import wx
import wx.lib.hyperlink as hl
import wx.lib.agw.aui as aui
+import wx.lib.agw.labelbook as LB
+from wx.lib.agw.fmresources import *
from chemins import ConstructPathOut, ChdTxtPathOut, FFF, ffr, PathOut, StatTxtPathOut, simipath
from ConfigParser import ConfigParser
-from functions import ReadProfileAsDico, GetTxtProfile, read_list_file, ReadList, exec_rcode, print_liste, BugReport, DoConf, indices_simi, check_Rresult, progressbar
+from functions import ReadProfileAsDico, GetTxtProfile, read_list_file, ReadList, exec_rcode, print_liste, BugReport, DoConf, indices_simi, check_Rresult, progressbar, normpath_win32, TGen
from ProfList import ProfListctrlPanel
from guiparam3d import param3d, simi3d
from PrintRScript import write_afc_graph, print_simi3d, PrintSimiScript
else :
svg = 1
typegraph = dial.choicetype.GetSelection()
- typefile = '.png'
+ if svg :
+ typefile = '.svg'
+ else :
+ typefile = '.png'
if self.clnb <= 3 and typegraph == 1 :
typegraph = 2
if typegraph == 2:
self.RscriptsPath = self.ira.RscriptsPath
txt = """
load("%s")
- """ % self.DictPathOut['RData']
+ """ % ffr(self.DictPathOut['RData'])
if self.itempath == 'liste_graph_afcf' :
txt += """
afc <- afcf
DictProfile = ReadProfileAsDico(Profile, Alceste, self.encoding)
self.DictProfile = DictProfile
self.cluster_size = []
+ clusternames = {}
+ for i in range(0, clnb) :
+ clusternames[i] = ' '.join([u'%i' % (i + 1), _(u'Cluster').decode('utf8'), u'%i' % (i + 1)])
+ if os.path.exists(self.pathout['classes_names.txt']) :
+ with codecs.open(self.pathout['classes_names.txt'], 'r', self.parent.syscoding) as f :
+ clusternames_ = f.read()
+ clusternames_ = dict([[i, ' '.join([`i + 1`, line])] for i, line in enumerate(clusternames_.splitlines())])
+ clusternames.update(clusternames_)
#print 'lecture des antiprofils'
#DictAnti = ReadProfileAsDico(self, AntiProfile, Alceste, self.encoding)
#self.TabChdSim = wx.aui.AuiNotebook(self.parent.nb, -1, wx.DefaultPosition)
notebook_flags = aui.AUI_NB_DEFAULT_STYLE | aui.AUI_NB_TAB_EXTERNAL_MOVE | aui.AUI_NB_TAB_MOVE | aui.AUI_NB_TAB_FLOAT| wx.NO_BORDER
panel.TabChdSim = aui.AuiNotebook(panel, -1, wx.DefaultPosition)
+ #panel.TabChdSim = LB.LabelBook(panel, -1, agwStyle = INB_TOP|INB_SHOW_ONLY_TEXT|INB_FIT_LABELTEXT)
panel.TabChdSim.SetAGWWindowStyleFlag(notebook_flags)
panel.TabChdSim.SetArtProvider(aui.ChromeTabArt())
sizer1.Add(panel.TabChdSim,10, wx.EXPAND, 5)
panel.TabChdSim.AddPage(CHD,'CHD')
panel.ProfNB = aui.AuiNotebook(panel, -1, wx.DefaultPosition)
- panel.ProfNB.SetArtProvider(aui.ChromeTabArt())
+ notebook_flags |= aui.AUI_NB_WINDOWLIST_BUTTON
+ panel.ProfNB.SetAGWWindowStyleFlag(notebook_flags)
+ #panel.ProfNB.SetArtProvider(aui.ChromeTabArt())
+ #panel.ProfNB = LB.LabelBook(panel, -1, agwStyle = INB_LEFT|INB_SHOW_ONLY_TEXT|INB_FIT_LABELTEXT)
+ #panel.ProfNB = wx.Listbook(self.parent, -1, style = wx.BK_DEFAULT)
+ #panel.ProfNB = wx.Treebook(self.parent, -1, style = wx.BK_DEFAULT)
#self.ProfNB.SetTabCtrlHeight(100)
#panel.AntiProfNB = aui.AuiNotebook(panel, -1, wx.DefaultPosition)
if os.path.exists(DictPathOut['prof_seg']) :
if isinstance(self.corpus, Corpus) :
DictProfile[str(i + 1)][1:] = [val[0:5] + [getlemgram(self.corpus, val)] + val[6:] for val in DictProfile[str(i + 1)][1:]]
