source: Sophya/trunk/SophyaPI/PIext/piafitting.cc@ 466

Last change on this file since 466 was 466, checked in by ercodmgr, 26 years ago

Changement nom /func en /autoc
Nouvelles commandes PAW-like n/plot,...,reset,h/plot/2d etc..
Creation de helpfit pour commenatires fit,fitlin,fitw,crfitfun etc..

cmv 14/10/99

File size: 60.3 KB
Line 
1//CMVBUG reste pb suivant sous Linux-egcs (OSF1-cxx c'est ok):
2//openppf cmvwppf.ppf
3//fitw h1g g2 p:4500,45,10,900
4//delobjs h1g
5//clic sur FIT -> OK
6//clic sur FIT 2sd fois -> core dump!!!
7//
8#include <stdio.h>
9#include <stdlib.h>
10#include <ctype.h>
11#include <iostream.h>
12#include <typeinfo>
13
14#include "strutil.h"
15#include "nbtri.h"
16#include "generalfit.h"
17#include "fct1dfit.h"
18#include "fct2dfit.h"
19#include "matrix.h"
20#include "cvector.h"
21#include "ntuple.h"
22#include "cimage.h"
23#include "histos.h"
24#include "histos2.h"
25#include "ntuple.h"
26#include "hisprof.h"
27
28#include "piafitting.h"
29#include "nobjmgr.h"
30#include "pistdimgapp.h"
31
32////////////////////////////////////////////////////////////////////
33////---------- Classe de fenetre de fit interactive ------------////
34////////////////////////////////////////////////////////////////////
35class PIAFitterWind : public PIWindow {
36public :
37 PIAFitterWind(PIStdImgApp* par, PIAFitter* fiter);
38 virtual ~PIAFitterWind();
39 virtual void Show();
40 virtual void Process(PIMessage msg, PIMsgHandler* sender, void* data=NULL);
41 void SetState(void);
42protected :
43 PIStdImgApp* mDap;
44 PIAFitter* mFitter;
45 PILabel** lab; int nlab;
46 PIText** txt; int ntxt;
47 PIButton** but; int nbut;
48 PICheckBox** ckb; int nckb;
49 PIOptMenu** pom; int npom;
50 bool ReFillGData;
51 int saveI1,saveI2, saveJ1, saveJ2;
52 double ErrValue;
53};
54
55////////////////////////////////////////////////////////////////////////
56// --- Generation automatique du "usage" pour helpfit:
57// 1-/ copier le texte ci-dessous de piafitting.cc dans toto
58// 2-/ cat toto | sed 's?^//?usage+="\\n?' | sed 's?$? ";?'
59// NE PAS EFFACER LA SUITE: c'est elle qui doit etre modifiee,
60// le usage du helpfit sera regenere a l'aide des commandes ci-dessus.
61////////////////////////////////////////////////////////////////////////
62//| --------------- Fit Lineaire a 1 et 2 dimensions ---------------
63//| Syntaxe:
64//| fitlin nom pnn [o:.aa,bb,cc, o;dd,ee,ff o:gg,hh,jj,kk etc...]
65//| avec:
66//| nom : cf commentaire ordre ''fit''
67//| pnn : fit polynome degre nn avec classe Poly (lineaire) 1D ou 2D
68//| o:aa,...,bb : cf commentaires ordre ''fit''
69//|
70////////////////////////////////////////////////////////////////////////
71//| --------------- Fit d'objets a 1 et 2 dimensions ---------------
72//| avec interface d'aide graphique
73//| Syntaxe:
74//| fitw nom func
75//| [p:p1,p2,...,pn s:s1,s2,...,sn m:m1,m2,...,mn M:M1,mM2,...,Mn f:f1,...,fn]
76//| [o:.aa,bb,cc, o;dd,ee,ff o:gg,hh,jj,kk etc...]
77//| cf commentaire ordre ''fit''
78//|
79////////////////////////////////////////////////////////////////////////
80//| --------------- Fit d'objets a 1 et 2 dimensions ---------------
81//| Syntaxe:
82//| fit nom func
83//| [p:p1,p2,...,pn s:s1,s2,...,sn m:m1,m2,...,mn M:M1,mM2,...,Mn f:f1,...,fn]
84//| [o:.aa,bb,cc, o;dd,ee,ff o:gg,hh,jj,kk etc...]
85//|----- OBJET -----
86//| nom : nom de l'objet qui peut etre:
87//| fit-1D: Vector,Histo1D,HProf ou GeneraFitData(1D)
88//| fit-2D: Matrix,Histo2D,Image<T> ou GeneraFitData(2D)
89//|
90//|----- FUNCTION -----
91//| func : pnn : fit polynome degre nn avec GeneralFit (non-lineaire) 1D ou 2D
92//| : gnn : fit gaussienne (hauteur) + polynome de degre nn 1D
93//| : g : fit gaussienne (hauteur) 1D
94//| : enn : fit exponentielle + polynome de degre nn 1D
95//| : e : fit exponentielle 1D
96//| : Gnn : fit gaussienne (volume) + polynome de degre nn 1D
97//| : G : fit gaussienne (volume) 1D
98//| : : fit gaussienne+fond (volume) 2D
99//| : Gi : fit gaussienne+fond integree (volume) 2D
100//| : d : fit DL de gaussienne+fond (volume) 2D
101//| : di : fit DL de gaussienne+fond integree (volume) 2D
102//| : D : fit DL de gaussienne+fond avec coeff variable p6 (volume) 2D
103//| : Di : fit DL de gaussienne+fond integree avec coeff variable p6 (volume) 2D
104//| : M : fit Moffat+fond (expos=p6) (volume) 2D
105//| : Mi : fit Moffat+fond integree (expos=p6) (volume) 2D
106//| : Autre : fonction definie par l'utilisateur (cf commentaires ci apres)
107//|
108//|----- INIT PARAMETRES ET ETAT DU FIT -----
109//| p : p1,...,pn : valeur d'initialisation des parametres (def=0)
110//| s : s1,...,sn : valeur des steps de depart (def=1)
111//| m : m1,...,mn : valeur des minima (def=1)
112//| M : M1,...,Mn : valeur des maxima (def=-1) (max<=min : pas de limite)
113//| f : f1,...,fn : si >=1 parametre fixe sinon libre (def=0)
114//| - Remarque: si pi,si,mi ou Mi = '!' la valeur correspondante n'est pas changee
115//|
116//|----- OPTIONS -----
117//| o : options ''o:Eaa.b,eaa.b,f,r,caa.b,Xaa.b''
118//| F : initialisation a partir des resultats et de l'etat du fit precedent
119//| (option non prioritaire sur les definitions p:,s:,m:,M:,f:o:)
120//| a : initialisation automatique des parametres du fit (si disponible)
121//| (option non prioritaire sur les definitions p:,s:,m:,M:,f:o:
122//| et sur l'initialisation pa l'option ''F'')
123//| f : generation d'un Objet identique contenant la fonction fittee
124//| r : generation d'un Objet identique contenant les residus
125//| Xaa.b : aa.b valeur du DXi2 d'arret (def=1.e-3)
126//| Naa : aa nombre maximum d'iterations (def=100)
127//| la : niveau ''a'' de print: a=niveau de print Fit1/2D
128//| da : niveau ''a'' de debug: a=niveau de GeneralFit
129//| Ii1/i2 : numeros des bins X de l'histos utilises pour le fit [i1,i2]
130//|2D Jj1/j2 : numeros des bins Y de l'histos utilises pour le fit [j1,j2]
131//| - L'erreur est celle associee a l'objet (si elle existe),
132//| elle est mise a 1 sinon, sauf si E... ou e... est precise:
133//| Eaa.b : si |val|>=1 erreur = aa.b*sqrt(|val|)
134//| si |val|<1 erreur = aa.b
135//| si aa.b <=0 alors aa.b=1.0
136//| E seul est equivalent a E1.0
137//| eaa.b : erreur = aa.b
138//| si aa.b <=0 alors aa.b=1.0
139//| e seul est equivalent a e1.0
140//| xaa.b : demande de centrage: on fit x-aa.b au lieu de x)
141//| x : demande de centrage: on fit x-xc au lieu de x
142//| avec xc=abscisse du milieu de l'histogramme
143//| Actif pour exp+poly 1D, poly 1D
144//| Pour gauss+poly 1D, xc est le centre de la gaussienne.
145//|2D yaa.b et y : idem ''xaa.b et x'' mais pour y
146//|
147////////////////////////////////////////////////////////////////////////
148//| --------------- Def des fcts de fit par l'utilisateur ---------------
149//| Pour definir une fonction parametree utilisateur:
150//| Un exemple de fichier contenant des fonctions a fitter: PIext/userfitfunex.c
151//| > crfitfil nom_fichier nom_fonction nvar npar
152//| pour creer un squelette de fichier C contenant la fonction a fitter
153//| nom_fichier : nom du fichier ou est le code de la fonction
154//| c'est un fichier C de nom blabla.c
155//| nom_fonction : nom de la fonction ex: gauss2
156//| nvar : nombre de variables x[] (1D=1, 2D=2, etc...)
