def main():

    #SETTINGS
    best_n_words = 10000
    logging.basicConfig(format='%(asctime)s : %(levelname)s : %(message)s', level=logging.INFO)
    settings = Settings.Settings()
    results_dir = settings.results_directory + GwData.FOLDER

    #TOKENIZE
    data = GwData.GwData()
    tokenized_docs = WordTokenizer.tokenize(data.documents, min_word_count = 5)
    term_freq = TermFrequency.TermFrequency(tokenized_docs)
    
    #NLTK Decision Tree
    list_of_dicts = Converter.vector_space_to_dict_list(term_freq.matrix, term_freq.id2Word, Converter.to_binary)
 
    labels = data.causal_per_document
    causal_count = sum(labels)
    relative_word_frequency = DocumentFrequency.document_frequency_ratio(list_of_dicts, labels, lambda l: l == 1)
    condensed_data = extract_best_n_words(relative_word_frequency, best_n_words, list_of_dicts)

    labelled_data = zip(condensed_data, labels)
    td_size = int(0.75 * len(labelled_data))
    
    training_data = labelled_data[:td_size]
    validation_data = labelled_data[td_size:]

    dt = nltk.DecisionTreeClassifier.train(training_data)
    
    #RESULTS
    classifications = [dt.classify(rcd) for rcd,lbl in validation_data]
    
    results = ResultsHelper.rfp(labels[td_size:], classifications)
    results +=  "Num Words Used              : " + str(best_n_words) + "\n"
    results += "\n"

    error = dt.error(labelled_data)
    results += "ERROR:                      : " + str(error * 100) + "%\n"
    results += "\n"

    results += "PSEUDOCODE:\n"
    results += dt.pseudocode(depth = 1000) + "\n"
    print results

    #DUMP TO FILE    
    fName = results_dir + "Causal_Relation_DT.txt"
    handle = open(fName, mode = "w+")
    handle.write(results)
    handle.close()
    
    #binary_matrix = term_freq.binary_matrix()
    #decision_tree = tree.DecisionTreeClassifier(criterion = 'entropy')
    #decision_tree.fit(binary_matrix, labels)
    
    # Test with CL1 labels
    raw_input("Press Enter to quit")
Пример #2
0
 def convert(self, latex_input):
     logging.debug(latex_input)
     latex_input = self.handle_custom_commands(latex_input)
     logging.debug(latex_input)
     mathml_string = l2m.latex_to_mathml(latex_input, name_space = True)
     print(mathml_string)
     #mathml_string = etree.tostring(mathml_tree)
     logging.debug(mathml_string)
     mathml_tree = etree.fromstring(mathml_string)
     omml_tree = self.transform(mathml_tree)
     print(self.transform.error_log)
     return omml_tree.getroot()
Пример #3
0
	def on_Convert(self, *args):

		#Apre la finestra di dialogo con le impostazioni
		dlgCon = ConverterDialog(self.mainWindow, self.prefs)
		dlgCon.show()

		if not dlgCon.response == gtk.RESPONSE_OK:
			return
		
		sorgente = "file"
		#Carica la lista dei file selezionati
		if not bool(int(self.prefs.get_option("save-all-tracks"))):
			# Solo i file selezionati
			self.selconv = self.Selection(self.FileTable)
		else:
			# Tutti i file
			self.FileTable.tvSelection.select_all()
			self.selconv = self.Selection(self.FileTable)
			self.FileTable.tvSelection.unselect_all()

		if self.selconv:
			# Inizializza la coda
			request_queue = Queue.Queue()
			n = 0
			for sel in self.selconv:
				n += 1
				af = sel[0]
				it = sel[1]

				# Status bar
				if af.get_tag("title") != "Unknown title" and af.get_tag("artist") != "Unknown artist":
					self.msg = af.get_tag("artist") + " - " + af.get_tag("title")
				elif af.get_uri():
					self.msg = af.get_filepath()
				self.set_status("Converting " + self.msg + " (file " + str(n) + "/" + str(len(self.selconv)) + ")")

				# Riempie la coda caricando le preferenze
				request_queue.put([n, sel])

			self.init = time.time()
			self.progConvert.show()

			# Riempita la coda, lancia il thread dell'encoder
			self.encoder_thread = Converter(self, self.prefs, sorgente, request_queue)
			self.encoder_thread.start()

			# Svuota la coda per fermare il thread
			for sel in self.selconv:
				request_queue.put(None)

			self.FileTable.tvSelection.unselect_all()
Пример #4
0
    def download(self):
        print "Start downloading " + self.url
        
        #download youtube info
        if self.get_youtube_info()==False:
            return False
        signature = self.download_stream_info["sig"]
        url = self.download_stream_info["url"]
        download_url = "%s&signature=%s" % (url, signature)
        if self.output_file_name=="FF":
            dmn = Download( download_url, self.title)
            self.output_file_name = self.title
        else:
            dmn = Download( download_url, self.output_file_name)
        dmn.download()

        print "\nConverting:\n"
        ofile = "result_"+self.output_file_name+"."+self.ofe
        print ofile
        con = Converter( self.output_file_name,  ofile)
        
        con.ffmpeg_converter(self.audio_codec,self.video_codec)
        
        return True
def main():

    #SETTINGS
    logging.basicConfig(format='%(asctime)s : %(levelname)s : %(message)s', level=logging.INFO)
    settings = Settings.Settings()
    results_dir = settings.results_directory + GwData.FOLDER

    #TOKENIZE
    data = GwData.GwData()
    tokenized_docs = WordTokenizer.tokenize(data.documents, min_word_count = 5)
    term_freq = TermFrequency.TermFrequency(tokenized_docs)
    #tfidf = TfIdf.TfIdf(tokenized_docs)
    
    #NLTK Decision Tree
    list_of_dicts = Converter.vector_space_to_dict_list(term_freq.distance_matrix, term_freq.id2Word,
                                                        Converter.to_binary)
    #list_of_dicts = Converter.vector_space_to_dict_list(tfidf.matrix, tfidf.id2Word)
    
    labels = data.causal_per_document
    labelled_data = zip(list_of_dicts, labels)
    td_size = int(0.75 * len(labelled_data))
    
    training_data = labelled_data[:td_size]
    validation_data = labelled_data[td_size:]

    me = nltk.MaxentClassifier.train(training_data, algorithm = "GIS")
    
    #RESULTS
    classifications = [me.classify(rcd) for rcd,lbl in validation_data]
    
    results = ResultsHelper.rfp(labels[td_size:], classifications)
    print results

    #print "EXPLAIN:\n"
    #me.explain(condensed_data[0], 100)

    #DUMP TO FILE    
    fName = results_dir + "Causal_Relation_MaxEnt.txt"
    handle = open(fName, mode = "w+")
    handle.write(results)
    handle.close()
    
    #binary_matrix = term_freq.binary_matrix()
    #decision_tree = tree.DecisionTreeClassifier(criterion = 'entropy')
    #decision_tree.fit(binary_matrix, labels)
    
    # Test with CL1 labels
    raw_input("Press Enter to quit")
Пример #6
0
def appendStats(raw_output, clf, score, k, timeFit, timePredict):
    _timeFitLin = clf.time_fit_lin  # SS_MSMS
    _timeFitGauss = clf.time_fit_gauss  # MM:SS
    _timeFitOver = clf.time_overhead  # MSMS
    # _timeTotal = _timeFitLin + _timeFitGauss + _timeFitOver
    _timeTotal = timeFit
    _score = score
    _error = round((1 - _score) * 100, 2)
    _timePredict = timePredict  ## SS_MSMS

    gauss_stat = str(clf.n_gauss) + " (" + str(
        round((float(clf.n_gauss) / float(clf.n_gauss + clf.n_lin) * 100), 2)) + "%);"
    lin_stat = str(clf.n_lin) + " \t(" + str(
        round((float(clf.n_lin) / float(clf.n_gauss + clf.n_lin) * 100), 2)) + "%);"
    lin_c = Converter.toPowerOfTen(clf.lin_svc.C) + ";"
    gauss_c = Converter.toPowerOfTen(clf.gauss_svc.C) + ";"
    gauss_gamma = Converter.toPowerOfTen(clf.gauss_svc.gamma) + ";"

    try:
        n_gaussSVs = str(clf.gauss_svc.n_support_[0] + clf.gauss_svc.n_support_[1]) + ";"
    except AttributeError:
        n_gaussSVs = "0;"

