/* Copyright (C) 2004, 2008, 2011 Rocky Bernstein Copyright (C) 1998 Monty xiphmont@mit.edu 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 3 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, see . */ /*** * Gap analysis support code for paranoia * ***/ #ifdef HAVE_CONFIG_H # include "config.h" # define __CDIO_CONFIG_H__ 1 #endif #include "p_block.h" #include #include "gap.h" #include /**** Gap analysis code ***************************************************/ /* =========================================================================== * i_paranoia_overlap_r (internal) * * This function seeks backward through two vectors (starting at the given * offsets) to determine how many consecutive samples agree. It returns * the number of matching samples, which may be 0. * * Unlike its sibling, i_paranoia_overlap_f, this function doesn't need to * be given the size of the vectors (all vectors stop at offset 0). * * This function is used by i_analyze_rift_r() below to find where a * leading rift ends. */ long int i_paranoia_overlap_r(int16_t *buffA,int16_t *buffB, long offsetA, long offsetB) { long beginA=offsetA; long beginB=offsetB; /* Start at the given offsets and work our way backwards until we hit * the beginning of one of the vectors. */ for( ; beginA>=0 && beginB>=0; beginA--,beginB-- ) if (buffA[beginA] != buffB[beginB]) break; return(offsetA-beginA); } /* =========================================================================== * i_paranoia_overlap_f (internal) * * This function seeks forward through two vectors (starting at the given * offsets) to determine how many consecutive samples agree. It returns * the number of matching samples, which may be 0. * * Unlike its sibling, i_paranoia_overlap_r, this function needs to given * the size of the vectors. * * This function is used by i_analyze_rift_f() below to find where a * trailing rift ends. */ long int i_paranoia_overlap_f(int16_t *buffA,int16_t *buffB, long offsetA, long offsetB, long sizeA,long sizeB) { long endA=offsetA; long endB=offsetB; /* Start at the given offsets and work our way forward until we hit * the end of one of the vectors. */ for(;endA or <- */ /* =========================================================================== * i_analyze_rift_f (internal) * * This function examines a trailing rift to see how far forward the rift goes * and to determine what kind of rift it is. This function is called by * i_stage2_each() when a trailing rift is detected. (aoffset,boffset) are * the offsets into (A,B) of the first mismatching sample. * * This function returns: * matchA > 0 if there are (matchA) samples missing from A * matchA < 0 if there are (-matchA) duplicate samples (stuttering) in A * matchB > 0 if there are (matchB) samples missing from B * matchB < 0 if there are (-matchB) duplicate samples in B * matchC != 0 if there are (matchC) samples of garbage, after which * both A and B are in sync again */ void i_analyze_rift_f(int16_t *A,int16_t *B, long sizeA, long sizeB, long aoffset, long boffset, long *matchA,long *matchB,long *matchC) { long apast=sizeA-aoffset; long bpast=sizeB-boffset; long i; *matchA=0, *matchB=0, *matchC=0; /* Look forward to see where we regain agreement between vectors * A and B (of at least MIN_WORDS_RIFT samples). We look for one of * the following possible matches: * * edge * v * (1) (... A matching run)|(aoffset matches ...) * (... B matching run)| (rift) |(boffset+i matches ...) * * (2) (... A matching run)| (rift) |(aoffset+i matches ...) * (... B matching run)|(boffset matches ...) * * (3) (... A matching run)| (rift) |(aoffset+i matches ...) * (... B matching run)| (rift) |(boffset+i matches ...) * * Anything that doesn't match one of these three is too corrupt to * for us to recover from. E.g.: * * (... A matching run)| (rift) |(eventual match ...) * (... B matching run)| (big rift) |(eventual match ...) * * We won't find the eventual match, since we wouldn't be sure how * to fix the rift. */ for(i=1;;i++){ /* Search for whatever case we hit first, so as to end up with the * smallest rift. */ /* Don't search