1 // Voro++, a 3D cell-based Voronoi library
3 // Author : Chris H. Rycroft (LBL / UC Berkeley)
4 // Email : chr@alum.mit.edu
5 // Date : August 30th 2011
8 * \brief Function implementations for the voronoicell and related classes. */
19 /** Constructs a Voronoi cell and sets up the initial memory. */
20 voronoicell_base::voronoicell_base(double max_len_sq
) :
21 current_vertices(init_vertices
), current_vertex_order(init_vertex_order
),
22 current_delete_size(init_delete_size
), current_delete2_size(init_delete2_size
),
23 current_xsearch_size(init_xsearch_size
),
24 ed(new int*[current_vertices
]), nu(new int[current_vertices
]),
25 mask(new unsigned int[current_vertices
]),
26 pts(new double[current_vertices
<<2]), tol(tolerance
*max_len_sq
),
27 tol_cu(tol
*sqrt(tol
)), big_tol(big_tolerance_fac
*tol
), mem(new int[current_vertex_order
]),
28 mec(new int[current_vertex_order
]),
29 mep(new int*[current_vertex_order
]), ds(new int[current_delete_size
]),
30 stacke(ds
+current_delete_size
), ds2(new int[current_delete2_size
]),
31 stacke2(ds2
+current_delete2_size
), xse(new int[current_xsearch_size
]),
32 stacke3(xse
+current_xsearch_size
), maskc(0) {
34 for(i
=0;i
<current_vertices
;i
++) mask
[i
]=0;
36 mem
[i
]=init_n_vertices
;mec
[i
]=0;
37 mep
[i
]=new int[init_n_vertices
*((i
<<1)+1)];
39 mem
[3]=init_3_vertices
;mec
[3]=0;
40 mep
[3]=new int[init_3_vertices
*7];
41 for(i
=4;i
<current_vertex_order
;i
++) {
42 mem
[i
]=init_n_vertices
;mec
[i
]=0;
43 mep
[i
]=new int[init_n_vertices
*((i
<<1)+1)];
47 /** The voronoicell destructor deallocates all the dynamic memory. */
48 voronoicell_base::~voronoicell_base() {
49 for(int i
=current_vertex_order
-1;i
>=0;i
--) if(mem
[i
]>0) delete [] mep
[i
];
51 delete [] ds2
;delete [] ds
;
52 delete [] mep
;delete [] mec
;
53 delete [] mem
;delete [] pts
;
55 delete [] nu
;delete [] ed
;
58 /** Ensures that enough memory is allocated prior to carrying out a copy.
59 * \param[in] vc a reference to the specialized version of the calling class.
60 * \param[in] vb a pointered to the class to be copied. */
61 template<class vc_class
>
62 void voronoicell_base::check_memory_for_copy(vc_class
&vc
,voronoicell_base
* vb
) {
63 while(current_vertex_order
<vb
->current_vertex_order
) add_memory_vorder(vc
);
64 for(int i
=0;i
<current_vertex_order
;i
++) while(mem
[i
]<vb
->mec
[i
]) add_memory(vc
,i
);
65 while(current_vertices
<vb
->p
) add_memory_vertices(vc
);
68 /** Copies the vertex and edge information from another class. The routine
69 * assumes that enough memory is available for the copy.
70 * \param[in] vb a pointer to the class to copy. */
71 void voronoicell_base::copy(voronoicell_base
* vb
) {
74 for(i
=0;i
<current_vertex_order
;i
++) {
76 for(j
=0;j
<mec
[i
]*(2*i
+1);j
++) mep
[i
][j
]=vb
->mep
[i
][j
];
77 for(j
=0;j
<mec
[i
]*(2*i
+1);j
+=2*i
+1) ed
[mep
[i
][j
+2*i
]]=mep
[i
]+j
;
79 for(i
=0;i
<p
;i
++) nu
[i
]=vb
->nu
[i
];
80 for(i
=0;i
<(p
<<2);i
++) pts
[i
]=vb
->pts
[i
];
83 /** Copies the information from another voronoicell class into this
84 * class, extending memory allocation if necessary.
85 * \param[in] c the class to copy. */
86 void voronoicell_neighbor::operator=(voronoicell
&c
) {
87 voronoicell_base
*vb
=((voronoicell_base
*) &c
);
88 check_memory_for_copy(*this,vb
);copy(vb
);
90 for(i
=0;i
<c
.current_vertex_order
;i
++) {
91 for(j
=0;j
<c
.mec
[i
]*i
;j
++) mne
[i
][j
]=0;
92 for(j
=0;j
<c
.mec
[i
];j
++) ne
[c
.mep
[i
][(2*i
+1)*j
+2*i
]]=mne
[i
]+(j
*i
);
96 /** Copies the information from another voronoicell_neighbor class into this
97 * class, extending memory allocation if necessary.
98 * \param[in] c the class to copy. */
99 void voronoicell_neighbor::operator=(voronoicell_neighbor
&c
) {
100 voronoicell_base
*vb
=((voronoicell_base
*) &c
);
101 check_memory_for_copy(*this,vb
);copy(vb
);
103 for(i
=0;i
<c
.current_vertex_order
;i
++) {
104 for(j
=0;j
<c
.mec
[i
]*i
;j
++) mne
[i
][j
]=c
.mne
[i
][j
];
105 for(j
=0;j
<c
.mec
[i
];j
++) ne
[c
.mep
[i
][(2*i
+1)*j
+2*i
]]=mne
[i
]+(j
*i
);
109 /** Translates the vertices of the Voronoi cell by a given vector.
110 * \param[in] (x,y,z) the coordinates of the vector. */
111 void voronoicell_base::translate(double x
,double y
,double z
) {
114 while(ptsp
<pts
+(p
<<2)) {
115 *(ptsp
++)=x
;*(ptsp
++)=y
;*(ptsp
++)=z
;ptsp
++;
119 /** Increases the memory storage for a particular vertex order, by increasing
120 * the size of the of the corresponding mep array. If the arrays already exist,
121 * their size is doubled; if they don't exist, then new ones of size
122 * init_n_vertices are allocated. The routine also ensures that the pointers in
123 * the ed array are updated, by making use of the back pointers. For the cases
124 * where the back pointer has been temporarily overwritten in the marginal
125 * vertex code, the auxiliary delete stack is scanned to find out how to update
126 * the ed value. If the template has been instantiated with the neighbor
127 * tracking turned on, then the routine also reallocates the corresponding mne
129 * \param[in] i the order of the vertex memory to be increased. */
130 template<class vc_class
>
131 void voronoicell_base::add_memory(vc_class
&vc
,int i
) {
134 vc
.n_allocate(i
,init_n_vertices
);
135 mep
[i
]=new int[init_n_vertices
*s
];
136 mem
[i
]=init_n_vertices
;
137 #if VOROPP_VERBOSE >=2
138 fprintf(stderr
,"Order %d vertex memory created\n",i
);
143 if(mem
[i
]>max_n_vertices
) voro_fatal_error("Point memory allocation exceeded absolute maximum",VOROPP_MEMORY_ERROR
);
144 #if VOROPP_VERBOSE >=2
145 fprintf(stderr
,"Order %d vertex memory scaled up to %d\n",i
,mem
[i
]);
149 vc
.n_allocate_aux1(i
);
154 vc
.n_set_to_aux1_offset(k
,m
);
157 for(dsp
=ds2
;dsp
<stackp2
;dsp
++) {
158 if(ed
[*dsp
]==mep
[i
]+j
) {
160 vc
.n_set_to_aux1_offset(*dsp
,m
);
165 for(dsp
=xse
;dsp
<stackp3
;dsp
++) {
166 if(ed
[*dsp
]==mep
[i
]+j
) {
168 vc
.n_set_to_aux1_offset(*dsp
,m
);
172 if(dsp
==stackp3
) voro_fatal_error("Couldn't relocate dangling pointer",VOROPP_INTERNAL_ERROR
);
174 #if VOROPP_VERBOSE >=3
175 fputs("Relocated dangling pointer",stderr
);
178 for(k
=0;k
<s
;k
++,j
++) l
[j
]=mep
[i
][j
];
179 for(k
=0;k
<i
;k
++,m
++) vc
.n_copy_to_aux1(i
,m
);
183 vc
.n_switch_to_aux1(i
);
187 /** Doubles the maximum number of vertices allowed, by reallocating the ed, nu,
188 * and pts arrays. If the allocation exceeds the absolute maximum set in
189 * max_vertices, then the routine exits with a fatal error. If the template has
190 * been instantiated with the neighbor tracking turned on, then the routine
191 * also reallocates the ne array. */
192 template<class vc_class
>
193 void voronoicell_base::add_memory_vertices(vc_class
&vc
) {
194 int i
=(current_vertices
<<1),j
,**pp
,*pnu
;
196 if(i
>max_vertices
) voro_fatal_error("Vertex memory allocation exceeded absolute maximum",VOROPP_MEMORY_ERROR
);
197 #if VOROPP_VERBOSE >=2
198 fprintf(stderr
,"Vertex memory scaled up to %d\n",i
);
202 for(j
=0;j
<current_vertices
;j
++) pp
[j
]=ed
[j
];
204 vc
.n_add_memory_vertices(i
);
206 for(j
=0;j
<current_vertices
;j
++) pnu
[j
]=nu
[j
];
208 pmask
=new unsigned int[i
];
209 for(j
=0;j
<current_vertices
;j
++) pmask
[j
]=mask
[j
];
210 while(j
<i
) pmask
[j
++]=0;
211 delete [] mask
;mask
=pmask
;
212 ppts
=new double[i
<<2];
213 for(j
=0;j
<(current_vertices
<<2);j
++) ppts
[j
]=pts
[j
];
214 delete [] pts
;pts
=ppts
;
218 /** Doubles the maximum allowed vertex order, by reallocating mem, mep, and mec
219 * arrays. If the allocation exceeds the absolute maximum set in
220 * max_vertex_order, then the routine causes a fatal error. If the template has
221 * been instantiated with the neighbor tracking turned on, then the routine
222 * also reallocates the mne array. */
223 template<class vc_class
>
224 void voronoicell_base::add_memory_vorder(vc_class
&vc
) {
225 int i
=(current_vertex_order
<<1),j
,*p1
,**p2
;
226 if(i
>max_vertex_order
) voro_fatal_error("Vertex order memory allocation exceeded absolute maximum",VOROPP_MEMORY_ERROR
);
227 #if VOROPP_VERBOSE >=2
228 fprintf(stderr
,"Vertex order memory scaled up to %d\n",i
);
231 for(j
=0;j
<current_vertex_order
;j
++) p1
[j
]=mem
[j
];while(j
<i
) p1
[j
++]=0;
232 delete [] mem
;mem
=p1
;
234 for(j
=0;j
<current_vertex_order
;j
++) p2
[j
]=mep
[j
];
235 delete [] mep
;mep
=p2
;
237 for(j
=0;j
<current_vertex_order
;j
++) p1
[j
]=mec
[j
];while(j
<i
) p1
[j
++]=0;
238 delete [] mec
;mec
=p1
;
239 vc
.n_add_memory_vorder(i
);
240 current_vertex_order
=i
;
243 /** Doubles the size allocation of the main delete stack. If the allocation
244 * exceeds the absolute maximum set in max_delete_size, then routine causes a
246 void voronoicell_base::add_memory_ds() {
247 current_delete_size
<<=1;
248 if(current_delete_size
>max_delete_size
) voro_fatal_error("Delete stack 1 memory allocation exceeded absolute maximum",VOROPP_MEMORY_ERROR
);
249 #if VOROPP_VERBOSE >=2
250 fprintf(stderr
,"Delete stack 1 memory scaled up to %d\n",current_delete_size
);
252 int *dsn
=new int[current_delete_size
],*dsnp
=dsn
,*dsp
=ds
;
253 while(dsp
<stackp
) *(dsnp
++)=*(dsp
++);
254 delete [] ds
;ds
=dsn
;stackp
=dsnp
;
255 stacke
=ds
+current_delete_size
;
258 /** Doubles the size allocation of the auxiliary delete stack. If the
259 * allocation exceeds the absolute maximum set in max_delete2_size, then the
260 * routine causes a fatal error. */
261 void voronoicell_base::add_memory_ds2() {
262 current_delete2_size
<<=1;
263 if(current_delete2_size
>max_delete2_size
) voro_fatal_error("Delete stack 2 memory allocation exceeded absolute maximum",VOROPP_MEMORY_ERROR
);
264 #if VOROPP_VERBOSE >=2
265 fprintf(stderr
,"Delete stack 2 memory scaled up to %d\n",current_delete2_size
);
267 int *dsn
=new int[current_delete2_size
],*dsnp
=dsn
,*dsp
=ds2
;
268 while(dsp
<stackp2
) *(dsnp
++)=*(dsp
++);
269 delete [] ds2
;ds2
=dsn
;stackp2
=dsnp
;
270 stacke2
=ds2
+current_delete2_size
;
273 /** Doubles the size allocation of the auxiliary delete stack. If the
274 * allocation exceeds the absolute maximum set in max_delete2_size, then the
275 * routine causes a fatal error. */
276 void voronoicell_base::add_memory_xse() {
277 current_xsearch_size
<<=1;
278 if(current_xsearch_size
>max_xsearch_size
) voro_fatal_error("Extra search stack memory allocation exceeded absolute maximum",VOROPP_MEMORY_ERROR
);
279 #if VOROPP_VERBOSE >=2
280 fprintf(stderr
,"Extra search stack memory scaled up to %d\n",current_xsearch_size
);
282 int *dsn
=new int[current_xsearch_size
],*dsnp
=dsn
,*dsp
=xse
;
283 while(dsp
<stackp3
) *(dsnp
++)=*(dsp
++);
284 delete [] xse
;xse
=dsn
;stackp3
=dsnp
;
285 stacke3
=xse
+current_xsearch_size
;
289 /** Initializes a Voronoi cell as a rectangular box with the given dimensions.
