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root/radiance/ray/src/rt/data.c
Revision: 2.37
Committed: Tue Mar 12 16:54:51 2024 UTC (2 months ago) by greg
Content type: text/plain
Branch: MAIN
Changes since 2.36: +179 -1 lines
Log Message:
perf: added datavector() call for quicker spectral interpolation

File Contents

# User Rev Content
1 greg 1.1 #ifndef lint
2 greg 2.37 static const char RCSid[] = "$Id: data.c,v 2.36 2023/12/13 23:26:16 greg Exp $";
3 greg 1.1 #endif
4     /*
5     * data.c - routines dealing with interpolated data.
6     */
7    
8 greg 2.16 #include "copyright.h"
9 greg 2.22
10     #include <time.h>
11 greg 2.15
12 greg 2.25 #include "platform.h"
13 schorsch 2.28 #include "paths.h"
14 greg 1.1 #include "standard.h"
15     #include "color.h"
16 greg 1.11 #include "resolu.h"
17 schorsch 2.27 #include "view.h"
18 greg 1.1 #include "data.h"
19    
20 greg 2.7 /* picture memory usage before warning */
21     #ifndef PSIZWARN
22 greg 2.18 #ifdef SMLMEM
23 greg 2.29 #define PSIZWARN 3000000
24 greg 2.18 #else
25 greg 2.34 #define PSIZWARN 50000000
26 greg 2.7 #endif
27     #endif
28 greg 1.1
29 greg 2.7 #ifndef TABSIZ
30 greg 2.35 #define TABSIZ 997 /* table size (prime) */
31 greg 2.7 #endif
32 greg 2.6
33     #define hash(s) (shash(s)%TABSIZ)
34    
35    
36     static DATARRAY *dtab[TABSIZ]; /* data array list */
37 greg 1.1
38 schorsch 2.26 static gethfunc headaspect;
39    
40 greg 1.1
41 greg 2.31 DATARRAY *
42 schorsch 2.27 getdata( /* get data array dname */
43     char *dname
44     )
45 greg 1.1 {
46     char *dfname;
47     FILE *fp;
48 greg 2.30 int asize=0;
49 greg 2.31 int i, j;
50     DATARRAY *dp;
51 greg 1.1 /* look for array in list */
52 greg 2.6 for (dp = dtab[hash(dname)]; dp != NULL; dp = dp->next)
53 greg 1.1 if (!strcmp(dname, dp->name))
54     return(dp); /* found! */
55     /*
56     * If we haven't loaded the data already, we will look
57 greg 2.5 * for it in the directories specified by the library path.
58 greg 1.1 *
59     * The file has the following format:
60     *
61 greg 1.4 * N
62 greg 1.1 * beg0 end0 n0
63     * beg1 end1 n1
64     * . . .
65 greg 1.4 * begN endN nN
66 greg 1.1 * data, later dimensions changing faster
67     * . . .
68     *
69 greg 1.4 * For irregularly spaced points, the following can be
70     * substituted for begi endi ni:
71     *
72 greg 1.6 * 0 0 ni p0i p1i .. pni
73 greg 1.1 */
74    
75 greg 2.17 if ((dfname = getpath(dname, getrlibpath(), R_OK)) == NULL) {
76 greg 1.1 sprintf(errmsg, "cannot find data file \"%s\"", dname);
77 greg 2.32 error(SYSTEM, errmsg);
78 greg 1.1 }
79     if ((fp = fopen(dfname, "r")) == NULL) {
80     sprintf(errmsg, "cannot open data file \"%s\"", dfname);
81     error(SYSTEM, errmsg);
82     }
83     /* get dimensions */
84 greg 2.36 if (fgetval(fp, 'i', &asize) <= 0)
85 greg 1.1 goto scanerr;
86 schorsch 2.24 if ((asize <= 0) | (asize > MAXDDIM)) {
87 greg 1.1 sprintf(errmsg, "bad number of dimensions for \"%s\"", dname);