dlg.Update(3+i, 'Classe %i' %(i+1))
- ind = '/'.join(DictProfile[str(i + 1)][0][0:2])
- indpour = ' - '.join([ind, DictProfile[str(i + 1)][0][2]])
+ ind = '/'.join(DictProfile[str(i + 1)][0][0:2]).strip()
+ indpour = '\n'.join([ind, DictProfile[str(i + 1)][0][2]])
self.tabprofile = ProfListctrlPanel(self.parent, self.panel, DictProfile[str(i + 1)], Alceste, i + 1)
#self.tabantiprofile = ProfListctrlPanel(self.parent, self, DictAnti[str(i + 1)], Alceste, i + 1)
- panel.ProfNB.AddPage(self.tabprofile, _(u"Cluster").decode('utf8') + ' %s %s(%s%%)' % (str(i + 1), sep, indpour))
+ panel.ProfNB.AddPage(self.tabprofile, clusternames[i] + '\n%s%%' % indpour, True)
+ panel.ProfNB.SetPageTextColour(i, '#890909')
+ panel.ProfNB.SetRenamable(i, True)
#panel.AntiProfNB.AddPage(self.tabantiprofile, 'classe %s' % str(i + 1))
if os.path.exists(DictPathOut['prof_seg']) :
self.tab_prof_seg = ProfListctrlPanel(self.parent, self, prof_seg[str(i + 1)], False, i + 1)
self.prof_seg_nb.AddPage(self.tab_prof_seg, _(u"Cluster").decode('utf8') + ' %i' % (i + 1))
+ panel.ProfNB.SetSelection(0)
if clnb > 2 :
self.TabAFC = aui.AuiNotebook(panel.TabChdSim, -1, wx.DefaultPosition)
panel.TabChdSim.AddPage(self.prof_seg_nb, _(u"Repeated segments profiles").decode('utf8'))
# panel.Bind(wx.EVT_BUTTON, self.ongetrapport, id = self.ID_rapport)
+ if os.path.exists(os.path.join(self.parametres['pathout'], 'tgenchi2.csv')) :
+ self.parametres['tgenspec'] = os.path.join(self.parametres['pathout'], 'tgenchi2.csv')
+ TgenLayout(panel)
+ panel.TabChdSim.SetSelection(0)
self.parent.nb.AddPage(panel, _(u"Clustering").decode('utf8') + ' - %s' % corpname)
self.parent.ShowTab(True)
self.parent.nb.SetSelection(self.parent.nb.GetPageCount() - 1)
""" % datetime.datetime.now().ctime()
if istxt :
totocc = corpus.gettotocc()
- txt += u'nombre de textes: %i%s' % (corpus.getucinb(), sep)
- txt += u'nombre de segments de textes: %i%s' % (corpus.getucenb(), sep)
- txt += u'nombre de formes: %i%s' % (len(corpus.formes), sep)
- txt += u'nombre d\'occurrences: %i%s' % (totocc, sep)
- txt += u'moyenne d\'occurrences par forme: %f%s' % (float(totocc) / float(len(self.corpus.formes)), sep)
- txt += u'nombre de lemmes: %i%s' % (len(corpus.lems), sep)
- txt += u'nombre de formes actives: %i%s' % (corpus.getactivesnb(1), sep)
- txt += u'nombre de formes supplémentaires: %i%s' % (corpus.getactivesnb(2), sep)
- txt += u'nombre de formes actives de fréquence >= %i: %i%s' % (parametres['eff_min_forme'], parametres['nbactives'], sep)
- txt += u'moyenne d\'occurrences par segments :%f%s' % (float(totocc) / float(corpus.getucenb()), sep)
+ txt += ': '.join([_(u'Number of texts').decode('utf8'), u'%i%s' % (corpus.getucinb(), sep)])
+ txt += ': '.join([_(u'Number of text segments').decode('utf8'), '%i%s' % (corpus.getucenb(), sep)])
+ txt += ': '.join([_(u'Number of forms').decode('utf8'), '%i%s' % (len(corpus.formes), sep)])
+ txt += ': '.join([_(u'Number of occurrences').decode('utf8'), '%i%s' % (totocc, sep)])
+ #txt += u'moyenne d\'occurrences par forme: %f%s' % (float(totocc) / float(len(self.corpus.formes)), sep)
+ txt += ': '.join([_(u'Number of lemmas').decode('utf8'), '%i%s' % (len(corpus.lems), sep)])
