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DATE 2017-02-01

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MESSAGE
DATE 2017-02-28
FROM Christopher League
SUBJECT Re: [Learn] decision making tree for a euler walk
From learn-bounces-at-nylxs.com Tue Feb 28 16:36:26 2017
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From: Christopher League
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Subject: Re: [Learn] decision making tree for a euler walk
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I can't believe you influenced me to try this, but I converted my
previous Euler solution to avoid maps, sets, typedefs, and iterators.
Instead it uses a vertex class and bunches of pointers. There is one
usage of `std::find` from `` -- in order to remove a
particular element from a vector (and that uses an iterator behind the
scenes, but I didn't have to declare `something::iterator` anywhere).

CL

~~~~ {.cpp}
// euler3.cpp
#include
#include
#include
#include
#include "assertions.hh"
#define LOG_LEVEL LOG_TRACE
#include "debug-log.hh"
using namespace std;

template
struct vertex {
vertex(const T& _data) : data(_data) { }
void add_edge(vertex* dest);
void remove_edge(vertex* dest);
int degree() { return edges.size(); }
ostream& show(ostream&);
void add_directed_edge(vertex* dest) { edges.push_back(dest); }
void remove_directed_edge(vertex* dest);
T data;
vector*> edges;
};

// This adds undirected edge (both directions).
template
void vertex::add_edge(vertex* dest)
{
assert(dest !=3D NULL);
add_directed_edge(dest);
dest->add_directed_edge(this);
}

template
void vertex::remove_edge(vertex* dest)
{
assert(dest !=3D NULL);
remove_directed_edge(dest);
dest->remove_directed_edge(this);
}

template
void vertex::remove_directed_edge(vertex* dest)
{
edges.erase(find(edges.begin(), edges.end(), dest));
}

template
ostream& vertex::show(ostream& out)
{
out << data << ':';
for(unsigned i =3D 0; i < edges.size(); i++) {
out << ' ' << edges[i]->data;
}
return out << '\n';
}

// Now graph is a thin wrapper around a set of vertices.
template
struct graph {
~graph(); // destructor
vertex* add_vertex(const T& _data);
vector*> euler_path();
ostream& show(ostream&);
private:
vector*> vertices;
};

template
graph::~graph()
{
for(unsigned i =3D 0; i < vertices.size(); i++) {
delete vertices.at(i);
}
vertices.clear();
}

template
vertex* graph::add_vertex(const T& _data)
{
vertex* v =3D new vertex(_data);
vertices.push_back(v);
return v;
}

// Print the graph's adjacency list
template
ostream& graph::show(ostream& out)
{
for(unsigned i =3D 0; i < vertices.size(); i++) {
vertices[i]->show(out);
}
return out;
}

template
ostream& operator << (ostream& out, graph& g)
{
return g.show(out);
}

// Calculate and return an euler path. Algorithm basically taken from
// here: http://www.graph-magics.com/articles/euler.php
//
// NOTE: this is destructive -- it removes edges from the graph. So if
// you need the graph afterwards, make a copy.
template
vector*> graph::euler_path()
{
// If all vertices have even degree, choose any of them.
unsigned i =3D 0;
vertex* curr =3D vertices.at(i);
// If there are exactly 2 vertices having an odd degree: choose one
// of them. This will be the current vertex.
unsigned num_odd =3D 0;
for( ; i < vertices.size(); i++) {
if(vertices.at(i)->degree() % 2 =3D=3D 1) {
num_odd++;
curr =3D vertices.at(i);
}
}
log(LOG_INFO, "There were " << num_odd << " odd-degree vertices.");
vector*> path;
stack*> stack;
if(num_odd !=3D 2 && num_odd !=3D 0) {
