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exdc_factor_new_v3_ave_bak.cc
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exdc_factor_new_v3_ave_bak.cc
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#include <iostream>
#include <fstream>
#include <sstream>
#include <string>
#include <cstdlib>
#include <climits>
#include <vector>
#include <map>
#include <cmath>
#include <cassert>
#include <ctime>
#include <sys/timeb.h>
#include "head/queue.h"
#include "head/stack.h"
#include "head/basics.h"
#include "head/helper.h"
#include "head/read_file.h"
#include "head/write_func.h"
#include "head/exdc_helper.h"
#include "head/btree.h"
#include "head/simu_ckt.h"
#include "head/loc_sim_main_v2.h"
#include "cudd/bnet.h"
#include "cudd/cudd_build_v2.h"
#include "/home/wuyi/usr/CUDD/cudd-2.5.0/cudd/cudd.h"
#include "/home/wuyi/usr/CUDD/cudd-2.5.0/cudd/cuddInt.h"
using namespace std;
extern int numPI_ini;
extern int sample_num;
extern double ini_threshold_er, ini_threshold_em;
extern int num_one_po_equal, num_one_po_unequal;
extern map<string, set<char*> > po_tfi;
extern map<string, set<string> > po_inputs;
extern map<string, vector<string> > po_cone_string;
extern vector<string> sub_abs_ckt, sub_abs_pi, sub_abs_po;
extern vector<string> comparator_ckt, comparator_pi, comparator_po;
extern vector<int> comp_number;
extern double ave_error_max, ave_error_max_cur, real_er_max, real_er_max_cur;
extern double real_er_min, ave_error_min;
extern int lit_save_pre;
extern double er_weight, em_weight, lit_weight;
extern int score_mode;
static int error_rate_unconstraint;
//#define flag_error 1
#define BDD_SAT_mode 2 // 1: BDD, 2: SAT
#define e 2.718
#define exp_ratio 0.005
#define flag_score_factor 0
#define flag_threshold_em_tmp 1
#define flag_round 0
#define flag_beyond 0
#define flag_std_er 4
#define flag_std_em 3
#define mul_ratio 1.22
#define round_bit 2
#define beyond_ratio_1 0.3
#define beyond_ratio_2 0.3
#define ratio_pen 1.05
#define mul_const 10
/*
functions in this file:
*/
void exdc_factor_new_v3_ave(BnetNetwork *net, DdManager **dd, char *cnode, double score_factor, vector<char*> &unsort_cutnodes, multimap<double, struct score_pla> &score_record, vector<string> &org_pla, vector<string> &dont_care, set<char*> &po_set, map<string, int> &internal_index, vector<struct index_flag> &input_index, map<string, struct wi_pair> &sim_output_wi, struct po_index_set &pis, vector<string> &rand, vector<string> &simu_res, int num_output, map<string, map<string, double> > &node_pattern_rate, struct score_pla &max_sp, double max_score, double threshold_er, double threshold_em, double real_em, int &min_modified_po, int &max_modified_po, int &flag_add_const, int iIndex)
{
//iterators
struct timeb st, et, st1, et1, st2, et2;
map<string, double>::iterator itrm_sd, itrm_sd1;
map<string, struct score_pla>::iterator itrm_ss;
set<int>::iterator itrs0, itrs1, itrs2;
set<string>::iterator itrss, itrss0, itrss1;
set<char*>::iterator itrs_char;
map<string, set<char*> >::iterator itrm_sc;
map<string, set<string> >::iterator itrm_sss;
map<string, vector<string> >::iterator itrm_sv;
map<string, struct wi_pair>::iterator itrm_sw;
map<int, int>::iterator itrmi;
//variables
//initialize max_sp
max_sp.score = -(1e+9);
max_sp.lit_save = 0;
max_sp.real_er = 1;
max_sp.max_em = 1e+9;
max_sp.status = 0;
vector<string> final_pla;
char com[100];
string str, s;
BnetNode *nd, *tmp, *auxnd;
int lit_save, lit_save_total, status = 0;
double score, real_er_whole, this_ave_error_mag = 0;
double est_real_er_whole;
double cur_real_er_whole = ini_threshold_er - threshold_er;
double cur_real_em_whole = real_em;
double er_margin = threshold_er/(1 - (ini_threshold_er-threshold_er));
double min_error_mag = 0;
int real_aff_po_min, real_aff_po_max;
if (real_er_max < 1e-8) real_er_max = exp_ratio;
double std_er, std_em;
if (flag_std_er == 1) std_er = ini_threshold_er;
else if (flag_std_er == 2) std_er = real_er_max;