290 * \param[in] (xmin,xmax) the minimum and maximum x coordinates.
291 * \param[in] (ymin,ymax) the minimum and maximum y coordinates.
292 * \param[in] (zmin,zmax) the minimum and maximum z coordinates. */
293 void voronoicell_base::init_base(double xmin
,double xmax
,double ymin
,double ymax
,double zmin
,double zmax
) {
294 for(int i
=0;i
<current_vertex_order
;i
++) mec
[i
]=0;up
=0;
295 mec
[3]=p
=8;xmin
*=2;xmax
*=2;ymin
*=2;ymax
*=2;zmin
*=2;zmax
*=2;
296 *pts
=xmin
;pts
[1]=ymin
;pts
[2]=zmin
;
297 pts
[4]=xmax
;pts
[5]=ymin
;pts
[6]=zmin
;
298 pts
[8]=xmin
;pts
[9]=ymax
;pts
[10]=zmin
;
299 pts
[12]=xmax
;pts
[13]=ymax
;pts
[14]=zmin
;
300 pts
[16]=xmin
;pts
[17]=ymin
;pts
[18]=zmax
;
301 pts
[20]=xmax
;pts
[21]=ymin
;pts
[22]=zmax
;
302 pts
[24]=xmin
;pts
[25]=ymax
;pts
[26]=zmax
;
303 pts
[28]=xmax
;pts
[29]=ymax
;pts
[30]=zmax
;
305 *q
=1;q
[1]=4;q
[2]=2;q
[3]=2;q
[4]=1;q
[5]=0;q
[6]=0;
306 q
[7]=3;q
[8]=5;q
[9]=0;q
[10]=2;q
[11]=1;q
[12]=0;q
[13]=1;
307 q
[14]=0;q
[15]=6;q
[16]=3;q
[17]=2;q
[18]=1;q
[19]=0;q
[20]=2;
308 q
[21]=2;q
[22]=7;q
[23]=1;q
[24]=2;q
[25]=1;q
[26]=0;q
[27]=3;
309 q
[28]=6;q
[29]=0;q
[30]=5;q
[31]=2;q
[32]=1;q
[33]=0;q
[34]=4;
310 q
[35]=4;q
[36]=1;q
[37]=7;q
[38]=2;q
[39]=1;q
[40]=0;q
[41]=5;
311 q
[42]=7;q
[43]=2;q
[44]=4;q
[45]=2;q
[46]=1;q
[47]=0;q
[48]=6;
312 q
[49]=5;q
[50]=3;q
[51]=6;q
[52]=2;q
[53]=1;q
[54]=0;q
[55]=7;
313 *ed
=q
;ed
[1]=q
+7;ed
[2]=q
+14;ed
[3]=q
+21;
314 ed
[4]=q
+28;ed
[5]=q
+35;ed
[6]=q
+42;ed
[7]=q
+49;
315 *nu
=nu
[1]=nu
[2]=nu
[3]=nu
[4]=nu
[5]=nu
[6]=nu
[7]=3;
318 /** Initializes an L-shaped Voronoi cell of a fixed size for testing the
319 * convexity robustness. */
320 void voronoicell::init_l_shape() {
321 for(int i
=0;i
<current_vertex_order
;i
++) mec
[i
]=0;up
=0;
323 *pts
=-1;pts
[1]=-1;pts
[2]=-1;
324 pts
[4]=1;pts
[5]=-1;pts
[6]=-1;
325 pts
[8]=-1;pts
[9]=0;pts
[10]=-1;
326 pts
[12]=0;pts
[13]=0;pts
[14]=-1;
327 pts
[16]=0;pts
[17]=1;pts
[18]=-1;
328 pts
[20]=1;pts
[21]=1;pts
[22]=-1;
329 pts
[24]=-1;pts
[25]=-1;pts
[26]=1;
330 pts
[28]=1;pts
[29]=-1;pts
[30]=1;
331 pts
[32]=-1;pts
[33]=0;pts
[34]=1;
332 pts
[36]=0;pts
[37]=0;pts
[38]=1;
333 pts
[40]=0;pts
[41]=1;pts
[42]=1;
334 pts
[44]=1;pts
[45]=1;pts
[46]=1;
336 *q
=1;q
[1]=6;q
[2]=2;q
[6]=0;
337 q
[7]=5;q
[8]=7;q
[9]=0;q
[13]=1;
338 q
[14]=0;q
[15]=8;q
[16]=3;q
[20]=2;
339 q
[21]=2;q
[22]=9;q
[23]=4;q
[27]=3;
340 q
[28]=3;q
[29]=10;q
[30]=5;q
[34]=4;
341 q
[35]=4;q
[36]=11;q
[37]=1;q
[41]=5;
342 q
[42]=8;q
[43]=0;q
[44]=7;q
[48]=6;
343 q
[49]=6;q
[50]=1;q
[51]=11;q
[55]=7;
344 q
[56]=9;q
[57]=2;q
[58]=6;q
[62]=8;
345 q
[63]=10;q
[64]=3;q
[65]=8;q
[69]=9;
346 q
[70]=11;q
[71]=4;q
[72]=9;q
[76]=10;
347 q
[77]=7;q
[78]=5;q
[79]=10;q
[83]=11;
348 *ed
=q
;ed
[1]=q
+7;ed
[2]=q
+14;ed
[3]=q
+21;ed
[4]=q
+28;ed
[5]=q
+35;
349 ed
[6]=q
+42;ed
[7]=q
+49;ed
[8]=q
+56;ed
[9]=q
+63;ed
[10]=q
+70;ed
[11]=q
+77;
350 for(int i
=0;i
<12;i
++) nu
[i
]=3;
351 construct_relations();
354 /** Initializes a Voronoi cell as a regular octahedron.
355 * \param[in] l The distance from the octahedron center to a vertex. Six
356 * vertices are initialized at (-l,0,0), (l,0,0), (0,-l,0),
357 * (0,l,0), (0,0,-l), and (0,0,l). */
358 void voronoicell_base::init_octahedron_base(double l
) {
359 for(int i
=0;i
<current_vertex_order
;i
++) mec
[i
]=0;up
=0;
361 *pts
=-l
;pts
[1]=0;pts
[2]=0;
362 pts
[4]=l
;pts
[5]=0;pts
[6]=0;
363 pts
[8]=0;pts
[9]=-l
;pts
[10]=0;
364 pts
[12]=0;pts
[13]=l
;pts
[14]=0;
365 pts
[16]=0;pts
[17]=0;pts
[18]=-l
;
366 pts
[20]=0;pts
[21]=0;pts
[22]=l
;
368 *q
=2;q
[1]=5;q
[2]=3;q
[3]=4;q
[4]=0;q
[5]=0;q
[6]=0;q
[7]=0;q
[8]=0;
369 q
[9]=2;q
[10]=4;q
[11]=3;q
[12]=5;q
[13]=2;q
[14]=2;q
[15]=2;q
[16]=2;q
[17]=1;
370 q
[18]=0;q
[19]=4;q
[20]=1;q
[21]=5;q
[22]=0;q
[23]=3;q
[24]=0;q
[25]=1;q
[26]=2;
371 q
[27]=0;q
[28]=5;q
[29]=1;q
[30]=4;q
[31]=2;q
[32]=3;q
[33]=2;q
[34]=1;q
[35]=3;
372 q
[36]=0;q
[37]=3;q
[38]=1;q
[39]=2;q
[40]=3;q
[41]=3;q
[42]=1;q
[43]=1;q
[44]=4;
373 q
[45]=0;q
[46]=2;q
[47]=1;q
[48]=3;q
[49]=1;q
[50]=3;q
[51]=3;q
[52]=1;q
[53]=5;
374 *ed
=q
;ed
[1]=q
+9;ed
[2]=q
+18;ed
[3]=q
+27;ed
[4]=q
+36;ed
[5]=q
+45;
375 *nu
=nu
[1]=nu
[2]=nu
[3]=nu
[4]=nu
[5]=4;
378 /** Initializes a Voronoi cell as a tetrahedron. It assumes that the normal to
379 * the face for the first three vertices points inside.
380 * \param (x0,y0,z0) a position vector for the first vertex.
381 * \param (x1,y1,z1) a position vector for the second vertex.
382 * \param (x2,y2,z2) a position vector for the third vertex.
