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MzMJLGHMwL$HDŽ$N4LE蝪H(H[]A\A]A^A_I}ϧI\$IBD(HIHHt$H~HL$L1Ix蟪$0t:I>Hth1IH$LHxw `hIHHLH$tI>LB/yH$LH{w cH$LH~w LTn I|$HIL$ 3I|$xYLJn I|$HIM\$ߪL-(n H !n MeIT$L$L-m HAHHDŽ$MeHLeHiHHHLm I|$HIM\$bH m LyIWL$L5zm MWMO@I|$HL$LMIL$ EI|$xk덐Ld$Ll$L%j Lt$L|$IH\$Hl$H8AIɤHj I)IMt1HÐHLLDHI9uH\$Hl$Ld$Ll$ Lt$(L|$0H8ÐUHSHHj Ht1HaHHuH[ÐHHcould not open file exiting, ,# k= ms for creation of rmq_optimal @A`;@0;@<@7@`5@B@p@@p5@A;@;@C@8@P5@P6@PB@6@N4sdsl16rank_support_v10EaAAN4sdsl16rank_support_jmcEaЄAA@a AN4sdsl12rank_supportEA6@6@X*@X*@X*@X*@X*@X*@AXAA AHAZ@@Z@AZ@0Z@H0a8+@)@0a*@H*@aA0aN4sdsl4util10nullstreamE`AB@B@h(@+@x*@X+@x(@)@,@(@)@*@,@@5@aAaN4sdsl4util10nullstream7nullbufE i= >= size of RMQ on E in bytes size of DFUDS in bytes preparing array of size for RMQs...ALERT!!!...done. OUT_OF_RANGE: balanced_parentheses_support_simple::find_opensize of lookup table in bytes size of array storing block minima in bytes size of rank/select/findopen in bytes : block_size should be greater than 2!: recursion in the construction does not terminate! building DFUDS of 2D-Min-Heap... preparing DFUDS for rank/select/findopen... building +-1RMQs on excess sequence...PAP{@@j@pAP@ @w@0x@23RMQ_succinct_engineered@a0A11RMQ_optimal@a`AЊA@@@@P@0@`@@@aA@AN4sdsl17select_support_bsINS_14rank_support_vILh1ELh1EEEEE@aPAN4sdsl14select_supportE@A@p@X*@X*@X*@X*@X*@X*@0A`@@PiA @@M@"A @a`A@AN4sdsl18select_support_mclILh0ELh1EEEA@@@@@@@@a AAN4sdsl14rank_support_vILh1ELh1EEEaA APN4sdsl35balanced_parentheses_support_simpleINS_28nearest_neighbour_dictionaryILh30EEENS_14rank_support_vILh1ELh1EEENS_18select_support_mclILh0ELh1EEEEE@a@AN4sdsl35balanced_parentheses_support_simpleINS_28nearest_neighbour_dictionaryILh30EEENS_14rank_support_vILh1ELh1EEENS_18select_support_mclILh0ELh1EEEEEaAAPN4sdsl35balanced_parentheses_support_simpleINS_28nearest_neighbour_dictionaryILh30EEENS_14rank_support_vILh1ELh1EEENS_17select_support_bsIS4_EEEE@aAN4sdsl35balanced_parentheses_support_simpleINS_28nearest_neighbour_dictionaryILh30EEENS_14rank_support_vILh1ELh1EEENS_17select_support_bsIS4_EEEEaAaSt12out_of_range########%%%%EEEEEEEEEEEEE#E#E#E#''''''''GGGGGGGGGGGGG#G#G#G#ggggggggggggggggggggggggggggg#g#g#g#ggggggggggggg%g%g%g%gEgEgEgEgEgEgEgEgEgEgEgEgE#gE#gE#gE#`A@@(@  "(&.0 #62)9? !'%-/518>  $,47=+3<*;:????????~~~~~~~~}}}}}}}}||||||||{{{{{{{{zzzzzzzzyyyyyyyyxxxxxxxxwwwwwwwwvvvvvvvvuuuuuuuuttttttttssssssssrrrrrrrrqqqqqqqqppppppppoooooooonnnnnnnnmmmmmmmmllllllllkkkkkkkkjjjjjjjjiiiiiiiihhhhhhhhggggggggffffffffeeeeeeeeddddddddccccccccbbbbbbbbaaaaaaaa````````________^^^^^^^^]]]]]]]]\\\\\\\\[[[[[[[[ZZZZZZZZYYYYYYYYXXXXXXXXWWWWWWWWVVVVVVVVUUUUUUUUTTTTTTTTSSSSSSSSRRRRRRRRQQQQQQQQPPPPPPPPOOOOOOOONNNNNNNNMMMMMMMMLLLLLLLLKKKKKKKKJJJJJJJJIIIIIIIIHHHHHHHHGGGGGGGGFFFFFFFFEEEEEEEEDDDDDDDDCCCCCCCCBBBBBBBBAAAAAAAA@@@@@@@@ Q "7Yyb= Um*/Eo %1Bs( ݊=!5W̌yp)pT~m 8 ݥ)?C_sm$@ !/a93hٽ e i H b˕4U|o9lh -Gٻd a z)XDC+(M@$BBk4)Ή).`P^W1nڇ +ܢ{nbS0T?# 6¡hf}؂j3!c1Sb曆GעJB~1i`c4|6:'T )"E5uo BLDwxx 'EW2ϫ@aݣh'"BO  !!!!!!!!""""""""########$$$$$$$$%%%%%%%%&&&&&&&&''''''''(((((((())))))))********++++++++,,,,,,,,--------........////////00000000111111112222222233333333444444445555555566666666777777778888888899999999::::::::;;;;;;;;<<<<<<<<========>>>>>>>>????????@@@@@@@@MbP?%Y-%m-%d-%H%M%S;{aXahaxahh h8hPhhijj(j0kH(l`nnn8ohohr8shtuvv8vv@(xȆ0hPx p   Ȟ x 8x  (   HX8 hP xh h x  ( @ X  @ ( ` 8 x   ( ( @ X ` h  P  (   ( #8#`x$(&X( )P*-x9OXHPxRThUHH^dXoPhȜح(8x 8PHpȯxȰذ((HpzPLRx8,@ $@5@ <P5@ T`5@ lp5@,5@BMH G(C0P6@MEY 6@ 6@-@7D-@ 4.@ L6@d7@|8@jD0;@)A`;@"A;@7A;@0A4<@BBB B(A0D8G@,T?@dBJG A(D@p@@:N ,@@BJG A(D@PB@FN B@ B@A,,B@BME E(D04\C@# BBB B(A0A8G@4M@ABJL H(A0A8Dp$`S@ATT40V@BGE B(E0N8D,@Z@WALZ@OA$l[@DAJ^4P]@+ ABEB B(A0A8G4g@JABBB E(A0A8G4.@%sABMB B(A0A8G<@j@T@ l@ @@@ @0@@@P@ ,`@ Dp@ \@t@ Pj@7Dj@ j@ $j@AAG $`k@AAG 4$l@BEE B(A0A8D\@A|@ 4q@BEE B(A0A8D,@xBEE D(A0$P@AJMQ@$@JL D@\@)A|@"A, @ABED A(D0@JA_@4P@BBB E(A0A8D`$ w@A$D 0x@VQ`,l @4 BBB D(A0 `@\JL , @dBJG A(D@ 0@CJL  @:N $, @J^@$T @ADD $| `@ADD $ @ADD 4 P{@BBE E(A0A8D`4 @-BIB I(E0D8D@,< @BME E(D04l @cBBF E(D0A8Dp$ @EST4 @  ABBE G(A0A8G4 Ag@ABBE B(A0A8D4< P@xABIB B(A0A8Gt ARA4 AHBEB E(A0D8I@ 0AhAJL $ ASABAD $ `@ABAD $< @@ABAD 4d "A9ABBE B(A0A8D4 *A<aABFB B(D0D8Hp$ @~YQ@4 1A ABFB B(F0D8G44;A ABIB B(D0D8K4lLAu BBB E(D0A8D@4VALABBB B(A0A8GPiA4`iA (ABIB B(D0D8K4,@ABGG B(A0H8G4d@oABGG B(A0H8GzPRx  $0=D<X TP zPLRx  $(=D<P TH l@<JO К45 AG =D؛  Л $ț$AD؛A$d؛c\ADG4 O@BBE B(A0A8G@zRx  $4JQQ@&= 8>7 %>11 %);3 k          2)!o0 1( ,,*,,,,}1(\,,,-,--} %   %>%)$D) 5P       @ &= 11 84 Tb    }2 &&& !%&"T+b!! *    !!! 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If the Program specifies a version number of this License which applies to it and "any later version", you have the option of following the terms and conditions either of that version or of any later version published by the Free Software Foundation. If the Program does not specify a version number of this License, you may choose any version ever published by the Free Software Foundation. 10. If you wish to incorporate parts of the Program into other free programs whose distribution conditions are different, write to the author to ask for permission. For software which is copyrighted by the Free Software Foundation, write to the Free Software Foundation; we sometimes make exceptions for this. Our decision will be guided by the two goals of preserving the free status of all derivatives of our free software and of promoting the sharing and reuse of software generally. NO WARRANTY 11. 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It is safest to attach them to the start of each source file to most effectively convey the exclusion of warranty; and each file should have at least the "copyright" line and a pointer to where the full notice is found. Copyright (C) This program is free software; you can redistribute it and/or modify it under the terms of the GNU General Public License as published by the Free Software Foundation; either version 2 of the License, or (at your option) any later version. This program is distributed in the hope that it will be useful, but WITHOUT ANY WARRANTY; without even the implied warranty of MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU General Public License for more details. You should have received a copy of the GNU General Public License along with this program; if not, write to the Free Software Foundation, Inc., 59 Temple Place, Suite 330, Boston, MA 02111-1307 USA Also add information on how to contact you by electronic and paper mail. If the program is interactive, make it output a short notice like this when it starts in an interactive mode: Gnomovision version 69, Copyright (C) year name of author Gnomovision comes with ABSOLUTELY NO WARRANTY; for details type `show w'. This is free software, and you are welcome to redistribute it under certain conditions; type `show c' for details. The hypothetical commands `show w' and `show c' should show the appropriate parts of the General Public License. Of course, the commands you use may be called something other than `show w' and `show c'; they could even be mouse-clicks or menu items--whatever suits your program. You should also get your employer (if you work as a programmer) or your school, if any, to sign a "copyright disclaimer" for the program, if necessary. Here is a sample; alter the names: Yoyodyne, Inc., hereby disclaims all copyright interest in the program `Gnomovision' (which makes passes at compilers) written by James Hacker. , 1 April 1989 Ty Coon, President of Vice This General Public License does not permit incorporating your program into proprietary programs. If your program is a subroutine library, you may consider it more useful to permit linking proprietary applications with the library. If this is what you want to do, use the GNU Library General Public License instead of this License. rmq_experiments/optimalRMQ/makefile0000644000374200006440000000075511274550353016174 0ustar gogtcs#FLAG = -O3 -fomit-frame-pointer -funroll-loops -Wl,-stack_size -Wl,0x1f400000 SDSLDIR=`less ../SDSLDIR` SDSLLIB=$(SDSLDIR)/src/sdsl/.libs/libsdsl.a FLAG = -O3 -fomit-frame-pointer -funroll-loops -DNDEBUG -I$(SDSLDIR)/src/ # -Wl,-stack_size -Wl,0x1f400000 all: testRMQ testRMQ: testRMQ.cpp optimalRMQ.o g++ $(FLAG) testRMQ.cpp -o testRMQ optimalRMQ.o $(SDSLLIB) optimalRMQ.o: optimalRMQ.cpp optimalRMQ.hpp g++ $(FLAG) -c optimalRMQ.cpp .PHNOY: clean clean: rm -f testRMQ optimalRMQ.o rmq_experiments/optimalRMQ/optimalRMQ.cpp0000644000374200006440000003357211274546717017241 0ustar gogtcs#include "optimalRMQ.hpp" DTidx RMQ_optimal::query(DTidx ii, DTidx jj) { if (ii == jj) return ii; // transform indices because we built the 2D-Min-Heap topsy-turvy: DTidx i = n-ii-1; DTidx j = n-jj-1; if (i > j) { DTidx t = i; i=j; j=t; } // swap if necessary DTidx x = bp.select(i+2); // caution: select starts counting at 1 DTidx y = bp.select(j+1); DTidx w = RMQ_excess(x, y); DTidx o = bp.find_open(w); if (o - bp.rank(o) == i) return n-i-1; // re-transform answer return n-(w-bp.rank(w))-1; // re-transform answer } //version with scan // DTidx RMQ_optimal::RMQ_excess(DTidx i, DTidx j) { // DTidx min, min_tmp; // DTidx b_i = i/s; // i's block // DTidx b_j = j/s; // j's block // if (b_i == b_j) { // only one in-block-query => look up in P // min = i; // for (DTidx x = i+1; x <= j; x++) // if (bp.excess(x) < bp.excess(min)) min = x; // } // else { // // look up minimum in i's block: // min = i; // for (DTidx x = i+1; x < ((b_i+1)*s); x++) // if (bp.excess(x) < bp.excess(min)) min = x; // // out-of-block query: // if (b_j > b_i + 1) { // DTidx bm = R->query(b_i+1, b_j-1); // block where out-of-block-min occurs // min_tmp = E[bm] + (bm*s); // true position of out-of-block-min // if (bp.excess(min_tmp) < bp.excess(min)) min = min_tmp; // } // // look up minimum in j's block: // for (DTidx x = b_j*s; x <= j; x++) // if (bp.excess(x) < bp.excess(min)) min = x; // } // return min; // } // version with lookup: DTidx RMQ_optimal::RMQ_excess(DTidx i, DTidx j) { DTidx min, min_tmp; DTidx b_i = i/s; // i's block DTidx b_j = j/s; // j's block DTidx i_pos = i - (b_i*s); // position of i in its block DTidx j_pos = j - (b_j*s); // pos. of j in its block uint64_t t_i = (U.data())[b_i*s/64]; // type of i's block DTidx shift = (b_i % (64/s)) * s; // offset to start of block in word t_i &= (mask << shift); // mask bits in block t_i >>= shift; // shift block to lower s bits if (b_i == b_j) // only one in-block-query => look up in P min = (b_i*s) + P[t_i][i_pos*(s-1)+j_pos-((i_pos-1)*i_pos/2)]; else { // look up minimum in i's block: min = (b_i*s) + P[t_i][(i_pos+1)*(s-1)-((i_pos-1)*i_pos/2)]; // out-of-block query: if (b_j > b_i + 1) { DTidx bm = R->query(b_i+1, b_j-1); // block where out-of-block-min occurs min_tmp = E[bm] + (bm*s); // true position of out-of-block-min if (bp.excess(min_tmp) < bp.excess(min)) min = min_tmp; } // look up minimum in j's block: uint64_t t_j = (U.data())[b_j*s/64]; // type of i's block shift = (b_j % (64/s)) * s; // offset to start of block in word t_j &= (mask << shift); // mask bits in block t_j >>= shift; // shift block to lower s bits min_tmp = (b_j*s) + P[t_j][j_pos]; if (bp.excess(min_tmp) < bp.excess(min)) min = min_tmp; } return min; } unsigned long RMQ_optimal::getSize() { // ofstream devnull("/dev/null", ios_base::out); // works only with Unix systems cerr<<"size of lookup table in bytes "<getSize()<getSize() + util::get_size_in_bytes(E) + util::get_size_in_bytes(U) + util::get_size_in_bytes(bp); } //RMQ_optimal::RMQ_optimal(DT* A, DTidx n) { RMQ_optimal::RMQ_optimal(const int_vector<> &A, DTidx n) { cerr << "preparing array of size " << n << " for RMQs..." << endl; this->n = n; mem = 0; // counts allocated memory U = bit_vector(2*n+2, 0); // DFUDS of the 2d-Min-Heap s = sizeof(DTidx) * 8; // block size for construction (full word width!) nb = (n-1)/s + 1; // number of blocks in S DTidx* S = new DTidx[nb]; // stack for (int i=0; i M(nb, 0, bit_magic::l1BP(nb)+1); // nearest block containing a 1 M[nb-1] = nb; // stopper // scan input array a from left to right (in order to return leftmost min.) // and build DFUDS U: cerr << " building DFUDS of 2D-Min-Heap..." << endl; DTidx U_end = 2*n+1; // current end in U for (DT i = n-1; i >= 0; i--) { U_end--; // write implicit ')'='0' at U's current end DTidx j = i+1; // top of stack S DTidx bj = (j==n) ? nb : j/s; // j's block number while (bj < nb && A[n-j-1] > A[n-i-1]) { U[U_end] = 1; U_end--; // write '('='1' at U's current end S[bj] &= ~(((DTidx)1)<<(((bj+1)*s)-j-1)); // delete bit // find new top of stack S: if (S[bj] == 0) bj = M[bj]; // jump to next block containing a '1' if (bj < nb) { // update j & bj j = ((bj+1)*s) - bit_magic::l1BP((uint64_t)S[bj]) - 1; bj = j/s; } } // push index i on S: DTidx bi = i/s; // i's block if (S[bi] == 0) M[bi] = bj; // update M S[bi] |= (((DTidx)1)<<(((bi+1)*s)-i-1)); // set bit } for (DTidx i = 0; i < U_end; i++) U[i] = 1; // prepend '('s delete[] S; // free memory // delete[] M; // ---- " ---- M.resize(0); // prepare U for rank_1/select0/findopen: cerr << " preparing DFUDS for rank/select/findopen..." << endl; bp = balanced_parentheses_support_simple, rank_support_v<>, select_support_mcl<0> >(&U); // calc. block minima of U's excess sequence & precompute in-block queries: cerr << " building +-1RMQs on excess sequence..." << endl; s =8; // block size = 8 always best!!! nb = (2*n+1)/s + 1; // number of blocks in U mask = (1 << s) - 1; // set lower s bits DTidx nr_types = 1 << s; // # different block types DTidx nr_queries = s*(s+1)/2; // # queries per block P = new uchar*[nr_types]; // P: precomputed in-block queries for (DTidx i = 0; i < nr_types; i++) { P[i] = new uchar[nr_queries]; // allocate space mem += sizeof(uchar) * nr_queries; P[i][0] = s; // init with impossible value } E = int_vector<>(nb, 0, 3); // 3 = log2(s) DTidx bi = 0; // i's block DTidx min = 0; // pos. of minimum in bi for (DTidx i = 1; i < 2*n+3; i++) { // step through DFUDS U if ((i%s==0) || (i==2*n+2)) { // reached new block E[bi] = min - (bi*s); // store position of block minimum // precompute in-block-queries for scanned block (if necessary): uint64_t type = (U.data())[bi*s/64]; // type of block DTidx shift = (bi % (64/s)) * s; // offset to start of block in word type &= (mask << shift); // mask bits in block type >>= shift; // shift block to lower s bits if (type >= nr_types) { cerr << "ALERT!!!" << endl; exit(-1); } //DEBUG if (P[type][0] == s) { DTidx p = 0; for (DTidx j = bi*s; j < (bi+1)*s; j++) { DTidx min2 = j; for (DTidx k = j; k < (bi+1)*s; k++) { long em = (min2 < 2*n+2) ? bp.excess(min2) : LONG_MAX; long ek = (k < 2*n+2) ? bp.excess(k) : LONG_MAX; if (ek < em) min2 = k; P[type][p++] = (uchar) min2-(bi*s); } } } bi++; min = i; // increase block number & init minimum } else if (bp.excess(i) < bp.excess(min)) min = i; // found new minimum } E[nb-1] = min - (bi*s); // store min of last block // prepare bp.excess(E[i]+(i*s)) for (normal) RMQs: R = new RMQ_succinct_engineered(this, nb); cerr << "...done.