void ProcessesLocal::Private::readProcStat(struct kinfo_proc *p, Process *ps)
{
ps->setUserTime(LP(p, uticks) / 10000);
ps->setSysTime((LP(p, sticks) + LP(p, iticks)) / 10000);
ps->setNiceLevel(PP(p, nice));
ps->setVmSize(VP(p, map_size) / 1024); /* convert to KiB */
ps->setVmRSS(VP(p, prssize) * getpagesize() / 1024); /* convert to KiB */
// "idle","run","sleep","stop","zombie"
switch( LP(p, stat) ) {
case LSRUN:
ps->setStatus(Process::Running);
break;
case LSSLEEP:
ps->setStatus(Process::Sleeping);
break;
case LSSTOP:
ps->setStatus(Process::Stopped);
break;
default:
ps->setStatus(Process::OtherStatus);
break;
}
if (PP(p, stat) == SZOMB)
ps->setStatus(Process::Zombie);
}
int main()
{
Graph g("graph_t3.txt");
ifstream reqfile("req.txt");
int reqN=4;
int a,b,c;
vector<Req*> reqL;
reqL.clear();
for(int i=0;i<reqN;i++)
{
reqfile>>a>>b>>c;
Req* r=new Req(a,b,c);
reqL.push_back(r);
}
//线性规划部署
cout<<"--------------------------------------------------"<<endl;
double result=0;
result=LP(&g,reqL);
cout<<"TE of this case is: "<<result<<endl;
cout<<"End of the Program"<<endl;
getchar();
return 0;
}
// One jacobi iteration
void jacobi_iteration() {
for (int i = 0; i < local_height; i++) {
for (int j = 0; j < local_width; j++) {
local_pres[LP(i, j)] = calculate_jacobi(i, j);
}
}
}
void LAV
( const DistSparseMatrix<Real>& A,
const DistMultiVec<Real>& b,
DistMultiVec<Real>& x,
const lp::affine::Ctrl<Real>& ctrl )
{
EL_DEBUG_CSE
const Int m = A.Height();
const Int n = A.Width();
const Grid& grid = A.Grid();
DistSparseMatrix<Real> AHat(grid), G(grid);
DistMultiVec<Real> c(grid), h(grid);
// c := [0;1;1]
// ============
Zeros( c, n+2*m, 1 );
for( Int iLoc=0; iLoc<c.LocalHeight(); ++iLoc )
if( c.GlobalRow(iLoc) >= n )
c.SetLocal( iLoc, 0, Real(1) );
// \hat A := [A, I, -I]
// ====================
Zeros( AHat, m, n+2*m );
const Int numLocalEntriesA = A.NumLocalEntries();
AHat.Reserve( numLocalEntriesA + 2*AHat.LocalHeight() );
for( Int e=0; e<numLocalEntriesA; ++e )
AHat.QueueUpdate( A.Row(e), A.Col(e), A.Value(e) );
for( Int iLoc=0; iLoc<AHat.LocalHeight(); ++iLoc )
{
const Int i = AHat.GlobalRow(iLoc);
AHat.QueueLocalUpdate( iLoc, i+n, Real( 1) );
AHat.QueueLocalUpdate( iLoc, i+n+m, Real(-1) );
}
AHat.ProcessLocalQueues();
// G := | 0 -I 0 |
// | 0 0 -I |
// ================
Zeros( G, 2*m, n+2*m );
G.Reserve( G.LocalHeight() );
for( Int iLoc=0; iLoc<G.LocalHeight(); ++iLoc )
G.QueueLocalUpdate( iLoc, G.GlobalRow(iLoc)+n, Real(-1) );
G.ProcessLocalQueues();
// h := | 0 |
// | 0 |
// ==========
Zeros( h, 2*m, 1 );
// Solve the affine QP
// ===================
DistMultiVec<Real> xHat(grid), y(grid), z(grid), s(grid);
LP( AHat, G, b, c, h, xHat, y, z, s, ctrl );
// Extract x
// =========
x = xHat( IR(0,n), ALL );
}
// For debugging purposes
void print_local_pres(float *jacobi) {
for(int i = -1; i < local_height + 1; i++) {
for (int j = -1; j < local_width + 1; j++) {
printf("%f ", jacobi[LP(i, j)]);
}
printf("\n");
}
}
void LAV
( const SparseMatrix<Real>& A,
const Matrix<Real>& b,
Matrix<Real>& x,
const lp::affine::Ctrl<Real>& ctrl )
{
EL_DEBUG_CSE
const Int m = A.Height();
const Int n = A.Width();
const Range<Int> xInd(0,n), uInd(n,n+m), vInd(n+m,n+2*m);
SparseMatrix<Real> AHat, G;
Matrix<Real> c, h;
// c := [0;1;1]
// ============
Zeros( c, n+2*m, 1 );
auto cuv = c( IR(n,n+2*m), ALL );
Fill( cuv, Real(1) );
// \hat A := [A, I, -I]
// ====================
Zeros( AHat, m, n+2*m );
const Int numEntriesA = A.NumEntries();
AHat.Reserve( numEntriesA + 2*m );
for( Int e=0; e<numEntriesA; ++e )
AHat.QueueUpdate( A.Row(e), A.Col(e), A.Value(e) );
for( Int i=0; i<m; ++i )
{
AHat.QueueUpdate( i, i+n, Real( 1) );
AHat.QueueUpdate( i, i+n+m, Real(-1) );
}
AHat.ProcessQueues();
// G := | 0 -I 0 |
// | 0 0 -I |
// ================
Zeros( G, 2*m, n+2*m );
G.Reserve( G.Height() );
for( Int i=0; i<2*m; ++i )
G.QueueUpdate( i, i+n, Real(-1) );
G.ProcessQueues();
// h := | 0 |
// | 0 |
// ==========
Zeros( h, 2*m, 1 );
// Solve the affine linear program
// ===============================
Matrix<Real> xHat, y, z, s;
LP( AHat, G, b, c, h, xHat, y, z, s, ctrl );
// Extract x
// =========
x = xHat( xInd, ALL );
}
/*------------------------------main_proc--------------------------------*/
long
main_proc (PFUNC_VAR)
{
static int hExit, hCurPage=ID_NULL, hPage1, hPage2, hPage3, hPage4, hTest = ID_NULL;
static YT_COLOR col1, col2, col3, col4;
enum local_keys {
DRAW_MESS = YKEY_LOCALS
};
switch (message) {
case YCREATE:
YSetDialog (dialog_proc);
break;
case YOPEN:
col1 = YColor("fuchsia");
col2 = YColor("white");
col3 = YColor("blue");
col4 = YColor("red");
case YDRAW:
YPaintRectF (0,0, WND->w,WND->h, YColor("yellow"));
begin_group ("MESSAGES", 20,375, 440,55, YColor(""));
YWnd (&hTest, testmsg_proc, "", 15,15, 385,30, 0,0,0,0, CLR_DEF);
end_group ();
YGoto (YDRAWITEM, 0,0,col1,(long)page1_proc);
YWnd (&hPage1, push_proc, "Page1", 465, 20, 65,40, 0,0,0,0, col1);
YWnd (&hPage2, push_proc, "Page2", 465, 70, 65,40, 0,0,0,0, col2);
YWnd (&hPage3, push_proc, "Page3", 465,120, 65,40, 0,0,0,0, col3);
YWnd (&hPage4, push_proc, "Page4", 465,170, 65,40, 0,0,0,0, col4);
YWnd (&hExit, push_proc, "Exit", 465,380, 65,40, 0,0,0,0, YColor("lime"));
break;
case YDRAWITEM:
/* YWndClose (hCurPage); */
/* YUnWnd (hCurPage); */
YWnd (&hCurPage, (YT_PFUNC)mes4, "", 20,20, 440,340, LP(hTest),0,0,0, (YT_COLOR)mes3);
break;
case YCLOSE:
YWndClean (id);
break;
case MYPUSH_UP:
if (mes1 == hExit ) exit(0);
else if (mes1 == hPage1) YGoto (YDRAWITEM, 0,0,col1,(long)page1_proc);
else if (mes1 == hPage2) YGoto (YDRAWITEM, 0,0,col2,(long)page2_proc);
else if (mes1 == hPage3) YGoto (YDRAWITEM, 0,0,col3,(long)page3_proc);
else if (mes1 == hPage4) YGoto (YDRAWITEM, 0,0,col4,(long)page4_proc);
break;
default:
return (YSend (hTest, message, mes1,mes2,mes3,mes4));
}
RETURN_TRUE;
}
bool GP32FilesystemNode::listDir(AbstractFSList &myList, ListMode mode) const {
assert(_isDirectory);
GPDIRENTRY dirEntry;
GPFILEATTR attr;
GP32FilesystemNode entry;
uint32 read;
if (mode == FilesystemNode::kListAll)
LP("listDir(kListAll)");
else
LP("listDir(kListDirectoriesOnly)");
int startIdx = 0; // current file
String listDir(_path);
//listDir += "/";
while (GpDirEnumList(listDir.c_str(), startIdx++, 1, &dirEntry, &read) == SM_OK) {
if (dirEntry.name[0] == '.')