383 * \param (x3,y3,z3) a position vector for the fourth vertex. */
384 void voronoicell_base::init_tetrahedron_base(double x0
,double y0
,double z0
,double x1
,double y1
,double z1
,double x2
,double y2
,double z2
,double x3
,double y3
,double z3
) {
385 for(int i
=0;i
<current_vertex_order
;i
++) mec
[i
]=0;up
=0;
387 *pts
=x0
*2;pts
[1]=y0
*2;pts
[2]=z0
*2;
388 pts
[4]=x1
*2;pts
[5]=y1
*2;pts
[6]=z1
*2;
389 pts
[8]=x2
*2;pts
[9]=y2
*2;pts
[10]=z2
*2;
390 pts
[12]=x3
*2;pts
[13]=y3
*2;pts
[14]=z3
*2;
392 *q
=1;q
[1]=3;q
[2]=2;q
[3]=0;q
[4]=0;q
[5]=0;q
[6]=0;
393 q
[7]=0;q
[8]=2;q
[9]=3;q
[10]=0;q
[11]=2;q
[12]=1;q
[13]=1;
394 q
[14]=0;q
[15]=3;q
[16]=1;q
[17]=2;q
[18]=2;q
[19]=1;q
[20]=2;
395 q
[21]=0;q
[22]=1;q
[23]=2;q
[24]=1;q
[25]=2;q
[26]=1;q
[27]=3;
396 *ed
=q
;ed
[1]=q
+7;ed
[2]=q
+14;ed
[3]=q
+21;
397 *nu
=nu
[1]=nu
[2]=nu
[3]=3;
400 /** Checks that the relational table of the Voronoi cell is accurate, and
401 * prints out any errors. This algorithm is O(p), so running it every time the
402 * plane routine is called will result in a significant slowdown. */
403 void voronoicell_base::check_relations() {
405 for(i
=0;i
<p
;i
++) for(j
=0;j
<nu
[i
];j
++) if(ed
[ed
[i
][j
]][ed
[i
][nu
[i
]+j
]]!=i
)
406 printf("Relational error at point %d, edge %d.\n",i
,j
);
409 /** This routine checks for any two vertices that are connected by more than
410 * one edge. The plane algorithm is designed so that this should not happen, so
411 * any occurrences are most likely errors. Note that the routine is O(p), so
412 * running it every time the plane routine is called will result in a
413 * significant slowdown. */
414 void voronoicell_base::check_duplicates() {
416 for(i
=0;i
<p
;i
++) for(j
=1;j
<nu
[i
];j
++) for(k
=0;k
<j
;k
++) if(ed
[i
][j
]==ed
[i
][k
])
417 printf("Duplicate edges: (%d,%d) and (%d,%d) [%d]\n",i
,j
,i
,k
,ed
[i
][j
]);
420 /** Constructs the relational table if the edges have been specified. */
421 void voronoicell_base::construct_relations() {
423 for(i
=0;i
<p
;i
++) for(j
=0;j
<nu
[i
];j
++) {
428 if(l
==nu
[k
]) voro_fatal_error("Relation table construction failed",VOROPP_INTERNAL_ERROR
);
434 /** Starting from a point within the current cutting plane, this routine attempts
435 * to find an edge to a point outside the cutting plane. This prevents the plane
437 * \param[in,out] up */
438 inline bool voronoicell_base::search_for_outside_edge(int &up
) {
439 int i
,lp
,lw
,*j
=ds2
,sc2
=stackp2
-ds2
;
444 for(i
=0;i
<nu
[up
];i
++) {
451 else if(lw
==1) add_to_stack(sc2
,lp
);
458 /** Adds a point to the auxiliary delete stack if it is not already there.
459 * \param[in] vc a reference to the specialized version of the calling class.
460 * \param[in] lp the index of the point to add.
461 * \param[in,out] stackp2 a pointer to the end of the stack entries. */
462 inline void voronoicell_base::add_to_stack(int sc2
,int lp
) {
463 for(int *k
=ds2
+sc2
;k
<stackp2
;k
++) if(*k
==lp
) return;
464 if(stackp2
==stacke2
) add_memory_ds2();
468 /** Assuming that the point up is outside the cutting plane, this routine
469 * searches upwards along edges trying to find an edge that intersects the
471 * \param[in] rsq the distance along this vector of the plane.
472 * \param[in,out] u the dot product of point up with the normal.
473 * \return True if the cutting plane was reached, false otherwise. */
474 inline bool voronoicell_base::search_upward(unsigned int &uw
,int &lp
,int &ls
,int &us
,double &l
,double &u
) {
478 // The test point is outside of the cutting space
479 for(ls
=0;ls
<nu
[lp
];ls
++) {
484 if(ls
==nu
[lp
]) if(definite_max(lp
,ls
,l
,u
,uw
)) {
490 //if(++count>=p) failsafe_find(lp,ls,us,l,u);
492 // Test all the neighbors of the current point
493 // and find the one which is closest to the
495 vs
=ed
[lp
][nu
[lp
]+ls
];lp
=up
;l
=u
;
496 for(ls
=0;ls
<nu
[lp
];ls
++) {
502 if(ls
==nu
[lp
]&&definite_max(lp
,ls
,l
,u
,uw
)) {
507 us
=ed
[lp
][nu
[lp
]+ls
];
511 /** Checks whether a particular point lp is a definite maximum, searching
512 * through any possible minor non-convexities, for a better maximum.
513 * \param[in] (x,y,z) the normal vector to the plane. */
514 bool voronoicell_base::definite_max(int &lp
,int &ls
,double &l
,double &u
,unsigned int &uw
) {
519 // Check to see whether point up is a well-defined maximum. Otherwise
520 // any neighboring vertices of up that are marginal need to be
521 // followed, to see if they lead to a better maximum.
522 for(ts
=0;ts
<nu
[tp
];ts
++) {
525 if(q
>l
-big_tol
) break;
527 if(ts
==nu
[tp
]) return true;
529 // The point tp is marginal, so it will be necessary to do the
530 // flood-fill search. Mark the point tp and the point qp, and search
531 // any remaining neighbors of the point tp.
541 if(stackp
==stacke
) add_memory_ds();
548 // Consider additional marginal points, starting with the original
553 for(ts
=0;ts
<nu
[tp
];ts
++) {
556 // Skip the point if it's already marked
557 if(ed
[qp
][nu
[qp
]<<1]<0) continue;
560 // This point is a better maximum. Reset markers and
570 while(stackp
>ds
) flip(*(--stackp
));
574 // The point is marginal and therefore must also be
588 // Reset markers and return false
590 while(stackp
>ds
) flip(*(--stackp
));
594 inline bool voronoicell_base::search_downward(unsigned int &lw
,int &lp
,int &ls
,int &us
,double &l
,double &u
) {
597 // The test point is outside of the cutting space
598 for(us
=0;us
<nu
[up
];us
++) {
603 if(us
==nu
[up
]) if(definite_min(lp
,us
,l
,u
,lw
)) return false;
606 //if(++count>=p) failsafe_find(lp,ls,us,l,u);
608 // Test all the neighbors of the current point
609 // and find the one which is closest to the
611 vs
=ed
[up
][nu
[up
]+us
];up
=lp
;u
=l
;
612 for(us
=0;us
<nu
[up
];us
++) {
618 if(us
==nu
[up
]&&definite_min(lp
,us
,l
,u
,lw
)) return false;
620 ls
=ed
[up
][nu
[up
]+us
];
624 bool voronoicell_base::definite_min(int &lp
,int &us
,double &l
,double &u
,unsigned int &lw
) {
629 // Check to see whether point up is a well-defined maximum. Otherwise
630 // any neighboring vertices of up that are marginal need to be
631 // followed, to see if they lead to a better maximum.
632 for(ts
=0;ts
<nu
[tp
];ts
++) {
635 if(q
<u
+big_tol
) break;
637 if(ts
==nu
[tp
]) return true;
639 // The point tp is marginal, so it will be necessary to do the
640 // flood-fill search. Mark the point tp and the point qp, and search
641 // any remaining neighbors of the point tp.
651 if(stackp
==stacke
) add_memory_ds();
658 // Consider additional marginal points, starting with the original
663 for(ts
=0;ts
<nu
[tp
];ts
++) {
666 // Skip the point if it's already marked
667 if(ed
[qp
][nu
[qp
]<<1]<0) continue;
670 // This point is a better minimum. Reset markers and
680 while(stackp
>ds
) flip(*(--stackp
));
684 // The point is marginal and therefore must also be
698 // Reset markers and return false
700 while(stackp
>ds
) flip(*(--stackp
));
704 /** Cuts the Voronoi cell by a particle whose center is at a separation of
705 * (x,y,z) from the cell center. The value of rsq should be initially set to
707 * \param[in] vc a reference to the specialized version of the calling class.
708 * \param[in] (x,y,z) the normal vector to the plane.
709 * \param[in] rsq the distance along this vector of the plane.
710 * \param[in] p_id the plane ID (for neighbor tracking only).
711 * \return False if the plane cut deleted the cell entirely, true otherwise. */
712 template<class vc_class
>
713 bool voronoicell_base::nplane(vc_class
&vc
,double x
,double y
,double z
,double rsq
,int p_id
) {
714 int i
,j
,lp
=up
,cp
,qp
,*dsp
;
717 int *edp
,*edd
;stackp
=ds
;
720 // Initialize the safe testing routine
721 px
=x
;py
=y
;pz
=z
;prsq
=rsq
;
723 if(maskc
<4) reset_mask();
727 if(!search_downward(lw
,lp
,ls
,us
,l
,u
)) return false;
728 if(lw
==1) {up
=lp
;lp
=-1;}
730 if(!search_upward(uw
,lp
,ls
,us
,l
,u
)) return true;
736 // Set stack pointers
737 stackp
=ds
;stackp2
=ds2
;stackp3
=xse
;
739 // Store initial number of vertices
742 if(create_facet(vc
,lp
,ls
,l
,us
,u
,p_id
)) return false;
744 while(xse
+k
<stackp3
) {
747 for(ls
=0;ls
<nu
[lp
];ls
++) {
750 // Skip if this is a new vertex
755 if(u
>-big_tol
&&ed
[up
][nu
[up
]<<1]!=-1) {
756 ed
[up
][nu
[up
]<<1]=-1;
757 if(stackp3
==stacke3
) add_memory_xse();
762 // This is a possible facet starting
763 // from a vertex on the cutting plane
764 if(create_facet(vc
,-1,0,0,0,u
,p_id
)) return false;
767 // This is a new facet
768 us
=ed
[lp
][nu
[lp
]+ls
];
770 if(create_facet(vc
,lp
,ls
,l
,us
,u
,p_id
)) return false;
776 // Reset back pointers on extra search stack
777 for(dsp
=xse
;dsp
<stackp3
;dsp
++) {
782 // Delete points: first, remove any duplicates
786 if(ed
[j
][nu
[j
]]!=-1) {
789 } else *dsp
=*(--stackp
);
792 // Add the points in the auxiliary delete stack,
793 // and reset their back pointers
794 for(dsp
=ds2
;dsp
<stackp2
;dsp
++) {
797 if(ed
[j
][nu
[j
]]!=-1) {
799 if(stackp
==stacke
) add_memory_ds();
804 // Scan connections and add in extras
805 for(dsp
=ds
;dsp
<stackp
;dsp
++) {
807 for(edp
=ed
[cp
];edp
<ed
[cp
]+nu
[cp
];edp
++) {
809 if(qp
!=-1&&ed
[qp
][nu
[qp
]]!=-1) {
822 // Delete them from the array structure
825 while(ed
[p
][nu
[p
]]==-1) {
827 edp
=ed
[p
];edd
=(mep
[j
]+((j
<<1)+1)*--mec
[j
]);
828 while(edp
<ed
[p
]+(j
<<1)+1) *(edp
++)=*(edd
++);
829 vc
.n_set_aux2_copy(p
,j
);
830 vc
.n_copy_pointer(ed
[p
][(j
<<1)],p
);
831 ed
[ed
[p
][(j
<<1)]]=ed
[p
];
838 pts
[(up
<<2)]=pts
[(p
<<2)];
839 pts
[(up
<<2)+1]=pts
[(p
<<2)+1];
840 pts
[(up
<<2)+2]=pts
[(p
<<2)+2];
844 edp
=ed
[up
];edd
=(mep
[j
]+((j
<<1)+1)*--mec
[j
]);
845 while(edp
<ed
[up
]+(j
<<1)+1) *(edp
++)=*(edd
++);
846 vc
.n_set_aux2_copy(up
,j
);
847 vc
.n_copy_pointer(ed
[up
][j
<<1],up
);
848 vc
.n_copy_pointer(up
,p
);
849 ed
[ed
[up
][j
<<1]]=ed
[up
];
854 for(i
=0;i
<nu
[up
];i
++) ed
[ed
[up
][i
]][ed
[up
][nu
[up
]+i
]]=up
;
855 ed
[up
][nu
[up
]<<1]=up
;
859 // Check for any vertices of zero order
860 if(*mec
>0) voro_fatal_error("Zero order vertex formed",VOROPP_INTERNAL_ERROR
);
862 // Collapse any order 2 vertices and exit
863 return collapse_order2(vc
);
866 /** Creates a new facet.