else if (flag_std_er == 3) std_er = threshold_er;
else if (flag_std_er == 4) std_er = cur_real_er_whole;
if (flag_std_em == 1) std_em = ini_threshold_em;
else if (flag_std_em == 2) std_em = ave_error_max;
else if (flag_std_em == 3) std_em = cur_real_em_whole;
if (iIndex == 0)
{
std_er = ini_threshold_er;
std_em = ini_threshold_er * ini_threshold_em/2;
}
cout << "std_er = " << std_er << ", std_em = " << std_em << endl;
if (iIndex == 0)
{
if (threshold_er == 1)
error_rate_unconstraint = 1;
else
error_rate_unconstraint = 0;
}
cout << endl << "$current node: " << cnode << endl;
if (error_rate_unconstraint)
threshold_er = 1;
/////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////
/* step1. obtain pattern_rate for cnode and see if there are patterns with probabilities within er_margin */
set<string> dont_care_set;
for (int i = 0; i < dont_care.size(); i++)
dont_care_set.insert(dont_care[i]);
string sname(cnode);
map<string, map<string, double> >::iterator itrm_ssd;
itrm_ssd = node_pattern_rate.find(sname);
map<string, double> pattern_rate = itrm_ssd->second;
if (error_rate_unconstraint == 0)
{
int num_useful = 0;
if (dont_care.empty())
{
for(itrm_sd = pattern_rate.begin(); itrm_sd != pattern_rate.end(); itrm_sd++)
{
double er = itrm_sd->second;
if ( er <= mul_ratio * threshold_er )
{
num_useful++;
break;
}
}
if(!num_useful)
{
cout << "no useful patterns!" << endl;
return;
}
}
}
/////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////
/* step2. check the range of weights of the affected POs to exclude some impossible cases */
//if current node has only one affected po, then first get its weight and compute its maximum error magnitude
int weight_limit = log(threshold_em)/log(2);
int min_weight = 1000, max_weight = -1;
if (po_set.size() == 1)
{
cout << "Current node has one affected po!" << endl;
itrs_char = po_set.begin();
string po(*itrs_char);
if(iIndex > 0) po.append("sim");
itrm_sw = sim_output_wi.find(po);
int weight = itrm_sw->second.weight;
min_weight = max_weight = weight;
st_lookup(net->hash, cnode, &nd);
if (nd->nfo == 1)
{
char *fanout = nd->fanouts[0];
st_lookup(net->hash, fanout, &tmp);
if (tmp->type == BNET_OUTPUT_NODE)
{
cout << "weight = " << weight << ", weight_limit = " << weight_limit << endl;
min_error_mag = pow(2.0, weight);
if (min_error_mag > threshold_em)
{
cout << "cnode is PO itself and its error mag is larger than threshold_em!" << endl;
return;
}
}
}
}
else
{
cout << "Current node has multiple affected pos!" << endl;
for(itrs_char = po_set.begin(); itrs_char != po_set.end(); itrs_char++)
{
string po(*itrs_char);
if(iIndex > 0) po.append("sim");
itrm_sw = sim_output_wi.find(po);
int weight = itrm_sw->second.weight;
if (weight < min_weight) min_weight = weight;
if (weight > max_weight) max_weight = weight;
}
}
int pre_min_modified_po = min_modified_po;
int pre_max_modified_po = max_modified_po;
cout << "min_modified_po = " << min_modified_po << ", max_modified_po = " << max_modified_po << endl;
cout << "min_weight = " << min_weight << ", max_weight = " << max_weight << endl;
int this_min_modified_po = (min_weight < min_modified_po)? min_weight: min_modified_po;
int this_max_modified_po = (max_weight > max_modified_po)? max_weight: max_modified_po;
cout << "this_min_modified_po = " << this_min_modified_po << ", this_max_modified_po = " << this_max_modified_po << endl;
min_modified_po = this_min_modified_po;
max_modified_po = this_max_modified_po;
/////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////
/* step4. get the factored form of cnode and build its binary tree */
//get num_input and name_pos
int num_input = unsort_cutnodes.size();
cout << "unsort_cutnodes: " << endl;
set<string> insig;
map<string, int> name_pos;
map<string, int>::iterator itrm_si;
for(int i = 0; i < unsort_cutnodes.size(); i++)
{
cout << unsort_cutnodes[i] << " ";
string name(unsort_cutnodes[i]);
insig.insert(name);
name_pos.insert(pair<string, int>(name, i));
}