157//| npar : nombre de parametre p[]
158//| - La fonction est donc F(x[];p[]), soit par ex:
159//| double gauss2(double const* x,double const* p)
160//| - L'utilisateur a la possibilite de donner egalement la fonction
161//| retournant les derivees de la fonction par rapport aux parametres
162//| double gauss2_der(double const* x,double const* p,double* dp)
163//| ou dp[i] = dF(x[];p[])/dp[i]
164//| Par convention, cette fonction a le meme nom suivi de ''_der''
165//| > crfitfun nom_fichier nom_fonction nvar npar
166//| Permet de compiler le fichier ''nom_fichier'' et de linker
167//| la fonction ''nom_fonction''
168//| - Un meme fichier peut contenir plusieurs fonctions a fitter
169//|
170////////////////////////////////////////////////////////////////////////
171
172/* --Methode-- */
173PIAFitter::PIAFitter(PIACmd *piac, PIStdImgApp* app)
174: mApp(app), FWindFit(NULL)
175, mNObj(""), mObj(NULL), mGData(NULL)
176, mNPar(0), mNVar(0), mNBinX(0), mNBinY(0), mNData(0)
177, mPar(1), mStep(1), mMin(1), mMax(1), mFix(1)
178, mParSave(1), mStepSave(1), mMinSave(1), mMaxSave(1), mFixSave(1)
179, mFit(NULL)
180, mV(NULL), mH(NULL), mM(NULL), mH2(NULL), mIm(NULL), mG(NULL)
181, mFunction(NULL), mFName(""), mFunc(NULL)
182, mDlUFunc(NULL), mNameFitFunc(""), mFitFunc(NULL), mFitFuncDer(NULL)
183, mUFNVar(0), mUFNPar(0)
184{
185// Init et Set des options
186mPar=0.; mStep=1.; mMin=1.; mMax=-1.; mFix=0.;
187mParSave=0.; mStepSave=1.; mMinSave=1.; mMaxSave=-1.; mFixSave=0.;
188ResetOptions();
189mOptSave = mOpt;
190
191// enregistrement des ordres de fit
192string kw, usage, grp = "Fitting";
193
194kw = "helpfit";
195usage="";
196usage+="\n////////////////////////////////////////////////////////////////////// ";
197usage+="\n| --------------- Fit Lineaire a 1 et 2 dimensions --------------- ";
198usage+="\n| Syntaxe: ";
199usage+="\n| fitlin nom pnn [o:.aa,bb,cc, o;dd,ee,ff o:gg,hh,jj,kk etc...] ";
200usage+="\n| avec: ";
201usage+="\n| nom : cf commentaire ordre ''fit'' ";
202usage+="\n| pnn : fit polynome degre nn avec classe Poly (lineaire) 1D ou 2D ";
203usage+="\n| o:aa,...,bb : cf commentaires ordre ''fit'' ";
204usage+="\n| ";
205usage+="\n////////////////////////////////////////////////////////////////////// ";
206usage+="\n| --------------- Fit d'objets a 1 et 2 dimensions --------------- ";
207usage+="\n| avec interface d'aide graphique ";
208usage+="\n| Syntaxe: ";
209usage+="\n| fitw nom func ";
210usage+="\n| [p:p1,p2,...,pn s:s1,s2,...,sn m:m1,m2,...,mn M:M1,mM2,...,Mn f:f1,...,fn] ";
211usage+="\n| [o:.aa,bb,cc, o;dd,ee,ff o:gg,hh,jj,kk etc...] ";
212usage+="\n| cf commentaire ordre ''fit'' ";
213usage+="\n| ";
214usage+="\n////////////////////////////////////////////////////////////////////// ";
215usage+="\n| --------------- Fit d'objets a 1 et 2 dimensions --------------- ";
216usage+="\n| Syntaxe: ";
217usage+="\n| fit nom func ";
218usage+="\n| [p:p1,p2,...,pn s:s1,s2,...,sn m:m1,m2,...,mn M:M1,mM2,...,Mn f:f1,...,fn] ";
219usage+="\n| [o:.aa,bb,cc, o;dd,ee,ff o:gg,hh,jj,kk etc...] ";
220usage+="\n|----- OBJET ----- ";
221usage+="\n| nom : nom de l'objet qui peut etre: ";
222usage+="\n| fit-1D: Vector,Histo1D,HProf ou GeneraFitData(1D) ";
223usage+="\n| fit-2D: Matrix,Histo2D,Image<T> ou GeneraFitData(2D) ";
224usage+="\n| ";
225usage+="\n|----- FUNCTION ----- ";
226usage+="\n| func : pnn : fit polynome degre nn avec GeneralFit (non-lineaire) 1D ou 2D ";
227usage+="\n| : gnn : fit gaussienne (hauteur) + polynome de degre nn 1D ";
228usage+="\n| : g : fit gaussienne (hauteur) 1D ";
229usage+="\n| : enn : fit exponentielle + polynome de degre nn 1D ";
230usage+="\n| : e : fit exponentielle 1D ";
231usage+="\n| : Gnn : fit gaussienne (volume) + polynome de degre nn 1D ";
232usage+="\n| : G : fit gaussienne (volume) 1D ";
233usage+="\n| : : fit gaussienne+fond (volume) 2D ";
234usage+="\n| : Gi : fit gaussienne+fond integree (volume) 2D ";
235usage+="\n| : d : fit DL de gaussienne+fond (volume) 2D ";
236usage+="\n| : di : fit DL de gaussienne+fond integree (volume) 2D ";
237usage+="\n| : D : fit DL de gaussienne+fond avec coeff variable p6 (volume) 2D ";
238usage+="\n| : Di : fit DL de gaussienne+fond integree avec coeff variable p6 (volume) 2D ";
239usage+="\n| : M : fit Moffat+fond (expos=p6) (volume) 2D ";
240usage+="\n| : Mi : fit Moffat+fond integree (expos=p6) (volume) 2D ";
241usage+="\n| : Autre : fonction definie par l'utilisateur (cf commentaires ci apres) ";
242usage+="\n| ";
243usage+="\n|----- INIT PARAMETRES ET ETAT DU FIT ----- ";
244usage+="\n| p : p1,...,pn : valeur d'initialisation des parametres (def=0) ";
245usage+="\n| s : s1,...,sn : valeur des steps de depart (def=1) ";
246usage+="\n| m : m1,...,mn : valeur des minima (def=1) ";
247usage+="\n| M : M1,...,Mn : valeur des maxima (def=-1) (max<=min : pas de limite) ";
248usage+="\n| f : f1,...,fn : si >=1 parametre fixe sinon libre (def=0) ";
249usage+="\n| - Remarque: si pi,si,mi ou Mi = '!' la valeur correspondante n'est pas changee ";
250usage+="\n| ";
251usage+="\n|----- OPTIONS ----- ";
252usage+="\n| o : options ''o:Eaa.b,eaa.b,f,r,caa.b,Xaa.b'' ";
253usage+="\n| F : initialisation a partir des resultats et de l'etat du fit precedent ";
254usage+="\n| (option non prioritaire sur les definitions p:,s:,m:,M:,f:o:) ";
255usage+="\n| a : initialisation automatique des parametres du fit (si disponible) ";
256usage+="\n| (option non prioritaire sur les definitions p:,s:,m:,M:,f:o: ";
257usage+="\n| et sur l'initialisation pa l'option ''F'') ";
258usage+="\n| f : generation d'un Objet identique contenant la fonction fittee ";
259usage+="\n| r : generation d'un Objet identique contenant les residus ";
260usage+="\n| Xaa.b : aa.b valeur du DXi2 d'arret (def=1.e-3) ";
261usage+="\n| Naa : aa nombre maximum d'iterations (def=100) ";
262usage+="\n| la : niveau ''a'' de print: a=niveau de print Fit1/2D ";
263usage+="\n| da : niveau ''a'' de debug: a=niveau de GeneralFit ";
264usage+="\n| Ii1/i2 : numeros des bins X de l'histos utilises pour le fit [i1,i2] ";
265usage+="\n|2D Jj1/j2 : numeros des bins Y de l'histos utilises pour le fit [j1,j2] ";
266usage+="\n| - L'erreur est celle associee a l'objet (si elle existe), ";
267usage+="\n| elle est mise a 1 sinon, sauf si E... ou e... est precise: ";
268usage+="\n| Eaa.b : si |val|>=1 erreur = aa.b*sqrt(|val|) ";
269usage+="\n| si |val|<1 erreur = aa.b ";
270usage+="\n| si aa.b <=0 alors aa.b=1.0 ";
271usage+="\n| E seul est equivalent a E1.0 ";
272usage+="\n| eaa.b : erreur = aa.b ";
273usage+="\n| si aa.b <=0 alors aa.b=1.0 ";
274usage+="\n| e seul est equivalent a e1.0 ";
275usage+="\n| xaa.b : demande de centrage: on fit x-aa.b au lieu de x) ";
276usage+="\n| x : demande de centrage: on fit x-xc au lieu de x ";
277usage+="\n| avec xc=abscisse du milieu de l'histogramme ";
278usage+="\n| Actif pour exp+poly 1D, poly 1D ";
279usage+="\n| Pour gauss+poly 1D, xc est le centre de la gaussienne. ";
280usage+="\n|2D yaa.b et y : idem ''xaa.b et x'' mais pour y ";
281usage+="\n| ";
282usage+="\n////////////////////////////////////////////////////////////////////// ";
283usage+="\n| --------------- Def des fcts de fit par l'utilisateur --------------- ";
284usage+="\n| Pour definir une fonction parametree utilisateur: ";
285usage+="\n| Un exemple de fichier contenant des fonctions a fitter: PIext/userfitfunex.c ";
286usage+="\n| > crfitfil nom_fichier nom_fonction nvar npar ";
287usage+="\n| pour creer un squelette de fichier C contenant la fonction a fitter ";
288usage+="\n| nom_fichier : nom du fichier ou est le code de la fonction ";
289usage+="\n| c'est un fichier C de nom blabla.c ";
290usage+="\n| nom_fonction : nom de la fonction ex: gauss2 ";
291usage+="\n| nvar : nombre de variables x[] (1D=1, 2D=2, etc...) ";
292usage+="\n| npar : nombre de parametre p[] ";
293usage+="\n| - La fonction est donc F(x[];p[]), soit par ex: ";
294usage+="\n| double gauss2(double const* x,double const* p) ";
295usage+="\n| - L'utilisateur a la possibilite de donner egalement la fonction ";
296usage+="\n| retournant les derivees de la fonction par rapport aux parametres ";
297usage+="\n| double gauss2_der(double const* x,double const* p,double* dp) ";