88     error(USER, errmsg);
89     }
90 greg 2.12 if ((dp = (DATARRAY *)malloc(sizeof(DATARRAY))) == NULL)
91     goto memerr;
92     dp->name = savestr(dname);
93     dp->type = DATATY;
94     dp->nd = asize;
95 greg 1.1 asize = 1;
96     for (i = 0; i < dp->nd; i++) {
97 greg 2.36 if (fgetval(fp, DATATY, &dp->dim[i].org) <= 0)
98 greg 1.6 goto scanerr;
99 greg 2.36 if (fgetval(fp, DATATY, &dp->dim[i].siz) <= 0)
100 greg 1.10 goto scanerr;
101 greg 2.36 if (fgetval(fp, 'i', &dp->dim[i].ne) <= 0)
102 greg 1.10 goto scanerr;
103 greg 1.6 if (dp->dim[i].ne < 2)
104     goto scanerr;
105     asize *= dp->dim[i].ne;
106     if ((dp->dim[i].siz -= dp->dim[i].org) == 0) {
107 greg 2.12 dp->dim[i].p = (DATATYPE *)
108     malloc(dp->dim[i].ne*sizeof(DATATYPE));
109 greg 1.4 if (dp->dim[i].p == NULL)
110     goto memerr;
111 greg 2.10 for (j = 0; j < dp->dim[i].ne; j++)
112 greg 2.36 if (fgetval(fp, DATATY, &dp->dim[i].p[j]) <= 0)
113 greg 1.4 goto scanerr;
114     for (j = 1; j < dp->dim[i].ne-1; j++)
115     if ((dp->dim[i].p[j-1] < dp->dim[i].p[j]) !=
116     (dp->dim[i].p[j] < dp->dim[i].p[j+1]))
117     goto scanerr;
118     dp->dim[i].org = dp->dim[i].p[0];
119     dp->dim[i].siz = dp->dim[i].p[dp->dim[i].ne-1]
120     - dp->dim[i].p[0];
121     } else
122 greg 1.6 dp->dim[i].p = NULL;
123 greg 1.1 }
124 greg 2.12 if ((dp->arr.d = (DATATYPE *)malloc(asize*sizeof(DATATYPE))) == NULL)
125 greg 1.1 goto memerr;
126    
127 greg 2.10 for (i = 0; i < asize; i++)
128 greg 2.36 if (fgetval(fp, DATATY, &dp->arr.d[i]) <= 0)
129 greg 1.1 goto scanerr;
130     fclose(fp);
131 greg 2.6 i = hash(dname);
132     dp->next = dtab[i];
133     return(dtab[i] = dp);
134 greg 1.1 memerr:
135     error(SYSTEM, "out of memory in getdata");
136     scanerr:
137     sprintf(errmsg, "%s in data file \"%s\"",
138     feof(fp) ? "unexpected EOF" : "bad format", dfname);
139     error(USER, errmsg);
140 greg 2.36 return NULL; /* pro forma return */
141 greg 1.1 }
142    
143    
144 greg 2.15 static int
145 schorsch 2.26 headaspect( /* check string for aspect ratio */
146     char *s,
147     void *iap
148     )
149 greg 1.5 {
150 greg 2.33 char fmt[MAXFMTLEN];
151 gwlarson 2.14
152 greg 1.5 if (isaspect(s))
153 schorsch 2.26 *(double*)iap *= aspectval(s);
154 greg 2.36 else if (formatval(fmt, s) && strcmp(fmt, COLRFMT))
155 schorsch 2.26 *(double*)iap = 0.0;
156 gwlarson 2.14 return(0);
157 greg 1.5 }
158    
159 greg 2.31 DATARRAY *
160 schorsch 2.27 getpict( /* get picture pname */
161     char *pname
162     )
163 greg 1.1 {
164 greg 2.4 double inpaspect;
165 greg 1.1 char *pfname;
166     FILE *fp;
167 greg 2.12 COLR *scanin;
168 greg 1.11 int sl, ns;
169 greg 2.3 RESOLU inpres;
170 schorsch 2.21 RREAL loc[2];
171 greg 1.11 int y;
172 greg 2.31 int x, i;
173     DATARRAY *pp;
174 greg 1.1 /* look for array in list */
175 greg 2.12 for (pp = dtab[hash(pname)]; pp != NULL; pp = pp->next)
176 greg 1.1 if (!strcmp(pname, pp->name))
177     return(pp); /* found! */
178    