\n"; } unsigned long RMQ_optimal::A(DTidx i) { return bp.excess(E[i]+(i*s)); } RMQ_optimal::~RMQ_optimal() { delete R; for (DTidx i = 0; i < (1< scan naively for (x = i+1; x <= j; x++) if (R->A(x) < R->A(min)) min = x; } else { DTidx s_bi = b_i * sprime; // start of block i DTidx s_bj = b_j * sprime; // start of block j min = i; for (x = i+1; x < s_bi + sprime; x++) if (R->A(x) < R->A(min)) min = x; DTidx k, twotothek, block_tmp; // for index calculations in M and M' b_i++; // block where out-of-block-query starts if (s_bj - s_bi - sprime < sprimeprime) { // no superblock query k = bit_magic::l1BP(block_difference - 2); twotothek = 1 << k; // 2^k x = m(k, b_i); y = m(k, b_j-twotothek); min_i = R->A(x) <= R->A(y) ? x : y; } else { // here we have to answer a superblock-query: DTidx sb_i = superblock(i); // i's superblock DTidx sb_j = superblock(j); // j's superblock block_tmp = block((sb_i+1)*sprimeprime); // end of left out-of-block-query k = bit_magic::l1BP(block_tmp - b_i); twotothek = 1 << k; // 2^k x = m(k, b_i); y = m(k, block_tmp+1-twotothek); min_i = R->A(x) <= R->A(y) ? x : y; if (sb_j > sb_i + 1) { // the superblock-query: k = bit_magic::l1BP(sb_j - sb_i - 2); twotothek = 1 << k; x = Mprime[k][sb_i+1]; y = Mprime[k][sb_j-twotothek]; min_j = R->A(x) <= R->A(y) ? x : y; if (R->A(min_j) < R->A(min_i)) min_i = min_j; } block_tmp = block(sb_j*sprimeprime); // start of right out-of-block-query k = bit_magic::l1BP(b_j - block_tmp); twotothek = 1 << k; // 2^k block_tmp--; // going one block to the left doesn't harm & saves tests x = m(k, block_tmp); y = m(k, b_j-twotothek); min_j = R->A(x) <= R->A(y) ? x : y; if (R->A(min_j) < R->A(min_i)) min_i = min_j; } if (R->A(min_i) < R->A(min)) min = min_i; for (x = s_bj; x <= j; x++) if (R->A(x) < R->A(min)) min = x; } return min; } /** * Standard Constructor. */ RMQ_succinct_engineered::RMQ_succinct_engineered(RMQ_optimal* R, DTidx n) { this->R = R; this->n = n; sprime = 1 << 6; // block-size sprimeprime = 1 << 8; // superblock-size nb = block(n-1)+1; // number of blocks nsb = superblock(n-1)+1; // number of superblocks // The following is necessary because we've fixed s' and s'' according to the // computer's word size and NOT according to the input size. This may cause // the (super-)block-size to be too big, i.e., the array too small. For such // small instances it isn't advisable anyway to use this data structure, // because simpler methods are faster and less space consuming. if (nb n) end = n; // last block could be smaller than sprime! if (R->A(z) < R->A(q)) q = z; // update minimum in superblock while (++z < end) { // step through current block: if (R->A(z) < R->A(p)) p = z; // update minimum in block if (R->A(z) < R->A(q)) q = z; // update minimum in superblock } M[0][i] = p-start; // store index of block-minimum (offset!) if (z % sprimeprime == 0 || z == n) { // reached end of superblock? Mprime[0][g++] = q; // store index of superblock-minimum q = z; } } // fill M: DTidx dist = 1; // always 2^(j-1) for (DTidx j = 1; j < M_depth; j++) { M[j] = new uchar[nb]; mem += sizeof(uchar) * nb; for (DTidx i = 0; i < nb - dist; i++) { // be careful: loop may go too far M[j][i] = R->A(m(j-1, i)) <= R->A(m(j-1,i+dist)) ? M[j-1][i] : M[j-1][i+dist] + (dist*sprime); // add 'skipped' elements in a } for (DTidx i = nb - dist; i < nb; i++) M[j][i] = M[j-1][i]; // fill overhang dist *= 2; } // fill M': dist = 1; // always 2^(j-1) for (DTidx j = 1; j < Mprime_depth; j++) { Mprime[j] = new DTidx[nsb]; mem += sizeof(DTidx)*nsb; for (DTidx i = 0; i < nsb - dist; i++) { Mprime[j][i] = R->A(Mprime[j-1][i]) <= R->A(Mprime[j-1][i+dist]) ? Mprime[j-1][i] : Mprime[j-1][i+dist]; } for (DTidx i = nsb - dist; i < nsb; i++) Mprime[j][i] = Mprime[j-1][i]; // overhang dist *= 2; } } /** * Destructor. Deletes allocated space. */ RMQ_succinct_engineered::~RMQ_succinct_engineered() { if (sequence_very_small) return; for (DTidx i = 0; i < M_depth; i++) delete[] M[i]; delete[] M; for (DTidx i = 0; i < Mprime_depth; i++) delete[] Mprime[i]; delete[] Mprime; } rmq_experiments/optimalRMQ/optimalRMQ.hpp0000644000374200006440000000675011274546717017244 0ustar gogtcs#ifndef _RMQ_optimal_hpp_ #define _RMQ_optimal_hpp_ #include "sdsl/balanced_parentheses_support.hpp" #include "sdsl/select_support.hpp" #include "sdsl/vectors.hpp" #include "sdsl/bitmagic.hpp" #include #include #include #include #include using namespace std; using namespace sdsl; typedef int32_t DT; // type of the input data typedef uint32_t DTidx; // for indexing in arrays typedef unsigned char uchar; // must be big enough to hold block indices class RMQ_succinct_engineered; // forward declaration /* Implements the systematic RMQ-algorithm described by Fischer (2008, unpublished). */ class RMQ_optimal { public: // returns RMQ[i,j] virtual DTidx query(DTidx, DTidx); // returns space occupied by the index (in bytes) virtual unsigned long getSize(); // return bp.excess(E[i]+(i*s)), the value of the min in the i'th block virtual unsigned long A(DTidx i); // RMQ_optimal(DT* a, DTidx n); RMQ_optimal(const int_vector<> &a, DTidx n); ~RMQ_optimal(); // the DFUDS of the 2d-Min-Heap bit_vector U; // operations on U (rank/select/excess/findopen) balanced_parentheses_support_simple,rank_support_v<>,select_support_mcl<0> > bp; // positions of block minima (of excess-values in U) int_vector<> E; // normal RMQs on block minima of excess sequence: RMQ_succinct_engineered* R; protected: // size of input array DTidx n; // block size in U DTidx s; // number of blocks in U (always 2n+2/s) DTidx nb; // precomputed +-1RMQs uchar** P; // precomputed mask for type-calculation (lower s bits set) uint64_t mask; // method for answering +-1RMQs, assumes i <= j virtual DTidx RMQ_excess(DTidx i, DTidx j); // count allocated memory: unsigned long mem; }; /** * Implements a type-A algorithm for RMQ, needed to answer * RMQs on block minima of the excess sequence of the DFUDS. * There are blocks of size s' and superblocks of size s''. * Queries lying completely inside the blocks are handled naively. **/ class RMQ_succinct_engineered { public: // return RMQ[i,j] virtual DTidx query(DTidx, DTidx); // returns space occupied by the index (in bytes) virtual unsigned long getSize(); // prepare excess sequence of U.excess(E[i]+(i*s)) RMQ_succinct_engineered(RMQ_optimal*, DTidx); ~RMQ_succinct_engineered(); protected: // number of elements DTidx n; // pointer to calling type-p scheme RMQ_optimal* R; // table M for the out-of-block queries (contains indices of block-minima) uchar** M; // because M just stores offsets (rel. to start of block), this method // re-calculates the true index: inline DTidx m(DTidx k, DTidx block) { return M[k][block]+(block*sprime); } // depth of table M: DTidx M_depth; // table M' for superblock-queries (contains indices of block-minima) DTidx** Mprime; // depth of table M': DTidx Mprime_depth; // block size DTidx sprime; // superblock size DTidx sprimeprime; // number of blocks (always n/sprime) DTidx nb; // number of superblocks (always n/sprimeprime) DTidx nsb; // return block-number of entry i: inline DTidx block(DTidx i) { return i/sprime; } // return superblock-number of entry i: inline DTidx superblock(DTidx i) { return i/sprimeprime; } // count allocated memory: unsigned long mem; // true if excess sequence is very small => answer queries naively bool sequence_very_small; }; #endif rmq_experiments/optimalRMQ/testRMQ.cpp0000644000374200006440000000425511274546717016547 0ustar gogtcs#include "optimalRMQ.hpp" #include "sdsl/util.hpp" #include "sdsl/testutils.hpp" #include #include #include #include using namespace std; using namespace sdsl; typedef vector tVI; main(int argc, char* argv[]) { string file_name; cin>>file_name; int_vector<> v; if(! util::loadFromFile(v, file_name.c_str()) ){ cerr<<"could not open file "< dummy; v.swap(dummy); } */ stop_watch stopwatch; stopwatch.start(); // RMQ_optimal RMQ(a,n); RMQ_optimal RMQ(v,n); stopwatch.stop(); cerr << stopwatch.getUserTime() << " ms for creation of rmq_optimal" << endl; cout << stopwatch.getUserTime() << ","; /* delete [] a; cerr<getSize()) << ", "; DTidx i, j; srand(23); tVI::size_type q=10000000; tVI::size_type k=0; stopwatch.start(); for(tVI::size_type i=0,l,r; i=n){ cerr<<" result > n"<ALcLJ#)HL$L|$MD|LLLyfAWAVIAUAATUSH(Pw4T$1D1ANjD$D$D)D$ \$EeADl$ލ.A9ԉ\$$sAI~DHSI~HËt$HPt$H9ABAt$Av4|5D9wDD$$AN8AA)A)A91D1҉D$ D$D|$ A1AωʼnA)HHHHH?D AAM9L$EL$I~D|$t$D+|$HAPI~HDL'AT$Dd$H9ŋl$EC9l$JEAtXAt+I~HSI~IDL/AUI9DBl$I~L/AUI~IDHPI9DBI~HPI~HDL?AWH9DB9l$I~L?AWI~HDL/AUI~H9DmACDHPI~IĉL?AWI~I9ABDmHDPI~IĉL?AWI~I9ABDmHDPI~IĉL?AWI9EDC9l$QH(D[]A\A]A^A_ËD$ HHHt~HHcDAM~EĉDT$DO A)EE$G<AAI~ADHPI~IDH/UDI9AGHHHDHHHD AMfDˉDAAME)E$AAxACDI~L/AUI~IʼnHPI9DGD9Dd$+D$ HHHHH IV(AAAED)J4DIL)Aރ?HHoLINlILAML)MLnLLT$XLd$XHHHLT$(Ht$`IML$MLIHE1HH;t$(H\$hGLOMAH9II?JDIHtIAHIIt/II?JDHIM9bHII?JDH\IM93H@HI9 M\$DIJDL_?Ht L_M9I|$H9II?MCJDHt MCM9LgLDDH?HDIxHt IxI9MD$DIJDу?H:H>?HI#@EA)DHH ?HI#@EA)DHH ?HI#@EA)DHH LFL9LMEH)M)HIVMEIA?JTDIHLIEJIL9HMM)IKMDI?JTIAHLIIL9BLDH?HTIIB AB<MPAHLMI$MIM)I~[IDJT?AHHLMMBL9MM)IRMDI?JTyLDH?HTHHB %<yE4(MHMcIN#HcIL# AHT$hH|$`H9HNHHH9T$(IIL+D$(II{JD?AHt I{I9tHH9T$(MBIt`It-IЉI?JDH|HI9WHIԉI?JDHXHI9*HI҉I?JDH4HI9HH9T$(HI9LBLDLH?HDHHI9IPH։H?HDHtsHI9IPIӉI?JDHtPHI9YIPH9T$(iHӉH?HDHEHIHqHH뷃?HI#BEA)DHH /II?HI#@EA)DHH ?HI#@EA)DHH ?HI#@EA)DHH LEHA?HTDHHB %<DLDH?HTIIB AB<HHHH{Ht$HH;|$(II?JDHIM9oHILHIH\$pHHtH{Ht$~H뺃IuL9KHHH?IHtII~HIdI@ATUHSHpHHtHH|t|H1AfDHBN#<?L>H<HH!~H$(HHHHǺHHHHLHcIIL 4L!6H$eH$HHHVLHcHHH <H!>H$1H놐AWAVA1AUATUHHSHhHH|$ Ht$H1Hl$(HL$ H\$ HT$ HA HC(H(H8H HL$hHT$XHAH\$pC@Ht$ HCHF8HF(1HP8LD$ H|$X1H\$ 11IPHG0HpI@LD$xHL\$x1H|$xIC8IC@ICHLl$X111IL$H$L|$X111IǘL$H$H$HD$X11HA0HA8HH$H$HT$XH\$XHǂHHH$HCH$B@Ht$XHBHdž1HHl$X11HHl$`HLd$XL\$ 111IXIDŽ$ADŽ$ HIDŽ$(IDŽ$0LL\$0HDHǾHHL$ C6H$ 1҉D$<HDxHǁƉD$@HH|$(H$(HtA^HT$ ǂ| HH|$ IDEYHt$ 1ADDJHD9wHHH&HHHDPH$1AHL$ $@DMcDeB<L!MA?EIECNL$?jHIcHH 4DI#0HH I0HDD$BN#<?L>+H<HH!~H$(HHTTHHǺHHHHLHcIIL 4L!6H$H$HHHHcHHH <H!>H$H1EHLXAHLXAHwAVA AUIHATILU1SIt$LI$I\$H?HH=vAHպHLI$HHH?HH9rL4 H)HLHI$[H?HH)]A\A]IA^Ld$IH0H\$Ll$IHILHLHLd$Ll$HH$HHLXAHLXAHIHHL LO?LWLLHHUUUUUUUUH33333333AIzIOL#Ϲ?D)LHH!HI)LIH!I!IALHHHHH%IH!HH8HAIA?IOD)H%IHwHw1HwHLXAHHLX8AHHHHHSHHH[HHtEHHwH?HHH Hu0HHHtZHHHG@HH0HtH8Huk0/H(Hu7 HHHt@HGË(@8AVIAUIATIUSHGH(H@I|$I\-HHHPI9r,vLkIl$HsHH}H?HHuH[]A\A]A^HHH1HHIHL LOHtLWIJHtHH?@Lƃ?HGHUUUUUUUUAILXIOIH H ȹ?H1HH#H33333333D)H!HIII!L)HHH!H!HIAH%IIILL!HH8HAIA?IK4)H%IH\$Hl$HLl$L|$ALd$Lt$H8LGHH4$Hw(H<$HMLH)HLjI\=HH9vPLE1EMEH)HH<H}I9H9IPN$H)LHH)H;}LEHLaHIFL&I9J<1EIt L$JLHu(H)HM%)$D) 5P       @ &= 11 84 Tb    }2 &&& !%&"T+b!! 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Tree Node* root = NULL; // root of Cart. Tree Node* last = NULL; // last popped node Node* current = NULL; // node to be created in this step Node* nodes = new Node[n]; DTidx ncnt=0; for (DTidx i = 0; i < n; i++) { last = NULL; // while (!rp.empty() && A[rp.top()->i] > A[i]) { while (!rp.empty() && A[ rp.top()-nodes ] > A[i]) { last = rp.top(); rp.pop(); } // current = new Node(i); current = &nodes[ncnt++]; // current->i=i; current->l = last; if (!rp.empty()) rp.top()->r = current; else root = current; rp.push(current); } U = bit_vector(4*n, 0); // BPS of extended Cartesian Tree // cerr<<"U="<(&U); rnk0 = rank_support_v<0>(&U); slc10 = select_support_mcl<10,2>(&U); // calc. block minima of U's excess sequence & precompute in-block queries: cerr << " building +-1RMQs on excess sequence..." << endl; s = 8; // block size = 8 always best!!! nb = (4*n)/s + 1; // number of blocks in U mask = (((uint64_t)1) << s) - 1; // set lower s bits DTidx nr_types = ((DTidx)1) << s; // # different block types DTidx nr_queries = s*(s+1)/2; // # queries per block P = new uchar*[nr_types]; // P: precomputed in-block queries for (DTidx i = 0; i < nr_types; i++) { P[i] = new uchar[nr_queries]; // allocate space mem += sizeof(uchar) * nr_queries; P[i][0] = s; // init with impossible value } E = int_vector<>(nb, 0, 3); // 3 = log2(s) DTidx bi = 0; // i's block DTidx min = 0; // pos. of minimum in bi for (DTidx i = 1; i < 4*n+1; i++) { // step through DFUDS U if ((i%s==0) || (i==4*n)) { // reached new block E[bi] = min - (bi*s); // store position of block minimum // precompute in-block-queries for scanned block (if necessary): uint64_t type = (U.data())[bi*s/64]; // type of block DTidx shift = (bi % (64/s)) * s; // offset to start of block in word type &= (mask << shift); // mask bits in block type >>= shift; // shift block to lower s bits if (type >= nr_types) { cerr << "ALERT!!!" << endl; exit(-1); } //DEBUG if (P[type][0] == s) { DTidx p = 0; for (DTidx j = bi*s; j < (bi+1)*s; j++) { DTidx min2 = j; for (DTidx k = j; k < (bi+1)*s; k++) { long em = (min2 < 4*n) ? excess(min2) : LONG_MAX; long ek = (k < 4*n) ? excess(k) : LONG_MAX; if (ek < em) min2 = k; P[type][p++] = (uchar) min2-(bi*s); } } } bi++; min = i; // increase block number & init minimum } else if (excess(i) < excess(min)) min = i; // found new minimum } E[nb-1] = min - (bi*s); // store min of last block // prepare bp.excess(E[i]+(i*s)) for (normal) RMQs: R = new RMQ_succinct_engineered(this, nb); cerr << "...done.\n"; } unsigned long RMQ_sadakane::A(DTidx i) { return excess(E[i]+(i*s)); } RMQ_sadakane::~RMQ_sadakane() { delete R; for (DTidx i = 0; i < (1< scan naively for (x = i+1; x <= j; x++) if (R->A(x) < R->A(min)) min = x; } else { DTidx s_bi = b_i * sprime; // start of block i DTidx s_bj = b_j * sprime; // start of block j min = i; for (x = i+1; x < s_bi + sprime; x++) if (R->A(x) < R->A(min)) min = x; DTidx k, twotothek, block_tmp; // for index calculations in M and M' b_i++; // block where out-of-block-query starts if (s_bj - s_bi - sprime < sprimeprime) { // no superblock query k = bit_magic::l1BP(block_difference - 2); twotothek = 1 << k; // 2^k x = m(k, b_i); y = m(k, b_j-twotothek); min_i = R->A(x) <= R->A(y) ? x : y; } else { // here we have to answer a superblock-query: DTidx sb_i = superblock(i); // i's superblock DTidx sb_j = superblock(j); // j's superblock block_tmp = block((sb_i+1)*sprimeprime); // end of left out-of-block-query k = bit_magic::l1BP(block_tmp - b_i); twotothek = 1 << k; // 2^k x = m(k, b_i); y = m(k, block_tmp+1-twotothek); min_i = R->A(x) <= R->A(y) ? x : y; if (sb_j > sb_i + 1) { // the superblock-query: k = bit_magic::l1BP(sb_j - sb_i - 2); twotothek = 1 << k; x = Mprime[k][sb_i+1]; y = Mprime[k][sb_j-twotothek]; min_j = R->A(x) <= R->A(y) ? x : y; if (R->A(min_j) < R->A(min_i)) min_i = min_j; } block_tmp = block(sb_j*sprimeprime); // start of right out-of-block-query k = bit_magic::l1BP(b_j - block_tmp); twotothek = 1 << k; // 2^k block_tmp--; // going one block to the left doesn't harm & saves tests x = m(k, block_tmp); y = m(k, b_j-twotothek); min_j = R->A(x) <= R->A(y) ? x : y; if (R->A(min_j) < R->A(min_i)) min_i = min_j; } if (R->A(min_i) < R->A(min)) min = min_i; for (x = s_bj; x <= j; x++) if (R->A(x) < R->A(min)) min = x; } return min; } /** * Standard Constructor. */ RMQ_succinct_engineered::RMQ_succinct_engineered(RMQ_sadakane* R, DTidx n) { this->R = R; this->n = n; sprime = 1 << 6; // block-size sprimeprime = 1 << 8; // superblock-size nb = block(n-1)+1; // number of blocks nsb = superblock(n-1)+1; // number of superblocks // The following is necessary because we've fixed s' and s'' according to the // computer's word size and NOT according to the input size. This may cause // the (super-)block-size to be too big, i.e., the array too small. For such // small instances it isn't advisable anyway to use this data structure, // because simpler methods are faster and less space consuming. if (nb n) end = n; // last block could be smaller than sprime! if (R->A(z) < R->A(q)) q = z; // update minimum in superblock while (++z < end) { // step through current block: if (R->A(z) < R->A(p)) p = z; // update minimum in block if (R->A(z) < R->A(q)) q = z; // update minimum in superblock } M[0][i] = p-start; // store index of block-minimum (offset!) if (z % sprimeprime == 0 || z == n) { // reached end of superblock? Mprime[0][g++] = q; // store index of superblock-minimum q = z; } } // fill M: DTidx dist = 1; // always 2^(j-1) for (DTidx j = 1; j < M_depth; j++) { M[j] = new uchar[nb]; mem += sizeof(uchar) * nb; for (DTidx i = 0; i < nb - dist; i++) { // be careful: loop may go too far M[j][i] = R->A(m(j-1, i)) <= R->A(m(j-1,i+dist)) ? M[j-1][i] : M[j-1][i+dist] + (dist*sprime); // add 'skipped' elements in a } for (DTidx i = nb - dist; i < nb; i++) M[j][i] = M[j-1][i]; // fill overhang dist *= 2; } // fill M': dist = 1; // always 2^(j-1) for (DTidx j = 1; j < Mprime_depth; j++) { Mprime[j] = new DTidx[nsb]; mem += sizeof(DTidx)*nsb; for (DTidx i = 0; i < nsb - dist; i++) { Mprime[j][i] = R->A(Mprime[j-1][i]) <= R->A(Mprime[j-1][i+dist]) ? Mprime[j-1][i] : Mprime[j-1][i+dist]; } for (DTidx i = nsb - dist; i < nsb; i++) Mprime[j][i] = Mprime[j-1][i]; // overhang dist *= 2; } } /** * Destructor. Deletes allocated space. */ RMQ_succinct_engineered::~RMQ_succinct_engineered() { if (sequence_very_small) return; for (DTidx i = 0; i < M_depth; i++) delete[] M[i]; delete[] M; for (DTidx i = 0; i < Mprime_depth; i++) delete[] Mprime[i]; delete[] Mprime; } Node::Node(DTidx i) { // Node::nr = Node::nr+1; // this->i = i; this->l = NULL; this->r = NULL; } Node::~Node() { // Node::nr = Node::nr-1; // if (l!