298usage+="\n| ou dp[i] = dF(x[];p[])/dp[i] ";
299usage+="\n| Par convention, cette fonction a le meme nom suivi de ''_der'' ";
300usage+="\n| > crfitfun nom_fichier nom_fonction nvar npar ";
301usage+="\n| Permet de compiler le fichier ''nom_fichier'' et de linker ";
302usage+="\n| la fonction ''nom_fonction'' ";
303usage+="\n| - Un meme fichier peut contenir plusieurs fonctions a fitter ";
304usage+="\n| ";
305usage+="\n////////////////////////////////////////////////////////////////////// ";
306piac->RegisterHelp(kw,usage,grp);
307
308kw = "fit";
309usage = "Fitting function to DataObjects (Histo, Histo2D, Vector, ...)";
310usage += "\n Usage: fit nomobj func [Options]";
311usage += "\n [p:p1,...,pn s:s1,...,sn m:m1,...,mn M:M1,...,Mn o:... o:...]";
312usage += "\n Related commands: fitw fitlin crfitfun crfitfil";
313piac->RegisterCommand(kw,usage,this,grp);
314
315kw = "fitw";
316usage = "Fitting function to DataObjects with Interactive Window Help";
317usage += "\n Usage: fitw nomobj func [Options]";
318usage += "\n [p:p1,...,pn s:s1,...,sn m:m1,...,mn M:M1,...,Mn o:... o:...]";
319usage += "\n Related commands: fit fitlin crfitfun crfitfil";
320piac->RegisterCommand(kw,usage,this,grp);
321
322kw = "fitlin";
323usage = "Linear Fitting of Polynoms to DataObjects";
324usage += "\n Usage: fitlin nomobj func [o:... o:...]";
325usage += "\n Related commands: fit fitw crfitfun crfitfil";
326piac->RegisterCommand(kw,usage,this,grp);
327
328kw = "crfitfun";
329usage = "Creation et link de function utilisateur pour le fit";
330usage += "\n Usage: crfitfun file func nvar npar";
331usage += "\n Related commands: fit fitw fitlin crfitfil";
332piac->RegisterCommand(kw,usage,this,grp);
333
334kw = "crfitfil";
335usage = "Creation de fichier C pour function utilisateur du fit";
336usage += "\n Usage: crfitfil file func nvar npar";
337usage += "\n Related commands: fit fitw fitlin crfitfun";
338piac->RegisterCommand(kw,usage,this,grp);
339}
340
341/* --Methode-- */
342PIAFitter::~PIAFitter()
343{
344if(mFit != NULL) {delete mFit; mFit=NULL;}
345if(mFunction != NULL) {delete mFunction; mFunction=NULL;}
346if(mFunc != NULL) {delete mFunc; mFunc=NULL;}
347if(mGData != NULL) {delete mGData; mGData=NULL;}
348if(FWindFit != NULL) {delete FWindFit; FWindFit=NULL;}
349if (mDlUFunc != NULL) {delete mDlUFunc; mDlUFunc=NULL;}
350}
351
352/* --Methode-- */
353void PIAFitter::ResetDPointer(void)
354// Reset des pointeurs sur les donnees
355{
356mNObj = ""; mObj=NULL;
357mV=NULL; mH=NULL; mM=NULL; mH2=NULL; mIm=NULL; mG=NULL;
358}
359
360/* --Methode-- */
361void PIAFitter::ResetOptions(void)
362// Reset des options
363{
364mOpt.okres = mOpt.okfun = false;
365mOpt.polcx = mOpt.polcy = 0;
366mOpt.xc = mOpt.yc = 0.;
367mOpt.stc2 = 1.e-3;
368mOpt.nstep = 100;
369mOpt.err_e = mOpt.err_E = -1.;
370mOpt.lp = 1; mOpt.lpg = 0;
371mOpt.i1 = mOpt.j1 = mOpt.i2 = mOpt.j2 = -1;
372mOpt.fromlastfit = false;
373mOpt.autoinifit = false;
374}
375
376/* --Methode-- */
377void PIAFitter::DecodeOptions(string opt)
378// Decodage des options a partir des chaines de caracteres
379{
380ResetOptions();
381if(opt.length()<=0) return;
382
383size_t p,q; string dum;
384opt = "," + opt + ",";
385
386if(strstr(opt.c_str(),",F,")) // init options/param a partir du fit precedent
387 {mOpt = mOptSave; mOpt.fromlastfit = true;}
388if(strstr(opt.c_str(),",a,")) mOpt.autoinifit = true; // init auto par fit
389if(strstr(opt.c_str(),",r,")) mOpt.okres = true; // residus
390if(strstr(opt.c_str(),",f,")) mOpt.okfun = true; // fonction fittee
391if(strstr(opt.c_str(),",x")) { // Demande de centrage (fit X=x-xc)
392 mOpt.polcx = 2; // Le centrage est calcule automatiquement
393 p = opt.find(",x"); q = opt.find_first_of(',',p+1);
394 dum = opt.substr(p,q-p);
395 if(dum.length()>2) {
396 sscanf(dum.c_str(),",x%lf",&mOpt.xc);
397 mOpt.polcx = 1; // Le centrage est fixe par la valeur lue
398 }
399}
400if(strstr(opt.c_str(),",y")) { // Demande de centrage (fit Y=y-yc)
401 mOpt.polcy = 2; // Le centrage est calcule automatiquement
402 p = opt.find(",y"); q = opt.find_first_of(',',p+1);
403 dum = opt.substr(p,q-p);
404 if(dum.length()>2) {
405 sscanf(dum.c_str(),",y%lf",&mOpt.yc);
406 mOpt.polcy = 1; // Le centrage est fixe par la valeur lue
407 }
408}
409if(strstr(opt.c_str(),",E")) { // Erreurs imposees a "sqrt(val)" ou "aa.b*sqrt(val)"
410 p = opt.find(",E"); q = opt.find_first_of(',',p+1);
411 dum = opt.substr(p,q-p);
412 if(dum.length()>2) sscanf(dum.c_str(),",E%lf",&mOpt.err_E);
413 if(mOpt.err_E<=0.) mOpt.err_E = 1.; //mOpt.err_e=-1.;
414}
415if(strstr(opt.c_str(),",e")) { // Erreurs imposees a "1" ou "aa.b"
416 p = opt.find(",e"); q = opt.find_first_of(',',p+1);
417 dum = opt.substr(p,q-p);
418 if(dum.length()>2) sscanf(dum.c_str(),",e%lf",&mOpt.err_e);
419 if(mOpt.err_e<=0.) mOpt.err_e = 1.; //mOpt.err_E=-1.;
420}
421if(strstr(opt.c_str(),",X")) { // Valeur du StopChi2
422 p = opt.find(",X"); q = opt.find_first_of(',',p+1);
423 dum = opt.substr(p,q-p);
424 if(dum.length()>2) sscanf(dum.c_str(),",X%lf",&mOpt.stc2);
425}
426if(strstr(opt.c_str(),",N")) { // Nombre maximum d'iterations
427 p = opt.find(",N"); q = opt.find_first_of(',',p+1);
428 dum = opt.substr(p,q-p);
429 if(dum.length()>2) sscanf(dum.c_str(),",N%d",&mOpt.nstep);
430}
431if(strstr(opt.c_str(),",l")) { // niveau de print
432 p = opt.find(",l"); q = opt.find_first_of(',',p+1);
433 dum = opt.substr(p,q-p);
434 if(dum.length()>2) sscanf(dum.c_str(),",l%d",&mOpt.lp);
435}
436if(strstr(opt.c_str(),",d")) { // niveau de debug du fit
437 p = opt.find(",d"); q = opt.find_first_of(',',p+1);
438 dum = opt.substr(p,q-p);
439 if(dum.length()>2) sscanf(dum.c_str(),",d%d",&mOpt.lpg);
440}
441if(strstr(opt.c_str(),",I")) { // intervalle de fit selon X
442 p = opt.find(",I"); q = opt.find_first_of(',',p+1);
443 dum = opt.substr(p,q-p);
444 if(dum.length()>2) sscanf(dum.c_str(),",I%d/%d",&mOpt.i1,&mOpt.i2);
445}
446if(strstr(opt.c_str(),",J")) { // intervalle de fit selon Y
447 p = opt.find(",J"); q = opt.find_first_of(',',p+1);
448 dum = opt.substr(p,q-p);
449 if(dum.length()>2) sscanf(dum.c_str(),",J%d/%d",&mOpt.j1,&mOpt.j2);
450}
451
452return;
453}
454
455/* --Methode-- */
456void PIAFitter::DecodeObject(string obj)
457// Decodage de l'objet a fitter
458{
459NamedObjMgr omg;
460AnyDataObj* mobj = omg.GetObj(obj);
461if(mobj == NULL)
462 {cout<<"PIAFitter::DecodeObject Error , Pas d'objet de nom "<<obj<<endl;
463 return;}
464
465// Reset
466ResetDPointer();
467mNVar = mNBinX = mNBinY = mNData = 0;
468
469mObj = mobj; mNObj = obj;
470string ctyp = typeid(*mObj).name();
471
472// 1D
473if (typeid(*mObj) == typeid(Vector)) {
474 mNVar = 1;
475 mV = (Vector*) mObj; mNBinX = mV->NElts(); mNBinY = 1;
476 }
477else if ( (typeid(*mObj) == typeid(HProf)) || (typeid(*mObj) == typeid(Histo)) ) {
478 mNVar = 1;
479 mH = (Histo*) mObj; mNBinX = mH->NBins(); mNBinY = 1;
480 }
481// 2D
482else if (typeid(*mObj) == typeid(Matrix)) {
483 mNVar = 2;
484 mM = (Matrix*) mObj; mNBinX = mM->NCol(); mNBinY =mM->NRows();
485 }
486else if (typeid(*mObj) == typeid(Histo2D)) {
487 mNVar = 2;
488 mH2 = (Histo2D*) mObj; mNBinX = mH2->NBinX(); mNBinY = mH2->NBinY();
489 }
490else if (typeid(*mObj) == typeid(GeneralFitData)) {
491 mG = (GeneralFitData*) mObj; mNBinX = mG->NData(); mNBinY = 1;
492 if( mG->NVar()==1) mNVar = 1;
493 else if(mG->NVar()==2) mNVar = 2;
494 else
495 {cout<<"PIAFitter::DecodeObject Error: \n"
496 <<" GeneralFitData ne peut avoir que 1 ou 2 variables d'abscisse: "
497 <<((GeneralFitData*) mObj)->NVar()<<endl;
498 return;}
499 }
500else if (dynamic_cast<RzImage*>(mObj)) {
501 mNVar = 2;
502 mIm = (RzImage*) mObj; mNBinX = mIm->XSize(); mNBinY = mIm->YSize();
503 }
504else {
505 cout<<"PIAFitter::DecodeObject Error , Objet n'est pas un "
506 <<"Histo1D/HProf/Vector/Histo2D/Image/Matrix/GeneralFitData "<<ctyp<<endl;
507 return;
508 }
509
510mNData = mNBinX*mNBinY;
511if(mNData<=0) {
512 cout<<"L'objet a "<<mNBinX<<","<<mNBinY<<" bins ("<<mNData<<")"<<endl;
513 return;
514}
515
516return;
517}
518
519/* --Methode-- */
520void PIAFitter::CheckOptions(void)
521// Check consistence des choix des options
522// ATTENTION: cette methode a besoin que l'objet a fitter soit deja lu