179 greg 2.17 if ((pfname = getpath(pname, getrlibpath(), R_OK)) == NULL) {
180 greg 1.1 sprintf(errmsg, "cannot find picture file \"%s\"", pname);
181 greg 2.32 error(SYSTEM, errmsg);
182 greg 1.1 }
183 greg 2.12 if ((pp = (DATARRAY *)malloc(3*sizeof(DATARRAY))) == NULL)
184 greg 1.1 goto memerr;
185    
186 greg 2.12 pp[0].name = savestr(pname);
187 greg 1.1
188 greg 2.36 if ((fp = fopen(pfname, "rb")) == NULL) {
189 greg 1.1 sprintf(errmsg, "cannot open picture file \"%s\"", pfname);
190     error(SYSTEM, errmsg);
191     }
192     /* get dimensions */
193 greg 1.5 inpaspect = 1.0;
194 schorsch 2.26 getheader(fp, headaspect, &inpaspect);
195 gwlarson 2.14 if (inpaspect <= FTINY || !fgetsresolu(&inpres, fp))
196 greg 1.1 goto readerr;
197 greg 2.12 pp[0].nd = 2;
198     pp[0].dim[0].ne = inpres.yr;
199     pp[0].dim[1].ne = inpres.xr;
200     pp[0].dim[0].org =
201     pp[0].dim[1].org = 0.0;
202     if (inpres.xr <= inpres.yr*inpaspect) {
203     pp[0].dim[0].siz = inpaspect *
204     (double)inpres.yr/inpres.xr;
205     pp[0].dim[1].siz = 1.0;
206     } else {
207     pp[0].dim[0].siz = 1.0;
208     pp[0].dim[1].siz = (double)inpres.xr/inpres.yr /
209     inpaspect;
210     }
211     pp[0].dim[0].p = pp[0].dim[1].p = NULL;
212     sl = scanlen(&inpres); /* allocate array */
213     ns = numscans(&inpres);
214     i = ns*sl*sizeof(COLR);
215 greg 2.7 #if PSIZWARN
216 greg 2.12 if (i > PSIZWARN) { /* memory warning */
217 greg 2.29 sprintf(errmsg, "picture file \"%s\" using %.1f MB of memory",
218     pname, i*(1.0/(1024*1024)));
219 greg 2.7 error(WARNING, errmsg);
220     }
221     #endif
222 greg 2.12 if ((pp[0].arr.c = (COLR *)malloc(i)) == NULL)
223     goto memerr;
224 greg 1.1 /* load picture */
225 greg 2.12 if ((scanin = (COLR *)malloc(sl*sizeof(COLR))) == NULL)
226 greg 1.1 goto memerr;
227 greg 1.11 for (y = 0; y < ns; y++) {
228 greg 2.12 if (freadcolrs(scanin, sl, fp) < 0)
229 greg 1.1 goto readerr;
230 greg 1.11 for (x = 0; x < sl; x++) {
231     pix2loc(loc, &inpres, x, y);
232     i = (int)(loc[1]*inpres.yr)*inpres.xr +
233     (int)(loc[0]*inpres.xr);
234 greg 2.12 copycolr(pp[0].arr.c[i], scanin[x]);
235 greg 1.11 }
236 greg 1.1 }
237 greg 2.36 free(scanin);
238 greg 1.1 fclose(fp);
239 greg 2.6 i = hash(pname);
240 greg 2.12 pp[0].next = dtab[i]; /* link into picture list */
241 schorsch 2.23 pp[1] = pp[0];
242     pp[2] = pp[0];
243 greg 2.12 pp[0].type = RED; /* differentiate RGB records */
244     pp[1].type = GRN;
245     pp[2].type = BLU;
246     return(dtab[i] = pp);
247 greg 1.1 memerr:
248     error(SYSTEM, "out of memory in getpict");
249     readerr:
250     sprintf(errmsg, "bad picture file \"%s\"", pfname);
251     error(USER, errmsg);
252 greg 2.36 return NULL; /* pro forma return */
253     }
254    
255    
256     /* header info type for hyperspectral image */
257     typedef struct {
258     float wlpart[4]; /* wavelength partitions */
259     int nc; /* number of components */
260     double inpaspect; /* pixel aspect ratio */