867 * \return True if cell deleted, false otherwise. */
868 template<class vc_class
>
869 bool voronoicell_base::create_facet(vc_class
&vc
,int lp
,int ls
,double l
,int us
,double u
,int p_id
) {
870 int i
,j
,k
,qp
,qs
,iqs
,cp
,cs
,rp
,*edp
,*edd
;
872 bool new_double_edge
=false,double_edge
=false;
875 // We're about to add the first point of the new facet. In either
876 // routine, we have to add a point, so first check there's space for
878 if(p
==current_vertices
) add_memory_vertices(vc
);
882 // We want to be strict about reaching the conclusion that the
883 // cell is entirely within the cutting plane. It's not enough
884 // to find a vertex that has edges which are all inside or on
885 // the plane. If the vertex has neighbors that are also on the
886 // plane, we should check those too.
887 if(!search_for_outside_edge(up
)) return true;
889 // The search algorithm found a point which is on the cutting
890 // plane. We leave that point in place, and create a new one at
891 // the same location.
892 pts
[(p
<<2)]=pts
[(up
<<2)];
893 pts
[(p
<<2)+1]=pts
[(up
<<2)+1];
894 pts
[(p
<<2)+2]=pts
[(up
<<2)+2];
896 // Search for a collection of edges of the test vertex which
897 // are outside of the cutting space. Begin by testing the
904 // The first edge is either inside the cutting space,
905 // or lies within the cutting plane. Test the edges
906 // sequentially until we find one that is outside.
911 // If we reached the last edge with no luck
912 // then all of the vertices are inside
913 // or on the plane, so the cell is completely
915 if(i
==nu
[up
]) return true;
921 // We found an edge outside the cutting space. Keep
922 // moving through these edges until we find one that's
923 // inside or on the plane.
931 // Compute the number of edges for the new vertex. In
932 // general it will be the number of outside edges
933 // found, plus two. But we need to recognize the
934 // special case when all but one edge is outside, and
935 // the remaining one is on the plane. For that case we
936 // have to reduce the edge count by one to prevent
938 if(j
==nu
[up
]&&i
==1&&rw
==1) {
944 // Add memory for the new vertex if needed, and
946 while (nu
[p
]>=current_vertex_order
) add_memory_vorder(vc
);
947 if(mec
[nu
[p
]]==mem
[nu
[p
]]) add_memory(vc
,nu
[p
]);
948 vc
.n_set_pointer(p
,nu
[p
]);
949 ed
[p
]=mep
[nu
[p
]]+((nu
[p
]<<1)+1)*mec
[nu
[p
]]++;
952 // Copy the edges of the original vertex into the new
953 // one. Delete the edges of the original vertex, and
954 // update the relational table.
970 // In this case, the zeroth edge is outside the cutting
971 // plane. Begin by searching backwards from the last
972 // edge until we find an edge which isn't outside.
979 // If i reaches zero, then we have a point in
980 // the plane all of whose edges are outside
981 // the cutting space, so we just exit
982 if(i
==0) return false;
987 // Now search forwards from zero
997 // Compute the number of edges for the new vertex. In
998 // general it will be the number of outside edges
999 // found, plus two. But we need to recognize the
1000 // special case when all but one edge is outside, and
1001 // the remaining one is on the plane. For that case we
1002 // have to reduce the edge count by one to prevent
1011 // Add memory to store the vertex if it doesn't exist
1014 while(nu
[p
]>=current_vertex_order
) add_memory_vorder(vc
);
1015 if(mec
[nu
[p
]]==mem
[nu
[p
]]) add_memory(vc
,nu
[p
]);
1017 // Copy the edges of the original vertex into the new
1018 // one. Delete the edges of the original vertex, and
1019 // update the relational table.
1020 vc
.n_set_pointer(p
,nu
[p
]);
1021 ed
[p
]=mep
[nu
[p
]]+((nu
[p
]<<1)+1)*mec
[nu
[p
]]++;
1026 qs
=ed
[up
][nu
[up
]+i
];
1027 vc
.n_copy(p
,k
,up
,i
);
1031 ed
[qp
][nu
[qp
]+qs
]=k
;
1038 qs
=ed
[up
][nu
[up
]+i
];
1039 vc
.n_copy(p
,k
,up
,i
);
1043 ed
[qp
][nu
[qp
]+qs
]=k
;
1050 vc
.n_copy(p
,k
,up
,qs
);
1052 } else vc
.n_copy(p
,0,up
,qs
);
1054 // Add this point to the auxiliary delete stack
1055 if(stackp2
==stacke2
) add_memory_ds2();
1058 // Look at the edges on either side of the group that was
1059 // detected. We're going to commence facet computation by
1060 // moving along one of them. We are going to end up coming back
1061 // along the other one.
1065 us
=ed
[up
][nu
[up
]+us
];
1067 ed
[qp
][nu
[qp
]<<1]=-p
;
1071 // The search algorithm found an intersected edge between the
1072 // points lp and up. Create a new vertex between them which
1073 // lies on the cutting plane. Since u and l differ by at least
1074 // the tolerance, this division should never screw up.
1075 if(stackp
==stacke
) add_memory_ds();
1078 pts
[p
<<2]=pts
[lp
<<2]*r
+pts
[up
<<2]*l
;
1079 pts
[(p
<<2)+1]=pts
[(lp
<<2)+1]*r
+pts
[(up
<<2)+1]*l
;
1080 pts
[(p
<<2)+2]=pts
[(lp
<<2)+2]*r
+pts
[(up
<<2)+2]*l
;
1082 // This point will always have three edges. Connect one of them
1085 if(mec
[3]==mem
[3]) add_memory(vc
,3);
1086 vc
.n_set_pointer(p
,3);
1088 vc
.n_copy(p
,1,up
,us
);
1089 vc
.n_copy(p
,2,lp
,ls
);
1090 ed
[p
]=mep
[3]+7*mec
[3]++;
1094 ed
[lp
][nu
[lp
]+ls
]=1;
1099 // Set the direction to move in
1104 // When the code reaches here, we have initialized the first point, and
1105 // we have a direction for moving it to construct the rest of the facet
1107 while(qp
!=up
||qs
!=us
) {
1109 // We're currently tracing round an intersected facet. Keep
1110 // moving around it until we find a point or edge which
1111 // intersects the plane.
1117 // The point is still in the cutting space. Just add it
1118 // to the delete stack and keep moving.
1119 qs
=cycle_up(ed
[qp
][nu
[qp
]+qs
],lp
);
1122 if(stackp
==stacke
) add_memory_ds();
1127 // The point is outside of the cutting space, so we've
1128 // found an intersected edge. Introduce a regular point
1129 // at the point of intersection. Connect it to the
1130 // point we just tested. Also connect it to the previous
1131 // new point in the facet we're constructing.
1132 if(p
==current_vertices
) add_memory_vertices(vc
);
1134 pts
[p
<<2]=pts
[lp
<<2]*r
+pts
[qp
<<2]*l
;
1135 pts
[(p
<<2)+1]=pts
[(lp
<<2)+1]*r
+pts
[(qp
<<2)+1]*l
;
1136 pts
[(p
<<2)+2]=pts
[(lp
<<2)+2]*r
+pts
[(qp
<<2)+2]*l
;
1138 if(mec
[3]==mem
[3]) add_memory(vc
,3);
1139 ls
=ed
[qp
][qs
+nu
[qp
]];
1140 vc
.n_set_pointer(p
,3);
1142 vc
.n_copy(p
,1,qp
,qs
);
1143 vc
.n_copy(p
,2,lp
,ls
);
1144 ed
[p
]=mep
[3]+7*mec
[3]++;
1151 ed
[lp
][nu
[lp
]+ls
]=1;
1153 ed
[cp
][nu
[cp
]+cs
]=0;
1160 // We've found a point which is on the cutting plane.
1161 // We're going to introduce a new point right here, but
1162 // first we need to figure out the number of edges it
1164 if(p
==current_vertices
) add_memory_vertices(vc
);
1166 // If the previous vertex detected a double edge, our
1167 // new vertex will have one less edge.
1169 qs
=ed
[qp
][nu
[qp
]+qs
];
1173 // Start testing the edges of the current point until
1174 // we find one which isn't outside the cutting space
1182 // Now we need to find out whether this marginal vertex
1183 // we are on has been visited before, because if that's
1184 // the case, we need to add vertices to the existing
1185 // new vertex, rather than creating a fresh one. We also
1186 // need to figure out whether we're in a case where we
1187 // might be creating a duplicate edge.
1188 j
=-ed
[qp
][nu
[qp
]<<1];
1189 if(qp
==up
&&qs
==us
) {
1191 // If we're heading into the final part of the
1192 // new facet, then we never worry about the
1193 // duplicate edge calculation.
1194 new_double_edge
=false;
1199 // This vertex was visited before, so
1200 // count those vertices to the ones we
1204 // The only time when we might make a
1205 // duplicate edge is if the point we're
1206 // going to move to next is also a
1207 // marginal point, so test for that
1211 // Now see whether this marginal point
1212 // has been visited before.
1213 i
=-ed
[lp
][nu
[lp
]<<1];
1216 // Now see if the last edge of that other
1217 // marginal point actually ends up here.