    # Bring Time data in readable format
    # _timeFit = Conversions.secondsToHourMin(_timeTotal)
    _timeFitLin = Converter.secondsToSecMilsec(_timeFitLin)
    _timeFitGauss = Converter.secondsToMinSec(_timeFitGauss)
    _timeFitOver = Converter.secondsToMilsec(_timeFitOver)
    _timePredict = Converter.secondsToSecMilsec(_timePredict)

    raw_output[0].append(gauss_stat)
    raw_output[1].append(lin_stat)
    raw_output[2].append(lin_c)
    raw_output[3].append(gauss_c)
    raw_output[4].append(gauss_gamma)
    raw_output[5].append(n_gaussSVs)
    raw_output[6].append(str(_timeTotal).replace(".", ",") + "s;")
    raw_output[7].append(_timeFitGauss + ";")
    raw_output[8].append(_timeFitLin + ";")
    raw_output[9].append(_timeFitOver + ";")
    raw_output[10].append(_timePredict + ";")
    raw_output[11].append(str(_error) + "%;")
    raw_output[12].append(str(k) + ";")

    return raw_output
Пример #7
0
def main():
	playlist = Playlist("/home/klaxa/Music/test.m3u")
	converter = Converter()
	converter.encode(playlist.tracks[0])
	converter.encode(playlist.tracks[0])
Пример #8
0
class classXAudioCopy:

	# Costruttore della classe classXAudioCopy
	def __init__(self):
		# Collega il file XML
		self.builderXAC = Gtk.Builder()
		self.builderXAC.add_from_file(GLADE)
		# Collega i segnali
		self.builderXAC.connect_signals(self)

		# Carica la finestra principale "mainWindow"
		self.mainWindow = self.builderXAC.get_object("mainWindow")
		self.mainWindow.set_title(WINDOW_TITLE)
		self.mainWindow.connect("destroy", lambda on_quit: Gtk.main_quit())

		# Carica la statusbar
		self.status = self.builderXAC.get_object("statusbar")

		# Collega il menu contestuale
		self.popupmenu = self.builderXAC.get_object("popupmenu")

		# Carica la tabella per la lista dei file (TreeView)
		self.FileTable = FileTable(self.builderXAC)

		# Visualizza la finestra principale mainWindow
		self.mainWindow.show()
		self.set_status()

		# Toglie il focus al pulsante cmdOpenFile (TODO: scoprire perché ce l'ha)
		self.mainWindow.set_focus(None)

		# Carica la barra con i tag e la nasconde all'avvio
		self.TagBar = TagBar(self.builderXAC)
		self.TagBar.hide()

		# Aggancia alcuni pulsanti e menu (per renderli sensibili o insensibili)
		self.cmdCD = self.builderXAC.get_object("cmdCD")
		self.menuCD = self.builderXAC.get_object("menuCD")

		self.cmdOpenFile = self.builderXAC.get_object("cmdOpenFile")
		self.menuOpenFile = self.builderXAC.get_object("menuOpenFile")

		self.cmdOpenFolder = self.builderXAC.get_object("cmdOpenFolder")
		self.menuOpenFolder = self.builderXAC.get_object("menuOpenFolder")

		self.cmdPlay = self.builderXAC.get_object("cmdPlay")
		self.menuPlay = self.builderXAC.get_object("menuPlay")
		self.menuPause = self.builderXAC.get_object("menuPause")
		self.popPlay = self.builderXAC.get_object("popPlay")
		self.popPause = self.builderXAC.get_object("popPause")

		self.cmdStop = self.builderXAC.get_object("cmdStop")
		self.menuStop = self.builderXAC.get_object("menuStop")
		self.popStop = self.builderXAC.get_object("popStop")

		self.cmdNext = self.builderXAC.get_object("cmdNext")
		self.menuNext = self.builderXAC.get_object("menuNext")

		self.cmdPrev = self.builderXAC.get_object("cmdPrev")
		self.menuPrev = self.builderXAC.get_object("menuPrev")

		self.cmdRewind = self.builderXAC.get_object("cmdRewind")
		self.cmdForward = self.builderXAC.get_object("cmdForward")

		self.labelTime = self.builderXAC.get_object("labelTime")
		self.scaleTime = self.builderXAC.get_object("scaleTime")

		self.volumebutton = self.builderXAC.get_object("volumebutton")
		self.volumebutton.set_value(0.5)

		self.cmdRemove = self.builderXAC.get_object("cmdRemove")
		self.menuRemove = self.builderXAC.get_object("menuRemove")

		self.cmdPurge = self.builderXAC.get_object("cmdPurge")
		self.menuPurge = self.builderXAC.get_object("menuPurge")

		self.menuSelectAll = self.builderXAC.get_object("menuSelectAll")
		self.menuUnselectAll = self.builderXAC.get_object("menuUnselectAll")

		self.cmdRip = self.builderXAC.get_object("cmdRip")
		self.menuRip = self.builderXAC.get_object("menuRip")

		self.cmdConvert = self.builderXAC.get_object("cmdConvert")
		self.menuConvert = self.builderXAC.get_object("menuConvert")

		self.menuProperty = self.builderXAC.get_object("menuProperty")
		self.menuModify = self.builderXAC.get_object("menuModify")
		self.menuPlaylist = self.builderXAC.get_object("menuPlaylist")
		self.popProperty = self.builderXAC.get_object("popProperty")
		self.popTagger = self.builderXAC.get_object("popTagger")

		# Rende insensibili alcuni menu e pulsanti all'avvio
		self.set_sensitive(False)
		self.cmdRip.set_sensitive(False)
		self.cmdConvert.set_sensitive(False)

		# Carica la progressbar per la conversione e la nasconde all'avvio
		self.progConvert = self.builderXAC.get_object("progressbar")
		self.progConvert.hide()

		# Crea l'oggetto lista dei file
		self.audioFileList = FileList()

		# Istanza del player audio
		self.player = Player(None, self)
		self.player.set_volume(self.volumebutton.get_value())
		self.player_bus = self.player.bus
		self.player_bus.connect("message::eos", self.on_endPlay)
		self.player_bus.connect("message::error", self.on_endError)

		# Carica le preferenze
		self.prefs = Preferences()

	# Funzione che attiva la finestra principale
	def main(self):
		Gtk.main()

	# Funzione che modifica la barra di stato
	def set_status(self, text=None):

		self.status.show()
		con_id = self.status.get_context_id("SB")
		if not text:
			text = "Ready"
			self.mainWindow.set_title(WINDOW_TITLE)
		self.status.push(con_id, text)
		#print text
		while Gtk.events_pending():
			Gtk.main_iteration()

	# Funzione che rende sensibili/insensibili alcuni menu e pulsanti
	def set_sensitive(self, sensitive):

		cmd = [
			self.cmdPlay,
			self.menuPlay,
			self.popPlay,
			self.menuPause,
			self.popPause,
			self.cmdNext,
			self.menuNext,
			self.cmdPrev,
			self.menuPrev,
			self.cmdRemove,
			self.menuRemove,
			self.cmdPurge,
			self.menuPurge,
			self.cmdRewind,
			self.cmdForward,
			self.cmdConvert,
			self.menuConvert,
			self.menuSelectAll,
			self.menuUnselectAll,
			self.menuProperty,
			self.menuModify,
			self.popProperty,
			self.popTagger,
			self.menuPlaylist,
			self.TagBar
			]
		if sensitive:
			for c in cmd:
				c.set_sensitive(True)
		elif not sensitive:
			for c in cmd:
				c.set_sensitive(False)
			self.menuRip.set_sensitive(False)
			self.cmdRip.set_sensitive(False)
			self.cmdStop.set_sensitive(False)
			self.menuStop.set_sensitive(False)
			self.popStop.set_sensitive(False)
			self.scaleTime.set_sensitive(False)