261     } SPECINFO;
262    
263     static int
264     specheadline( /* get info for spectral image */
265     char *s,
266     void *cdp
267     )
268     {
269     SPECINFO *sip = (SPECINFO *)cdp;
270     char fmt[MAXFMTLEN];
271    
272     if (isaspect(s))
273     sip->inpaspect *= aspectval(s);
274     else if (isncomp(s))
275     sip->nc = ncompval(s);
276     else if (iswlsplit(s))
277     wlsplitval(sip->wlpart, s);
278     else if (formatval(fmt, s) && strcmp(fmt, SPECFMT))
279     return(-1);
280     return(0);
281     }
282    
283     DATARRAY *
284     getspec( /* load hyperspectral image as data */
285     char *sname
286     )
287     {
288     SPECINFO si;
289     char *pfname;
290     FILE *fp;
291     int sl, ns;
292     int y, i;
293     DATARRAY *pp;
294     /* look for array in list */
295     for (pp = dtab[hash(sname)]; pp != NULL; pp = pp->next)
296     if (!strcmp(sname, pp->name))
297     return(pp); /* found! */
298    
299     if ((pfname = getpath(sname, getrlibpath(), R_OK)) == NULL) {
300     sprintf(errmsg, "cannot find hyperspectral image \"%s\"", sname);
301     error(SYSTEM, errmsg);
302     }
303     if ((fp = fopen(pfname, "rb")) == NULL) {
304     sprintf(errmsg, "cannot open hyperspectral image \"%s\"", pfname);
305     error(SYSTEM, errmsg);
306     }
307     si.wlpart[3] = 0;
308     si.nc = 0;
309     si.inpaspect = 1.0;
310     if (getheader(fp, specheadline, &si) < 0 ||
311     (si.nc <= 3) | (si.nc > MAXCSAMP) | (si.wlpart[3] < 1) ||
312     !fscnresolu(&sl, &ns, fp))
313     goto readerr;
314    
315     if ((pp = (DATARRAY *)malloc(sizeof(DATARRAY))) == NULL)
316     goto memerr;
317    
318     pp->name = savestr(sname);
319     pp->type = SPECTY;
320     pp->nd = 3;
321     pp->dim[0].ne = ns;
322     pp->dim[1].ne = sl;
323     pp->dim[0].org =
324     pp->dim[1].org = 0.0;
325     if (sl <= ns*si.inpaspect) {
326     pp->dim[0].siz = si.inpaspect * (double)ns/sl;
327     pp->dim[1].siz = 1.0;
328     } else {
329     pp->dim[0].siz = 1.0;
330     pp->dim[1].siz = (double)sl/ns / si.inpaspect;
331     }
332     pp->dim[2].ne = si.nc;
333     pp->dim[2].siz = si.wlpart[3] - si.wlpart[0];
334     pp->dim[2].org = si.wlpart[0] + 0.5*pp->dim[2].siz/si.nc;
335     pp->dim[2].siz *= (si.nc - 1.0)/si.nc;
336     pp->dim[0].p = pp->dim[1].p = pp->dim[2].p = NULL;
337     i = ns*sl*(si.nc+1);
338     #if PSIZWARN
339     if (i > PSIZWARN) { /* memory warning */
340     sprintf(errmsg, "hyperspectral image \"%s\" using %.1f MB of memory",
341     sname, i*(1.0/(1024*1024)));
342     error(WARNING, errmsg);
343     }
344     #endif
345     if ((pp->arr.s = (uby8 *)malloc(i)) == NULL)
346     goto memerr;
347     for (y = 0; y < ns; y++) /* read each scanline */
348     if (freadscolrs(pp->arr.s + y*sl*(si.nc+1), si.nc, sl, fp) < 0)
349     goto readerr;
350     fclose(fp);
351     i = hash(sname); /* insert in hash table */
352     pp->next = dtab[i];
353     return(dtab[i] = pp);
354     memerr:
355     error(SYSTEM, "out of memory in getspec");
356     readerr:
357     sprintf(errmsg, "bad hyperspectral image \"%s\"", pfname);
358     error(USER, errmsg);
359     return NULL; /* pro forma return */
360 greg 1.1 }
361    
362    
363 greg 2.31 void
364 schorsch 2.27 freedata( /* release data array reference */
365     DATARRAY *dta
366     )
367 greg 1.1 {
368 greg 2.5 DATARRAY head;
369 greg 2.6 int hval, nents;
370 greg 2.31 DATARRAY *dpl, *dp;
371     int i;
372 greg 1.1
373 greg 2.15 if (dta == NULL) { /* free all if NULL */
374 greg 2.6 hval = 0; nents = TABSIZ;
375     } else {
376 greg 2.15 hval = hash(dta->name); nents = 1;
377 greg 2.37 if (!*dta->name) { /* not a data file? */
378     dta->next = dtab[hval];
379     dtab[hval] = dta; /* ...fake position */
380     }
381 greg 2.6 }
382     while (nents--) {
383     head.next = dtab[hval];
384     dpl = &head;
385     while ((dp = dpl->next) != NULL)
386 schorsch 2.24 if ((dta == NULL) | (dta == dp)) {
387 greg 2.6 dpl->next = dp->next;
388 greg 2.36 free(dp->arr.p);
389 greg 2.6 for (i = 0; i < dp->nd; i++)
390     if (dp->dim[i].p != NULL)
391 greg 2.36 free(dp->dim[i].p);
392 greg 2.6 freestr(dp->name);
393 greg 2.36 free(dp);
394 greg 2.6 } else
395     dpl = dp;
396     dtab[hval++] = head.next;
397     }
398 greg 1.1 }
399    
400    
401 greg 2.37 /* internal call to interpolate data value or vector */
402     static double
403     data_interp(DATARRAY *dp, double *pt, double coef, DATATYPE *rvec)
404     {
405     DATARRAY sd;
406     int stride, i;
407     double x, c0, c1, y0, y1;
408     /* set up dimensions for recursion */
409     if (dp->nd > 1) {
410     sd.name = dp->name;
411     sd.type = dp->type;
412     sd.nd = dp->nd - 1;
413     memcpy(sd.dim, dp->dim+1, sd.nd*sizeof(struct dadim));
414     stride = sd.dim[i = sd.nd-1].ne + (sd.type==SPECTY);
415     while (i-- > 0)
416     stride *= sd.dim[i].ne;
417     }
418     /* get independent variable */
419     if (dp->dim[0].p == NULL) { /* evenly spaced points */
420     x = (pt[0] - dp->dim[0].org)/dp->dim[0].siz;
421     x *= (double)(dp->dim[0].ne - 1);
422     i = x;
423     if (i < 0)
424     i = 0;
425     else if (i > dp->dim[0].ne - 2)
426     i = dp->dim[0].ne - 2;
427     } else { /* unevenly spaced points */
428     int lower, upper;
429     if (dp->dim[0].siz > 0.0) {
430     lower = 0;
431     upper = dp->dim[0].ne;
432     } else {
433     lower = dp->dim[0].ne;
434     upper = 0;
435     }
436     do {
437     i = (lower + upper) >> 1;
438     if (pt[0] >= dp->dim[0].p[i])
439     lower = i;
440     else
441     upper = i;
442     } while (i != (lower + upper) >> 1);
443    
444     if (i > dp->dim[0].ne - 2)
445     i = dp->dim[0].ne - 2;
446    
447     x = i + (pt[0] - dp->dim[0].p[i]) /
448     (dp->dim[0].p[i+1] - dp->dim[0].p[i]);
449     }
450     /*
451     * Compute interpolation coefficients:
452     * extrapolate as far as one division, then
453     * taper off harmonically to zero.