1218 if(ed
[i
][nu
[i
]-1]==j
) {
1219 new_double_edge
=true;
1221 } else new_double_edge
=false;
1224 // That marginal point hasn't been visited
1225 // before, so we probably don't have to worry
1226 // about duplicate edges, except in the
1227 // case when that's the way into the end
1228 // of the facet, because that way always creates
1230 if(j
==rp
&&lp
==up
&&ed
[qp
][nu
[qp
]+qs
]==us
) {
1231 new_double_edge
=true;
1233 } else new_double_edge
=false;
1235 } else new_double_edge
=false;
1238 // The vertex hasn't been visited
1239 // before, but let's see if it's
1243 // If it is, we need to check
1244 // for the case that it's a
1245 // small branch, and that we're
1246 // heading right back to where
1248 i
=-ed
[lp
][nu
[lp
]<<1];
1250 new_double_edge
=true;
1252 } else new_double_edge
=false;
1253 } else new_double_edge
=false;
1257 // k now holds the number of edges of the new vertex
1258 // we are forming. Add memory for it if it doesn't exist
1260 while(k
>=current_vertex_order
) add_memory_vorder(vc
);
1261 if(mec
[k
]==mem
[k
]) add_memory(vc
,k
);
1263 // Now create a new vertex with order k, or augment
1267 // If we're augmenting a vertex but we don't
1268 // actually need any more edges, just skip this
1269 // routine to avoid memory confusion
1272 // Allocate memory and copy the edges
1273 // of the previous instance into it
1275 edp
=mep
[k
]+((k
<<1)+1)*mec
[k
]++;
1278 vc
.n_copy_aux1(j
,i
);
1280 edp
[k
+i
]=ed
[j
][nu
[j
]+i
];
1285 // Remove the previous instance with
1286 // fewer vertices from the memory
1288 edd
=mep
[nu
[j
]]+((nu
[j
]<<1)+1)*--mec
[nu
[j
]];
1290 for(int lll
=0;lll
<=(nu
[j
]<<1);lll
++) ed
[j
][lll
]=edd
[lll
];
1291 vc
.n_set_aux2_copy(j
,nu
[j
]);
1292 vc
.n_copy_pointer(edd
[nu
[j
]<<1],j
);
1293 ed
[edd
[nu
[j
]<<1]]=ed
[j
];
1295 vc
.n_set_to_aux1(j
);
1300 // Allocate a new vertex of order k
1301 vc
.n_set_pointer(p
,k
);
1302 ed
[p
]=mep
[k
]+((k
<<1)+1)*mec
[k
]++;
1304 if(stackp2
==stacke2
) add_memory_ds2();
1306 pts
[p
<<2]=pts
[qp
<<2];
1307 pts
[(p
<<2)+1]=pts
[(qp
<<2)+1];
1308 pts
[(p
<<2)+2]=pts
[(qp
<<2)+2];
1309 ed
[qp
][nu
[qp
]<<1]=-p
;
1315 // Unless the previous case was a double edge, connect
1316 // the first available edge of the new vertex to the
1317 // last one in the facet
1323 ed
[cp
][nu
[cp
]+cs
]=i
;
1327 // Copy in the edges of the underlying vertex,
1328 // and do one less if this was a double edge
1330 while(i
<(new_double_edge
?k
:k
-1)) {
1332 lp
=ed
[qp
][qs
];ls
=ed
[qp
][nu
[qp
]+qs
];
1333 vc
.n_copy(j
,i
,qp
,qs
);
1337 ed
[lp
][nu
[lp
]+ls
]=i
;
1344 vc
.n_copy(j
,new_double_edge
?0:cs
,qp
,qs
);
1346 // Update the double_edge flag, to pass it
1347 // to the next instance of this routine
1348 double_edge
=new_double_edge
;
1352 // Connect the final created vertex to the initial one
1355 ed
[cp
][nu
[cp
]+cs
]=0;
1360 /** During the creation of a new facet in the plane routine, it is possible
1361 * that some order two vertices may arise. This routine removes them.
1362 * Suppose an order two vertex joins c and d. If there's a edge between
1363 * c and d already, then the order two vertex is just removed; otherwise,
1364 * the order two vertex is removed and c and d are joined together directly.
1365 * It is possible this process will create order two or order one vertices,
1366 * and the routine is continually run until all of them are removed.
1367 * \return False if the vertex removal was unsuccessful, indicative of the cell
1368 * reducing to zero volume and disappearing; true if the vertex removal
1369 * was successful. */
1370 template<class vc_class
>
1371 inline bool voronoicell_base::collapse_order2(vc_class
&vc
) {
1372 if(!collapse_order1(vc
)) return false;
1376 // Pick a order 2 vertex and read in its edges
1378 j
=mep
[2][5*i
];k
=mep
[2][5*i
+1];
1380 #if VOROPP_VERBOSE >=1
1381 fputs("Order two vertex joins itself",stderr
);
1386 // Scan the edges of j to see if joins k
1387 for(l
=0;l
<nu
[j
];l
++) {
1388 if(ed
[j
][l
]==k
) break;
1391 // If j doesn't already join k, join them together.
1392 // Otherwise delete the connection to the current
1393 // vertex from j and k.
1394 a
=mep
[2][5*i
+2];b
=mep
[2][5*i
+3];i
=mep
[2][5*i
+4];
1401 if(!delete_connection(vc
,j
,a
,false)) return false;
1402 if(!delete_connection(vc
,k
,b
,true)) return false;
1405 // Compact the memory
1410 pts
[i
<<2]=pts
[p
<<2];
1411 pts
[(i
<<2)+1]=pts
[(p
<<2)+1];
1412 pts
[(i
<<2)+2]=pts
[(p
<<2)+2];
1413 for(k
=0;k
<nu
[p
];k
++) ed
[ed
[p
][k
]][ed
[p
][nu
[p
]+k
]]=i
;
1414 vc
.n_copy_pointer(i
,p
);
1420 // Collapse any order 1 vertices if they were created
1421 if(!collapse_order1(vc
)) return false;
1426 /** Order one vertices can potentially be created during the order two collapse
1427 * routine. This routine keeps removing them until there are none left.
1428 * \return False if the vertex removal was unsuccessful, indicative of the cell
1429 * having zero volume and disappearing; true if the vertex removal was
1431 template<class vc_class
>
1432 bool voronoicell_base::collapse_order1(vc_class
&vc
) {
1436 #if VOROPP_VERBOSE >=1
1437 fputs("Order one collapse\n",stderr
);
1440 j
=mep
[1][3*i
];k
=mep
[1][3*i
+1];
1442 if(!delete_connection(vc
,j
,k
,false)) return false;
1447 pts
[i
<<2]=pts
[p
<<2];
1448 pts
[(i
<<2)+1]=pts
[(p
<<2)+1];
1449 pts
[(i
<<2)+2]=pts
[(p
<<2)+2];
1450 for(k
=0;k
<nu
[p
];k
++) ed
[ed
[p
][k
]][ed
[p
][nu
[p
]+k
]]=i
;
1451 vc
.n_copy_pointer(i
,p
);
1460 /** This routine deletes the kth edge of vertex j and reorganizes the memory.
1461 * If the neighbor computation is enabled, we also have to supply an handedness
1462 * flag to decide whether to preserve the plane on the left or right of the
1464 * \return False if a zero order vertex was formed, indicative of the cell
1465 * disappearing; true if the vertex removal was successful. */
1466 template<class vc_class
>
1467 bool voronoicell_base::delete_connection(vc_class
&vc
,int j
,int k
,bool hand
) {
1468 int q
=hand
?k
:cycle_up(k
,j
);
1469 int i
=nu
[j
]-1,l
,*edp
,*edd
,m
;
1470 #if VOROPP_VERBOSE >=1
1472 fputs("Zero order vertex formed\n",stderr
);
1476 if(mec
[i
]==mem
[i
]) add_memory(vc
,i
);
1478 for(l
=0;l
<q
;l
++) vc
.n_copy_aux1(j
,l
);
1480 vc
.n_copy_aux1_shift(j
,l
);
1483 edp
=mep
[i
]+((i
<<1)+1)*mec
[i
]++;
1487 edp
[l
+i
]=ed
[j
][l
+nu
[j
]];
1498 edd
=mep
[nu
[j
]]+((nu
[j
]<<1)+1)*--mec
[nu
[j
]];
1499 for(l
=0;l
<=(nu
[j
]<<1);l
++) ed
[j
][l
]=edd
[l
];
1500 vc
.n_set_aux2_copy(j
,nu
[j
]);
1501 vc
.n_set_to_aux2(edd
[nu
[j
]<<1]);
1502 vc
.n_set_to_aux1(j
);
1503 ed
[edd
[nu
[j
]<<1]]=edd
;
1509 /** This routine is a fall-back, in case floating point errors caused the usual
1510 * search routine to fail. In the fall-back routine, we just test every edge to
1511 * find one straddling the plane. */
1512 bool voronoicell_base::failsafe_find(int &lp
,int &ls
,int &us
,double &l
,double &u
) {
1513 fputs("Bailed out of convex calculation (not supported yet)\n",stderr
);
1516 for(qp=0;qp<p;qp++) {
1520 // The point is inside the cutting space. Now
1521 // see if we can find a neighbor which isn't.
1522 for(us=0;us<nu[qp];us++) {
1532 complicated_setup=true;
1534 complicated_setup=false;
1536 ls=ed[up][nu[up]+us];
1542 // The point is outside the cutting space. See
1543 // if we can find a neighbor which isn't.
1544 for(ls=0;ls<nu[qp];ls++) {
1554 complicated_setup=true;
1556 complicated_setup=false;
1558 us=ed[lp][nu[lp]+ls];
1564 // The point is in the plane, so we just
1565 // proceed with the complicated setup routine
1567 complicated_setup=true;
1571 if(qp==p) return qw==-1?true:false;*/
1574 /** Calculates the volume of the Voronoi cell, by decomposing the cell into
1575 * tetrahedra extending outward from the zeroth vertex, whose volumes are
1576 * evaluated using a scalar triple product.
1577 * \return A floating point number holding the calculated volume. */
1578 double voronoicell_base::volume() {
1579 const double fe
=1/48.0;
1582 double ux
,uy
,uz
,vx
,vy
,vz
,wx
,wy
,wz
;
1585 uy
=pts
[1]-pts
[(i
<<2)+1];
1586 uz
=pts
[2]-pts
[(i
<<2)+2];
1587 for(j
=0;j
<nu
[i
];j
++) {
1591 l
=cycle_up(ed
[i
][nu
[i
]+j
],k
);
1593 vy
=pts
[(k
<<2)+1]-pts
[1];
1594 vz
=pts
[(k
<<2)+2]-pts
[2];
1595 m
=ed
[k
][l
];ed
[k
][l
]=-1-m
;
1597 n
=cycle_up(ed
[k
][nu
[k
]+l
],m
);
1598 wx
=pts
[(m
<<2)]-*pts
;
1599 wy
=pts
[(m
<<2)+1]-pts
[1];
1600 wz
=pts
[(m
<<2)+2]-pts
[2];
1601 vol
+=ux
*vy
*wz
+uy
*vz
*wx
+uz
*vx
*wy
-uz
*vy
*wx
-uy
*vx
*wz
-ux
*vz
*wy
;
1602 k
=m
;l
=n
;vx
=wx
;vy
=wy
;vz
=wz
;
1603 m
=ed
[k
][l
];ed
[k
][l
]=-1-m
;
1612 /** Calculates the areas of each face of the Voronoi cell and prints the
1613 * results to an output stream.
1614 * \param[out] v the vector to store the results in. */
1615 void voronoicell_base::face_areas(std::vector
<double> &v
) {
1619 double ux
,uy
,uz
,vx
,vy
,vz
,wx
,wy
,wz
;
1620 for(i
=1;i
<p
;i
++) for(j
=0;j
<nu
[i
];j
++) {
1625 l
=cycle_up(ed
[i
][nu
[i
]+j
],k
);
1626 m
=ed
[k
][l
];ed
[k
][l
]=-1-m
;
1628 n
=cycle_up(ed
[k
][nu
[k
]+l
],m
);
1629 ux
=pts
[4*k
]-pts
[4*i
];
1630 uy
=pts
[4*k
+1]-pts
[4*i
+1];
1631 uz
=pts
[4*k
+2]-pts
[4*i
+2];
1632 vx
=pts
[4*m
]-pts
[4*i
];
1633 vy
=pts
[4*m
+1]-pts
[4*i
+1];
1634 vz
=pts
[4*m
+2]-pts
[4*i
+2];
1638 area
+=sqrt(wx
*wx
+wy
*wy
+wz
*wz
);
1640 m
=ed
[k
][l
];ed
[k
][l
]=-1-m
;
1642 v
.push_back(0.125*area
);
1649 /** Calculates the total surface area of the Voronoi cell.