	# Evento per l'uscita dal programma
	def on_Quit(self, *args):
		print "Bye..."
		Gtk.main_quit()

	# Evento per l"apertura di un file
	def on_OpenFile(self, *args):
		self.set_status("Adding files...")
		# Oggetto di classe FileChooser (False se apre un file)
		FC = FileChooser(False)
		self.AddFileList(FC)
		try:
			self.player.stop()
		except:
			pass
		self.cmdPlay.set_stock_id("gtk-media-play")

	# Evento per l"apertura di una cartella
	def on_OpenFolder(self, *args):
		self.set_status("Adding forder...")
		# Oggetto di classe FileChooser (True se apre una cartella)
		FC = FileChooser(True)
		self.AddFileList(FC)
		try:
			self.player.stop()
		except:
			pass
		self.cmdPlay.set_stock_id("gtk-media-play")

	# Evento che apre la finetra informazioni
	def on_About(self, *args):
		# Oggetto di classe AboutDialog
		self.About = AboutDialog()

	# Evento che rimuove gli elementi della tabella slezionati
	def on_Remove(self, *args):
		self.FileTable.remove()
		self.on_Stop()
		self.cmdPlay.set_stock_id("gtk-media-play")
		self.mainWindow.set_title(WINDOW_TITLE)
		if len(self.audioFileList.filelist) == 0:
			self.set_sensitive(False)
			self.cmdConvert.set_sensitive(False)
			self.cmdStop.set_sensitive(False)
			self.menuStop.set_sensitive(False)
		else:
			self.set_sensitive(True)
			self.cmdConvert.set_sensitive(True)

	# Evento che pulisce la tabella
	def on_Purge(self, *args):
		self.set_status("Purge list...")
		self.FileTable.purge()
		self.audioFileList.purge()
		self.TagBar.purge()
		self.TagBar.hide()
		self.cmdOpenFile.set_sensitive(True)
		self.cmdOpenFolder.set_sensitive(True)
		self.set_status()
		self.on_Stop()
		self.cmdPlay.set_stock_id("gtk-media-play")
		self.mainWindow.set_title(WINDOW_TITLE)
		self.set_sensitive(False)
		self.cmdConvert.set_sensitive(False)
		self.cmdRip.set_sensitive(False)
		self.progConvert.hide()

	# Evento che apre la finestra preferenze
	def on_Preferences(self, *args):
		dlgPrefs = PreferencesDialog(self.mainWindow, self.prefs)
		dlgPrefs.show()

	# Evento per la riproduzione di un file
	def on_Play(self, *args):

		print self.cmdPlay.get_stock_id()
		self.cmdStop.set_sensitive(True)
		self.menuStop.set_sensitive(True)
		self.popStop.set_sensitive(True)
		self.scaleTime.set_sensitive(True)

		# Se il pulsante indica "play", riproduce la selezione
		if self.cmdPlay.get_stock_id() == "gtk-media-play":

			# Se il player è pronto, inizia la riproduzione
			if self.player.state == "ready":

				#Carica la lista dei file selezionati
				self.selplay = self.Selection(self.FileTable)
				# Riproduce solo il primo file della lista caricata
				try:
					sel = self.selplay[0]
				except IndexError:
					sel = None
				self.playing_song = sel
				if sel:
					af = sel[0]
					it = sel[1]
					if not self.file_exists(af):
						return
	
					self.FileTable.tvSelection.unselect_all()
					self.FileTable.tvSelection.select_iter(it)
					print "Riproduzione di: ", af.get_uri()

					self.player.play(af)

					if af.get_tag("title") != "Unknown title" and af.get_tag("artist") != "Unknown artist":
						msg = af.get_tag("artist") + " - " + af.get_tag("title")
					elif af.get_uri():
						msg = af.get_filepath()
					self.set_status("Playing " + msg)
					self.mainWindow.set_title(msg)
					self.scaleTime.set_range(0, 1)
					self.scaleTime.set_value(0)

			# Se è in pausa, riprende la riproduzione
			elif self.player.state == "paused":
				self.player.carry_on()

			if self.player.state == "playing":
				self.cmdPlay.set_stock_id("gtk-media-pause")

		# Se il pulsante indica "pause", mette in pausa
		elif self.cmdPlay.get_stock_id() == "gtk-media-pause":
			if self.player.state == "playing":
				self.player.pause()
				if self.player.state == "paused":
					self.cmdPlay.set_stock_id("gtk-media-play")

	# Thread per l'avanzamento del tempo di riproduzione
	def play_thread(self):
		# From http://pygstdocs.berlios.de/pygst-tutorial/seeking.html
		print "PLAY_THREAD"
		play_thread_id = self.player.play_thread_id
		print play_thread_id
		print self.player.play_thread_id
		Gtk.gdk.threads_enter()
		self.labelTime.set_text("00:00 / 00:00")
		Gtk.gdk.threads_leave()

		while play_thread_id == self.player.play_thread_id:
			try:
				time.sleep(0.2)
				if self.player.duration == -1:
					continue
				Gtk.gdk.threads_enter()
				self.labelTime.set_text("00:00 / " + self.player.duration_str)
				Gtk.gdk.threads_leave()
				print "OK 1"
				break
			except:
				print "QUERY_IN_CORSO"
				pass

		time.sleep(0.2)
		while play_thread_id == self.player.play_thread_id:
			pos_int = self.player.player.query_position(gst.FORMAT_TIME, None)[0]
			pos_str = self.player.convert_ns(pos_int)
			if play_thread_id == self.player.play_thread_id:
				Gtk.gdk.threads_enter()
				self.labelTime.set_text(pos_str + " / " + self.player.duration_str)
				self.scaleTime.set_value(float(pos_int)/float(self.player.duration))
				Gtk.gdk.threads_leave()
			time.sleep(0.5)

	# Evento che avanza la barra del tempo
	def on_adjust_bounds(self, *args):
		print "adjust-bound"
		self.player.change_position(self.scaleTime.get_value())

	# Evento per la modifica del volume
	def volume_changed(self, *args):
		try:
			self.player.set_volume(self.volumebutton.get_value())
		except: pass

	# Richiamato quando termina la riproduzione di un brano
	def on_endPlay(self, player_bus, message):
		print "Esecuzione terminata"
		self.set_status()
		self.mainWindow.set_title(WINDOW_TITLE)
		self.cmdStop.set_sensitive(False)
		self.menuStop.set_sensitive(False)
		self.popStop.set_sensitive(False)
		self.scaleTime.set_sensitive(False)
		self.labelTime.set_text("00:00 / 00:00")
		# Passa al brano successivo
		try:
			print "Brano successivo"
			self.on_Next()
		except:
			pass
		#self.scaleTime.set_value(1)

	def on_endError(self, player_bus, message):
		err, debug = message.parse_error()
		print "Error: %s" % err, debug
		self.set_status()
		self.mainWindow.set_title(WINDOW_TITLE)
		self.cmdStop.set_sensitive(False)
		self.menuStop.set_sensitive(False)
		self.popStop.set_sensitive(False)
		self.scaleTime.set_sensitive(False)
		self.labelTime.set_text("00:00 / 00:00")
		#self.scaleTime.set_value(0)

	# Evento per il menu pausa (serve per distinguere l'azione
	# da quello del pulsante play/pause)
	def on_menuPause(self, *args):
		if self.cmdPlay.get_stock_id() == "gtk-media-pause":
			self.on_Play()

	# Evento per il menu play (serve per distinguere l'azione
	# da quello del pulsante play/pause)
	def on_menuPlay(self, *args):
		if self.cmdPlay.get_stock_id() == "gtk-media-play":
			self.on_Play()
		else:
			if self.playing_song == self.Selection(self.FileTable):
				self.on_Play()
				self.on_Play()
			else:
				self.on_Stop()
				self.on_Play()