523{
524if(mOpt.lp<0) mOpt.lp = 0;
525if(mOpt.lpg<0) mOpt.lpg = 0;
526mOpt.i1 = (mOpt.i1<0||mOpt.i1>=mNBinX)? 0: mOpt.i1;
527mOpt.i2 = (mOpt.i2<0||mOpt.i2>=mNBinX||mOpt.i2<=mOpt.i1)? mNBinX-1: mOpt.i2;
528if(mNVar>=2) {
529 mOpt.j1 = (mOpt.j1<0||mOpt.j1>=mNBinY)? 0: mOpt.j1;
530 mOpt.j2 = (mOpt.j2<0||mOpt.j2>=mNBinY||mOpt.j2<=mOpt.j1)? mNBinY-1: mOpt.j2;
531} else mOpt.j2 = mOpt.j1 = 0;
532if(mOpt.polcx==2) {
533 if(mV||mM) mOpt.xc = (mOpt.i2-mOpt.i1+1)/2.;
534 else if(mH) mOpt.xc = (mH->XMin()+mH->XMax())/2.;
535 else if(mH2) mOpt.xc = (mH2->XMin()+mH2->XMax())/2.;
536 else if(mG) {double mini,maxi; mG->GetMinMax(2,mini,maxi); mOpt.xc=(mini+maxi)/2.;}
537 else if(mIm) {mOpt.xc = mIm->XOrg() * mIm->XPxSize()*(mOpt.i2-mOpt.i1+1)/2.;}
538}
539if(mOpt.polcy==2 && mNVar>=2) {
540 if(mM) mOpt.yc = (mOpt.j2-mOpt.j1+1)/2.;
541 if(mH2) mOpt.yc = (mH2->YMin()+mH2->YMax())/2.;
542 if(mG) {double mini,maxi; mG->GetMinMax(12,mini,maxi); mOpt.yc=(mini+maxi)/2.;}
543 if(mIm) {mOpt.yc = mIm->YOrg() * mIm->YPxSize()*(mOpt.j2-mOpt.j1+1)/2.;}
544}
545if(mOpt.err_e>0.) mOpt.err_E=-1.;
546if(mOpt.err_E>0.) mOpt.err_e =-1.;
547if(mOpt.stc2<=0.) mOpt.stc2 = 1.e-3;
548if(mOpt.nstep<2) mOpt.nstep = 100;
549
550return;
551}
552
553/* --Methode-- */
554void PIAFitter::PrintOptions(void)
555// Print des options
556{
557cout<<"Fit["<<mNBinX<<","<<mNBinY<<"] ("<<mNData<<") dim="<<mNVar<<":"
558 <<" Int=["<<mOpt.i1<<","<<mOpt.i2<<"],["<<mOpt.j1<<","<<mOpt.j2<<"]"<<endl
559 <<" Cent="<<mOpt.polcx<<","<<mOpt.polcy<<","<<mOpt.xc<<"+x"<<","<<mOpt.yc<<"+y"
560 <<" TypE="<<mOpt.err_e<<","<<mOpt.err_E
561 <<" StpX2="<<mOpt.stc2<<" Nstep="<<mOpt.nstep<<endl
562 <<" Init.LFit="<<mOpt.fromlastfit<<" AutoIni.Fit="<<mOpt.autoinifit
563 <<" lp,lpg="<<mOpt.lp<<","<<mOpt.lpg<<endl;
564return;
565}
566
567/* --Methode-- */
568void PIAFitter::FillGData(void)
569// Fill generalfitdata pour le fit
570// ATTENTION: cette methode a besoin que les options soient decodees et checkees
571{
572if(mNData<=0) return;
573if(mGData!=NULL) {delete mGData; mGData=NULL;}
574mGData = new GeneralFitData(mNVar,mNData,0);
575
576for(int i=mOpt.i1;i<=mOpt.i2;i++) for(int j=mOpt.j1;j<=mOpt.j2;j++) {
577 double x,y=0.,f,e;
578
579 if(mV)
580 {x= (double) i; f=(*mV)(i); e=1.;}
581 else if(mH)
582 {x=mH->BinCenter(i); f=(*mH)(i); e=(mH->HasErrors())?mH->Error(i):1.;}
583 else if(mM)
584 {x=(double) i; y=(double) j; f=(*mM)(j,i); e=1.;}
585 else if(mH2)
586 {float xf,yf; mH2->BinCenter(i,j,xf,yf); x=(double)xf; y=(double)yf;
587 f=(*mH2)(i,j); e=(mH2->HasErrors())?mH2->Error(i,j):1.;}
588 else if(mIm)
589 {x=mIm->XOrg()+(i+0.5)*mIm->XPxSize(); y=mIm->YOrg()+(j+0.5)*mIm->YPxSize();
590 f=mIm->DValue(i,j); e=1.;}
591 else if(mG&&mNVar==1) {x= mG->X(i); f=mG->Val(i); e=mG->EVal(i);}
592 else if(mG&&mNVar==2) {x= mG->X(i); y=mG->Y(i); f=mG->Val(i); e=mG->EVal(i);}
593 else x=y=f=e=0.;
594
595 // Gestion des erreurs a utiliser
596 if(mOpt.err_e>0.) e=mOpt.err_e;
597 else if(mOpt.err_E>0.) {e=(f<-1.||f>1.)?mOpt.err_E*sqrt(fabs(f)):mOpt.err_E;}
598
599 // Remplissage de generalfitdata
600 if(mFName[0]=='p') {x -= mOpt.xc; if(mNVar>=2) y -= mOpt.yc;}
601 if(mNVar==1) mGData->AddData1(x,f,e);
602 else if(mNVar==2) mGData->AddData2(x,y,f,e);
603}
604
605if(mGData->NData()<=0) {
606 cout<<"Pas de donnees dans GeneralFitData: "<<mGData->NData()<<endl;
607 return;
608}
609
610if(mOpt.lpg>1) {
611 mGData->PrintStatus();
612 mGData->PrintData(0);
613 mGData->PrintData(mGData->NData()-1);
614}
615
616return;
617}
618
619/* --Methode-- */
620void PIAFitter::DecodeFunction(string func)
621// Fonction a fitter
622// ATTENTION: cette methode a besoin que les donnees soient lues
623{
624if(func.length()<=0)
625 {cout<<"PIAFitter::DecodeFunction Donnez un nom de fonction a fitter."<<endl;
626 return;}
627if(mFunction!=NULL) {delete mFunction; mFunction=NULL;}
628if(mFunc !=NULL) {delete mFunc; mFunc=NULL;}
629mNPar=0; mFName = "";
630
631if(func == mNameFitFunc) { // Fonction utilisateur
632 mFunc = new GeneralFunc(mUFNVar,mUFNPar,mFitFunc,mFitFuncDer);
633 mNPar = mUFNPar;
634 cout<<"Fonction utilisateur nvar="<<mUFNVar<<", npar="<<mNPar<<endl;
635} else if(func[0]=='p' && mNVar==1) { //polynome
636 int degre=0; if(func.length()>1) sscanf(func.c_str()+1,"%d",&degre);
637 cout<<"Fit polynome 1D de degre "<<degre<<endl;
638 Polyn1D* myf = new Polyn1D(degre,mOpt.xc);
639 mFunction = myf; mNPar = mFunction->NPar(); mFName = func;
640
641} else if(func[0]=='e' && mNVar==1) { //exponentielle
642 int degre=-1; if(func.length()>1) sscanf(func.c_str()+1,"%d",&degre);
643 cout<<"Fit d'exponentielle+polynome 1D de degre "<<degre<<endl;
644 Exp1DPol* myf;
645 if(degre>=0) myf = new Exp1DPol((unsigned int)degre,mOpt.xc);
646 else myf = new Exp1DPol(mOpt.xc);
647 mFunction = myf; mNPar = mFunction->NPar(); mFName = func;
648
649} else if(func[0]=='g' && mNVar==1) { //gaussienne en hauteur
650 int degre=-1; if(func.length()>1) sscanf(func.c_str()+1,"%d",&degre);
651 cout<<"Fit de Gaussienne_en_hauteur+polynome 1D de degre "<<degre<<endl;
652 Gauss1DPol* myf;
653 if(degre>=0) myf = new Gauss1DPol((unsigned int)degre,((mOpt.polcx)?true:false));
654 else { bool bfg = (mOpt.polcx)?true:false; myf = new Gauss1DPol(bfg); }
655 mFunction = myf; mNPar = mFunction->NPar(); mFName = func;
656
657} else if(func[0]=='G' && mNVar==1) { //gaussienne en volume
658 int degre=-1; if(func.length()>1) sscanf(func.c_str()+1,"%d",&degre);
659 cout<<"Fit de Gaussienne_en_volume+polynome 1D de degre "<<degre<<endl;
660 GaussN1DPol* myf;
661 if(degre>=0) myf = new GaussN1DPol((unsigned int)degre,((mOpt.polcx)?true:false));
662 else { bool bfg = (mOpt.polcx)?true:false; myf = new GaussN1DPol(bfg); }
663 mFunction = myf; mNPar = mFunction->NPar(); mFName = func;
664
665} else if(func[0]=='p' && mNVar==2) { //polynome 2D
666 int degre=0; if(func.length()>1) sscanf(func.c_str()+1,"%d",&degre);
667 cout<<"Fit polynome 2D de degre "<<degre<<endl;
668 Polyn2D* myf = new Polyn2D(degre,mOpt.xc,mOpt.yc);
669 mFunction = myf; mNPar = mFunction->NPar(); mFName = func;
670
671} else if(func[0]=='G' && mNVar==2) { //gaussienne+fond en volume
672 int integ=0; if(func.length()>1) if(func[1]=='i') integ=1;
673 cout<<"Fit de Gaussienne+Fond 2D integ="<<integ<<endl;
674 if(integ) {GauRhInt2D* myf = new GauRhInt2D; mFunction = myf;}
675 else {GauRho2D* myf = new GauRho2D; mFunction = myf;}
676 mNPar = mFunction->NPar(); mFName = func;
677
678} else if(func[0]=='d' && mNVar==2) { //DL gaussienne+fond en volume
679 int integ=0; if(func.length()>1) if(func[1]=='i') integ=1;
680 cout<<"Fit de DL de Gaussienne+Fond 2D integ="<<integ<<endl;
681 if(integ) {GdlRhInt2D* myf = new GdlRhInt2D; mFunction = myf;}
682 else {GdlRho2D* myf = new GdlRho2D; mFunction = myf;}
683 mNPar = mFunction->NPar(); mFName = func;
684
685} else if(func[0]=='D' && mNVar==2) { //DL gaussienne+fond avec coeff variable p6 en volume
686 int integ=0; if(func.length()>1) if(func[1]=='i') integ=1;
687 cout<<"Fit de DL de Gaussienne+Fond avec coeff variable (p6) 2D integ="<<integ<<endl;
688 if(integ) {Gdl1RhInt2D* myf = new Gdl1RhInt2D; mFunction = myf;}
689 else {Gdl1Rho2D* myf = new Gdl1Rho2D; mFunction = myf;}
690 mNPar = mFunction->NPar(); mFName = func;
691
692} else if(func[0]=='M' && mNVar==2) { //Moffat+fond (volume)
693 int integ=0; if(func.length()>1) if(func[1]=='i') integ=1;
694 cout<<"Fit de Moffat+Fond (expos=p6) 2D integ="<<integ<<endl;
695 if(integ) {MofRhInt2D* myf = new MofRhInt2D; mFunction = myf;}
696 else {MofRho2D* myf = new MofRho2D; mFunction = myf;}
697 mNPar = mFunction->NPar(); mFName = func;
698
699} else {
700 cout<<"Fonction "<<func<<" inconnue pour la dim "<<mNVar<<endl;
701 return;
702}
703
704return;
705}
706
707/* --Methode-- */
708void PIAFitter::ReSetParam(void)
709// Pour (re)dimensionner les tableaux des parametres
710// ATTENTION: cette methode a besoin que la fonction soit connue
711{
712if(mNPar==0) return;
713mPar.Realloc(mNPar); mPar=0.;
714mStep.Realloc(mNPar); mStep=1.;
715mMin.Realloc(mNPar); mMin=1.;
716mMax.Realloc(mNPar); mMax=-1.;
717mFix.Realloc(mNPar); mFix=0.;
718return;
719}
720
721/* --Methode-- */
722void PIAFitter::AutoIniFit(void)