cout << endl;
//print and read the factored form of cnode
cout << endl << "$factor form of bignode: " << endl;
write_bignode_pla(net, cnode);
sprintf(com, "sis -t none -f ./script/print_factor_org.rug > factor.txt");
system(com);
string ffe;
read_factor_v2(ffe);
//build a binary tree for the factored-form-expression
btNode *ini_root;
string ffe_space;
add_space_star(ffe, ffe_space);
build_tree_from_exp(ffe_space, &ini_root);
cout << "ffe_space = " << ffe_space << endl;
/////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////
/* step5. prepare for the simplification process */
//pick exdcs for ffe(factor-form-expression)
cout << endl << "**************************************" << endl;
cout << "$pick exdcs for ffe(factor-form-expression): " << endl;
cout << "current factor: " << ffe << endl;
btNode *root;
//find all leaf nodes and set their indexes: leaf_set
map<int, btNode*> ini_leaf_set, leaf_set;
map<int, btNode*>::iterator itrm_ib;
int start_ind = 0;
visitleaf(ini_root, ini_leaf_set, start_ind);
leaf_set = ini_leaf_set;
int num_lit = ini_leaf_set.size();
cout << "num_lit = " << num_lit << endl;
comp_exp(&ini_root); //compute expression at each node
//obtain ini_node_inv_pla & ini_current_inv_pla
map<int, vector<string> > ini_index_inv_pla, index_inv_pla;
map<int, vector<string> >::iterator itrm_iv;
multimap<string, int> ini_node_index, node_index;
multimap<string, int>::iterator itrmm_si;
set<string> ini_current_inv_pla, current_inv_pla;
update_index_inv_pla(ini_root, ini_leaf_set, name_pos, num_input, ini_index_inv_pla, ini_node_index, ini_current_inv_pla);
index_inv_pla = ini_index_inv_pla;
current_inv_pla = ini_current_inv_pla;
node_index = ini_node_index;
/////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////
/* step6. start check every possible simplification */
set<string> exdc_cubes, all_exdc_minterms;
vector<string> sim_org_pla, sim_org_pla_tmp, final_org_pla;
int num_lit_org = num_lit;
if(num_lit > 5) num_lit = 5; //set the limit for literal save
int flag_continue = 0;
double er_part, em_part;
for(int i = 1; i <= num_lit; i++)
{
if(i == num_lit)
{
cout << endl << "##lit_save = " << i << endl;
cout << "case 1. removing this whole factor: " << endl;
exdc_cubes.clear();
for(itrss = ini_current_inv_pla.begin(); itrss != ini_current_inv_pla.end(); itrss++)
exdc_cubes.insert(*itrss);
all_exdc_minterms.clear();
for(itrss = exdc_cubes.begin(); itrss != exdc_cubes.end(); itrss++)
{
string cube = *itrss;
exp_cube_set(cube, all_exdc_minterms);
}
double this_real_er_case1, this_real_er_case2;
status = simu_real_er(all_exdc_minterms, dont_care_set, pattern_rate, this_real_er_case1);
cout << "this_real_er_case1 = " << this_real_er_case1 << ", threshold_er = " << threshold_er << endl;
cout << "er_margin = " << er_margin << endl;
if (flag_round)
{
round_error_rate(this_real_er_case1, round_bit);
cout << "after round, this_real_er_case1 = " << this_real_er_case1 << endl;
}
if (this_real_er_case1 > er_margin) cout << "!error rate is beyond er_margin" << endl;
// else if (flag_beyond && (ini_threshold_er-threshold_er) > beyond_ratio_1 * ini_threshold_er && this_real_er_case1 > beyond_ratio_2 * ini_threshold_er)
// cout << "real_er is beyond!" << endl;
else
{
cout << "!error rate is within er_margin" << endl;
if (this_real_er_case1 > real_er_max_cur) real_er_max_cur = this_real_er_case1;
if (this_real_er_case1/er_margin > 0.9) this_real_er_case1 *= pow(ratio_pen, ini_threshold_er/threshold_er);
// compute lit_save
sim_org_pla.clear();
for(int k = 0; k < org_pla.size(); k++)
{
itrss = ini_current_inv_pla.find(org_pla[k]);
if(itrss == ini_current_inv_pla.end())
sim_org_pla.push_back(org_pla[k]);
}
final_org_pla.clear();
lit_save = get_save_new(net, cnode, 0, sim_org_pla, final_org_pla, iIndex);
//compute score using lit_save and this_real_er
flag_continue = 0;
lit_save_total = lit_save;
if (score_mode == 3)
{
if (this_real_er_case1 == 0 && status == 0)
score = lit_save_total * (1e+5);