=NULL) delete l; // if (r!=NULL) delete r; } rmq_experiments/sadaRMQ/sadakaneRMQ.hpp0000644000374200006440000000766011274546717016612 0ustar gogtcs#ifndef _RMQ_sadakane_hpp_ #define _RMQ_sadakane_hpp_ #include "sdsl/rank_support_v.hpp" #include "sdsl/select_support_mcl.hpp" #include "sdsl/vectors.hpp" #include "sdsl/bitmagic.hpp" #include #include #include #include #include #include using namespace std; using namespace sdsl; typedef int32_t DT; // type of the input data typedef uint32_t DTidx; // for indexing in arrays typedef unsigned char uchar; // must be big enough to hold block indices class RMQ_succinct_engineered; // forward declaration // class for binary trees (Cartesian Tree in our case): class Node { public: // static uint64_t nr; // DTidx i; // position in array Node* l; // left child Node* r; // right child Node(DTidx i=0); ~Node(); }; //uint64_t Node::nr = 0; /* Implements the non-systematic RMQ-algorithm described by Sadakane (ISAAC 2002). */ class RMQ_sadakane { public: // returns RMQ[i,j] virtual DTidx query(DTidx, DTidx); // returns space occupied by the index (in bytes) virtual unsigned long getSize(); // return bp.excess(E[i]+(i*s)), the value of the min in the i'th block virtual unsigned long A(DTidx i); // RMQ_sadakane(DT* a, DTidx n); RMQ_sadakane(const int_vector<> &a, DTidx n); ~RMQ_sadakane(); // size of input array DTidx n; // the BPS of the extended Cartesian Tree bit_vector U; // rank10-operations on U rank_support_v<10,2> rnk10; // rank0-operations on U (needed for computing excess) rank_support_v<0> rnk0; inline unsigned long excess(DTidx i) { return i+1-2*rnk0.rank(i+1); } // select10-operations on U select_support_mcl<10,2> slc10; // positions of block minima (of excess-values in U) int_vector<> E; // block size in U DTidx s; // number of blocks in U (always 4n/s) DTidx nb; // precomputed +-1RMQs uchar** P; // normal RMQs on block minima of excess sequence: RMQ_succinct_engineered* R; protected: // precomputed mask for type-calculation (lower s bits set) uint64_t mask; // method for answering +-1RMQs, assumes i <= j virtual DTidx RMQ_excess(DTidx i, DTidx j); // recursive procedure to create the BPS: void create_BPS(Node*); // count allocated memory: unsigned long mem; }; /** * Implements a type-A algorithm for RMQ, needed to answer * RMQs on block minima of the excess sequence of the DFUDS. * There are blocks of size s' and superblocks of size s''. * Queries lying completely inside the blocks are handled naively. **/ class RMQ_succinct_engineered { public: // return RMQ[i,j] virtual DTidx query(DTidx, DTidx); // returns space occupied by the index (in bytes) virtual unsigned long getSize(); // prepare excess sequence of U.excess(E[i]+(i*s)) RMQ_succinct_engineered(RMQ_sadakane*, DTidx); ~RMQ_succinct_engineered(); protected: // number of elements DTidx n; // pointer to calling type-p scheme RMQ_sadakane* R; // table M for the out-of-block queries (contains indices of block-minima) uchar** M; // because M just stores offsets (rel. to start of block), this method // re-calculates the true index: inline DTidx m(DTidx k, DTidx block) { return M[k][block]+(block*sprime); } // depth of table M: DTidx M_depth; // table M' for superblock-queries (contains indices of block-minima) DTidx** Mprime; // depth of table M': DTidx Mprime_depth; // block size DTidx sprime; // superblock size DTidx sprimeprime; // number of blocks (always n/sprime) DTidx nb; // number of superblocks (always n/sprimeprime) DTidx nsb; // return block-number of entry i: inline DTidx block(DTidx i) { return i/sprime; } // return superblock-number of entry i: inline DTidx superblock(DTidx i) { return i/sprimeprime; } // count allocated memory: unsigned long mem; // true if excess sequence is very small => answer queries naively bool sequence_very_small; }; #endif rmq_experiments/sadaRMQ/testRMQ.cpp0000644000374200006440000000453211274546717016010 0ustar gogtcs#include "sadakaneRMQ.hpp" #include "sdsl/testutils.hpp" #include #include #include using namespace std; typedef vector tVI; main(int argc, char* argv[]) { string file_name; cin>>file_name; int_vector<> v; // v = int_vector<>(4); // v[0] = 4; v[1] = 5; v[2] = 3; v[3] = 3; // v[0] = 0; v[1] = 0; v[2] = 0; v[3] = 0; if(! util::loadFromFile(v, file_name.c_str()) ){ cerr<<"could not open file "<getSize() << ", "; srand(23); tVI::size_type q=10000000; tVI::size_type k=0; stopwatch.start(); for(tVI::size_type i=0,l,r; i=n){ cerr<<" result > n"< #include using namespace std; using namespace sdsl; typedef csa_wt::wavelet_tree_type, 24, 100, 0> tCSAWT; typedef cst_sct tCST; int main(){ typedef tCST::size_type size_type; typedef tCST::node_type node_type; string file_name; cin>>file_name; tCST cst; if( !util::loadFromFile( cst, (file_name+".wt.sct_cst").c_str()) ) { char *c_str = NULL; if( file::readText((const char*)file_name.c_str(), c_str) == 0 ){ cerr<<"Could not load file \""< 0 ) a[0] = 1; // for(size_type i=1; i queries(1000000*2); for(size_type i=0; igetSize())*8)/cst.csa.size() ) <<", "; // size in bits per character // cout<< util::get_size_in_bytes(cst)+cst.rmq_sada->getSize() <<", "; cout<< ( ((double)(util::get_size_in_bytes(cst)*8))/cst.csa.size() ) <<", "; // size in bits per character cout<< util::get_size_in_bytes(cst) <<", "; cout<< util::get_size_in_bytes(cst.csa) << ", "; cout<< util::get_size_in_bytes(cst.lcp) << ", "; cout<< util::get_size_in_bytes(cst.bp) << ", "; cout<< util::get_size_in_bytes(cst.bp_support) <<", "; /* vector lcpocc(18,0); for(tCST::const_iterator it=cst.begin(); it!=cst.end(); ++it){ if( *it != cst.root() and it.visit()==1 ){ size_type diff = cst.depth(*it)-cst.depth(cst.parent(*it)); if(diff > 17) diff = 17; ++lcpocc[diff]; } } for(int i=0; i<18; ++i) { cerr< tcc (./compressedRMQ/testRMQ < tcc >> 5_compr_sol.txt ) & procid=$! echo pid $procid echo -n "$TESTCASE, " >> 5_compr_sol_mem.txt ./maxmeminfo.py $procid >> 5_compr_sol_mem.txt echo "run ./succinctRMQ/testRMQ" (./succinctRMQ/testRMQ < tcc >> 4_succ_sol.txt) & procid=$! echo pid $procid echo -n "$TESTCASE, " >> 4_succ_sol_mem.txt ./maxmeminfo.py $procid >> 4_succ_sol_mem.txt rm tcc done rmq_experiments/sdsl-0.7.3.tar.gz0000644000374200006440000302763511274553157015224 0ustar gogtcs J}WHc dր M7ٖmmdɫjd{s!XwUA䕷+ݭ]?sppVm+??T;{ϞnbԳ~B!?Q'jynug?uYo.EDfnqyㄑjxQ,uLg;j(+u:u$@I5~"ϰ\_ubԙ; (.5wruwufN8v*Tlnn/m{0_Nd`1ܾGd0hcH1Xٞ98!\=y`Auǎa \Ezܑ3/ΞY>&&S{HTi3œ!ˌ# ռ;N bgRW8:a &i [~̢3Ԏ*};lP;2 SB;H"~2;D΍R:︷$ z;FZl@mRs̱݁ϳD ;RaFt;Y\D;.C1G*< , VOL'VANI:¯ܕ7r>Q#ώ x c -"2cZ&&K8#A$C$_BpԃFb)(鏕Q;v|]Z1 5tB@.9(W2,^jΑ3tRR3 ZD:h $m&@ "L0ZzkeTtZ,=it6EK+X6v?s!C3ݍ]@*(36'JW2w`nm4ǣY׼0{ظc$>AR*2 , QEwNpEV8ѐh t M%9 'x+E ;iӕ-i :G `K\J0/ Tti >O.P'.,G`Ĥa\7+ x)c0)@uX1Z()Qݡl% r1䀚f$8)H =+hOFzhA 91hNJM $f"1c  f^jC 4@)i; 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(#b'EɈ[AjϊK¢}OV +, g )JiiDJBb%*Vps,,' /hN _caxx"{׾nzi=ɮ#BǑ,8הnXdrDŷޘHx{On"C el#;\W)1|o?|6&=}JX7AP6Jz¼ ^+<SE5dG ,ʊ0 *#)R 7j*-]u g/v!Ftt}yA +vpbA!Yp3*RFvAI*LjT7c3YBk^S!ՉcJtfuu-ڥ7_d6A -ۨO0`|䪚>jA_ `=S{pa 26؇"AiK+5:'cY^lMad]Sx' 򤢞\ojV"ެdTвJht- RKoS?_2+I1nbO{g× C]ҟ=@nb*K!4 u7"X8䨒3H[)J@j$p7agyԘë᠇,J]p>fbXB (/E"1Q WԶڵU#-_7%U 3X|?>|?>|?>|?>|^5HJrmq_experiments/plot_sizes.R0000644000374200006440000001712711274564111014763 0ustar gogtcsxfigoutput=TRUE xfigoutput=FALSE #par(pin=c(10,5)) if(xfigoutput){ xfig("size_and_time_results.xfig", horizontal=TRUE, width=9, height=3.6 ) #pdf("size_and_time_results.pdf", width=17.1, height=8.2) # svg("size_and_time_results.svg") } directory = "." data <- list() memdata <- list() names <- c() z <- 1 print("read running time data and memory consumption") for(resfile in dir(directory, pattern= ".*sol.txt")){ print(resfile) memfile = sub("sol.txt", "sol_mem.txt", resfile) print(memfile) data[[resfile]] <- read.csv( paste(directory,"/",resfile, sep=""), header=FALSE) memdata[[resfile]] <- read.csv( paste(directory,"/",memfile, sep=""), header=FALSE) names[z] <- sub("[0-9]*_","",sub("_sol.txt","",resfile)) z <- z+1 } test_cases <- t(data[[length(data)]][c(1)]) #par(mfrow=c(2, (length(test_cases)+1)/2 )) par(mfrow=c(1,2), cex=0.8) par(las = 1) par(srt=0) sizes = matrix(0, ncol=0, nrow=6) times = vector("numeric", 0) spaces = vector("numeric", 0) constr_times = vector("numeric", 0) constr_sizes = vector("numeric", 0) constr_inputs = vector("numeric", 0) output_sizes = vector("numeric", 0) maxtime = 100#max(time[[1]])*1.2 maxsize = 250 namescnt <- 0 namesarg <-list() toadd <- c() tcnt <- 1 test_cases <- unique(sort(test_cases)) tests_in_diagram = 3 cnt_tests=0 for(t in test_cases){ # for all testcases do if(TRUE && length(grep("english",t))>0 ){ cnt_tests <- cnt_tests + 1 print(t) maxsize = 0 time <- vector("numeric", length(data) ) size <- matrix(0, ncol=(length(data)), nrow=6) constr_size <- vector("numeric", length(data) ) constr_time <- vector("numeric", length(data) ) constr_input <- vector("numeric",length(data) ) output_size <- vector("numeric",length(data) ) for(i in 1:length(data)){ # handle running time of queries and construction rr = subset(data[[i]], V1 == t) mem_rr = subset(memdata[[i]], V1 == t) if( nrow(rr) > 0 ){ rr = mean(rr[2:ncol(rr)]) if(i == 5){ rr[[4]] <- sum(rr[4:7]) rr <- rr[c(-5,-6,-7)] } mem_rr = mean(mem_rr[2:ncol(mem_rr)]) time[i] <- (rr[[length(rr)-2]]/1000) constr_time[i] <- (rr[[2]]/1000) constr_size[i] <- mem_rr[1]/1024.0**2 constr_input[i] <- (ceiling((ceiling(log2(rr[[1]]))*rr[[1]])/8))/1024.0**2 rrr = rr[4:(length(rr)-3)] for(j in 1:length(rrr)){ size[j,i] = rrr[[j]]/(1024.0**2) } maxsize <- max(sum(size[,i]), maxsize) output_size[i] <- sum(size[,i]) } if( i == 1 && length(spaces) > 0 ){ spaces = c(spaces, 1.5) }else{ if(i==4){ spaces = c(spaces, 0.5) } else{ spaces = c(spaces, 0.1) } } namescnt <- namescnt+1 namesarg[namescnt] <- names[i] } times = c(times, time) sizes = cbind(sizes, size) constr_times = c(constr_times, constr_time) constr_sizes = c(constr_sizes, constr_size) constr_inputs = c(constr_inputs, constr_input) output_sizes = c(output_sizes, output_size) maxtime = 100#max(time[[1]])*1.2 maxsize = 300 toadd = c(toadd, tcnt) } tcnt <- tcnt+1 if( cnt_tests == tests_in_diagram || t == tail(test_cases,1) ){ test_cases2 <- test_cases[toadd] print(toadd) print(tcnt) par(mar=c(4,4,4,4), xpd=TRUE) ### # Plot time and space of query phase # sumspaces = rep(0.5+spaces[1], length(spaces)) for(i in (2:length(spaces))){ sumspaces[i] <- sumspaces[i-1] + 1 + spaces[i] } dummy = matrix(0, ncol=ncol(sizes), nrow=nrow(size)) barplot(dummy, width = 1, space = spaces, ylim=c(0, maxsize), #xlim = c(0, tail(sumspaces,1)+3), names.arg = namesarg, main = expression(bold(paste("Memory consumption and time for ",10^7," queries"))), las=2, axes = FALSE ) axis(2, tck = 1, col="gray", lty=2, at = (0:5)*(maxsize/6), labels=FALSE ) axis(2, col="black", at = (0:6)*(maxsize/6), labels=FALSE, tcl=0 ) axis(2, col="black", at = (0:5)*(maxsize/6), labels=TRUE ) axis(4, at = (0:(maxtime/10))*(10*maxsize/maxtime), labels = FALSE, tcl=0 ) axis(4, at = (0:(0.8*maxtime/10))*(10*maxsize/maxtime), labels = (0:((0.8*maxtime/10))*10) ) mtext("Size\nin\nMB", side=2, las=2, at=maxsize, line=1, padj=1) mtext("Time\nin\nsec", side=4, at=maxsize, las=2, line=1, padj=1) barplot(sizes, width = 1, space = spaces, ylim=c(0, maxsize), add=TRUE, col = "white", axes = FALSE, offset=0) sizes2 = sizes sizes2[1, sizes2[2,]==0] <- 0 barplot(sizes2, width = 1, space = spaces, ylim=c(0, maxsize), add=TRUE, axes = FALSE) # print the running times with little labels par(srt=90, font=2) points( sumspaces, times*(maxsize/maxtime), pch=8, bg="black", col="black" ) text( sumspaces, times*(maxsize/maxtime)+0.02*maxsize, paste( as.character((floor(times*10)/10)), "s", sep=""), bg="white", cex=0.7, adj=c(0,0.5) ) par(srt=0, font=1) # print the filenames and group marker on the top for(i in 0:(length(spaces)/length(names)-1) ){ gx1 = sumspaces[i*length(names)+1]-0.7 gx2 = sumspaces[(i+1)*length(names)]+0.7 gy = maxsize*1.0 lines( c(gx1,gx2), rep(gy,2) ) lines( c(gx1,gx1), c(gy, gy-0.02*maxsize) ) lines( c(gx2,gx2), c(gy, gy-0.02*maxsize) ) text( mean(c(gx1,gx2)), gy, sub(".lcp","",sub(".int_vector","",tail(strsplit(test_cases2[i+1],"/")[[1]],1))) , pos=3, cex=1 ) } ### # Plot space and time of construction phase # maxconstr_size = 4 maxconstr_time = 120 dummy = vector("numeric", length(constr_sizes)) barplot(dummy, width = 1, space = spaces, ylim=c(0, maxconstr_size), names.arg = namesarg, main = "Memory consumption and time for construction", las=2, axes = FALSE ) axis(2, tck = 1, col="gray", lty=2, at = (0:(2*maxconstr_size-1))/2 ) axis(2, at = (0:(2*maxconstr_size-1))/2 ) axis(2, tck = 1, at = (0:(2*(maxconstr_size)))/2, tcl=0, labels=FALSE ) axis(4, at = (0:(0.7*maxconstr_time/10))*(10*maxconstr_size/maxconstr_time), labels = (0:((0.7*maxconstr_time/10))*10) ) axis(4, at = (0:(maxconstr_time/10))*(10*maxconstr_size/maxconstr_time), tcl=0, labels=FALSE ) mtext("Size\nin\nGB", side=2, las=2, at=maxconstr_size, line=1, padj=1) mtext("Time\nin\nsec", side=4, las=2, at=maxconstr_size, line=1, padj=1) constr_sizes2 = rbind(constr_inputs/1024.0, output_sizes/1024.0, constr_sizes-constr_inputs/1024.0-output_sizes/1024.0) barplot(constr_sizes2, width = 1, space = spaces, ylim=c(0, maxsize), add=TRUE, axes = FALSE ) # print the running times with little labels par(srt=90, font=2) points( sumspaces, constr_times*(maxconstr_size/maxconstr_time), pch=8, bg="black", col="black" ) text( sumspaces, constr_times*(maxconstr_size/maxconstr_time)+0.02*maxconstr_size, paste( as.character((floor(constr_times*10)/10)), "s", sep=""), bg="white", cex=0.7, adj=c(0,0.5) ) par(srt=0, font=1) # print the filenames and group marker on the top for(i in 0:(length(spaces)/length(names)-1) ){ gx1 = sumspaces[i*length(names)+1]-0.7 gx2 = sumspaces[(i+1)*length(names)]+0.7 gy = maxconstr_size*1.0 lines( c(gx1,gx2), rep(gy,2) ) lines( c(gx1,gx1), c(gy, gy-0.02*maxconstr_size) ) lines( c(gx2,gx2), c(gy, gy-0.02*maxconstr_size) ) text( mean(c(gx1,gx2)), gy, sub(".lcp","",sub(".int_vector","",tail(strsplit(test_cases2[i+1],"/")[[1]],1))) , pos=3, cex=1.0, adj=c(0.5, 0) ) } # if(xfigoutput == FALSE ){ # dev.copy2pdf(file = paste("mem_consumption_and_spreed_of_rmq", (tcnt-1)/tests_in_diagram ,".pdf", sep="")) # } cnt_tests = 0 toadd=c() sizes = matrix(0, ncol=0, nrow=6) times = vector("numeric", 0) spaces = vector("numeric", 0) constr_times = vector("numeric", 0) constr_sizes = vector("numeric", 0) constr_inputs = vector("numeric", 0) output_sizes = vector("numeric", 0) namescnt <- 0 namesarg <-list() } } if(xfigoutput){ dev.off() } rmq_experiments/TESTDIR0000644000374200006440000000003011274563017013473 0ustar gogtcs/home/gog/rmq_testcases rmq_experiments/SDSLDIR0000644000374200006440000000004511274563015013465 0ustar gogtcs/home/gog/rmq_experiments/sdsl-0.7.3 rmq_experiments/INSTALL0000644000374200006440000000102211274564050013463 0ustar gogtcsDo the following steps to install the tests: 1.) tar -xvzf sdsl-0.7.3.tar.gz 2.) cd ../sdsl-0.7.3/ 3.) ./configure 4.) make 5.) cd .. 