723// Initialisation automatique des parametres du fit
724{
725if(mFunc) { // Fonction utilisateur
726 cout<<"PIAFitter::AutoIniFit : Fonction utilisateur, pas d'init auto"<<endl;
727} else if(mFName[0]=='p' && mNVar==1) { //poly 1D
728 cout<<"PIAFitter::AutoIniFit : Auto Init type polynome 1D"<<endl;
729 IniFitP1ou2D();
730
731} else if(mFName[0]=='g' && mNVar==1) { //gauss en haut 1D
732 cout<<"PIAFitter::AutoIniFit : Auto Init type gauss_haut+pol 1D"<<endl;
733 IniFitGhP1D();
734
735} else if(mFName[0]=='G' && mNVar==1) { //gauss en vol 1D
736 cout<<"PIAFitter::AutoIniFit : Auto Init type gauss_vol+pol 1D"<<endl;
737 IniFitGvP1D();
738
739} else if(mFName[0]=='p' && mNVar==2) { //poly 2D
740 cout<<"PIAFitter::AutoIniFit : Auto Init type polynome 2D"<<endl;
741 IniFitP1ou2D();
742
743} else if((mFName[0]=='G'||mFName[0]=='d') && mNVar==2) { //gauss+fond en vol
744 cout<<"PIAFitter::AutoIniFit : Auto Init type gauss_vol+fond 2D"<<endl;
745 IniFitGv2D();
746
747} else if(mFName[0]=='D' && mNVar==2) { //DLgauss+fond en vol 2D
748 cout<<"PIAFitter::AutoIniFit : Auto Init type DLgauss_vol+fond 2D"<<endl;
749 IniFitGv2D();
750 Vector dum(mNPar);
751 dum = mPar; mPar(6)=0.5; mPar(7)=dum(6);
752 dum = mStep; mStep(6)=0.05; mStep(7)=dum(6);
753 dum = mMin; mMin(6)=0.; mMin(7)=dum(6);
754 dum = mMax; mMax(6)=10.; mMax(7)=dum(6);
755 dum = mFix; mFix(6)=1.1; mFix(7)=dum(6);
756
757} else if(mFName[0]=='M' && mNVar==2) { //Moffat+fond en vol 2D
758 cout<<"PIAFitter::AutoIniFit : Auto Init type moffat_vol+fond 2D"<<endl;
759 IniFitGv2D();
760 Vector dum(mNPar);
761 dum = mPar; mPar(6)=2.5; mPar(7)=dum(6);
762 dum = mStep; mStep(6)=0.05; mStep(7)=dum(6);
763 dum = mMin; mMin(6)=1.2; mMin(7)=dum(6);
764 dum = mMax; mMax(6)=10.; mMax(7)=dum(6);
765 dum = mFix; mFix(6)=1.1; mFix(7)=dum(6);
766
767} else {
768 cout<<"PIAFitter::AutoIniFit : Fonction "<<mFName
769 <<", \n pas d'init auto en dim "<<mNVar<<endl;
770 return;
771}
772
773return;
774}
775
776/* --Methode-- */
777void PIAFitter::InitParFromLastFit(void)
778// Initialisation du fit a partir des resultats du fit precedent
779// (Les arguments de la ligne de commande sont prioritaires)
780// ATTENTION: cette methode a besoin que la fonction soit connue
781{
782if(mNPar==0) return;
783int n = mParSave.NElts();
784if(n==0) return;
785
786for(int i=0;i<mNPar;i++) {
787 if(i>=n) break;
788 mPar(i) = mParSave(i);
789 mStep(i) = mStepSave(i);
790 mMin(i) = mMinSave(i);
791 mMax(i) = mMaxSave(i);
792 mFix(i) = mFixSave(i);
793}
794
795return;
796}
797
798/* --Methode-- */
799void PIAFitter::DecodeParam(string par,string step,string min,string max,string fix)
800// Decodage des parametres
801// ATTENTION: cette methode a besoin que la fonction soit connue
802// et que les options soient decodees
803{
804if(mNPar==0) return;
805ReSetParam();
806if(mOpt.autoinifit) AutoIniFit();
807if(mOpt.fromlastfit) InitParFromLastFit();
808Vector* v=NULL; string* s=NULL;
809for(int j=0;j<5;j++) {
810 if(j==0) {v=&mPar; s=&par;} else if(j==1) {v=&mStep; s=&step;}
811 else if(j==2) {v=&mMin; s=&min;} else if(j==3) {v=&mMax; s=&max;}
812 else if(j==4) {v=&mFix; s=&fix;}
813 if(s->length()>0) *s += ",";
814 for(int i=0;i<mNPar;i++) {
815 if(s->length()<=0) break;
816 if((*s)[0]!='!') sscanf(s->c_str(),"%lf",&(*v)(i));
817 size_t p = s->find_first_of(',') + 1;
818 if(p>=s->length()) *s = ""; else *s = s->substr(p);
819 }
820}
821return;
822}
823
824/* --Methode-- */
825int PIAFitter::DoFit(void)
826// Fit avec generalfit
827{
828if(mNPar==0) return -1000;
829if((mFunction==NULL && mFunc==NULL) || mGData==NULL) {
830 cout<<"PIAFitter::DoFit error: mFunction,mFunc="<<mFunction<<","<<mFunc
831 <<" mGData="<<mGData<<endl;
832 return -1001;
833}
834// classe GeneraFit
835if(mFit != NULL) {delete mFit; mFit= NULL;}
836if(mFunction) mFit = new GeneralFit(mFunction);
837 else if(mFunc) mFit = new GeneralFit(mFunc);
838if(!mFit) return(-1002);
839
840// Options et Set de GeneralFit
841mFit->SetDebug(mOpt.lpg);
842mFit->SetData(mGData);
843mFit->SetStopChi2(mOpt.stc2);
844mFit->SetMaxStep(mOpt.nstep);
845{for(int i=0;i<mNPar;i++) {
846 char str[10];
847 sprintf(str,"P%d",i);
848 mFit->SetParam(i,str,mPar(i),mStep(i),mMin(i),mMax(i));
849 if((int)(mFix(i)+0.001)>=1.) mFit->SetFix(i);
850}}
851if(mOpt.lp>1) mFit->PrintFit();
852
853// Fit
854mParSave = mPar;
855mStepSave = mStep; mMinSave = mMin; mMaxSave = mMax; mFixSave = mFix;
856mOptSave = mOpt;
857double c2r = -1.;
858int rcfit = mFit->Fit();
859if(mOpt.lp>0) mFit->PrintFit();
860if(rcfit>0) {
861 c2r = mFit->GetChi2Red();
862 cout<<"C2r_Reduit = "<<c2r<<" nstep="<<mFit->GetNStep()<<" rc="<<rcfit<<endl;
863 for(int i=0;i<mNPar;i++) mParSave(i)=mFit->GetParm(i);
864} else {
865 cout<<"echec Fit, rc = "<<rcfit<<" nstep="<<mFit->GetNStep()<<endl;
866 mFit->PrintFitErr(rcfit);
867}
868
869return rcfit;
870}
871
872/* --Methode-- */
873void PIAFitter::FitFunRes(void)
874// Mise a disposition des resultats (fonction fitee et residus)
875{
876if(mFit && (mOpt.okres||mOpt.okfun)) {
877 NamedObjMgr omg;
878 string nomres = mNObj + "_res";
879 string nomfun = mNObj + "_fun";
880 if(mV) {
881 if(mOpt.okres) {Vector* ob = mV->FitResidus(*mFit); if(ob) omg.AddObj(ob,nomres);}
882 if(mOpt.okfun) {Vector* ob = mV->FitFunction(*mFit); if(ob) omg.AddObj(ob,nomfun);}
883 } else if(mH) {
884 if(mOpt.okres) {Histo* ob = mH->FitResidus(*mFit); if(ob) omg.AddObj(ob,nomres);}
885 if(mOpt.okfun) {Histo* ob = mH->FitFunction(*mFit); if(ob) omg.AddObj(ob,nomfun);}
886 } else if(mM) {
887 if(mOpt.okres) {Matrix* ob = mM->FitResidus(*mFit); if(ob) omg.AddObj(ob,nomres);}
888 if(mOpt.okfun) {Matrix* ob = mM->FitFunction(*mFit); if(ob) omg.AddObj(ob,nomfun);}
889 } else if(mH2) {
890 if(mOpt.okres)
891 {Histo2D* ob = mH2->FitResidus(*mFit); if(ob) omg.AddObj(ob,nomres);}
892 if(mOpt.okfun)
893 {Histo2D* ob = mH2->FitFunction(*mFit); if(ob) omg.AddObj(ob,nomfun);}
894 } else if(mIm) {
895 if(mOpt.okres) {
896 RzImage* ob = mIm->FitResidus(*mFit);
897 if(ob) {ImageR4* rob = new ImageR4(*ob); omg.AddObj(rob,nomres); delete ob;}
898 }
899 if(mOpt.okfun) {
900 RzImage* ob = mIm->FitFunction(*mFit);
901 if(ob) {ImageR4* rob = new ImageR4(*ob); omg.AddObj(rob,nomfun); delete ob;}
902 }
903 } else if(mG) {
904 if(mOpt.okres)
905 {GeneralFitData* ob = mG->FitResidus(*mFit); if(ob) omg.AddObj(ob,nomres);}
906 if(mOpt.okfun)
907 {GeneralFitData* ob = mG->FitFunction(*mFit); if(ob) omg.AddObj(ob,nomfun);}
908 }
909}
910return;
911}
912
913/* --Methode-- */
914void PIAFitter::LinFit(void)
915// Fit lineaire de polynomes
916{
917if(mFName.length()<=0)
918 {cout<<"PIAFitter::LinFit Donnez un nom de fonction a fitter."<<endl;
919 return;}
920if(!mGData)
921 {cout<<"PIAFitter::LinFit pas de Data."<<endl; return;}
922if(mFName[0]!='p')
923 {cout<<"PIAFitter::LinFit fonction non prevue "<<mFName<<endl;
924 return;}
925int degre = 0;
926if(mFName.length()>1) sscanf(mFName.c_str()+1,"%d",&degre);
927
928if(mNVar==1) { // Fit lineaire de polynome 1D
929 cout<<"Fit (lineaire) 1D polynome de degre "<<degre<<endl;
930 Poly p1(0);
931 double c2rl = mGData->PolFit(0,p1,degre);
932 cout<<"C2r_lineaire = "<<c2rl<<endl;
933 if(mOpt.lp>0) cout<<p1<<endl;
934} else if(mNVar==2) { // Fit lineaire de polynome 2D
935 cout<<"Fit (lineaire) polynome 2D de degre "<<degre<<endl;
936 Poly2 p2(0);
937 double c2rl = mGData->PolFit(0,1,p2,degre);
938 cout<<"C2r_lineaire = "<<c2rl<<endl;
939 if(mOpt.lp>0) cout<<p2<<endl;
940}
941
942return;
943}
944
945/* --Methode-- */
946void PIAFitter::LinkFitFunc(string const& fname, string const& funcname
947 ,int nvar,int npar)
948// Compilation et link dynamique de la fonction a fitter
949{
950if(nvar<1 || npar<1) return;
951if(mDlUFunc != NULL) {delete mDlUFunc; mDlUFunc=NULL;}
952mFitFunc = NULL; mFitFuncDer = NULL;
953mUFNVar= mUFNPar = 0; mNameFitFunc = "";
954
955// On compile le fichier C, on fabrique un .so et on l'ouvre
956mDlUFunc = PDynLinkMgr::BuildFromCFile(fname);
957if(mDlUFunc == NULL)
958 {cerr<<"PIAFitter::LinkFitFunc() Erreur building .so "<<endl; return;}
959
960// On recupere la fonction de fit
961mFitFunc = (DlUserFitFunc) mDlUFunc->GetFunction(funcname);
962if(mFitFunc == NULL) // Probleme, on n'a pas trouve etc ...