continue;
entry._displayName = dirEntry.name;
entry._path = _path;
entry._path += dirEntry.name;
GpFileAttr(entry._path.c_str(), &attr);
entry._isDirectory = attr.attr & (1 << 4);
// Honor the chosen mode
if ((mode == FilesystemNode::kListFilesOnly && entry._isDirectory) ||
(mode == FilesystemNode::kListDirectoriesOnly && !entry._isDirectory))
continue;
if (entry._isDirectory)
entry._path += "\\";
myList.push_back(new GP32FilesystemNode(entry));
}
BP("Dir... %s", listDir.c_str());
return true;
}
/*------------------------------dial2_proc--------------------------------*/
long
dial2_proc (PFUNC_VAR)
{
static int hExit, hTest = ID_NULL;
static YT_BOOK pages[] = {
{"MORE", impr_proc, LP(hTest)},
{"Page_1", page1_proc, LP(hTest)},
{"Page_2", page2_proc, LP(hTest)},
{"Page_3", page3_proc, LP(hTest)},
{"Page_4", page4_proc, LP(hTest)},
{"", NULL, 0}
};
enum local_keys {
DRAW_MESS = YKEY_LOCALS
};
switch (message) {
case YOPEN:
case YDRAW:
YDrawRectF (0,0, WND->w,WND->h, YColor("yellow"));
YBeginGroup ("MESSAGES", 30,375, 420,55, YColor(""));
YWnd (&hTest, TESTMSG, "", 15,15, 385,30, 0,0,0,0, CLR_DEF);
/* YWnd (&hTest, testmsg_proc, "", 15,15, 385,30, 0,0,0,0, CLR_DEF); */
YEndGroup ();
YWnd (&hExit, PUSH, "Exit", 455,380, 65,40, 0,0,0,0, YColor("lime"));
YWnd (Ph(), BOOK, "", 30,20, WND->w-60,340, (long)pages,75,30,YUP, CLR_DEF);
break;
case YCLOSE:
YWndClean (id);
break;
case YPUSH:
if (mes1 == hExit) exit(0);
default:
return (YSend (hTest, message, mes1,mes2,mes3,mes4));
}
RETURN_TRUE;
}
void LAV
( const AbstractDistMatrix<Real>& A,
const AbstractDistMatrix<Real>& b,
AbstractDistMatrix<Real>& xPre,
const lp::affine::Ctrl<Real>& ctrl )
{
EL_DEBUG_CSE
DistMatrixWriteProxy<Real,Real,MC,MR> xProx( xPre );
auto& x = xProx.Get();
const Int m = A.Height();
const Int n = A.Width();
const Grid& g = A.Grid();
const Range<Int> xInd(0,n), uInd(n,n+m), vInd(n+m,n+2*m);
DistMatrix<Real> c(g), AHat(g), G(g), h(g);
// c := [0;1;1]
// ============
Zeros( c, n+2*m, 1 );
auto cuv = c( IR(n,n+2*m), ALL );
Fill( cuv, Real(1) );
// \hat A := [A, I, -I]
// ====================
Zeros( AHat, m, n+2*m );
auto AHatx = AHat( IR(0,m), xInd );
auto AHatu = AHat( IR(0,m), uInd );
auto AHatv = AHat( IR(0,m), vInd );
AHatx = A;
FillDiagonal( AHatu, Real( 1) );
FillDiagonal( AHatv, Real(-1) );
// G := | 0 -I 0 |
// | 0 0 -I |
// ================
Zeros( G, 2*m, n+2*m );
auto Guv = G( IR(0,2*m), IR(n,n+2*m) );
FillDiagonal( Guv, Real(-1) );
// h := | 0 |
// | 0 |
// ==========
Zeros( h, 2*m, 1 );
// Solve the affine linear program
// ===============================
DistMatrix<Real> xHat(g), y(g), z(g), s(g);
LP( AHat, G, b, c, h, xHat, y, z, s, ctrl );
// Extract x
// =========
x = xHat( xInd, ALL );
}
// MODIFY THIS FUNCTION
void drawMesh(cgtk::GLSLProgram &program, const MeshVAO &meshVAO)
{
program.enable();
// al=1;
globals.program.setUniform1f("u_al",al);
globals.program.setUniform1f("u_dl",dl);
globals.program.setUniform1f("u_sl",sl);
globals.program.setUniform1f("u_gamma",gam);
globals.program.setUniform1f("u_invert",inv);
// globals.program.setUniform1f("u_zoom",zoom);
// Define the model, view, and projection matrices here
glm::mat4 model = glm::mat4(1.0f);
glm::mat4 view = glm::lookAt(glm::vec3(0.0f,0.0f,6.0f),
glm::vec3(0.0f,1.0f,0.0f),
glm::vec3(0.0f,0.0f,1.0f));
glm::mat4 projection = glm::perspective(zoom*10.5f,1.0f,3.0f,8.0f);
// Construct the ModelViewProjection, ModelView, and normal
// matrices here and pass them as uniform variables to the shader
// program
glm::mat4 MV = view*model;
globals.program.setUniformMatrix4f("u_MV",MV);
glm::mat4 MVP = projection*view*model;
globals.program.setUniformMatrix4f("u_MVP",MVP);
glm::mat4 NM = glm::transpose(glm::inverse(MV));
globals.program.setUniformMatrix4f("u_NM", NM);
// Set up the light source and material properties and pass them
// as uniform variables to the shader program, along with the
// flags (uniform int variables) used for toggling on/off
// different parts of the rendering
glm::vec3 LP(0.0,0.0,8.0);
globals.program.setUniform3f("u_LP", LP);
glm::vec3 LC(1.0,1.0,1.0);
globals.program.setUniform3f("u_LC", LC);
glm::vec3 DC(1.0,1.0,0);
glm::vec3 AC=glm::vec3(1.0,0,1.0);
glm::vec3 SC(0,1.0,1.0);
globals.program.setUniform3f("u_DC", DC);
globals.program.setUniform3f("u_AC", AC);
globals.program.setUniform3f("u_SC", SC);
float SP = 1.0;
// globals.program.setUniform1f("u_SP", SP);
glBindVertexArray(meshVAO.vao);
glDrawElements(GL_TRIANGLES, meshVAO.numIndices, GL_UNSIGNED_INT, 0);
glBindVertexArray(0);
program.disable();
}
// Exchange borders between processes during computation
void exchange_borders() {
float *lp = local_pres;
if (north >= 0) {
exchange_border(lp + LP(0, 0), lp + LP(-1, 0), north, border_row_t);
}
if (south >= 0) {
exchange_border(lp + LP(local_height - 1, 0), lp + LP(local_height, 0), south, border_row_t);
}
if (west >= 0) {
exchange_border(lp + LP(0, 0), lp + LP(0, -1), west, border_col_t);
}
if (east >= 0) {
exchange_border(lp + LP(0, local_width - 1), lp + LP(0, local_width), east, border_col_t);
}
}
void LAV
( const Matrix<Real>& A,
const Matrix<Real>& b,
Matrix<Real>& x,
const lp::affine::Ctrl<Real>& ctrl )
{
EL_DEBUG_CSE
const Int m = A.Height();
const Int n = A.Width();
const Range<Int> xInd(0,n), uInd(n,n+m), vInd(n+m,n+2*m);
Matrix<Real> c, AHat, G, h;
// c := [0;1;1]
// ============
Zeros( c, n+2*m, 1 );
auto cuv = c( IR(n,n+2*m), ALL );
Fill( cuv, Real(1) );
// \hat A := [A, I, -I]
// ====================
Zeros( AHat, m, n+2*m );
auto AHatx = AHat( IR(0,m), xInd );
auto AHatu = AHat( IR(0,m), uInd );
auto AHatv = AHat( IR(0,m), vInd );
AHatx = A;
FillDiagonal( AHatu, Real( 1) );
FillDiagonal( AHatv, Real(-1) );
// G := | 0 -I 0 |
// | 0 0 -I |
// ================
Zeros( G, 2*m, n+2*m );
auto Guv = G( IR(0,2*m), IR(n,n+2*m) );
FillDiagonal( Guv, Real(-1) );
// h := | 0 |
// | 0 |
// ==========
Zeros( h, 2*m, 1 );
// Solve the affine linear program
// ===============================
Matrix<Real> xHat, y, z, s;
LP( AHat, G, b, c, h, xHat, y, z, s, ctrl );
// Extract x
// ==========
x = xHat( xInd, ALL );
}
bool Shader::checkShader(GLint object, GLint type, GLenum shaderType)
{
GLint success;
glGetShaderiv(object, type, &success);
if(success == GL_FALSE)
{
std::cout << ConsoleBlocks::Error << LP("ShaderCompileError", {getShaderName(shaderType)}) << std::endl;
GLint infoLogSize;
glGetShaderiv(object, GL_INFO_LOG_LENGTH, &infoLogSize);
char* buffer = new char[infoLogSize];
glGetShaderInfoLog(object, infoLogSize, NULL, buffer);
std::cout << ConsoleBlocks::Info << buffer << "\n\n";
delete[] buffer;
return false;
}
return true;
}
// Calculate the value for one element in the grid
float calculate_jacobi(int row, int col) {
float x1 = local_pres0[LP(row, col - 1)],
x2 = local_pres0[LP(row - 1, col)],
x3 = local_pres0[LP(row, col + 1)],
x4 = local_pres0[LP(row + 1, col)];
// If the element is on the border of 'pres', set to it's current value instead
if (north < 0 && row == 0) {
x2 = local_pres0[LP(row, col)];
}
if (south < 0 && row == local_height) {
x4 = local_pres0[LP(row, col)];
}
if (west < 0 && col == 0) {
x1 = local_pres0[LP(row, col)];
}
if (east < 0 && col == local_width) {
x3 = local_pres0[LP(row, col)];
}
return 0.25 * (x1 + x2 + x3 + x4 - local_diverg[row * local_width + col]);
}
void
sunxi_bg_every_frame(int hide)
{
unsigned long args[4] = {0};
int r;
if(!bg_layer)
return;
args[1] = bg_layer;
float alpha = hide ? 0 : 1;
bg_wanted_alpha = LP(16, bg_wanted_alpha, alpha);
int a8 = bg_wanted_alpha * 255.0;
if(a8 == 0) {
if(bg_open) {
r = ioctl(sunxi.dispfd, DISP_CMD_LAYER_CLOSE, args);
if(r)
perror("ioctl(disphd,DISP_CMD_LAYER_CLOSE)");
else
bg_open = 0;
}
} else {
if(!bg_open) {
