//---------- Begin of function Weather::init_date ----------//
//
void Weather::init_date(short year, short month, short day, short latitude, int quakeFreq)
{
// ----------- initialize random seed
seed = 2*year+1;
(void) rand_seed(10);
// ----------- calculate season_phase from month, day ------------//
season_phase = (short) ( month * 30.4 + day);
season_phase = (season_phase + 365 - 98) % 365; // 7th Mar becomes 0
// ----------- random number to earthquake -----------//
quake_frequency = quakeFreq;
day_to_quake = quakeFreq + rand_seed(quakeFreq);
// ----------- determine avg_temp and temp_amp from latitude
double angle = latitude * M_PI / 180.0;
avg_temp = (short)( 35.0 - fabs(latitude / 90.0 * 40.0));
temp_amp = (short)( 17.0 * sin(angle)); // negative for South Hemisphere
// ----------- determine cloud ----------- //
cur_cloud_str = rand_seed(4);
cur_cloud_len = 5 + rand_seed(5);
cur_cloud_type = 0;
// ----------- determine wind ---------------//
wind_dir = rand_seed(360);
wind_spd = 10;
high_wind_day = 0;
windy_speed = 0;
tornado_count = 1;
}
/*-------------------------------------------------------------------*/
void setup() {
/* Initialise LED and motors */
set_color(RGB(0,0,0));
set_motors(0,0);
/* Initialise random seed */
uint8_t seed = rand_hard();
rand_seed(seed);
/* Initialise the list of words ready for message sending. The word
index is contained in the first payload byte, while the
follwoing three bytes contain the randomly-chosen word */
int i;
for( i = 0; i < num_words; i++ ) {
words[i].data[0] = i;
words[i].type = NORMAL;
words[i].crc = message_crc(&words[i]);
}
/* Initialise motion variables */
set_motion( FORWARD );
last_motion_ticks = rand_soft() % max_straight_ticks + 1;
/* Initialise mng variables */
last_broadcast_ticks = rand_soft() % max_broadcast_ticks + 1;
}
void init_rand()
{
// rand_seed(current_time-s1, current_time, current_time+s3);
// rand_seed(s1, s2, s3);
rand_seed(randseed(),randseed(),randseed());
mudlog("Random number generator initialized.");
}
//-------- Begin of function Lightning::move_particle ----------//
void Lightning::move_particle()
{
// determine attraction
double attractionDist = dist(destx-x, desty-y);
if( attractionDist < v)
return;
double aX = a * (destx-x) / attractionDist;
double aY = a * (desty-y) / attractionDist;
// determine random component
double attractionAngle = atan2( desty-y, destx-x);
double randomAngle = ((rand_seed() & 255)/128.0-1.0)*wide+ attractionAngle;
double rX = r * cos(randomAngle);
double rY = r * sin(randomAngle);
// total
double tX = aX + rX;
double tY = aY + rY;
double distt = dist(tX, tY);
// move x and y, along tX, tY but the magnitude is v
if( distt > 0)
{
x += v * tX / distt;
y += v * tY / distt;
}
steps ++;
update_parameter();
}
int main()
{
int i, j, k, mk, s, N=20;
float x[200];
float tx[200];
int y[200];
float theta, mt;
rand_seed();
for(i=0;i<N;i++) {
x[i]=rand()%MODN*2/(float)MODN-1;
y[i]=SIGN(x[i]);
if(rand()%5==0) y[i]*=-1;
tx[i]=x[i];
}
qsort(tx, N, sizeof(float), cmp_f);
//for(i=0;i<N;i++) printf("%f %d\n", x[i], y[i]);
//for(i=0;i<N;i++) printf("%f\n", tx[i]);
mk=0;
for(i=0;i<N-1;i++) {
theta=(tx[i+1]+tx[i])/2;
k=0;
for(j=0;j<N;j++)
if(SIGN(x[j]-theta)*y[j] >0) k++;
if(k>mk) { mt=theta; mk=k; s=1; }
else if(N-k>mk) { mt=theta; mk=N-k; s=-1; }
}
//printf("%f %d %d\n", mt, s, mk);
printf("%f %f\n", 1-(float)mk/N, 0.5+0.3*s*(fabs(mt)-1));
}
int main()
{
int i, j, k, mk, s, N=20;
float x[200];
float tx[200];
int y[200];
float theta, mt;
rand_seed();
while(EOF!=scanf(" %f %d", x+i,y+i)) {
i++;
}
N=i;
for(i=0;i<N;i++) tx[i]=x[i];
qsort(tx, N, sizeof(float), cmp_f);
//for(i=0;i<N;i++) printf("%f %d\n", x[i], y[i]);
//for(i=0;i<N;i++) printf("%f\n", tx[i]);
mk=0;
for(i=0;i<N-1;i++) {
theta=(tx[i+1]+tx[i])/2;
k=0;
for(j=0;j<N;j++)
if(SIGN(x[j]-theta)*y[j] >0) k++;
if(k>mk) { mt=theta; mk=k; s=1; }
else if(N-k>mk) { mt=theta; mk=N-k; s=-1; }
}
printf("%f %d %d\n", mt, s, mk);
printf("%f %f\n", 1-(float)mk/N, 0.5+0.3*s*(fabs(mt)-1));
}
// ------ Begin of function SnowGroundArray::has_snow -------//
int SnowGroundArray::has_snow(short x, short y)
{
seed = (snow_pattern << 16) + (x+y+257)*(5*x+y+1);
(void) rand_seed();
long height = (rand_seed() & 0xffff) - (0xffff - snow_thick);
if( height <= 0)
return 0;
int snowGrade = height / SNOW_GRADE_FACTOR;
SnowInfo *snowInfo = snow_res[snow_res.rand_root(rand_seed()/4)];
for( ; snowGrade > 0; --snowGrade)
{
snowInfo = snowInfo->rand_next_ptr(rand_seed()/4);
}
return snowInfo->snow_map_id;
}
unsigned int rand_index(int top) {
if ( seed == 0 ) {
/* seed the generator */
rand_seed(0);
}
return (unsigned int)((1.0+top)*rand()/(RAND_MAX+1.0));
}
int main(int argc, char *argv[]) {
QApplication a(argc, argv);
rand_seed(); // seed random number generator
MainWindow view; // create main window
view.show(); // display main window
return a.exec(); // start Qt event loop
}
int main() {
cout << HEAD << endl << endl;
rand_seed();
vector<int> v(5);
for (int i = 0; i < v.size(); i++)
v[i] = rand_int(1, 100);
print(v);
selection_sort(v);
print(v);
return 0;
}
int
test_base_bitset(const char* param) {
rand_seed((uint32_t)time(NULL));
// bit create
int size = param ? atoi(param) : rand() % 1024;
bit_t* bit = bit_create(size);
if (!bit) {
fprintf(stderr, "bit create fail\n");
return -1;
}
// bit set
int test_size = (size >> 1);
for (int i = 0; i < test_size; ++ i) {
bit_set(bit, i);
}
// bit is set
for (int i = 0; i < size; ++ i) {
if (i < test_size && bit_isset(bit, i)) {
fprintf(stderr, "bit-set error\n");
bit_release(bit);
return -1;
}
if (i >= test_size && bit_isset(bit, i) == 0) {
fprintf(stderr, "bit-set error\n");
bit_release(bit);
return -1;
}
}
// bit count
if (bit_count(bit) != test_size) {
fprintf(stderr, "bit-count = %d error\n", bit_count(bit));
bit_release(bit);
return -1;
}
// bit reset -> bit count
for (int i = 0; i < test_size; ++ i) {
bit_reset(bit, i);
}
if (bit_count(bit) != 0) {
fprintf(stderr, "bit-count error\n");
bit_release(bit);
return -1;
}
bit_release(bit);
return 0;
}
int main()
{
rand_seed();
vector<int> v(20);
for (int i = 0; i < v.size(); i++)
v[i] = rand_int(1, 100);
print(v);
cout << "Enter number to search for: ";
int n;
cin >> n;
int j = linear_search(v, n);
cout << "Found in position " << j << "\n";
return 0;
}
static void *prob_new(void)
{
t_prob *x = (t_prob *)pd_new(prob_class);
x->x_translist = 0;
x->x_state = 0;
x->x_default = 0;
x->x_embedmode = 0; /* CHECKED */
x->x_silent = 0;
rand_seed(&x->x_seed, 0);
outlet_new((t_object *)x, &s_float);