	# Evento per il doppio click su una riga della tabella
	# e riproduce la canzone clickata
	def on_row_activated(self, *args):
		print "RIGA ATTIVATA"
		try:
			self.player.stop()
			self.cmdPlay.set_stock_id("gtk-media-play")
		except:
			pass
		self.on_Play()

	# Evento per il click sulla tabella dei file
	def on_row_clicked(self, widget, event):

		# Apre il menù contestuale
		if event.button == 3:
			print "TASTO DESTRO"
			if self.Selection(self.FileTable):
				x = int(event.x)
				y = int(event.y)
				time = event.time
				pthinfo = widget.get_path_at_pos(x, y)
				if pthinfo is not None:
					path, col, cellx, celly = pthinfo
					widget.grab_focus()
					widget.set_cursor( path, col, 0)
					self.popupmenu.popup( None, None, None, event.button, time)
					return True
		if event.button == 1:
			print "TASTO SINISTRO"
		if event.type == Gtk.gdk.BUTTON_PRESS:
			print "SINGOLO CLICK"
		elif event.type == Gtk.gdk._2BUTTON_PRESS:
			print "DOPPIO CLICK"
		elif event.type == Gtk.gdk._3BUTTON_PRESS:
			print "TRIPLO CLICK"

	# Evento per la selezione di una riga della tabella
	def on_row_selected(self, *args):
		print "RIGA SELEZIONATA"
		model, pathlist = self.FileTable.tvSelection.get_selected_rows()
		if pathlist:
			rowpath = pathlist[0]
			it = self.FileTable.listStore.get_iter(rowpath)
			for af in self.audioFileList.filelist:
				if str(af.pointer) == model.get_string_from_iter(it):
					print "SELEZIONATO IL FILE: ", af.get_filepath()

	# Evento che ferma la riproduzione
	def on_Stop(self, *args):

		try:
			self.player.stop()
		except: pass
		self.cmdPlay.set_stock_id("gtk-media-play")
		self.set_status()
		self.mainWindow.set_title(WINDOW_TITLE)
		self.cmdStop.set_sensitive(False)
		self.menuStop.set_sensitive(False)
		self.popStop.set_sensitive(False)
		self.scaleTime.set_value(0)
		self.scaleTime.set_sensitive(False)
		self.labelTime.set_text("00:00 / 00:00")


	# Evento che passa a riprodurre la canzone successiva
	def on_Next(self, *args):

		model, pathlist = self.FileTable.tvSelection.get_selected_rows()
		rowpath = pathlist[0]
		self.FileTable.tvSelection.unselect_all()
		self.on_Stop()
		#self.FileTable.tvSelection.select_path(rowpath)
		it = self.FileTable.listStore.get_iter(rowpath)
		root_it = self.FileTable.listStore.get_iter_root()
		next_it = self.FileTable.listStore.iter_next(it)
		if next_it:
			self.FileTable.tvSelection.select_iter(next_it)
			print "on_Next Successivo"
		else:
			try:
				self.FileTable.tvSelection.select_iter(root_it)
				print "on_Next Primo della lista"
			except:
				pass
		self.cmdPlay.set_stock_id("gtk-media-play")
		self.labelTime.set_text("00:00 / 00:00")
		self.on_Play()

	# Evento che passa a riprodurre la canzone precedente
	def on_Prev(self, *args):

		selection = []

		model, pathlist = self.FileTable.tvSelection.get_selected_rows()
		rowpath = pathlist[0]
		self.FileTable.tvSelection.unselect_all()
		self.on_Stop()
		prev_pointer = 0
		prev_it = None
		curr_it = self.FileTable.listStore.get_iter(rowpath)
		for af in self.audioFileList.filelist:
			if str(af.pointer) == model.get_string_from_iter(curr_it):
				prev_pointer = af.pointer - 1
				print "af.pointer: ", af.pointer
				print "prev_pointer: ", prev_pointer
		if prev_pointer > -1:
			self.FileTable.tvSelection.select_all()
			model, pathlist = self.FileTable.tvSelection.get_selected_rows()

			if pathlist:
				iterlist = []
				for rowpath in pathlist:
					try:
						iterlist.append(model.get_iter(rowpath))
					except ValueError:
						pass
				for it in iterlist:
					if str(prev_pointer) == model.get_string_from_iter(it):
						prev_it = it
				if prev_it:
					self.FileTable.tvSelection.unselect_all()
					self.FileTable.tvSelection.select_iter(prev_it)
			else:
				try:
					self.FileTable.tvSelection.select_iter(self.FileTable.listStore.get_iter_root())
				except:
					pass
		self.cmdPlay.set_stock_id("gtk-media-play")
		self.labelTime.set_text("00:00 / 00:00")
		self.on_Play()

	# Evento per l'avanzamento veloce
	def on_Forward(self, *args):

		self.player.forward()

	# Evento per il riavvolgimento veloce
	def on_Rewind(self, *args):

		self.player.rewind()

	# Evento che apre un CD_Audio e carica i tag da freeDB
	# se il server è disponibile
	def on_CD(self, *args):

		self.set_status("Adding Audio CD...")
		self.TagBar.purge()

		self.CDdata = None
		try:
			self.audioCD = CDDBReader()
		except:
			self.set_status("Insert an Audio CD into the drive...")
			self.cmdOpenFile.set_sensitive(True)
			self.cmdOpenFolder.set_sensitive(True)
			self.dlg = WarningDialog(self.mainWindow, NAME + " - Warning", "No disc into the drive. Please insert one...")
			return

		if self.audioCD.is_audio_cd:
			self.audioFileList.purge()
			self.FileTable.purge()
			self.TagBar.show()
			self.cmdPlay.set_stock_id("gtk-media-play")
			self.on_Stop()

			if self.audioCD.query_status == 409:
				self.set_status("No connection to the internet is current available or no server response...")
				self.dlg = WarningDialog(self.mainWindow, NAME + " - Warning","No connection to the internet is current available or no server response...")
				self.TagBar.entry_tag("Unknow album", "Unknow artist", "Unknow year", "Unknow genre")

				for i in range(self.audioCD.disc_id[1]):
					n = "%.02d" %(i + 1)
					af = AudioFile("cdda://" + n, n)
					af.set_tag("track_number", n)
					af.set_tag("title", "Track " + n)
					#af.frame = self.audioCD.disc_id[i+2]
					af.set_filename("Track " + n)
					print af.get_tags_as_dict()
					self.audioFileList.append(af)
					self.set_status("Append " + af.get_filename() + "/" + str(self.audioCD.disc_id[1]))
			else:
				if type(self.audioCD.query_info).__name__ == "list":
					print "E'UNA LISTA"
					cds = []
					for cd in self.audioCD.query_info:
						cds.append([cd["disc_id"], cd["category"], cd["title"]])
					self.CDDBSelection = CDDBSelection(self.mainWindow, cds)
					selected_cd = int(self.CDDBSelection.selected_cd)
					self.audioCD.get_CDDB_tag(self.audioCD.query_status, self.audioCD.query_info[selected_cd])
				else:
					self.audioCD.get_CDDB_tag(self.audioCD.query_status, self.audioCD.query_info)

				self.TagBar.entry_tag(self.audioCD.album, self.audioCD.artist, self.audioCD.year, self.audioCD.cddb_genre)
				self.CDdata = {"album": self.audioCD.album,
							"artist": self.audioCD.artist,
							"year": self.audioCD.year,
							"genre": self.audioCD.cddb_genre
							}
				for song in self.audioCD.song_list:
					af = AudioFile("cdda://" + str("%.02d" %(song["track_number"])), song["track_number"])
					af.set_tag("track_number", "%.02d" %(song["track_number"]))
					af.set_tag("title", song["title"])
					af.set_tag("artist", self.audioCD.artist)
					af.set_tag("album", self.audioCD.album)
					af.set_tag("year", self.audioCD.year)
					af.set_tag("genre", self.audioCD.cddb_genre)
					af.set_filename("Track " + str("%.02d" %(song["track_number"])))
					print af.get_tags_as_dict()
					self.audioFileList.append(af)
					self.set_status("Append " + af.get_filename() + "/" + str(self.audioCD.disc_id[1]))