6.) modify the file SDSLDIR such that it contains the absolute path to sdsl-0.7.3 7.) modify the file TESTDIR such that is contains the absolute path to the directory with the test_cases (*.int_vector files) 8.) now you could run the bash scripts: ./test_non_systematic_rmq.sh, ./test_systematic_rmq.sh To visualize the results of the experiments intall R, run R, and source("plot_sizes"). rmq_experiments/test_non_systematic_rmq.sh0000744000374200006440000000172611274546720017763 0ustar gogtcs#!/bin/bash TEST_DIR=`less ./TESTDIR` echo "Building sct rmq" cd sctRMQ make clean; make cd .. echo "Building optimal rmq" cd optimalRMQ make clean; make cd .. echo "Build sada 4n+o(n) rmq" cd sadaRMQ make clean; make cd .. echo "Start testing" for TESTCASE in `find $TEST_DIR | grep int_vector`; do echo "test case: $TESTCASE" echo "run ./sctRMQ/testRMQ" echo $TESTCASE > tc (./sctRMQ/testRMQ < tc >> 3_sct_sol.txt) & procid=$! echo pid $procid echo -n "$TESTCASE, " >> 3_sct_sol_mem.txt ./maxmeminfo.py $procid >> 3_sct_sol_mem.txt echo "run ./optimalRMQ/testRMQ" (./optimalRMQ/testRMQ < tc >> 1_2dmin_sol.txt) & procid=$! echo pid $procid echo -n "$TESTCASE, " >> 1_2dmin_sol_mem.txt ./maxmeminfo.py $procid >> 1_2dmin_sol_mem.txt echo "run ./sadaRMQ/testRMQ" (./sadaRMQ/testRMQ < tc >> 2_sada_sol.txt) & procid=$! echo pid $procid echo -n "$TESTCASE, " >> 2_sada_sol_mem.txt ./maxmeminfo.py $procid >> 2_sada_sol_mem.txt rm tc done rmq_experiments/test_suffix_links.sh0000744000374200006440000000133011274546720016540 0ustar gogtcs#!/bin/bash TEST_DIR=`less ./TESTDIR` cd ./sctCST make cd .. cd ./sctbigCST make cd .. cd ./sadaCST make cd .. for t in `ls $TEST_DIR/*english.50MB`; do echo "run ./sctSCT/cstCST on $1" echo $t | ./sctCST/testCST >> 2_sct_cst.txt echo "run ./sctbigCST/testCST on $t" echo $t | ./sctbigCST/testCST >> 3_sctbig_cst.txt echo "run ./sctbig/sadaCST on $1" echo $t | ./sadaCST/testCST >> 1_sada_orig_cst.txt done for t in `ls $TEST_DIR/*pure.50MB`; do echo "run ./sadaCST/sadaCST on $t" echo $t | ./sadaCST/testCST >> 1_sada_orig_cst.txt echo "run ./sctbigCST/testCST on $t" echo $t | ./sctbigCST/testCST >> 3_sctbig_cst.txt echo "run ./sctSCT/cstCST on $t" echo $t | ./sctCST/testCST >> 2_sct_cst.txt done rmq_experiments/compressedRMQ/0000755000374200006440000000000011274547057015173 5ustar gogtcsrmq_experiments/compressedRMQ/compressedRMQ.cpp0000644000374200006440000003333611274546720020427 0ustar gogtcs#include "compressedRMQ.hpp" bool cmpFrequencies (pair u, pair v) { return (u.second > v.second); } const DTidx RMQ_compressed::Catalan[17][17] = { {1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1}, {0,1,2,3,4,5,6,7,8,9,10,11,12,13,14,15,16}, {0,0,2,5,9,14,20,27,35,44,54,65,77,90,104,119,135}, {0,0,0,5,14,28,48,75,110,154,208,273,350,440,544,663,798}, {0,0,0,0,14,42,90,165,275,429,637,910,1260,1700,2244,2907,3705}, {0,0,0,0,0,42,132,297,572,1001,1638,2548,3808,5508,7752,10659,14364}, {0,0,0,0,0,0,132,429,1001,2002,3640,6188,9996,15504,23256,33915,48279}, {0,0,0,0,0,0,0,429,1430,3432,7072,13260,23256,38760,62016,95931,144210}, {0,0,0,0,0,0,0,0,1430,4862,11934,25194,48450,87210,149226,245157,389367}, {0,0,0,0,0,0,0,0,0,4862,16796,41990,90440,177650,326876,572033,961400}, {0,0,0,0,0,0,0,0,0,0,16796,58786,149226,326876,653752,1225785,2187185}, {0,0,0,0,0,0,0,0,0,0,0,58786,208012,534888,1188640,2414425,4601610}, {0,0,0,0,0,0,0,0,0,0,0,0,208012,742900,1931540,4345965,8947575}, {0,0,0,0,0,0,0,0,0,0,0,0,0,742900,2674440,7020405,15967980}, {0,0,0,0,0,0,0,0,0,0,0,0,0,0,2674440,9694845,25662825}, {0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,9694845,35357670}, {0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,35357670} }; const DT RMQ_compressed::minus_infinity = INT_MIN; DTidx RMQ_compressed::query(DTidx i, DTidx j) { if (i > j) { DTidx t = i; i=j; j=t; } // swap if necessary DTidx b_i = i/s; // block where i is DTidx b_j = j/s; // j's block DTidx i_pos = i - (b_i*s); // position of i in its block DTidx j_pos = j - (b_j*s); // pos. of j in its block DTidx min, min_tmp; // min: to be returned DTidx start = nnd.select(b_i+1); DTidx end = nnd.select(b_i+2); DTidx type = T.getInt(start, end-start); // encoding of block-type type = (1 << (end-start)) + type - 2; // recover value if (b_j == b_i) { min = (b_i*s) + P[type][i_pos*(s-1)+j_pos-((i_pos-1)*i_pos/2)]; } else { // look up minimum in i's block: min = (b_i*s) + P[type][(i_pos+1)*(s-1)-((i_pos-1)*i_pos/2)]; // out-of-block-query: if (b_j > b_i + 1) { DTidx bm = R->query(b_i+1, b_j-1); // block where out-of-block-min occurs min_tmp = E[bm] + (bm*s); // true position of out-of-block-min if (B[min_tmp] < B[min]) min = min_tmp; } // look up minimum in j's block: start = nnd.select(b_j+1); end = nnd.select(b_j+2); type = T.getInt(start, end-start); // encoding of block-type type = (1 << (end-start)) + type - 2; // recover value min_tmp = (b_j*s) + P[type][j_pos]; if (B[min_tmp] < B[min]) min = min_tmp; } return min; } unsigned long RMQ_compressed::getSize() { cerr<<"size of lookup table in bytes "<getSize()<getSize() + util::get_size_in_bytes(T) + util::get_size_in_bytes(nnd) + util::get_size_in_bytes(E); } //RMQ_compressed::RMQ_compressed(DT* A, DTidx n) { RMQ_compressed::RMQ_compressed(const int_vector<> &A, DTidx n):B(A) { cerr << "preparing array of size " << n << " for RMQs..." << endl; // this->B = A; this->n = n; mem = 0; // counts allocated memory s = 8; // block size (8 best) nb = (n-1)/s + 1; // number of blocks in S pair* t_cnt = new pair[Catalan[s][s]]; // for counting block types for (DTidx i = 0; i < Catalan[s][s]; i++) { // init t_cnt[i].first = i; t_cnt[i].second = 0; } DT* rp = new DT[s+1]; // rp: rightmost path in Cart. tree DTidx z=0; // index in array a DTidx end; // end of current block DTidx start; // start of current block DTidx q; // position in Catalan triangle DTidx p; // --------- " ---------------- DTidx type; // type of block rp[0] = minus_infinity; // stopper (minus infinity) // first scan: count types for (DTidx i = 0; i < nb; i++) { // step through blocks start = z; // init start end = start + s; // end of block if (end > n) end = n; // last block could be smaller than s! q = s; // init q p = s-1; // init p type = 0; // init type (will be increased!) rp[1] = B[z]; // init rightmost path while (++z < end) { // step through current block: p--; while (rp[q-p-1] > (DT)B[z]) { type += Catalan[p][q]; // update type q--; } rp[q-p] = B[z]; // add last element to rightmost path } // increase type counter: t_cnt[type].second++; } // sort frequencies: sort(t_cnt, t_cnt + Catalan[s][s], cmpFrequencies); // assign codes (in order of frequency): DTidx* code = new DTidx[Catalan[s][s]]; DTidx* c_len = new DTidx[Catalan[s][s]]; DTidx c = 0; DTidx l = 0; // type described by pair (c,l) DTidx T_len = 0; // total length of bit-vector T for (int i = 0; i < Catalan[s][s]; i++) { c++; if (c == 1 << l) { // need one more bit c = 0; l++; } code[t_cnt[i].first] = c; c_len[t_cnt[i].first] = l; T_len += t_cnt[i].second * l; } delete[] t_cnt; // free memory // allocate memory for the scheme: P = new DTsucc*[Catalan[s][s]]; mem += sizeof(DTsucc*) * Catalan[s][s]; for (DTidx i = 0; i < Catalan[s][s]; i++) { P[i] = new DTsucc[s*(s+1)/2]; mem += sizeof(DTsucc) * s*(s+1)/2; // #queries P[i][0] = 1; // init with impossible value } E = int_vector<>(nb, 0, 3); // 3 = log2(s) T = bit_vector(T_len, 0); // bit-vector storing block types bit_vector W = bit_vector(T_len+1, 0); // bit-vector marking end of types with a '1' // second scan: assign types and precompute queries z=0; DTidx min; // position of minimum in current block DTidx pos = 0; // pointer to current end in T and W for (DTidx i = 0; i < nb; i++) { // step through blocks start = z; // init start min = start; // init minimum end = start + s; // end of block if (end > n) end = n; // last block could be smaller than s! q = s; // init q p = s-1; // init p type = 0; // init type (will be increased!) rp[1] = B[z]; // init rightmost path while (++z < end) { // step through current block: if (B[z] < B[min]) min = z; // update minimum p--; while (rp[q-p-1] > (DT)B[z]) { type += Catalan[p][q]; // update type q--; } rp[q-p] = B[z]; // add last element to rightmost path } E[i] = min - (i*s); // store index of minimum (relative to block) // write bits: W[pos] = 1; T.setInt(pos, code[type], c_len[type]); pos += c_len[type]; // transfer type to index in table P (this is the formula, believe me!): DTidx type2 = (1 << c_len[type]) + code[type] - 2; if (type2 >= Catalan[s][s]) { cerr << " ALERT\n"; exit(-1); } // debug // precompute in-block-queries for this block (if necessary): if (P[type2][0] == 1) { p = 0; // now index in P[type2] for (DTidx j = start; j < end; j++) { min = j; for (DTidx k = j; k < end; k++) { if (B[k] < B[min]) min = k; P[type2][p++] = min-start; } } } } W[pos] = 1; // terminate W with a '1' delete[] rp; // free memory delete[] code; delete[] c_len; // compress W and build select-information on it: nnd = nearest_neighbour_dictionary<30>(W); // prepare bp.excess(E[i]+(i*s)) for (normal) RMQs: R = new RMQ_succinct_engineered(this, nb); cerr << "...done.\n"; } unsigned long RMQ_compressed::A(DTidx i) { return B[E[i]+(i*s)]; } RMQ_compressed::~RMQ_compressed() { delete R; for (DTidx i = 0; i < (1< scan naively for (x = i+1; x <= j; x++) if (R->A(x) < R->A(min)) min = x; } else { DTidx s_bi = b_i * sprime; // start of block i DTidx s_bj = b_j * sprime; // start of block j min = i; for (x = i+1; x < s_bi + sprime; x++) if (R->A(x) < R->A(min)) min = x; DTidx k, twotothek, block_tmp; // for index calculations in M and M' b_i++; // block where out-of-block-query starts if (s_bj - s_bi - sprime < sprimeprime) { // no superblock query k = bit_magic::l1BP(block_difference - 2); twotothek = 1 << k; // 2^k x = m(k, b_i); y = m(k, b_j-twotothek); min_i = R->A(x) <= R->A(y) ? x : y; } else { // here we have to answer a superblock-query: DTidx sb_i = superblock(i); // i's superblock DTidx sb_j = superblock(j); // j's superblock block_tmp = block((sb_i+1)*sprimeprime); // end of left out-of-block-query k = bit_magic::l1BP(block_tmp - b_i); twotothek = 1 << k; // 2^k x = m(k, b_i); y = m(k, block_tmp+1-twotothek); min_i = R->A(x) <= R->A(y) ? x : y; if (sb_j > sb_i + 1) { // the superblock-query: k = bit_magic::l1BP(sb_j - sb_i - 2); twotothek = 1 << k; x = Mprime[k][sb_i+1]; y = Mprime[k][sb_j-twotothek]; min_j = R->A(x) <= R->A(y) ? x : y; if (R->A(min_j) < R->A(min_i)) min_i = min_j; } block_tmp = block(sb_j*sprimeprime); // start of right out-of-block-query k = bit_magic::l1BP(b_j - block_tmp); twotothek = 1 << k; // 2^k block_tmp--; // going one block to the left doesn't harm & saves tests x = m(k, block_tmp); y = m(k, b_j-twotothek); min_j = R->A(x) <= R->A(y) ? x : y; if (R->A(min_j) < R->A(min_i)) min_i = min_j; } if (R->A(min_i) < R->A(min)) min = min_i; for (x = s_bj; x <= j; x++) if (R->A(x) < R->A(min)) min = x; } return min; } /** * Standard Constructor. */ RMQ_succinct_engineered::RMQ_succinct_engineered(RMQ_compressed* R, DTidx n) { this->R = R; this->n = n; sprime = 1 << 6; // block-size sprimeprime = 1 << 8; // superblock-size nb = block(n-1)+1; // number of blocks nsb = superblock(n-1)+1; // number of superblocks // The following is necessary because we've fixed s' and s'' according to the // computer's word size and NOT according to the input size. This may cause // the (super-)block-size to be too big, i.e., the array too small. For such // small instances it isn't advisable anyway to use this data structure, // because simpler methods are faster and less space consuming. if (nb n) end = n; // last block could be smaller than sprime! if (R->A(z) < R->A(q)) q = z; // update minimum in superblock while (++z < end) { // step through current block: if (R->A(z) < R->A(p)) p = z; // update minimum in block if (R->A(z) < R->A(q)) q = z; // update minimum in superblock } M[0][i] = p-start; // store index of block-minimum (offset!) if (z % sprimeprime == 0 || z == n) { // reached end of superblock? Mprime[0][g++] = q; // store index of superblock-minimum q = z; } } // fill M: DTidx dist = 1; // always 2^(j-1) for (DTidx j = 1; j < M_depth; j++) { M[j] = new DTsucc[nb]; mem += sizeof(DTsucc) * nb; for (DTidx i = 0; i < nb - dist; i++) { // be careful: loop may go too far M[j][i] = R->A(m(j-1, i)) <= R->A(m(j-1,i+dist)) ? M[j-1][i] : M[j-1][i+dist] + (dist*sprime); // add 'skipped' elements in a } for (DTidx i = nb - dist; i < nb; i++) M[j][i] = M[j-1][i]; // fill overhang dist *= 2; } // fill M': dist = 1; // always 2^(j-1) for (DTidx j = 1; j < Mprime_depth; j++) { Mprime[j] = new DTidx[nsb]; mem += sizeof(DTidx)*nsb; for (DTidx i = 0; i < nsb - dist; i++) { Mprime[j][i] = R->A(Mprime[j-1][i]) <= R->A(Mprime[j-1][i+dist]) ? Mprime[j-1][i] : Mprime[j-1][i+dist]; } for (DTidx i = nsb - dist; i < nsb; i++) Mprime[j][i] = Mprime[j-1][i]; // overhang dist *= 2; } } /** * Destructor. Deletes allocated space. */ RMQ_succinct_engineered::~RMQ_succinct_engineered() { if (sequence_very_small) return; for (DTidx i = 0; i < M_depth; i++) delete[] M[i]; delete[] M; for (DTidx i = 0; i < Mprime_depth; i++) delete[] Mprime[i]; delete[] Mprime; } rmq_experiments/compressedRMQ/makefile0000644000374200006440000000071711274546720016674 0ustar gogtcs#FLAG = -g -w SDSLDIR=`less ../SDSLDIR` #SDSLDIR=/home/gog/Desktop/snowbird/sdsl-0.7.3 SDSLLIB=$(SDSLDIR)/src/sdsl/.libs/libsdsl.a FLAG = -O3 -fomit-frame-pointer -funroll-loops -DNDEBUG -w -I$(SDSLDIR)/src/ all: testRMQ testRMQ: testRMQ.cpp compressedRMQ.o g++ $(FLAG) testRMQ.cpp -o testRMQ compressedRMQ.o $(SDSLLIB) compressedRMQ.o: compressedRMQ.cpp compressedRMQ.hpp g++ $(FLAG) -c compressedRMQ.cpp .PHONY: clean clean: rm compressedRMQ.o testRMQ rmq_experiments/compressedRMQ/compressedRMQ.hpp0000644000374200006440000000675411274546720020440 0ustar gogtcs#ifndef _RMQ_compressed_hpp_ #define _RMQ_compressed_hpp_ #include "sdsl/select_support.hpp" #include "sdsl/vectors.hpp" #include "sdsl/bitmagic.hpp" #include "sdsl/nearest_neighbour_dictionary.hpp" #include #include #include #include #include #include #include using namespace std; using namespace sdsl; typedef int DT; // type of the input data typedef unsigned long DTidx; // for indexing in arrays typedef unsigned char DTsucc; // must be big enough to hold block indices class RMQ_succinct_engineered; // forward declaration /* * Implements the systematic RMQ-algorithm described by Fischer/Heun/Stuehler (DCC'2008). */ class RMQ_compressed { public: // returns RMQ[i,j] virtual DTidx query(DTidx, DTidx); // returns space occupied by the index (in bytes) virtual unsigned long getSize(); // return A[E[i]+(i*s)], the minimum in the i'th block virtual unsigned long A(DTidx i); // RMQ_compressed(DT* a, DTidx n); RMQ_compressed(const int_vector<> &a, DTidx n); ~RMQ_compressed(); // pointer to input array // DT* B; const int_vector<> &B; // the type-array bit_vector T; // bit-vector (compressed) to mark code beginnings in T nearest_neighbour_dictionary<30> nnd; // positions of block minima int_vector<> E; // precomputed +-1RMQs DTsucc** P; // normal RMQs on block minima: RMQ_succinct_engineered* R; protected: // size of input array DTidx n; // block size DTidx s; // number of blocks in U (always n/s) DTidx nb; // count allocated memory: unsigned long mem; // precomputed Catalan triangle (17 is enough for 64bit computing): static const DTidx Catalan[17][17]; // minus infinity (change for 64bit version) static const DT minus_infinity; }; /** * Implements a type-A algorithm for RMQ, needed to answer * RMQs on block minima. * There are blocks of size s' and superblocks of size s''. * Queries lying completely inside the blocks are handled naively. **/ class RMQ_succinct_engineered { public: // return RMQ[i,j] virtual DTidx query(DTidx, DTidx); // returns space occupied by the index (in bytes) virtual unsigned long getSize(); // constructor RMQ_succinct_engineered(RMQ_compressed*, DTidx); ~RMQ_succinct_engineered(); protected: // number of elements DTidx n; // pointer to calling scheme RMQ_compressed* R; // table M for the out-of-block queries (contains indices of block-minima) DTsucc** M; // because M just stores offsets (rel. to start of block), this method // re-calculates the true index: inline DTidx m(DTidx k, DTidx block) { return M[k][block]+(block*sprime); } // depth of table M: DTidx M_depth; // table M' for superblock-queries (contains indices of block-minima) DTidx** Mprime; // depth of table M': DTidx Mprime_depth; // block size DTidx sprime; // superblock size DTidx sprimeprime; // number of blocks (always n/sprime) DTidx nb; // number of superblocks (always n/sprimeprime) DTidx nsb; // return block-number of entry i: inline DTidx block(DTidx i) { return i/sprime; } // return superblock-number of entry i: inline DTidx superblock(DTidx i) { return i/sprimeprime; } // count allocated memory: unsigned long mem; // true if excess sequence is very small => answer queries naively bool sequence_very_small; }; // for STL sort: bool cmpFrequencies(pair, pair); #endif rmq_experiments/compressedRMQ/testRMQ.cpp0000644000374200006440000000713511274546720017240 0ustar gogtcs#include "compressedRMQ.hpp" #include "sdsl/util.hpp" #include "sdsl/testutils.hpp" #include "sdsl/bitmagic.hpp" #include #include #include #include using namespace std; using namespace sdsl; typedef vector tVI; main(int argc, char* argv[]) { string file_name; cin>>file_name; int_vector<> v; if(! util::loadFromFile(v, file_name.c_str()) ){ cerr<<"could not open file "< dummy; v.swap(dummy); } */ cout<getSize()) << ", "; DTidx i, j; srand(23); tVI::size_type q=10000000; tVI::size_type k=0; stopwatch.start(); for(tVI::size_type i=0,l,r; i=n){ cerr<<" result > n"<a = a; this->n = n; } /** * Destructor. Does nothing. */ RMQ_1_n::~RMQ_1_n() { } rmq_experiments/succinctRMQ/RMQ.hpp0000644000374200006440000000060211274546720016004 0ustar gogtcs#ifndef _RMQ_hpp_ #define _RMQ_hpp_ #include typedef int DT; // use long for 64bit-version (but take care of fast log!) typedef unsigned int DTidx; // for indexing in arrays /* Abstract class for RMQ-queries. Proprocessing is done in constructor. */ class RMQ { public: // returns index of RMQ[i,j] virtual DTidx query(DTidx, DTidx) = 0; }; #endif rmq_experiments/succinctRMQ/RMQ_succinct.cpp0000644000374200006440000002754411274546720017710 0ustar gogtcs#include "RMQ_succinct.hpp" const DTidx RMQ_succinct::Catalan[17][17] = { {1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1}, {0,1,2,3,4,5,6,7,8,9,10,11,12,13,14,15,16}, {0,0,2,5,9,14,20,27,35,44,54,65,77,90,104,119,135}, {0,0,0,5,14,28,48,75,110,154,208,273,350,440,544,663,798}, {0,0,0,0,14,42,90,165,275,429,637,910,1260,1700,2244,2907,3705}, {0,0,0,0,0,42,132,297,572,1001,1638,2548,3808,5508,7752,10659,14364}, {0,0,0,0,0,0,132,429,1001,2002,3640,6188,9996,15504,23256,33915,48279}, {0,0,0,0,0,0,0,429,1430,3432,7072,13260,23256,38760,62016,95931,144210}, {0,0,0,0,0,0,0,0,1430,4862,11934,25194,48450,87210,149226,245157,389367}, {0,0,0,0,0,0,0,0,0,4862,16796,41990,90440,177650,326876,572033,961400}, {0,0,0,0,0,0,0,0,0,0,16796,58786,149226,326876,653752,1225785,2187185}, {0,0,0,0,0,0,0,0,0,0,0,58786,208012,534888,1188640,2414425,4601610}, {0,0,0,0,0,0,0,0,0,0,0,0,208012,742900,1931540,4345965,8947575}, {0,0,0,0,0,0,0,0,0,0,0,0,0,742900,2674440,7020405,15967980}, {0,0,0,0,0,0,0,0,0,0,0,0,0,0,2674440,9694845,25662825}, {0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,9694845,35357670}, {0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,35357670} }; const DT RMQ_succinct::minus_infinity = INT_MIN; const char RMQ_succinct::LSBTable256[256] = { 0,0,1,0,2,0,1,0,3,0,1,0,2,0,1,0, 4,0,1,0,2,0,1,0,3,0,1,0,2,0,1,0, 5,0,1,0,2,0,1,0,3,0,1,0,2,0,1,0, 4,0,1,0,2,0,1,0,3,0,1,0,2,0,1,0, 6,0,1,0,2,0,1,0,3,0,1,0,2,0,1,0, 4,0,1,0,2,0,1,0,3,0,1,0,2,0,1,0, 5,0,1,0,2,0,1,0,3,0,1,0,2,0,1,0, 4,0,1,0,2,0,1,0,3,0,1,0,2,0,1,0, 7,0,1,0,2,0,1,0,3,0,1,0,2,0,1,0, 4,0,1,0,2,0,1,0,3,0,1,0,2,0,1,0, 5,0,1,0,2,0,1,0,3,0,1,0,2,0,1,0, 4,0,1,0,2,0,1,0,3,0,1,0,2,0,1,0, 6,0,1,0,2,0,1,0,3,0,1,0,2,0,1,0, 4,0,1,0,2,0,1,0,3,0,1,0,2,0,1,0, 5,0,1,0,2,0,1,0,3,0,1,0,2,0,1,0, 4,0,1,0,2,0,1,0,3,0,1,0,2,0,1,0 }; DTidx RMQ_succinct::lsb(DTsucc v) { return LSBTable256[v]; } const char RMQ_succinct::LogTable256[256] = { 0,0,1,1,2,2,2,2,3,3,3,3,3,3,3,3, 4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4, 5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5, 5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5, 6,6,6,6,6,6,6,6,6,6,6,6,6,6,6,6, 6,6,6,6,6,6,6,6,6,6,6,6,6,6,6,6, 6,6,6,6,6,6,6,6,6,6,6,6,6,6,6,6, 6,6,6,6,6,6,6,6,6,6,6,6,6,6,6,6, 7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7, 7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7, 7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7, 7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7, 7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7, 7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7, 7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7, 7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7 }; DTidx RMQ_succinct::log2fast(DTidx v) { DTidx c = 0; // c will be lg(v) register DTidx t, tt; // temporaries if (tt = v >> 16) c = (t = v >> 24) ? 24 + LogTable256[t] : 16 + LogTable256[tt & 0xFF]; else c = (t = v >> 8) ? 8 + LogTable256[t] : LogTable256[v]; return c; } const DTsucc RMQ_succinct::HighestBitsSet[8] = {~0, ~1, ~3, ~7, ~15, ~31, ~63, ~127}; DTsucc RMQ_succinct::clearbits(DTsucc n, DTidx x) { return n & HighestBitsSet[x]; } DTidx RMQ_succinct::query(DTidx i, DTidx j) { DTidx mb_i = microblock(i); // i's microblock DTidx mb_j = microblock(j); // j's microblock DTidx min, min_i, min_j; // min: to be returned DTidx s_mi = mb_i * s; // start of i's microblock DTidx i_pos = i - s_mi; // pos. of i in its microblock if (mb_i == mb_j) { // only one microblock-query min_i = clearbits(Prec[type[mb_i]][j-s_mi], i_pos); min = min_i == 0 ? j : s_mi + lsb(min_i); } else { DTidx b_i = block(i); // i's block DTidx b_j = block(j); // j's block DTidx s_mj = mb_j * s; // start of j's microblock DTidx j_pos = j - s_mj; // position of j in its microblock min_i = clearbits(Prec[type[mb_i]][s-1], i_pos); min = min_i == 0 ? s_mi + s - 1 : s_mi + lsb(min_i); // left in-microblock-query min_j = Prec[type[mb_j]][j_pos] == 0 ? j : s_mj + lsb(Prec[type[mb_j]][j_pos]); // right in-microblock-query if (a[min_j] < a[min]) min = min_j; if (mb_j > mb_i + 1) { // otherwise we're done! DTidx s_bi = b_i * sprime; // start of block i DTidx s_bj = b_j * sprime; // start of block j if (s_bi+s > i) { // do another microblock-query! mb_i++; // go one microblock to the right min_i = Prec[type[mb_i]][s-1] == 0 ? s_bi + sprime - 1 : s_mi + s + lsb(Prec[type[mb_i]][s-1]); // right in-block-query if (a[min_i] < a[min]) min = min_i; } if (j >= s_bj+s) { // and yet another microblock-query! mb_j--; // go one microblock to the left min_j = Prec[type[mb_j]][s-1] == 0 ? s_mj - 1 : s_bj + lsb(Prec[type[mb_j]][s-1]); // right in-block-query if (a[min_j] < a[min]) min = min_j; } DTidx block_difference = b_j - b_i; if (block_difference > 1) { // otherwise we're done! DTidx k, twotothek, block_tmp; // for index calculations in M and M' b_i++; // block where out-of-block-query starts if (s_bj - s_bi - sprime <= sprimeprime) { // just one out-of-block-query k = log2fast(block_difference - 2); twotothek = 1 << k; // 2^k i = m(k, b_i); j = m(k, b_j-twotothek); min_i = a[i] <= a[j] ? i : j; } else { // here we have to answer a superblock-query: DTidx sb_i = superblock(i); // i's superblock DTidx sb_j = superblock(j); // j's superblock block_tmp = block((sb_i+1)*sprimeprime); // end of left out-of-block-query k = log2fast(block_tmp - b_i); twotothek = 1 << k; // 2^k i = m(k, b_i); j = m(k, block_tmp+1-twotothek); min_i = a[i] <= a[j] ? i : j; block_tmp = block(sb_j*sprimeprime); // start of right out-of-block-query k = log2fast(b_j - block_tmp); twotothek = 1 << k; // 2^k block_tmp--; // going one block to the left doesn't harm and saves some tests i = m(k, block_tmp); j = m(k, b_j-twotothek); min_j = a[i] <= a[j] ? i : j; if (a[min_j] < a[min_i]) min_i = min_j; if (sb_j > sb_i + 1) { // finally, the superblock-query: k = log2fast(sb_j - sb_i - 2); twotothek = 1 << k; i = Mprime[k][sb_i+1]; j = Mprime[k][sb_j-twotothek]; min_j = a[i] <= a[j] ? i : j; if (a[min_j] < a[min_i]) min_i = min_j; // does NOT always return leftmost min!!! } } if (a[min_i] < a[min]) min = min_i; // does NOT always return leftmost min!!! } } } return min; } /** * Standard Constructor. a is the array to be prepared for RMQ. * n is the size of the array. */ //RMQ_succinct::RMQ_succinct(DT* a, DTidx n) { RMQ_succinct::RMQ_succinct(const int_vector<> &b, DTidx n):a(b) { // this->a = a; cerr<<"a.size()="<n = n; s = 1 << 3; // microblock-size sprime = 1 << 4; // block-size sprimeprime = 1 << 8; // superblock-size nb = block(n-1)+1; // number of blocks nsb = superblock(n-1)+1; // number of superblocks nmb = microblock(n-1)+1; // number of microblocks // The following is necessary because we've fixed s, s' and s'' according to the computer's // word size and NOT according to the input size. This may cause the (super-)block-size // to be too big, or, in other words, the array too small. If this code is compiled on // a 32-bit computer, this happens iff n < 113. For such small instances it isn't // advisable anyway to use this data structure, because simpler methods are faster and // less space consuming. if (nb n) end = n; // last block could be smaller than s! // compute block type as in Fischer/Heun CPM'06: q = s; // init q p = s-1; // init p type[i] = 0; // init type (will be increased!) rp[1] = a[z]; // init rightmost path while (++z < end) { // step through current block: p--; assert(q-p-1 >= 0); while (rp[q-p-1] > (DT)a[z]) { type[i] += Catalan[p][q]; // update type q--; } rp[q-p] = a[z]; // add last element to rightmost path } // precompute in-block-queries for this microblock (if necessary) // as in Alstrup et al. SPAA'02: if (Prec[type[i]][0] == 1) { Prec[type[i]][0] = 0; gstacksize = 0; for (DTidx j = start; j < end; j++) { while(gstacksize > 0 && (a[j] < a[gstack[gstacksize-1]])) { gstacksize--; } if(gstacksize > 0) { g = gstack[gstacksize-1]; Prec[type[i]][j-start] = Prec[type[i]][g-start] | (1 << (g % s)); } else Prec[type[i]][j-start] = 0; gstack[gstacksize++] = j; } } } delete[] rp; delete[] gstack; // space for out-of-block- and out-of-superblock-queries: M_depth = (DTidx) floor(log2(((double) sprimeprime / (double) sprime))); M = new DTsucc*[M_depth]; M[0] = new DTsucc[nb]; #ifdef MEM_COUNT mem += sizeof(DTsucc)*nb; #endif Mprime_depth = (DTidx) floor(log2(nsb)) + 1; Mprime = new DTidx*[Mprime_depth]; Mprime[0] = new DTidx[nsb]; #ifdef MEM_COUNT mem += sizeof(DTidx)*nsb; #endif // fill 0'th rows of M and Mprime: z = 0; // minimum in current block q = 0; // pos. of min in current superblock g = 0; // number of current superblock for (DTidx i = 0; i < nb; i++) { // step through blocks start = z; // init start p = start; // init minimum end = start + sprime; // end of block (not inclusive!) if (end > n) end = n; // last block could be smaller than sprime! if (a[z] < a[q]) q = z; // update minimum in superblock while (++z < end) { // step through current block: if (a[z] < a[p]) p = z; // update minimum in block if (a[z] < a[q]) q = z; // update minimum in superblock } M[0][i] = p-start; // store index of block-minimum (offset!) if (z % sprimeprime == 0 || z == n) { // reached end of superblock? Mprime[0][g++] = q; // store index of superblock-minimum q = z; } } // fill M: DTidx dist = 1; // always 2^(j-1) for (DTidx j = 1; j < M_depth; j++) { M[j] = new DTsucc[nb]; #ifdef MEM_COUNT mem += sizeof(DTsucc)*nb; #endif for (DTidx i = 0; i < nb - dist; i++) { // be careful: loop may go too far M[j][i] = a[m(j-1, i)] <= a[m(j-1,i+dist)] ? M[j-1][i] : M[j-1][i+dist] + (dist*sprime); // add 'skipped' elements in a } for (DTidx i = nb - dist; i < nb; i++) M[j][i] = M[j-1][i]; // fill overhang dist *= 2; } // fill M': dist = 1; // always 2^(j-1) for (DTidx j = 1; j < Mprime_depth; j++) { Mprime[j] = new DTidx[nsb]; #ifdef MEM_COUNT mem += sizeof(DTidx)*nsb; #endif for (DTidx i = 0; i < nsb - dist; i++) { Mprime[j][i] = a[Mprime[j-1][i]] <= a[Mprime[j-1][i+dist]] ? Mprime[j-1][i] : Mprime[j-1][i+dist]; } for (DTidx i = nsb - dist; i < nsb; i++) Mprime[j][i] = Mprime[j-1][i]; // overhang dist *= 2; } #ifdef MEM_COUNT cerr << "allocated " << mem << " bytes\n"; #endif } /** * Destructor. Deletes allocated space. */ RMQ_succinct::~RMQ_succinct() { delete[] type; for (DTidx i = 0; i < Catalan[s][s]; i++) delete[] Prec[i]; delete[] Prec; for (DTidx i = 0; i < M_depth; i++) delete[] M[i]; delete[] M; for (DTidx i = 0; i < Mprime_depth; i++) delete[] Mprime[i]; delete[] Mprime; } rmq_experiments/succinctRMQ/RMQ_1_n.hpp0000644000374200006440000000060711274546720016546 0ustar gogtcs#ifndef _RMQ_1_n_hpp_ #define _RMQ_1_n_hpp_ #include "RMQ.hpp" #include #include using namespace std; /* Implements the most naive -method to compute RMQ. */ class RMQ_1_n : public RMQ { public: // returns RMQ(i,j) virtual DTidx query(DTidx, DTidx); RMQ_1_n(DT* a, DTidx n); ~RMQ_1_n(); protected: // array DT* a; // size DTidx n; }; #endif rmq_experiments/succinctRMQ/COPYRIGHT0000640000374200006440000004311011274546720016124 0ustar gogtcs GNU GENERAL PUBLIC LICENSE Version 2, June 1991 Copyright (C) 1989, 1991 Free Software Foundation, Inc. 59 Temple Place, Suite 330, Boston, MA 02111-1307 USA Everyone is permitted to copy and distribute verbatim copies of this license document, but changing it is not allowed. 