+ txt += ': '.join([_(u'Number of active forms').decode('utf8'), '%i%s' % (corpus.getactivesnb(1), sep)])
+ txt += ': '.join([_(u'Number of supplementary forms').decode('utf8'), '%i%s' % (corpus.getactivesnb(2), sep)])
+ txt += ' >= '.join([_(u'Number of active forms with a frequency').decode('utf8'), '%i: %i%s' % (parametres['eff_min_forme'], parametres['nbactives'], sep)])
+ txt += ': '.join([_(u'Mean of forms by segment').decode('utf8'), '%f%s' % (float(totocc) / float(corpus.getucenb()), sep)])
if 'tailleuc1' in parametres :
if parametres['classif_mode'] == 0 :
- txt += u'taille rst1 / rst2: %i / %i - %i / %i%s' % (parametres['tailleuc1'], parametres['tailleuc2'], parametres['lenuc1'], parametres['lenuc2'], sep)
+ txt += ': '.join([_(u'Size of rst1 / rst2').decode('utf8'), '%i / %i - %i / %i%s' % (parametres['tailleuc1'], parametres['tailleuc2'], parametres['lenuc1'], parametres['lenuc2'], sep)])
else :
self.Ucenb = self.nbind
- txt += u'nombre d\'individus : %i%s' % (self.nbind, sep)
- txt += u'nombre de classes : %i%s' % (self.clnb, sep)
+ txt += ': '.join([_(u'Number of lines').decode('utf8'), '%i%s' % (self.nbind, sep)])
+ txt += ': '.join([_(u'Number of clusters').decode('utf8'), '%i%s' % (self.clnb, sep)])
if istxt :
- txt += u'nombre de classes : %i%s' % (parametres['clnb'], sep)
+ txt += ': '.join([_(u'Number of clusters').decode('utf8'), '%i%s' % (parametres['clnb'], sep)])
if parametres['classif_mode'] == 0 or parametres['classif_mode'] == 1 :
- txt += u'%i segments classés sur %i (%.2f%%)%s' % (sum([len(cl) for cl in corpus.lc]), corpus.getucenb(), (float(sum([len(cl) for cl in corpus.lc])) / float(corpus.getucenb())) * 100, sep)
+ txt += ' '.join(['%i' % sum([len(cl) for cl in corpus.lc]), _(u'segments classified on').decode('utf8'), '%i (%.2f%%)%s' % (corpus.getucenb(), (float(sum([len(cl) for cl in corpus.lc])) / float(corpus.getucenb())) * 100, sep)])
elif self.parametres['classif_mode'] == 2 :
- txt += u'%i textes classés sur %i (%.2f%%)%s' % (sum([len(cl) for cl in corpus.lc]), corpus.getucinb(), (float(sum([len(cl) for cl in corpus.lc]))) / float(corpus.getucinb()) * 100, sep)
+ txt += ' '.join([u'%i' % sum([len(cl) for cl in corpus.lc]), _(u'texts classified on').decode('utf8'), '%i (%.2f%%)%s' % (corpus.getucinb(), (float(sum([len(cl) for cl in corpus.lc]))) / float(corpus.getucinb()) * 100, sep)])
else :
- txt += u'%i segments classées sur %i (%.2f%%)%s' % (self.ucecla, self.Ucenb, (float(self.ucecla) / float(self.Ucenb)) * 100, sep)
+ txt += ' '.join(['%i' % self.ucecla, _(u'line classified on').decode('utf8'), '%i (%.2f%%)%s' % (self.Ucenb, (float(self.ucecla) / float(self.Ucenb)) * 100, sep)])
- txt += """
-###########################
-temps d'analyse : %s
-###########################
-""" % parametres.get('time', '')
+ txt += ''.join([sep, u'###########################', sep, _(u'time').decode('utf8'), ' : %s' % parametres.get('time', ''), sep, u'###########################', sep])
+
with open(self.pathout['pre_rapport'], 'w') as f :
f.write(txt)
self.page = page
parametres = self.page.parametres
ira = wx.GetApp().GetTopWindow()
+ tgenpath = os.path.join(parametres['pathout'], 'tgen.csv')
self.page.tgens, etoiles = ReadList(parametres['tgenspec'], ira.syscoding, sep="\t")