1650 * \return The computed area. */
1651 double voronoicell_base::surface_area() {
1654 double ux
,uy
,uz
,vx
,vy
,vz
,wx
,wy
,wz
;
1655 for(i
=1;i
<p
;i
++) for(j
=0;j
<nu
[i
];j
++) {
1659 l
=cycle_up(ed
[i
][nu
[i
]+j
],k
);
1660 m
=ed
[k
][l
];ed
[k
][l
]=-1-m
;
1662 n
=cycle_up(ed
[k
][nu
[k
]+l
],m
);
1663 ux
=pts
[4*k
]-pts
[4*i
];
1664 uy
=pts
[4*k
+1]-pts
[4*i
+1];
1665 uz
=pts
[4*k
+2]-pts
[4*i
+2];
1666 vx
=pts
[4*m
]-pts
[4*i
];
1667 vy
=pts
[4*m
+1]-pts
[4*i
+1];
1668 vz
=pts
[4*m
+2]-pts
[4*i
+2];
1672 area
+=sqrt(wx
*wx
+wy
*wy
+wz
*wz
);
1674 m
=ed
[k
][l
];ed
[k
][l
]=-1-m
;
1683 /** Calculates the centroid of the Voronoi cell, by decomposing the cell into
1684 * tetrahedra extending outward from the zeroth vertex.
1685 * \param[out] (cx,cy,cz) references to floating point numbers in which to
1686 * pass back the centroid vector. */
1687 void voronoicell_base::centroid(double &cx
,double &cy
,double &cz
) {
1688 double tvol
,vol
=0;cx
=cy
=cz
=0;
1690 double ux
,uy
,uz
,vx
,vy
,vz
,wx
,wy
,wz
;
1693 uy
=pts
[1]-pts
[4*i
+1];
1694 uz
=pts
[2]-pts
[4*i
+2];
1695 for(j
=0;j
<nu
[i
];j
++) {
1699 l
=cycle_up(ed
[i
][nu
[i
]+j
],k
);
1701 vy
=pts
[4*k
+1]-pts
[1];
1702 vz
=pts
[4*k
+2]-pts
[2];
1703 m
=ed
[k
][l
];ed
[k
][l
]=-1-m
;
1705 n
=cycle_up(ed
[k
][nu
[k
]+l
],m
);
1707 wy
=pts
[4*m
+1]-pts
[1];
1708 wz
=pts
[4*m
+2]-pts
[2];
1709 tvol
=ux
*vy
*wz
+uy
*vz
*wx
+uz
*vx
*wy
-uz
*vy
*wx
-uy
*vx
*wz
-ux
*vz
*wy
;
1711 cx
+=(wx
+vx
-ux
)*tvol
;
1712 cy
+=(wy
+vy
-uy
)*tvol
;
1713 cz
+=(wz
+vz
-uz
)*tvol
;
1714 k
=m
;l
=n
;vx
=wx
;vy
=wy
;vz
=wz
;
1715 m
=ed
[k
][l
];ed
[k
][l
]=-1-m
;
1723 cx
=cx
*vol
+0.5*(*pts
);
1724 cy
=cy
*vol
+0.5*pts
[1];
1725 cz
=cz
*vol
+0.5*pts
[2];
1729 /** Computes the maximum radius squared of a vertex from the center of the
1730 * cell. It can be used to determine when enough particles have been testing an
1731 * all planes that could cut the cell have been considered.
1732 * \return The maximum radius squared of a vertex.*/
1733 double voronoicell_base::max_radius_squared() {
1734 double r
,s
,*ptsp
=pts
+4,*ptse
=pts
+(p
<<2);
1735 r
=*pts
*(*pts
)+pts
[1]*pts
[1]+pts
[2]*pts
[2];
1737 s
=*ptsp
*(*ptsp
);ptsp
++;
1738 s
+=*ptsp
*(*ptsp
);ptsp
++;
1739 s
+=*ptsp
*(*ptsp
);ptsp
+=2;
1745 /** Calculates the total edge distance of the Voronoi cell.
1746 * \return A floating point number holding the calculated distance. */
1747 double voronoicell_base::total_edge_distance() {
1749 double dis
=0,dx
,dy
,dz
;
1750 for(i
=0;i
<p
-1;i
++) for(j
=0;j
<nu
[i
];j
++) {
1753 dx
=pts
[k
<<2]-pts
[i
<<2];
1754 dy
=pts
[(k
<<2)+1]-pts
[(i
<<2)+1];
1755 dz
=pts
[(k
<<2)+2]-pts
[(i
<<2)+2];
1756 dis
+=sqrt(dx
*dx
+dy
*dy
+dz
*dz
);
1762 /** Outputs the edges of the Voronoi cell in POV-Ray format to an open file
1763 * stream, displacing the cell by given vector.
1764 * \param[in] (x,y,z) a displacement vector to be added to the cell's position.
1765 * \param[in] fp a file handle to write to. */
1766 void voronoicell_base::draw_pov(double x
,double y
,double z
,FILE* fp
) {
1767 int i
,j
,k
;double *ptsp
=pts
,*pt2
;
1768 char posbuf1
[128],posbuf2
[128];
1769 for(i
=0;i
<p
;i
++,ptsp
+=4) {
1770 sprintf(posbuf1
,"%g,%g,%g",x
+*ptsp
*0.5,y
+ptsp
[1]*0.5,z
+ptsp
[2]*0.5);
1771 fprintf(fp
,"sphere{<%s>,r}\n",posbuf1
);
1772 for(j
=0;j
<nu
[i
];j
++) {
1776 sprintf(posbuf2
,"%g,%g,%g",x
+*pt2
*0.5,y
+0.5*pt2
[1],z
+0.5*pt2
[2]);
1777 if(strcmp(posbuf1
,posbuf2
)!=0) fprintf(fp
,"cylinder{<%s>,<%s>,r}\n",posbuf1
,posbuf2
);
1783 /** Outputs the edges of the Voronoi cell in gnuplot format to an output stream.
1784 * \param[in] (x,y,z) a displacement vector to be added to the cell's position.
1785 * \param[in] fp a file handle to write to. */
1786 void voronoicell_base::draw_gnuplot(double x
,double y
,double z
,FILE *fp
) {
1788 for(i
=1;i
<p
;i
++) for(j
=0;j
<nu
[i
];j
++) {
1791 fprintf(fp
,"%g %g %g\n",x
+0.5*pts
[i
<<2],y
+0.5*pts
[(i
<<2)+1],z
+0.5*pts
[(i
<<2)+2]);
1794 ed
[k
][ed
[l
][nu
[l
]+m
]]=-1-l
;
1797 fprintf(fp
,"%g %g %g\n",x
+0.5*pts
[k
<<2],y
+0.5*pts
[(k
<<2)+1],z
+0.5*pts
[(k
<<2)+2]);
1798 } while (search_edge(l
,m
,k
));
1805 inline bool voronoicell_base::search_edge(int l
,int &m
,int &k
) {
1806 for(m
=0;m
<nu
[l
];m
++) {
1808 if(k
>=0) return true;
1813 /** Outputs the Voronoi cell in the POV mesh2 format, described in section
1814 * 1.3.2.2 of the POV-Ray documentation. The mesh2 output consists of a list of
1815 * vertex vectors, followed by a list of triangular faces. The routine also
1816 * makes use of the optional inside_vector specification, which makes the mesh
1817 * object solid, so that the POV-Ray Constructive Solid Geometry (CSG) can be
1819 * \param[in] (x,y,z) a displacement vector to be added to the cell's position.
1820 * \param[in] fp a file handle to write to. */
1821 void voronoicell_base::draw_pov_mesh(double x
,double y
,double z
,FILE *fp
) {
1824 fprintf(fp
,"mesh2 {\nvertex_vectors {\n%d\n",p
);
1825 for(i
=0;i
<p
;i
++,ptsp
+=4) fprintf(fp
,",<%g,%g,%g>\n",x
+*ptsp
*0.5,y
+ptsp
[1]*0.5,z
+ptsp
[2]*0.5);
1826 fprintf(fp
,"}\nface_indices {\n%d\n",(p
-2)<<1);
1827 for(i
=1;i
<p
;i
++) for(j
=0;j
<nu
[i
];j
++) {
1831 l
=cycle_up(ed
[i
][nu
[i
]+j
],k
);
1832 m
=ed
[k
][l
];ed
[k
][l
]=-1-m
;
1834 n
=cycle_up(ed
[k
][nu
[k
]+l
],m
);
1835 fprintf(fp
,",<%d,%d,%d>\n",i
,k
,m
);
1837 m
=ed
[k
][l
];ed
[k
][l
]=-1-m
;
1841 fputs("}\ninside_vector <0,0,1>\n}\n",fp
);
1845 /** Several routines in the class that gather cell-based statistics internally
1846 * track their progress by flipping edges to negative so that they know what
1847 * parts of the cell have already been tested. This function resets them back
1848 * to positive. When it is called, it assumes that every edge in the routine
1849 * should have already been flipped to negative, and it bails out with an
1850 * internal error if it encounters a positive edge. */
1851 inline void voronoicell_base::reset_edges() {
1853 for(i
=0;i
<p
;i
++) for(j
=0;j
<nu
[i
];j
++) {
1854 if(ed
[i
][j
]>=0) voro_fatal_error("Edge reset routine found a previously untested edge",VOROPP_INTERNAL_ERROR
);
1855 ed
[i
][j
]=-1-ed
[i
][j
];
1859 /** Checks to see if a given vertex is inside, outside or within the test
1860 * plane. If the point is far away from the test plane, the routine immediately
1861 * returns whether it is inside or outside. If the routine is close the the
1862 * plane and within the specified tolerance, then the special check_marginal()
1863 * routine is called.
1864 * \param[in] n the vertex to test.
1865 * \param[out] ans the result of the scalar product used in evaluating the
1866 * location of the point.
1867 * \return -1 if the point is inside the plane, 1 if the point is outside the
1868 * plane, or 0 if the point is within the plane. */
1869 inline unsigned int voronoicell_base::m_test(int n
,double &ans
) {
1870 if(mask
[n
]>=maskc
) {
1873 } else return m_calc(n
,ans
);
1876 unsigned int voronoicell_base::m_calc(int n
,double &ans
) {
1880 ans
+=*(pp
++)*pz
-prsq
;
1882 unsigned int maskr
=ans
<-tol
?0:(ans
>tol
?2:1);
1883 mask
[n
]=maskc
|maskr
;
1888 /** Checks to see if a given vertex is inside, outside or within the test
1889 * plane. If the point is far away from the test plane, the routine immediately
1890 * returns whether it is inside or outside. If the routine is close the the
1891 * plane and within the specified tolerance, then the special check_marginal()
1892 * routine is called.
1893 * \param[in] n the vertex to test.
1894 * \param[out] ans the result of the scalar product used in evaluating the
1895 * location of the point.
1896 * \return -1 if the point is inside the plane, 1 if the point is outside the
1897 * plane, or 0 if the point is within the plane. */
1898 inline unsigned int voronoicell_base::m_testx(int n
,double &ans
) {
1900 if(mask
[n
]>=maskc
) {
1903 } else maskr
=m_calc(n
,ans
);
1904 if(maskr
==0&&ans
>-big_tol
&&ed
[n
][nu
[n
]<<1]!=-1) {
1906 if(stackp3
==stacke3
) add_memory_xse();
1912 /** This routine calculates the unit normal vectors for every face.
1913 * \param[out] v the vector to store the results in. */
1914 void voronoicell_base::normals(std::vector
<double> &v
) {
1917 for(i
=1;i
<p
;i
++) for(j
=0;j
<nu
[i
];j
++) {
1919 if(k
>=0) normals_search(v
,i
,j
,k
);
1924 /** This inline routine is called by normals(). It attempts to construct a
1925 * single normal vector that is associated with a particular face. It first
1926 * traces around the face, trying to find two vectors along the face edges
1927 * whose vector product is above the numerical tolerance. It then constructs
1928 * the normal vector using this product. If the face is too small, and none of
1929 * the vector products are large enough, the routine may return (0,0,0) as the
1931 * \param[in] v the vector to store the results in.
1932 * \param[in] i the initial vertex of the face to test.