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If the program is interactive, make it output a short notice like this when it starts in an interactive mode: Gnomovision version 69, Copyright (C) year name of author Gnomovision comes with ABSOLUTELY NO WARRANTY; for details type `show w'. This is free software, and you are welcome to redistribute it under certain conditions; type `show c' for details. The hypothetical commands `show w' and `show c' should show the appropriate parts of the General Public License. Of course, the commands you use may be called something other than `show w' and `show c'; they could even be mouse-clicks or menu items--whatever suits your program. You should also get your employer (if you work as a programmer) or your school, if any, to sign a "copyright disclaimer" for the program, if necessary. Here is a sample; alter the names: Yoyodyne, Inc., hereby disclaims all copyright interest in the program `Gnomovision' (which makes passes at compilers) written by James Hacker. , 1 April 1989 Ty Coon, President of Vice This General Public License does not permit incorporating your program into proprietary programs. If your program is a subroutine library, you may consider it more useful to permit linking proprietary applications with the library. If this is what you want to do, use the GNU Library General Public License instead of this License. rmq_experiments/succinctRMQ/README0000644000374200006440000000242611274546720015522 0ustar gogtcsClass "RMQ_succinct" in files "RMQ_succinct.[c|h]pp" implements the succinct representation of RMQ information. Type "make" to get an executable "testRMQ" which, when run, creates a random array of length 5,000,000 and tests the data structure by posing 1,000 random RMQs to the array and comparing the result with the naive algorithm for RMQ ("RMQ_1_n.[c|h]pp"). Comparing with the *naive* method is also the reason why it takes so long! See how blindingly fast the test is without the naive algorithm. Implementation details: ======================= - Block size s fixed to 8 and superblock size s'' to 256. - There is an intermediate block-layer of size 16 which is actually not implemented (as a block consists of two microblocks). This saves a lot of space in practice for tables M and M'. For details, see my doctoral thesis (to appear) or ask via an e-mail. - Currently just implemented for 32-bit architectures. I've tried to make appropriate comments in the code where changes should be made for 64-bit computing. License: ======== Published under the GPL. See file COPYRIGHT which comes along with this package. Acknowledgments: ================ Thanks to Niko V"alim"aki (Uni Helsinki) for helping debug the code! Contact: ======== Johannes.Fischer@bio.ifi.lmu.de rmq_experiments/succinctRMQ/testRMQ.cpp0000644000374200006440000000726711274546720016715 0ustar gogtcs#include "RMQ_succinct.hpp" #include "sdsl/int_vector.hpp" #include "sdsl/testutils.hpp" #include "sdsl/bitmagic.hpp" #include #include #include #include using namespace std; using namespace sdsl; typedef vector tVI; main(int argc, char* argv[]) { string file_name; cin>>file_name; int_vector<> v; if(! util::loadFromFile(v, file_name.c_str()) ){ cerr<<"could not open file "< dummy; v.swap(dummy); } */ cout<getSize()) << ", "; */ DTidx i, j; srand(23); tVI::size_type q=10000000; tVI::size_type k=0; stopwatch.start(); for(tVI::size_type i=0,l,r; i=n){ cerr<<" result > n"< #include #include #include #include using namespace std; using namespace sdsl; typedef unsigned char DTsucc; typedef unsigned short DTsucc2; class RMQ_succinct : public RMQ { public: // liefert RMQ[i,j] virtual DTidx query(DTidx, DTidx); RMQ_succinct(const int_vector<> &a, DTidx n); // RMQ_succinct(DT* a, DTidx n); ~RMQ_succinct(); uint64_t mem; protected: // array // DT *a; const int_vector<> &a; // size of array a DTidx n; // table M for the out-of-block queries (contains indices of block-minima) DTsucc** M; // because M just stores offsets (rel. to start of block), this method // re-calculates the true index: inline DTidx m(DTidx k, DTidx block) { return M[k][block]+(block*sprime); } // depth of table M: DTidx M_depth; // table M' for superblock-queries (contains indices of block-minima) DTidx** Mprime; // depth of table M': DTidx Mprime_depth; // type of blocks DTsucc2 *type; // precomputed in-block queries DTsucc** Prec; // microblock size DTidx s; // block size DTidx sprime; // superblock size DTidx sprimeprime; // number of blocks (always n/sprime) DTidx nb; // number of superblocks (always n/sprimeprime) DTidx nsb; // number of microblocks (always n/s) DTidx nmb; // return microblock-number of entry i: inline DTidx microblock(DTidx i) { return i/s; } // return block-number of entry i: inline DTidx block(DTidx i) { return i/sprime; } // return superblock-number of entry i: inline DTidx superblock(DTidx i) { return i/sprimeprime; } // precomputed Catalan triangle (17 is enough for 64bit computing): static const DTidx Catalan[17][17]; // minus infinity (change for 64bit version) static const DT minus_infinity; // stuff for clearing the least significant x bits (change for 64-bit computing) static const DTsucc HighestBitsSet[8]; virtual DTsucc clearbits(DTsucc, DTidx); // Least Significant Bits for 8-bit-numbers: static const char LSBTable256[256]; // return least signigicant bit in constant time (change for 64bit version) virtual DTidx lsb(DTsucc); // the following stuff is for fast base 2 logarithms: // (currently only implemented for 32 bit numbers) static const char LogTable256[256]; virtual DTidx log2fast(DTidx); }; #endif rmq_experiments/maxmeminfo.py0000744000374200006440000002107211274546720015160 0ustar gogtcs#!/usr/bin/env python # # This program is based on the following program: # # Objective of this small program is to report memory usage using # useful memory metrics for Linux. # # It will group processes according to their URES (unique resident set size) # and also do reports based on per-username, per-program name and per-cpu # statistics. # # Copyright 2006 Aleksandr Koltsoff (czr@iki.fi) # Released under GPL Version 2 (please see included file COPYING for # details). # # Please see the included CHANGELOG for change-related information # # VERSION: 1.0.2 (bugfix against 1.0.1) # set this to 1 for debugging # modified by Simon Gog DEBUG=0 import os import sys import string import pwd import grp import time # utility class to act as a cache for UID lookups # since UID lookups will cause possible NSS activity # over the network, it's better to cache all lookups. class usernameCache: def __init__(self): self.uidMap = {} self.gidMap = {} def getUID(self, uid): if self.uidMap.has_key(uid): return self.uidMap[uid] nameData = None try: nameData = pwd.getpwuid(uid) except: pass if nameData != None: name = nameData.pw_name else: # default the name to numeric representation in case it's not found name = "%s" % uid self.uidMap[uid] = name return name # use a global variable to hold the cache so that we don't # need a separate context-object/dict nameCache = usernameCache() # we need to get the pagesize at this point PAGE_SIZE = os.sysconf("SC_PAGESIZE") # utility class to aid in formatting # will calculate the necessary amount of left-justification for each # column based on the width of entries # last entry will be unjustified class JustifiedTable: def __init__(self): # this will keep the row data in string format self.rows = [] # this will keep the maximum width of each column so far self.columnWidths = [] def addRow(self, row): # start by converting all entries into strings # (we keep data in string format internally) row = map(str, row) # check if we have enough columnWidths for this row if len(self.columnWidths) < len(row): self.columnWidths += [0] * (len(row) - len(self.columnWidths)) # update columnWidths if necessary for idx in range(len(row)): if self.columnWidths[idx] < len(row[idx]): self.columnWidths[idx] = len(row[idx]) # add the row into data self.rows.append(row) def outputRow(self, idx): row = self.rows[idx] for idx in range(len(row)-1): if row[idx] != "None": print "%*s" % (self.columnWidths[idx], row[idx]), print row[-1] # we need to add optional header output every X lines # it is done with an empty line and repeating first row def output(self, maxLines=None): # always start with the header self.outputRow(0) for idx in range(1, len(self.rows)): self.outputRow(idx) if maxLines != None: if idx % maxLines == 0: print self.outputRow(0) # utility to read and parse a comma delimited file (meminfo) def parseSplitFile(filename): f = open(filename, "rb") lines = f.readlines() del f lines = map(lambda x: x.strip().split(), lines) return lines # utility to parse a file which contains one line with delim entries def parseDelimFile(filename): f = open(filename, "rb") line = f.readline() del f return line.split() # utility to parse a file which contains one line with delim numbers def parseNumberFile(filename): f = open(filename, "rb") line = f.readline() del f return map(int, line.split()) # routine to get mem info as a hash # specifically: # input is a sequence of "Label:", "Value", "kB" # output is a hash of "Label" -> int(Value) # we also add these fields: # "UserspaceFree": how much memory is available for userspace (discounted buffers+caches) # "SwapUsed": how much of swap is currently in use def getMemInfo(): ret = {} lines = parseSplitFile("/proc/meminfo") for line in lines: label = line[0] # we skip over line that starts with 'total:' (2.4 kernel has # it at the start and we can't parse that) if line[0] == 'total:': continue # we only accept lines that have colons after labels if label.endswith(":"): ret[label[:-1]] = int(line[1]) # after we've done with conversion, we add couple of our own fields ret["UserspaceFree"] = ret["MemFree"] + ret["Buffers"] + ret["Cached"] ret["SwapUsed"] = ret["SwapTotal"] - ret["SwapFree"] return ret # a map from /proc/PID/status memory-related fields into column headers # other fields that start with Vm will user lower-case columns vmStatusMap = { 'Peak' : 'VIRT-P', 'Lck' : 'LCKD', 'HWM' : 'HWRES', 'Data' : 'DATA', 'Stk' : 'STACK', 'Exe' : 'EXE', 'Lib' : 'LIB', 'PTE' : 'PTE' } # return a hash of 'COLUMN-NAME': value -entries for # process specific memory info def getProcessMemFromStatus(pid): ret = {} lines = parseSplitFile("/proc/%d/status" % pid) for line in lines: if line[0][:2] == 'Vm': vmLabel = line[0][2:-1] if vmLabel in vmStatusMap: v = int(line[1]) if v > 4*1024*1024: v = -1 ret[vmStatusMap[vmLabel]] = v if len(ret) == 0: return None return ret # utility to return info for given pid (int) # will return None if process doesn't exist anymore # otherwise a hash: # "pid" -> int(pid) # "uid" -> int(uid) # "gid" -> int(gid) # "vmsize" -> int(vmsize in kilobytes) # "res" -> int(res in kilobytes) # "shared" -> int(shared in kilobytes) # "ures" -> int(unique res in kilobytes) # "cmd" -> string(command) # "minflt" -> int(number of minor faults) # "majflt" -> int(number of major faults) # "state" -> string(state-char) # "threads" -> int(number of threads, including main thread) # "utime" -> int(ticks (0.01 secs) spent in user) # "stime" -> int(ticks spent in kernel) # "cpu" -> int(last cpu which executed code for this process) # "statusMem" -> hash of additional fields def getProcessInfo(pid, kernelBootTicks=0): global PAGE_SIZE pageConv = PAGE_SIZE / 1024 ret = None try: pinfo = {} # get process owner and group owner using stat stats = os.stat("/proc/%d" % pid) pinfo["uid"] = stats.st_uid pinfo["gid"] = stats.st_gid pmem = parseNumberFile("/proc/%d/statm" % pid) # size: total (VMSIZE) # resident: rss (total RES) # share: shared pages (SHARED) # we don't need the other entries del pmem[3:] pmem = map(lambda x: x*pageConv, pmem) # we ignore processes which seem to have zero vmsize (kernel threads) if pmem[0] == 0: return None pinfo["vmsize"] = pmem[0] pinfo["res"] = pmem[1] pinfo["shared"] = pmem[2] pinfo["ures"] = pmem[1] - pmem[2] # get status (this changes between kernel releases) psmem = getProcessMemFromStatus(pid) pinfo["statusMem"] = psmem pstat = parseDelimFile("/proc/%d/stat" % pid) # 1: filename of the executable in parentheses # 2: state # 9: minflt %lu: minor faults (completed without disk access) # 11: majflt %lu: major faults pinfo["cmd"] = pstat[1][1:-1] pinfo["state"] = pstat[2] pinfo["minflt"] = int(pstat[9]) pinfo["majflt"] = int(pstat[11]) pinfo["utime"] = int(pstat[13]) pinfo["stime"] = int(pstat[14]) pinfo["cpu"] = int(pstat[38]) pinfo["existsFor"] = kernelBootTicks - int(pstat[21]) # 13 = usertime (jiff) # 14 = kernel time (jiff) # 21 = start time (jiff) # 38 = last CPU # hah. these aren't actually in jiffies, but in USER_HZ # which has been defined as 100 always pinfo["pid"] = pid pinfo["ppid"] = int(pstat[3]) # attempt to count the number of threads # note than on older linuxen there is no /proc/X/task/ threadCount = 0 try: if os.access("/proc/%d/task/" % pid, os.X_OK): threadCount = len(os.listdir("/proc/%d/task" % pid)) except: pass pinfo["threads"] = threadCount ret = pinfo except: pass return ret maxmem = 0 def doIt(pid): global maxmem # data = sys.stdin.readline()[:-1] # print sys.argv[1] info = getProcessInfo(pid) if not info : print maxmem return 0 m = int(info["ures"]) if m > maxmem : maxmem = m return 1 if __name__ == '__main__': # 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0ustar gogtcs#include "sdsl/range_minimum_support.hpp" #include "sdsl/testutils.hpp" #include "sdsl/util.hpp" #include "sdsl/balanced_parentheses_support_sada.hpp" #include #include #include #include #include using namespace sdsl; using namespace std; //typedef vector tVI; typedef int_vector<> tVI; int main(){ string file_name; cin>>file_name; int_vector<> v; if( !util::loadFromFile(v, file_name.c_str()) ){ cerr<<"# could not load file "< rmq_sct(&v); stopwatch.stop(); std::cerr<< endl << stopwatch.getUserTime() << " ms for creation of rmq_sct"<< std::endl; std::cerr<< "constructed rmq_succint_sct"<=n){ cerr<<" result > n"< #include #include #include // for strlen #include #include namespace sdsl{ //! A class for the Compressed Suffix Tree (CST) proposed by Sadakane. /*! The CSA is parameterized by * - a (compressed) suffix array data structure (accessible via member \f$csa\f$, default class is sdsl::csa_sada_prac), * - a (compressed) longest common prefix data structure (accessible via member \f$lcp\f$, default class is sdsl::lcp_sada), * - a support data structure for balanced parentheses sequences (accessible via member \f$bp\_support\f$, default class is sdsl::balanced_parentheses_support_simple), * - a rank data structure for the 2-bit pattern "10" (accessible via memeber \f$bp\_rank\_10\f$, default class is sdsl::rank_support_v), and * - a select data structure for the 2-bit pattern "10" (accessible via member \f$bp\_select\_10\f$, default class is sdsl::select_support_mcl). * * It also contains a sdsl::bit_vector which represents the balanced parentheses sequence of the * suffix tree. This bit_vector can be accessed via the member \f$bp\f$. * * A node \f$v\f$ of the csa_sada is represented by an integer \f$i\f$ which gives * the opening parenthesis of the parenthesis pair \f$(i,\mu(i))\f$ that corresponds * to \f$v\f$ in \f$bp\f$. * * * * @ingroup cst */ template, class Lcp = lcp_sada, class Bp_support = balanced_parentheses_support_simple<>, class Rank_support10 = rank_support_v<10,2>, class Select_support10 = select_support_mcl<10,2> > class cst_sada_old{ public: typedef typename Csa::value_type value_type; // STL Container requirement typedef cst_dfs_const_forward_iterator const_iterator;// STL Container requirement typedef const_iterator iterator; // STL Container requirement typedef const value_type const_reference; typedef const_reference reference; typedef const_reference* pointer; typedef const pointer const_pointer; typedef typename Csa::size_type size_type; // STL Container requirement typedef ptrdiff_t difference_type; // STL Container requirement typedef Csa csa_type; typedef Lcp lcp_type; typedef const unsigned char* pattern_type; typedef size_type node_type; //!