boolean_helpers.hpp

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#ifndef TATAMI_ISOMETRIC_BINARY_BOOLEAN_HELPERS_H
#define TATAMI_ISOMETRIC_BINARY_BOOLEAN_HELPERS_H
 
#include "../boolean_utils.hpp"
#include "utils.hpp"
#include "helper_interface.hpp"
 
namespace tatami {
 
template<BooleanOperation op_, typename OutputValue_, typename InputValue_, typename Index_>
struct DelayedBinaryIsometricBooleanHelper final : public DelayedBinaryIsometricOperationHelper<OutputValue_, InputValue_, Index_> {
public:
    bool zero_depends_on_row() const { return false; }
    bool zero_depends_on_column() const { return false; }
    bool non_zero_depends_on_row() const { return false; }
    bool non_zero_depends_on_column() const { return false; }
 
public:
    void dense(bool, Index_, Index_, Index_ length, const InputValue_* left_buffer, const InputValue_* right_buffer, OutputValue_* output_buffer) const {
        for (Index_ i = 0; i < length; ++i) {
            if constexpr(std::is_same<InputValue_, OutputValue_>::value) {
                auto& val = output_buffer[i];
                val = delayed_boolean<op_>(val, right_buffer[i]);
            } else {
                output_buffer[i] = delayed_boolean<op_>(left_buffer[i], right_buffer[i]);
            }
        }
    }
 
    void dense(bool, Index_, const std::vector<Index_>& indices, const InputValue_* left_buffer, const InputValue_* right_buffer, OutputValue_* output_buffer) const {
        Index_ length = indices.size();
        for (Index_ i = 0; i < length; ++i) {
            if constexpr(std::is_same<InputValue_, OutputValue_>::value) {
                auto& val = output_buffer[i];
                val = delayed_boolean<op_>(val, right_buffer[i]);
            } else {
                output_buffer[i] = delayed_boolean<op_>(left_buffer[i], right_buffer[i]);
            }
        }
    }
 
    Index_ sparse(
        bool,
        Index_,
        const SparseRange<InputValue_, Index_>& left,
        const SparseRange<InputValue_, Index_>& right,
        OutputValue_* value_buffer,
        Index_* index_buffer,
        bool needs_value,
        bool needs_index)
    const {
        // Don't bother storing an explicit zero for AND operations when either
        // entry is zero. This should be NaN-safe as NaNs are truthy, so
        // applying AND on that would just be false anyway.
        constexpr bool must_have_both = (op_ == BooleanOperation::AND);
        return delayed_binary_isometric_sparse_operation<must_have_both>(
            left, 
            right, 
            value_buffer, 
            index_buffer, 
            needs_value,
            needs_index,
            [](InputValue_ l, InputValue_ r) -> auto { 
                return delayed_boolean<op_>(l, r); 
            }
        );
    }
 
public:
    // It's sparse if f(0, 0) == 0.
    static constexpr bool known_sparse = (op_ != BooleanOperation::EQUAL);
    OutputValue_ fill(bool, Index_) const {
        if constexpr(known_sparse) {
            return 0;
        } else {
            return 1;
        }
    }
 
    bool is_sparse() const {
        return known_sparse;
    }
 
public:
    std::optional<Index_> nrow() const {
        return std::nullopt;
    }
 
    std::optional<Index_> ncol() const {
        return std::nullopt;
    }
};
 
template<typename OutputValue_, typename InputValue_, typename Index_>
using DelayedBinaryIsometricBooleanEqualHelper = DelayedBinaryIsometricBooleanHelper<BooleanOperation::EQUAL, OutputValue_, InputValue_, Index_>;
 
template<typename OutputValue_, typename InputValue_, typename Index_>
using DelayedBinaryIsometricBooleanAndHelper = DelayedBinaryIsometricBooleanHelper<BooleanOperation::AND, OutputValue_, InputValue_, Index_>;
 
template<typename OutputValue_, typename InputValue_, typename Index_>
using DelayedBinaryIsometricBooleanOrHelper = DelayedBinaryIsometricBooleanHelper<BooleanOperation::OR, OutputValue_, InputValue_, Index_>;
 
template<typename OutputValue_, typename InputValue_, typename Index_>
using DelayedBinaryIsometricBooleanXorHelper = DelayedBinaryIsometricBooleanHelper<BooleanOperation::XOR, OutputValue_, InputValue_, Index_>;
 
template<typename OutputValue_ = double, typename InputValue_ = double, typename Index_ = int>
std::shared_ptr<DelayedBinaryIsometricOperationHelper<OutputValue_, InputValue_, Index_> > make_DelayedBinaryIsometricBooleanEqual() {
    return std::make_shared<DelayedBinaryIsometricBooleanEqualHelper<OutputValue_, InputValue_, Index_> >();
}
 
template<typename OutputValue_ = double, typename InputValue_ = double, typename Index_ = int>
std::shared_ptr<DelayedBinaryIsometricOperationHelper<OutputValue_, InputValue_, Index_> > make_DelayedBinaryIsometricBooleanAnd() {
    return std::make_shared<DelayedBinaryIsometricBooleanAndHelper<OutputValue_, InputValue_, Index_> >();
}
 
template<typename OutputValue_ = double, typename InputValue_ = double, typename Index_ = int>
std::shared_ptr<DelayedBinaryIsometricOperationHelper<OutputValue_, InputValue_, Index_> > make_DelayedBinaryIsometricBooleanOr() {
    return std::make_shared<DelayedBinaryIsometricBooleanOrHelper<OutputValue_, InputValue_, Index_> >();
}
 
template<typename OutputValue_ = double, typename InputValue_ = double, typename Index_ = int>
std::shared_ptr<DelayedBinaryIsometricOperationHelper<OutputValue_, InputValue_, Index_> > make_DelayedBinaryIsometricBooleanXor() {
    return std::make_shared<DelayedBinaryIsometricBooleanXorHelper<OutputValue_, InputValue_, Index_> >();
}
}
 
#endif