log(LOG_ERROR, "Sorry, no Euler path exists.");
return path;
}
log(LOG_DEBUG, "Starting at " << curr->data << '\n' << *this);
// Repeat until the current vertex has no more neighbors and the
// stack is empty.
while(curr->degree() > 0 || stack.size() > 0) {
// If current vertex has no neighbors,
if(curr->degree() =3D=3D 0) {
log(LOG_DEBUG, "* Adding " << curr->data << " to path.");
// Add it to path
path.push_back(curr);
// Remove the last vertex from the stack and set it as the
// current one.
curr =3D stack.top();
stack.pop();
log(LOG_DEBUG, " New curr is " << curr->data);
}
else {
// Add the vertex to the stack
log(LOG_DEBUG, "* Pushing " << curr->data << " to stack.");
stack.push(curr);
// Take any of its neighbors, remove the edge between selected
// neighbor and that vertex, and set that neighbor as the
// current vertex
vertex* n =3D curr->edges.at(0);
log(LOG_DEBUG, " Removing " << curr->data << " <-> " << n->data);
curr->remove_edge(n);
curr =3D n;
log(LOG_TRACE, *this);
}
}
path.push_back(curr);
return path;
}

template
ostream& operator << (ostream& out, const vector*>& vec)
{
for(unsigned i =3D 0; i < vec.size(); i++) {
if(i > 0) {
out << ", ";
}
out << vec.at(i)->data;
}
return out;
}

graph* rubensburg_demo()
{
// Set up graph
graph* gr =3D new graph;
vertex* a =3D gr->add_vertex('A');
vertex* b =3D gr->add_vertex('B');
vertex* c =3D gr->add_vertex('C');
vertex* d =3D gr->add_vertex('D');
vertex* e =3D gr->add_vertex('E');
vertex* f =3D gr->add_vertex('F');
vertex* g =3D gr->add_vertex('G');
a->add_edge(b);
a->add_edge(b);
a->add_edge(e);
a->add_edge(f);
a->add_edge(g);
b->add_edge(e);
b->add_edge(f);
c->add_edge(d);
e->add_edge(c);
e->add_edge(g);

assert_eq(5, a->degree());
assert_eq(2, g->degree());
assert_eq(1, d->degree());

return gr;
}

graph* even_degree_demo()
{
graph* gr =3D new graph;
vertex* a =3D gr->add_vertex(13);
vertex* b =3D gr->add_vertex(16);
vertex* c =3D gr->add_vertex(18);
a->add_edge(b);
a->add_edge(c);
b->add_edge(c);
assert_eq(2, a->degree());
assert_eq(2, b->degree());
assert_eq(2, c->degree());
return gr;
}

// This is the actual K=C3=B6nigsberg graph, for which no Euler path
// exists.
graph* impossible_demo()
{
graph* gr =3D new graph;
vertex* a =3D gr->add_vertex("austin");
vertex* b =3D gr->add_vertex("baltimore");
vertex* c =3D gr->add_vertex("chicago");
vertex* d =3D gr->add_vertex("dallas");
a->add_edge(b);
a->add_edge(b);
a->add_edge(d);
b->add_edge(c);
b->add_edge(c);
b->add_edge(d);
c->add_edge(d);
return gr;
}

int main()
{
cout << "=3D=3D=3D=3D=3D=3D=3D Even-degree test\n";
graph* g0 =3D even_degree_demo();
cout << g0->euler_path() << '\n';
delete g0;

cout << "=3D=3D=3D=3D=3D=3D=3D Odd-degree test\n";
graph* g1 =3D rubensburg_demo();
cout << g1->euler_path() << '\n';
delete g1;

cout << "=3D=3D=3D=3D=3D=3D=3D Impossible test\n";
graph* g2 =3D impossible_demo();
cout << g2->euler_path() << '\n';
delete g2;

return 0;
}
~~~~

--=-=-=
Content-Type: text/html; charset=utf-8
Content-Transfer-Encoding: quoted-printable






1.0, user-scalable=3Dyes">




I can=E2=80=99t believe you influenced me to try this, but I converted m=
y previous Euler solution to avoid maps, sets, typedefs, and iterators. Ins=
tead it uses a vertex class and bunches of pointers. There is one usage of =
std::find from <algorithm> =E2=80=93 in ord=
er to remove a particular element from a vector (and that uses an iterator =
behind the scenes, but I didn=E2=80=99t have to declare something::it=
erator
anywhere).