else if (this_real_er_case1 == 0 && status == 1)
score = lit_save_total / (cur_real_er_whole+exp_ratio-cur_real_er_whole*exp_ratio);
else
score = lit_save_total / (cur_real_er_whole+this_real_er_case1-cur_real_er_whole*this_real_er_case1);
if (score > max_score) flag_continue = 1;
}
else if (score_mode == 4)
{
if (this_real_er_case1 == 0 && status == 0)
er_part = 1e-8;
else if (this_real_er_case1 == 0 && status == 1)
er_part = er_weight * (cur_real_er_whole+exp_ratio-cur_real_er_whole*exp_ratio)/ini_threshold_er;
else
er_part = er_weight * (cur_real_er_whole+this_real_er_case1-cur_real_er_whole*this_real_er_case1)/ini_threshold_er;
score = lit_save_total/er_part;
if (score > max_score) flag_continue = 1;
}
else if (score_mode == 6)
{
if (this_real_er_case1 == 0 && status == 0)
er_part = 1e+8;
else if (this_real_er_case1 == 0 && status == 1)
{
est_real_er_whole = cur_real_er_whole + exp_ratio - cur_real_er_whole * exp_ratio;
er_part = est_real_er_whole / (ini_threshold_er - est_real_er_whole);
}
else
{
est_real_er_whole = cur_real_er_whole + this_real_er_case1 - cur_real_er_whole * this_real_er_case1;
er_part = est_real_er_whole / (ini_threshold_er - est_real_er_whole);
}
score = lit_save_total / er_part;
if (real_em > 2) score = score/(log(real_em)/log(2));
if (score > max_score) flag_continue = 1;
}
else if (score_mode == 5)
{
if (this_real_er_case1 == 0 && status == 0)
score = lit_save_total * (1e+5);
else if (this_real_er_case1 == 0 && status == 1)
score = lit_save_total / (cur_real_er_whole+exp_ratio-cur_real_er_whole*exp_ratio);
else
score = lit_save_total / (cur_real_er_whole+this_real_er_case1-cur_real_er_whole*this_real_er_case1);
score = score / 0.1;
if (score > max_score) flag_continue = 1;
}
if (flag_continue)
{
double threshold_em_tmp = threshold_em;
if (this_real_er_case1 == 0 && status == 0)
{
this_ave_error_mag = cur_real_em_whole;
real_er_whole = cur_real_er_whole;
}
else
{
if (flag_threshold_em_tmp && max_score > 0 && score_mode == 6)
{
cout << "max_score = " << max_score << endl;
double em_part_threshold = lit_save / (er_part * max_score);
// threshold_em_tmp = est_real_er_whole * pow(2, em_part_threshold);
threshold_em_tmp = pow(2, em_part_threshold);
if (flag_add_const) threshold_em_tmp /= mul_const;
cout << "threshold_em_tmp = " << threshold_em_tmp << endl;
if (threshold_em_tmp > threshold_em) threshold_em_tmp = threshold_em;
}
real_aff_po_min = 1000;
real_aff_po_max = -1;
this_ave_error_mag = estimate_ave_error_mag_bdd(net, cnode, sub_abs_ckt, sub_abs_pi, sub_abs_po, this_min_modified_po, this_max_modified_po, final_org_pla, threshold_em_tmp, real_aff_po_min, real_aff_po_max, real_er_whole);
}
cout << "this_ave_error_mag = " << this_ave_error_mag << endl;
if (real_er_whole < ini_threshold_er && this_ave_error_mag <= threshold_em_tmp)
{
cout << "within threshold_em_tmp!" << endl;
if (score_mode == 3)
{
if (real_er_whole == 0) score = 1e+8;
else score = lit_save_total / real_er_whole;
}
else if (score_mode == 4)
{
if (real_er_whole == 0) score = 1e+8;
else
{
er_part = er_weight * real_er_whole / ini_threshold_er;
em_part = em_weight * (this_ave_error_mag/real_er_whole) / ini_threshold_em;
if (em_part < 0.05 * er_part)
{
cout << "unbalancing!" << endl;
score = lit_save_total/er_part;
}
else score = lit_save_total/(er_part + em_part);
cout << "er_part = " << er_part << ", em_part = " << em_part << endl;
}
}
else if (score_mode == 6)
{
if (real_er_whole == 0) score = lit_save * (1e+8);
else
{
er_part = real_er_whole / (ini_threshold_er - real_er_whole);
// em_part = log(this_ave_error_mag/real_er_whole)/log(2);
// if (em_part == 0) em_part = 0.5;
em_part = log(this_ave_error_mag)/log(2);
cout << "this_ave_error_mag = " << this_ave_error_mag << ", em_part = " << em_part << endl;
if (this_ave_error_mag <= 1)
{
em_part += log(10)/log(2);
if (!flag_add_const) flag_add_const = 1;
cout << "em_part = " << em_part << endl;
}
score = lit_save_total /(er_part * em_part);