+ tgen = TGen(path = tgenpath, encoding = parametres['encoding'])
+ tgen.read()
tgentab = False
+ gparent = None
+ if 'TabChdSim' in dir(page) :
+ page = page.TabChdSim
for i in range(page.GetPageCount()) :
tab = page.GetPage(i)
+ if 'gparent' in dir(tab) :
+ if tab.gparent is not None :
+ gparent = tab.gparent
if 'tgen' in dir(tab) :
if tab.tgen :
tgentab = tab
break
+
if tgentab :
self.page.tgentab.RefreshData(self.page.tgens)
- self.page.SetSelection(i)
+ self.page.tgentab.tgens = tgen.tgen
+ page.SetSelection(i)
else :
- self.page.tgentab = ListForSpec(ira, None, self.page.tgens, etoiles[1:])
+ self.page.tgentab = ListForSpec(ira, gparent, self.page.tgens, etoiles[1:])
self.page.tgentab.tgen = True
- self.page.AddPage(self.page.tgentab, u'Tgens Specificities')
- self.page.SetSelection(self.page.GetPageCount() - 1)
+ self.page.tgentab.tgens = tgen.tgen
+ page.AddPage(self.page.tgentab, _(u'Tgens Specificities').decode('utf8'))
+ page.SetSelection(page.GetPageCount() - 1)
class dolexlayout :
def __init__(self, ira, corpus, parametres):
self.TabStat.parametres = parametres
self.ListPan = ListForSpec(ira, self, self.DictSpec, self.etoiles)
if os.path.exists(self.pathout['banalites.csv']) :
- self.listban = ListForSpec(ira, self, self.dictban, ['eff'] + self.etoiles)
+ self.listban = ListForSpec(ira, self, self.dictban, ['eff'] + self.etoiles, usefirst = True)
#self.ListPan2 = ListForSpec(sash.rightwin1, self, self.DictSpec, first)
self.ListPant = ListForSpec(ira, self, self.DictType, self.etoiles)
self.ListPanEff = ListForSpec(ira, self, self.DictEff, self.etoiles)
self.ListPanEffType = ListForSpec(ira, self, self.DictEffType, self.etoiles)
self.ListPanEffRelForme = ListForSpec(ira, self, self.DictEffRelForme, self.etoiles)
- self.ListPanEffRelType = ListForSpec(ira, self.parent, self.DictEffRelType, self.etoiles)
+ self.ListPanEffRelType = ListForSpec(ira, self, self.DictEffRelType, self.etoiles)
- self.TabStat.AddPage(self.ListPan, u'formes')
+ self.TabStat.AddPage(self.ListPan, _(u'Forms').decode('utf8'))
if os.path.exists(self.pathout['banalites.csv']) :
- self.TabStat.AddPage(self.listban, u'banalités')
- self.TabStat.AddPage(self.ListPant, u'Types')
- self.TabStat.AddPage(self.ListPanEff, u'Effectifs formes')
- self.TabStat.AddPage(self.ListPanEffType, u'Effectifs Type')
- self.TabStat.AddPage(self.ListPanEffRelForme, u'Effectifs relatifs formes')
- self.TabStat.AddPage(self.ListPanEffRelType, u'Effectifs relatifs Type')
+ self.TabStat.AddPage(self.listban, _(u'Banal forms').decode('utf8'))
+ self.TabStat.AddPage(self.ListPant, _(u'POS').decode('utf8'))
+ self.TabStat.AddPage(self.ListPanEff, _(u'Forms frequencies').decode('utf8'))
+ self.TabStat.AddPage(self.ListPanEffType, _(u'POS frequencies').decode('utf8'))
+ self.TabStat.AddPage(self.ListPanEffRelForme, _(u'Forms relative frequencies').decode('utf8'))
+ self.TabStat.AddPage(self.ListPanEffRelType, _(u'POS relative frequencies').decode('utf8'))
if self.parametres['clnb'] > 2 :
self.TabAFC = aui.AuiNotebook(self.TabStat, -1, wx.DefaultPosition)
list_graph=read_list_file(self.dictpathout['liste_graph_afcf'], encoding = self.encoding)