963 {cerr<<"PIAFitter::LinkFitFunc() Erreur linking function"<<funcname<<endl;
964 delete mDlUFunc; mDlUFunc = NULL; return;}
965
966// On recupere la fonction des derivees
967string fnameder = funcname+"_der";
968mFitFuncDer = (DlUserFitFuncDer) mDlUFunc->GetFunction(fnameder);
969if(mFitFuncDer == NULL)
970 {cout<<"PIAFitter::LinkFitFunc() No derive for"<<fnameder<<endl;}
971
972// Variables et pointeurs definissant le link a la fonction utilisateur
973mNameFitFunc = funcname;
974mUFNVar = nvar;
975mUFNPar = npar;
976cout<<"PIAFitter::LinkFitFunc() UserFitFunc="<<mNameFitFunc
977 <<" NVar="<<mUFNVar<<" NPar="<<mUFNPar<<endl;
978
979return;
980}
981
982/* --Methode-- */
983void PIAFitter::PrepareFitFuncCFile(string const& fname, string const& funcname
984 , int nvar, int npar)
985// Pour ecrire un squelette des fichier C avec pour une fonction a fitter
986{
987if(fname.length()<=0 || funcname.length()<=0 || nvar<=0 || npar <=0) {
988 cerr<<"PIAFitter::PrepareFitFuncCFile: error "
989 <<" nvar="<<nvar<<" npar="<<npar<<endl
990 <<" file_name="<<fname<<" func_name="<<funcname<<endl
991 <<" ---- No File Created ! ----"<<endl;
992 return;
993}
994
995FILE* fip = fopen(fname.c_str(),"w");
996if(fip==NULL)
997 {cerr<<"PIAFitter::PrepareFitFuncCFile: error opening file for writing\n"
998 <<fname<<endl; return;}
999
1000fprintf(fip,"#include <stdio.h>\n#include <stdlib.h>\n#include <math.h>\n\n");
1001fprintf(fip,"/* - many functions can be written in this file: */\n");
1002fprintf(fip,"/* here is an exemple for creation of function %s */\n\n"
1003 ,funcname.c_str());
1004fprintf(fip,"double %s(double const* x,double const* p)\n",funcname.c_str());
1005fprintf(fip,"/* Function : F(x[0-%d];p[0-%d]) */\n",nvar-1,npar-1);
1006fprintf(fip,"/* variables x1=x[0],x2=x[1],...,x%d=x[%d] */\n",nvar,nvar-1);
1007fprintf(fip,"/* parameters p1=p[0],p2=p[1],...,p%d=p[%d] */\n",nvar,nvar-1);
1008fprintf(fip,"{\n val = F(x[];p[]);\n return(val);\n}\n\n");
1009string fder = funcname + "_der";
1010fprintf(fip,"/* That function is optional */\n");
1011fprintf(fip,"/*\n");
1012fprintf(fip,"double %s(double const* x,double const* p,double* dp)\n",fder.c_str());
1013fprintf(fip,"{\n");
1014for(int i=0;i<npar;i++) fprintf(fip," dp[%d] = dF(x[];p[])/dp[%d]\n",i,i);
1015fprintf(fip," val = F(x[];p[]);\n return(val);\n}\n\n");
1016fprintf(fip,"*/\n");
1017
1018fclose(fip);
1019}
1020
1021/* --Methode-- */
1022int PIAFitter::Execute(string& kw, vector<string>& tokens)
1023// Execution des commandes de fit : "fit" et "fitw"
1024{
1025////// Les commandes pour creer les fonctions de fit utilisateur
1026if(kw == "crfitfil") {
1027 if (tokens.size() < 4)
1028 {cout<<"Usage:crfitfil filename funcname nvar npar"<<endl;return(-1);}
1029 int nvar = atoi(tokens[2].c_str()), npar = atoi(tokens[3].c_str());
1030 PrepareFitFuncCFile(tokens[0],tokens[1],nvar,npar);
1031 return(0);
1032} else if (kw == "crfitfun") {
1033 if (tokens.size() < 4)
1034 {cout<<"Usage:crfitfun filename funcname nvar npar"<<endl;return(-1);}
1035 int nvar = atoi(tokens[2].c_str()), npar = atoi(tokens[3].c_str());
1036 LinkFitFunc(tokens[0],tokens[1],nvar,npar);
1037 return(0);
1038}
1039
1040////// Les commandes pour fitter
1041if(tokens.size() < 2) {
1042 cout
1043 <<"Usage:fit nomobj func [Options]\n"
1044 <<" ou fitw nomobj func [Options]\n"
1045 <<" avec Options: [p:p1,...,pn s:s1,...,sn m:m1,...,mn \n"
1046 <<" M:M1,...,Mn f:f1,...,fn o:.,.,. o:.,.,.]\n"
1047 <<" ou fitlin nomobj func [o:.,.,. o:.,.,.]\n";
1048 return(-1);
1049}
1050
1051// decodage des arguments de la commande
1052string mSp,mSs,mSm,mSM,mSf,mSo;
1053mSp=""; mSs=""; mSm=""; mSM=""; mSf=""; mSo="";
1054if(tokens.size()>2)
1055 for(int ip=2;ip<(int)tokens.size();ip++) {
1056 if(tokens[ip].length()<=2) continue;
1057 const char *c = tokens[ip].c_str();
1058 if(c[1]!=':') continue;
1059 if(c[0]=='p') mSp=c+2;
1060 else if(c[0]=='s') mSs=c+2;
1061 else if(c[0]=='m') mSm=c+2;
1062 else if(c[0]=='M') mSM=c+2;
1063 else if(c[0]=='f') mSf=c+2;
1064 else if(c[0]=='o') {mSo += ","; mSo += c+2;}
1065 }
1066
1067// Execution des commandes
1068DecodeOptions(mSo);
1069DecodeObject(tokens[0]);
1070CheckOptions();
1071if(mOpt.lp>0) PrintOptions();
1072FillGData();
1073DecodeFunction(tokens[1]);
1074DecodeParam(mSp,mSs,mSm,mSM,mSf);
1075if (kw == "fit") {
1076 int rc = DoFit();
1077 if(rc>=0) FitFunRes();
1078} else if (kw == "fitlin") {
1079 LinFit();
1080} else if (kw == "fitw") {
1081 if(FWindFit!=NULL) {delete FWindFit; FWindFit=NULL;}
1082 FWindFit = new PIAFitterWind(mApp,this);
1083 FWindFit->Show();
1084}
1085
1086return(0);
1087}
1088
1089/* --Methode-- */
1090void PIAFitter::IniFitP1ou2D(void)
1091{
1092if(mNPar==0) return;
1093mPar=0.; mStep=1.; mMin=1.; mMax=-1.; mFix=0.;
1094if(!mGData) return;
1095double mean,sigma;
1096int rc = mGData->GetMeanSigma(0,mean,sigma);
1097if(rc<=0) return;
1098mPar(0) = mean;
1099return;
1100}
1101
1102void PIAFitter::IniFitGhP1D(void)
1103{
1104if(mNPar==0) return;
1105mPar=0.; mStep=1.; mMin=1.; mMax=-1.; mFix=0.;
1106if(mNVar!=1 || mNPar<3) return;
1107double h,v,x0,y0,sx,sy,f;
1108int rc = IniFitGaus(*mGData,h,v,x0,y0,sx,sy,f);
1109if(rc!=0) return;
1110mPar(0)=h; mStep(0)=h/1000.;
1111mPar(1)=x0; mStep(1)=sx/10.;
1112mPar(2)=sx; mStep(2)=sx/10.; mMin(2)=0.; mMax(2)=20.*sx;
1113if(mNPar>3) {mPar(3)=f; mStep(3)=f/1000.;} else mPar(0)=h+f;
1114}
1115
1116void PIAFitter::IniFitGvP1D(void)
1117{
1118if(mNPar==0) return;
1119mPar=0.; mStep=1.; mMin=1.; mMax=-1.; mFix=0.;
1120if(mNVar!=1 || mNPar<3) return;
1121double h,v,x0,y0,sx,sy,f;
1122int rc = IniFitGaus(*mGData,h,v,x0,y0,sx,sy,f);
1123if(rc!=0) return;
1124mPar(0)=v; mStep(0)=v/1000.;
1125mPar(1)=x0; mStep(1)=sx/10.;
1126mPar(2)=sx; mStep(2)=sx/10.; mMin(2)=0.; mMax(2)=20.*sx;
1127if(mNPar>3) {mPar(3)=f; mStep(3)=f/1000.;} else mPar(0)=v+mNData*f;
1128}
1129
1130void PIAFitter::IniFitGv2D(void)
1131{
1132if(mNPar==0) return;
1133mPar=0.; mStep=1.; mMin=1.; mMax=-1.; mFix=0.;
1134if(mNVar!=2 || mNPar<6) return;
1135double h,v,x0,y0,sx,sy,f;
1136int rc = IniFitGaus(*mGData,h,v,x0,y0,sx,sy,f);
1137if(rc!=0) return;
1138mPar(0)=v; mStep(0)=v/1000.;
1139mPar(1)=x0; mStep(1)=sx/10.;
1140mPar(2)=y0; mStep(2)=sy/10.;
1141mPar(3)=sx; mStep(3)=sx/10.; mMin(3)=0.; mMax(3)=20.*sx;
1142mPar(4)=sy; mStep(4)=sy/10.; mMin(4)=0.; mMax(4)=20.*sy;
1143mPar(5)=0.; mStep(5)=0.005; mMin(5)=-1.; mMax(5)=1.;
1144if(mNPar>6) {mPar(6)=f; mStep(6)=f/1000.;} else mPar(0)=v+mNData*f;
1145}
1146
1147int PIAFitter::IniFitGaus(GeneralFitData& g,double& h,double& v
1148 ,double& x0,double& y0,double& sx,double& sy,double& f)
1149// Pour initialiser une gaussienne 1D ou 2D
1150// return code =0 si OK
1151{
1152h=v=x0=y0=sx=sy=f=0.;
1153if(!&g) return(-1);
1154int nvar = g.NVar();
1155int ndata = g.NData();
1156if(nvar<1 || 2<nvar || ndata<=0) return(-2);
1157
1158// X et Y ordonnees croissant
1159double *X=NULL, *Y=NULL;
1160X = new double[ndata];
1161if(nvar==2) Y = new double[ndata];
1162{for(int i=0;i<ndata;i++) {X[i] = g.X(i); if(Y) Y[i] = g.Y(i);}}
1163qsort(X,(size_t) ndata,sizeof(double),qSort_Dble);
1164if(Y) qsort(Y,(size_t) ndata,sizeof(double),qSort_Dble);
1165
1166// determination des zones externes=[0,1/3] et [2/3,1]
1167// et des zones internes=[1/3,2/3]
1168int k1=ndata/3,k2=2*ndata/3;
1169double xmin,xmax, ymin=-1.,ymax=1.;
1170xmin = X[k1]; xmax = X[k2];
1171if(Y) {ymin = Y[k1]; ymax = Y[k2];}
1172
1173// recherche des parametres
1174double nb=0, nc=0;
1175{for(int i=0;i<ndata;i++) {
1176 double val,x,y=0.;
1177 x = g.X(i); if(Y) y = g.Y(i); val = g.Val(i);
1178 if(xmin<x && x<xmax && ymin<y && y<ymax) { // c'est le centre
1179 if(nc==0 || val>h) {h=val; x0=x; y0=y;}
1180 v += val; nc++;
1181 } else {f += val; nb++;} // c'est le bord
1182
1183}}
1184if(nb==0 || nc==0) {delete [] X; if(Y) delete [] Y; return(-3);}
1185
1186// Calcul des parametres
1187f /= (double) nb; h -= f; v -= f*nc;
1188sx = (xmax-xmin)/2.; if(Y) sy = (ymax-ymin)/2.;
1189
1190delete [] X; if(Y) delete [] Y;
1191return(0);
1192}
1193
1194
1195////////////////////////////////////////////////////////////////////
1196////---------- Classe de fenetre de fit interactive ------------////
1197////////////////////////////////////////////////////////////////////
1198
1199/* --Methode-- */
1200PIAFitterWind::PIAFitterWind(PIStdImgApp* par, PIAFitter* fiter)
1201: PIWindow((PIMsgHandler*)par, "PIAFitter", PIWK_normal, 240, 240, 150, 150)
1202, mDap(par), mFitter(fiter), ReFillGData(false)
1203, saveI1(0), saveI2(0), saveJ1(0), saveJ2(0), ErrValue(1.)