r = ioctl(sunxi.dispfd, DISP_CMD_LAYER_OPEN, args);
if(r) {
perror("ioctl(disphd,DISP_CMD_LAYER_OPEN)");
return;
}
else
bg_open = 1;
}
if(ioctl(sunxi.dispfd, DISP_CMD_LAYER_BOTTOM, args))
perror("ioctl(disphd,DISP_CMD_LAYER_BOTTOM)");
args[2] = a8;
if(ioctl(sunxi.dispfd, DISP_CMD_LAYER_SET_ALPHA_VALUE, args))
perror("ioctl(disphd, DISP_CMD_LAYER_SET_ALPHA_VALUE)");
}
}
// Calculates the displacements used in'gather_pres' and 'distribute_diverg'
// for each of the processes,
// and initializes 'local_pres' and 'local_pres0' to empty arrays
void init_local_pres() {
displs = malloc(sizeof(int) * size);
counts = malloc(sizeof(int) * size);
for (int i = 0; i < dims[0]; i++) {
for (int j = 0; j < dims[1]; j++) {
int index = i * dims[1] + j;
displs[index] = i * local_height * (imageSize + 2) + j * local_width;
counts[index] = 1;
}
}
for (int i = -1; i < local_height + 1; i++) {
for (int j = -1; j < local_width + 1; j++) {
int index = LP(i, j);
local_pres0[index] = 0.0;
local_pres[index] = 0.0;
}
}
}
std::pair<int, std::string> test_dag_shortest_path(std::ostream& strm,int argc, const char *argv[])
{
sparse_graph_t s10(15, graph_type_t::DIRECTED);
s10.insert(simple_edge_t(0,1,0.41));//1
s10.insert(simple_edge_t(0,7,0.41));//2
s10.insert(simple_edge_t(0,9,0.41));//3
s10.insert(simple_edge_t(1,2,0.51));//4
s10.insert(simple_edge_t(7,8,0.32));//5
s10.insert(simple_edge_t(8,2,0.32));//6
s10.insert(simple_edge_t(7,3,0.32));//7
s10.insert(simple_edge_t(6,8,0.21));//8
s10.insert(simple_edge_t(6,3,0.21));//9
s10.insert(simple_edge_t(9,4,0.29));//10
s10.insert(simple_edge_t(9,6,0.29));//11
s10.insert(simple_edge_t(5,5,0));//12
dag_all_shortest_paths<simple_edge_t> LP(s10);
LP.pp(strm);
strm << std::endl;
return DONE;
}
std::pair<int, std::string> test_dag_longest_path(std::ostream& strm,int argc, const char *argv[])
{
sparse_graph_t s10(15, graph_type_t::DIRECTED);
s10.insert(simple_edge_t(0,1,0.41));//1
s10.insert(simple_edge_t(0,7,0.41));//2
s10.insert(simple_edge_t(0,9,0.41));//3
s10.insert(simple_edge_t(1,2,0.51));//4
s10.insert(simple_edge_t(7,8,0.32));//5
s10.insert(simple_edge_t(8,2,0.32));//6
s10.insert(simple_edge_t(7,3,0.32));//7
s10.insert(simple_edge_t(6,8,0.21));//8
s10.insert(simple_edge_t(6,3,0.21));//9
s10.insert(simple_edge_t(9,4,0.29));//10
s10.insert(simple_edge_t(9,6,0.29));//11
s10.insert(simple_edge_t(5,5,0));//12
dag_all_longest_paths<simple_edge_t> LP(s10);
LP.pp(strm);
strm << "------------- distance ----------" << std::endl;
std::vector<double> expected_dist= {0, 0.41, 1.23, 0.91, 0.70,0,0.70, 0.41, 0.91,0.41};
size_t index = expected_dist.size();
while (index-- > 0 ) {
strm << "index : " << index << " expected : " << expected_dist[index] << " found : " << LP.dist(index) << std::endl;
ASSERT(LP.dist(index).second && abs(LP.dist(index).first - expected_dist[index]) < 0.0001);
}
strm << "------------ predecessor ---------" << std::endl;
std::vector<typename simple_edge_t::label_value_type> expected_pred = {0, 0, 8, 6, 9, 5, 9, 0, 6, 0};
index = expected_pred.size();
while (index-- > 0 ) {
strm << "index : " << index << " expected : " << expected_pred[index] << " found : " << LP.pred(index) << std::endl;
ASSERT(LP.pred(index).second && LP.pred(index).first == expected_pred[index]);
}
strm << std::endl;
return DONE;
}
void listcpy1(L d, L s, I i) {
#define DS s1-s0
#define DD d1-d0
I ss=t_sizeof(d->t);
P d0=LIST_PTR_ATS(d,i,ss), d1=LP(d)+d->c*ss;
P s0=LIST_PTR_ATS(s,0,ss), s1=LP(s)+s->c*ss;
I l=s->l*ss;
if (DS <= DD) {
memcpy(d0,s0,min(l,DS)); if((l-=DS)<=0)return; s0=LP(s); d0+=DS;
memcpy(d0,s0,min(l,DD)); if((l-=DD)<=0)return; s0+=DD; d0=LP(d);
} else {
memcpy(d0,s0,min(l,DD)); if((l-=DD)<=0)return; s0+=DD; d0=LP(d);
memcpy(d0,s0,min(l,DS)); if((l-=DS)<=0)return; s0=LP(s); d0+=DS;
}
memcpy(d0,s0,l);
#undef DS
#undef DD
}
int Ifpack_Chebyshev::
CG(const int MaximumIterations,
double& lambda_min, double& lambda_max)
{
IFPACK_CHK_ERR(-1);// NTS: This always seems to yield errors in AztecOO, ergo,
// I turned it off.
if(!UseBlockMode_) IFPACK_CHK_ERR(-1);
#ifdef HAVE_IFPACK_AZTECOO
Epetra_Vector x(Operator_->OperatorDomainMap());
Epetra_Vector y(Operator_->OperatorRangeMap());
x.Random();
y.PutScalar(0.0);
Epetra_LinearProblem LP(const_cast<Epetra_RowMatrix*>(&*Matrix_), &x, &y);
AztecOO solver(LP);
solver.SetAztecOption(AZ_solver, AZ_cg_condnum);
solver.SetAztecOption(AZ_output, AZ_none);
solver.SetPrecOperator(&*InvBlockDiagonal_);
solver.Iterate(MaximumIterations, 1e-10);
const double* status = solver.GetAztecStatus();
lambda_min = status[AZ_lambda_min];
lambda_max = status[AZ_lambda_max];
return(0);
#else
cout << "You need to configure IFPACK with support for AztecOO" << endl;
cout << "to use the CG estimator. This may require --enable-aztecoo" << endl;
cout << "in your configure script." << endl;
IFPACK_CHK_ERR(-1);
#endif
}
//==============================================================================
int Ifpack_Chebyshev::
CG(const Epetra_Operator& Operator,
const Epetra_Vector& InvPointDiagonal,
const int MaximumIterations,
double& lambda_min, double& lambda_max)
{
#ifdef HAVE_IFPACK_AZTECOO
Epetra_Vector x(Operator.OperatorDomainMap());
Epetra_Vector y(Operator.OperatorRangeMap());
x.Random();
y.PutScalar(0.0);
Epetra_LinearProblem LP(const_cast<Epetra_Operator*>(&Operator), &x, &y);
AztecOO solver(LP);
solver.SetAztecOption(AZ_solver, AZ_cg_condnum);
solver.SetAztecOption(AZ_output, AZ_none);
Ifpack_DiagPreconditioner diag(Operator.OperatorDomainMap(),
Operator.OperatorRangeMap(),
InvPointDiagonal);
solver.SetPrecOperator(&diag);
solver.Iterate(MaximumIterations, 1e-10);
const double* status = solver.GetAztecStatus();
lambda_min = status[AZ_lambda_min];
lambda_max = status[AZ_lambda_max];
return(0);
#else
cout << "You need to configure IFPACK with support for AztecOO" << endl;
cout << "to use the CG estimator. This may require --enable-aztecoo" << endl;
cout << "in your configure script." << endl;
IFPACK_CHK_ERR(-1);
#endif
}
#include <string.h>
#include <signal.h>
#include <sys/mman.h>
#include <sched.h> /* for cpu sets */
#include "litmus.h"
#include "internal.h"
#define LP(name) {name ## _SEM, #name}
static struct {
int id;
const char* name;
} protocol[] = {
LP(FMLP),
LP(SRP),
LP(MPCP),
LP(MPCP_VS),
{MPCP_VS_SEM, "MPCP-VS"},
LP(DPCP),
LP(PCP),
};
#define NUM_PROTOS (sizeof(protocol)/sizeof(protocol[0]))
int lock_protocol_for_name(const char* name)
{
int i;
for (i = 0; i < NUM_PROTOS; i++)
int main()
{
srand((unsigned)time(NULL));
Graph g("d:\\github\\CRANA_Voting\\graph2.txt");
int caseN=6;
double judge=0,judge_sum=0;
int req_sum=0,result_sum=0;
vector<Req*> reqL_all;
list<CEdge*> listEdge;
int winner = 0;//No.1
float happiness_sum = 0;//记录各轮服务累加起来的满意度
int K_sum = 0;//记录一共有多少条流需要安排路径
float table[M2C+1][N2C+1] = {0};
int ranking[N2C+1]={0};//记录一种排序的投票人数
ofstream reqRecord("d:\\github\\reqRecord.txt");
//图的初始化
ifstream test("d:\\github\\CRANA_Voting\\graph2.txt");
int node_num,edge_num;
int src,dst,weight,cap;
test>>node_num>>edge_num;
for(int i=1;i<=edge_num;i++)
{
test>>src>>dst>>weight>>cap;
CEdge* e1=new CEdge(src,dst,weight,cap);
CEdge* e2=new CEdge(dst,src,weight,cap);
listEdge.push_back(e1);
listEdge.push_back(e2);
}
CGraph gv(listEdge,node_num,edge_num);
gv.p3();
gv.p4();
int req_num,req_constant;
req_num=6;
req_constant = req_num+1;
for(int icase=1;icase<=caseN;icase++)
{
cout<<"--------------------------------------------------"<<endl;
cout<<"case "<<icase<<endl;
//需求记录
CReq* r1=new CReq(0,0,0);
gv.r.push_back(r1);
K=MAXREQ;
if (req_num != (req_constant-1)) //第一个req来的时候，不需要修改link_bw
{
for (int k = 1; k <= K; k++)
{
list<CEdge*>::iterator it, iend;
iend = listEdge.end();
for (it = listEdge.begin(); it != iend; it++)
{