self.tabAFCGraph = GraphPanelAfc(self.TabAFC, self.dictpathout, list_graph, self.parametres['clnb'], itempath ='liste_graph_afcf', coding = self.encoding)
- self.TabAFC.AddPage(self.tabAFCGraph, 'AFC formes')
+ self.TabAFC.AddPage(self.tabAFCGraph, _(u'CA forms').decode('utf8'))
list_graph=read_list_file(self.dictpathout['liste_graph_afct'], encoding = self.encoding)
self.tabAFCTGraph = GraphPanelAfc(self.TabAFC, self.dictpathout, list_graph, self.parametres['clnb'], itempath ='liste_graph_afct', coding=self.encoding)
- self.TabAFC.AddPage(self.tabAFCTGraph, 'AFC type')
- self.TabStat.AddPage(self.TabAFC, 'AFC')
-
-
-
-
+ self.TabAFC.AddPage(self.tabAFCTGraph, _(u'CA POS').decode('utf8'))
+ self.TabStat.AddPage(self.TabAFC, _(u'CA').decode('utf8'))
- ira.nb.AddPage(self.TabStat, u'Spécificités')
+ ira.nb.AddPage(self.TabStat, ' - '.join([_(u'Specificities').decode('utf8'), self.parametres['name']]))
self.ira = ira
self.TabStat.corpus = self.corpus
#self.TabStatTot = wx.TextCtrl(self.TabStat, -1, style=wx.NO_BORDER | wx.TE_MULTILINE | wx.TE_RICH2)
list_graph = [['zipf.png', 'zipf']]
self.TabStatTot = GraphPanel(ira.nb, self.pathout, list_graph, self.result['glob'])
- self.TabStat.AddPage(self.TabStatTot, 'global')
+ self.TabStat.AddPage(self.TabStatTot, _(u'Abstract').decode('utf8'))
+
+ dictlabel = {'total' : _(u'Total').decode('utf8'),
+ u'formes_actives' : _(u'Actives forms').decode('utf8'),
+ u'formes_supplémentaires': _(u'Supplementary forms').decode('utf8'),
+ u'hapax' : _(u'Hapax').decode('utf8'),
+ }
+
for item in self.result:
if item != 'glob':
datam = [['forme', 'nb']]
self.ListPan = ListPanel(ira, self, self.result[item])
- self.TabStat.AddPage(self.ListPan, ' '.join(item.split('_')))
+ self.TabStat.AddPage(self.ListPan, dictlabel[item])
ira.nb.AddPage(self.TabStat, '%s' % parametres['name'])
ira.nb.SetSelection(ira.nb.GetPageCount() - 1)
ira.ShowAPane("Tab_content")
self.panel_1.SetBackgroundColour('white')
self.deb = wx.StaticText(self.panel_1, -1, txt)
dendro_img = wx.Image(os.path.join(self.ira.images_path,'but_dendro.png'), wx.BITMAP_TYPE_ANY).ConvertToBitmap()
+ dendro_liste_img = wx.Image(os.path.join(self.ira.images_path,'but_dendro_liste.png'), wx.BITMAP_TYPE_ANY).ConvertToBitmap()
+ dendro_cloud_img= wx.Image(os.path.join(self.ira.images_path,'but_dendro_cloud.png'), wx.BITMAP_TYPE_ANY).ConvertToBitmap()
self.butdendro = wx.BitmapButton(self, -1, dendro_img)
- self.butdendrotexte = wx.BitmapButton(self, -1, dendro_img)
- self.butdendrocloud = wx.BitmapButton(self, -1, dendro_img)
+ self.butdendrotexte = wx.BitmapButton(self, -1, dendro_liste_img)
+ self.butdendrocloud = wx.BitmapButton(self, -1, dendro_cloud_img)
for i in range(0,len(list_graph)):
if os.path.exists(os.path.join(self.dirout,list_graph[i][0])) :
- self.listimg.append(wx.StaticBitmap(self.panel_1, -1, wx.Bitmap(os.path.join(self.dirout,list_graph[i][0]), wx.BITMAP_TYPE_ANY)))
+ filename, ext = os.path.splitext(list_graph[i][0])
+ if ext == '.svg' :
+ self.listimg.append(hl.HyperLinkCtrl(self.panel_1, -1, os.path.join(self.dirout,list_graph[i][0]), URL=os.path.join(self.dirout,list_graph[i][0])))
+ else :
+ self.listimg.append(wx.StaticBitmap(self.panel_1, -1, wx.Bitmap(os.path.join(self.dirout,list_graph[i][0]), wx.BITMAP_TYPE_ANY)))