CL


ceCode cpp">// euler3.cpp
#include <iostream>n>
#include <algorithm>an>
#include <vector>
#include <stack>
#include "assertions.hh&q=
uot;

#define LOG_LEVEL LOG_TRACE
#include "debug-log.hh&qu=
ot;

using namespace std;

template<typename T&=
gt;
struct vertex {
vertex(const T& _data) : data(_data) { }
void add_edge(vertex<T>* dest);
void remove_edge(vertex<T>* dest);
int degree() { return=
edges.size(); }
ostream& show(ostream&);
void add_directed_edge(vertex<T>* dest) {=
edges.push_back(dest); }
void remove_directed_edge(vertex<T>* dest=
);
T data;
vector<vertex<T>*> edges;
};

// This adds undirected edge (both directions).
template<typename T&=
gt;
void vertex<T>::add_edge(vertex<T>* d=
est)
{
assert(dest !=3D NULL);
add_directed_edge(dest);
dest->add_directed_edge(this);
}

template<typename T&=
gt;
void vertex<T>::remove_edge(vertex<T>=
* dest)
{
assert(dest !=3D NULL);
remove_directed_edge(dest);
dest->remove_directed_edge(this);
}

template<typename T&=
gt;
void vertex<T>::remove_directed_edge(vertex=
<T>* dest)
{
edges.erase(find(edges.begin(), edges.end(), dest));
}

template<typename T&=
gt;
ostream& vertex<T>::show(ostream& out)
{
out << data << ':';
for(unsigned i =3D pan class=3D"dv">0
; i < edges.size(); i++) {
out << ' ' << edges[i]-&g=
t;data;
}
return out << 'pan>\n';
}

// Now graph is a thin wrapper around a set of vertices.=

template<typename T&=
gt;
struct graph {
~graph(); // destructor
vertex<T>* add_vertex(const T& _data);
vector<vertex<T>*> euler_path();
ostream& show(ostream&);
private:
vector<vertex<T>*> vertices;
};

template<typename T&=
gt;
graph<T>::~graph()
{
for(unsigned i =3D pan class=3D"dv">0
; i < vertices.size(); i++) {
delete vertices.at(i);
}
vertices.clear();
}

template<typename T&=
gt;
vertex<T>* graph<T>::add_vertex(const=
T& _data)
{
vertex<T>* v =3D new vertex<T>(_dat=
a);
vertices.push_back(v);
return v;
}

// Print the graph's adjacency list
template<typename ve=
rtex>
ostream& graph<vertex>::show(ostream& out)
{
for(unsigned i =3D pan class=3D"dv">0
; i < vertices.size(); i++) {
vertices[i]->show(out);
}
return out;
}

template<typename ve=
rtex>
ostream& operator << (ostream& out,=
graph<vertex>& g)
{
return g.show(out);
}

// Calculate and return an euler path. Algorithm basical=
ly taken from

// here: http://www.graph-magics.com/articles/euler.php<=
/span>
//
// NOTE: this is destructive -- it removes edges from th=
e graph. So if

// you need the graph afterwards, make a copy.
template<typename T&=
gt;
vector<vertex<T>*> graph<T>::euler_path()
{
// If all vertices have even degree, choose any of the=
m.

unsigned i =3D 0;
vertex<T>* curr =3D vertices.at(i);
// If there are exactly 2 vertices having an odd degre=
e: choose one

// of them. This will be the current vertex.
unsigned num_odd =3D 0>;
for( ; i < vertices.size(); i++) {
if(vertices.at(i)->degree() % =3D"dv">2 =3D=3D 1) {
num_odd++;
curr =3D vertices.at(i);
}
}
log(LOG_INFO, "There were " << =
num_odd << " odd-degree vertices.">);
vector<vertex<T>*> path;
stack<vertex<T>*> stack;
if(num_odd !=3D 2 &am=
p;& num_odd !=3D 0) {
log(LOG_ERROR, "Sorry, no Euler path exists.&qu=
ot;
);
return path;
}
log(LOG_DEBUG, "Starting at " <<=
; curr->data << '=
\n
' << *this<=
/span>);
// Repeat until the current vertex has no more neighbo=
rs and the

