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twain3.0/3rdparty/hgOCR/leptonica/dnafunc1.c

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/*====================================================================*
- Copyright (C) 2001 Leptonica. All rights reserved.
-
- Redistribution and use in source and binary forms, with or without
- modification, are permitted provided that the following conditions
- are met:
- 1. Redistributions of source code must retain the above copyright
- notice, this list of conditions and the following disclaimer.
- 2. Redistributions in binary form must reproduce the above
- copyright notice, this list of conditions and the following
- disclaimer in the documentation and/or other materials
- provided with the distribution.
-
- THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS
- ``AS IS'' AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT
- LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR
- A PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL ANY
- CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL,
- EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO,
- PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR
- PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY
- OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING
- NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS
- SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
*====================================================================*/
/*!
* \file dnafunc1.c
* <pre>
*
* Rearrangements
* l_int32 *l_dnaJoin()
* l_int32 *l_dnaaFlattenToDna()
*
* Conversion between numa and dna
* NUMA *l_dnaConvertToNuma()
* L_DNA *numaConvertToDna()
*
* Set operations using aset (rbtree)
* L_DNA *l_dnaUnionByAset()
* L_DNA *l_dnaRemoveDupsByAset()
* L_DNA *l_dnaIntersectionByAset()
* L_ASET *l_asetCreateFromDna()
*
* Miscellaneous operations
* L_DNA *l_dnaDiffAdjValues()
*
*
* This file contains an implementation on sets of doubles (or integers)
* that uses an underlying tree (rbtree). The keys stored in the tree
* are simply the double array values in the dna. Use of a DnaHash
* is typically more efficient, with O(1) in lookup and insertion.
*
* </pre>
*/
#include "allheaders.h"
/*----------------------------------------------------------------------*
* Rearrangements *
*----------------------------------------------------------------------*/
/*!
* \brief l_dnaJoin()
*
* \param[in] dad dest dna; add to this one
* \param[in] das [optional] source dna; add from this one
* \param[in] istart starting index in das
* \param[in] iend ending index in das; use -1 to cat all
* \return 0 if OK, 1 on error
*
* <pre>
* Notes:
* (1) istart < 0 is taken to mean 'read from the start' (istart = 0)
* (2) iend < 0 means 'read to the end'
* (3) if das == NULL, this is a no-op
* </pre>
*/
l_ok
l_dnaJoin(L_DNA *dad,
L_DNA *das,
l_int32 istart,
l_int32 iend)
{
l_int32 n, i;
l_float64 val;
PROCNAME("l_dnaJoin");
if (!dad)
return ERROR_INT("dad not defined", procName, 1);
if (!das)
return 0;
if (istart < 0)
istart = 0;
n = l_dnaGetCount(das);
if (iend < 0 || iend >= n)
iend = n - 1;
if (istart > iend)
return ERROR_INT("istart > iend; nothing to add", procName, 1);
for (i = istart; i <= iend; i++) {
l_dnaGetDValue(das, i, &val);
l_dnaAddNumber(dad, val);
}
return 0;
}
/*!
* \brief l_dnaaFlattenToDna()
*
* \param[in] daa
* \return dad, or NULL on error
*
* <pre>
* Notes:
* (1) This 'flattens' the dnaa to a dna, by joining successively
* each dna in the dnaa.
* (2) It leaves the input dnaa unchanged.
* </pre>
*/
L_DNA *
l_dnaaFlattenToDna(L_DNAA *daa)
{
l_int32 i, nalloc;
L_DNA *da, *dad;
L_DNA **array;
PROCNAME("l_dnaaFlattenToDna");
if (!daa)
return (L_DNA *)ERROR_PTR("daa not defined", procName, NULL);
nalloc = daa->nalloc;
array = daa->dna;
dad = l_dnaCreate(0);
for (i = 0; i < nalloc; i++) {
da = array[i];
if (!da) continue;
l_dnaJoin(dad, da, 0, -1);
}
return dad;
}
/*----------------------------------------------------------------------*
* Conversion between numa and dna *
*----------------------------------------------------------------------*/
/*!
* \brief l_dnaConvertToNuma()
*
* \param[in] da
* \return na, or NULL on error
*/
NUMA *
l_dnaConvertToNuma(L_DNA *da)
{
l_int32 i, n;
l_float64 val;
NUMA *na;
PROCNAME("l_dnaConvertToNuma");
if (!da)
return (NUMA *)ERROR_PTR("da not defined", procName, NULL);
n = l_dnaGetCount(da);
na = numaCreate(n);
for (i = 0; i < n; i++) {
l_dnaGetDValue(da, i, &val);
numaAddNumber(na, val);
}
return na;
}
/*!
* \brief numaConvertToDna
*
* \param[in] na
* \return da, or NULL on error
*/
L_DNA *
numaConvertToDna(NUMA *na)
{
l_int32 i, n;
l_float32 val;
L_DNA *da;
PROCNAME("numaConvertToDna");
if (!na)
return (L_DNA *)ERROR_PTR("na not defined", procName, NULL);
n = numaGetCount(na);
da = l_dnaCreate(n);
for (i = 0; i < n; i++) {
numaGetFValue(na, i, &val);
l_dnaAddNumber(da, val);
}
return da;
}
/*----------------------------------------------------------------------*
* Set operations using aset (rbtree) *
*----------------------------------------------------------------------*/
/*!