454     */
455     if (x > i+2) {
456     c0 = 1./(i-1 - x);
457     c1 = -2.*c0;
458     } else if (x < i-1) {
459     c1 = 1./(i - x);
460     c0 = -2.*c1;
461     } else {
462     c0 = i+1 - x;
463     c1 = x - i;
464     }
465     c0 *= coef;
466     c1 *= coef;
467     /* check if vector interp */
468     if ((dp->nd == 2) & (rvec != NULL)) {
469     if (dp->type == DATATY) {
470     sd.arr.d = dp->arr.d + i*stride;
471     for (i = sd.dim[0].ne; i--; )
472     rvec[i] += c0*sd.arr.d[i]
473     + c1*sd.arr.d[i+stride];
474     return(0.);
475     }
476     if (dp->type == SPECTY) {
477     double f;
478     sd.arr.s = dp->arr.s + i*stride;
479     f = ldexp(1.0, (int)sd.arr.s[sd.dim[0].ne]
480     - (COLXS+8));
481     for (i = sd.dim[0].ne; i--; )
482     rvec[i] += c0*f*(sd.arr.s[i] + 0.5);
483     sd.arr.s += stride;
484     f = ldexp(1.0, (int)sd.arr.s[sd.dim[0].ne]
485     - (COLXS+8));
486     for (i = sd.dim[0].ne; i--; )
487     rvec[i] += c1*f*(sd.arr.s[i] + 0.5);
488     return(0.);
489     }
490     sd.arr.c = dp->arr.c + i*stride;
491     for (i = sd.dim[0].ne; i--; )
492     rvec[i] += c0*colrval(sd.arr.c[i],sd.type)
493     + c1*colrval(sd.arr.c[i+stride],sd.type);
494     return(0.);
495     }
496     /* get dependent variable */
497     if (dp->nd > 1) {
498     if (dp->type == DATATY) {
499     sd.arr.d = dp->arr.d + i*stride;
500     y0 = data_interp(&sd, pt+1, c0, rvec);
501     sd.arr.d += stride;
502     } else if (dp->type == SPECTY) {
503     sd.arr.s = dp->arr.s + i*stride;
504     y0 = data_interp(&sd, pt+1, c0, rvec);
505     sd.arr.s += stride;
506     } else {
507     sd.arr.c = dp->arr.c + i*stride;
508     y0 = data_interp(&sd, pt+1, c0, rvec);
509     sd.arr.c += stride;
510     }
511     y1 = data_interp(&sd, pt+1, c1, rvec);
512     } else { /* end of recursion */
513     if (dp->type == DATATY) {
514     y0 = dp->arr.d[i];
515     y1 = dp->arr.d[i+1];
516     } else if (dp->type == SPECTY) {
517     if (dp->arr.s[dp->dim[0].ne]) {
518     double f = ldexp(1.0, -(COLXS+8) +
519     (int)dp->arr.s[dp->dim[0].ne]);
520     y0 = (dp->arr.s[i] + 0.5)*f;
521     y1 = (dp->arr.s[i+1] + 0.5)*f;
522     } else
523     y0 = y1 = 0.0;
524     } else {
525     y0 = colrval(dp->arr.c[i],dp->type);
526     y1 = colrval(dp->arr.c[i+1],dp->type);
527     }
528     y0 *= c0;
529     y1 *= c1;
530     }
531     return(y0 + y1); /* coefficients already applied */
532     }
533    
534    
535     double
536     datavalue( /* interpolate data value at a point */
537     DATARRAY *dp,
538     double *pt
539     )
540     {
541     return(data_interp(dp, pt, 1., NULL));
542     }
543    
544    
545     /* Interpolate final vector corresponding to last dimension in data array */
546     DATARRAY *
547     datavector(DATARRAY *dp, double *pt)
548     {
549     DATARRAY *newdp;
550    
551     if (dp->nd < 2)
552     error(INTERNAL, "datavector() called with 1-D array");
553     /* create vector array */
554     newdp = (DATARRAY *)malloc(sizeof(DATARRAY) -
555     (MAXDDIM-1)*sizeof(struct dadim) +
556     sizeof(DATATYPE)*dp->dim[dp->nd-1].ne);
557     if (newdp == NULL)
558     error(SYSTEM, "out of memory in datavector");
559     newdp->next = NULL;
560     newdp->name = dp->name;
561     newdp->type = DATATY;
562     newdp->nd = 1; /* vector data goes here */
563     newdp->dim[0] = dp->dim[dp->nd-1];
564     newdp->arr.d = (DATATYPE *)(newdp->dim + 1);