			# Scrive i file nella tabella
			self.FileTable.append(self.audioFileList)
			self.set_status()
			self.audioCD = None
			self.set_sensitive(True)
			self.cmdRip.set_sensitive(True)

			self.cmdOpenFile.set_sensitive(False)
			self.menuOpenFile.set_sensitive(False)

			self.cmdOpenFolder.set_sensitive(False)
			self.menuOpenFolder.set_sensitive(False)

			self.cmdConvert.set_sensitive(False)
			self.menuConvert.set_sensitive(False)
		else:
			self.audioCD = None
			return

	# Evento che cambia i dati del CD su modifica utente
	def on_entry_changed(self, *args):
		print "CHANGED"
		self.CDdata = {"album": self.TagBar.entryAlbum.get_text(),
						"artist": self.TagBar.entryArtist.get_text(),
						"year": self.TagBar.entryYear.get_text(),
						"genre": self.TagBar.entryGenre.get_text()
						}
		for af in self.audioFileList.filelist:
			af.set_tag("album", self.CDdata["album"])
			af.set_tag("artist", self.CDdata["artist"])
			af.set_tag("year", self.CDdata["year"])
			af.set_tag("genre", self.CDdata["genre"])

		self.FileTable.purge()
		self.FileTable.append(self.audioFileList)

	# Evento che apre la finestra di scelta per il ripping del CD
	def on_Rip(self, *args):

		try:
			from morituri.rip import main as Ripper
		except:
			self.dlg = WarningDialog(self.mainWindow, NAME + " - Warning",'''Morituri is not available.
Please try 'apt-get install morituri' or
visit http://thomas.apestaart.org/morituri/trac/wiki''')
			return

		#Apre la finestra di dialogo con le impostazioni
		dlgRip = RipDialog(self.mainWindow, self.prefs)
		dlgRip.show()

		if not dlgRip.response == Gtk.ResponseType.OK:
			return
		else:
			self.set_status("Ripping Audio CD ...")

			# Posizione temporanea
			import tempfile
			tempdir = tempfile.mkdtemp()

			# Ripping del CD audio in una directory temporanea
			# Argomenti da passare:
			# rip_args = ['cd', 'rip', '--output-directory=' + tempdir, '--track-template=%t - %n', '--profile=wav']
			# In morituri waveenc non funziona. Bisogna lasciare l'uscita di default in flac
			rip_args = ['cd', 'rip', '--output-directory=' + tempdir, '--track-template=%t - %n']
			try:
				# Avvia l'estrazione
				ret = Ripper.main(rip_args)
				ret = 0
			except:
				self.dlg = WarningDialog(self.mainWindow, NAME + " - Warning", "Task exception. Morituri don't work.")
				ret = -1
				self.set_status()
				return
			if ret == 0:
				self.set_status("Ripping completed...")

			# Carica i file da convertire
			walk = os.walk(tempdir)
			convert_filelist = []
			for dirpath, subdir, filenames in walk:
				for f in filenames:
					if f[-5:] == ".flac":
						f = os.path.join(dirpath, f)
						convert_filelist.append(AudioFile("file://" + f))

			#Carica la lista dei file selezionati
			if not bool(int(self.prefs.get_option("save-all-tracks"))):
				# Solo i file selezionati
				self.selconv = self.Selection(self.FileTable)
			else:
				# Tutti i file
				self.FileTable.tvSelection.select_all()
				self.selconv = self.Selection(self.FileTable)
				self.FileTable.tvSelection.unselect_all()

			if self.selconv:
				temp_format = self.prefs.get_option("output-format")
				# Inizializza la coda
				request_queue = Queue.Queue()
				n = 0
				for sel in self.selconv:
					n += 1
					af = sel[0]
					it = sel[1]

					for convert_file in convert_filelist:
						if af.get_tag("track_number") == convert_file.get_filename()[0:2]:
							convert_file.set_tags_as_dict(af.get_tags_as_dict())
							# Salva non compressi
							if not bool(int(self.prefs.get_option("rip-compressed"))) or self.prefs.get_option("output-format") == "wav":
								self.prefs.set_option("output-format", "wav")
								request_queue.put([n, (convert_file, it)])
								self.set_status("Now save uncompressed files...")
							elif bool(int(self.prefs.get_option("rip-compressed"))):
								request_queue.put([n, (convert_file, it)])
								self.set_status("Now save compressed files...")
				self.init = time.time()
				self.progConvert.show()

				# Riempita la coda, lancia il thread dell'encoder
				self.encoder_thread = Converter(self, self.prefs, request_queue)
				self.encoder_thread.start()

				# Svuota la coda per fermare il thread
				for sel in self.selconv:
					request_queue.put(None)
				self.FileTable.tvSelection.unselect_all()
				self.set_status("Done...")

	# Evento per la conversione dei file audio
	def on_Convert(self, *args):

		#Apre la finestra di dialogo con le impostazioni
		dlgCon = ConverterDialog(self.mainWindow, self.prefs)
		dlgCon.show()

		if not dlgCon.response == Gtk.ResponseType.OK:
			return

		#Carica la lista dei file selezionati
		if not bool(int(self.prefs.get_option("save-all-tracks"))):
			# Solo i file selezionati
			self.selconv = self.Selection(self.FileTable)
		else:
			# Tutti i file
			self.FileTable.tvSelection.select_all()
			self.selconv = self.Selection(self.FileTable)
			self.FileTable.tvSelection.unselect_all()

		if self.selconv:
			# Inizializza la coda
			request_queue = Queue.Queue()
			n = 0
			for sel in self.selconv:
				n += 1
				af = sel[0]
				it = sel[1]

				# Status bar
				if af.get_tag("title") != "Unknown title" and af.get_tag("artist") != "Unknown artist":
					self.msg = af.get_tag("artist") + " - " + af.get_tag("title")
				elif af.get_uri():
					self.msg = af.get_filepath()
				self.set_status("Converting " + self.msg + " (file " + str(n) + "/" + str(len(self.selconv)) + ")")

				# Riempie la coda caricando le preferenze
				request_queue.put([n, sel])

			self.init = time.time()
			self.progConvert.show()

			# Riempita la coda, lancia il thread dell'encoder
			self.encoder_thread = Converter(self, self.prefs, request_queue)
			self.encoder_thread.start()

			# Svuota la coda per fermare il thread
			for sel in self.selconv:
				request_queue.put(None)
			
			self.FileTable.tvSelection.unselect_all()			

	# Aggiorna la progressbar durante la conversione
	def on_ProgressBar(self):

		self.progConvert.set_fraction(self.encoder_thread.amount_completed)
		if self.encoder_thread.work_complete:
			self.progConvert.set_fraction(1)
			if self.encoder_thread.queue_complete:
				if bool(int(self.prefs.get_option("playlist"))):
					self.write_playlist(self.encoder_thread.savepath, self.encoder_thread.playlistname, self.encoder_thread.listsongs)
				self.progConvert.set_text("Complete!")
				print "Complete!"
				self.set_status("Done in " + str(round(time.time() - self.init, 2)) + " seconds")
				self.progConvert.set_fraction(1)
		else:
			self.progConvert.set_text("%d%%" % (self.encoder_thread.amount_completed * 100))
			self.set_status("Converting " + self.encoder_thread.msg + \
					" (file " + str(self.encoder_thread.n) + "/" + str(len(self.selconv)) + ")" + \
					" - " + ("%f" % (round(time.time() - self.init, 2)))[:4] + " seconds")
		return not self.encoder_thread.work_complete

	# Crea la playlist dei brani convertiti
	def write_playlist(self, savepath, playlistname, listsongs):

		playlist = open(savepath + "/" + playlistname + ".m3u", "wb")
		playlist.writelines(listsongs)
		playlist.close()