}
}
else if (score_mode == 5)
score = lit_save_total / (real_er_whole * this_ave_error_mag);
cout << "this_score = " << score << ", max_score = " << max_score << endl;
struct score_pla can_sp;
can_sp.node = cnode;
can_sp.score = score;
can_sp.lit_save = lit_save_total;
can_sp.real_er = real_er_whole;
can_sp.max_weight = max_weight;
can_sp.ave_em = this_ave_error_mag;
can_sp.pla = final_org_pla;
can_sp.status = status;
can_sp.aff_po_min = min_modified_po;
can_sp.aff_po_max = max_modified_po;
score_record.insert(make_pair(score, can_sp));
if (score > max_score)
{
cout << "find new max_score, cnode = " << cnode << endl;
// cout << "er_part = " << er_part << ", em_part = " << em_part << endl;
cout << "lit_save_total = " << lit_save_total << ", real_er_whole = " << real_er_whole << ", ave_error = " << this_ave_error_mag << endl;
cout << "er_part = " << er_part << ", em_part = " << em_part << endl;
max_score = score;
max_sp = can_sp;
if (!status && this_real_er_case1 == 0)
{
if (pre_min_modified_po == 1000 && pre_max_modified_po == -1)
{
min_modified_po = 1000;
max_modified_po = -1;
}
}
}
}
}//if (flag_continue == 1)
else
cout << "max_score = " << max_score << ", less than max_score!" << endl;
}
cout << "case 2. make this whole factor become 1: " << endl;
string cdc(num_input, '-');
vector<string> org_cubes;
org_cubes.push_back(cdc);
all_exdc_minterms.clear();
minus_cubes(org_cubes, org_pla, all_exdc_minterms);
status = simu_real_er(all_exdc_minterms, dont_care_set, pattern_rate, this_real_er_case2);
cout << "this_real_er_case2 = " << this_real_er_case2 << ", threshold_er = " << threshold_er << endl;
cout << "er_margin = " << er_margin << endl;
if(this_real_er_case2 > er_margin)
cout << "!error rate is beyond er_margin" << endl;
else
{
cout << "!error rate is within er_margin" << endl;
if (this_real_er_case2 > real_er_max_cur) real_er_max_cur = this_real_er_case2;
if (this_real_er_case2/er_margin > 0.9) this_real_er_case2 *= pow(ratio_pen, ini_threshold_er/threshold_er);
//compute lit_save
sim_org_pla.clear();
final_org_pla.clear();
lit_save = get_save_new(net, cnode, 1, sim_org_pla, final_org_pla, iIndex);
//compute score using lit_save and this_real_er
flag_continue = 0;
lit_save_total = lit_save;
if (score_mode == 3)
{
if (this_real_er_case2 == 0 && status == 0)
score = lit_save_total * (1e+5);
else if (this_real_er_case2 == 0 && status == 1)
score = lit_save_total / (cur_real_er_whole+exp_ratio-cur_real_er_whole*exp_ratio);
else
score = lit_save_total / (cur_real_er_whole+this_real_er_case2-cur_real_er_whole*this_real_er_case2);
if (score > max_score) flag_continue = 1;
}
else if (score_mode == 4)
{
if (this_real_er_case2 == 0 && status == 0)
er_part = 1e-8;
else if (this_real_er_case2 == 0 && status == 1)
er_part = er_weight * (cur_real_er_whole+exp_ratio-cur_real_er_whole*exp_ratio)/ini_threshold_er;
else
er_part = er_weight * (cur_real_er_whole+this_real_er_case2-cur_real_er_whole*this_real_er_case2)/ini_threshold_er;
score = lit_save_total/er_part;
if (score > max_score) flag_continue = 1;
}
else if (score_mode == 6)
{
if (this_real_er_case2 == 0 && status == 0)
er_part = 1e+8;
else if (this_real_er_case2 == 0 && status == 1)
{
est_real_er_whole = cur_real_er_whole + exp_ratio - cur_real_er_whole * exp_ratio;
er_part = est_real_er_whole / (ini_threshold_er - est_real_er_whole);
}
else
{
est_real_er_whole = cur_real_er_whole + this_real_er_case2 - cur_real_er_whole * this_real_er_case2;
er_part = est_real_er_whole / (ini_threshold_er - est_real_er_whole);
}
score = lit_save_total / er_part;
if (real_em > 2) score = score/(log(real_em)/log(2));
if (score > max_score) flag_continue = 1;
}
else if (score_mode == 5)
{
if (this_real_er_case2 == 0 && status == 0)
score = lit_save_total * (1e+5);
else if (this_real_er_case2 == 0 && status == 1)
score = lit_save_total / (cur_real_er_whole+exp_ratio-cur_real_er_whole*exp_ratio);
else