gv.link_bw[k][(*it)->getTail()][(*it)->getHead()] = gv.link_bw[winner][(*it)->getTail()][(*it)->getHead()];
//cout << (*it)->getTail() << " " << (*it)->getHead() << " " << g.link_bw[k][(*it)->getTail()][(*it)->getHead()]<<endl;
}
}
}
for (int i = 1; i <= K; i++)
for (int j = 1; j <= K; j++)
{
CPath* pa = new CPath();
gv.path_record[i][j] = pa;
}
//case输入
reqRecord<<"case "<<icase<<endl;
int reqN,a,b,c;
vector<Req*> reqL;
reqN=MAXREQ;
reqL.clear();
a=1;b=17;
for(int i=0;i<reqN;i++)
{
c=0;
while(c==0){c = 3 + rand()%MAXFLOW;}
Req* r=new Req(a,b,c);
reqL.push_back(r);
CReq* r2=new CReq(a,b,c);
gv.bw[i+1]=c;
gv.r.push_back(r2);
reqL_all.push_back(r);
reqRecord<<c<<" ";
}
reqRecord<<endl<<endl;
//@@@@@@@@@@@@@@@@ Voting @@@@@@@@@@@@@@@@@@@@@@
//@@@@@@@@@@@@@@@@ Voting @@@@@@@@@@@@@@@@@@@@@@
//提方案
for(int i=1;i<=K;i++)
{
gv.single_flow_propose(i,K);
}
//评价
for(int i=1;i<=K;i++)
for(int j=1;j<=K;j++)
gv.judge[i][j]=0;
for(int i=1;i<=K;i++)
gv.judge_sum[i]=0;
for(int i=1;i<=K;i++)
{
//cout<<"evaluate "<<i<<endl;
gv.single_flow_evaluate(i,K);
gv.cost_evaluate(i);
}
/*
cout<<endl;
cout<<"************ single judge **************"<<endl;
for(int i=1;i<=K;i++)
{
cout<<"flow ";
cout.setf(ios::right);
cout.width(3);
cout<<i<<" judge: ";
for(int j=1;j<=K;j++){
cout.setf(ios::left);
cout.width(4);
cout<<gv.judge[i][j]<<" ";
}
cout<<endl;
}
cout<<endl;
cout<<"************ sum judge **************"<<endl;
for(int i=1;i<=K;i++)
{
cout<<"proposal "<<i<<" : "<<gv.judge_sum[i]<<endl;
}
*/
//voting method
for(int i=1;i<=K;i++)
for(int j=1;j<=K;j++)
{
if(gv.judge[i][j]==0) {table[i][j]=10000;}//如果是0，说明流没有摆在网络中
else table[i][j]=gv.judge[i][j];
}
for(int i=1;i<=K;i++)
ranking[i]=1;
/*
cout<<"************ voting table **************"<<endl;
for(int i=1;i<=K;i++)
{
cout<<"flow ";
cout.setf(ios::right);
cout.width(3);
cout<<i<<" judge: ";
for(int j=1;j<=K;j++){
cout.setf(ios::left);
cout.width(5);
cout<<table[i][j]<<" ";
}
cout<<endl;
}
cout<<endl;
*/
cout<<" voting result ";
int choice = 1;
Voting vv(table,ranking,K,K);
winner=vv.voting(choice);
cout<<endl;
if (choice == 1)
cout << "schulze method : " << winner << endl;
else if (choice == 2)
cout << "comulative method: " << winner << endl;
else if (choice == 3)
cout << "copeland condorcet method: " << winner << endl;
else
cout << "ranked pairs method: " << winner << endl;
//计算满意度
float happiness=0;//一轮所有流的满意度和，越高越好,0<=满意度<=1
for (int i = 1; i <= K; i++)
happiness += table[i][i] / table[i][winner];//最好抉择评分/当前抉择评分
happiness_sum += happiness;
K_sum += K;
//如果流没有被安排进网络，就增加惩罚cost
for(int i=1;i<=K;i++)
if(table[i][winner]=10000) gv.judge_sum[winner]+=MAXPATH*gv.bw[i];
cout << "第" << req_constant - req_num << "轮整体满意度： " << happiness/K << endl;
cout << "多轮整体满意度和：" << happiness_sum / K_sum << endl;
cout << "多轮整体代价和: " << gv.judge_sum[winner] << endl;
//@@@@@@@@@@@@@@@@@End of Voting@@@@@@@@@@@@@@@@@@@@@@@@@
//@@@@@@@@@@@@@@@@@End of Voting@@@@@@@@@@@@@@@@@@@@@@@@@
//最优部署计算
g.cost_best.clear();
g.cost_LP.clear();
//cout<<"35 line"<<endl;
for(int i=0;i<reqN;i++)
{
//cout<<reqL[i]->src<<" "<<reqL[i]->dst<<" "<<reqL[i]->flow<<endl;
g.cost_best.push_back(reqL[i]->flow * g.dijkstra(reqL[i]->src,reqL[i]->dst,reqL[i]->flow));
}
cout<<endl<<" LP result "<<endl;
//线性规划部署
double result=0;
result=LP(&g,reqL);
//用线性规划解计算cost
result_sum += result;
cout<<"cost of this case is: "<<result<<endl;
cout<<"cost of all cases is: "<<result_sum<<endl;
//计算满意度
if(result==999999)
judge=0;
else
{
judge=0;
//for(int i=0;i<reqN;i++)
// cout<<g.cost_best[i]<<" "<<g.cost_LP[i]<<endl;
for(int i=0;i<reqN;i++)
judge += g.cost_best[i]/g.cost_LP[i];
}
judge_sum += judge;
req_sum += reqN;
cout<<"单轮满意度： "<<judge/reqN<<endl;
cout<<"多轮满意度： "<<judge_sum/req_sum<<endl;
}
//全局线性规划部署
cout<<endl<<" LP_ALL result "<<endl;
Graph g3("d:\\github\\CRANA_Voting\\graph2.txt");
double result3=0;
result3=LP(&g3,reqL_all);
cout<<"cost of all cases is: "<<result3<<endl;
cout<<"End of the Program"<<endl;
test.close();
reqRecord.close();
getchar();
return 0;
}
int main() {
openlog("nana", LOG_PID, LOG_DAEMON);
L("the temperature is falling - %d", 35);
LP(LOG_USER, "the snow is falling");
return 0;
}
void CoronaRenderer::defineLights()
{
// first get the globals node and serach for a directional light connection
MObject coronaGlobals = objectFromName(MString("coronaGlobals"));
MObjectArray nodeList;
MStatus stat;
if( this->mtco_renderGlobals->useSunLightConnection )
{
getConnectedInNodes(MString("sunLightConnection"), coronaGlobals, nodeList);
if( nodeList.length() > 0)
{
MObject sunObj = nodeList[0];
if(sunObj.hasFn(MFn::kTransform))
{
// we suppose what's connected here is a dir light transform
MVector lightDir(0, 0, 1); // default dir light dir
MFnDagNode sunDagNode(sunObj);
lightDir *= sunDagNode.transformationMatrix();
lightDir *= this->mtco_renderGlobals->globalConversionMatrix;
lightDir.normalize();
MObject sunDagObj = sunDagNode.child(0, &stat);
if( !stat )
logger.error("no child 0");
MColor sunColor(1);
float colorMultiplier = 1.0f;
if(sunDagObj.hasFn(MFn::kDirectionalLight))
{
MFnDependencyNode sunNode(sunDagObj);
getColor("color", sunNode, sunColor);
getFloat("mtco_sun_multiplier", sunNode, colorMultiplier);
}else{
logger.warning(MString("Sun connection is not a directional light - using transform only."));
}
sunColor *= colorMultiplier * 10000.0;
Corona::Sun sun;
sun.active = true;
sun.dirTo = Corona::Dir(lightDir.x, lightDir.y, lightDir.z).getNormalized();
sun.color = Corona::Rgb(sunColor.r,sunColor.g,sunColor.b);
sun.visibleDirect = true;
sun.visibleReflect = true;
sun.visibleRefract = true;
sun.sizeMultiplier = 2.0f;
this->context.scene->getSun() = sun;
}
}
}
for( size_t lightId = 0; lightId < this->mtco_scene->lightList.size(); lightId++)
{
mtco_MayaObject *obj = (mtco_MayaObject *)this->mtco_scene->lightList[lightId];
if(!obj->visible)
continue;
if( this->isSunLight(obj))
continue;
MFnDependencyNode depFn(obj->mobject);
if( obj->mobject.hasFn(MFn::kPointLight))
{
MColor col;
getColor("color", depFn, col);
float intensity = 1.0f;
getFloat("intensity", depFn, intensity);
int decay = 0;
getEnum(MString("decayRate"), depFn, decay);
MMatrix m = obj->transformMatrices[0] * this->mtco_renderGlobals->globalConversionMatrix;
Corona::Pos LP(m[3][0],m[3][1],m[3][2]);
PointLight *pl = new PointLight;
pl->LP = LP;
pl->distFactor = 1.0/this->mtco_renderGlobals->scaleFactor;
pl->lightColor = Corona::Rgb(col.r, col.g, col.b);
pl->lightIntensity = intensity;
getEnum(MString("decayRate"), depFn, pl->decayType);
this->context.scene->addLightShader(pl);
}
if( obj->mobject.hasFn(MFn::kSpotLight))
{
MVector lightDir(0, 0, -1);
MColor col;
getColor("color", depFn, col);
float intensity = 1.0f;
getFloat("intensity", depFn, intensity);
MMatrix m = obj->transformMatrices[0] * this->mtco_renderGlobals->globalConversionMatrix;
lightDir *= obj->transformMatrices[0] * this->mtco_renderGlobals->globalConversionMatrix;
lightDir.normalize();
Corona::Pos LP(m[3][0],m[3][1],m[3][2]);
SpotLight *sl = new SpotLight;
sl->LP = LP;
sl->lightColor = Corona::Rgb(col.r, col.g, col.b);
sl->lightIntensity = intensity;
sl->LD = Corona::Dir(lightDir.x, lightDir.y, lightDir.z);
sl->angle = 45.0f;
sl->distFactor = 1.0/this->mtco_renderGlobals->scaleFactor;
getEnum(MString("decayRate"), depFn, sl->decayType);
getFloat("coneAngle", depFn, sl->angle);
getFloat("penumbraAngle", depFn, sl->penumbraAngle);
getFloat("dropoff", depFn, sl->dropoff);
this->context.scene->addLightShader(sl);
}
if( obj->mobject.hasFn(MFn::kDirectionalLight))
{
MVector lightDir(0, 0, -1);
MColor col;
getColor("color", depFn, col);
float intensity = 1.0f;
getFloat("intensity", depFn, intensity);
MMatrix m = obj->transformMatrices[0] * this->mtco_renderGlobals->globalConversionMatrix;