< Type for the nodes in the tree. typedef RMQ_succinct_engineered rmq_type; // RMQ_sadakane * rmq_sada; rmq_type *rmq_engineered; private: Csa m_csa; // suffix array Lcp m_lcp; // lcp information bit_vector m_bp; // balanced parentheses sequence for suffix tree Bp_support m_bp_support; // support for the balanced parentheses sequence Rank_support10 m_bp_rank10; Select_support10 m_bp_select10; void construct_suffix_tree_bp(const Csa &csa, const Lcp &lcp){ m_bp.resize( 4*csa.size() ); // resize bit vector for balanced parantheses to 2 n bits std::stack lcp_stack; lcp_stack.push(0); m_bp[0] = 1; // write an opening parenthesis m_bp[1] = 1; // write leftmost leaf m_bp[2] = 0; // " " " size_type k=1; for(size_type i=1, l; i < csa.size(); ++i){ l = lcp[i]; while( lcp_stack.size() > 0 and l < lcp_stack.top() ){ lcp_stack.pop(); m_bp[k++] = 0; // write a closing parenthesis } lcp_stack.push(l); m_bp[k++] = 1; // write an opening parenthesis m_bp[k++] = 1; // write i-th leaf m_bp[k++] = 0; // " " " } while( lcp_stack.size() > 0 ){ lcp_stack.pop(); m_bp[k++] = 0; // writing a closing parenthesis } assert( k == 4*m_csa.size() ); } /* Get the number of leafs that are in the subtree rooted at the first child of v + * number of leafs in the subtrees rooted at the children of parent(v) which precede v in the tree. */ size_type inorder(node_type v)const{ return m_bp_rank10(m_bp_support.find_close(v+1)+1); } bool generate_bp(const cst_sct &temp_cst, const unsigned char *str){ typedef typename cst_sct::node_type cst_sct_node_type; m_bp.resize( 4*temp_cst.csa.size() ); if( temp_cst.csa.size() == 0 ) return false; size_type cnt = 0; std::stack right_most_path; std::stack used; cst_sct_node_type w = temp_cst.root(); used.push(false); right_most_path.push( w ); while( !right_most_path.empty() ){ if( used.top() ){ m_bp[cnt++] = 0; cst_sct_node_type v = right_most_path.top(); used.pop(); right_most_path.pop(); cst_sct_node_type sibling = temp_cst.sibling( v ); if( sibling != w ){ right_most_path.push( sibling ); used.push(false); } }else{ m_bp[cnt++] = 1; used.top() = true; cst_sct_node_type child = temp_cst.ith_child( right_most_path.top(), 1 ); if( child != w ){ used.push(false); right_most_path.push( child ); } } } m_bp.resize(cnt); m_csa = Csa(temp_cst.csa, str); lcp_trait::copy_lcp(m_lcp, temp_cst.lcp, m_csa); return true; } public: const Csa &csa; //!< The compressed suffix array the suffix tree is based on. const Lcp &lcp; //!< The lcp array the suffix tree is based on. const bit_vector &bp; //!< The balanced parentheses sequence of the suffix tree. const Bp_support &bp_support; //!< The balanced parentheses sequence support for member bp. const Rank_support10 &bp_rank_10; //!< The rank support for the bit pattern "01" for member bp. const Select_support10 &bp_select_10; //!< The select support for the bit pattern "01" for member bp. //! Default Constructor cst_sada_old(): csa(m_csa), lcp(m_lcp), bp(m_bp), bp_support(m_bp_support), bp_rank_10(m_bp_rank10), bp_select_10(m_bp_select10){ rmq_engineered = NULL; } //! Default Destructor ~cst_sada_old(){ if(rmq_engineered!=NULL) delete rmq_engineered; } // ! Copy constructor /* cst_sada_old(const cst_sada_old &cst):csa(m_csa), lcp(m_lcp), bp(m_bp), bp_support(m_bp_support), bp_rank_10(m_bp_rank10), bp_select_10(m_bp_select10) { m_csa = cst.m_csa; m_lcp = cst.m_lcp; m_bp = cst.m_bp; m_bp_support = cst.m_bp_support; m_bp_support.set_vector(&m_bp); m_bp_rank10 = cst.m_bp_rank10; m_bp_rank10.set_vector(&m_bp); m_bp_select10 = cst.m_bp_select10; m_bp_select10.set_vector(&m_bp); } */ //! Constructor /*! \param str The string for which the CST should be created. */ cst_sada_old(const unsigned char *str):csa(m_csa), lcp(m_lcp), bp(m_bp), bp_support(m_bp_support), bp_rank_10(m_bp_rank10), bp_select_10(m_bp_select10){ cst_sct temp_cst(str); if( !generate_bp(temp_cst, str) ) return; m_bp_support = Bp_support(&m_bp); m_bp_rank10.init(&m_bp); m_bp_select10.init(&m_bp); std::cerr<<"create rmq "< temp_cst(f_csa, str); if( !generate_bp(temp_cst, str) ){ throw std::logic_error( util::demangle(typeid(this).name())+": creation of balanced parentheses sequence failed!" ); return; } m_bp_support = Bp_support(&m_bp); m_bp_rank10.init(&m_bp); m_bp_select10.init(&m_bp); } */ //! Constructor /*! \param cst The compressed suffix tree of type cst_sct. * \param str The string for which the CST should be created. * cst_sada_old(const cst_sct &cst, const unsigned char *str):csa(m_csa), lcp(m_lcp), bp(m_bp), bp_support(m_bp_support), bp_rank_10(m_bp_rank10), bp_select_10(m_bp_select10){ if( !generate_bp(cst, str) ){ throw std::logic_error( util::demangle(typeid(this).name())+": creation of balanced parentheses sequence failed!" ); return; } m_bp_support = Bp_support(&m_bp); m_bp_rank10.init(&m_bp); m_bp_select10.init(&m_bp); } */ //! Number of leaves in the suffix tree. /*! Required for the Container Concept of the STL. * \sa max_size, empty */ size_type size()const{ return m_csa.size();} //! Returns the maximal lenght of text for that a suffix tree can be build. /*! Required for the Container Concept of the STL. * \sa size */ static size_type max_size(){ return Csa::max_size(); } //! Returns if the data strucutre is empty. /*! Required for the Container Concept of the STL. * \sa size */ bool empty()const{ return m_csa.empty();} //! Swap method for cst_sada_old /*! The swap method can be defined in terms of assignment. This requires three assignments, each of which, for a container type, is linear in the container's size. In a sense, then, a.swap(b) is redundant. This implementation guaranties a run-time complexity that is constant rather than linear. \param cst cst_sada_old to swap. Required for the Assignable Conecpt of the STL. */ void swap(cst_sada_old &cst); //! Returns a const_iterator to the first element. /*! Required for the STL Container Concept. * \sa end */ const_iterator begin()const{ if(m_csa.size()==0) // special case: tree is unitialized return end(); else if( m_csa.size() == 1){ // special case: the root is a leaf return const_iterator(this, root(), true, true); } return const_iterator(this, root(), false, true); } //! Returns a const_iterator to the element after the last element. /*! Required for the STL Container Concept. * \sa begin. */ const_iterator end()const{ return const_iterator(this, root(), true, false); } //! Assignment Operator. /*! * Required for the Assignable Concept of the STL. */ cst_sada_old& operator=(const cst_sada_old &cst){ if(this != &cst){ m_csa = cst.m_csa; lcp_trait::copy_lcp(m_lcp, cst.m_lcp, m_csa); m_bp = cst.m_bp; m_bp_support = cst.m_bp_support; m_bp_support.set_vector(&m_bp); m_bp_rank10 = cst.m_bp_rank10; m_bp_rank10.set_vector(&m_bp); m_bp_select10 = cst.m_bp_select10; m_bp_select10.set_vector(&m_bp); if(rmq_engineered!=NULL) delete rmq_engineered; std::cerr<<"create rmq "<::load_lcp(m_lcp, in, m_csa); m_bp.load(in); m_bp_support.load(in, &m_bp); m_bp_rank10.load(in, &m_bp); m_bp_select10.load(in, &m_bp); if(rmq_engineered!=NULL) delete rmq_engineered; std::cerr<<"create rmq "< 0 and i <= m_csa.size() ); // -1 as select(i) returns the postion of the 0 of pattern 10 return m_bp_select10.select(i)-1; } //! Returns the depth of node v. /*! * \param v A valid node of the suffix tree. * \return The depth of the node. * \par Time complexity * \f$ \Order{\lcpaccess \vee \saaccess} \f$ */ size_type depth(node_type v)const{ if( v == root() ) // if v is the root return 0; if( is_leaf(v) ){ // if v is a leave size_type i = m_bp_rank10(v); // get the index in the suffix array return m_csa.size() - m_csa[i]; } assert(inorder(v)>0); return m_lcp[inorder(v)]; // da ist es gut wenn lcp[0]=0. inorder-0 darf aber nicht auftretten, weil die wurzel bei leerem Baum entweder ein Blatt ist oder immer mindestens zwei Kinder hat... } //! Calculate the number of leaves in the subtree rooted at node v. /*! \param v A valid node of the suffix tree. * \return The number of leaves in the subtree rooted at node v. * \par Time complexity * \f$ \Order{1} \f$ * * This method is used e.g. in the algorithm::count method. */ size_type leaves_in_the_subtree(node_type v)const{ size_type r = m_bp_support.find_close(v); return m_bp_rank10(r+1) - m_bp_rank10(v); } //! Calculates the leftmost leaf in the subtree rooted at node v. /*! \param v A valid node of the suffix tree. * \return The leftmost leaf in the subtree rooted at node v. * \par Time complexity * \f$ \Order{1} \f$ */ node_type leftmost_leaf_in_the_subtree(const node_type &v)const{ return m_bp_select10(m_bp_rank10(v)+1); } //! Calculates the rightmost leaf in the subtree rooted at node v. /*! \param v A valid node of the suffix tree. * \return The rightmost leaf in the subtree rooted at node v. * \par Time complexity * \f$ \Order{1} \f$ */ node_type rightmost_leaf_in_the_subtree(const node_type &v)const{ size_type r = m_bp_support.find_close(v); return m_bp_select10(m_bp_rank10(r+1)); } //! Calculates the index of the leftmost leaf in the corresponding suffix array. /*! \param v A valid node of the suffix tree. * \return The index of the leftmost leaf in the corresponding suffix array. * \par Time complexity * \f$ \Order{1} \f$ */ size_type leftmost_suffix_array_index_in_the_subtree(const node_type &v)const{ return m_bp_rank10(v); } //! Calculates the index of the rightmost leaf in the corresponding suffix array. /*! \param v A valid node of the suffix tree. * \return The index of the rightmost leaf in the corresponding suffix array. * \par Time complexity * \f$ \Order{1} \f$ */ size_type rightmost_suffix_array_index_in_the_subtree(const node_type &v)const{ size_type r = m_bp_support.find_close(v); return m_bp_rank10(r+1)-1; } //! Calculate the parent node of a node v. /*! \param v A valid node of the suffix tree. * \return The parent node of v or root() if v equals root(). * \par Time complexity * \f$ \Order{1} \f$ */ node_type parent(node_type v) const{ assert(m_bp[v]==1); // assert a valid node if( v == root() ) return root(); else{ return m_bp_support.enclose(v); } } //! Returns the next sibling of node v. /*! * \param v A valid node v of the suffix tree. * \return The next (right) sibling of node v or root() if v has no next (right) sibling. * \par Time complexity * \f$ \Order{1} \f$ */ node_type sibling(node_type v)const{ if( v==root() ) return root(); node_type sib = m_bp_support.find_close(v)+1; if( m_bp[sib] ) return sib; else return root(); } //! Get the child w of node v which edge label (v,w) starts with character c. /* * \param v A valid tree node of the cst. * \param c First character of the edge label from v to the desired child. * \param char_pos Reference which will hold the position (0-based) of the matching char c in the original text. * \return The child node w which edge label (v,w) starts with c or root() if it does not exist. * \par Time complexity * \f$ \Order( (\saaccess+\isaaccess) \cdot \sigma) \f$ */ node_type child(node_type v, const unsigned char c, size_type &char_pos)const{ if( is_leaf(v) ) // if v is a leaf = (), v has no child return root(); // else v = ( ( )) uint16_t cc = m_csa.char2comp[c]; if(cc==0 and c!=0)// TODO: aendere char2comp so ab, dass man diesen sonderfall nicht braucht return root(); size_type char_ex_max_pos = m_csa.C[cc+1], char_inc_min_pos = m_csa.C[cc]; // std::cerr<<"char_ex_max_pos = "< depth(v)!"); } size_type i = 0;// index of the first suffix in the subtree of v if( is_leaf(v) ){ // if v is a leave i = m_bp_rank10(v); // get the index in the suffix array } else{ i = inorder(v); } size_type order = m_csa(m_csa[i]+d-1); uint16_t c_begin = 1, c_end = m_csa.sigma+1, mid; while( c_begin < c_end ){ mid = (c_begin+c_end)>>1; if( m_csa.C[mid] <= order ){ c_begin = mid+1; }else{ c_end = mid; } } return m_csa.comp2char[c_begin-1]; } //! Calculate the lowest common ancestor (lca) of two nodes v and w of the suffix tree. /*! * \param v The first node for which the lca with the second node should be computed. * \param w The second node for which the lca with the first node should be computed. * \return A node that is the lowest common ancestor of v and w in the suffix tree. * \par Time complexity * \f$ \Order{\rrenclose}\ \f$ */ node_type lca(node_type v, node_type w)const{ assert( m_bp[v] == 1 and m_bp[w] == 1 ); if(v > w){ std::swap(v,w); }else if(v==w){ return v; } if( v == root() ) return root(); // return m_bp_support.double_enclose(v, w); // cerr<<" rmq_sada = "<query(v,w)<query(v,w)+1)); return parent(rmq_engineered->query(v,w)+1); } //! Calculate the lowest common ancestor (lca) of two nodes v and w of the suffix tree. /*! * \param v The first node for which the lca with the second node should be computed. * \param w The second node for which the lca with the first node should be computed. * \return A node that is the lowest common ancestor of v and w in the suffix tree. * \par Time complexity * \f$ \Order{\rrenclose}\ \f$ */ node_type lca2(node_type v, node_type w)const{ assert( m_bp[v] == 1 and m_bp[w] == 1 ); if(v > w){ std::swap(v,w); }else if(v==w){ return v; } if( v == root() ) return root(); return m_bp_support.double_enclose(v, w); } //! Compute the suffix link of node v. /*! * \param v A valid node of a cst_sct. * \return The suffix link of node v. * \par Time complexity * \f$ \Order{ 1 } \f$ */ node_type sl(node_type v)const{ if( v == root() ) return root(); // get leftmost leaf in the tree rooted at v size_type left = m_bp_rank10(v); if( is_leaf(v) ){ return ith_leaf(m_csa.psi[left]+1); } // get the rightmost leaf in the tree rooted at v size_type right = m_bp_rank10(m_bp_support.find_close(v))-1; assert(left < right); node_type left_leaf = ith_leaf(m_csa.psi[left]+1); node_type right_leaf= ith_leaf(m_csa.psi[right]+1); return lca(left_leaf, right_leaf); } //! Compute the suffix link of node v. /*! * \param v A valid node of a cst_sct. * \return The suffix link of node v. * \par Time complexity * \f$ \Order{ 1 } \f$ */ node_type sl2(node_type v)const{ if( v == root() ) return root(); // get leftmost leaf in the tree rooted at v size_type left = m_bp_rank10(v); if( is_leaf(v) ){ return ith_leaf(m_csa.psi[left]+1); } // get the rightmost leaf in the tree rooted at v size_type right = m_bp_rank10(m_bp_support.find_close(v))-1; assert(left < right); node_type left_leaf = ith_leaf(m_csa.psi[left]+1); node_type right_leaf= ith_leaf(m_csa.psi[right]+1); return lca2(left_leaf, right_leaf); } //! Compute the suffix number of a leaf node v. /*! \param v A valid leaf node of a cst_sct. * \return The suffix array value corresponding to the leaf node v. * \par Time complexity * \f$ \Order{ \saaccess } \f$ */ size_type sn(node_type v)const{ assert( is_leaf(v) ); // count the leaves left to leaf v return m_csa[m_bp_rank10(v)]; } //! Get the number of children of a node v. /*! * \param v A valid node v of a cst_sct. * \returns The number of children of node v. * \par Time complexity * \f$ \Order{\sigma} \f$ */ size_type children(node_type v)const{ size_type res = 0; v = v+1; while(m_bp[v]){ // found open parentheses ++res; v = m_bp_support.find_close(v)+1; } return res; } //! 