// stack is empty.
while(curr->degree() > >0 || stack.size() > 0) {
// If current vertex has no neighbors,
if(curr->degree() =3D=3D ">0) {
log(LOG_DEBUG, "* Adding " <&l=
t; curr->data << " to path.");
// Add it to path
path.push_back(curr);
// Remove the last vertex from the stack and set i=
t as the

// current one.
curr =3D stack.top();
stack.pop();
log(LOG_DEBUG, " New curr is " &=
lt;< curr->data);
}
else {
// Add the vertex to the stack
log(LOG_DEBUG, "* Pushing " <&=
lt; curr->data << " to stack."=
);
stack.push(curr);
// Take any of its neighbors, remove the edge betw=
een selected

// neighbor and that vertex, and set that neighbor=
as the

// current vertex
vertex<T>* n =3D curr->edges.at(0);
log(LOG_DEBUG, " Removing " <=
< curr->data << " <-> "n> << n->data);
curr->remove_edge(n);
curr =3D n;
log(LOG_TRACE, *this);
}
}
path.push_back(curr);
return path;
}

template<typename T&=
gt;
ostream& operator << (ostream& out,=
const vector<vertex<T>*>& vec)
{
for(unsigned i =3D pan class=3D"dv">0
; i < vec.size(); i++) {
if(i > 0) {
out << ", ";
}
out << vec.at(i)->data;
}
return out;
}

graph<char>* rubensburg_demo()
{
// Set up graph
graph<char>* gr =3D ne=
w
graph<char>;
vertex<char>* a =3D gr->add_vertex(an class=3D"st">'A'
);
vertex<char>* b =3D gr->add_vertex(an class=3D"st">'B'
);
vertex<char>* c =3D gr->add_vertex(an class=3D"st">'C'
);
vertex<char>* d =3D gr->add_vertex(an class=3D"st">'D'
);
vertex<char>* e =3D gr->add_vertex(an class=3D"st">'E');
vertex<char>* f =3D gr->add_vertex(an class=3D"st">'F');
vertex<char>* g =3D gr->add_vertex(an class=3D"st">'G');
a->add_edge(b);
a->add_edge(b);
a->add_edge(e);
a->add_edge(f);
a->add_edge(g);
b->add_edge(e);
b->add_edge(f);
c->add_edge(d);
e->add_edge(c);
e->add_edge(g);

assert_eq(5, a->degree());
assert_eq(2, g->degree());
assert_eq(1, d->degree());

return gr;
}

graph<int>* even_degree_demo()
{
graph<int>* gr =3D new=
graph<int>;
vertex<int>* a =3D gr->add_vertex(n class=3D"dv">13);
vertex<int>* b =3D gr->add_vertex(n class=3D"dv">16);
vertex<int>* c =3D gr->add_vertex(n class=3D"dv">18);
a->add_edge(b);
a->add_edge(c);
b->add_edge(c);
assert_eq(2, a->degree());
assert_eq(2, b->degree());
assert_eq(2, c->degree());
return gr;
}

// This is the actual K=C3=B6nigsberg graph, for which n=
o Euler path

// exists.
graph<string>* impossible_demo()
{
graph<string>* gr =3D new graph<string=
>;
vertex<string>* a =3D gr->add_vertex("au=
stin"
);
vertex<string>* b =3D gr->add_vertex("ba=
ltimore"
);
vertex<string>* c =3D gr->add_vertex("ch=
icago"
);
vertex<string>* d =3D gr->add_vertex("da=
llas"
);
a->add_edge(b);
a->add_edge(b);
a->add_edge(d);
b->add_edge(c);
b->add_edge(c);
b->add_edge(d);
c->add_edge(d);
return gr;
}

int main()
{
cout << "=3D=3D=3D=3D=3D=3D=3D Even-degree =
test
\n";
graph<int>* g0 =3D even_degree_demo();
cout << g0->euler_path() << '>\n';
delete g0;