	# Seleziona tutte le righe
	def on_SelectAll(self, *args):

		self.FileTable.tvSelection.select_all()

	# Deseleziona tutte le righe
	def on_UnselectAll(self, *args):

		self.FileTable.tvSelection.unselect_all()

	# Proprietà della canzone
	def on_Property(self, *args):

		#Carica la lista dei file selezionati
		self.selplay = self.Selection(self.FileTable)
		# Riproduce solo il primo file della lista caricata
		try:
			sel = self.selplay[0]
		except IndexError:
			sel = None
		self.playing_song = sel
		if sel:
			af = sel[0]
			it = sel[1]
			self.FileTable.tvSelection.unselect_all()
			self.FileTable.tvSelection.select_iter(it)

			dlgprop = PropertyDialog(self, self.mainWindow, sel)
			dlgprop.show()

	# Modifica i tag
	def on_Tagger(self, *args):

		#Carica la lista dei file selezionati
		self.selplay = self.Selection(self.FileTable)
		# Riproduce solo il primo file della lista caricata
		try:
			sel = self.selplay[0]
		except IndexError:
			sel = None
		if sel:
			af = sel[0]
			it = sel[1]
			self.FileTable.tvSelection.unselect_all()
			self.FileTable.tvSelection.select_iter(it)

		dlgtag = TaggerDialog(self, self.mainWindow, sel)
		dlgtag.show()

		if not dlgtag.response == Gtk.ResponseType.OK:
			return
 
		if dlgtag.save_tags:
			if dlgtag.save_tags_all:
				for af in self.audioFileList.filelist:
					af.write_metadata()
					if dlgtag.id3v2:
						af.write_ID3v2()
			else:
				selection = self.Selection(self.FileTable)
				sel = selection[0]
				sel[0].write_metadata()
				if dlgtag.id3v2:
					sel[0].write_ID3v2()		
				i = self.audioFileList.filelist.index(sel[0])
				self.audioFileList.remove(sel[0].get_uri())
				self.audioFileList.filelist.insert(i, AudioFile(sel[0].get_uri()))

		elif dlgtag.remove_tags:
			if dlgtag.remove_tags_all:
				for af in self.audioFileList.filelist:
					af.remove_metadata()
			else:
				selection = self.Selection(self.FileTable)
				sel = selection[0]
				sel[0].remove_metadata()
				i = self.audioFileList.filelist.index(sel[0])
				self.audioFileList.remove(sel[0].get_uri())
				self.audioFileList.filelist.insert(i, AudioFile(sel[0].get_uri()))

		self.FileTable.purge()
		self.FileTable.append(self.audioFileList)

	# Crea una playlist
	def on_Playlist(self, *args):

		dlgpl = PlaylistDialog(self, self.mainWindow)
		dlgpl.show()

		if not dlgpl.response == Gtk.ResponseType.OK:
			return


	# Restituisce una lista di file audio selezionati
	def Selection(self, FileTable):

		selection = []

		model, pathlist = FileTable.tvSelection.get_selected_rows()
		print "pathlist: ", pathlist
		if not pathlist:
			print "not"
			try:
				pathlist = [(0,)]
				print "pathlist: ", pathlist
			except:
				pass
		if pathlist:
			print "pathlist: ", pathlist
			iterlist = []
			for rowpath in pathlist:
				print "rowpath: ", rowpath
				try:
					iterlist.append(model.get_iter(rowpath))
				except ValueError:
					pass
			print "iterlist: ", iterlist
			for it in iterlist:
				print "riga da riprodurre", model.get_string_from_iter(it)
				for af in self.audioFileList.filelist:
					print "af.pointer: ", af.pointer
					print "model.get_string_from_iter(iter): ", model.get_string_from_iter(it)
					if str(af.pointer) == model.get_string_from_iter(it):
						print "sono uguali"
						selection.append((af, it))
						print "Selection: ", selection
					else:
						print "non sono uguali"
		return selection

	# Funzione che apre il selettore file e carica i file scelti
	def AddFileList(self, FileChooser):

		# Imposta la cartella corrente
		try:
			if os.path.exists(self.prefs.get_option("last-used-folder")):
				FileChooser.set_current_folder(self.prefs.get_option("last-used-folder"))
			else:
				FileChooser.set_current_folder(os.path.expandvars("$HOME"))
			# Eccezione nel caso in cui non sia definita.
			# In tal caso la cartella corrente viene settata sulla HOME.
		except:
			FileChooser.set_current_folder(os.path.expandvars("$HOME"))

		# Seleziona la risposta
		response = FileChooser.run()
		if response == Gtk.ResponseType.OK:

			if FileChooser.is_folder:
				# Se il percorso restituito è una cartella
				# crea una lista con i file audio presenti nella cartella
				# e nelle sue sottocartelle.
				walk = os.walk(FileChooser.get_current_folder())

				# Restituisce una lista con tutti i file
				walk_filelist = []
				for dirpath, subdir, filenames in walk:
					print "dirpath: ", dirpath
					print "dirnames: ", subdir
					for f in filenames:
						f = os.path.join(dirpath, f)
						walk_filelist.append(f)
					print "listone: ", walk_filelist

				# Aggiunge l'uri completo ad ogni file
				furi = []
				for f in walk_filelist:
					for ext in fileext:
						if f[-4:] == ext:
							furi.append("file://" + str(f))
				for l in furi:
					print "fpathList: ", l
				self.audioFileList.add_list(furi)		

			else:
				# Se il percorso restituito è un file o un elenco di file
				filenames = []
				print FileChooser.get_filenames()[0]
				if FileChooser.get_filenames():					
					for f in FileChooser.get_filenames():
						print "f ", FileChooser.get_filenames()
						# Se il percorso restituito è una plaulist "*.m3u"
						if f[-4:] == ".m3u":
							plist = open(f, "rb").readlines()
							for finlist in plist:
								if not "#EXT" in finlist:
									print re.compile("\n").sub("", finlist)
									print "PERCORSO FILE IN PLAYLIST", "file://" + FileChooser.get_current_folder() + "/" + re.compile("\n").sub("", finlist)
									filenames.append("file://" + FileChooser.get_current_folder() + "/" + re.compile("\n").sub("", finlist))
						else:
							filenames.append("file://" + f)
							print filenames
				self.audioFileList.add_list(filenames)
				print "LISTA APPESA ", self.audioFileList.filelist
			# Scrive i file nella tabella
			self.FileTable.append(self.audioFileList)

		elif response == Gtk.ResponseType.CANCEL:
			print 'Closed, no files selected'

		self.prefs.set_option("last-used-folder", FileChooser.get_current_folder())
		FileChooser.hide()
		FileChooser.destroy()
		self.set_status()

		if not self.audioFileList.filelist:
			print "LISTA VUOTA"
			self.set_sensitive(False)
			self.cmdConvert.set_sensitive(False)
		else:
			self.set_sensitive(True)
			self.cmdConvert.set_sensitive(True)

	# Funzione che verifica se il file audio esiste
	def file_exists(self, af):
		if os.path.exists(af.get_filepath()):
			return True
		elif af.get_uri()[:7] == "cdda://":
			return True
		else:
			dlg = WarningDialog(self.mainWindow, NAME + " - Warning", "The file " + af.get_filepath()  + " does not exist in the specified path. Perhaps it was deleted.")
			return False
Пример #9
0
# - zipper (array) -
import Converter as C
import Post as P
import Generator as G
import Transform as T

m1 = G.cylinder((0, 0, 0), 1, 5, 0., 360., 10., (50, 50, 1))
m1 = C.initVars(m1, 'cellN', 1.)