x->x_bangout = outlet_new((t_object *)x, &s_bang);
x->x_filehandle = hammerfile_new((t_pd *)x, prob_embedhook, 0, 0, 0);
return (x);
}
void _benchmark_bigmatrix()
{
int round=1000000;
unsigned seed=rand_seed();
BENCHMARK_MATRIX rec1, rec2, rec3;
rec1.round=round;
rec2.round=round;
rec3.round=round;
// add
#ifdef BENCHMARK_MATRIX_ADD
mrand_init(seed);
_bm_matrix_op<wyc::xmatrix<float,R,C>,R,C,matrix_add<wyc::xmatrix<float,R,C> > >(round,rec1.tmatadd);
mrand_init(seed);
_bm_dynmat_op<Eigen::MatrixXf,R,C,matrix_add<Eigen::MatrixXf> >(round,rec2.tmatadd);
mrand_init(seed);
_bm_dynmat_op<arma::Mat<float>,R,C,matrix_add<arma::Mat<float> > >(round,rec3.tmatadd);
#endif // BENCHMARK_MATRIX_ADD
// mul
#ifdef BENCHMARK_MATRIX_MUL
mrand_init(seed);
_bm_matrix_op<wyc::xmatrix<float,R,C>,R,C,matrix_mul<wyc::xmatrix<float,R,C> > >(round,rec1.tmatmul);
mrand_init(seed);
_bm_dynmat_op<Eigen::MatrixXf,R,C,matrix_mul<Eigen::MatrixXf> >(round,rec2.tmatmul);
mrand_init(seed);
_bm_dynmat_op<arma::Mat<float>,R,C,matrix_mul<arma::Mat<float> > >(round,rec3.tmatmul);
#endif // BENCHMARK_MATRIX_MUL
// inverse
#ifdef BENCHMARK_MATRIX_INV
mrand_init(seed);
_bm_matrix_op<wyc::xmatrix<float,R,C>,R,C,wyc_inverse<wyc::xmatrix<float,R,C> > >(round,rec1.tmatinv);
mrand_init(seed);
_bm_dynmat_op<Eigen::MatrixXf,R,C,eigen_inverse<Eigen::MatrixXf> >(round,rec2.tmatinv);
// mrand_init(seed);
// _bm_dynmat_op<arma::Mat<float>,R,C,arma_inverse<arma::Mat<float> > >(round,rec3.tmatinv);
#endif // BENCHMARK_MATRIX_INV
printf("//-------------------------\n");
printf("// matrix %dx%d benchmark\n",R,C);
printf("//-------------------------\n");
rec1.report("wyc matrix");
rec2.report("eigne matrix");
rec3.report("arma matrix");
printf("\nbenchmark is done\n");
}
int main(void)
{
uint8_t addr;
hal_sysinit();
hal_watchdog_enable();
addr = hal_get_addr(); // device address from DIP switches
addr |= 0x00; // add the device class
uart_init(addr); // timeout affects collision recovery, use address
rand_seed(((uint16_t)addr << 8) | (uint16_t)addr);
timer_init(switch_tick, addr); // init with system-wide unique value
phc_init(input_cmd_start, input_payload, input_cmd_end);
input_init(addr);
input_mainloop();
return 0; // we won't get here
}
HashTable *squeal_ht_init()
{
HashTable *ht;
int i = 0;
ht = (HashTable *) malloc(sizeof(HashTable) + sizeof(squeal_ht_record) * DEFAULT_HASH_SIZE);
if (ht == NULL) {
fprintf(stderr, "squeal_ht_init: unable to allocate hashtable");
return NULL;
}
ht->ma.mask = DEFAULT_HASH_SIZE - 1;
ht->ma.filled = 0;
ht->ma.used = 0;
ht->pos = 0;
ht->seed = rand_seed(100);
/* Allocate the initial slots */
for (; i < DEFAULT_HASH_SIZE; i++) {
ht->rec[i] = (squeal_ht_record *) malloc(sizeof(squeal_ht_record));
if (ht->rec[i] == NULL) {
fprintf(stderr, "squeal_ht_init: Unable to allocate record");
int x = 0;
for (; x < i; x++) {
free(ht->rec[x]);
}
free(ht);
return NULL;
}
ht->rec[i]->id = (uint32_t) i;
ht->rec[i]->key = NULL;
ht->rec[i]->v.sval = NULL;
ht->rec[i]->v.ptr = NULL;
ht->rec[i]->is_used = 0;
}
return ht;
}
//-------- Begin of function Lightning::init ----------//
void Lightning::init(double fromX, double fromY, double toX, double toY,
char energy)
{
x = fromX;
y = fromY;
destx = toX;
desty = toY;
energy_level = energy;
v = 6.0;
expect_steps = (int)( dist(desty-y, destx-x) / v * 1.2);
if( expect_steps < 2 )
expect_steps = 2;
steps = 0;
a0 = a = 8.0;
r0 = r = 8.0 * a;
wide = PI / 4;
seed = (unsigned)(fromX + fromY + toX + toY) | 1;
(void) rand_seed();
}
result_t core_init(uint flags)
{
if (BIT_CHECK(flags, CORE_INIT_CRASHDUMP)) {
if (IS_FAIL(crash_init()))
return RET_FAIL;
}
if (IS_FAIL(mem_init(BIT_CHECK(flags, CORE_INIT_TRACEMEM))))
return RET_FAIL;
if (IS_FAIL(log_init()))
return RET_FAIL;
if (BIT_CHECK(flags, CORE_INIT_ERRORS)) {
if (IS_FAIL(err_init()))
return RET_FAIL;
}
rand_seed();
if (BIT_CHECK(flags, CORE_INIT_JSON)) {
if (IS_FAIL(json_init()))
return RET_FAIL;
}
if (BIT_CHECK(flags, CORE_INIT_FILEIO)) {
if (IS_FAIL(fio_initmgr()))
return RET_FAIL;
}
if (BIT_CHECK(flags, CORE_INIT_TIMER)) {
if (IS_FAIL(timer_initmgr()))
return RET_FAIL;
}
if (BIT_CHECK(flags, CORE_INIT_SOCKET)) {
if (IS_FAIL(sock_init()))
return RET_FAIL;
}
return RET_OK;
}
int
test_base_slist(const char* param) {
struct slist_t* sl = slist_create();
if (!sl) {
fprintf(stderr, "slist create fail\n");
return -1;
}
rand_seed(time(NULL));
int loop = param ? atoi(param) : 32;
int data[loop];
for (int i = 0; i < loop; ++ i) {
data[i] = (int)(rand_gen()) % loop;
int res = slist_push_front(sl, &data[i]);
CHECK(sl, res == 0, "slist push front fail");
res = slist_push_back(sl, &data[i]);
CHECK(sl, res == 0, "slist push back fail");
}
CHECK(sl, slist_size(sl) == 2 * loop, "slist size fail");
for (int i = loop - 1; i >= 0; -- i) {
int res = slist_find(sl, &data[i]);
CHECK(sl, res == 0, "slist find fail");
void* p = slist_pop_front(sl);
CHECK(sl, p == &data[i], "slist pop front fail");
p = slist_pop_back(sl);
CHECK(sl, p == &data[i], "slist pop back fail");
res = slist_find(sl, &data[i]);
CHECK(sl, res < 0, "slist find fail");
}
CHECK(sl, slist_size(sl) == 0, "slist size fail");
slist_release(sl);
return 0;
}
void *randomvals_new()
{
t_randomvals *x = (t_randomvals *)object_alloc(this_class);
t_atom list_atoms[3];
#ifdef MSP_VERSION
dsp_setup((t_pxobject *)x, 1);
outlet_new((t_object *)x, "signal");
#else
x->the_outlet = floatout(x);
#endif
rand_seed(&x->gen);
atom_setfloat(list_atoms + 0, 0.5);
atom_setfloat(list_atoms + 1, 1.);
atom_setfloat(list_atoms + 2, 1.);
randomvals_list(x, gensym("list"), 3, list_atoms);
return (x);
}
int main()
{
rand_seed();
cout << "Enter vector size: ";
int n;
cin >> n;
Time before;
const int ITERATIONS = 1000;
for (int i = 1; i <= ITERATIONS; i++)
{
vector<int> v(n);
for (int i = 0; i < v.size(); i++)
v[i] = rand_int(1, 100);
merge_sort(v, 0, v.size() - 1);
}
Time after;
cout << "Average elapsed time = "
<< after.seconds_from(before) * 1.0 / ITERATIONS << " seconds\n";
return 0;
}
static void initialize (void)
{
int i, j, k, w;
char b;
FILE *f;
if (!initialized)
{
f = fopen(RAND_FILE,"rb");
if (f==NULL)
{ fprintf(stderr,"Can't open file of random numbers (%s)\n",RAND_FILE);
exit(1);
}
for (i = 0; i<N_tables; i++)
{ for (j = 0; j<Table_size; j++)
{ w = 0;
for (k = 0; k<4; k++)
{ if (fread(&b,1,1,f)!=1)
{ fprintf(stderr,"Error reading file of random numbers (%s)\n",
RAND_FILE);
exit(1);
}
w = (w<<8) | (b&0xff);
}
rn[i][j] = w;
}
}
state = &state0;
initialized = 1;
rand_seed(1);
}
}
//------------------------------------------------
// Create large block write buffers.