565     memset(newdp->arr.d, 0, sizeof(DATATYPE)*newdp->dim[0].ne);
566    
567     (void)data_interp(dp, pt, 1., newdp->arr.d);
568    
569     return(newdp); /* will be free'd using free() */
570     }
571    
572    
573     #if 0
574 greg 2.31 double
575 schorsch 2.27 datavalue( /* interpolate data value at a point */
576 greg 2.31 DATARRAY *dp,
577 schorsch 2.27 double *pt
578     )
579 greg 1.1 {
580     DATARRAY sd;
581     int asize;
582 greg 1.6 int lower, upper;
583 greg 2.31 int i;
584 greg 2.9 double x, y0, y1;
585 greg 1.4 /* set up dimensions for recursion */
586 greg 2.12 if (dp->nd > 1) {
587     sd.name = dp->name;
588     sd.type = dp->type;
589     sd.nd = dp->nd - 1;
590     asize = 1;
591     for (i = 0; i < sd.nd; i++) {
592     sd.dim[i].org = dp->dim[i+1].org;
593     sd.dim[i].siz = dp->dim[i+1].siz;
594     sd.dim[i].p = dp->dim[i+1].p;
595 greg 2.36 asize *= (sd.dim[i].ne = dp->dim[i+1].ne) +
596     ((sd.type==SPECTY) & (i==sd.nd-1));
597 greg 2.12 }
598 greg 1.1 }
599 greg 1.4 /* get independent variable */
600     if (dp->dim[0].p == NULL) { /* evenly spaced points */
601     x = (pt[0] - dp->dim[0].org)/dp->dim[0].siz;
602 greg 2.9 x *= (double)(dp->dim[0].ne - 1);
603 greg 1.4 i = x;
604     if (i < 0)
605     i = 0;
606     else if (i > dp->dim[0].ne - 2)
607     i = dp->dim[0].ne - 2;
608     } else { /* unevenly spaced points */
609 greg 1.6 if (dp->dim[0].siz > 0.0) {
610     lower = 0;
611     upper = dp->dim[0].ne;
612     } else {
613     lower = dp->dim[0].ne;
614     upper = 0;
615     }
616     do {
617     i = (lower + upper) >> 1;
618     if (pt[0] >= dp->dim[0].p[i])
619     lower = i;
620 greg 1.8 else
621 greg 1.6 upper = i;
622     } while (i != (lower + upper) >> 1);
623 greg 2.36
624 greg 1.8 if (i > dp->dim[0].ne - 2)
625 greg 1.4 i = dp->dim[0].ne - 2;
626 greg 2.36
627 greg 1.4 x = i + (pt[0] - dp->dim[0].p[i]) /
628     (dp->dim[0].p[i+1] - dp->dim[0].p[i]);
629     }
630     /* get dependent variable */
631 greg 2.12 if (dp->nd > 1) {
632     if (dp->type == DATATY) {
633     sd.arr.d = dp->arr.d + i*asize;
634     y0 = datavalue(&sd, pt+1);
635 greg 2.36 sd.arr.d += asize;
636     y1 = datavalue(&sd, pt+1);
637     } else if (dp->type == SPECTY) {
638     sd.arr.s = dp->arr.s + i*asize;
639     y0 = datavalue(&sd, pt+1);
640     sd.arr.s += asize;
641 greg 2.12 y1 = datavalue(&sd, pt+1);
642     } else {
643     sd.arr.c = dp->arr.c + i*asize;
644     y0 = datavalue(&sd, pt+1);
645 greg 2.36 sd.arr.c += asize;
646 greg 2.12 y1 = datavalue(&sd, pt+1);
647     }
648 greg 1.1 } else {
649 greg 2.12 if (dp->type == DATATY) {
650     y0 = dp->arr.d[i];
651     y1 = dp->arr.d[i+1];
652 greg 2.36 } else if (dp->type == SPECTY) {
653     if (dp->arr.s[dp->dim[0].ne]) {
654     double f = ldexp(1.0, -(COLXS+8) +
655     (int)dp->arr.s[dp->dim[0].ne]);
656     y0 = (dp->arr.s[i] + 0.5)*f;
657     y1 = (dp->arr.s[i+1] + 0.5)*f;
658     } else
659     y0 = y1 = 0.0;
660 greg 2.12 } else {
661     y0 = colrval(dp->arr.c[i],dp->type);
662     y1 = colrval(dp->arr.c[i+1],dp->type);
663     }
664 greg 1.1 }
665     /*
666     * Extrapolate as far as one division, then
667     * taper off harmonically to zero.
668     */
669     if (x > i+2)
670 greg 2.9 return( (2*y1-y0)/(x-(i-1)) );
671 greg 1.1
672 greg 2.9 if (x < i-1)
673     return( (2*y0-y1)/(i-x) );
674    
675     return( y0*((i+1)-x) + y1*(x-i) );
676 greg 1.1 }
677 greg 2.37 #endif