for (1) past the end of B */ if (i=MIN_WORDS_RIFT){ *matchA=i; break; } /* Don't search for (2) or (3) past the end of A */ if (i=MIN_WORDS_RIFT){ *matchB=i; break; } /* Don't search for (3) past the end of B */ if (i=MIN_WORDS_RIFT){ *matchC=i; break; } }else /* Stop searching when we've reached the end of both vectors. * In theory we could stop when there aren't MIN_WORDS_RIFT samples * left in both vectors, but this case should happen fairly rarely. */ if(i>=bpast)break; /* Try the search again with a larger tentative rift. */ } if(*matchA==0 && *matchB==0 && *matchC==0)return; if(*matchC)return; /* For case (1) or (2), we need to determine whether the rift contains * samples dropped by the other vector (that should be inserted), or * whether the rift contains a stutter (that should be dropped). To * distinguish, we check the contents of the rift against the good samples * just before the rift. If the contents match, then the rift contains * a stutter. * * A stutter in the second vector: * (...good samples... 1234)|(567 ...newly matched run...) * (...good samples... 1234)| (1234) | (567 ...newly matched run) * * Samples missing from the first vector: * (...good samples... 1234)|(901 ...newly matched run...) * (...good samples... 1234)| (5678) |(901 ...newly matched run...) * * Of course, there's no theoretical guarantee that a non-stutter * truly represents missing samples, but given that we're dealing with * verified fragments in stage 2, we can have some confidence that this * is the case. */ if(*matchA){ /* For case (1), we need to determine whether A dropped samples at the * rift or whether B stuttered. * * If the rift doesn't match the good samples in A (and hence in B), * it's not a stutter, and the rift should be inserted into A. */ if(i_stutter_or_gap(A,B,aoffset-*matchA,boffset,*matchA)) return; /* It is a stutter, so we need to signal that we need to remove * (matchA) bytes from B. */ *matchB = -*matchA; *matchA=0; return; }else{ /* Case (2) is the inverse of case (1) above. */ if(i_stutter_or_gap(B,A,boffset-*matchB,aoffset,*matchB)) return; *matchA = -*matchB; *matchB=0; return; } } /* riftv must be first even val of rift moving back */ /* =========================================================================== * i_analyze_rift_r (internal) * * This function examines a leading rift to see how far back the rift goes * and to determine what kind of rift it is. This function is called by * i_stage2_each() when a leading rift is detected. (aoffset,boffset) are * the offsets into (A,B) of the first mismatching sample. * * This function returns: * matchA > 0 if there are (matchA) samples missing from A * matchA < 0 if there are (-matchA) duplicate samples (stuttering) in A * matchB > 0 if there are (matchB) samples missing from B * matchB < 0 if there are (-matchB) duplicate samples in B * matchC != 0 if there are (matchC) samples of garbage, after which * both A and B are in sync again */ void i_analyze_rift_r(int16_t *A,int16_t *B, long sizeA, long sizeB, long aoffset, long boffset, long *matchA,long *matchB,long *matchC) { long apast=aoffset+1; long bpast=boffset+1; long i; *matchA=0, *matchB=0, *matchC=0; /* Look backward to see where we regain agreement between vectors * A and B (of at least MIN_WORDS_RIFT samples). We look for one of * the following possible matches: * * edge * v * (1) (... aoffset matches)|(A matching run ...) * (... boffset-i matches)| (rift) |(B matching run ...) * * (2) (... aoffset-i matches)| (rift) |(A matching run ...) * (... boffset matches)|(B matching run ...) * * (3) (... aoffset-i matches)| (rift) |(A matching run ...) * (... boffset-i matches)| (rift) |(B matching run ...) * * Anything that doesn't match one of these three is too corrupt to * for us to recover from. E.g.: * * (... eventual match)| (rift) |(A matching run ...) * (... eventual match) | (big rift) |(B matching run ...) * * We won't find the eventual match, since we wouldn't be sure how * to fix the rift. */ for(i=1;;i++){ /* Search for whatever case we hit first, so as to end up with the * smallest rift. */ /* Don't search for (1) past the beginning of B */ if (i=MIN_WORDS_RIFT){ *matchA=i; break; } /* Don't search for (2) or (3) past the beginning of A */ if (i=MIN_WORDS_RIFT){ *matchB=i; break; } /* Don't search for (3) past the beginning of B */ if (i=MIN_WORDS_RIFT){ *matchC=i; break; } }else /* Stop searching when we've reached the end of both vectors. * In theory we could stop when there aren't MIN_WORDS_RIFT samples * left in both vectors, but this case should happen fairly rarely. */ if(i>=bpast)break; /* Try the search again with a larger tentative rift. */ } if(*matchA==0 && *matchB==0 && *matchC==0)return; if(*matchC)return; /* For case (1) or (2), we need to determine whether the rift contains * samples dropped by the other vector (that should be inserted), or * whether the rift contains a stutter (that should be dropped). To * distinguish, we check the contents of the rift against the good samples * just after the rift. If the contents match, then the rift contains * a stutter. * * A stutter in the second vector: * (...newly matched run... 234)|(5678 ...good samples...) * (...newly matched run... 234)| (5678) |(5678 ...good samples...) * * Samples missing from the first vector: * (...newly matched run... 890)|(5678 ...good samples...) * (...newly matched run... 890)| (1234) |(5678 ...good samples...) * * Of course, there's no theoretical guarantee that a non-stutter * truly represents missing samples, but given that we're dealing with * verified fragments in stage 2, we can have some confidence that this * is the case. */ if(*matchA){ /* For case (1), we need to determine whether A dropped samples at the * rift or whether B stuttered. * * If the rift doesn't match the good samples in A (and hence in B), * it's not a stutter, and the rift should be inserted into A. * * ???BUG??? It's possible for aoffset+1+*matchA to be > sizeA, in * which case the comparison in i_stutter_or_gap() will extend beyond * the bounds of A. Thankfully, this isn't writing data and thus * trampling memory, but it's still a memory access error that should * be fixed. * * This bug is not fixed yet. */ if(i_stutter_or_gap(A,B,aoffset+1,boffset-*matchA+1,*matchA)) return; /* It is a stutter, so we need to signal that we need to remove * (matchA) bytes from B. */ *matchB = -*matchA; *matchA=0; return; }else{ /* Case (2) is the inverse of case (1) above. */ if(i_stutter_or_gap(B,A,boffset+1,aoffset-*matchB+1,*matchB)) return; *matchA = -*matchB; *matchB=0; return; } } /* =========================================================================== * analyze_rift_silence_f (internal) * * This function examines the fragment and root from the rift onward to * see if they have a rift's worth of silence (or if they end with silence). * It sets (*matchA) to -1 if A's rift is silence, (*matchB) to -1 if B's * rift is silence, and sets them to 0 otherwise. * * Note that, unlike every other function in cdparanoia, this function * considers any repeated value to be silence (which, in effect, it is). * All other functions only consider repeated zeroes to be silence. * * ??? Is this function name just a misnomer, as it's really looking for * repeated garbage? * * This function is called by i_stage2_each() if it runs into a trailing rift * that i_analyze_rift_f couldn't diagnose. This checks for another variant: * where one vector has silence and the other doesn't. We then assume * that the silence (and anything following it) is garbage. * * Note that while this function checks both A and B for silence, the caller * assumes that only one or the other has silence. */ void analyze_rift_silence_f(int16_t *A,int16_t *B,long sizeA,long sizeB, long aoffset, long boffset, long *matchA, long *matchB) { *matchA=-1; *matchB=-1; /* Search for MIN_WORDS_RIFT samples, or to the end of the vector, * whichever comes first. */ sizeA=min(sizeA,aoffset+MIN_WORDS_RIFT); sizeB=min(sizeB,boffset+MIN_WORDS_RIFT); aoffset++; boffset++; /* Check whether A has only "silence" within the search range. Note * that "silence" here is a single, repeated value (zero or not). */ while(aoffset