self.labels.append(wx.StaticText(self.panel_1, -1, list_graph[i][1]))
self.__set_properties()
'type_dendro': 0,
'color_nb': 0,
'taille_classe' : True,
- 'type_tclasse' : 0
+ 'type_tclasse' : 0,
+ 'svg' : 0
}
self.type_dendro = [ u"phylogram", u"cladogram", u"fan", u"unrooted", u"radial" ]
self.param['color_nb'] = dial.m_radioBox1.GetSelection()
self.param['taille_classe'] = dial.m_checkBox1.GetValue()
self.param['type_tclasse'] = dial.m_radioBox2.GetSelection()
+ self.param['svg'] = dial.choice_format.GetSelection()
def make_dendro(self, dendro = 'simple') :
- while os.path.exists(os.path.join(self.dirout, 'dendrogramme_' + str(self.graphnb)+'.png')) :
+ if self.param['svg'] :
+ typefile = '.svg'
+ else :
+ typefile = '.png'
+ while os.path.exists(os.path.join(self.dirout, 'dendrogramme_' + str(self.graphnb)+typefile)) :
self.graphnb += 1
- fileout = ffr(os.path.join(self.dirout,'dendrogramme_' + str(self.graphnb)+'.png'))
+ fileout = ffr(os.path.join(self.dirout,'dendrogramme_' + str(self.graphnb)+typefile))
width = self.param['width']
height = self.param['height']
type_dendro = self.type_dendro[self.param['type_dendro']]
histo='FALSE'
else :
histo = 'TRUE'
+ if self.param['svg'] :
+ svg = 'TRUE'
+ else :
+ svg = 'FALSE'
dendro_path = self.dictpathout['Rdendro']
classe_path = self.dictpathout['uce']
txt = """
txt += """
load("%s")
source("%s")
+ if (is.null(debsup)) {
+ debsup <- debet
+ }
chistable <- chistabletot[1:(debsup-1),]
- open_file_graph("%s", width=%i, height=%i)
+ open_file_graph("%s", width=%i, height=%i, svg = %s)
plot.dendro.prof(tree.cut1$tree.cl, classes, chistable, nbbycl = 60, type.dendro="%s", bw=%s, lab=NULL)
- """ % (ffr(self.dictpathout['RData.RData']), ffr(self.ira.RscriptsPath['Rgraph']), ffr(fileout), width, height, type_dendro, bw)
+ """ % (ffr(self.dictpathout['RData.RData']), ffr(self.ira.RscriptsPath['Rgraph']), ffr(fileout), width, height, svg, type_dendro, bw)
elif dendro == 'cloud' :
txt += """
load("%s")
source("%s")
+ if (is.null(debsup)) {
+ debsup <- debet
+ }
chistable <- chistabletot[1:(debsup-1),]
- open_file_graph("%s", width=%i, height=%i)
+ open_file_graph("%s", width=%i, height=%i, svg=%s)
plot.dendro.cloud(tree.cut1$tree.cl, classes, chistable, nbbycl = 300, type.dendro="%s", bw=%s, lab=NULL)
- """ % (ffr(self.dictpathout['RData.RData']), ffr(self.ira.RscriptsPath['Rgraph']), ffr(fileout), width, height, type_dendro, bw)
+ """ % (ffr(self.dictpathout['RData.RData']), ffr(self.ira.RscriptsPath['Rgraph']), ffr(fileout), width, height, svg, type_dendro, bw)
tmpfile = tempfile.mktemp()
with open(tmpfile, 'w') as f :
f.write(txt)
+ busy = wx.BusyInfo(_("Please wait...").decode('utf8'), self.parent)
+ wx.SafeYield()
error = exec_rcode(self.ira.RPath, tmpfile, wait=True)
+ del busy
check_Rresult(self.ira, error)
self.list_graph.append([fileout, 'Dendrogramme CHD1 - %s' % type_dendro])
print_liste(self.dictpathout['liste_graph_chd'], self.list_graph)
- self.sizer_3.Add(wx.StaticBitmap(self.panel_1, -1, wx.Bitmap(fileout, wx.BITMAP_TYPE_ANY)), 0, wx.ALIGN_CENTER_HORIZONTAL, 0)
+ if self.param['svg'] :
+ self.sizer_3.Add(hl.HyperLinkCtrl(self.panel_1, -1, fileout, URL=fileout), 0, wx.ALIGN_CENTER_HORIZONTAL, 0)
+ else :
