forked from github/server
220 lines
7.8 KiB
C
220 lines
7.8 KiB
C
#include <platform.h>
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#include "kernel/config.h"
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#include "kernel/faction.h"
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#include "kernel/messages.h"
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#include "kernel/order.h"
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#include "kernel/region.h"
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#include "kernel/unit.h"
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#include "util/keyword.h"
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#include "util/log.h"
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#include "automate.h"
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#include "laws.h"
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#include "study.h"
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#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;
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const scholar *b = (const scholar *)rhs;
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int diff = b->level - a->level;
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return (diff != 0) ? diff : b->u->number - a->u->number;
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}
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int autostudy_init(scholar scholars[], int max_scholars, unit **units, skill_t *o_skill)
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{
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unit *unext = NULL, *u = *units;
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faction *f = u->faction;
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int nscholars = 0;
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skill_t skill = NOSKILL;
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while (u) {
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if (!fval(u, UFL_MARK)) {
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keyword_t kwd = init_order(u->thisorder, u->faction->locale);
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if (kwd == K_AUTOSTUDY) {
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if (f == u->faction) {
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unext = u->next;
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if (long_order_allowed(u)) {
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scholar * st = scholars + nscholars;
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skill_t sk = getskill(u->faction->locale);
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if (skill == NOSKILL && sk != NOSKILL) {
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skill = sk;
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if (o_skill) {
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*o_skill = skill;
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}
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}
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if (check_student(u, u->thisorder, sk)) {
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if (sk == skill) {
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fset(u, UFL_MARK);
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st->level = (short)effskill_study(u, sk);
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st->learn = 0;
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st->u = u;
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if (++nscholars >= max_scholars) {
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log_warning("you must increase MAXSCHOLARS");
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break;
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}
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}
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}
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else {
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fset(u, UFL_MARK);
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}
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}
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}
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}
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}
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u = u->next;
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}
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while (unext && unext->faction != f) {
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unext = unext->next;
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}
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*units = unext;
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if (nscholars > 0) {
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qsort(scholars, nscholars, sizeof(scholar), cmp_scholars);
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}
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return nscholars;
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}
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static void teaching(scholar *s, int n) {
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assert(n <= s->u->number);
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// doppelter Effekt mit Lehrer:
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s->learn += n;
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s->u->flags |= UFL_LONGACTION;
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}
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static void learning(scholar *s, int n) {
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assert(n <= s->u->number);
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s->learn += n;
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s->u->flags |= UFL_LONGACTION;
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}
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void autostudy_run(scholar scholars[], int nscholars)
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{
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int ti = 0;
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while (ti != nscholars) {
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int t, ts = 0, tt = 0, si = ti, mint = 0, ns = 0;
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for (t = ti; t != nscholars; ++t) {
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ts += scholars[t].u->number; /* count total scholars */
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mint = (ts + 10) / 11; /* need a minimum of ceil(ts/11) teachers */
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for (; mint > tt && si != nscholars; ++si) {
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tt += scholars[si].u->number;
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}
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}
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if (mint < tt) {
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/* die Einheit si-1 hat einen Mix aus Lehrer und Sch<63>ler */
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--si;
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ns = tt - mint;
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}
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/* now si splits the teachers and students 1:10 */
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/* first student must be 2 levels below first teacher: */
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for (; si != nscholars; ++si) {
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if (scholars[si].level + TEACHDIFFERENCE <= scholars[ti].level) {
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break;
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}
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ns = 0;
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}
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/* now si is the first unit we can teach, if we can teach any */
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if (si == nscholars) {
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/* there are no students, so standard learning for everyone */
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for (t = ti; t != nscholars; ++t) {
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learning(scholars + t, scholars[t].u->number);
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}
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}
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else {
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/* invariant: unit ti can still teach i students */
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int i = scholars[ti].u->number * STUDENTS_PER_TEACHER;
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/* invariant: unit si has n students that can still be taught */
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int s, n = (ns > 0) ? ns : scholars[si].u->number;
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for (t = ti, s = si; t != si && s != nscholars; ) {
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if (i >= n) {
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/* t has more than enough teaching capacity for s */
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i -= n;
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teaching(scholars + s, n);
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learning(scholars + s, scholars[s].u->number);
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/* next student, please: */
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if (++s == nscholars) {
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/* no more students */
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break;
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}
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n = scholars[s].u->number;
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}
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else {
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/* a part of s gets credited and we need a new teacher: */
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teaching(scholars + s, i);
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/* we still need to teach n students in this unit: */
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n -= i;
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i = 0;
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/* we want a new teacher for s. if any exists, it's next in the sequence. */
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if (++t == si) {
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continue;
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}
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if (scholars[t].level - TEACHDIFFERENCE < scholars[s].level) {
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/* no remaining teacher can teach this student, so we skip ahead */
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do {
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/* remaining students learn without a teacher: */
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learning(scholars + s, n);
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if (++s == nscholars) {
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break;
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}
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n = scholars[s].u->number;
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} while (scholars[t].level - TEACHDIFFERENCE < scholars[s].level);
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}
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i = scholars[t].u->number * STUDENTS_PER_TEACHER;
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}
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}
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if (i > 0) {
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int remain = (STUDENTS_PER_TEACHER * scholars[t].u->number - i + STUDENTS_PER_TEACHER - 1) / STUDENTS_PER_TEACHER;
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/* teacher has remaining time */
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learning(scholars + t, remain);
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}
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++t;
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for (; t < si; ++t) {
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/* teachers that did not teach */
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learning(scholars + t, scholars[t].u->number);
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}
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for (; s < nscholars; ++s) {
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/* students that were not taught */
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learning(scholars + s, scholars[s].u->number);
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}
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}
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ti = nscholars;
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}
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}
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void do_autostudy(region *r)
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{
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static int config;
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static int batchsize = MAXSCHOLARS;
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static int max_scholars;
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scholar scholars[MAXSCHOLARS];
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unit *u;
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if (config_changed(&config)) {
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batchsize = config_get_int("automate.batchsize", MAXSCHOLARS);
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assert(batchsize <= MAXSCHOLARS);
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}
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for (u = r->units; u; u = u->next) {
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if (!fval(u, UFL_MARK)) {
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unit *ulist = u;
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int sum_scholars = 0;
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while (ulist) {
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skill_t skill = NOSKILL;
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int i, nscholars = autostudy_init(scholars, batchsize, &ulist, &skill);
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assert(ulist == NULL || ulist->faction == u->faction);
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sum_scholars += nscholars;
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if (sum_scholars > max_scholars) {
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stats_count("automate.max_scholars", sum_scholars - max_scholars);
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max_scholars = sum_scholars;
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}
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autostudy_run(scholars, nscholars);
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for (i = 0; i != nscholars; ++i) {
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int days = STUDYDAYS * scholars[i].learn;
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learn_skill(scholars[i].u, skill, days);
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}
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}
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}
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freset(u, UFL_MARK);
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}
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}
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