//
static bool create_salters() {
if (! g_num_write_buffers) {
if (! (g_salters[0].p_buffer = cf_valloc(g_large_block_ops_bytes))) {
fprintf(stdout, "ERROR: large block write buffer cf_valloc()\n");
return false;
}
memset(g_salters[0].p_buffer, 0, g_large_block_ops_bytes);
g_num_write_buffers = 1;
return true;
}
uint8_t seed_buffer[RAND_SEED_SIZE];
if (! rand_seed(seed_buffer)) {
return false;
}
for (uint32_t n = 0; n < g_num_write_buffers; n++) {
if (! (g_salters[n].p_buffer = cf_valloc(g_large_block_ops_bytes))) {
fprintf(stdout, "ERROR: large block write buffer cf_valloc()\n");
return false;
}
if (! rand_fill(g_salters[n].p_buffer, g_large_block_ops_bytes)) {
return false;
}
if (g_num_write_buffers > 1) {
pthread_mutex_init(&g_salters[n].lock, NULL);
}
}
return true;
}
//---------- Begin of function Weather::next_day ----------//
//
void Weather::next_day()
{
season_phase = (season_phase + 1 )% 365;
//---------- update/determine earthquake day ---------//
if( day_to_quake)
{
day_to_quake--;
if ( is_quake() )
{
// generate quake_x, quake_y
quake_x = rand_seed(0x10000) * MAX_MAP_WIDTH / 0x10000;
quake_y = rand_seed(0x10000) * MAX_MAP_HEIGHT / 0x10000;
}
}
else
day_to_quake = quake_frequency + rand_seed(quake_frequency);
//---------- update wind ----------//
wind_dir = (wind_dir + rand_seed(5) ) % 360;
wind_spd += rand_seed(9) - 4 - (high_wind_day/16);
if( wind_spd < -10)
wind_spd = -10;
if( wind_spd > 110)
wind_spd = 110;
if( wind_spd >= 20 )
{
high_wind_day++;
}
else
{
high_wind_day--;
}
//---------- generate cloud --------//
if( cur_cloud_len > 0)
{
cur_cloud_len--;
}
else
{
short t = base_temp();
short maxCloudStr;
if( t >= 30)
maxCloudStr = 10;
else if( t <= 18)
maxCloudStr = 4;
else
maxCloudStr = (t -18)/2 + 4;
cur_cloud_str = rand_seed(maxCloudStr+4)-3; // range : -2 to maxCloudStr
if(cur_cloud_str < 0)
cur_cloud_str = 0;
cur_cloud_len = 2 + rand_seed(3) + rand_seed(3);
cur_cloud_type = 0;
// ------- summer weather
if( cur_cloud_str > 4)
{
if( (char) rand_seed(10) < cur_cloud_str )
cur_cloud_type |= RAIN_CLOUD;
if( cur_cloud_str >= 6 && (char) rand_seed(10) < cur_cloud_str-4)
cur_cloud_type |= WINDY;
}
if( cur_cloud_str <= 1 && t >= 30 && rand_seed(10) <= 1)
{
cur_cloud_type |= HOT_WAVE;
}
// ------- winter weather
if( t < 15)
{
if( rand_seed(20) < 2 )
cur_cloud_type |= COLD_WAVE;
if( t >= 10 && rand_seed(10) < 3)
cur_cloud_type |= WINDY;
if( t < 10 && rand_seed(10) < 7)
cur_cloud_type |= WINDY;
}
if( cur_cloud_type & WINDY)
windy_speed = 10 + cur_cloud_str * 5 + rand_seed(2*cur_cloud_str+1);
else
{
windy_speed = 0;
if( cur_cloud_str > 4 && (char)rand_seed(50) < cur_cloud_str + 2 )
cur_cloud_type |= LIGHTNING_CLOUD;
}
// ---- double the time of snow ------ //
if( snow_scale() )
cur_cloud_len += cur_cloud_len;
}
// -------- update tornado_count, at least 20 days between two tornadoes -------//
if( tornado_count > 20 && base_temp() >= 30 && wind_speed() >= 40
&& rand_seed(10)==0 )
{
tornado_count = 0; // today has a tornado
}
else
{
tornado_count++;
}
}
void rand_init() {
uint8_t buf[SEED_SIZE];
#if RAND == UDEV
int *fd = (int *)&(core_get()->rand);
*fd = open(RAND_PATH, O_RDONLY);
if (*fd == -1) {
THROW(ERR_NO_FILE);
}
#else
#if SEED == ZERO
memset(buf, 0, SEED_SIZE);
#elif SEED == DEV || SEED == UDEV
int fd, c, l;
fd = open(RAND_PATH, O_RDONLY);
if (fd == -1) {
THROW(ERR_NO_FILE);
}
l = 0;
do {
c = read(fd, buf + l, SEED_SIZE - l);
l += c;
if (c == -1) {
THROW(ERR_NO_READ);
}
} while (l < SEED_SIZE);
if (fd != -1) {
close(fd);
}
#elif SEED == LIBC
#if OPSYS == FREEBSD
srandom(1);
for (int i = 0; i < SEED_SIZE; i++) {
buf[i] = (uint8_t)random();
}
#else
srand(1);
for (int i = 0; i < SEED_SIZE; i++) {
buf[i] = (uint8_t)rand();
}
#endif
#elif SEED == WCGR
HCRYPTPROV hCryptProv;
if (!CryptAcquireContext(&hCryptProv, NULL, NULL, PROV_RSA_FULL,
CRYPT_VERIFYCONTEXT | CRYPT_SILENT)) {
THROW(ERR_NO_FILE);
}
if (hCryptProv && !CryptGenRandom(hCryptProv, SEED_SIZE, buf)) {
THROW(ERR_NO_READ);
}
if (hCryptProv && !CryptReleaseContext(hCryptProv, 0)) {
THROW(ERR_NO_READ);
}
#endif
#endif /* RAND == UDEV */
#if RAND != CALL
core_get()->seeded = 0;
rand_seed(buf, SEED_SIZE);
#else
rand_seed(NULL, NULL);
#endif
}
int main()
{
Config *config=NULL;
FileManager fm;
FileSet fs;
AdvancedScoreModel model;
EdgeModel edge_model;
PeptideRankScorer drs;
rand_seed(112233);
// train_all();
model.read_model("CID_IT_TRYP");
config = model.get_config();
config->apply_selected_PTMs("C+57:M+16:Q-17");
// fm.init_from_file(config,"C:\\Work\\msms5\\DnvScore\\all_ds\\HEK_98_3_unique_30.mgf");
fs.select_files_in_mz_range(fm,300,2000,3);
fs.randomly_reduce_ssfs(100);
vector<int> cc(4,0);
cc[3]=100;
fs.create_mgf_file(fm,config,"HEK_4_30e.mgf",cc);
exit(0);
// model.get_config()->apply_selected_PTMs("C+57:M+16:Q-17");
PMCSQS_Scorer *pmcsqs = (PMCSQS_Scorer *)model.get_pmcsqs_ptr();
fm.init_from_list_file(config,"C:\\Work\\msms5\\PepNovoHQ\\train3.txt");
pmcsqs->benchmark_pm_selection(config,fm,0.3);
exit(0);
/* benchmark_shew(model,"C:\\Work\\msms5\\PepNovoHQ\\Shew_test_10.mgf");
exit(0);
drs.set_model_type(0);
drs.read_denovo_rank_scorer_model("C:\\Work\\msms5\\PepNovoHQ\\Models\\DBSCORE\\DBSCORE_rank_model.txt");
drs.give_de_novo_and_peak_match_examples("C:\\Work\\msms5\\DnvScore\\all_db_hits",
"C:\\Work\\msms5\\DnvScore\\seq_freqs\\sequences",
"C:\\Work\\msms5\\DnvScore\\dnv_full_parts",
"C:\\Work\\msms5\\DnvScore\\dicty2_all.txt",
2,2);
exit(0);
drs.read_denovo_rank_scorer_model("C:\\Work\\msms5\\PepNovoHQ\\Models\\DBSCORE\\DBSCORE_rank_model.txt");
drs.rescore_inspect_results("C:\\Work\\msms5\\DnvScore\\inspect_res\\H293-40ul-08.mzXML",
"C:\\Work\\msms5\\DnvScore\\inspect_res\\H293-40ul-08.txt",
"C:\\Work\\msms5\\DnvScore\\inspect_res\\H293-40ul-08_new.txt");
exit(0);
// test_denovo_integrity(model,"C:\\Work\\msms5\\DnvScore\\all_ds\\Dicty_98_2_unique_8.mgf", 20000, 8);
// benchmark_ranking_on_denovo("C:\\Work\\msms5\\PepNovoHQ\\Models\\DNVSCORE5\\DNVSCORE5_rank_model.txt",
// "C:\\Work\\msms5\\DnvScore\\test\\DNVSCORE4_test_10.mgf",400,10); //
// benchmark_ranking_on_full_denovo("C:\\Work\\msms5\\PepNovoHQ\\Models\\DNVFULL\\DNVFULL_rank_model.txt",
// "C:\\Work\\msms5\\DnvScore\\test\\FULL_test_10.mgf",1000);
// exit(0);
fm.init_from_list_file(config,//"C:\\Work\\msms5\\DnvScore\\short2_train_mgf_list.txt");
"C:\\Work\\msms5\\DnvScore\\comp2_train_mgf_list.txt");
// "C:\\Work\\msms5\\NewScore\\lists\\Shew_98_3_unique_mgf_list.txt");
fs.select_files(fm,0,2500,-1,-1,2);
find_special_PTM_frags_using_offset_counts("S",fm,fs.get_ssf_pointers(),&model,2);
exit(0);
drs.read_denovo_rank_scorer_model("C:\\Work\\msms5\\PepNovoHQ\\Models\\DNVSC_RANK\\LTQ_DNVRANK_model.txt");
drs.test_model("C:\\Work\\msms5\\DnvScore\\test_sets\\LTQ_DNVRANK_test_10.mgf",2000);
drs.train_denovo_partition_model("C:\\Work\\msms5\\DnvScore\\all_db_hits",
"C:\\Work\\msms5\\DnvScore\\seq_freqs\\sequences",
"C:\\Work\\msms5\\DnvScore\\comp_all_parts",