1933 * \param[in] j the index of an edge of the vertex.
1934 * \param[in] k the neighboring vertex of i, set to ed[i][j]. */
1935 inline void voronoicell_base::normals_search(std::vector
<double> &v
,int i
,int j
,int k
) {
1937 int l
=cycle_up(ed
[i
][nu
[i
]+j
],k
),m
;
1938 double ux
,uy
,uz
,vx
,vy
,vz
,wx
,wy
,wz
,wmag
;
1940 m
=ed
[k
][l
];ed
[k
][l
]=-1-m
;
1941 ux
=pts
[4*m
]-pts
[4*k
];
1942 uy
=pts
[4*m
+1]-pts
[4*k
+1];
1943 uz
=pts
[4*m
+2]-pts
[4*k
+2];
1945 // Test to see if the length of this edge is above the tolerance
1946 if(ux
*ux
+uy
*uy
+uz
*uz
>tol
) {
1948 l
=cycle_up(ed
[k
][nu
[k
]+l
],m
);
1949 k
=m
;m
=ed
[k
][l
];ed
[k
][l
]=-1-m
;
1950 vx
=pts
[4*m
]-pts
[4*k
];
1951 vy
=pts
[4*m
+1]-pts
[4*k
+1];
1952 vz
=pts
[4*m
+2]-pts
[4*k
+2];
1954 // Construct the vector product of this edge with
1959 wmag
=wx
*wx
+wy
*wy
+wz
*wz
;
1961 // Test to see if this vector product of the
1962 // two edges is above the tolerance
1965 // Construct the normal vector and print it
1967 v
.push_back(wx
*wmag
);
1968 v
.push_back(wy
*wmag
);
1969 v
.push_back(wz
*wmag
);
1971 // Mark all of the remaining edges of this
1974 l
=cycle_up(ed
[k
][nu
[k
]+l
],m
);
1975 k
=m
;m
=ed
[k
][l
];ed
[k
][l
]=-1-m
;
1985 l
=cycle_up(ed
[k
][nu
[k
]+l
],m
);
1994 /** Returns the number of faces of a computed Voronoi cell.
1995 * \return The number of faces. */
1996 int voronoicell_base::number_of_faces() {
1998 for(i
=1;i
<p
;i
++) for(j
=0;j
<nu
[i
];j
++) {
2003 l
=cycle_up(ed
[i
][nu
[i
]+j
],k
);
2007 l
=cycle_up(ed
[k
][nu
[k
]+l
],m
);
2017 /** Returns a vector of the vertex orders.
2018 * \param[out] v the vector to store the results in. */
2019 void voronoicell_base::vertex_orders(std::vector
<int> &v
) {
2021 for(int i
=0;i
<p
;i
++) v
[i
]=nu
[i
];
2024 /** Outputs the vertex orders.
2025 * \param[out] fp the file handle to write to. */
2026 void voronoicell_base::output_vertex_orders(FILE *fp
) {
2028 fprintf(fp
,"%d",*nu
);
2029 for(int *nup
=nu
+1;nup
<nu
+p
;nup
++) fprintf(fp
," %d",*nup
);
2033 /** Returns a vector of the vertex vectors using the local coordinate system.
2034 * \param[out] v the vector to store the results in. */
2035 void voronoicell_base::vertices(std::vector
<double> &v
) {
2038 for(int i
=0;i
<3*p
;i
+=3) {
2040 v
[i
+1]=*(ptsp
++)*0.5;
2041 v
[i
+2]=*ptsp
*0.5;ptsp
+=2;
2045 /** Outputs the vertex vectors using the local coordinate system.
2046 * \param[out] fp the file handle to write to. */
2047 void voronoicell_base::output_vertices(FILE *fp
) {
2049 fprintf(fp
,"(%g,%g,%g)",*pts
*0.5,pts
[1]*0.5,pts
[2]*0.5);
2050 for(double *ptsp
=pts
+4;ptsp
<pts
+(p
<<2);ptsp
+=4) fprintf(fp
," (%g,%g,%g)",*ptsp
*0.5,ptsp
[1]*0.5,ptsp
[2]*0.5);
2055 /** Returns a vector of the vertex vectors in the global coordinate system.
2056 * \param[out] v the vector to store the results in.
2057 * \param[in] (x,y,z) the position vector of the particle in the global
2058 * coordinate system. */
2059 void voronoicell_base::vertices(double x
,double y
,double z
,std::vector
<double> &v
) {
2062 for(int i
=0;i
<3*p
;i
+=3) {
2063 v
[i
]=x
+*(ptsp
++)*0.5;
2064 v
[i
+1]=y
+*(ptsp
++)*0.5;
2065 v
[i
+2]=z
+*ptsp
*0.5;ptsp
+=2;
2069 /** Outputs the vertex vectors using the global coordinate system.
2070 * \param[out] fp the file handle to write to.
2071 * \param[in] (x,y,z) the position vector of the particle in the global
2072 * coordinate system. */
2073 void voronoicell_base::output_vertices(double x
,double y
,double z
,FILE *fp
) {
2075 fprintf(fp
,"(%g,%g,%g)",x
+*pts
*0.5,y
+pts
[1]*0.5,z
+pts
[2]*0.5);
2076 for(double *ptsp
=pts
+4;ptsp
<pts
+(p
<<2);ptsp
+=4) fprintf(fp
," (%g,%g,%g)",x
+*ptsp
*0.5,y
+ptsp
[1]*0.5,z
+ptsp
[2]*0.5);
2080 /** This routine returns the perimeters of each face.
2081 * \param[out] v the vector to store the results in. */
2082 void voronoicell_base::face_perimeters(std::vector
<double> &v
) {
2085 double dx
,dy
,dz
,perim
;
2086 for(i
=1;i
<p
;i
++) for(j
=0;j
<nu
[i
];j
++) {
2089 dx
=pts
[k
<<2]-pts
[i
<<2];
2090 dy
=pts
[(k
<<2)+1]-pts
[(i
<<2)+1];
2091 dz
=pts
[(k
<<2)+2]-pts
[(i
<<2)+2];
2092 perim
=sqrt(dx
*dx
+dy
*dy
+dz
*dz
);
2094 l
=cycle_up(ed
[i
][nu
[i
]+j
],k
);
2097 dx
=pts
[m
<<2]-pts
[k
<<2];
2098 dy
=pts
[(m
<<2)+1]-pts
[(k
<<2)+1];
2099 dz
=pts
[(m
<<2)+2]-pts
[(k
<<2)+2];
2100 perim
+=sqrt(dx
*dx
+dy
*dy
+dz
*dz
);
2102 l
=cycle_up(ed
[k
][nu
[k
]+l
],m
);
2105 v
.push_back(0.5*perim
);
2111 /** For each face, this routine outputs a bracketed sequence of numbers
2112 * containing a list of all the vertices that make up that face.
2113 * \param[out] v the vector to store the results in. */
2114 void voronoicell_base::face_vertices(std::vector
<int> &v
) {
2115 int i
,j
,k
,l
,m
,vp(0),vn
;
2117 for(i
=1;i
<p
;i
++) for(j
=0;j
<nu
[i
];j
++) {
2123 l
=cycle_up(ed
[i
][nu
[i
]+j
],k
);
2128 l
=cycle_up(ed
[k
][nu
[k
]+l
],m
);
2139 /** Outputs a list of the number of edges in each face.
2140 * \param[out] v the vector to store the results in. */
2141 void voronoicell_base::face_orders(std::vector
<int> &v
) {
2144 for(i
=1;i
<p
;i
++) for(j
=0;j
<nu
[i
];j
++) {
2149 l
=cycle_up(ed
[i
][nu
[i
]+j
],k
);
2154 l
=cycle_up(ed
[k
][nu
[k
]+l
],m
);
2163 /** Computes the number of edges that each face has and outputs a frequency
2164 * table of the results.
2165 * \param[out] v the vector to store the results in. */
2166 void voronoicell_base::face_freq_table(std::vector
<int> &v
) {
2169 for(i
=1;i
<p
;i
++) for(j
=0;j
<nu
[i
];j
++) {
2174 l
=cycle_up(ed
[i
][nu
[i
]+j
],k
);
2179 l
=cycle_up(ed
[k
][nu
[k
]+l
],m
);
2182 if((unsigned int) q
>=v
.size()) v
.resize(q
+1,0);
2189 /** This routine tests to see whether the cell intersects a plane by starting
2190 * from the guess point up. If up intersects, then it immediately returns true.
2191 * Otherwise, it calls the plane_intersects_track() routine.
2192 * \param[in] (x,y,z) the normal vector to the plane.
2193 * \param[in] rsq the distance along this vector of the plane.
2194 * \return False if the plane does not intersect the plane, true if it does. */
2195 bool voronoicell_base::plane_intersects(double x
,double y
,double z
,double rsq
) {
2196 double g
=x
*pts
[up
<<2]+y
*pts
[(up
<<2)+1]+z
*pts
[(up
<<2)+2];
2197 if(g
<rsq
) return plane_intersects_track(x
,y
,z
,rsq
,g
);
2201 /** This routine tests to see if a cell intersects a plane. It first tests a
2202 * random sample of approximately sqrt(p)/4 points. If any of those are
2203 * intersect, then it immediately returns true. Otherwise, it takes the closest
2204 * point and passes that to plane_intersect_track() routine.
2205 * \param[in] (x,y,z) the normal vector to the plane.
2206 * \param[in] rsq the distance along this vector of the plane.
2207 * \return False if the plane does not intersect the plane, true if it does. */
2208 bool voronoicell_base::plane_intersects_guess(double x
,double y
,double z
,double rsq
) {
2210 double g
=x
*pts
[up
<<2]+y
*pts
[(up
<<2)+1]+z
*pts
[(up
<<2)+2];
2212 int ca
=1,cc
=p
>>3,mp
=1;
2215 m
=x
*pts
[4*mp
]+y
*pts
[4*mp
+1]+z
*pts
[4*mp
+2];
2217 if(m
>rsq
) return true;
2222 return plane_intersects_track(x
,y
,z
,rsq
,g
);
2227 /* This routine tests to see if a cell intersects a plane, by tracing over the
2228 * cell from vertex to vertex, starting at up. It is meant to be called either
2229 * by plane_intersects() or plane_intersects_track(), when those routines
2230 * cannot immediately resolve the case.
2231 * \param[in] (x,y,z) the normal vector to the plane.
2232 * \param[in] rsq the distance along this vector of the plane.
2233 * \param[in] g the distance of up from the plane.
2234 * \return False if the plane does not intersect the plane, true if it does. */
2235 inline bool voronoicell_base::plane_intersects_track(double x
,double y
,double z
,double rsq
,double g
) {
2237 for(int tp
=0;tp
<p
;tp
++) if(x
*pts
[tp
<<2]+y
*pts
[(tp
<<2)+1]+z
*pts
[(tp
<<2)+2]>rsq
) return true;
2244 // Initialize the safe testing routine
2245 px=x;py=y;pz=z;prsq=rsq;
2247 if(maskc<4) reset_mask();
2249 return search_upward(uw,lp,ls,us,l,u);
2252 int count=0,ls,us,tp;
2254 // The test point is outside of the cutting space
2255 for(us=0;us<nu[up];us++) {
2257 t=x*pts[tp<<2]+y*pts[(tp<<2)+1]+z*pts[(tp<<2)+2];
2259 ls=ed[up][nu[up]+us];
2263 #if VOROPP_VERBOSE >=1
2264 fputs("Bailed out of convex calculation",stderr);
2266 for(tp=0;tp<p;tp++) if(x*pts[tp<<2]+y*pts[(tp<<2)+1]+z*pts[(tp<<2)+2]>rsq) return true;
2270 // Test all the neighbors of the current point
2271 // and find the one which is closest to the
2273 for(us=0;us<ls;us++) {
2274 tp=ed[up][us];double *pp=pts+(tp<<2);
2275 g=x*(*pp)+y*pp[1]+z*pp[2];
2281 tp=ed[up][us];double *pp=pts+(tp<<2);
2282 g=x*(*pp)+y*pp[1]+z*pp[2];
2286 if(us==nu[up]) return false;
2288 ls=ed[up][nu[up]+us];up=tp;t=g;
2296 /** Counts the number of edges of the Voronoi cell.