lightDir *= m;
lightDir.normalize();
Corona::Pos LP(m[3][0],m[3][1],m[3][2]);
DirectionalLight *dl = new DirectionalLight;
dl->LP = LP;
dl->lightColor = Corona::Rgb(col.r, col.g, col.b);
dl->lightIntensity = intensity;
dl->LD = Corona::Dir(lightDir.x, lightDir.y, lightDir.z);
this->context.scene->addLightShader(dl);
}
if( obj->mobject.hasFn(MFn::kAreaLight))
{
logger.warning(MString("Area light: ") + obj->shortName + " not yet supported.");
MMatrix m = obj->transformMatrices[0] * this->mtco_renderGlobals->globalConversionMatrix;
obj->geom = defineStdPlane();
Corona::AnimatedAffineTm atm;
this->setAnimatedTransformationMatrix(atm, obj);
obj->instance = obj->geom->addInstance(atm, NULL, NULL);
//this->defineMaterial(obj->instance, obj);
}
}
}
void CoronaRenderer::updateLight(std::shared_ptr<MayaObject> mobj)
{
std::shared_ptr<mtco_MayaObject> obj(std::static_pointer_cast<mtco_MayaObject>(mobj));
if (obj->lightShader != nullptr)
{
if (this->context.scene->hasLightShader(obj->lightShader))
this->context.scene->deleteLightShader(obj->lightShader);
}
if (obj->removed)
return;
if (MayaTo::getWorldPtr()->renderType == MayaTo::MayaToWorld::WorldRenderType::IPRRENDER)
{
obj->transformMatrices.clear();
obj->transformMatrices.push_back(obj->dagPath.inclusiveMatrix());
}
MFnDependencyNode rGlNode(getRenderGlobalsNode());
MObject coronaGlobals = getRenderGlobalsNode();
std::shared_ptr<RenderGlobals> renderGlobals = MayaTo::getWorldPtr()->worldRenderGlobalsPtr;
std::shared_ptr<MayaScene> mayaScene = MayaTo::getWorldPtr()->worldScenePtr;
MObjectArray nodeList;
MStatus stat;
MFnDependencyNode glFn(getRenderGlobalsNode());
Corona::Rgb bgRgb = toCorona(getColorAttr("bgColor", glFn));
int bgType = getEnumInt("bgType", glFn);
MayaObject *sunLight = nullptr;
MFnDependencyNode depFn(obj->mobject);
if (obj->mobject.hasFn(MFn::kPointLight))
{
MColor col;
getColor("color", depFn, col);
float intensity = 1.0f;
getFloat("intensity", depFn, intensity);
int decay = 0;
getEnum(MString("decayRate"), depFn, decay);
MMatrix m = obj->transformMatrices[0] * renderGlobals->globalConversionMatrix;
Corona::Pos LP(m[3][0], m[3][1], m[3][2]);
PointLight *pl = new PointLight;
pl->LP = LP;
pl->distFactor = 1.0 / renderGlobals->scaleFactor;
pl->lightColor = Corona::Rgb(col.r, col.g, col.b);
pl->lightIntensity = intensity;
getEnum(MString("decayRate"), depFn, pl->decayType);
pl->lightRadius = getFloatAttr("lightRadius", depFn, 0.0) * renderGlobals->scaleFactor;
pl->doShadows = getBoolAttr("useRayTraceShadows", depFn, true);
col = getColorAttr("shadowColor", depFn);
pl->shadowColor = Corona::Rgb(col.r, col.g, col.b);
for (auto excludedObj : obj->excludedObjects)
{
pl->excludeList.nodes.push(excludedObj.get());
}
this->context.scene->addLightShader(pl);
obj->lightShader = pl;
}
if (obj->mobject.hasFn(MFn::kSpotLight))
{
MVector lightDir(0, 0, -1);
MColor col;
getColor("color", depFn, col);
float intensity = 1.0f;
getFloat("intensity", depFn, intensity);
MMatrix m = obj->transformMatrices[0] * renderGlobals->globalConversionMatrix;
lightDir *= obj->transformMatrices[0] * renderGlobals->globalConversionMatrix;
lightDir.normalize();
Corona::Pos LP(m[3][0], m[3][1], m[3][2]);
SpotLight *sl = new SpotLight;
sl->LP = LP;
sl->lightColor = Corona::Rgb(col.r, col.g, col.b);
sl->lightIntensity = intensity;
sl->LD = Corona::Dir(lightDir.x, lightDir.y, lightDir.z);
sl->angle = 45.0f;
sl->distFactor = 1.0 / renderGlobals->scaleFactor;
getEnum(MString("decayRate"), depFn, sl->decayType);
getFloat("coneAngle", depFn, sl->angle);
getFloat("penumbraAngle", depFn, sl->penumbraAngle);
getFloat("dropoff", depFn, sl->dropoff);
sl->lightRadius = getFloatAttr("lightRadius", depFn, 0.0) * renderGlobals->scaleFactor;
sl->doShadows = getBoolAttr("useRayTraceShadows", depFn, true);
col = getColorAttr("shadowColor", depFn);
sl->shadowColor = Corona::Rgb(col.r, col.g, col.b);
for (auto excludedObj : obj->excludedObjects)
{
sl->excludeList.nodes.push(excludedObj.get());
}
Corona::AffineTm tm;
setTransformationMatrix(sl->lightWorldInverseMatrix, m);
ShadingNetwork network(obj->mobject);
sl->lightColorMap = defineAttribute(MString("color"), depFn, network, oslRenderer);
this->context.scene->addLightShader(sl);
obj->lightShader = sl;
}
if (obj->mobject.hasFn(MFn::kDirectionalLight))
{
if (getBoolAttr("mtco_useAsSun", depFn, false))
{
if (sunLight != nullptr)
{
Logging::error(MString("A sun light is already defined, ignoring ") + obj->shortName);
return;
}
sunLight = obj.get();
MVector lightDir(0, 0, 1); // default dir light dir
lightDir *= obj->transformMatrices[0];
lightDir *= renderGlobals->globalConversionMatrix;
lightDir.normalize();
MColor sunColor(1);
MFnDependencyNode sunNode(obj->mobject);
getColor("color", sunNode, sunColor);
sunColor *= getFloatAttr("intensity", sunNode, 1.0f);
//float colorMultiplier colorMultiplier = getFloatAttr("mtco_sun_multiplier", sunNode, 1.0f);
const float intensityFactor = (1.f - cos(Corona::SUN_PROJECTED_HALF_ANGLE)) / (1.f - cos(getFloatAttr("sunSizeMulti", rGlNode, 1.0f) * Corona::SUN_PROJECTED_HALF_ANGLE));
sunColor *= intensityFactor * 1.0;// 2000000;
Corona::Sun sun;
Corona::ColorOrMap bgCoMap = this->context.scene->getBackground();
SkyMap *sky = dynamic_cast<SkyMap *>(bgCoMap.getMap());
Corona::Rgb avgColor(1, 1, 1);
if (sky != nullptr)
{
avgColor = sky->sc();
}
Corona::Rgb sColor(sunColor.r, sunColor.g, sunColor.b);
sun.color = sColor * avgColor;
sun.active = true;
sun.dirTo = Corona::Dir(lightDir.x, lightDir.y, lightDir.z).getNormalized();
//sun.color = Corona::Rgb(sunColor.r,sunColor.g,sunColor.b);
sun.visibleDirect = true;
sun.visibleReflect = true;
sun.visibleRefract = true;
sun.sizeMultiplier = getFloatAttr("sunSizeMulti", rGlNode, 1.0);
this->context.scene->getSun() = sun;
if (sky != nullptr)
{
sky->initSky();
this->context.scene->setBackground(bgCoMap);
avgColor = sky->sc();
this->context.scene->getSun().color = sColor * avgColor;
}
}
else{
MVector lightDir(0, 0, -1);
MVector lightDirTangent(1, 0, 0);
MVector lightDirBiTangent(0, 1, 0);
MColor col;
getColor("color", depFn, col);
float intensity = 1.0f;
getFloat("intensity", depFn, intensity);
MMatrix m = obj->transformMatrices[0] * renderGlobals->globalConversionMatrix;
lightDir *= m;
lightDirTangent *= m;
lightDirBiTangent *= m;
lightDir.normalize();
Corona::Pos LP(m[3][0], m[3][1], m[3][2]);
DirectionalLight *dl = new DirectionalLight;
dl->LP = LP;
dl->lightColor = Corona::Rgb(col.r, col.g, col.b);
dl->lightIntensity = intensity;
dl->LD = Corona::Dir(lightDir.x, lightDir.y, lightDir.z);
dl->LT = Corona::Dir(lightDirTangent.x, lightDirTangent.y, lightDirTangent.z);
dl->LBT = Corona::Dir(lightDirBiTangent.x, lightDirBiTangent.y, lightDirBiTangent.z);
dl->lightAngle = getFloatAttr("lightAngle", depFn, 0.0);
dl->doShadows = getBoolAttr("useRayTraceShadows", depFn, true);
col = getColorAttr("shadowColor", depFn);
dl->shadowColor = Corona::Rgb(col.r, col.g, col.b);
for (auto excludedObj : obj->excludedObjects)
{
dl->excludeList.nodes.push(excludedObj.get());
}
this->context.scene->addLightShader(dl);
obj->lightShader = dl;
}
}
if (obj->mobject.hasFn(MFn::kAreaLight))
{
MMatrix m = obj->transformMatrices[0] * renderGlobals->globalConversionMatrix;
if ( obj->geom == nullptr)
obj->geom = defineStdPlane();
obj->geom->deleteAllInstances();
Corona::AnimatedAffineTm atm;
this->setAnimatedTransformationMatrix(atm, obj);
obj->instance = obj->geom->addInstance(atm, nullptr, nullptr);
if (getBoolAttr("mtco_envPortal", depFn, false))
{
Corona::EnviroPortalMtlData data;
Corona::SharedPtr<Corona::IMaterial> mat = data.createMaterial();
Corona::IMaterialSet ms = Corona::IMaterialSet(mat);
obj->instance->addMaterial(ms);
}
else{
Corona::NativeMtlData data;