// "C:\\Work\\msms5\\DnvScore\\short2_train_mgf_list.txt",
"C:\\Work\\msms5\\DnvScore\\comp2_train_mgf_list.txt",
2,
1,
30000,
5);
// model.read_model("ETD");
// config = model.get_config();
// config->apply_selected_PTMs("M+16:Q-17:N+1:C+57");
// fm.init_from_list_file(config,"C:\\Work\\msms5\\PepNovoHQ\\ETD2\\ETD_unique_train.txt");
// model.full_train_model("ETD",fm,0.5);
// model.train_pmc_rank_models("C:\\Work\\msms5\\PepNovoHQ\\ETD2\\ETD_all_train.txt");
// model.write_model();
exit(0);
// train_all();
// create_training_sets();
// exit(0);
// generate_size_reports();
// test_sims();
// data_set_stats();
// convert_list_to_trianing_peptide_file(
// "C:\\Work\\msms5\\NewScore\\lists\\Dicty_98_3_unique_mgf_list.txt",
// "C:\\Work\\msms5\\NewScore\\tps\\Dicty_98_3_unique_tps.txt");
// proline_cleavage_reports("b",2);
// exit(0);
// center_cleavage_reports("y",3);
// n_terminal_cleavage_reports("y",2);
// c_terminal_cleavage_reports("y",-2);
// find_best_similar_pairs("LTQ_LOW_TRYP",
// "C:\\Work\\msms5\\PepNovoHQ\\pairs\\HEK_pos2.mgf",
// "C:\\Work\\msms5\\PepNovoHQ\\pairs\\Shew_pos2.mgf",8);
// find_self_similarity("LTQ_LOW_TRYP",
// "C:\\Work\\msms5\\PepNovoHQ\\pairs\\HEK_pos2.mgf",
// "C:\\Work\\msms5\\PepNovoHQ\\pairs\\Shew_pos2.mgf");
// find_similar_pairs_ditrib("LTQ_LOW_TRYP",
// "C:\\Work\\msms5\\PepNovoHQ\\pairs\\HEK_pos2.mgf",
// "C:\\Work\\msms5\\PepNovoHQ\\pairs\\Shew_pos2.mgf");
// find_homeometric_similarity_distrib("LTQ_LOW_TRYP",
// "C:\\Work\\msms5\\PepNovoHQ\\pairs\\HEK_pos2.mgf",
// "C:\\Work\\msms5\\PepNovoHQ\\pairs\\Shew_pos2.mgf");
// find_self_similarity_ranges("LTQ_LOW_TRYP",
// "C:\\Work\\msms5\\PepNovoHQ\\pairs\\SHEW18.mgf");
// peptide_distances();
// find_matches_similarity_distrib("LTQ_LOW_TRYP",
// "C:\\Work\\msms5\\PepNovoHQ\\pairs\\HEK_pos2.mgf",
// "C:\\Work\\msms5\\PepNovoHQ\\pairs\\Shew_pos2.mgf");
// match_sim_exp();
// exit(0);
// edge_model.train_all_edge_models("C:\\Work\\clust_exp\\LTQ_train2_ann_list.txt","LTQ",2);
// saa.train_saa_models("C:\\Work\\clust_exp\\LTQ_train2_ann_list.txt","LTQ",2);
// saa.train_saancd_models("C:\\Work\\clust_exp\\LTQ_train2_ann_list.txt","LTQ",2);
// daa.train_daa_models("C:\\Work\\clust_exp\\LTQ_train2_ann_list.txt","LTQ",2,0.25);
// daa.train_daancd_model("C:\\Work\\clust_exp\\LTQ_train2_ann_list.txt","LTQ",2);
// dot_prod_exp();
// qc_exp();
// qc_ann_exp("64068",true);
// exit(0);
config = model.get_config();
config->init_with_defaults();
config->apply_selected_PTMs("M+16:Q-17:N+1:C+57");
fm.init_from_file(config,"C:\\Work\\msms5\\PepNovoHQ\\ETD\\train_etd.mgf");
model.full_train_model("ETD",fm,0.5);
exit(0);
if (1)
{
model.read_model("LTQ_LOW_TRYP");
// model.get_config()->apply_selected_PTMs("C+57:M+16");
// model.get_config()->init_with_defaults();
model.get_config()->apply_selected_PTMs("M+16:C+57:Q-17");
// model.test_pmc("C:\\Work\\msms5\\PepNovoHQ\\pmcsqs\\sqs_train_1.mgf",1);
// model.compute_sqs_cum_stats_for_ided("C:\\Work\\msms5\\NewScore\\lists\\all_HEK_mgf_list.txt");
// model.compute_sqs_cum_stats_for_crap("C:\\Work\\msms5\\PepNovoHQ\\pmcsqs\\crap_list.txt");
// model.write_model();
model.compute_sqs_cum_stats_for_ided("C:\\Work\\msms5\\PepNovoHQ\\pmcsqs\\H40good\\H40good_mgf_list.txt");
/// model.benchmark_sqs("C:\\Work\\msms5\\PepNovoHQ\\small_list.txt",
// "C:\\Work\\msms5\\PepNovoHQ\\small_anns.txt");
// model.benchmark_sqs("C:\\Work\\msms5\\PepNovoHQ\\tmp\\H40ul_0_list.txt",
// "C:\\Work\\msms5\\PepNovoHQ\\H40ul55_missed.txt");
// "C:\\Work\\msms5\\PepNovoHQ\\pmcsqs\\H40ul98_anns.txt");
exit(0);
DAT_Converter dat;
dat.create_dat_files_for_anns(model.get_config(),
"C:\\Work\\Data\\Briggs\\HEK293\\40ul_list.txt",
// "C:\\Work\\msms5\\PepNovoHQ\\pmcsqs\\H40ul98_anns.txt",
"C:\\Work\\msms5\\PepNovoHQ\\H40ul55_missed.txt",
"C:\\Work\\msms5\\PepNovoHQ\\tmp\\",
"H4055");
//
// model.train_pmc_rank_models(
// "C:\\Work\\msms5\\NewScore\\lists\\HEK_98_1_unique_mgf_list.txt",0);
// "C:\\Work\\msms5\\NewScore\\lists\\all_unique_mgf_list.txt",0);
// "C:\\Work\\msms5\\NewScore\\lists\\all_HEK_mgf_list.txt",0);
// model.write_model();
// make_before_and_after_matrices(model.get_config(),"C:\\Work\\msms5\\lists\\mgf10.txt",3,"y");
exit(0);
FileManager fm;
fm.init_from_list_file(model.get_config(),"C:\\Work\\msms5\\lists\\LTQ_train_list.txt");
model.full_train_model("LTQ_IT_TRYP",fm,0.45);
model.write_model();
// model.train_pmc("C:\\Work\\msms5\\lists\\pos_sqs_list.txt");
vector< vector<float> > weights;
weights.resize(4);
weights[1].resize(3,0);
weights[2].resize(3,0);
weights[3].resize(3,0);
weights[1][0] = 0.1; weights[1][1] = 0.1; weights[1][2] = 0.4;
weights[2][0] = 0.6; weights[2][1] = 0.75; weights[2][2] = 0.5;
weights[3][0] = 0.3; weights[3][1] = 0.15; weights[3][2] = 0.1;
// model.train_sqs("C:\\Work\\msms5\\lists\\pos_sqs_list.txt",
// "C:\\Work\\msms5\\lists\\neg_sqs_list.txt",&weights);
// model.train_sqs("C:\\Work\\msms5\\NewScore\\lists\\all_unique_mgf_list.txt",
// "C:\\Work\\msms5\\PepNovoHQ\\pmcsqs\\crap_list.txt",&weights);
// config = model.get_config();
// config->set_tolerance(0.5);
//
// find_pair_similarities(config,"C:/Work/clust_exp/Results/Shew_bm/ShewBM40_0_1.mgf",
// "C:/Work/clust_exp/Results/Shew_bm/ShewBM40_pairs.txt");
exit(0);
}
// make_y_vectors("C:\\Work\\msms5\\PepNovoHQ\\pmcsqs\\sqs10_train_2.mgf",&model);
// create_training_files(config);
// exit(0);
if (0)
{
PMCSQS_Scorer sqs;
// exit(0);
// create_training_files(config);
exit(0);
}
if (1)
{
// fm.init_from_file(model.get_config(),"C:\\Work\\msms5\\PepNovoHQ\\orbi_ann.mgf");
// create_MSB_query_for_file_list(fm,&model);
vector< vector<int> > annotation_idxs;
vector<mzXML_annotation> annotations;
read_mzXML_annotations("C:/Work/Data/Briggs/HEK293_mzxml_list.txt",
"C:/Work/ClusterAnn/mzxml_anns3.txt", annotation_idxs, annotations, 35000);
// read_mzXML_annotations("C:/Work/ClusterAnn/H40ul_mgf_list.txt",
// "C:/Work/ClusterAnn/mgf_anns.txt", annotation_idxs, annotations, 35000);
cout << "Read annotations: " << annotations.size() << endl;
fm.init_from_list_file_and_add_annotations(config,"C:/Work/Data/Briggs/HEK293_mzxml_list.txt",
annotation_idxs, annotations,true);
// fm.init_from_list_file_and_add_annotations(config,"C:/Work/ClusterAnn/H40ul_mgf_list.txt",annotation_idxs,
// annotations,true);
FileSet all_spec_fs;
all_spec_fs.select_all_files(fm,true);
// config->set_need_to_normalize(0);
// all_spec_fs.create_MGF_file(fm,config,"C:/Work/ClusterAnn/mgf_spectra.mgf");
// exit(0);
ofstream mgf_stream("C:/Work/ClusterAnn/mzxml_spectra3.mgf",ios::out);
BasicSpecReader bsr;
const vector<SingleSpectrumFile *>& ssfs = all_spec_fs.get_ssf_pointers();
int i;
for (i=0; i<ssfs.size(); i++)
{
static QCPeak peaks[5000];
BasicSpectrum bs;
MZXML_single *ssf = (MZXML_single *)ssfs[i];
bs.peaks = peaks;
bs.ssf = ssf;
ostringstream oss;
oss << ssf->file_idx << " " << ssf->scan_number;
ssf->single_name = oss.str();
