Sparse<false, ValueOut_, IndexOut_, ValueIn_, IndexIn_> >(my_matrix.get(), row, false, opt);
    }
 
    std::unique_ptr<MyopicSparseExtractor<ValueOut_, IndexOut_> > sparse(bool row, IndexOut_ block_start, IndexOut_ block_length, const Options& opt) const {
        return std::make_unique<DelayedCast_internal::Sparse<false, ValueOut_, IndexOut_, ValueIn_, IndexIn_> >(my_matrix.get(), row, false, block_start, block_length, opt);
    }
 
    std::unique_ptr<MyopicSparseExtractor<ValueOut_, IndexOut_> > sparse(bool row, VectorPtr<IndexOut_> indices_my_matrix, const Options& opt) const {
        return std::make_unique<DelayedCast_internal::Sparse<false, ValueOut_, IndexOut_, ValueIn_, IndexIn_> >(my_matrix.get(), row, false, std::move(indices_my_matrix), opt);
    }
 
    /**********************
     *** Oracular dense ***
     **********************/
public:
    std::unique_ptr<OracularDenseExtractor<ValueOut_, IndexOut_> > dense(bool row, std::shared_ptr<const Oracle<IndexOut_> > oracle, const Options& opt) const {
        return std::make_unique<DelayedCast_internal::Dense<true, ValueOut_, IndexOut_, ValueIn_, IndexIn_> >(my_matrix.get(), row, std::move(oracle), opt);
    }
 
    std::unique_ptr<OracularDenseExtractor<ValueOut_, IndexOut_> > dense(bool row, std::shared_ptr<const Oracle<IndexOut_> > oracle, IndexOut_ block_start, IndexOut_ block_length, const Options& opt) const {
        return std::make_unique<DelayedCast_internal::Dense<true, ValueOut_, IndexOut_, ValueIn_, IndexIn_> >(my_matrix.get(), row, std::move(oracle), block_start, block_length, opt);
    }
 
    std::unique_ptr<OracularDenseExtractor<ValueOut_, IndexOut_> > dense(bool row, std::shared_ptr<const Oracle<IndexOut_> > oracle, VectorPtr<IndexOut_> indices_my_matrix, const Options& opt) const {
        return std::make_unique<DelayedCast_internal::Dense<true, ValueOut_, IndexOut_, ValueIn_, IndexIn_> >(my_matrix.get(), row, std::move(oracle), std::move(indices_my_matrix), opt);
    }
 
    /***********************
     *** Oracular sparse ***
     ***********************/
public:
    std::unique_ptr<OracularSparseExtractor<ValueOut_, IndexOut_> > sparse(bool row, std::shared_ptr<const Oracle<IndexOut_> > oracle, const Options& opt) const {
        return std::make_unique<DelayedCast_internal::Sparse<true, ValueOut_, IndexOut_, ValueIn_, IndexIn_> >(my_matrix.get(), row, std::move(oracle), opt);
    }
 
    std::unique_ptr<OracularSparseExtractor<ValueOut_, IndexOut_> > sparse(bool row, std::shared_ptr<const Oracle<IndexOut_> > oracle, IndexOut_ block_start, IndexOut_ block_length, const Options& opt) const {
        return std::make_unique<DelayedCast_internal::Sparse<true, ValueOut_, IndexOut_, ValueIn_, IndexIn_> >(my_matrix.get(), row, std::move(oracle), block_start, block_length, opt);
    }
 
    std::unique_ptr<OracularSparseExtractor<ValueOut_, IndexOut_> > sparse(bool row, std::shared_ptr<const Oracle<IndexOut_> > oracle, VectorPtr<IndexOut_> indices_my_matrix, const Options& opt) const {
        return std::make_unique<DelayedCast_internal::Sparse<true, ValueOut_, IndexOut_, ValueIn_, IndexIn_> >(my_matrix.get(), row, std::move(oracle), std::move(indices_my_matrix), opt);
    }
};
 
template<typename ValueOut_, typename IndexOut_, typename ValueIn_, typename IndexIn_>
std::shared_ptr<Matrix<ValueOut_, IndexOut_> > make_DelayedCast(std::shared_ptr<const Matrix<ValueIn_, IndexIn_> > p) {
    return std::shared_ptr<Matrix<ValueOut_, IndexOut_> >(new DelayedCast<ValueOut_, IndexOut_, ValueIn_, IndexIn_>(std::move(p)));
}
 
template<typename ValueOut_, typename IndexOut_, typename ValueIn_, typename IndexIn_>
std::shared_ptr<Matrix<ValueOut_, IndexOut_> > make_DelayedCast(std::shared_ptr<Matrix<ValueIn_, IndexIn_> > p) {
    return std::shared_ptr<Matrix<ValueOut_, IndexOut_> >(new DelayedCast<ValueOut_, IndexOut_, ValueIn_, IndexIn_>(std::move(p)));
}
}
 
#endif