MColor lightColor = getColorAttr("color", depFn);
float intensity = getFloatAttr("intensity", depFn, 1.0f);
lightColor *= intensity;
Corona::ColorOrMap com;
// experimental direct corona texture
if (getBoolAttr("mtco_noOSL", depFn, false))
{
MObject fileNode = getConnectedInNode(obj->mobject, "color");
if ((fileNode != MObject::kNullObj) && (fileNode.hasFn(MFn::kFileTexture)))
{
MFnDependencyNode fileDep(fileNode);
mtco_MapLoader loader(fileNode);
Corona::SharedPtr<Corona::Abstract::Map> texmap = loader.loadBitmap("");
com = Corona::ColorOrMap(bgRgb, texmap);
}
}
else
{
com = defineAttribute(MString("color"), obj->mobject, oslRenderer);
OSLMap *oslmap = (OSLMap *)com.getMap();
if (oslmap != nullptr)
{
oslmap->multiplier = intensity;
}
else{
Corona::Rgb col = com.getConstantColor() * intensity;
com.setColor(col);
}
}
data.emission.color = com;
data.castsShadows = getBoolAttr("mtco_castShadows", depFn, false);
for (auto excludedObj : obj->excludedObjects)
{
data.emission.excluded.nodes.push(excludedObj.get());
}
data.emission.disableSampling = false;
data.emission.useTwoSidedEmission = getBoolAttr("mtco_doubleSided", depFn, false);
Corona::SharedPtr<Corona::IMaterial> mat = data.createMaterial();
Corona::IMaterialSet ms = Corona::IMaterialSet(mat);
ms.visibility.direct = getBoolAttr("mtco_areaVisible", depFn, true);
ms.visibility.reflect = getBoolAttr("mtco_visibleInReflection", depFn, true);
ms.visibility.refract = getBoolAttr("mtco_visibleInRefraction", depFn, true);
obj->instance->addMaterial(ms);
}
}
}
void resize(L l, I s, I c) { // Assume resizing up
if (l->c>=c) return; l->p=realloc(l->p, s*c);
if (l->l+l->o > l->c) memcpy(LP(l)+s*l->c, LP(l), s*(l->l+l->o-l->c));
l->c=c;
}
int main()
{
srand((unsigned)time(NULL));
string graph_address="graph_all.txt";
VGraph gv(graph_address);//Voting用的图
PGraph gp(graph_address);//LP用的图
VGraph gv_flow(graph_address); //Flow Voting用的图
vector<Voter*> flowL;//记录所有的流实例
vector<Voter*> voterL;//记录所有的投票者
vector<Voter*> candiL;//记录所有的候选者
int voting_choice=1;
//收集每一轮投票的结果
vector<double> app_happiness, voting_happiness, network_happiness;
vector<double> app_delay, voting_delay, network_delay;
vector<double> app_te, voting_te, network_te;
vector<double> app_load, voting_load, network_load;
//记录当前时间
time_t tt = time(NULL);//这句返回的只是一个时间cuo
tm* t= localtime(&tt);
string s="result";
stringstream ss1;
ss1<<t->tm_year+1900;
s.append(ss1.str());
stringstream ss2;
ss2<<t->tm_mon+1;
s.append(ss2.str());
stringstream ss3;
ss3<<t->tm_mday;
s.append(ss3.str());
stringstream ss4;
ss4<<t->tm_hour;
s.append(ss4.str());
stringstream ss5;
ss5<<t->tm_min;
s.append(ss5.str());
s.append(".txt");
cout<<"current output file : "<<s<<endl;
ofstream outfile(s);//最后一个case的结果
ofstream req_outfile("req_outfile.txt");
outfile<<graph_address<<"网络拓扑 caseN: "<<caseN<<endl;
outfile<<"flow Range: "<<Begin_num<<"--"<<Maxflow+Begin_num-1<<endl<<endl;
outfile<<"current output file : "<<s<<endl;
vector<Req*> reqL;
double table[M2C+1][N2C+1] = {0};
int ranking[N2C+1]={0};//记录一种排序的投票人数
double happiness_sum=0;
for(int j=1;j<=Voternum;j++)
ranking[j]=1;//每种投票结果有1个voter,如果为2就说明该方案有得到两个voter的票
Voter* net_lb = new Network_LB(Maxreq,1);// Maxreq是投票者id, 1 表示网络投票者
ranking[Voternum]=5;//给网络投票者更多的票数
//Maxreq+1是投票者id，2表示中立投票者
Voter* neutral_low = new Neutral(Maxreq+1, 2); // te = 胜者TE基础上+5%
Voter* neutral_middle = new Neutral(Maxreq+2, 2); // te = 胜者TE基础上+10%
Voter* neutral_high = new Neutral(Maxreq+3, 2); // te = 胜者TE基础上+20%
//初次 修改neutral的te值
neutral_low->te = 0.3;
neutral_middle->te = 0.4;
neutral_high->te = 0.5;
//******** Flow Voting Variables *******
vector<Voter*> flowL_flow;//记录Flow Voting所有的流实例
vector<Voter*> voterL_flow;//记录Flow Voting所有的投票者
vector<Voter*> candiL_flow;//记录Flow Voting所有的候选者
double table_flow[M2C+1][N2C+1] = {0};
int ranking_flow[N2C+1]={0};//记录一种排序的投票人数
double happiness_sum_flow=0;
for(int j=1;j<=Maxreq;j++)
ranking_flow[j]=1;//每种投票结果有1个voter,如果为2就说明该方案有得到两个voter的票
for(int i=0;i<caseN;i++)
{
cout<<endl<<"*************************"<<" case "<<i<<"*************************"<<endl;
outfile<<endl<<"*************************"<<" case "<<i<<"*************************"<<endl;
//初始化
for(int j=0;j<Voternum;j++)
for(int k=0;k<Voternum+3;k++)
{
table[j][k]=0;
table_flow[j][k]=0;//table_flow的有效数据范围是table的子集
}
req_outfile<<"case "<<i<<endl;
//以下程序时防止每个case都会创建的Req导致的内存泄露
vector<Req*>::iterator it,iend;
iend=reqL.end();
for(it=reqL.begin();it!=iend;it++)
delete(*it);
//删除上一个case的流需求
reqL.clear();
gv.reqL.clear();
gv_flow.reqL.clear();
if(i==0){
for(int j=0;j<Maxreq;j++)
{
int a=0,b=0,c=0;
while(1){
c = Begin_num + rand()%Maxflow;
//if(c!=0) break;
a = rand()%N;
b = rand()%N;
if(a!=b && c!=0) break;
}
//a=0;b=1;c=10;
Req* r = new Req(j,a,b,c);
reqL.push_back(r);
gv.reqL.push_back(r);
gv_flow.reqL.push_back(r);
Voter* flow_now = new Flow(j,0,a,b,c);
Voter* flow_now_flow = new Flow(j,0,a,b,c);//Flow Voting use
flowL.push_back(flow_now);
voterL.push_back(flow_now);
candiL.push_back(flow_now);
flowL_flow.push_back(flow_now_flow);
voterL_flow.push_back(flow_now_flow);
candiL_flow.push_back(flow_now_flow);
req_outfile<<j<<" "<<a<<" "<<b<<" "<<c<<endl;
}
voterL.push_back(net_lb);
candiL.push_back(net_lb);
candiL.push_back(neutral_low);
candiL.push_back(neutral_middle);
candiL.push_back(neutral_high);
}
else{
for(int j=0;j<Maxreq;j++)
{
int a=0,b=0,c=0;
while(1){
c = Begin_num + rand()%Maxflow;
//if(c!=0) break;
a = rand()%N;
b = rand()%N;
if(a!=b && c!=0) break;
}
//a=0;b=1;c=10;
Req* r = new Req(j,a,b,c);
reqL.push_back(r);
gv.reqL.push_back(r);
gv_flow.reqL.push_back(r);
flowL[j]->modify(a,b,c);
//candiL[j]->modify(a,b,c);
flowL_flow[j]->modify(a,b,c);
//candiL_flow[j]->modify(a,b,c);
req_outfile<<j<<" "<<a<<" "<<b<<" "<<c<<endl;
}
net_lb->modify(0,0,0);
neutral_low->modify(0,0,0);
neutral_middle->modify(0,0,0);
neutral_high->modify(0,0,0);
}
//cout<<"init completed"<<endl;
//************************************** Flow Voting **************************************
//************************************** Flow Voting **************************************
//only flows' proposal can be voted for a winner
//算最完美方案，所有的路都第一个走得到的方案
for(int j=0;j<Maxreq;j++)
gv_flow.cost_best[j] = gv.dijkstra(reqL[j]->src,reqL[j]->dst,reqL[j]->flow,flowL_flow[0]->adj);
//for(int j=0;j<Maxreq;j++)
//cout<<"gv.cost_best "<<j<<" : "<<gv.cost_best[j]<<endl;
//提方案
for(int j=0;j<candiL_flow.size();j++)
candiL_flow[j]->propose(gv_flow);
//cout<<"提出方案结束"<<endl;
//评价方案
for(int j=0;j<voterL_flow.size();j++)
voterL_flow[j]->evaluate(gv_flow,candiL_flow);
//cout<<"评价方案结束"<<endl;
//投票算法, 投票算法的输入是从1开始的，但是judge是从0开始的，所以需要调整一下
for(int j=0;j<voterL_flow.size();j++)
for(int k=0;k<candiL_flow.size();k++)
{
//该操作在evaluate时候就惩罚----不用if(voterL[j]->judge[k]==0) table[j+1][k+1]=10000;//如果是0，说明流没有摆在网络中
table_flow[j+1][k+1]=voterL_flow[j]->judge[k];
}
cout<<endl<<"voting uses ";
int choice_flow=voting_choice;//选择一种投票算法
int winner_flow=0;
Voting vv_flow(table_flow,ranking_flow,voterL_flow.size(),candiL_flow.size());
winner_flow=vv_flow.voting(choice_flow);
winner_flow=winner_flow-1;//将结果还是按照从0开始编号
if (choice_flow == 1)
cout << "schulze method : " << winner_flow << endl;
else if (choice_flow == 2)
cout << "comulative method: " << winner_flow << endl;
else if (choice_flow == 3)
cout << "copeland condorcet method: " << winner_flow << endl;
else
cout << "ranked pairs method: " << winner_flow << endl;
// table show
for(int i=1;i<=voterL_flow.size();i++)
{
cout<<"flow ";
cout.setf(ios::right);
cout.width(3);
cout<<i-1<<" judge: ";
for(int j=1;j<=candiL_flow.size();j++){
cout.setf(ios::left);
cout.width(5);
cout<<table_flow[i][j]<<" ";
}
cout<<endl;
}
cout<<endl;
// file record of table show
outfile<<endl;