bs.num_peaks = bsr.read_basic_spec(config,fm,ssf,peaks);
if (ssf->scan_number<0)
{
cout << "Error: no scan number read from mzXML!!!" << endl;
exit(1);
}
cout << "scan: " << ssf->scan_number << " " << bs.num_peaks << endl;
bs.output_to_mgf(mgf_stream,config);
// bs.output_to_mgf(cout,&config);
}
//all_spec_fs.create_MGF_file(fm,config,"C:/Work/ClusterAnn/mzxml_spectra.mgf");
// extractMZFromFiles(model.get_config(),,"C:/Work/Data/Briggs/HEK293/H29340ul_mz.txt");
//
exit(0);
}
if (1)
{
model.read_model("LTQ_LOW_TRYP");
config = model.get_config();
config->apply_selected_PTMs("C+57 M+16");
config->set_tolerances(0.5);
config->set_pm_tolerance(2.5);
config->set_digest_type(TRYPSIN_DIGEST);
config->set_max_number_peaks_per_local_window(15);
// fm.init_from_list_file(config,"C:\\Work\\clust_exp\\LTQ_train2_ann_list.txt");
// fm.init_from_list_file(config,"C:\\Work\\msms5\\lists\\LTQ_train_list.txt");
// fm.init_from_list_file(config,"C:\\Work\\msms5\\lists\\orbi_train.txt");
// edge_model.train_all_edge_models(fm,&model);
// tm.train_models(fm,&model);
// fm.init_from_list_file(config,"C:\\Work\\clust_exp\\ShewMGF\\BM2000_ann_list.txt");
// make_frag_rank_histogram(fm,config);
// exit(0);
// benchmark_k_value(config,"C:\\Work\\clust_exp\\ShewMGF\\BM2000_ann_list.txt");
// make_benchmark_clustering_dataset(config, "C:\\Work\\clust_exp\\ShewMGF\\AnnsPlus_ann_list.txt",
// 600, 750, false, "C:\\Work\\clust_exp\\ShewMGF\\", "BMNEW");
// exit(0);
benchmark_clustering_performance(config,
"C:\\Work\\clust_exp\\ShewMGF\\BM2000_ann_list.txt",15);
// print_dataset_spectra_by_stats(config,"C:\\Work\\clust_exp\\ann_mgf\\Sings_1.mgf");
// benchmark_top7_and_sim_thresh(config,"C:\\Work\\clust_exp\\tmp\\H293_40ul_list.txt",
// "C:\\Work\\clust_exp\\Results\\BM40ul\\BM40ul_anns.txt");
// benchmark_heuristic_filtering(config,"C:\\Work\\clust_exp\\tmp\\H293_40ul_list.txt");
// benchmark_retention_thresh(config,"C:\\Work\\clust_exp\\tmp\\H293_40ul_list.txt",
// "C:\\Work\\clust_exp\\Results\\BM40ul\\BM40ul_anns.txt");
exit(0);
FileManager fm;
// fm.init_from_mgf(config,"C:\\Work\\clust_exp\\ShewMGF\\OnlyAnn_1.mgf");
// make_specified_benchmark_clustering_dataset(config,"C:\\Work\\clust_exp\\ShewMGF\\both_list.txt",400,1000,
// "C:\\Work\\clust_exp\\ShewMGF\\","BM3000",3000,10,0);
make_benchmark_clustering_dataset(config, "C:\\Work\\clust_exp\\ShewMGF\\AnnsPlus_ann_list.txt",
800, 1200, true, "C:\\Work\\clust_exp\\ShewMGF\\", "AnnOnly");
exit(0);
ann_mgf_and_create_mgf_with_sim_masses(config,"K:\\Work\\Data\\Shewenella\\FT_anns.txt",
"K:\\Work\\Data\\Shewenella\\FT_mgf_list.txt",
"K:\\Work\\Data\\Shewenella\\FT_peptides.txt",
"C:\\Work\\clust_exp\\ShewMGF\\",
"AnnsPlus");
exit(0);
ann_mgf_and_create_mgf(config,"C:\\Work\\Data\\FT_mgf\\FT_single_anns.txt",
"C:\\Work\\Data\\FT_mgf\\FT_single_mgf.txt",
"C:\\Work\\clust_exp\\ShewMGF\\",
"Single",true);
exit(0);
ann_mgf_and_create_mgf(config,"C:\\Work\\Data\\FT_mgf\\FT_anns.txt",
"C:\\Work\\Data\\FT_mgf\\FT_mgf_list.txt",
"C:\\Work\\clust_exp\\ShewMGF\\",
"OnlyAnn",true);
exit(0);
// create_16O_18O_dataset("C:\\Work\\msms5\\lists\\p19_list.txt",config);
// exit(0);
// config->set_need_to_estimate_pm(0);
model.clone_charge_model(2,1);
model.clone_charge_model(2,3);
model.clone_charge_model(2,4);
model.clone_charge_model(2,5);
// dataset_eval(&model,"C:\\Work\\msms5\\lists\\CAD_376.txt",0.05);
// dataset_eval(&model,"C:\\Work\\msms5\\lists\\ann_qtof_list.txt",0.1);
// dataset_eval(&model,"C:\\Work\\msms5\\lists\\list280_mgf.txt",0.6);
vector<int> set_sizes;
vector<float> probs;
denovo_sequencing_and_aa_probs(&model,"C:\\Work\\msms5\\lists\\m280_list.txt",
set_sizes,probs,2);
// denovo_sequencing_and_aa_probs(&model,"C:\\Work\\clust_exp\\LTQ_train2_ann_list.txt",
// set_sizes,probs,2);
//
// output_denovo_results(&model,"C:\\Work\\msms5\\lists\\LTQ-FT_mgf_list.txt");
// denovo_sequencing_and_aa_probs(&model,"C:\\Work\\msms5\\lists\\LTQ-FT_mgf_list.txt",
// set_sizes,probs, 2);
exit(0);
// print_specs(model.get_config(), "C:\\Work\\msms5\\lists\\one_mzxml.txt");
// check_m_over_z(&model,"C:\\Work\\msms5\\lists\\CoCl345sann_ann_list.txt");
// calc_parent_mass_tolerance_distribution(&model, "C:\\Work\\msms5\\lists\\ann_mgf_list.txt" , 0.6, 0.98);
// calc_tolerance_distribution(&model,"C:\\Work\\msms5\\lists\\ann_mgf_list.txt", 0.6, 0.95);
// perfrom_inital_evalutation("C:\\Work\\msms5\\lists\\ann_mgf_list.txt",0.5,2,0.05);
// denovo_sequencing_results(&model,"C:\\Work\\msms5\\lists\\CAD_376.txt" ,0.0075);
// denovo_sequencing_results(&model,"C:\\Work\\msms5\\lists\\ann_qtof_list.txt",0.1);
// denovo_sequencing_results(&model,"C:\\Work\\msms5\\lists\\ann_orbi_list.txt",0.008);
// perfrom_inital_evalutation("C:\\Work\\msms5\\lists\\ann_qtof_list.txt",0.2,2,0.05);
// perfrom_inital_evalutation("C:\\Work\\msms5\\lists\\ann_orbi_list.txt",0.025,2,0.05);
// calc_tolerance_distribution(&model,"C:\\Work\\msms5\\lists\\ann_qtof_list.txt",0.1,0.95);
// calc_tolerance_distribution(&model,"C:\\Work\\msms5\\lists\\ann_orbi_list.txt",0.1,0.95);
// calc_tolerance_distribution(&model,"C:\\Work\\msms5\\lists\\CAD_376.txt",0.1,0.95);
// calc_tolerance_distribution(&model,"C:\\Work\\Data\\Omics04\\omics_ann_list.txt",0.75,0.95);
// calc_parent_mass_tolerance_distribution(&model,"C:\\Work\\msms5\\lists\\ann_qtof_list.txt",0.1,0.975);
// calc_parent_mass_tolerance_distribution(&model,"C:\\Work\\msms5\\lists\\ann_orbi_list.txt",0.1,0.975);
// calc_parent_mass_tolerance_distribution(&model,"C:\\Work\\msms5\\lists\\CAD_376.txt",0.1,0.975);
exit(0);
// fm.init_from_mgf(config,"C:\\Work\\msms4\\PepNovo\\test\\m280.mgf");
// fm.init_from_list_file(config,"C:\\Work\\msms5\\lists\\good_list2.txt");
// fm.init_from_list_file(config,"C:\\Work\\msms5\\lists\\p215.txt");
// fm.init_from_list_file(config,"C:\\Work\\Data\\Omics04\\omics_ann_list.txt");
// fm.init_from_list_file(config,"C:\\Work\\msms5\\lists\\omics_mgf_list.txt");
// fm.init_from_mgf(config,"C:\\Work\\msms5\\PepNovoHQ\\Omics04Spectra.mgf");
// fm.init_from_list_file(config,"C:\\Work\\msms5\\lists\\omics02_dta.txt");
// FileSet fs;
// fs.select_all_files(fm);
// fs.sort_according_to_m_over_z();
// fs.create_MGF_file(fm,config,"Omics02Spectra.mgf");
// exit(0);
// collect_denovo_statistics(fm,&model);
// denovo_histograms(fm,&model);
// config->set_tolerance(0.0075);
// random_check_homemorphic(config,50000,25);
// create_spectrum_clusters(config,"C:\\Work\\msms5\\lists\\Drosophila_list.txt",".","cc",0,5E6,0,1E6);
// create_spectrum_clusters(config,"C:\\Work\\msms5\\lists\\Dros_short.txt",".","cc",0,1E6,0,1E6);
// create_spectrum_clusters(config,"C:\\Work\\msms5\\lists\\all_clust.txt","clust_out","ikkb",0,5E6,0,1E6);
// create_spectrum_clusters(config,"C:\\Work\\msms5\\lists\\omics_mgf_list.txt","clust_out",
// "Omics04b",0,5E6,0,1E6);
// create_spectrum_clusters(config,"C:\\Work\\msms5\\lists\\omics02_mgf_list.txt","clust_out",
// "Omics02",0,5E6,0,1E6);