* \brief l_dnaUnionByAset()
*
* \param[in] da1, da2
* \return dad with the union of the set of numbers, or NULL on error
*
* <pre>
* Notes:
* (1) See sarrayUnionByAset() for the approach.
* (2) Here, the key in building the sorted tree is the number itself.
* (3) Operations using an underlying tree are O(nlogn), which is
* typically less efficient than hashing, which is O(n).
* </pre>
*/
L_DNA *
l_dnaUnionByAset(L_DNA *da1,
L_DNA *da2)
{
L_DNA *da3, *dad;
PROCNAME("l_dnaUnionByAset");
if (!da1)
return (L_DNA *)ERROR_PTR("da1 not defined", procName, NULL);
if (!da2)
return (L_DNA *)ERROR_PTR("da2 not defined", procName, NULL);
/* Join */
da3 = l_dnaCopy(da1);
l_dnaJoin(da3, da2, 0, -1);
/* Eliminate duplicates */
dad = l_dnaRemoveDupsByAset(da3);
l_dnaDestroy(&da3);
return dad;
}
/*!
* \brief l_dnaRemoveDupsByAset()
*
* \param[in] das
* \return dad with duplicates removed, or NULL on error
*/
L_DNA *
l_dnaRemoveDupsByAset(L_DNA *das)
{
l_int32 i, n;
l_float64 val;
L_DNA *dad;
L_ASET *set;
RB_TYPE key;
PROCNAME("l_dnaRemoveDupsByAset");
if (!das)
return (L_DNA *)ERROR_PTR("das not defined", procName, NULL);
set = l_asetCreate(L_FLOAT_TYPE);
dad = l_dnaCreate(0);
n = l_dnaGetCount(das);
for (i = 0; i < n; i++) {
l_dnaGetDValue(das, i, &val);
key.ftype = val;
if (!l_asetFind(set, key)) {
l_dnaAddNumber(dad, val);
l_asetInsert(set, key);
}
}
l_asetDestroy(&set);
return dad;
}
/*!
* \brief l_dnaIntersectionByAset()
*
* \param[in] da1, da2
* \return dad with the intersection of the two arrays, or NULL on error
*
* <pre>
* Notes:
* (1) See sarrayIntersection() for the approach.
* (2) Here, the key in building the sorted tree is the number itself.
* (3) Operations using an underlying tree are O(nlogn), which is
* typically less efficient than hashing, which is O(n).
* </pre>
*/
L_DNA *
l_dnaIntersectionByAset(L_DNA *da1,
L_DNA *da2)
{
l_int32 n1, n2, i, n;
l_float64 val;
L_ASET *set1, *set2;
RB_TYPE key;
L_DNA *da_small, *da_big, *dad;
PROCNAME("l_dnaIntersectionByAset");
if (!da1)
return (L_DNA *)ERROR_PTR("da1 not defined", procName, NULL);
if (!da2)
return (L_DNA *)ERROR_PTR("da2 not defined", procName, NULL);
/* Put the elements of the largest array into a set */
n1 = l_dnaGetCount(da1);
n2 = l_dnaGetCount(da2);
da_small = (n1 < n2) ? da1 : da2; /* do not destroy da_small */
da_big = (n1 < n2) ? da2 : da1; /* do not destroy da_big */
set1 = l_asetCreateFromDna(da_big);
/* Build up the intersection of floats */
dad = l_dnaCreate(0);
n = l_dnaGetCount(da_small);
set2 = l_asetCreate(L_FLOAT_TYPE);
for (i = 0; i < n; i++) {
l_dnaGetDValue(da_small, i, &val);
key.ftype = val;
if (l_asetFind(set1, key) && !l_asetFind(set2, key)) {
l_dnaAddNumber(dad, val);
l_asetInsert(set2, key);
}
}
l_asetDestroy(&set1);
l_asetDestroy(&set2);
return dad;
}
/*!
* \brief l_asetCreateFromDna()
*
* \param[in] da source dna
* \return set using the doubles in %da as keys
*/
L_ASET *
l_asetCreateFromDna(L_DNA *da)
{
l_int32 i, n;
l_float64 val;
L_ASET *set;
RB_TYPE key;
PROCNAME("l_asetCreateFromDna");
if (!da)
return (L_ASET *)ERROR_PTR("da not defined", procName, NULL);
set = l_asetCreate(L_FLOAT_TYPE);
n = l_dnaGetCount(da);
for (i = 0; i < n; i++) {
l_dnaGetDValue(da, i, &val);
key.ftype = val;
l_asetInsert(set, key);
}
return set;
}
/*----------------------------------------------------------------------*
* Miscellaneous operations *
*----------------------------------------------------------------------*/
/*!
* \brief l_dnaDiffAdjValues()
*
* \param[in] das input l_dna
* \return dad of difference values val[i+1] - val[i],
* or NULL on error
*/
L_DNA *
l_dnaDiffAdjValues(L_DNA *das)
{
l_int32 i, n, prev, cur;
L_DNA *dad;
PROCNAME("l_dnaDiffAdjValues");
if (!das)
return (L_DNA *)ERROR_PTR("das not defined", procName, NULL);
n = l_dnaGetCount(das);
dad = l_dnaCreate(n - 1);
prev = 0;
for (i = 1; i < n; i++) {
l_dnaGetIValue(das, i, &cur);
l_dnaAddNumber(dad, cur - prev);
prev = cur;
}
return dad;
}
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