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Existing...ready, # k=OUT_OF_RANGE: balanced_parentheses_support_simple::find_closeOUT_OF_RANGE_ERROR: enc_vector_prac::operator[](size_type); i >= size()!enc_vector_prac cannot decode adjacent equal values!elias_delta::encode(uint64_t x, uint64_t* &z, uint8_t &offset); x equals 0 that cannot be encoded!: text size differ with sa size!csa_sada_prac: text size differ with sa size!OUT_OF_RANGE: balanced_parentheses_support_simple::find_openOUT_OF_RANGE: balanced_parentheses_support_simple::enclose.: text is needed to construct the csa_wt!: text size differ with sa size! : block_size should be greater than 2!: recursion in the construction does not terminate!building compressed suffix tree @D@ @@@P@VA@`@DpA0A  $,47=+3<*;:????????~~~~~~~~}}}}}}}}||||||||{{{{{{{{zzzzzzzzyyyyyyyyxxxxxxxxwwwwwwwwvvvvvvvvuuuuuuuuttttttttssssssssrrrrrrrrqqqqqqqqppppppppoooooooonnnnnnnnmmmmmmmmllllllllkkkkkkkkjjjjjjjjiiiiiiiihhhhhhhhggggggggffffffffeeeeeeeeddddddddccccccccbbbbbbbbaaaaaaaa````````________^^^^^^^^]]]]]]]]\\\\\\\\[[[[[[[[ZZZZZZZZYYYYYYYYXXXXXXXXWWWWWWWWVVVVVVVVUUUUUUUUTTTTTTTTSSSSSSSSRRRRRRRRQQQQQQQQPPPPPPPPOOOOOOOONNNNNNNNMMMMMMMMLLLLLLLLKKKKKKKKJJJJJJJJIIIIIIIIHHHHHHHHGGGGGGGGFFFFFFFFEEEEEEEEDDDDDDDDCCCCCCCCBBBBBBBBAAAAAAAA@@@@@@@@ Q "7Yyb= Um*/Eo %1Bs( ݊=!5W̌yp)pT~m 8 ݥ)?C_sm$@ !/a93hٽ e i H b˕4U|o9lh -Gٻd a z)XDC+(M@$BBk4)Ή).`P^W1nڇ +ܢ{nbS0T?# 6¡hf}؂j3!c1Sb曆GעJB~1i`c4|6:'T )"E5uo BLDwxx 'EW2ϫ@aݣh'"BO  !!!!!!!!""""""""########$$$$$$$$%%%%%%%%&&&&&&&&''''''''(((((((())))))))********++++++++,,,,,,,,--------........////////00000000111111112222222233333333444444445555555566666666777777778888888899999999::::::::;;;;;;;;<<<<<<<<========>>>>>>>>????????@@@@@@@@elias_delta_coder.cppbuffered >= rbp       @    !   ! 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"}T   +`*}-$  a69    Q4a*J'       f&51       f5NKNNMMMMMMMKJKfJJKJK J9JMYJ J"J$hN%JCKCNCCJG*JGKGNGHJJJJKAJNJIgI[^9@O 2)!o A&= A  ***$ Qi6?>>==X<<>= =>=>>>>=#>+=+=+=,<4=5>6>8=8 ==<>>===T<?>< =>>==>=>%=%=%=%</=4>4 =5=<%>%>%>%>%)~3@DPD`DDpDD  9 8,@ D@@@@ _ip#@ @ oh @oop@bi]if,@v,@,@,@,@,@,@,@,@,@-@-@&-@6-@F-@V-@f-@v-@-@-@-@-@-@-@-@-@.@.@&.@6.@F.@V.@f.@v.@.@.@.@.@.@.@.@.@/@/@&/@6/@F/@V/@f/@v/@/@/@/@/@/@/@/@/@0@0@&0@60@F0@V0@f0@v0@0@0@0@0@0@0@0@0@1@1@&1@61@F1@V1@f1@v1@1@1@1@1@1@1@1@1@]iP1@GCC: (GNU) 4.1.2 20061115 (prerelease) (SUSE Linux)GCC: (GNU) 4.1.2 20061115 (prerelease) (SUSE Linux)GCC: (GNU) 4.1.2 20061115 (prerelease) (SUSE Linux)GCC: (GNU) 4.1.2 20061115 (prerelease) (SUSE Linux)GCC: (GNU) 4.1.2 20061115 (prerelease) (SUSE Linux)GCC: (GNU) 4.1.2 20061115 (prerelease) (SUSE Linux)GCC: (GNU) 4.1.2 20061115 (prerelease) (SUSE Linux)GCC: (GNU) 4.1.2 20061115 (prerelease) (SUSE Linux)GCC: (GNU) 4.1.2 20061115 (prerelease) (SUSE Linux)GCC: (GNU) 4.1.2 20061115 (prerelease) (SUSE Linux)GCC: (GNU) 4.1.2 20061115 (prerelease) (SUSE Linux)GCC: (GNU) 4.1.2 20061115 (prerelease) (SUSE Linux)GCC: (GNU) 4.1.2 20061115 (prerelease) (SUSE Linux)L,2@8,@ D,D\,RD ,} D,@D,HOD<OK,@D!s_IO_stdin_usedQPsdsl::bit_magic::DeBruijn64ToIndexPsdsl::bit_magic::FibPsdsl::bit_magic::L1BPPsdsl::bit_magic::Li1MaskPsdsl::bit_magic::Li0MaskPsdsl::bit_magic::lookupr1BPPsdsl::bit_magic::Select256Qsdsl::bit_magic::PsOverflowQsdsl::bit_magic::powerOf3'Qsdsl::bit_magic::max_excess_8bit9Qsdsl::bit_magic::_8_x_the_byteKQsdsl::bit_magic::first_pos_of_excess_val]Qsdsl::bit_magic::last_pos_of_excess_valoQsdsl::bit_magic::very_near_find_openQsdsl::bit_magic::very_near_encloseRJBdemangle}qXKsdsl::coder::elias_delta::decode_prefix_sum`Nsdsl::coder::elias_delta::decode_prefix_sumKXsdsl::coder::elias_delta::EliasDeltaPrefixSum]Xsdsl::coder::elias_delta::EliasDeltaPrefixSum8bitZY+Ksdsl::stop_watch::getUserTime[Ksdsl::stop_watch::getSysTimeKsdsl::stop_watch::getRealTime>Lsdsl::stop_watch::stoplLsdsl::stop_watch::startLsdsl::clock::getTimeStringOsdsl::file::readText,2@,2@/a4@N 4B6int 4I  DWB'/usr/src/packages/BUILD/glibc-2.5/cc-nptl/csu/crti.S/usr/src/packages/BUILD/glibc-2.5/csuGNU AS 2.17.50.0.5QT DD iB6int*)M \*1_@*2qNC)*4 4*84 !M֕std 6 7 X Z ] _/ bG d e g h i j+ kC lZ mr n o s t v w> xf z~ { | }     6 J c       2 O v : ; < C$ D/ E: G H I4 JQ Kn L M N O H   * H w      - ; c       , J g      . 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0ustar gogtcsFLAG=-O3 -fomit-frame-pointer -ffast-math -funroll-loops -DNDEBUG SDSLDIR=`less ../SDSLDIR` all: testCST testCST: testCST.cpp cst_sada_old.hpp RMQ_succinct_engineered.hpp g++ $(FLAG) -I${SDSLDIR}/src/ testCST.cpp -o testCST ${SDSLDIR}/src/sdsl/.libs/libsdsl.a ../sadaRMQ/sadakaneRMQ.o .PHONY: clean clean: rm -r testCST rmq_experiments/sadaCST/testCST.cpp0000644000374200006440000001014411274546720015762 0ustar gogtcs#include "cst_sada_old.hpp" #include #include #include #include #include using namespace std; typedef csa_wt::wavelet_tree_type, 24, 100> tCSA; typedef cst_sada_old tCST; int main(){ typedef cst_sada_old<>::size_type size_type; typedef cst_sada_old<>::node_type node_type; const char *test = "abaaba"; cst_sada_old<> cst_test((const unsigned char*)test); // DT *a = new DT[cst_test.bp.size()]; // if( cst_test.bp.size() > 0 ) a[0] = 1; /// for(size_type i=1; i>file_name; tCST cst; if( !util::loadFromFile( cst, (file_name+".wt.old_sada_cst").c_str()) ) { char *c_str = NULL; if( file::readText((const char*)file_name.c_str(), c_str) == 0 ){ cerr<<"Could not load file \""< 0 ) a[0] = 1; // for(size_type i=1; i queries(1000000*2); for(size_type i=0; igetSize())*8)/cst.csa.size() ) <<", "; // size in bits per character // cout<< util::get_size_in_bytes(cst)+cst.rmq_sada->getSize() <<", "; cout<< ( ((double)(util::get_size_in_bytes(cst)+cst.rmq_engineered->getSize())*8)/cst.csa.size() ) <<", "; // size in bits per character cout<< util::get_size_in_bytes(cst)+cst.rmq_engineered->getSize() <<", "; cout<< util::get_size_in_bytes(cst.csa) << ", "; cout<< util::get_size_in_bytes(cst.lcp) << ", "; cout<< util::get_size_in_bytes(cst.bp) << ", "; cout<< util::get_size_in_bytes(cst.bp_support) <<", "; cout<< util::get_size_in_bytes(cst.bp_rank_10) <<", "; cout<< util::get_size_in_bytes(cst.bp_select_10) <<", "; // cout<< cst.rmq_sada->getSize() <<", "; cout<< cst.rmq_engineered->getSize() <<", "; node_type k = 0; stop_watch stopwatch; stopwatch.start(); for(size_type i=0; i<10000000; ++i) { k += cst.lca(queries[(2*i)%1000000],queries[(2*i+1)%1000000]); } stopwatch.stop(); cout<< stopwatch.getUserTime() << ", "; cout<< k << ", "; k = 0; stopwatch.start(); for(size_type i=0; i<10000000; ++i) { k += cst.lca2(queries[(2*i)%1000000],queries[(2*i+1)%1000000]); } stopwatch.stop(); cout<< stopwatch.getUserTime() << ", "; cout<< k << ", "; k=0; stopwatch.start(); for(size_type i=0; i<10000000; ++i) { k += cst.sl(queries[i%1000000]); } stopwatch.stop(); cout<< stopwatch.getUserTime() << ", "; cout<< k << ", "; k = 0; stopwatch.start(); for(size_type i=0; i<10000000; ++i) { k += cst.sl2(queries[i%1000000]); } stopwatch.stop(); cout<< stopwatch.getUserTime() << ", "; cout<< k << endl; cerr<<" # k="< #include #include #include #include #include typedef int32_t DT; // type of the input data typedef uint32_t DTidx; // for indexing in arrays typedef unsigned char uchar; // must be big enough to hold block indices using namespace sdsl; /** * Implements a type-A algorithm for RMQ, needed to answer * RMQs on block minima of the excess sequence of the DFUDS. * There are blocks of size s' and superblocks of size s''. * Queries lying completely inside the blocks are handled naively. **/ template class RMQ_succinct_engineered { public: // return RMQ[i,j] virtual DTidx query(DTidx, DTidx); // returns space occupied by the index (in bytes) virtual unsigned long getSize(); // prepare excess sequence of U.excess(E[i]+(i*s)) // RMQ_succinct_engineered(RMQ_optimal*, DTidx); // RMQ_succinct_engineered(DT*, DTidx); RMQ_succinct_engineered(const CST*); ~RMQ_succinct_engineered(); protected: // number of elements DTidx n; // // pointer to calling type-p scheme // RMQ_optimal* R; const CST * cst; inline DT A(DTidx i){ return cst->bp_support.excess(i); }; // table M for the out-of-block queries (contains indices of block-minima) uchar** M; // because M just stores offsets (rel. to start of block), this method // re-calculates the true index: inline DTidx m(DTidx k, DTidx block) { return M[k][block]+(block*sprime); } // depth of table M: DTidx M_depth; // table M' for superblock-queries (contains indices of block-minima) DTidx** Mprime; // depth of table M': DTidx Mprime_depth; // block size DTidx sprime; // superblock size DTidx sprimeprime; // number of blocks (always n/sprime) DTidx nb; // number of superblocks (always n/sprimeprime) DTidx nsb; // return block-number of entry i: inline DTidx block(DTidx i) { return i/sprime; } // return superblock-number of entry i: inline DTidx superblock(DTidx i) { return i/sprimeprime; } // count allocated memory: unsigned long mem; // true if excess sequence is very small => answer queries naively bool sequence_very_small; }; template unsigned long RMQ_succinct_engineered::getSize() { return mem; } // adapted such that it returns leftmost min: template DTidx RMQ_succinct_engineered::query(DTidx i, DTidx j) { DTidx b_i = block(i); // i's block DTidx b_j = block(j); // j's block DTidx min, min_i, min_j, x, y; // min: to be returned DTidx block_difference = b_j - b_i; if (sequence_very_small || block_difference < 2) { min = i; // i&j not far apart => scan naively for (x = i+1; x <= j; x++) if (A(x) < A(min)) min = x; } else { DTidx s_bi = b_i * sprime; // start of block i DTidx s_bj = b_j * sprime; // start of block j min = i; for (x = i+1; x < s_bi + sprime; x++) if (A(x) < A(min)) min = x; DTidx k, twotothek, block_tmp; // for index calculations in M and M' b_i++; // block where out-of-block-query starts if (s_bj - s_bi - sprime < sprimeprime) { // no superblock query k = bit_magic::l1BP(block_difference - 2); twotothek = 1 << k; // 2^k x = m(k, b_i); y = m(k, b_j-twotothek); min_i = A(x) <= A(y) ? x : y; } else { // here we have to answer a superblock-query: DTidx sb_i = superblock(i); // i's superblock DTidx sb_j = superblock(j); // j's superblock block_tmp = block((sb_i+1)*sprimeprime); // end of left out-of-block-query k = bit_magic::l1BP(block_tmp - b_i); twotothek = 1 << k; // 2^k x = m(k, b_i); y = m(k, block_tmp+1-twotothek); min_i = A(x) <= A(y) ? x : y; if (sb_j > sb_i + 1) { // the superblock-query: k = bit_magic::l1BP(sb_j - sb_i - 2); twotothek = 1 << k; x = Mprime[k][sb_i+1]; y = Mprime[k][sb_j-twotothek]; min_j = A(x) <= A(y) ? x : y; if (A(min_j) < A(min_i)) min_i = min_j; } block_tmp = block(sb_j*sprimeprime); // start of right out-of-block-query k = bit_magic::l1BP(b_j - block_tmp); twotothek = 1 << k; // 2^k block_tmp--; // going one block to the left doesn't harm & saves tests x = m(k, block_tmp); y = m(k, b_j-twotothek); min_j = A(x) <= A(y) ? x : y; if (A(min_j) < A(min_i)) min_i = min_j; } if (A(min_i) < A(min)) min = min_i; for (x = s_bj; x <= j; x++) if (A(x) < A(min)) min = x; } return min; } /** * Standard Constructor. */ template RMQ_succinct_engineered::RMQ_succinct_engineered(const CST *cst) { this->cst = cst; this->n = cst->bp.size(); sprime = 1 << 6; // block-size sprimeprime = 1 << 8; // superblock-size nb = block(n-1)+1; // number of blocks nsb = superblock(n-1)+1; // number of superblocks // The following is necessary because we've fixed s' and s'' according to the // computer's word size and NOT according to the input size. This may cause // the (super-)block-size to be too big, i.e., the array too small. For such // small instances it isn't advisable anyway to use this data structure, // because simpler methods are faster and less space consuming. if (nb n) end = n; // last block could be smaller than sprime! if (A(z) < A(q)) q = z; // update minimum in superblock while (++z < end) { // step through current block: if (A(z) < A(p)) p = z; // update minimum in block if (A(z) < A(q)) q = z; // update minimum in superblock } M[0][i] = p-start; // store index of block-minimum (offset!) if (z % sprimeprime == 0 || z == n) { // reached end of superblock? Mprime[0][g++] = q; // store index of superblock-minimum q = z; } } // fill M: DTidx dist = 1; // always 2^(j-1) for (DTidx j = 1; j < M_depth; j++) { M[j] = new uchar[nb]; mem += sizeof(uchar) * nb; for (DTidx i = 0; i < nb - dist; i++) { // be careful: loop may go too far M[j][i] = A(m(j-1, i)) <= A(m(j-1,i+dist)) ? M[j-1][i] : M[j-1][i+dist] + (dist*sprime); // add 'skipped' elements in a } for (DTidx i = nb - dist; i < nb; i++) M[j][i] = M[j-1][i]; // fill overhang dist *= 2; } // fill M': dist = 1; // always 2^(j-1) for (DTidx j = 1; j < Mprime_depth; j++) { Mprime[j] = new DTidx[nsb]; mem += sizeof(DTidx)*nsb; for (DTidx i = 0; i < nsb - dist; i++) { Mprime[j][i] = A(Mprime[j-1][i]) <= A(Mprime[j-1][i+dist]) ? Mprime[j-1][i] : Mprime[j-1][i+dist]; } for (DTidx i = nsb - dist; i < nsb; i++) Mprime[j][i] = Mprime[j-1][i]; // overhang dist *= 2; } } /** * Destructor. 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0ustar gogtcs#include "sdsl/cst_sct.hpp" #include "sdsl/csa_wt.hpp" #include "sdsl/testutils.hpp" #include "sdsl/util.hpp" #include "sdsl/lcp.hpp" #include #include using namespace std; using namespace sdsl; typedef csa_wt::wavelet_tree_type, 24, 100, 0> tCSAWT; typedef cst_sct > tCST; int main(){ typedef tCST::size_type size_type; typedef tCST::node_type node_type; string file_name; cin>>file_name; tCST cst; if( !util::loadFromFile( cst, (file_name+".wt.lcp1byte.sct_cst").c_str()) ) { char *c_str = NULL; if( file::readText((const char*)file_name.c_str(), c_str) == 0 ){ cerr<<"Could not load file \""< 0 ) a[0] = 1; // for(size_type i=1; i queries(1000000*2); for(size_type i=0; igetSize())*8)/cst.csa.size() ) <<", "; // size in bits per character // cout<< util::get_size_in_bytes(cst)+cst.rmq_sada->getSize() <<", "; cout<< ( ((double)(util::get_size_in_bytes(cst)*8))/cst.csa.size() ) <<", "; // size in bits per character cout<< util::get_size_in_bytes(cst) <<", "; cout<< util::get_size_in_bytes(cst.csa) << ", "; cout<< util::get_size_in_bytes(cst.lcp) << ", "; cout<< util::get_size_in_bytes(cst.bp) << ", "; cout<< util::get_size_in_bytes(cst.bp_support) <<", "; /* vector lcpocc(18,0); for(tCST::const_iterator it=cst.begin(); it!=cst.end(); ++it){ if( *it != cst.root() and it.visit()==1 ){ size_type diff = cst.depth(*it)-cst.depth(cst.parent(*it)); if(diff > 17) diff = 17; ++lcpocc[diff]; } } for(int i=0; i<18; ++i) { cerr<

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