score = lit_save_total / (cur_real_er_whole+this_real_er_case2-cur_real_er_whole*this_real_er_case2);
score = score / 0.1;
if (score > max_score) flag_continue = 1;
}
if (flag_continue)
{
double threshold_em_tmp = threshold_em;
if (this_real_er_case2 == 0 && status == 0)
{
this_ave_error_mag = cur_real_em_whole;
real_er_whole = cur_real_er_whole;
}
else
{
if (flag_threshold_em_tmp && max_score > 0 && score_mode == 6)
{
double em_part_threshold = lit_save_total / (er_part * max_score);
// threshold_em_tmp = est_real_er_whole * pow(2, em_part_threshold);
threshold_em_tmp = pow(2, em_part_threshold);
if (flag_add_const) threshold_em_tmp /= mul_const;
cout << "threshold_em_tmp = " << threshold_em_tmp << endl;
if (threshold_em_tmp > threshold_em) threshold_em_tmp = threshold_em;
}
real_aff_po_min = 1000;
real_aff_po_max = -1;
this_ave_error_mag = estimate_ave_error_mag_bdd(net, cnode, sub_abs_ckt, sub_abs_pi, sub_abs_po, this_min_modified_po, this_max_modified_po, final_org_pla, threshold_em_tmp, real_aff_po_min, real_aff_po_max, real_er_whole);
}
cout << "this_ave_error_mag = " << this_ave_error_mag << endl;
if (real_er_whole < ini_threshold_er && this_ave_error_mag <= threshold_em_tmp)
{
cout << "within threshold_em_tmp!" << endl;
/* if (this_ave_error_mag > ave_error_max) ave_error_max = this_ave_error_mag;
if (this_ave_error_mag < ave_error_min) ave_error_min = this_ave_error_mag;
if (real_er_whole > real_er_max) real_er_max = real_er_whole;
if (this_real_er_case2 < real_er_min) real_er_min = this_real_er_case2;
*/
if (score_mode == 3)
{
if (real_er_whole == 0) score = 1e+8;
else score = lit_save_total / real_er_whole;
}
else if (score_mode == 4)
{
if (real_er_whole == 0) score = 1e+8;
else
{
er_part = er_weight * real_er_whole / ini_threshold_er;
em_part = em_weight * (this_ave_error_mag/real_er_whole) / ini_threshold_em;
if (em_part < 0.05 * er_part)
{
cout << "unbalancing!" << endl;
score = lit_save_total/er_part;
}
else score = lit_save_total/(er_part + em_part);
cout << "er_part = " << er_part << ", em_part = " << em_part << endl;
}
}
else if (score_mode == 6)
{
if (real_er_whole == 0) score = lit_save * (1e+8);
else
{
er_part = real_er_whole / (ini_threshold_er - real_er_whole);
// em_part = log(this_ave_error_mag/real_er_whole)/log(2);
// if (em_part == 0) em_part = 0.5;
em_part = log(this_ave_error_mag)/log(2);
cout << "this_ave_error_mag = " << this_ave_error_mag << ", em_part = " << em_part << endl;
if (this_ave_error_mag <= 1)
{
em_part += log(mul_const)/log(2);
if (!flag_add_const) flag_add_const = 1;
cout << "em_part = " << em_part << endl;
}
score = lit_save_total /(er_part * em_part);
}
}
else if (score_mode == 5)
score = lit_save_total / (real_er_whole * this_ave_error_mag);
cout << "this_score = " << score << ", max_score = " << max_score << endl;
struct score_pla can_sp;
can_sp.node = cnode;
can_sp.score = score;
can_sp.lit_save = lit_save_total;
can_sp.real_er = real_er_whole;
can_sp.max_weight = max_weight;
can_sp.ave_em = this_ave_error_mag;
can_sp.pla = final_org_pla;
can_sp.status = status;
can_sp.aff_po_min = min_modified_po;
can_sp.aff_po_max = max_modified_po;
score_record.insert(make_pair(score, can_sp));
if (score > max_score)
{
cout << "find new max_score, cnode = " << cnode << endl;
cout << "lit_save_total = " << lit_save_total << ", real_er_whole = " << real_er_whole << ", ave_error = " << this_ave_error_mag << endl;
cout << "er_part = " << er_part << ", em_part = " << em_part << endl;
max_score = score;
max_sp = can_sp;
if (!status && this_real_er_case2 == 0)
{
if (pre_min_modified_po == 1000 && pre_max_modified_po == -1)
{
min_modified_po = 1000;
max_modified_po = -1;
}
}
}
}
}
else
cout << "max_score = " << max_score << ", less than max_score!" << endl;
}
break;
}//if(i == num_lit)
//case 3: lit_save != num_lit
int lit_save = i;
cout << endl << "##lit_save = " << i << endl;
double num_choice = (factorial(num_lit_org) / factorial(i) ) / factorial(num_lit_org - i);