+ self.sizer_3.Add(wx.StaticBitmap(self.panel_1, -1, wx.Bitmap(fileout, wx.BITMAP_TYPE_ANY)), 0, wx.ALIGN_CENTER_HORIZONTAL, 0)
self.sizer_3.Add(wx.StaticText(self.panel_1,-1, 'Dendrogramme CHD1 - %s' % type_dendro), 0, wx.ALIGN_CENTER_HORIZONTAL, 0)
self.sizer_3.Fit(self.panel_1)
self.Layout()
ira.nb.AddPage(self.sheet, matrix.parametres['matrix_name'])
self.sheet.Populate(matrix.csvtable)
self.sheet.parametres = matrix.parametres
- #self.ira.ShowMenu(_(u"View").decode('utf8'))
- #self.ira.ShowMenu(_(u"Matrix analysis").decode('utf8'))
- #self.ira.ShowMenu(_(u"Text analysis").decode('utf8'), False)
- #self.parent.type = "Data"
- #self.parent.DataPop = False
ira.nb.SetSelection(ira.nb.GetPageCount() - 1)
ira.ShowAPane("Tab_content")
- #self.ira.OnViewData('')
-
-
-
class CopusPanel(wx.Panel) :
def __init__(self, parent, parametres) :
fgSizer5.SetNonFlexibleGrowMode( wx.FLEX_GROWMODE_SPECIFIED )
self.fgSizer5 = fgSizer5
- self.m_staticText18 = wx.StaticText( self, wx.ID_ANY, u"Description du corpus", wx.DefaultPosition, wx.DefaultSize, 0 )
+ self.m_staticText18 = wx.StaticText( self, wx.ID_ANY, _(u"Description of corpus").decode('utf8'), wx.DefaultPosition, wx.DefaultSize, 0 )
self.m_staticText18.Wrap( -1 )
fgSizer5.Add( self.m_staticText18, 0, wx.ALL, 5 )
self.m_staticText21.Wrap( -1 )
fgSizer5.Add( self.m_staticText21, 0, wx.ALL, 5 )
- description = {'lang' : u'langue',
- 'encoding' : u'encodage',
- 'ucinb' : u'Nombre de textes',
- 'ucenb' : u'Nombre de segments de texte',
- 'formesnb' : u'Nombre de formes',
- 'hapax' : u'Nombre d\'hapax'
+ description = {'lang' : _(u'Language').decode('utf8'),
+ 'encoding' : _(u'Characters set').decode('utf8'),
+ 'ucinb' : _(u'Number of texts').decode('utf8'),
+ 'ucenb' : _(u'Number of text segments').decode('utf8'),
+ 'formesnb' : _(u'Number of forms').decode('utf8'),
+ 'hapax' : _(u'Number of hapax').decode('utf8'),
}
keys = ['lang', 'encoding', 'originalpath', 'pathout', 'date', 'time']
self.graphpan.Bind(wx.EVT_BUTTON, self.redosimi, self.graphpan.butafc)
self.graphpan.Bind(wx.EVT_BUTTON, self.export, self.graphpan.butexport)
self.tabsimi.AddPage(self.graphpan, 'Graph')
- self.ira.nb.AddPage(self.tabsimi, 'Analyse de graph')
+ self.ira.nb.AddPage(self.tabsimi, _(u'Graph analysis').decode('utf8'))
self.ira.ShowTab(True)
self.ira.nb.SetSelection(self.ira.nb.GetPageCount() - 1)
with open(filetmp, 'w') as f :
f.write(txt)
exec_rcode(self.ira.RPath, filetmp)
- mss = wx.MessageDialog(self.ira, fileout, u'Fichier exporté', wx.OK)
+ mss = wx.MessageDialog(self.ira, fileout, _(u'File exported').decode('utf8'), wx.OK)
mss.CenterOnParent()
mss.ShowModal()
mss.Destroy()
class FreqLayout(DefaultMatLayout) :
def dolayout(self) :
self.tab = wx.html.HtmlWindow(self.ira.nb, -1)
- if "gtk2" in wx.PlatformInfo:
- self.tab.SetStandardFonts()
- self.tab.LoadPage(self.pathout['resultats.html'])
+ res = normpath_win32(self.pathout['resultats.html']).replace('\\','/')
+ self.tab.LoadPage(res)
self.tab.parametres = self.parametres
- self.ira.nb.AddPage(self.tab, u"Fréquences")
+ self.ira.nb.AddPage(self.tab, ' - '.join([_(u"Frequency").decode('utf8'), self.parametres['name']]))
class Chi2Layout(DefaultMatLayout) :
self.tab = wx.html.HtmlWindow(self.ira.nb, -1)