2297 * \return the number of edges. */
2298 int voronoicell_base::number_of_edges() {
2299 int edges
=0,*nup
=nu
;
2300 while(nup
<nu
+p
) edges
+=*(nup
++);
2304 /** Outputs a custom string of information about the Voronoi cell. The string
2305 * of information follows a similar style as the C printf command, and detailed
2306 * information about its format is available at
2307 * http://math.lbl.gov/voro++/doc/custom.html.
2308 * \param[in] format the custom string to print.
2309 * \param[in] i the ID of the particle associated with this Voronoi cell.
2310 * \param[in] (x,y,z) the position of the particle associated with this Voronoi
2312 * \param[in] r a radius associated with the particle.
2313 * \param[in] fp the file handle to write to. */
2314 void voronoicell_base::output_custom(const char *format
,int i
,double x
,double y
,double z
,double r
,FILE *fp
) {
2315 char *fmp
=(const_cast<char*>(format
));
2316 std::vector
<int> vi
;
2317 std::vector
<double> vd
;
2323 // Particle-related output
2324 case 'i': fprintf(fp
,"%d",i
);break;
2325 case 'x': fprintf(fp
,"%g",x
);break;
2326 case 'y': fprintf(fp
,"%g",y
);break;
2327 case 'z': fprintf(fp
,"%g",z
);break;
2328 case 'q': fprintf(fp
,"%g %g %g",x
,y
,z
);break;
2329 case 'r': fprintf(fp
,"%g",r
);break;
2331 // Vertex-related output
2332 case 'w': fprintf(fp
,"%d",p
);break;
2333 case 'p': output_vertices(fp
);break;
2334 case 'P': output_vertices(x
,y
,z
,fp
);break;
2335 case 'o': output_vertex_orders(fp
);break;
2336 case 'm': fprintf(fp
,"%g",0.25*max_radius_squared());break;
2338 // Edge-related output
2339 case 'g': fprintf(fp
,"%d",number_of_edges());break;
2340 case 'E': fprintf(fp
,"%g",total_edge_distance());break;
2341 case 'e': face_perimeters(vd
);voro_print_vector(vd
,fp
);break;
2343 // Face-related output
2344 case 's': fprintf(fp
,"%d",number_of_faces());break;
2345 case 'F': fprintf(fp
,"%g",surface_area());break;
2347 face_freq_table(vi
);
2348 voro_print_vector(vi
,fp
);
2350 case 'a': face_orders(vi
);voro_print_vector(vi
,fp
);break;
2351 case 'f': face_areas(vd
);voro_print_vector(vd
,fp
);break;
2354 voro_print_face_vertices(vi
,fp
);
2356 case 'l': normals(vd
);
2357 voro_print_positions(vd
,fp
);
2359 case 'n': neighbors(vi
);
2360 voro_print_vector(vi
,fp
);
2363 // Volume-related output
2364 case 'v': fprintf(fp
,"%g",volume());break;
2368 fprintf(fp
,"%g %g %g",cx
,cy
,cz
);
2373 fprintf(fp
,"%g %g %g",x
+cx
,y
+cy
,z
+cz
);
2376 // End-of-string reached
2377 case 0: fmp
--;break;
2379 // The percent sign is not part of a
2381 default: putc('%',fp
);putc(*fmp
,fp
);
2383 } else putc(*fmp
,fp
);
2389 /** This initializes the class to be a rectangular box. It calls the base class
2390 * initialization routine to set up the edge and vertex information, and then
2391 * sets up the neighbor information, with initial faces being assigned ID
2392 * numbers from -1 to -6.
2393 * \param[in] (xmin,xmax) the minimum and maximum x coordinates.
2394 * \param[in] (ymin,ymax) the minimum and maximum y coordinates.
2395 * \param[in] (zmin,zmax) the minimum and maximum z coordinates. */
2396 void voronoicell_neighbor::init(double xmin
,double xmax
,double ymin
,double ymax
,double zmin
,double zmax
) {
2397 init_base(xmin
,xmax
,ymin
,ymax
,zmin
,zmax
);
2399 *q
=-5;q
[1]=-3;q
[2]=-1;
2400 q
[3]=-5;q
[4]=-2;q
[5]=-3;
2401 q
[6]=-5;q
[7]=-1;q
[8]=-4;
2402 q
[9]=-5;q
[10]=-4;q
[11]=-2;
2403 q
[12]=-6;q
[13]=-1;q
[14]=-3;
2404 q
[15]=-6;q
[16]=-3;q
[17]=-2;
2405 q
[18]=-6;q
[19]=-4;q
[20]=-1;
2406 q
[21]=-6;q
[22]=-2;q
[23]=-4;
2407 *ne
=q
;ne
[1]=q
+3;ne
[2]=q
+6;ne
[3]=q
+9;
2408 ne
[4]=q
+12;ne
[5]=q
+15;ne
[6]=q
+18;ne
[7]=q
+21;
2411 /** This initializes the class to be an octahedron. It calls the base class
2412 * initialization routine to set up the edge and vertex information, and then
2413 * sets up the neighbor information, with the initial faces being assigned ID
2414 * numbers from -1 to -8.
2415 * \param[in] l The distance from the octahedron center to a vertex. Six
2416 * vertices are initialized at (-l,0,0), (l,0,0), (0,-l,0),
2417 * (0,l,0), (0,0,-l), and (0,0,l). */
2418 void voronoicell_neighbor::init_octahedron(double l
) {
2419 init_octahedron_base(l
);
2421 *q
=-5;q
[1]=-6;q
[2]=-7;q
[3]=-8;
2422 q
[4]=-1;q
[5]=-2;q
[6]=-3;q
[7]=-4;
2423 q
[8]=-6;q
[9]=-5;q
[10]=-2;q
[11]=-1;
2424 q
[12]=-8;q
[13]=-7;q
[14]=-4;q
[15]=-3;
2425 q
[16]=-5;q
[17]=-8;q
[18]=-3;q
[19]=-2;
2426 q
[20]=-7;q
[21]=-6;q
[22]=-1;q
[23]=-4;
2427 *ne
=q
;ne
[1]=q
+4;ne
[2]=q
+8;ne
[3]=q
+12;ne
[4]=q
+16;ne
[5]=q
+20;
2430 /** This initializes the class to be a tetrahedron. It calls the base class
2431 * initialization routine to set up the edge and vertex information, and then
2432 * sets up the neighbor information, with the initial faces being assigned ID
2433 * numbers from -1 to -4.
2434 * \param (x0,y0,z0) a position vector for the first vertex.
2435 * \param (x1,y1,z1) a position vector for the second vertex.
2436 * \param (x2,y2,z2) a position vector for the third vertex.
2437 * \param (x3,y3,z3) a position vector for the fourth vertex. */
2438 void voronoicell_neighbor::init_tetrahedron(double x0
,double y0
,double z0
,double x1
,double y1
,double z1
,double x2
,double y2
,double z2
,double x3
,double y3
,double z3
) {
2439 init_tetrahedron_base(x0
,y0
,z0
,x1
,y1
,z1
,x2
,y2
,z2
,x3
,y3
,z3
);
2441 *q
=-4;q
[1]=-3;q
[2]=-2;
2442 q
[3]=-3;q
[4]=-4;q
[5]=-1;
2443 q
[6]=-4;q
[7]=-2;q
[8]=-1;
2444 q
[9]=-2;q
[10]=-3;q
[11]=-1;
2445 *ne
=q
;ne
[1]=q
+3;ne
[2]=q
+6;ne
[3]=q
+9;
2448 /** This routine checks to make sure the neighbor information of each face is
2450 void voronoicell_neighbor::check_facets() {
2452 for(i
=1;i
<p
;i
++) for(j
=0;j
<nu
[i
];j
++) {
2457 l
=cycle_up(ed
[i
][nu
[i
]+j
],k
);
2461 if(ne
[k
][l
]!=q
) fprintf(stderr
,"Facet error at (%d,%d)=%d, started from (%d,%d)=%d\n",k
,l
,ne
[k
][l
],i
,j
,q
);
2462 l
=cycle_up(ed
[k
][nu
[k
]+l
],m
);
2470 /** The class constructor allocates memory for storing neighbor information. */
2471 void voronoicell_neighbor::memory_setup() {
2473 mne
=new int*[current_vertex_order
];
2474 ne
=new int*[current_vertices
];
2475 for(i
=0;i
<3;i
++) mne
[i
]=new int[init_n_vertices
*i
];
2476 mne
[3]=new int[init_3_vertices
*3];
2477 for(i
=4;i
<current_vertex_order
;i
++) mne
[i
]=new int[init_n_vertices
*i
];
2480 /** The class destructor frees the dynamically allocated memory for storing
2481 * neighbor information. */
2482 voronoicell_neighbor::~voronoicell_neighbor() {
2483 for(int i
=current_vertex_order
-1;i
>=0;i
--) if(mem
[i
]>0) delete [] mne
[i
];
2488 /** Computes a vector list of neighbors. */
2489 void voronoicell_neighbor::neighbors(std::vector
<int> &v
) {
2492 for(i
=1;i
<p
;i
++) for(j
=0;j
<nu
[i
];j
++) {
2495 v
.push_back(ne
[i
][j
]);
2497 l
=cycle_up(ed
[i
][nu
[i
]+j
],k
);
2501 l
=cycle_up(ed
[k
][nu
[k
]+l
],m
);
2509 /** Prints the vertices, their edges, the relation table, and also notifies if
2510 * any memory errors are visible. */
2511 void voronoicell_base::print_edges() {
2514 for(int i
=0;i
<p
;i
++,ptsp
+=4) {
2515 printf("%d %d ",i
,nu
[i
]);
2516 for(j
=0;j
<nu
[i
];j
++) printf(" %d",ed
[i
][j
]);
2518 while(j
<(nu
[i
]<<1)) printf(" %d",ed
[i
][j
]);
2519 printf(" %d",ed
[i
][j
]);
2520 print_edges_neighbors(i
);
2521 printf(" %g %g %g %p",*ptsp
,ptsp
[1],ptsp
[2],(void*) ed
[i
]);
2522 if(ed
[i
]>=mep
[nu
[i
]]+mec
[nu
[i
]]*((nu
[i
]<<1)+1)) puts(" Memory error");
2527 /** This prints out the neighbor information for vertex i. */
2528 void voronoicell_neighbor::print_edges_neighbors(int i
) {
2532 while(j
<nu
[i
]-1) printf("%d,",ne
[i
][j
++]);
2533 printf("%d)",ne
[i
][j
]);
2534 } else printf(" ()");
2537 // Explicit instantiation
2538 template bool voronoicell_base::nplane(voronoicell
&,double,double,double,double,int);
2539 template bool voronoicell_base::nplane(voronoicell_neighbor
&,double,double,double,double,int);
2540 template void voronoicell_base::check_memory_for_copy(voronoicell
&,voronoicell_base
*);
2541 template void voronoicell_base::check_memory_for_copy(voronoicell_neighbor
&,voronoicell_base
*);