// create_spectrum_clusters(config,"C:\\Work\\msms5\\PepNovoHQ\\clust_out2\\h293_dat_list.txt",
// "clust_out2","H293b_2nd_digest_abd3",0,5E6,1938.76,1E6,2);
// create_spectrum_clusters(config,"C:\\Work\\msms5\\PepNovoHQ\\clust_out\\h29s_list.txt","clust_out",
// "xxxx",0,5E6,835.397,1E6,2);
exit(0);
DAT_Converter dat;
dat.init_DAT_Converter(2000,25,1048576);
exit(0);
}
// config->add_selected_PTMs("C+57 M+16 S+80 T+80 Y+80 N+1 Q+1 K+42 D+16 K+16 P+16 N+16");
// config->set_tolerances(0.0075);
// config->set_pm_tolerance(0.011);
// fdb.create_db_from_fasta("C:\\Work\\msms5\\PepNovoHQ\\DB\\contaminants.fasta",config);
// fdb.create_db_from_fasta("C:\\Work\\msms5\\PepNovoHQ\\DB\\Homo_sapiens.NCBI35.dec.pep.fa",config);
// fdb.create_db_from_fasta("C:\\Work\\msms5\\PepNovoHQ\\DB\\fa50mb.fa",config,true,5,6);
// fdb.create_db_from_fasta("C:\\Work\\msms5\\PepNovoHQ\\DB\\homo_pos.fa",config);
// fdb.print_protein_names();
// fdb.write_FastaDB("C:\\Work\\msms5\\PepNovoHQ\\DB\\h**o.dat");
// fdb.read_FastaDB("C:\\Work\\msms5\\PepNovoHQ\\DB\\h**o.dat",config);
// fdb.read_FastaDB("C:\\Work\\msms5\\PepNovoHQ\\DB\\qqq.dat",config);
// fdb.read_FastaDB("C:\\Work\\msms5\\PepNovoHQ\\DB\\fa500k.dat",config);
// fdb.print_protein_names();
// fdb.write_FastaDB("C:\\Work\\msms5\\PepNovoHQ\\DB\\fa5--0mb.dat");
// exit(0);
// fm.init_from_list_file(config,"C:\\Work\\msms5\\lists\\CAD_seq_list.txt");
// fm.init_from_list_file(config,"C:\\Work\\msms5\\lists\\CAD_u_list.txt");
fm.init_from_list_file(config,"C:\\Work\\msms5\\lists\\CAD_376.txt");
// make_bin_histograms(fm,config);
// calc_avg_rand(fm,config);
// explore_fragment_set(fm,config);
// show_occurences(fm,config,"p-25.0");
// find_internal_offset_counts(fm,config);
// make_frag_rank_histogram(fm,config);
// exit(0);
// internal_fragment_annotation(fm,model.get_config());
// find_internal_offset_counts(fm,model.get_config());
// exit(0);
FileSet fs;
fs.select_all_files(fm);
fstream ofs("true_seq.txt",ios::out);
fs.make_fasta_from_file_seqs(fm,config,45,ofs);
// dbsm.train_regression_models(fm,fdb,12,&model);
// analyze_cad_spec(fm,config);
// make_rank_histograms(fm,&model);
// dbsm.read_model("DBS.txt");
// CAD_histograms(fm,&model,fdb,&dbsm);
// rand_db_stats(fm,&model,&dbsm);
// db_search_stats(fm,&model,&dbsm);
// neg_db_search_stats(fm,&model,&dbsm);
// CAD_edge_stats(fm,&model);
// CAD_denovo_histograms(fm,&model,fdb);
// CAD_edge_stats(fm,&model);
// collect_denovo_statistics(fm,&model);
exit(0);
// int *arr;
// int t_size;
// read_fasta("cshort.fasta",&arr,&t_size,&config);
// read_fasta("C:\\Work\\msms4\\PepNovo\\Homo_sapiens.NCBI35.dec.pep.fa",&arr,&t_size,config);
read_fasta("Homo_sapiens.NCBI35.dec.pep.fa",&arr,&t_size,&config);
read_fasta("Homo_sapiens.NCBI35.dec.pep.fa",&arr,&t_size,&config);
read_fasta("Homo_sapiens.NCBI35.dec.pep.fa",&arr,&t_size,&config);
read_fasta("Homo_sapiens.NCBI35.dec.pep.fa",&arr,&t_size,&config);
read_fasta("Homo_sapiens.NCBI35.dec.pep.fa",&arr,&t_size,&config);
read_fasta("Homo_sapiens.NCBI35.dec.pep.fa",&arr,&t_size,&config);
// homeomorphic_levels(&config,arr,t_size,1000.0,1001,"hp_res.txt");
config->set_tolerance(0.0075);
// full_exp(config,0,arr,t_size,"hp_res_dis_a0.txt");
// full_exp(config,1,arr,t_size,"hp_res_dis_a1.txt");
// full_exp(config,2,arr,t_size,"hp_res_dis_a2.txt");
// full_exp(config,3,arr,t_size,"hp_res_dis_a3.txt");
// full_exp(config,4,arr,t_size,"hp_res_dis_a4.txt");
// homeomorphic_exp3(&config,100);
// exit(0);
// config.print_supported_PTMs();
// config.print_session_aas();
string p;
// ifstream fs("D:\\msms4\\PepNovo\\test\\C25A19_IP_01.mgf",ios::in);
// ifstream fs("D:\\msms4\\PepNovo\\test\\m280.mgf",ios::in);
// fm.init_from_mgf(&config,"D:\\msms4\\PepNovo\\test\\m280.mgf");
// fm.init_from_mgf(&config,"D:\\msms4\\PepNovo\\mgf_2600.2.mgf");
// fm.init_from_list_file(&config,"D:\\msms4\\lists\\unique_good2.txt");
// fm.init_from_list_file(&config,"D:\\msms4\\lists\\short2.txt");
// fm.init_from_list_file(&config,"D:\\Data2\\ikkb_unmod_list.txt");
// rand_seed(1111);
rand_seed(1426347);
// model.read_model("ESI_RANKS");
// model.get_config()->add_selected_PTMs("C+57");
// SpectrumScore sqs;
// sqs.learn_score_params(&model,"D:\\msms4\\lists\\sqs2_short.txt",
// "D:\\msms4\\lists\\sqs_neg1.txt");
// exit(0);
// model.set_model_name(string("ESI2"));
// random_peak_match_exp(model.get_config(),fm,800,1200,10000000);
// model.print_joint_scores();
// me_reg_exp();
// me_exp();
// exit(0);
// fm.init_from_mgf(model.get_config(),"c:\\work\\msms4\\PepNovo\\test\\m280.mgf");
// fm.init_from_mgf(model.get_config(),"c:\\work\\msms4\\PepNovo\\hpep.mgf");
fm.init_from_list_file(config,"c:\\Work\\msms4\\lists\\efast2.txt");
// fm.init_from_list_file(&config,"D:\\msms4\\lists\\charge2.txt");
//m.init_from_list_file(model.get_config(),"C:\\Work\\msms4\\PepNovo\\lll.txt");
//m.init_from_list_file(model.get_config(),"D:\\msms4\\lists\\l1.txt");
*/
return 0;
}
void make_ldpc
( int seed, /* Random number seed */
make_method method, /* How to make it */
distrib *d, /* Distribution list specified */
int no4cycle /* Eliminate cycles of length four? */
)
{
mod2entry *e, *f, *g, *h;
int added, uneven, elim4, all_even, n_full, left;
int i, j, k, t, z, cb_N;
int *part, *u;
rand_seed(10*seed+1);
H = mod2sparse_allocate(M,N);
part = column_partition(d,N);
/* Create the initial version of the parity check matrix. */
switch (method)
{
case Evencol:
{
z = 0;
left = part[z];
for (j = 0; j<N; j++)
{ while (left==0)
{ z += 1;
if (z>distrib_size(d))
{ abort();
}
left = part[z];
}
for (k = 0; k<distrib_num(d,z); k++)
{ do
{ i = rand_int(M);
} while (mod2sparse_find(H,i,j));
mod2sparse_insert(H,i,j);
}
left -= 1;
}
break;
}
case Evenboth:
{
cb_N = 0;
for (z = 0; z<distrib_size(d); z++)
{ cb_N += distrib_num(d,z) * part[z];
}
u = chk_alloc (cb_N, sizeof *u);
for (k = cb_N-1; k>=0; k--)
{ u[k] = k%M;
}
uneven = 0;
t = 0;
z = 0;
left = part[z];
for (j = 0; j<N; j++)
{
while (left==0)
{ z += 1;
if (z>distrib_size(d))
{ abort();
}
left = part[z];
}
for (k = 0; k<distrib_num(d,z); k++)
{
for (i = t; i<cb_N && mod2sparse_find(H,u[i],j); i++) ;
if (i==cb_N)
{ uneven += 1;
do
{ i = rand_int(M);
} while (mod2sparse_find(H,i,j));
mod2sparse_insert(H,i,j);
}
else
{ do
{ i = t + rand_int(cb_N-t);
} while (mod2sparse_find(H,u[i],j));
mod2sparse_insert(H,u[i],j);
u[i] = u[t];
t += 1;
}
}
left -= 1;
}
if (uneven>0)
{ fprintf(stderr,"Had to place %d checks in rows unevenly\n",uneven);
}
break;
}
default: abort();
}
/* Add extra bits to avoid rows with less than two checks. */
added = 0;
for (i = 0; i<M; i++)
{ e = mod2sparse_first_in_row(H,i);
if (mod2sparse_at_end(e))
{ j = rand_int(N);
e = mod2sparse_insert(H,i,j);
added += 1;
}
e = mod2sparse_first_in_row(H,i);
if (mod2sparse_at_end(mod2sparse_next_in_row(e)) && N>1)
{ do
{ j = rand_int(N);
} while (j==mod2sparse_col(e));
mod2sparse_insert(H,i,j);
added += 1;
}
}