int index_vec[num_lit];
int index_limit[num_lit];
set<int> over_er_index;
//initialize index_vec
int q = 0, p = 0;
for(int j = 0; j < i; j++)
{
index_vec[q++] = j;
index_limit[p++] = num_lit_org - i + j;
}
double num_total = 0;
int flag_ignore = 0;
while(num_total < num_choice)
{
//step1. obtain index_str
cout << endl << "**index_vec: ";
vector<string> node_vec;
for(int k = 0; k < lit_save; k++)
{
cout << index_vec[k];
itrm_ib = ini_leaf_set.find(index_vec[k]);
string node = itrm_ib->second->data;
node_vec.push_back(node);
}
cout << endl;
//step2. restore varilabes and containers
sim_org_pla.clear();
for(itrss = ini_current_inv_pla.begin(); itrss != ini_current_inv_pla.end(); itrss++)
sim_org_pla.push_back(*itrss);
leaf_set = ini_leaf_set;
index_inv_pla = ini_index_inv_pla;
node_index = ini_node_index;
btNode *root = new btNode;
root->parent = NULL;
copyTree(ini_root, root);
//step3. check this simplification
vector<string> add_pla;
set<string> delete_pla;
int lit_save = i;
int flag_reduce = 0;
int flag_same_node = 0;
ftime(&st1);
for(int k = 0; k < lit_save; k++)
{
int index;
string leaf_node;
if(k == 0)
{
index = index_vec[k];
leaf_node = node_vec[k];
}
else if(k > 0)
{
leaf_node = node_vec[k];
// cout << "leaf_node: " << leaf_node << endl;
int num_same = node_index.count(leaf_node);
if(num_same > 1)
{
cout << "same node appears more than once!" << endl;
flag_same_node = 1;
break;
}
else if(num_same == 0)
break;
else
{
itrmm_si = node_index.find(leaf_node);
index = itrmm_si->second;
}
}
itrm_ib = leaf_set.find(index);
btNode *leaf = itrm_ib->second;
itrm_iv = index_inv_pla.find(index);
vector<string> inv_pla = itrm_iv->second;
add_pla.clear();
delete_pla.clear();
btNode *parent = leaf->parent;
if(parent == NULL || parent->data == "+")
{
// cout << "remove node " << leaf->data << " by reducing: " << endl;
flag_reduce = 1;
}
else if(parent->data == "*")
{
// cout << "remove node " << leaf->data << " by expanding: " << endl;
//update add_pla
vector<string> exp_cubes;
string true_name;
int sign;
get_true_name(leaf->data, true_name, sign);
itrm_si = name_pos.find(true_name);
int pos = itrm_si->second;
for(int q = 0; q < inv_pla.size(); q++)
{
string cstr = inv_pla[q];
cstr[pos] = '-';
exp_cubes.push_back(cstr);
}
add_pla.insert(add_pla.end(), exp_cubes.begin(), exp_cubes.end());
}
//set delete_pla = inv_pla
for(int q = 0; q < inv_pla.size(); q++)
delete_pla.insert(inv_pla[q]);
//update sim_org_pla by removing delete_pla and add add_pla
sim_org_pla_tmp.clear();
for(int q = 0; q < sim_org_pla.size(); q++)
{
itrss = delete_pla.find(sim_org_pla[q]);
if(itrss == delete_pla.end())
sim_org_pla_tmp.push_back(sim_org_pla[q]);
}
sim_org_pla_tmp.insert(sim_org_pla_tmp.begin(), add_pla.begin(), add_pla.end());
sim_org_pla = sim_org_pla_tmp;
//update tree for this simplified factor
ftime(&st2);
int res = removeLeafNode(&root, leaf_node);
if(res) break;
if(k == lit_save - 1)
break;
map<int, btNode*> new_leaf_set;
int start_ind = 0;
visitleaf(root, new_leaf_set, start_ind);
comp_exp(&root);
leaf_set = new_leaf_set;
ftime(&et2);
double rt_tree = ((et2.time - st2.time)*1000 + (et2.millitm - st2.millitm))/1000.0;
// cout << "@runtime for update_tree: " << rt_tree << endl;
index_inv_pla.clear();
node_index.clear();
update_index_inv_pla(root, new_leaf_set, name_pos, num_input, index_inv_pla, node_index, current_inv_pla);
}//for(int k = 0; k < i; k++)
freeTree(root);
ftime(&et1);
double rt_step2 = ((et1.time - st1.time)*1000 + (et1.millitm - st1.millitm))/1000.0;
// cout << "@runtime for check_this_sim: " << rt_step2 << endl;
if (flag_same_node)
{
//update index_vec
num_total++;
int cindex = i - 1;
if(cindex < 0)
break;
while(index_vec[cindex] == index_limit[cindex])
{
cindex--;
if(cindex < 0)
break;
}
index_vec[cindex] += 1;
for(int k = cindex+1; k < i; k++)
index_vec[k] = index_vec[k-1] + 1;
continue;
}
//step4.If all removed nodes cause expansion, then check if this case can be ignored.