for(int i=1;i<=voterL_flow.size();i++)
{
outfile<<"flow ";
outfile.setf(ios::right);
outfile.width(3);
outfile<<i-1<<" judge: ";
for(int j=1;j<=candiL_flow.size();j++){
outfile.setf(ios::left);
outfile.width(5);
outfile<<table_flow[i][j]<<" ";
}
outfile<<endl;
}
outfile<<endl;
//计算满意度
double happiness_flow=0;//一轮所有流的满意度和，越高越好,0<=满意度<=1
for(int j=1;j<=Maxreq;j++)
happiness_flow += gv_flow.cost_best[j-1]/table_flow[j][winner_flow+1];//最好抉择评分/当前抉择评分
happiness_sum_flow += happiness_flow;
//计算方案部署后当前总的cost，如果流没有被安排进网络，就增加惩罚cost
//统计网络latency
double latencyVoting_flow=0;
latencyVoting_flow=judge_sum_function(gv_flow,candiL_flow,winner_flow);
cout << "winner = "<<winner_flow<<endl;
cout << "第" << i << "轮整体满意度： " << happiness_flow/Maxreq << endl;
cout << "多轮满意度：" << happiness_sum_flow/ ((i+1)*Maxreq) << endl;
cout << "多轮整体延时和: " << latencyVoting_flow << endl;
double maxUtil_Voting_flow=0;
double loadNUM_flow=0;//统计网络负载
for(int j=0;j<gv_flow.m;j++)
{
int src=gv_flow.incL[j]->src;
int dst=gv_flow.incL[j]->dst;
loadNUM_flow+=flowL_flow[winner_flow]->adj[src][dst];
double capacity=gv_flow.incL[j]->capacity;
if(maxUtil_Voting_flow<(flowL_flow[winner_flow]->adj[src][dst]/capacity))
maxUtil_Voting_flow=flowL_flow[winner_flow]->adj[src][dst]/capacity;
}
cout<<"最大链路利用率: "<<maxUtil_Voting_flow<<endl;
//文件记录
outfile<<"Case "<<i<<" Flow Voting Result"<<endl;
outfile << "winner = "<<winner_flow<<endl;
outfile << "第" << i << "轮整体满意度： " << happiness_flow/Maxreq << endl;
outfile << "多轮满意度：" << happiness_sum_flow/ ((i+1)*Maxreq) << endl;
outfile << "多轮整体延时和: " << latencyVoting_flow << endl;
outfile <<"最大链路利用率: "<<maxUtil_Voting_flow<<endl;
outfile <<"网络负载"<<loadNUM_flow<<endl;
app_happiness.push_back(happiness_sum_flow/ ((i+1)*Maxreq));
app_delay.push_back(latencyVoting_flow);
app_te.push_back(maxUtil_Voting_flow);
app_load.push_back(loadNUM_flow);
//胜利的方案部署
for(int j=0;j<candiL_flow.size();j++)
candiL_flow[j]->end_implement(gv_flow,winner_flow,candiL_flow);
cout<<endl;
//************************************** End of Flow Voting **************************************
//************************************** End of Flow Voting **************************************
//@@@@@@@@@@@@@@@@ Voting @@@@@@@@@@@@@@@@@@@@@@
//@@@@@@@@@@@@@@@@ Voting @@@@@@@@@@@@@@@@@@@@@@
//算最完美方案，所有的路都第一个走得到的方案
for(int j=0;j<Maxreq;j++)
gv.cost_best[j] = gv.dijkstra(reqL[j]->src,reqL[j]->dst,reqL[j]->flow,flowL[0]->adj);
//for(int j=0;j<Maxreq;j++)
//cout<<"gv.cost_best "<<j<<" : "<<gv.cost_best[j]<<endl;
//提方案
for(int j=0;j<candiL.size();j++)
candiL[j]->propose(gv);
//cout<<"提出方案结束"<<endl;
//评价方案
for(int j=0;j<voterL.size();j++)
voterL[j]->evaluate(gv,candiL);
//cout<<"评价方案结束"<<endl;
//投票算法, 投票算法的输入是从1开始的，但是judge是从0开始的，所以需要调整一下
for(int j=0;j<voterL.size();j++)
for(int k=0;k<candiL.size();k++)
{
//该操作在evaluate时候就惩罚----不用if(voterL[j]->judge[k]==0) table[j+1][k+1]=10000;//如果是0，说明流没有摆在网络中
table[j+1][k+1]=voterL[j]->judge[k];
}
cout<<endl<<"voting uses ";
int choice=voting_choice;//选择一种投票算法
int winner=0;
Voting vv(table,ranking,voterL.size(),candiL.size());
winner=vv.voting(choice);
winner=winner-1;//将结果还是按照从0开始编号
outfile<<endl<<"beat_record: ";
for(int i=1;i<=candiL.size();i++)
outfile<<vv.beat_record[i]<<" ";
outfile<<endl;
if (choice == 1)
cout << "schulze method : " << winner << endl;
else if (choice == 2)
cout << "comulative method: " << winner << endl;
else if (choice == 3)
cout << "copeland condorcet method: " << winner << endl;
else
cout << "ranked pairs method: " << winner << endl;
// table show
for(int i=1;i<=voterL.size();i++)
{
cout<<"flow ";
cout.setf(ios::right);
cout.width(3);
cout<<i-1<<" judge: ";
for(int j=1;j<=candiL.size();j++){
cout.setf(ios::left);
cout.width(5);
cout<<table[i][j]<<" ";
}
cout<<endl;
}
cout<<endl;
// file record of table show
outfile<<endl;
for(int i=1;i<=voterL.size();i++)
{
outfile<<"flow ";
outfile.setf(ios::right);
outfile.width(3);
outfile<<i-1<<" judge: ";
for(int j=1;j<=candiL.size();j++){
outfile.setf(ios::left);
outfile.width(5);
outfile<<table[i][j]<<" ";
}
outfile<<endl;
}
outfile<<endl;
//计算满意度
double happiness=0;//一轮所有流的满意度和，越高越好,0<=满意度<=1
for(int j=1;j<=Maxreq;j++)
happiness += gv.cost_best[j-1]/table[j][winner+1];//最好抉择评分/当前抉择评分
happiness_sum += happiness;
//计算方案部署后当前总的cost，如果流没有被安排进网络，就增加惩罚cost
//统计网络latency
double latencyVoting=0;
latencyVoting=judge_sum_function(gv,candiL,winner);
cout << "winner = "<<winner<<endl;
cout << "第" << i << "轮整体满意度： " << happiness/Maxreq << endl;
cout << "多轮满意度：" << happiness_sum / ((i+1)*Maxreq) << endl;
cout << "多轮整体延时和: " << latencyVoting << endl;
double maxUtil_Voting=0;
maxUtil_Voting=voterL[Maxreq]->judge[winner];
cout<<"最大链路利用率: "<<maxUtil_Voting<<endl;
double loadNUM_voting=0;
for(int j=0;j<gv.m;j++)
{
int src=gv.incL[j]->src;
int dst=gv.incL[j]->dst;
loadNUM_voting+=candiL[winner]->adj[src][dst];
}
//文件记录
outfile<<"Case "<<i<<" Voting Result"<<endl;
outfile << "winner = "<<winner<<endl;
outfile << "第" << i << "轮整体满意度： " << happiness/Maxreq << endl;
outfile << "多轮满意度：" << happiness_sum / ((i+1)*Maxreq) << endl;
outfile << "多轮整体延时和: " << latencyVoting << endl;
outfile <<"最大链路利用率: "<<maxUtil_Voting<<endl;
outfile <<"网络负载"<<loadNUM_voting<<endl;
voting_happiness.push_back(happiness_sum / ((i+1)*Maxreq));
voting_delay.push_back(latencyVoting);
voting_te.push_back(maxUtil_Voting);
voting_load.push_back(loadNUM_voting);
//胜利的方案部署
for(int j=0;j<candiL.size();j++)
candiL[j]->end_implement(gv,winner,candiL);
//修改neutral的te值
neutral_low->te = maxUtil_Voting + 0.05;
neutral_middle->te = maxUtil_Voting + 0.1;
neutral_high->te = maxUtil_Voting + 0.2;
cout<<endl;
//@@@@@@@@@@@@@@@@@End of Voting@@@@@@@@@@@@@@@@@@@@@@@@@
//@@@@@@@@@@@@@@@@@End of Voting@@@@@@@@@@@@@@@@@@@@@@@@@
//分段规划部分
cout<<endl<<" LP result "<<endl;
//judge_LP记录单轮满意度总和，judge_sum_LP记录多轮满意度总和
double judge_LP=0;
static double judge_sum_LP=0;
//最优部署计算
for(int j=0;j<Maxreq;j++)
gp.cost_best[j] =gp.dijkstra(reqL[j]->src,reqL[j]->dst,reqL[j]->flow);
//线性规划部署
double result_LP=0;//TE结果
result_LP=LP(&gp,reqL);
//计算满意度
if(result_LP==Inf)judge_LP=0;
else
{
judge_LP=0;
//for(int i=0;i<Maxreq;i++)
//cout<<gp.cost_best[i]<<" "<<gp.cost_LP[i]<<endl;
for(int j=0;j<Maxreq;j++)
judge_LP += gp.cost_best[j]/gp.cost_LP[j];
}
judge_sum_LP += judge_LP;
cout<<"单轮满意度： "<<judge_LP/Maxreq<<endl;
cout<<"多轮满意度： "<<judge_sum_LP/(Maxreq*(i+1))<<endl;
double latency_LP=0;
latency_LP=judge_sum_LP_function(gp);
cout << "多轮整体延时和: " << latency_LP << endl;
cout<<"最大链路利用率: "<<result_LP<<endl;
double loadNUM_network=0;
for(int j=0;j<gp.m;j++)
{
int src=gp.incL[j]->src;
int dst=gp.incL[j]->dst;
loadNUM_network+=gp.adj[src][dst];
}
//文件记录
outfile<<"Case "<<i<<" LP Result"<<endl;
outfile<<"单轮满意度： "<<judge_LP/Maxreq<<endl;
outfile<<"多轮满意度： "<<judge_sum_LP/(Maxreq*(i+1))<<endl;
outfile << "多轮整体延时和: " << latency_LP << endl;
outfile<<"最大链路利用率: "<<result_LP<<endl;
outfile <<"网络负载"<<loadNUM_network<<endl;
network_happiness.push_back(judge_sum_LP/(Maxreq*(i+1)));
network_delay.push_back(latency_LP);
network_te.push_back(result_LP);
network_load.push_back(loadNUM_network);
/*
cout<<"单轮最大剩余链路利用率: "<<result_LP<<endl;
double maxUtil_LP=0;
for(int j=0;j<gp.m;j++)
{
int src=gp.incL[j]->src;
int dst=gp.incL[j]->dst;
float capacity=gp.incL[j]->capacity;
if(maxUtil_LP<(gp.adj[src][dst]/capacity))
maxUtil_LP=gp.adj[src][dst]/capacity;
}
*/
/*
if(i==(caseN-1)){
outfile << "LP result"<<endl;
outfile<<"单轮满意度： "<<judge_LP/Maxreq<<endl;
outfile<<"多轮满意度： "<<judge_sum_LP/(Maxreq*(i+1))<<endl;
outfile<<"多轮整体代价和: "<<result_sum_LP<<endl;
}
*/
}//一个case结束
//happiness results: 三行结果分别是app voting network的满意度
outfile<<endl;
outfile<<"happiness results: app voting network"<<endl;
for(int i=0;i<caseN;i++)
{
outfile<<app_happiness[i]<<",";
}