if (added>0)
{ fprintf(stderr,
"Added %d extra bit-checks to make row counts at least two\n",
added);
}
/* Add extra bits to try to avoid problems with even column counts. */
n_full = 0;
all_even = 1;
for (z = 0; z<distrib_size(d); z++)
{ if (distrib_num(d,z)==M)
{ n_full += part[z];
}
if (distrib_num(d,z)%2==1)
{ all_even = 0;
}
}
if (all_even && N-n_full>1 && added<2)
{ int a;
for (a = 0; added+a<2; a++)
{ do
{ i = rand_int(M);
j = rand_int(N);
} while (mod2sparse_find(H,i,j));
mod2sparse_insert(H,i,j);
}
fprintf(stderr,
"Added %d extra bit-checks to try to avoid problems from even column counts\n",
a);
}
/* Eliminate cycles of length four, if asked, and if possible. */
if (no4cycle)
{
elim4 = 0;
for (t = 0; t<10; t++)
{ k = 0;
for (j = 0; j<N; j++)
{ for (e = mod2sparse_first_in_col(H,j);
!mod2sparse_at_end(e);
e = mod2sparse_next_in_col(e))
{ for (f = mod2sparse_first_in_row(H,mod2sparse_row(e));
!mod2sparse_at_end(f);
f = mod2sparse_next_in_row(f))
{ if (f==e) continue;
for (g = mod2sparse_first_in_col(H,mod2sparse_col(f));
!mod2sparse_at_end(g);
g = mod2sparse_next_in_col(g))
{ if (g==f) continue;
for (h = mod2sparse_first_in_row(H,mod2sparse_row(g));
!mod2sparse_at_end(h);
h = mod2sparse_next_in_row(h))
{ if (mod2sparse_col(h)==j)
{ do
{ i = rand_int(M);
} while (mod2sparse_find(H,i,j));
mod2sparse_delete(H,e);
mod2sparse_insert(H,i,j);
elim4 += 1;
k += 1;
goto nextj;
}
}
}
}
}
nextj: ;
}
if (k==0) break;
}
if (elim4>0)
{ fprintf(stderr,
"Eliminated %d cycles of length four by moving checks within column\n",
elim4);
}
if (t==10)
{ fprintf(stderr,
"Couldn't eliminate all cycles of length four in 10 passes\n");
}
}
}
int main(int argc, char *argv[]) {
// Get path
char *ip = NULL;
unsigned short connect_port = 0;
unsigned short listen_port = 0;
int net_mode = NET_MODE_NONE;
int ret = 0;
// Path manager
if(pm_init() != 0) {
err_msgbox(pm_get_errormsg());
return 1;
}
// Check arguments
if(argc >= 2) {
if(strcmp(argv[1], "-v") == 0) {
printf("OpenOMF v%d.%d.%d\n", V_MAJOR, V_MINOR, V_PATCH);
printf("Source available at https://github.com/omf2097/ under MIT License\n");
printf("(C) 2097 Tuomas Virtanen, Andrew Thompson, Hunter and others\n");
goto exit_0;
} else if(strcmp(argv[1], "-h") == 0) {
printf("Arguments:\n");
printf("-h Prints this help\n");
printf("-c [ip] [port] Connect to server\n");
printf("-l [port] Start server\n");
goto exit_0;
} else if(strcmp(argv[1], "-c") == 0) {
if(argc >= 3) {
ip = strcpy(malloc(strlen(argv[2])+1), argv[2]);
}
if(argc >= 4) {
connect_port = atoi(argv[3]);
}
net_mode = NET_MODE_CLIENT;
} else if(strcmp(argv[1], "-l") == 0) {
if(argc >= 3) {
listen_port = atoi(argv[2]);
}
net_mode = NET_MODE_SERVER;
}
}
// Init log
#if defined(DEBUGMODE) || defined(STANDALONE_SERVER)
if(log_init(0)) {
err_msgbox("Error while initializing log!");
goto exit_0;
}
#else
if(log_init(pm_get_local_path(LOG_PATH))) {
err_msgbox("Error while initializing log '%s'!", pm_get_local_path(LOG_PATH));
goto exit_0;
}
#endif
// Simple header
INFO("Starting OpenOMF v%d.%d.%d", V_MAJOR, V_MINOR, V_PATCH);
// Dump pathmanager log
pm_log();
// Random seed
rand_seed(time(NULL));
// Init stringparser
sd_stringparser_lib_init();
// Init config
if(settings_init(pm_get_local_path(CONFIG_PATH))) {
err_msgbox("Failed to initialize settings file");
goto exit_1;
}
settings_load();
// Find plugins and make sure they are valid
plugins_init();
// Network game override stuff
if(ip) {
DEBUG("Connect IP overridden to %s", ip);
settings_get()->net.net_connect_ip = ip;
}
if(connect_port > 0 && connect_port < 0xFFFF) {
DEBUG("Connect Port overridden to %u", connect_port&0xFFFF);
settings_get()->net.net_connect_port = connect_port;
}
if(listen_port > 0 && listen_port < 0xFFFF) {
DEBUG("Listen Port overridden to %u", listen_port&0xFFFF);
settings_get()->net.net_listen_port = listen_port;
}
// Init SDL2
unsigned int sdl_flags = SDL_INIT_TIMER;
#ifndef STANDALONE_SERVER
sdl_flags |= SDL_INIT_VIDEO;
#endif
if(SDL_Init(sdl_flags)) {
err_msgbox("SDL2 Initialization failed: %s", SDL_GetError());
goto exit_2;
}
SDL_version sdl_linked;
SDL_GetVersion(&sdl_linked);
INFO("Found SDL v%d.%d.%d", sdl_linked.major, sdl_linked.minor, sdl_linked.patch);
INFO("Running on platform: %s", SDL_GetPlatform());
#ifndef STANDALONE_SERVER
if(SDL_InitSubSystem(SDL_INIT_JOYSTICK|SDL_INIT_GAMECONTROLLER|SDL_INIT_HAPTIC)) {
err_msgbox("SDL2 Initialization failed: %s", SDL_GetError());
goto exit_2;
}
// Attempt to find gamecontrollerdb.txt, either from resources or from
// built-in header
SDL_RWops *rw = SDL_RWFromConstMem(gamecontrollerdb, strlen(gamecontrollerdb));
SDL_GameControllerAddMappingsFromRW(rw, 1);
char *gamecontrollerdbpath = malloc(128);
snprintf(gamecontrollerdbpath, 128, "%s/gamecontrollerdb.txt", pm_get_local_path(RESOURCE_PATH));
int mappings_loaded = SDL_GameControllerAddMappingsFromFile(gamecontrollerdbpath);
if (mappings_loaded > 0) {
DEBUG("loaded %d mappings from %s", mappings_loaded, gamecontrollerdbpath);
}
free(gamecontrollerdbpath);
// Load up joysticks
INFO("Found %d joysticks attached", SDL_NumJoysticks());
SDL_Joystick *joy;
char guidstr[33];
for (int i = 0; i < SDL_NumJoysticks(); i++) {
joy = SDL_JoystickOpen(i);
if (joy) {
SDL_JoystickGUID guid = SDL_JoystickGetGUID(joy);
SDL_JoystickGetGUIDString(guid, guidstr, 33);
INFO("Opened Joystick %d", i);
INFO(" * Name: %s", SDL_JoystickNameForIndex(i));
INFO(" * Number of Axes: %d", SDL_JoystickNumAxes(joy));
INFO(" * Number of Buttons: %d", SDL_JoystickNumButtons(joy));
INFO(" * Number of Balls: %d", SDL_JoystickNumBalls(joy));
INFO(" * Number of Hats: %d", SDL_JoystickNumHats(joy));
INFO(" * GUID : %s", guidstr);
} else {
INFO("Joystick %d is unsupported", i);
}
if (SDL_JoystickGetAttached(joy)) {
SDL_JoystickClose(joy);
}
}
// Init libDumb
dumb_register_stdfiles();
#endif
// Init enet
if(enet_initialize() != 0) {
err_msgbox("Failed to initialize enet");
goto exit_3;
}
// Initialize engine
if(engine_init()) {
err_msgbox("Failed to initialize game engine.");
goto exit_4;
}
// Run
engine_run(net_mode);
// Close everything
engine_close();
exit_4:
enet_deinitialize();
exit_3:
SDL_Quit();
exit_2:
dumb_exit();
settings_save();
settings_free();
exit_1:
sd_stringparser_lib_deinit();
INFO("Exit.");
log_close();
exit_0:
if (ip) {
free(ip);
}
plugins_close();
pm_free();
return ret;
}
int
main(void){
SCS |= 0x01;
FIODIR0 = 0; /* Just to make sure that all pins on Port0 are input. */
/* The following pins are output: */
FIODIR0 |= ((1<<21) | BACKLIGHT_PWM_PIN | SOUND_ENABLE_PIN | (1<<6));
/* TODO what is this pin for ? */
FIODIR0 |= (1<<12);
FIOSET0 = (1<<12);
setSpeed(SPEED_30);
rand_seed(13); // initialize the random number generator
/* Initialize the kernel. Kernel is not running yet */
kernel_init();
/* Initialize the display */
lcd_init(0);
/* Initialize the serial port */
serial_init(38400);
task_add(&serial_out); // Task 0
/* Enable IRQs. Now IRQ service routines start to run */