# Set cellN = 2 (interpolated points) to boundary
s = T.subzone(m1, (1, m1[3], 1), (m1[2], m1[3], m1[4]))
s = C.initVars(s, 'cellN', 2)
m1 = T.patch(m1, s, (1, m1[3], 1))
s = T.subzone(m1, (1, 1, 1), (m1[2], 1, m1[4]))
s = C.initVars(s, 'cellN', 2)
m1 = T.patch(m1, s, (1, 1, 1))

ni = 30
nj = 40
m2 = G.cart((0, 0, 0), (10. / (ni - 1), 10. / (nj - 1), -1), (ni, nj, 1))
m2 = C.initVars(m2, 'cellN', 1.)

array = P.zipper([m1, m2], [])
C.convertArrays2File([array], 'out.plt')
# One way to import module is using import file name
import Converter
print(Converter.convert("Hello :)"))


# another to import module  with specific functions only
from Converter import convert
print(convert("haha :P"))

Пример #11
0
# - perturbate (array) -
import Generator as G
import Transform as T
import Converter as C

a = G.cart((0, 0, 0), (1, 1, 1), (10, 10, 1))
a = T.perturbate(a, 0.1)
C.convertArrays2File([a], "out.plt")
# - projectDir (array) -
import Geom as D
import Converter as C
import Generator as G
import Transform as T
import KCore.test as test

# Structure
a = D.sphere((0, 0, 0), 1., 20)
a = C.initVars(a, 'F', 1)
b = G.cart((1.1, -0.1, -0.1), (0.1, 0.1, 0.1), (1, 5, 5))
b = C.initVars(b, 'F', 1)
c = T.projectDir([b], [a], (-1., 0, 0), oriented=1)
test.testA([a, b] + c, 1)
c = T.projectDir([b], [a], (1., 0, 0), oriented=1)
test.testA([a, b] + c, 2)
Пример #13
0
def streamSurf(arrays, b, vector, N=2000, dir=1):
    b = Converter.convertArray2Hexa(b)
    if (b[3] != 'BAR'): raise TypeError("streamSurf: b must be a BAR.")
    coord = b[1]
    return post.compStreamSurf(arrays, b, vector, dir, N)
Пример #14
0
# - patch (array) -
import Transform as T
import Generator as G
import Converter as C
import numpy

c1 = G.cart((0, 0, 0), (0.01, 0.01, 1), (201, 101, 1))
c2 = G.cart((0, 0, 0), (0.01, 0.01, 1), (51, 81, 1))
c2 = T.rotate(c2, (0, 0, 0), (0, 0, 1), 0.2)
c3 = G.cart((0.0, 1., 0), (0.01, 0.01, 1), (101, 1, 1))
c3 = T.rotate(c3, (0, 0, 0), (0, 0, 1), 0.3)
# patch a region at given position
a = T.patch(c1, c2, position=(1, 1, 1))
# patch some nodes
nodes = numpy.arange(20100, 20201, dtype=numpy.int32)
b = T.patch(c1, c3, nodes=nodes)
C.convertArrays2File([a, b], 'out.plt')
Пример #15
0
# - reorder -
# Reordonne le bloc selectionne
# 's' sauvegarde le fichier
import Converter as C
import CPlot
import Transform as T
import time

a = C.convertFile2Arrays('fontaine.plt')
CPlot.display(a, mode=1, displayBB=0)

bool = 0
while (bool == 0):
    l = -1
    CPlot.display(a)
    while (l == -1):
        l = CPlot.getSelectedZone()
        s = CPlot.getKeyboard()
        if (s == "s"):
            C.convertArrays2File(a, 'out.plt')
            import sys
            sys.exit()
        time.sleep(0.1)

    # Reorder suivant le type de zone
    z = a[l - 1]
    if (len(z) == 5):  # structure
        ni = z[2]
        nj = z[3]
        nk = z[4]
        if (ni == 1):
Пример #16
0
# - polyline (array) -
import Geom as D
import Converter as C

a = D.polyline([(0.,0.,0.),(1.,1.,0.),(2.,0.,0.)])
C.convertArrays2File(a, "out.plt")
Пример #17
0
# - convertFile2Arrays (binary png) -
import Converter as C

a = C.convertFile2Arrays('Data/test.png', 'bin_png')
C.convertArrays2File(a, 'out.plt', 'bin_tp')
# - computeExtraVariable (array) -
import Generator as G
import Converter as C
import Post as P
import Transform as T
import KCore.test as test

a = G.cart((0, 0, 0), (1, 1, 1), (10, 10, 10))
a = C.initVars(a, 'Density', 1.)
a = C.initVars(a, 'MomentumX', 1.)
a = C.initVars(a, 'MomentumY', 0.)
a = C.initVars(a, 'MomentumZ', 0.)
a = C.initVars(a, 'EnergyStagnationDensity', 1.)
v = P.computeExtraVariable(a, 'Vorticity')
m = P.computeExtraVariable(a, 'VorticityMagnitude')
q = P.computeExtraVariable(a, 'QCriterion')
tau = P.computeExtraVariable(a, 'ShearStress')
a = C.node2Center(a)
a = C.addVars([a, v, m, q, tau])
test.testA([a], 1)
wall = T.subzone(a, (1, 1, 1), (9, 9, 1))
skinFriction = P.computeExtraVariable(wall, 'SkinFriction')
wall = C.addVars([wall, skinFriction])
test.testA([wall], 2)
# - setHoleInterpolatedPts (array) -
import Converter as C
import Connector as X
import Generator as G


def sphere(x, y, z):
    if x * x + y * y + z * z < 0.5**2: return 0.
    else: return 1.


a = G.cart((-1., -1., -1.), (0.1, 0.1, 0.1), (20, 20, 20))
celln = C.node2Center(a)
celln = C.initVars(celln, 'cellN', sphere, ['x', 'y', 'z'])
celln = X.setHoleInterpolatedPoints(celln, depth=1)
C.convertArrays2File([celln], 'out.plt')
Пример #20
0
# - gapfixer (array) -
import Generator as G
import Converter as C
import Geom as D
import KCore.test as test

a = D.circle( (0,0,0), 1, N=100 )
a = C.convertArray2Tetra(a); a = G.close(a)
b = G.cart((-2.,-2.,0.), (0.1,0.1,1.), (50,50,1))
a1 = G.gapfixer(a, b)
test.testA([a1],1)

hp = D.point((0.5, 0.5, 0.))
a2 = G.gapfixer(a, b, hp, refine=0)
test.testA([a2],2)
# - boolean reorientExternalFaces (array) -
import Generator as G
import Converter as C
import Intersector as XOR

a = G.cartHexa((0., 0., 0.), (0.1, 0.1, 0.2), (10, 10, 10))
a = C.convertArray2NGon(a)
a = XOR.reorientExternalFaces(a)

C.convertArrays2File([a], 'out.plt')
Пример #22
0
# - integMomentNorm (array) -
import Generator as G
import Converter as C
import Transform as T
import Post as P
from numpy import *
import math

res1 = math.pi * 10.
res1c = (math.pi - math.pi / 25.) * 10.
res2 = 2.
res2c = 1.62
# Lit le fichier et le met dans arrays
a = G.cylinder((0., 0., 0.), 0.5, 1., 360., 0., 10., (50, 2, 30))
a2 = T.subzone(a, (1, 1, 1), (50, 1, 30))
C.convertArrays2File([a], "new.plt", "bin_tp")

# integMoment node2center, nj = 1
ni = a[2] - 1
nj = a[3] - 1
nk = a[4] - 1
dens = ones((1, ni * nj * nk), float64)
densa = ['t', dens, ni, nj, nk]

res = P.integMomentNorm([a2], [densa], [], (0., 0., 5.))
## if math.fabs(res[0]-res1) > 1.e-1:
##     print "pb in integMomentNodeCenter, nj=1"
print(res, res1)
del res

# integMoment, nj = 1
# - display (array) -
import Generator as G
import CPlot
import Converter as C


def F(x, y):
    return x * x + y * y


a = G.cart((0, 0, 0), (1, 1, 1), (18, 28, 1))
a = C.initVars(a, 'F', F, ['x', 'y'])