1204{
1205COMPATIBLE_ASSERT(mFitter);
1206int npar = mFitter->mNPar;
1207
1208// Alloc de la taille
1209nlab = 13+npar; lab = new PILabel*[nlab]; {for(int i=0;i<nlab;i++) lab[i]=NULL;}
1210ntxt = 10+4*npar; txt = new PIText*[ntxt]; {for(int i=0;i<ntxt;i++) txt[i]=NULL;}
1211nbut = 6; but = new PIButton*[nbut]; {for(int i=0;i<nbut;i++) but[i]=NULL;}
1212nckb = 2+npar; ckb = new PICheckBox*[nckb]; {for(int i=0;i<nckb;i++) ckb[i]=NULL;}
1213npom = 3; pom = new PIOptMenu*[npom]; {for(int i=0;i<npom;i++) pom[i]=NULL;}
1214
1215// On definit la taille a partir de la taille par defaut des composantes
1216// bsx,bsy = environ 6 lettres
1217int bsx,bsy;
1218par->PrefCompSz(bsx, bsy);
1219int spx = (bsx>=10) ? bsx/10 : 1; // intervalle entre lettres X
1220int spy = (bsy>=6) ? bsy/6 : 1; // intervalle entre lettres Y
1221
1222int wszx = (5*bsx+5*spx)+spx;
1223int wszy = 8*(bsy+spy)+npar*(bsy+spy)+2*spy;
1224SetSize(wszx, wszy);
1225int cpx,cpy;
1226
1227// new ligne
1228cpx = spx; cpy = spy;
1229string dum = "Object: "+mFitter->mNObj+" , Fun: ";
1230if(mFitter->mFunc) dum+=mFitter->mNameFitFunc; else dum+=mFitter->mFName;
1231lab[0] = new PILabel(this,dum.c_str(),4*bsx,bsy,cpx,cpy);
1232lab[0]->SetBinding(PIBK_elastic,PIBK_elastic, PIBK_elastic,PIBK_elastic);
1233
1234// new ligne
1235cpx = spx; cpy += bsy+spy;
1236but[0] = new PIButton(this,"Fr.Last",111,bsx,bsy,cpx,cpy);
1237but[0]->SetBinding(PIBK_elastic,PIBK_elastic, PIBK_elastic,PIBK_elastic);
1238cpx += bsx+spx;
1239but[1] = new PIButton(this,"Default",222,bsx,bsy,cpx,cpy);
1240but[1]->SetBinding(PIBK_elastic,PIBK_elastic, PIBK_elastic,PIBK_elastic);
1241cpx += bsx+spx;
1242ckb[0] = new PICheckBox(this,"Gen Fun",1001,bsx,bsy,cpx,cpy);
1243ckb[0]->SetBinding(PIBK_elastic,PIBK_elastic, PIBK_elastic,PIBK_elastic);
1244cpx += bsx+2*spx;
1245ckb[1] = new PICheckBox(this,"Res",1002,bsx,bsy,cpx,cpy);
1246ckb[1]->SetBinding(PIBK_elastic,PIBK_elastic, PIBK_elastic,PIBK_elastic);
1247
1248// new ligne
1249cpx = spx; cpy += bsy+spy;
1250pom[0] = new PIOptMenu(this,"Err def",1.5*bsx,bsy,cpx,cpy);
1251 pom[0]->AppendItem("Err def",2101);
1252 pom[0]->AppendItem("Err cste",2102);
1253 pom[0]->AppendItem("Err sqrt",2103);
1254 pom[0]->SetValue(2101);
1255pom[0]->SetBinding(PIBK_elastic,PIBK_elastic, PIBK_elastic,PIBK_elastic);
1256cpx += int(1.5*bsx+spx);
1257txt[0] = new PIText(this,"",bsx,bsy,cpx,cpy);
1258txt[0]->SetBinding(PIBK_elastic,PIBK_elastic, PIBK_elastic,PIBK_elastic);
1259cpx += bsx+spx;
1260lab[1] = new PILabel(this,"Prt,dbg",bsx,bsy,cpx,cpy);
1261lab[1]->SetBinding(PIBK_elastic,PIBK_elastic, PIBK_elastic,PIBK_elastic);
1262cpx += bsx+spx;
1263txt[1] = new PIText(this,"",bsx,bsy,cpx,cpy);
1264txt[1]->SetBinding(PIBK_elastic,PIBK_elastic, PIBK_elastic,PIBK_elastic);
1265
1266// new ligne
1267cpx = spx; cpy += bsy+spy;
1268lab[2] = new PILabel(this,"Stop Xi2",1.25*bsx,bsy,cpx,cpy);
1269lab[2]->SetBinding(PIBK_elastic,PIBK_elastic, PIBK_elastic,PIBK_elastic);
1270cpx += int(1.25*bsx+spx);
1271txt[2] = new PIText(this,"",bsx,bsy,cpx,cpy);
1272txt[2]->SetBinding(PIBK_elastic,PIBK_elastic, PIBK_elastic,PIBK_elastic);
1273cpx += bsx+spx;
1274lab[3] = new PILabel(this,"Iter",bsx, bsy, cpx, cpy);
1275lab[3]->SetBinding(PIBK_elastic,PIBK_elastic, PIBK_elastic,PIBK_elastic);
1276cpx += bsx+spx;
1277txt[3] = new PIText(this,"",bsx,bsy,cpx,cpy);
1278txt[3]->SetBinding(PIBK_elastic,PIBK_elastic, PIBK_elastic,PIBK_elastic);
1279
1280// new ligne
1281cpx = spx; cpy += bsy+spy;
1282lab[4] = new PILabel(this,"Range X",bsx,bsy,cpx,cpy);
1283lab[4]->SetBinding(PIBK_elastic,PIBK_elastic, PIBK_elastic,PIBK_elastic);
1284cpx += bsx+spx;
1285txt[4] = new PIText(this,"",0.75*bsx,bsy,cpx,cpy);
1286txt[4]->SetBinding(PIBK_elastic,PIBK_elastic, PIBK_elastic,PIBK_elastic);
1287cpx += int(0.75*bsx+spx);
1288txt[5] = new PIText(this,"",0.75*bsx,bsy,cpx,cpy);
1289txt[5]->SetBinding(PIBK_elastic,PIBK_elastic, PIBK_elastic,PIBK_elastic);
1290cpx += int(0.75*bsx+spx);
1291lab[5] = new PILabel(this,"Y",bsx/2,bsy,cpx,cpy);
1292lab[5]->SetBinding(PIBK_elastic,PIBK_elastic, PIBK_elastic,PIBK_elastic);
1293cpx += int(bsx/2.+spx);
1294txt[6] = new PIText(this,"",0.75*bsx,bsy,cpx,cpy);
1295txt[6]->SetBinding(PIBK_elastic,PIBK_elastic, PIBK_elastic,PIBK_elastic);
1296cpx += int(0.75*bsx+spx);
1297txt[7] = new PIText(this,"",0.75*bsx,bsy,cpx,cpy);
1298txt[7]->SetBinding(PIBK_elastic,PIBK_elastic, PIBK_elastic,PIBK_elastic);
1299
1300// new ligne
1301cpx = spx; cpy += bsy+spy;
1302lab[6] = new PILabel(this,"Cent",bsx/2,bsy,cpx,cpy);
1303lab[6]->SetBinding(PIBK_elastic,PIBK_elastic, PIBK_elastic,PIBK_elastic);
1304cpx += int(bsx/2.+spx);
1305pom[1] = new PIOptMenu(this,"X.No",1.25*bsx,bsy,cpx,cpy);
1306 pom[1]->AppendItem("X.No",2001);
1307 pom[1]->AppendItem("X.Value",2002);
1308 pom[1]->AppendItem("X.Auto",2003);
1309 pom[1]->SetValue(2001);
1310pom[1]->SetBinding(PIBK_elastic,PIBK_elastic, PIBK_elastic,PIBK_elastic);
1311cpx += int(1.25*bsx+spx);
1312txt[8] = new PIText(this,"",bsx,bsy,cpx,cpy);
1313txt[8]->SetBinding(PIBK_elastic,PIBK_elastic, PIBK_elastic,PIBK_elastic);
1314cpx += bsx+spx;
1315pom[2] = new PIOptMenu(this,"Y.No",1.25*bsx,bsy,cpx,cpy);
1316 pom[2]->AppendItem("Y.No",2011);
1317 pom[2]->AppendItem("Y.Value",2012);
1318 pom[2]->AppendItem("Y.Auto",2013);
1319 pom[2]->SetValue(2011);
1320pom[2]->SetBinding(PIBK_elastic,PIBK_elastic, PIBK_elastic,PIBK_elastic);
1321cpx += int(1.25*bsx+spx);
1322txt[9] = new PIText(this,"",bsx,bsy,cpx,cpy);
1323txt[9]->SetBinding(PIBK_elastic,PIBK_elastic, PIBK_elastic,PIBK_elastic);
1324
1325// new ligne
1326cpx = spx; cpy += bsy+spy;
1327but[2] = new PIButton(this, "Dismiss",777,bsx,bsy,cpx,cpy);
1328but[2]->SetBinding(PIBK_elastic,PIBK_elastic, PIBK_elastic,PIBK_elastic);
1329cpx += bsx+spx;
1330but[3] = new PIButton(this, "Check",666,bsx,bsy,cpx,cpy);
1331but[3]->SetBinding(PIBK_elastic,PIBK_elastic, PIBK_elastic,PIBK_elastic);
1332cpx += bsx+spx;
1333but[4] = new PIButton(this, "Fit",333,bsx,bsy,cpx,cpy);
1334but[4]->SetBinding(PIBK_elastic,PIBK_elastic, PIBK_elastic,PIBK_elastic);
1335cpx += bsx+spx;
1336but[5] = new PIButton(this, "Ini Auto",444,bsx,bsy,cpx,cpy);
1337but[5]->SetBinding(PIBK_elastic,PIBK_elastic, PIBK_elastic,PIBK_elastic);
1338
1339// new ligne
1340cpx = spx; cpy += bsy+spy;
1341lab[7] = new PILabel(this,"Par",bsx/2,bsy,cpx,cpy);
1342lab[7]->SetBinding(PIBK_elastic,PIBK_elastic, PIBK_elastic,PIBK_elastic);
1343cpx += int(bsx/2.+spx);
1344lab[8] = new PILabel(this,"Fx",bsx/3,bsy,cpx,cpy);
1345lab[8]->SetBinding(PIBK_elastic,PIBK_elastic, PIBK_elastic,PIBK_elastic);
1346cpx += int(bsx/3.+spx);
1347lab[9] = new PILabel(this,"Init",bsx,bsy,cpx,cpy);
1348lab[9]->SetBinding(PIBK_elastic,PIBK_elastic, PIBK_elastic,PIBK_elastic);
1349cpx += bsx+spx;
1350lab[10] = new PILabel(this,"Step",bsx,bsy,cpx,cpy);
1351lab[10]->SetBinding(PIBK_elastic,PIBK_elastic, PIBK_elastic,PIBK_elastic);
1352cpx += bsx+spx;
1353lab[11] = new PILabel(this,"Min",bsx,bsy,cpx,cpy);
1354lab[11]->SetBinding(PIBK_elastic,PIBK_elastic, PIBK_elastic,PIBK_elastic);
1355cpx += bsx+spx;
1356lab[12] = new PILabel(this,"Max",bsx,bsy,cpx,cpy);
1357lab[12]->SetBinding(PIBK_elastic,PIBK_elastic, PIBK_elastic,PIBK_elastic);
1358
1359// new lines: Parametres (npar lignes)
1360if(npar>0) {
1361 for(int i=0;i<npar;i++) {
1362 cpx = spx; cpy += bsy+spy;
1363 char str[8]; sprintf(str,"P%d",i);
1364 lab[13+i] = new PILabel(this,str,bsx/2,bsy,cpx,cpy);
1365 lab[13+i]->SetBinding(PIBK_elastic,PIBK_elastic, PIBK_elastic,PIBK_elastic);
1366 cpx += int(bsx/2.+spx);
1367 // Attention pas de message entre 1500 et 2000 (permet 500 parametres!)
