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\n#include \n#include \n#include \n#include \n#include \n\nconstexpr uint64_t pos_from(uint32_t r, uint32_t c)\n{\n return (static_cast(r) << 32) ^ c;\n}\n\nconstexpr uint32_t row_from(uint64_t pos)\n{\n return (pos >> 32) & 0xFFFFFFFF;\n}\n\nconstexpr uint32_t col_from(uint64_t pos)\n{\n return pos & 0xFFFFFFFF;\n}\n\ntemplate \nclass SparseMatrix\n{\n uint32_t rows_{}, cols_{};\n std::vector> nzs_;\npublic:\n SparseMatrix(uint32_t r, uint32_t c, uint32_t nzs = 0)\n : rows_{r}, cols_{c}\n {\n nzs_.reserve(nzs);\n }\n \n std::istream& read_non_zeroes_from(std::istream& is, uint32_t n)\n {\n while(n--)\n {\n uint32_t r, c;\n T value;\n if ( (is >> r >> c >> value) && value) \n nzs_.emplace_back(pos_from(r, c), value);\n }\n return is;\n }\n \n std::ostream& write_non_zeroes_to(std::ostream& os)\n {\n os << nzs_.size() << '\\n';\n for (auto const& i : nzs_)\n os << row_from(i.first) << ' ' << col_from(i.first) << ' ' << i.second << '\\n';\n return os;\n }\n \n friend SparseMatrix operator+ (SparseMatrix const& a, SparseMatrix const& b)\n {\n assert(a.rows_ == b.rows_ && a.cols_ == b.cols_);\n SparseMatrix sum(a.rows_, a.cols_, std::max(a.nzs_.size(), b.nzs_.size()));\n \n auto i = a.nzs_.cbegin();\n auto j = b.nzs_.cbegin();\n auto dest = std::back_inserter(sum.nzs_);\n while ( i != a.nzs_.cend() && j != b.nzs_.cend() )\n {\n if ( i->first < j->first )\n {\n *dest = *i;\n ++i;\n }\n else if ( j->first < i->first )\n {\n *dest = *j;\n ++j;\n }\n else\n {\n auto sum_value = i->second + j->second;\n if (sum_value)\n *dest = {i->first, sum_value};\n ++i;\n ++j; \n }\n }\n std::copy(i, a.nzs_.cend(), dest);\n std::copy(j, b.nzs_.cend(), dest);\n return sum;\n }\n};\n\nint main()\n{\n uint32_t n, m, N1, N2;\n if ( !(std::cin >> n >> m >> N1 >> N2) )\n std::cerr << \"Error: unable to read initial data.\\n\";\n \n SparseMatrix a(n, m, N1);\n if ( !a.read_non_zeroes_from(std::cin, N1) )\n std::cerr << \"Error: unable to read triplets of the first matrix\\n\";\n \n 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