if "gtk2" in wx.PlatformInfo:
self.tab.SetStandardFonts()
- self.tab.LoadPage(self.pathout['resultats-chi2.html'])
+ res = normpath_win32(self.pathout['resultats-chi2.html']).replace('\\','/')
+ self.tab.LoadPage(res)
self.tab.parametres = self.parametres
- self.ira.nb.AddPage(self.tab, ' - '.join([u"Chi2", "%s" % self.parametres['name']]))
+ self.ira.nb.AddPage(self.tab, ' - '.join([u"Chi2", self.parametres['name']]))
#self.ira.nb.SetSelection(self.ira.nb.GetPageCount() - 1)
#self.ira.ShowAPane("Tab_content")
class ProtoLayout(DefaultMatLayout) :
def dolayout(self) :
- list_graph = [['proto.png', 'Analyse prototypique']]
+ list_graph = [['proto.png', _(u'Prototypical analysis').decode('utf8')]]
#self.Tab = aui.AuiNotebook(self.ira.nb, -1, wx.DefaultPosition)
#if self.parametres['svg'] :
# list_graph = [['nuage_1.svg', 'Nuage']]
#self.Tab.AddPage(self.TabProto, 'Analyse Prototypique')
#self.Tab.corpus = self.corpus
self.TabProto.parametres = self.parametres
- self.ira.nb.AddPage(self.TabProto, 'Analyse Prototypique - %s' % self.parametres['name'])
+ self.ira.nb.AddPage(self.TabProto, ' - '.join([_(u'Prototypical analysis').decode('utf8'), self.parametres['name']]))
#self.ira.nb.SetSelection(self.ira.nb.GetPageCount() - 1)
#self.ira.ShowAPane("Tab_content")
self.graphpan.Bind(wx.EVT_BUTTON, self.export, self.graphpan.butexport)
self.tabsimi.AddPage(self.graphpan, 'Graph')
self.tabsimi.parametres = self.parametres
- self.parent.nb.AddPage(self.tabsimi, 'Analyse de graph')
+ self.parent.nb.AddPage(self.tabsimi, ' - '.join([_(u'Graph analysis').decode('utf8'), self.parametres['name']]))
#self.parent.ShowTab(True)
#self.parent.nb.SetSelection(self.parent.nb.GetPageCount() - 1)
fileout = filename + '.svg'
else :
fileout = self.script.filename
+ fileout = normpath_win32(fileout)
if os.path.exists(self.pathout['liste_graph']):
graph_simi = read_list_file(self.pathout['liste_graph'])
graph_simi.append([os.path.basename(fileout), self.script.txtgraph])
if self.parametres['svg'] :
self.graphpan.sizer_3.Add(hl.HyperLinkCtrl(self.graphpan.panel_1, -1, fileout, URL = fileout), 0, wx.ALIGN_CENTER_HORIZONTAL, 0)
else :
- self.graphpan.sizer_3.Add(wx.StaticBitmap(self.graphpan.panel_1, -1, wx.Bitmap(self.script.filename, wx.BITMAP_TYPE_ANY)), 0, wx.ALIGN_CENTER_HORIZONTAL, 0)
+ self.graphpan.sizer_3.Add(wx.StaticBitmap(self.graphpan.panel_1, -1, wx.Bitmap(fileout, wx.BITMAP_TYPE_ANY)), 0, wx.ALIGN_CENTER_HORIZONTAL, 0)
self.graphpan.sizer_3.Add(wx.StaticText(self.graphpan.panel_1,-1, self.script.txtgraph), 0, wx.ALIGN_CENTER_HORIZONTAL, 0)
self.graphpan.sizer_3.Fit(self.graphpan.panel_1)
self.graphpan.Layout()
'halo' : self.dial.halo.GetValue(),
'com' : self.dial.comcheck.GetValue(),
'communities' : self.dial.choix_com.GetSelection(),
+ 'edgecurved' : self.dial.check_curved.GetValue(),
}
if 'cexfromchi' in self.parametres :
paramsimi['cexfromchi'] = self.dial.checkit.GetValue()
with open(filetmp, 'w') as f :
f.write(txt)
exec_rcode(self.ira.RPath, filetmp)
- mss = wx.MessageDialog(self.ira, fileout, u'Fichier exporté', wx.OK)
+ mss = wx.MessageDialog(self.ira, fileout, _(u'File exported').decode('utf8'), wx.OK)
mss.CenterOnParent()
mss.ShowModal()
mss.Destroy()
projects / iramuteq / blobdiff