/* Copyright(c) 2002-2017 Anatoliy Kuznetsov(anatoliy_kuznetsov at yahoo.com) Licensed under the Apache License, Version 2.0 (the "License"); you may not use this file except in compliance with the License. You may obtain a copy of the License at http://www.apache.org/licenses/LICENSE-2.0 Unless required by applicable law or agreed to in writing, software distributed under the License is distributed on an "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the License for the specific language governing permissions and limitations under the License. For more information please visit: http://bitmagic.io */ /** \example rscsample01.cpp Example of how to use bm::rsc_sparse_vector<> template class \sa bm::sparse_vector \sa bm::rsc_sparse_vector \sa bm::sparse_vector::push_back \sa bm::sparse_vector_serialize \sa bm::sparse_vector_deserialize */ /*! \file rscsample01.cpp \brief Example: rsc_sparse_vector<> usage rsc_sparse_vector<> is a sparse vector which uses bit-transposition and rank-select succinct method of compression of NULL (unassigned) values. Unassigned values are dropped (as transposed columns) from the bit-matrix. rsc_sparse_vector<> is basically a read-only structure, which can be used for compact data storage and search. Random access to elements is possible with a penalty of bit-vector Rank or Select operations. */ #include #include #include "bm.h" #include "bmsparsevec.h" #include "bmsparsevec_compr.h" #include "bmsparsevec_serial.h" #include "bmundef.h" /* clear the pre-proc defines from BM */ using namespace std; typedef bm::sparse_vector > sparse_vector_u32; typedef bm::rsc_sparse_vector rsc_sparse_vector_u32; template void print_svector(const SV& sv, bool show_nulls = false) { std::cout << sv.size() << ": "; for (unsigned i = 0; i < sv.size(); ++i) { if (show_nulls) { if (sv.is_null(i)) std::cout << "NULL, "; else { typename SV::value_type v = sv.get(i); std::cout << v << ", "; } } else { typename SV::value_type v = sv.get(i); std::cout << v << ", "; } } std::cout << std::endl; } int main(void) { // temp buffer to avoid unnecessary re-allocations BM_DECLARE_TEMP_BLOCK(tb) try { sparse_vector_u32 sv1(bm::use_null); // use null is needed to build rsc vector rsc_sparse_vector_u32 csv2; // fill in sparse vector leaving some unassigned gaps for (unsigned i = 0; i < 15; i+=3) { sv1[i] = i; } print_svector(sv1); // print sparse vector disregard NULL values (printed as 0) print_svector(sv1, true); // print sparse vector show NULLs (unassigned) csv2.load_from(sv1); // load rank-select-compacted (rsc) sparse vector // print results - it should look the same print_svector(csv2); print_svector(csv2, true); // serialize rsc vector // optimize memory allocation of sparse vector csv2.optimize(tb); bm::sparse_vector_serial_layout sv_lay; bm::sparse_vector_serialize(csv2, sv_lay, tb); // memory copy just simulates network or DB transaction const unsigned char* buf = sv_lay.buf(); size_t buf_size = sv_lay.size(); vector tmp_buf(buf_size); ::memcpy(&tmp_buf[0], buf, buf_size); rsc_sparse_vector_u32 csv3; // target vector int res = bm::sparse_vector_deserialize(csv3, &tmp_buf[0], tb); if (res != 0) { std::cerr << "De-Serialization error!" << std::endl; return 1; } if (!csv3.equal(csv2) ) { cerr << "Error! Please report a bug to BitMagic project support." << endl; return 1; } // unload rsc to sv, this makes a round-trip to an editable form sparse_vector_u32 sv3(bm::use_null); csv3.load_to(sv3); if (!sv3.equal(sv1) ) { std::cerr << "Error! Please report a bug to BitMagic project support." << std::endl; return 1; } print_svector(sv1, true); // print sparse vector again } catch(std::exception& ex) { std::cerr << ex.what() << std::endl; return 1; } return 0; }