outfile<<endl;
for(int i=0;i<caseN;i++)
{
outfile<<voting_happiness[i]<<",";
}
outfile<<endl;
for(int i=0;i<caseN;i++)
{
outfile<<network_happiness[i]<<",";
}
//delay results
outfile<<endl;
outfile<<"delay results: app voting network"<<endl;
for(int i=0;i<caseN;i++)
{
outfile<<app_delay[i]<<",";
}
outfile<<endl;
for(int i=0;i<caseN;i++)
{
outfile<<voting_delay[i]<<",";
}
outfile<<endl;
for(int i=0;i<caseN;i++)
{
outfile<<network_delay[i]<<",";
}
//te results
outfile<<endl;
outfile<<"te results: app voting network"<<endl;
for(int i=0;i<caseN;i++)
{
outfile<<app_te[i]<<",";
}
outfile<<endl;
for(int i=0;i<caseN;i++)
{
outfile<<voting_te[i]<<",";
}
outfile<<endl;
for(int i=0;i<caseN;i++)
{
outfile<<network_te[i]<<",";
}
outfile<<endl;
//load results
outfile<<endl;
outfile<<"load results: app voting network"<<endl;
for(int i=0;i<caseN;i++)
{
outfile<<app_load[i]<<",";
}
outfile<<endl;
for(int i=0;i<caseN;i++)
{
outfile<<voting_load[i]<<",";
}
outfile<<endl;
for(int i=0;i<caseN;i++)
{
outfile<<network_load[i]<<",";
}
outfile<<endl;
getchar();
return 0;
}
int main()
{
srand((unsigned)time(NULL));
VGraph gv("graph_all.txt");//Voting用的图
PGraph gp("graph_all.txt");//LP用的图
ofstream outfile("result.txt");//最后一个case的输出结果
//ofstream req_outfile("d:\\github\\req_outfile.txt");
outfile<<"graph_all网络拓扑"<<endl;
outfile<<"flow Range: "<<Begin_num<<"--"<<Maxflow+Begin_num-1<<endl;
outfile<<"caseN = "<<caseN<<" Maxreq = "<<Maxreq<<endl;
outfile<<"STARTUP = "<<STARTUP<<endl<<endl;
vector<Flow*> flowL;//记录所有的流实例
double judge_LP=0,judge_sum_LP=0;
vector<Req*> reqL;
double table[M2C+1][N2C+1] = {0};
int ranking[N2C+1]={0};//记录一种排序的投票人数
double happiness_sum=0;
for(int test=1;test<=1;test++)
{
outfile<<"test "<<test<<endl;
//每个test的初始化操作
flowL.clear();
judge_LP=0;
judge_sum_LP=0;
reqL.clear();
happiness_sum=0;
int links_size = gp.incL.size();
for(int j=0;j<links_size;j++)
gp.adj[gp.incL[j]->src][gp.incL[j]->dst]=0;
for(int j=0;j<M2C+1;j++)
for(int jj=0;jj<N2C+1;jj++)
table[j][jj]=0;
for(int j=1;j<=Maxreq;j++)
ranking[j]=1;//每种投票结果有1个voter,如果为2就说明该方案有得到两个voter的票
for(int i=0;i<caseN;i++)
{
cout<<endl<<"*************************"<<" case "<<i<<"*************************"<<endl;
//初始化
for(int j=0;j<Maxreq;j++)
for(int k=0;k<Maxreq;k++)
table[j][k]=0;
//req_outfile<<"case "<<i<<endl;
reqL.clear();
gv.reqL.clear();
if(i==0){
for(int j=0;j<Maxreq;j++)
{
int a=0,b=0,c=0;
while(1){
c = Begin_num + rand()%Maxflow;
//if(c!=0) break;
a = rand()%N;
b = rand()%N;
if(a!=b && c!=0) break;
}
//a=0;b=1;c=10;
Req* r = new Req(j,a,b,c);
reqL.push_back(r);
gv.reqL.push_back(r);
Flow* flow_now = new Flow(j,a,b,c);
flowL.push_back(flow_now);
//req_outfile<<j<<" "<<a<<" "<<b<<" "<<c<<endl;
}
}
else{
for(int j=0;j<Maxreq;j++)
{
int a=0,b=0,c=0;
while(1){
c = Begin_num + rand()%Maxflow;
//if(c!=0) break;
a = rand()%N;
b = rand()%N;
if(a!=b && c!=0) break;
}
//a=0;b=1;c=10;
Req* r = new Req(j,a,b,c);
reqL.push_back(r);
gv.reqL.push_back(r);
flowL[j]->flow_modify(a,b,c);
//req_outfile<<j<<" "<<a<<" "<<b<<" "<<c<<endl;
}
}
//@@@@@@@@@@@@@@@@ Voting @@@@@@@@@@@@@@@@@@@@@@
//@@@@@@@@@@@@@@@@ Voting @@@@@@@@@@@@@@@@@@@@@@
//算最完美方案，所有的路都第一个走得到的方案
for(int j=0;j<Maxreq;j++)
gv.cost_best[j] = reqL[j]->flow * (gv.dijkstra(reqL[j]->src,reqL[j]->dst,reqL[j]->flow,flowL[0]->adj) - reqL[j]->flow);
//for(int j=0;j<Maxreq;j++)
//cout<<j<<" gv.cost_best[j]="<<gv.cost_best[j]<<endl;
//提方案
for(int j=0;j<Maxreq;j++)
flowL[j]->propose(gv,flowL);
//评价方案
for(int j=0;j<Maxreq;j++)
flowL[j]->evaluate(gv,flowL);
//投票算法
for(int j=0;j<Maxreq;j++)
for(int k=0;k<Maxreq;k++)
{
if(flowL[j]->judge[k]==0) table[j+1][k+1]=0;//如果是0，说明流没有摆在网络中
else table[j+1][k+1]=flowL[j]->judge[k];
}
cout<<endl<<"voting uses ";
int choice=1;//选择一种投票算法
int winner=0;
Voting vv(table,ranking,Maxreq,Maxreq);
winner=vv.voting(choice);
if (choice == 1)
cout << "schulze method : " << winner << endl;
else if (choice == 2)
cout << "comulative method: " << winner << endl;
else if (choice == 3)
cout << "copeland condorcet method: " << winner << endl;
else
cout << "ranked pairs method: " << winner << endl;
/*
// table show
for(int i=1;i<=Maxreq;i++)
{
cout<<"flow ";
cout.setf(ios::right);
cout.width(3);
cout<<i-1<<" judge: ";
for(int j=1;j<=Maxreq;j++){
cout.setf(ios::left);
cout.width(5);
cout<<table[i][j]<<" ";
}
cout<<endl;
}
cout<<endl;
*/
//输出比best更好的结果
for(int i=1;i<=Maxreq;i++)
{
for(int j=1;j<=Maxreq;j++)
{
if(table[i][j]>gv.cost_best[i-1]) {
cout<<"%%%%%%%%%%%%%%%%当前方案值比最优值还好error i:"<<i-1<<" j:"<<j-1<<endl;
break;
}
}
}
//计算满意度
double happiness=0;//一轮所有流的满意度和，越高越好,0<=满意度<=1
for(int j=1;j<=Maxreq;j++)
happiness += (double)table[j][winner]/gv.cost_best[j-1];//最好抉择评分/当前抉择评分
happiness_sum += happiness;
//计算方案部署后当前总的cost，如果流没有被安排进网络，就增加惩罚cost
//统计网络latency
double latencyVoting=0;
latencyVoting=judge_sum_function(gv,flowL,winner-1);
for(int j=0;j<Maxreq;j++)
if(table[j+1][winner]==10000) {
cout<<"触发惩罚机制"<<endl;
latencyVoting += Maxpath * reqL[j]->flow;
}
cout << "第" << i << "轮整体满意度： " << happiness/Maxreq << endl;
cout << "多轮满意度：" << happiness_sum / ((i+1)*Maxreq) << endl;
cout << "多轮整体延时和: " << latencyVoting << endl;
//统计网络能耗
double energy_Voting=0;
double maxUtil_Voting=0;
for(int j=0;j<gp.m;j++)
{
int src=gv.incL[j]->src;
int dst=gv.incL[j]->dst;
double capacity=gv.incL[j]->capacity;
if(maxUtil_Voting<((double)flowL[winner-1]->adj[src][dst]/capacity))
maxUtil_Voting=(double)flowL[winner-1]->adj[src][dst]/capacity;
if(flowL[winner-1]->adj[src][dst]>0)
energy_Voting += flowL[winner-1]->adj[src][dst] * flowL[winner-1]->adj[src][dst] + STARTUP;
}
cout<<"网络能耗："<<energy_Voting<<endl;
cout<<"最大链路利用率: "<<maxUtil_Voting<<endl;
//voting结果输出到文件中
if(i == (caseN-1))
{
outfile <<endl<<" Voting Result "<<endl;
outfile << "第" << i << "轮整体满意度： " << happiness/Maxreq << endl;
outfile << "多轮满意度：" << happiness_sum / ((i+1)*Maxreq) << endl;
outfile << "多轮整体延时和: " << latencyVoting << endl;
outfile << "网络能耗：" << energy_Voting <<endl;
outfile << "最大链路利用率: "<<maxUtil_Voting<<endl;
}
//胜利的方案部署
for(int j=0;j<Maxreq;j++)
{
for(int k1=0;k1<N;k1++)
for(int k2=0;k2<N;k2++)
{
//cout<<j<<" "<<k1<<" "<<k2<<endl;
flowL[j]->adj[k1][k2]=flowL[winner-1]->adj[k1][k2];
}
}
cout<<endl;
//@@@@@@@@@@@@@@@@@End of Voting@@@@@@@@@@@@@@@@@@@@@@@@@
//@@@@@@@@@@@@@@@@@End of Voting@@@@@@@@@@@@@@@@@@@@@@@@@
//分段规划部分
cout<<endl<<" LP result "<<endl;
//最优部署计算，cost_best代表的值和可用带宽有关
for(int j=0;j<Maxreq;j++)
gp.cost_best[j] = reqL[j]->flow * (gp.dijkstra(reqL[j]->src,reqL[j]->dst,reqL[j]->flow) - reqL[j]->flow);
//for(int j=0;j<Maxreq;j++)
//cout<<"cost_best "<<"j"<<" ："<<gp.cost_best[j]<<endl;
//线性规划部署
double result_LP=0;
result_LP=LP(&gp,reqL);
//计算满意度
if(result_LP==Inf)judge_LP=0;
else
{
judge_LP=0;
//for(int i=0;i<Maxreq;i++)
//cout<<gp.cost_best[i]<<" "<<gp.cost_LP[i]<<endl;
for(int j=0;j<Maxreq;j++)
judge_LP += (double)gp.cost_LP[j]/gp.cost_best[j];
}
judge_sum_LP += judge_LP;
cout<<"单轮满意度： "<<judge_LP/Maxreq<<endl;
cout<<"多轮满意度： "<<judge_sum_LP/(Maxreq*(i+1))<<endl;
double latency_LP=0;
latency_LP=judge_sum_LP_function(gp,flowL);
cout << "多轮整体延时和: " << latency_LP << endl;
cout<<"网络能耗: "<<result_LP<<endl;
//统计网络最大链路利用率
double maxUtil_LP=0;
for(int j=0;j<gp.m;j++)
{
int src=gp.incL[j]->src;
int dst=gp.incL[j]->dst;
float capacity=gp.incL[j]->capacity;
if(maxUtil_LP<(gp.adj[src][dst]/capacity))
maxUtil_LP=gp.adj[src][dst]/capacity;
}
cout<<"最大链路利用率: "<<maxUtil_LP<<endl;
//voting结果输出到文件中
if(i==(caseN-1))
{
outfile <<endl<<" LP result "<<endl;
outfile << "单轮满意度： "<<judge_LP/Maxreq<<endl;
outfile << "多轮满意度： "<<judge_sum_LP/(Maxreq*(i+1))<<endl;
outfile << "多轮整体延时和: " << latency_LP << endl;
outfile << "网络能耗: "<<result_LP<<endl;
outfile<<"最大链路利用率: "<<maxUtil_LP<<endl;
}
}//一个case结束
}//一个test结束
getchar();
return 0;
}