enableIRQ();
/* Enable radio communication */
RF_init(); // Task 1 == produce_send_token)
/* Initialize backlight task */
inactivity_cnt = 0; // consider power on to be a user activity
task_add(&backl_proc); // Task 2
startPWMIRQ();
/* Initialize keyboard handling */
key_init(); // Task 3 == key_scan()
/* Build an initial model of the internal and external state of the world */
model_init(); // Task 4 == update_playtime()
/* Show something to the user depending on model */
mainscreen_init(); // Task 5 == win_scroll_all()
dbg("RESET");
/* Start the controller task
- keeps model up to date
- starts actions according to model
- shows relevant information on the screen
*/
task_add(&controller); // Task 6
// Task 7 == assemble_line()
/* Start the kernel scheduler */
while(1){
schedule();
};
return 0;
}
int
main(int argc, char* argv[])
{
signal_setup();
fprintf(stdout, "\nACT version %s\n", VERSION);
fprintf(stdout, "Storage device IO test\n");
fprintf(stdout, "Copyright 2018 by Aerospike. All rights reserved.\n\n");
if (! storage_configure(argc, argv)) {
exit(-1);
}
device devices[g_scfg.num_devices];
queue* trans_qs[g_scfg.num_queues];
g_devices = devices;
g_trans_qs = trans_qs;
histogram_scale scale =
g_scfg.us_histograms ? HIST_MICROSECONDS : HIST_MILLISECONDS;
if (! (g_large_block_read_hist = histogram_create(scale)) ||
! (g_large_block_write_hist = histogram_create(scale)) ||
! (g_raw_read_hist = histogram_create(scale)) ||
! (g_read_hist = histogram_create(scale)) ||
! (g_raw_write_hist = histogram_create(scale)) ||
! (g_write_hist = histogram_create(scale))) {
exit(-1);
}
for (uint32_t n = 0; n < g_scfg.num_devices; n++) {
device* dev = &g_devices[n];
dev->name = (const char*)g_scfg.device_names[n];
if (g_scfg.file_size == 0) { // normally 0
set_scheduler(dev->name, g_scfg.scheduler_mode);
}
if (! (dev->fd_q = queue_create(sizeof(int), true)) ||
! discover_device(dev) ||
! (dev->raw_read_hist = histogram_create(scale)) ||
! (dev->raw_write_hist = histogram_create(scale))) {
exit(-1);
}
sprintf(dev->read_hist_tag, "%s-reads", dev->name);
sprintf(dev->write_hist_tag, "%s-writes", dev->name);
}
rand_seed();
g_run_start_us = get_us();
uint64_t run_stop_us = g_run_start_us + g_scfg.run_us;
g_running = true;
if (g_scfg.write_reqs_per_sec != 0) {
for (uint32_t n = 0; n < g_scfg.num_devices; n++) {
device* dev = &g_devices[n];
if (pthread_create(&dev->large_block_read_thread, NULL,
run_large_block_reads, (void*)dev) != 0) {
fprintf(stdout, "ERROR: create large op read thread\n");
exit(-1);
}
if (pthread_create(&dev->large_block_write_thread, NULL,
run_large_block_writes, (void*)dev) != 0) {
fprintf(stdout, "ERROR: create large op write thread\n");
exit(-1);
}
}
}
if (g_scfg.tomb_raider) {
for (uint32_t n = 0; n < g_scfg.num_devices; n++) {
device* dev = &g_devices[n];
if (pthread_create(&dev->tomb_raider_thread, NULL,
run_tomb_raider, (void*)dev) != 0) {
fprintf(stdout, "ERROR: create tomb raider thread\n");
exit(-1);
}
}
}
uint32_t n_trans_tids = g_scfg.num_queues * g_scfg.threads_per_queue;
pthread_t trans_tids[n_trans_tids];
for (uint32_t i = 0; i < g_scfg.num_queues; i++) {
if (! (g_trans_qs[i] = queue_create(sizeof(trans_req), true))) {
exit(-1);
}
for (uint32_t j = 0; j < g_scfg.threads_per_queue; j++) {
if (pthread_create(&trans_tids[(i * g_scfg.threads_per_queue) + j],
NULL, run_transactions, (void*)g_trans_qs[i]) != 0) {
fprintf(stdout, "ERROR: create transaction thread\n");
exit(-1);
}
}
}
// Equivalent: g_scfg.internal_read_reqs_per_sec != 0.
bool do_reads = g_scfg.read_reqs_per_sec != 0;
pthread_t read_req_tids[g_scfg.read_req_threads];
if (do_reads) {
for (uint32_t k = 0; k < g_scfg.read_req_threads; k++) {
if (pthread_create(&read_req_tids[k], NULL, run_generate_read_reqs,
NULL) != 0) {
fprintf(stdout, "ERROR: create read request thread\n");
exit(-1);
}
}
}
// Equivalent: g_scfg.internal_write_reqs_per_sec != 0.
bool do_commits = g_scfg.commit_to_device && g_scfg.write_reqs_per_sec != 0;
pthread_t write_req_tids[g_scfg.write_req_threads];
if (do_commits) {
for (uint32_t k = 0; k < g_scfg.write_req_threads; k++) {
if (pthread_create(&write_req_tids[k], NULL,
run_generate_write_reqs, NULL) != 0) {
fprintf(stdout, "ERROR: create write request thread\n");
exit(-1);
}
}
}
fprintf(stdout, "\nHISTOGRAM NAMES\n");
if (do_reads) {
fprintf(stdout, "reads\n");
fprintf(stdout, "device-reads\n");
for (uint32_t d = 0; d < g_scfg.num_devices; d++) {
fprintf(stdout, "%s\n", g_devices[d].read_hist_tag);
}
}
if (g_scfg.write_reqs_per_sec != 0) {
fprintf(stdout, "large-block-reads\n");
fprintf(stdout, "large-block-writes\n");
}
if (do_commits) {
fprintf(stdout, "writes\n");
fprintf(stdout, "device-writes\n");
for (uint32_t d = 0; d < g_scfg.num_devices; d++) {
fprintf(stdout, "%s\n", g_devices[d].write_hist_tag);
}
}
fprintf(stdout, "\n");
uint64_t now_us = 0;
uint64_t count = 0;
while (g_running && (now_us = get_us()) < run_stop_us) {
count++;
int64_t sleep_us = (int64_t)
((count * g_scfg.report_interval_us) -
(now_us - g_run_start_us));
if (sleep_us > 0) {
usleep((uint32_t)sleep_us);
}
fprintf(stdout, "after %" PRIu64 " sec:\n",
(count * g_scfg.report_interval_us) / 1000000);
fprintf(stdout, "requests-queued: %" PRIu32 "\n",
atomic32_get(g_reqs_queued));
if (do_reads) {
histogram_dump(g_read_hist, "reads");
histogram_dump(g_raw_read_hist, "device-reads");
for (uint32_t d = 0; d < g_scfg.num_devices; d++) {
histogram_dump(g_devices[d].raw_read_hist,
g_devices[d].read_hist_tag);
}
}
if (g_scfg.write_reqs_per_sec != 0) {
histogram_dump(g_large_block_read_hist, "large-block-reads");
histogram_dump(g_large_block_write_hist, "large-block-writes");
}
if (do_commits) {
histogram_dump(g_write_hist, "writes");
histogram_dump(g_raw_write_hist, "device-writes");
for (uint32_t d = 0; d < g_scfg.num_devices; d++) {
histogram_dump(g_devices[d].raw_write_hist,
g_devices[d].write_hist_tag);
}
}
fprintf(stdout, "\n");
fflush(stdout);
}
g_running = false;
if (do_reads) {
for (uint32_t k = 0; k < g_scfg.read_req_threads; k++) {
pthread_join(read_req_tids[k], NULL);
}
}
if (do_commits) {
for (uint32_t k = 0; k < g_scfg.write_req_threads; k++) {
pthread_join(write_req_tids[k], NULL);
}
}
for (uint32_t j = 0; j < n_trans_tids; j++) {
pthread_join(trans_tids[j], NULL);
}
for (uint32_t i = 0; i < g_scfg.num_queues; i++) {
queue_destroy(g_trans_qs[i]);
}
for (uint32_t d = 0; d < g_scfg.num_devices; d++) {
device* dev = &g_devices[d];
if (g_scfg.tomb_raider) {
pthread_join(dev->tomb_raider_thread, NULL);
}
if (g_scfg.write_reqs_per_sec != 0) {
pthread_join(dev->large_block_read_thread, NULL);
pthread_join(dev->large_block_write_thread, NULL);
}
fd_close_all(dev);
queue_destroy(dev->fd_q);
free(dev->raw_read_hist);
free(dev->raw_write_hist);
}
free(g_large_block_read_hist);
free(g_large_block_write_hist);
free(g_raw_read_hist);
free(g_read_hist);
free(g_raw_write_hist);
free(g_write_hist);
return 0;
}
