server/src/automate.c

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#include <platform.h>
#include "kernel/faction.h"
#include "kernel/order.h"
#include "kernel/region.h"
#include "kernel/unit.h"
#include "util/log.h"
#include "automate.h"
#include "keyword.h"
#include "study.h"
#include <stdlib.h>
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#include <assert.h>
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static int cmp_scholars(const void *lhs, const void *rhs)
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{
const scholar *a = (const scholar *)lhs;
const scholar *b = (const scholar *)rhs;
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if (a->sk == b->sk) {
/* sort by level, descending: */
return b->level - a->level;
}
/* order by skill */
return (int)a->sk - (int)b->sk;
}
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int autostudy_init(scholar scholars[], int max_scholars, region *r)
{
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unit *u;
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int nscholars = 0;
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for (u = r->units; u; u = u->next) {
keyword_t kwd = getkeyword(u->thisorder);
if (kwd == K_AUTOSTUDY) {
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scholar * st = scholars + nscholars;
if (++nscholars == max_scholars) {
log_fatal("you must increase MAXSCHOLARS");
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}
st->u = u;
init_order(u->thisorder, u->faction->locale);
st->sk = getskill(u->faction->locale);
st->level = effskill_study(u, st->sk);
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st->learn = 0;
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}
}
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if (nscholars > 0) {
qsort(scholars, nscholars, sizeof(scholar), cmp_scholars);
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}
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return nscholars;
}
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static void teaching(scholar *s, int n) {
assert(n <= s->u->number);
s->learn += n;
}
static void learning(scholar *s, int n) {
assert(n <= s->u->number);
s->learn += n;
}
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void autostudy_run(scholar scholars[], int nscholars)
{
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int ti = 0;
while (ti != nscholars) {
skill_t sk = scholars[ti].sk;
int t, s, se, ts = 0, tt = 0, si = ti;
for (se = ti; se != nscholars && scholars[se].sk == sk; ++se) {
int mint;
ts += scholars[se].u->number; /* count total scholars */
mint = (ts + 10) / 11; /* need a minimum of ceil(ts/11) teachers */
for (; mint > tt && si != nscholars; ++si) {
tt += scholars[si].u->number;
}
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}
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/* now si splits the teachers and students 1:10 */
/* first student must be 2 levels below first teacher: */
for (; si != se && scholars[ti].level - TEACHDIFFERENCE > scholars[si].level; ++si) {
tt += scholars[si].u->number;
}
if (si == se) {
/* there are no students, so standard learning only */
for (t = ti; t != se; ++t) {
learning(scholars + t, scholars[t].u->number);
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}
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}
else {
/* invariant: unit ti can still teach i students */
int i = scholars[ti].u->number * STUDENTS_PER_TEACHER;
/* invariant: unit si has n students that can still be taught */
int n = scholars[si].u->number;
for (t = ti, s = si; t != si && s != se; ) {
if (i > n) {
/* t has more than enough teaching capacity for s */
i -= n;
teaching(scholars + s, n);
learning(scholars + s, scholars[s].u->number);
/* next student, please: */
if (++s == se) {
continue;
}
n = scholars[s].u->number;
}
else {
/* s gets partial credit and we need a new teacher */
teaching(scholars + s, i);
/* we are done with this teacher. any remaining people are regular learners: */
if (scholars[t].u->number > 1) {
/* remain = number - ceil(taught/10); */
int remain = (STUDENTS_PER_TEACHER * scholars[t].u->number - i + STUDENTS_PER_TEACHER - 1) / STUDENTS_PER_TEACHER;
learning(scholars + t, remain);
}
/* we want a new teacher for s. if any exists, it's next in the sequence. */
if (++t == si) {
continue;
}
if (scholars[t].level - TEACHDIFFERENCE < scholars[s].level) {
/* next teacher cannot teach, we must skip students. */
do {
learning(scholars + s, (n - i));
i = 0;
if (++s == se) {
continue;
}
n = scholars[s].u->number;
} while (scholars[t].level - TEACHDIFFERENCE < scholars[s].level);
}
i = scholars[t].u->number * STUDENTS_PER_TEACHER;
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}
}
}
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ti = se;
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}
}
#define MAXSCHOLARS 128
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void do_autostudy(region *r)
{
scholar scholars[MAXSCHOLARS];
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int i, nscholars = autostudy_init(scholars, MAXSCHOLARS, r);
autostudy_run(scholars, nscholars);
for (i = 0; i != nscholars; ++i) {
int days = STUDYDAYS * scholars[i].learn;
learn_skill(scholars[i].u, scholars[i].sk, days);
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}
}