1368 ckb[2+i] = new PICheckBox(this,"",1500+i,bsx/3,bsy,cpx,cpy+spy);
1369 ckb[2+i]->SetBinding(PIBK_elastic,PIBK_elastic, PIBK_elastic,PIBK_elastic);
1370 cpx+=int(bsx/3.+spx);
1371 for(int j=0;j<4;j++) {
1372 txt[10+4*i+j] = new PIText(this,"",bsx,bsy,cpx,cpy);
1373 txt[10+4*i+j]->SetBinding(PIBK_elastic,PIBK_elastic, PIBK_elastic,PIBK_elastic);
1374 cpx += bsx+spx;
1375 }
1376 }
1377}
1378
1379return;
1380}
1381
1382/* --Methode-- */
1383PIAFitterWind::~PIAFitterWind()
1384{
1385int i;
1386for(i=0;i<nlab;i++) if(lab[i]) {delete lab[i]; lab[i]=NULL;}
1387for(i=0;i<ntxt;i++) if(txt[i]) {delete txt[i]; txt[i]=NULL;}
1388for(i=0;i<nbut;i++) if(but[i]) {delete but[i]; but[i]=NULL;}
1389for(i=0;i<nckb;i++) if(ckb[i]) {delete ckb[i]; ckb[i]=NULL;}
1390for(i=0;i<npom;i++) if(pom[i]) {delete pom[i]; pom[i]=NULL;}
1391if(lab) {delete lab; lab=NULL; nlab=0;}
1392if(txt) {delete txt; txt=NULL; ntxt=0;}
1393if(but) {delete but; but=NULL; nbut=0;}
1394if(ckb) {delete ckb; ckb=NULL; nckb=0;}
1395if(pom) {delete pom; pom=NULL; npom=0;}
1396}
1397
1398/* --Methode-- */
1399void PIAFitterWind::Show()
1400{
1401//mDap->SetBlocked();
1402SetState();
1403PIWindow::Show();
1404return;
1405}
1406
1407/* --Methode-- */
1408void PIAFitterWind::SetState(void)
1409// Ecriture et positionnement des ckb et txt
1410{
1411int npar = mFitter->mNPar;
1412
1413// Les check-boxes
1414ckb[0]->SetState(mFitter->mOpt.okfun);
1415ckb[1]->SetState(mFitter->mOpt.okres);
1416if(npar>0)
1417 for(int i=0;i<npar;i++) ckb[2+i]->SetState((mFitter->mFix(i)>=1.)?true:false);
1418
1419// Les champs textes
1420char str[128]; string dum;
1421sprintf(str,"%f",ErrValue); dum=str; txt[0]->SetText(dum);
1422sprintf(str,"%d,%d",mFitter->mOpt.lp,mFitter->mOpt.lpg); dum=str; txt[1]->SetText(dum);
1423sprintf(str,"%f",mFitter->mOpt.stc2); dum=str; txt[2]->SetText(dum);
1424sprintf(str,"%d",mFitter->mOpt.nstep); dum=str; txt[3]->SetText(dum);
1425sprintf(str,"%d",mFitter->mOpt.i1); dum=str; txt[4]->SetText(dum);
1426sprintf(str,"%d",mFitter->mOpt.i2); dum=str; txt[5]->SetText(dum);
1427sprintf(str,"%d",mFitter->mOpt.j1); dum=str; txt[6]->SetText(dum);
1428sprintf(str,"%d",mFitter->mOpt.j2); dum=str; txt[7]->SetText(dum);
1429sprintf(str,"%f",mFitter->mOpt.xc); dum=str; txt[8]->SetText(dum);
1430sprintf(str,"%f",mFitter->mOpt.yc); dum=str; txt[9]->SetText(dum);
1431if(npar>0) {
1432 for(int i=0;i<npar;i++) {
1433 sprintf(str,"%f",mFitter->mPar(i)); dum=str; txt[10+4*i+0]->SetText(dum);
1434 sprintf(str,"%f",mFitter->mStep(i)); dum=str; txt[10+4*i+1]->SetText(dum);
1435 sprintf(str,"%f",mFitter->mMin(i)); dum=str; txt[10+4*i+2]->SetText(dum);
1436 sprintf(str,"%f",mFitter->mMax(i)); dum=str; txt[10+4*i+3]->SetText(dum);
1437 }
1438}
1439
1440return;
1441}
1442
1443/* --Methode-- */
1444void PIAFitterWind::Process(PIMessage msg, PIMsgHandler* sender, void* data)
1445{
1446int lp = (mFitter->mOpt.lp>2)?1:0;;
1447int npar = mFitter->mNPar;
1448
1449// Decodage des messages, init et dismiss
1450msg = UserMsg(msg);
1451if(msg ==777) {
1452 if(lp) cout<<"Dismiss"<<endl;
1453 //mDap->SetReady();
1454 Hide();
1455 return;
1456}
1457
1458// L'objet existe t-il encore?
1459NamedObjMgr omg;
1460if(omg.GetObj(mFitter->mNObj) == NULL) {
1461 cout<<"PIAFitterWind::Process Error , Pas d'objet de nom "
1462 <<mFitter->mNObj<<endl;
1463 mFitter->ResetDPointer(); return;
1464}
1465
1466// On recupere les champs textes
1467string dum; char str[128];
1468// Attention gestion du type d'erreur
1469dum=txt[0]->GetText(); strcpy(str,dum.c_str()); strip(str,'B',' ');
1470 sscanf(str,"%lf",&ErrValue); if(ErrValue<=0.) ErrValue=1.;
1471 if(mFitter->mOpt.err_e>0. ) mFitter->mOpt.err_e = ErrValue;
1472 if(mFitter->mOpt.err_E>0. ) mFitter->mOpt.err_E = ErrValue;
1473dum=txt[1]->GetText(); strcpy(str,dum.c_str()); strip(str,'B',' ');
1474 sscanf(str,"%d,%d",&(mFitter->mOpt.lp),&(mFitter->mOpt.lpg));
1475dum=txt[2]->GetText(); strcpy(str,dum.c_str()); strip(str,'B',' ');
1476 sscanf(str,"%lf",&(mFitter->mOpt.stc2));
1477dum=txt[3]->GetText(); strcpy(str,dum.c_str()); strip(str,'B',' ');
1478 sscanf(str,"%d",&(mFitter->mOpt.nstep));
1479// Attention si les valeurs de mOpt.i1/.i2/.j1/.j2 ont ete changees
1480dum=txt[4]->GetText(); strcpy(str,dum.c_str()); strip(str,'B',' ');
1481 sscanf(str,"%d",&(mFitter->mOpt.i1));
1482dum=txt[5]->GetText(); strcpy(str,dum.c_str()); strip(str,'B',' ');
1483 sscanf(str,"%d",&(mFitter->mOpt.i2));
1484dum=txt[6]->GetText(); strcpy(str,dum.c_str()); strip(str,'B',' ');
1485 sscanf(str,"%d",&(mFitter->mOpt.j1));
1486dum=txt[7]->GetText(); strcpy(str,dum.c_str()); strip(str,'B',' ');
1487 sscanf(str,"%d",&(mFitter->mOpt.j2));
1488 if(saveI1!=mFitter->mOpt.i1 || saveI2!=mFitter->mOpt.i2 ||
1489 saveJ1!=mFitter->mOpt.j1 || saveJ2!=mFitter->mOpt.j2 ) {
1490 if(lp)
1491 cout<<"Range changed: I("<<saveI1<<","<<saveI2
1492 <<") -> I("<<mFitter->mOpt.i1<<","<<mFitter->mOpt.i2
1493 <<") ou J("<<saveJ1<<","<<saveJ2
1494 <<") -> J("<<mFitter->mOpt.j1<<","<<mFitter->mOpt.j2
1495 <<")"<<endl;
1496 ReFillGData = true;
1497 saveI1=mFitter->mOpt.i1; saveI2=mFitter->mOpt.i2;
1498 saveJ1=mFitter->mOpt.j1; saveJ2=mFitter->mOpt.j2;
1499 }
1500dum=txt[8]->GetText(); strcpy(str,dum.c_str()); strip(str,'B',' ');
1501 sscanf(str,"%lf",&(mFitter->mOpt.xc));
1502dum=txt[9]->GetText(); strcpy(str,dum.c_str()); strip(str,'B',' ');
1503 sscanf(str,"%lf",&(mFitter->mOpt.yc));
1504
1505if(npar>0) {
1506 for(int i=0;i<npar;i++) {
1507 dum=txt[10+4*i+0]->GetText(); strcpy(str,dum.c_str()); strip(str,'B',' ');
1508 sscanf(str,"%lf",&(mFitter->mPar(i)));
1509 dum=txt[10+4*i+1]->GetText(); strcpy(str,dum.c_str()); strip(str,'B',' ');
1510 sscanf(str,"%lf",&(mFitter->mStep(i)));
1511 dum=txt[10+4*i+2]->GetText(); strcpy(str,dum.c_str()); strip(str,'B',' ');
1512 sscanf(str,"%lf",&(mFitter->mMin(i)));
1513 dum=txt[10+4*i+3]->GetText(); strcpy(str,dum.c_str()); strip(str,'B',' ');
1514 sscanf(str,"%lf",&(mFitter->mMax(i)));
1515 }
1516}
1517
1518// Decodage des messages, suite
1519if(msg ==666) {
1520 if(lp) cout<<"Check"<<endl;
1521 mFitter->CheckOptions();
1522 if(ReFillGData) mFitter->FillGData();
1523 ReFillGData = false;
1524 if(mFitter->mFit) mFitter->mFit->PrintStatus();
1525}
1526else if(msg ==111) {
1527 if(lp) cout<<"Update from last"<<endl;
1528 mFitter->ResetOptions();
1529 mFitter->mOpt = mFitter->mOptSave;
1530 mFitter->ReSetParam();
1531 mFitter->InitParFromLastFit();
1532 ReFillGData = true;
1533}
1534else if(msg ==222) {
1535 if(lp) cout<<"Default options/par"<<endl;
1536 mFitter->ResetOptions();
1537 mFitter->ReSetParam();
1538 ReFillGData = true;
1539}
1540else if(msg ==333) {
1541 if(lp) cout<<"Do the fit"<<endl;
1542 mFitter->CheckOptions();
1543 if(ReFillGData) mFitter->FillGData();
1544 ReFillGData = false;
1545 int rc = mFitter->DoFit();
1546 if(rc>=0) mFitter->FitFunRes();
1547}
1548else if(msg ==444) {
1549 if(lp) cout<<"Automatic initialisation"<<endl;
1550 mFitter->AutoIniFit();
1551}
1552else if(msg==1001) {
1553 if(ckb[0]->GetState()) {
1554 if(lp) cout<<"Gen fitted function"<<endl;
1555 mFitter->mOpt.okfun = true;
1556 } else if(!ckb[0]->GetState()) {
1557 if(lp) cout<<"No Gen fitted function"<<endl;
1558 mFitter->mOpt.okfun = false;
1559 }
1560}
1561else if(msg==1002) {
1562 if(ckb[1]->GetState()) {
1563 if(lp) cout<<"Gen fitted residus"<<endl;
1564 mFitter->mOpt.okres = true;
1565 } else if(!ckb[1]->GetState()) {
1566 if(lp) cout<<"No Gen fitted residus"<<endl;
1567 mFitter->mOpt.okres = false;
1568 }
1569}
1570else if(2101<=msg && msg<=2103) {
1571 mFitter->mOpt.err_e = mFitter->mOpt.err_E = -1.;
1572 if(msg==2102) mFitter->mOpt.err_e = ErrValue;
1573 else if(msg==2103) mFitter->mOpt.err_E = ErrValue;
1574 if(lp) cout<<"Err_cste="<<mFitter->mOpt.err_e
1575 <<" Err_sqrt="<<mFitter->mOpt.err_E
1576 <<" ErrValue="<<ErrValue<<endl;
1577 ReFillGData = true;
1578}
1579else if(2001<=msg && msg<=2003) {
1580 mFitter->mOpt.polcx = msg-2001;
1581 if(lp) cout<<"Centrage X polcx="<<mFitter->mOpt.polcx
1582 <<" xc="<<mFitter->mOpt.xc<<endl;
1583 ReFillGData = true;
1584}
1585else if(2011<=msg && msg<=2013) {
1586 mFitter->mOpt.polcy = msg-2011;
1587 if(lp) cout<<"Centrage Y polcy="<<mFitter->mOpt.polcy
1588 <<" yc="<<mFitter->mOpt.yc<<endl;
1589 ReFillGData = true;
1590}
1591else if(msg>=1500 && msg<2000) {
1592 int ip = msg-1500;
1593 if(ckb[2+ip]->GetState()) {
1594 if(lp) cout<<"Fix Param "<<ip<<endl;
1595 mFitter->mFix(ip) = 1.001;
1596 } else if(!ckb[2+ip]->GetState()) {
1597 if(lp) cout<<"Not Fix Param "<<ip<<endl;
1598 mFitter->mFix(ip) = 0.;
1599 }
1600}
1601
1602mFitter->CheckOptions();
1603SetState();
1604if(mFitter->mOpt.lp>1) mFitter->PrintOptions();
1605
1606return;
1607}
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