int flag_ignore = 0;
if(!flag_reduce)
for(int q = 0; q < lit_save; q++)
{
itrs0 = over_er_index.find(index_vec[q]);
if(itrs0 != over_er_index.end())
{
cout << "covers some node in over_er_index!" << endl;
flag_ignore = 1;
break;
}
}
if(flag_ignore)
{
//update index_vec
num_total++;
int cindex = i - 1;
if(cindex < 0)
break;
while(index_vec[cindex] == index_limit[cindex])
{
cindex--;
if(cindex < 0)
break;
}
index_vec[cindex] += 1;
for(int k = cindex+1; k < i; k++)
index_vec[k] = index_vec[k-1] + 1;
continue;
}
//step5. obtain exdc_cubes & sim_org_pla
ftime(&st1);
for(int q = 0; q < org_pla.size(); q++)
{
itrss = ini_current_inv_pla.find(org_pla[q]);
if(itrss == ini_current_inv_pla.end())
sim_org_pla.push_back(org_pla[q]);
}
exdc_cubes.clear();
find_diff_cubes(org_pla, sim_org_pla, exdc_cubes);
ftime(&et1);
double rt_step3 = ((et1.time - st1.time)*1000 + (et1.millitm - st1.millitm))/1000.0;
// cout << "@runtime for obtain_sim_pla: " << rt_step3 << endl;
//step6. compute this_real_er & obtain lit_save, score
double this_real_er_case3;
if(exdc_cubes.empty())
this_real_er_case3 = 0;
else
{
all_exdc_minterms.clear();
for(itrss = exdc_cubes.begin(); itrss != exdc_cubes.end(); itrss++)
{
string cube = *itrss;
exp_cube_set(cube, all_exdc_minterms);
}
}
status = simu_real_er(all_exdc_minterms, dont_care_set, pattern_rate, this_real_er_case3);
cout << "this_real_er_case3 = " << this_real_er_case3 << ", threshold_er = " << threshold_er << endl;
cout << "er_margin = " << er_margin << endl;
if (flag_round)
{
round_error_rate(this_real_er_case3, round_bit);
cout << "after round, this_real_er_case3 = " << this_real_er_case3 << endl;
}
if(this_real_er_case3 > er_margin)
{
cout << "!error rate is beyond er_margin" << endl;
if(lit_save == 1) over_er_index.insert(index_vec[0]);
}
// else if (flag_beyond && (ini_threshold_er-threshold_er) > beyond_ratio_1 * ini_threshold_er && this_real_er_case3 > beyond_ratio_2 * ini_threshold_er)
// cout << "real_er is beyond!" << endl;
else
{
cout << "!error rate is within er_margin" << endl;
if (this_real_er_case3 > real_er_max_cur) real_er_max_cur = this_real_er_case3;
if (this_real_er_case3/er_margin > 0.9) this_real_er_case3 *= pow(ratio_pen, ini_threshold_er/threshold_er);
if(sim_org_pla == org_pla)
{
cout << "sim_org_pla == org_pla" << endl;
score = -1;
}
else
{
//compute lit_save
final_org_pla.clear();
lit_save = get_save_new(net, cnode, this_real_er_case3, sim_org_pla, final_org_pla, iIndex);
//compute score using lit_save and this_real_er
flag_continue = 0;
lit_save_total = lit_save;
if (score_mode == 3)
{
if (this_real_er_case3 == 0 && status == 0)
score = lit_save_total * (1e+5);
else if (this_real_er_case3 == 0 && status == 1)
score = lit_save_total / (cur_real_er_whole+exp_ratio-cur_real_er_whole*exp_ratio);
else
score = lit_save_total / (cur_real_er_whole+this_real_er_case3-cur_real_er_whole*this_real_er_case3);
if (score > max_score) flag_continue = 1;
}
else if (score_mode == 4)
{
if (this_real_er_case3 == 0 && status == 0)
er_part = 1e-8;
else if (this_real_er_case3 == 0 && status == 1)
er_part = er_weight * (cur_real_er_whole+exp_ratio-cur_real_er_whole*exp_ratio)/ini_threshold_er;
else
er_part = er_weight * (cur_real_er_whole+this_real_er_case3-cur_real_er_whole*this_real_er_case3)/ini_threshold_er;
score = lit_save_total/er_part;
if (score > max_score) flag_continue = 1;
}
else if (score_mode == 6)
{
if (this_real_er_case3 == 0 && status == 0)
er_part = 1e+8;
else if (this_real_er_case3 == 0 && status == 1)
{
est_real_er_whole = cur_real_er_whole + exp_ratio - cur_real_er_whole * exp_ratio;
er_part = est_real_er_whole / (ini_threshold_er - est_real_er_whole);
}
else
{
est_real_er_whole = cur_real_er_whole + this_real_er_case3 - cur_real_er_whole * this_real_er_case3;
er_part = est_real_er_whole / (ini_threshold_er - est_real_er_whole) ;
}
score = lit_save_total / er_part;
if (real_em > 2) score = score/(log(real_em)/log(2));
if (score > max_score) flag_continue = 1;
}
else if (score_mode == 5)
{
if (this_real_er_case3 == 0 && status == 0)
score = lit_save_total * (1e+5);
else if (this_real_er_case3 == 0 && status == 1)
score = lit_save_total / (cur_real_er_whole+exp_ratio-cur_real_er_whole*exp_ratio);
else
score = lit_save_total / (cur_real_er_whole+this_real_er_case3-cur_real_er_whole*this_real_er_case3);