cout << "=3D=3D=3D=3D=3D=3D=3D Odd-degree t=
est
\n";
graph<char>* g1 =3D rubensburg_demo();
cout << g1->euler_path() << '>\n';
delete g1;

cout << "=3D=3D=3D=3D=3D=3D=3D Impossible t=
est
\n";
graph<string>* g2 =3D impossible_demo();
cout << g2->euler_path() << '>\n';
delete g2;

return 0;
}




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  18. 2017-02-10 Ruben Safir <ruben-at-mrbrklyn.com> Subject: [Learn] Fwd: [dinosaur] Euchambersia (Therapsida) envenoming
  19. 2017-02-11 Ruben Safir <ruben-at-mrbrklyn.com> Subject: [Learn] lions and tigers and snow leopards
  20. 2017-02-11 Ruben Safir <ruben-at-mrbrklyn.com> Subject: [Learn] New Neuronet theory
  21. 2017-02-11 Ruben Safir <ruben-at-mrbrklyn.com> Subject: [Learn] Researchers use artificial neural network to simulate a
  22. 2017-02-11 Ruben Safir <ruben-at-mrbrklyn.com> Subject: [Learn] Robotics
  23. 2017-02-11 Ruben Safir <ruben-at-mrbrklyn.com> Subject: [Learn] WebRTC coding in html5
  24. 2017-02-12 Ruben Safir <ruben-at-mrbrklyn.com> Subject: [Learn] fellowship positition
  25. 2017-02-15 Ruben Safir <ruben-at-mrbrklyn.com> Subject: [Learn] Starting with R
  26. 2017-02-15 Rick Moen <rick-at-linuxmafia.com> Subject: [Learn] [conspire] [svlug] AnC side-channel attack: In which ASLR
  27. 2017-02-16 Ruben Safir <mrbrklyn-at-panix.com> Subject: [Learn] are you here
  28. 2017-02-16 ruben <ruben-at-mrbrklyn.com> Subject: [Learn] chew on this
  29. 2017-02-16 Ruben Safir <ruben-at-mrbrklyn.com> Subject: [Learn] ct scan
  30. 2017-02-16 Christopher League <league-at-contrapunctus.net> Subject: [Learn] Should I name "makefile" or "Makefile"?
  31. 2017-02-20 Ruben Safir <ruben-at-mrbrklyn.com> Subject: [Learn] overloading operator== and casting
  32. 2017-02-20 Ruben Safir <ruben-at-mrbrklyn.com> Subject: [Learn] Vector Documentation
  33. 2017-02-22 Ruben Safir <ruben-at-mrbrklyn.com> Subject: [Learn] Network Patterns
  34. 2017-02-24 Ruben Safir <ruben-at-mrbrklyn.com> Re: [Learn] decision making tree for a euler walk
  35. 2017-02-24 Christopher League <league-at-contrapunctus.net> Re: [Learn] decision making tree for a euler walk
  36. 2017-02-24 Christopher League <league-at-contrapunctus.net> Re: [Learn] decision making tree for a euler walk
  37. 2017-02-24 Ruben Safir <ruben-at-mrbrklyn.com> Subject: [Learn] decision making tree for a euler walk
  38. 2017-02-27 Ruben Safir <ruben-at-mrbrklyn.com> Subject: [Learn] Computational Phylogenies and fossil scanning
  39. 2017-02-28 Christopher League <league-at-contrapunctus.net> Re: [Learn] decision making tree for a euler walk
  40. 2017-02-28 Ruben Safir <ruben-at-mrbrklyn.com> Re: [Learn] decision making tree for a euler walk
  41. 2017-02-28 Nicholas Rodin <nikbbwil-at-icloud.com> Re: [Learn] thesis update
  42. 2017-02-28 Ruben Safir <mrbrklyn-at-panix.com> Re: [Learn] thesis update
  43. 2017-02-28 Don Brinkman <Don.Brinkman-at-gov.ab.ca> Re: [Learn] visit
  44. 2017-02-28 Ruben Safir <ruben-at-mrbrklyn.com> Re: [Learn] [Hangout-NYLXS] Peer Review

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