CPlot.display(a, mode=3, scalarField=0, dim=2, displayIsoLegend=1)
# - center2Node (array) -
import Converter as C
import Generator as G
import KCore.test as test


def F(x, y):
    return 2 * x + y


# Non structure TETRA
ni = 30
nj = 40
nk = 12
a = G.cartTetra((0, 0, 0), (10. / (ni - 1), 10. / (nj - 1), 1), (ni, nj, nk))
a = C.initVars(a, 'ro', F, ['x', 'y'])
ac = C.node2Center(a)
an = C.center2Node(ac)
test.testA([an], 1)

# Test sur une liste
ni = 10
nj = 15
nk = 2
b = G.cartTetra((0, 0, 0), (10. / (ni - 1), 10. / (nj - 1), 1), (ni, nj, nk))
b = C.initVars(b, 'ro', F, ['x', 'y'])
bc = C.node2Center(b)
B = C.center2Node([ac, bc])
test.testA(B, 2)

# Non structure TRI
Пример #25
0
def streamLine(arrays, X0, vector, N=2000, dir=2):
    """Compute a streamline starting from (x0,y0,z0) given
    a list of arrays containing 'vector' information.
    Usage: streamLine(arrays, (x0,y0,z0), vector, N, dir)"""
    # get an (unstructured) array containing all  2D-surface arrays
    surf = []
    for a in arrays:
        elt = 'None'
        ni = 2
        nj = 2
        nk = 2
        if (len(a) == 5):  # structure
            ni = a[2]
            nj = a[3]
            nk = a[4]
        else:
            elt = a[3]
        mult = (ni - 1) * (nj - 1) * (nk - 1)
        add = (ni - 1) * (nj - 1) + (ni - 1) * (nk - 1) + (nj - 1) * (nk - 1)
        if ((mult == 0) and (add != 0)) or (elt == 'QUAD') or (elt == 'TRI'):
            a = Converter.convertArray2Tetra(a)
            surf.append(a)
    if surf != []:
        try:
            import Transform, Generator
        except:
            raise ImportError(
                "streamLine: requires Transform and Generator modules.")
        surf = Transform.join(surf)
        surf = Generator.close(surf)
    # grow 2D arrays
    if surf != []:
        tol = 1.
        inl, modified = growOfEps__(arrays, tol, nlayers=2, planarity=False)
        arrays = inl

    if (dir == +1):
        return post.compStreamLine(arrays, surf, X0, vector, 1., N)
    elif (dir == -1):
        return post.compStreamLine(arrays, surf, X0, vector, -1., N)
    else:
        try:
            a = post.compStreamLine(arrays, surf, X0, vector, 1., N)
        except:
            a = 0
        try:
            b = post.compStreamLine(arrays, surf, X0, vector, -1., N)
        except:
            b = 0
        if (a != 0 and b != 0):
            try:
                import Transform
            except:
                return a
            b = Transform.reorder(b, (-1, 2, 3))
            c = Transform.join(b, a)
            return c
        elif (b == 0 and a != 0):
            return a
        elif (a == 0 and b != 0):
            return b
        else:
            raise
Пример #26
0
# - setDoublyDefinedBC (array) -
import Converter as C
import Connector as X
import Generator as G

a = G.cart((0, 0, 0), (1, 1, 1), (10, 10, 10))
b = G.cart((2.5, 2.5, -2.5), (0.5, 0.5, 0.5), (10, 10, 30))
celln = C.array('cellN', a[2] - 1, a[3] - 1, a[4] - 1)
celln = C.initVars(celln, 'cellN', 1)
indmax = celln[2] * celln[3]
for ind in xrange(indmax):
    celln[1][0][ind] = 2
cellnb = C.array('cellN', b[2] - 1, b[3] - 1, b[4] - 1)
cellnb = C.initVars(cellnb, 'cellN', 1)
celln = X.setDoublyDefinedBC(a,
                             celln, [b], [cellnb], [1, a[2], 1, a[3], 1, 1],
                             depth=1)
ac = C.node2Center(a)
ac = C.addVars([ac, celln])
C.convertArrays2File([ac], 'out.plt')
Пример #27
0
def computeIndicatorField(octreeHexa,
                          indicVal,
                          nbTargetPts=-1,
                          bodies=[],
                          refineFinestLevel=1,
                          coarsenCoarsestLevel=1):
    """Compute the indicator -1, 0 or 1 for each element of the HEXA octree
    with respect to the indicatorValue field located at element centers. The
    bodies fix the indicator to 0 in the vicinity of bodies. nbTargetPts
    controls the number of points after adaptation.
    If refineFinestLevel=1, the finest levels are refined.
    If coarsenCoarsestLevel=1, the coarsest levels are coarsened wherever possible.
    Returns the indicator field.
    Usage: computeIndicatorField(octreeHexa, indicVal, nbTargetPts, bodies, refinestLevel, coarsenCoarsestLevel)"""
    try:
        import Generator as G
    except:
        raise ImportError("computeIndicatorField: requires Generator module.")
    npts = octreeHexa[1][0].shape[0]
    if (nbTargetPts == -1): nbTargetPts = npts

    valName = indicVal[0]
    nelts = indicVal[2]
    indicVal[1] = numpy.absolute(indicVal[1])
    indicator = Converter.initVars(indicVal, 'indicator', 0.)
    indicator = Converter.extractVars(indicator, ['indicator'])

    if bodies != []:
        bodies = Converter.convertArray2Tetra(bodies)
        indicator = post.enforceIndicatorNearBodies(indicator, octreeHexa,
                                                    bodies)
    if (refineFinestLevel == 0):
        indicator = post.enforceIndicatorForFinestLevel(indicator, octreeHexa)
    if (coarsenCoarsestLevel == 1):
        indicator = post.enforceIndicatorForCoarsestLevel(
            indicator, octreeHexa)

    valMin = Converter.getMinValue(indicVal, valName)
    epsInf = valMin / 4.
    valMax = Converter.getMaxValue(indicVal, valName)
    epsSup = valMax * 4.
    # calcul de l'indicateur : tous les pts sont raffines (low)
    indicator1 = computeIndicatorFieldForBounds(indicator, indicVal,
                                                epsInf / 4., 4. * epsInf)
    res = G.adaptOctree(octreeHexa, indicator1)
    nptsfin = len(res[1][0])
    print 'Number of points for low bound value %g is %d (targetPts=%d)' % (
        epsInf, nptsfin, nbTargetPts)
    if (nptsfin < nbTargetPts): return indicator1, epsInf / 4., epsInf * 4.

    # calcul de l'indicateur : ts les pts sont deraffines
    indicator1 = computeIndicatorFieldForBounds(indicator, indicVal, \
                                                epsSup/4., epsSup*4.)
    res = G.adaptOctree(octreeHexa, indicator1)
    nptsfin = len(res[1][0])
    print 'Number of points for high bound value %g is %d (targetPts=%d)' % (
        epsSup, nptsfin, nbTargetPts)
    if (nptsfin > nbTargetPts):
        #print 'Warning: computeIndicator: the number of final points cannot be lower than the target.'
        return indicator1, epsSup / 4., epsSup * 4.

    # dichotomie
    count = 0
    Delta = nbTargetPts
    diffmax = 1.e-8 * nbTargetPts / max(Delta, 1e-6)
    diff = diffmax + 1.
    while (count < 100 and Delta > 0.02 * nbTargetPts and diff > diffmax):
        eps = 0.5 * (epsInf + epsSup)
        #print 'epsInf =', epsInf, ' | epsSup = ', epsSup
        indicator1 = computeIndicatorFieldForBounds(indicator, indicVal,
                                                    eps / 4., 4. * eps)
        res = G.adaptOctree(octreeHexa, indicator1)
        nptsfin = len(res[1][0])
        if (nptsfin > nbTargetPts): epsInf = eps
        else: epsSup = eps
        Delta = abs(nbTargetPts - nptsfin)
        diffmax = 1.e-8 * nbTargetPts / max(Delta, 1e-6)
        diff = abs(epsSup - epsInf)
        count += 1
        print 'Number of points for bound value %g is %d (targetPts=%d)' % (
            eps, nptsfin, nbTargetPts)
    return indicator1, eps / 4., eps * 4.
Пример #28
0
# - convertFile2Arrays (fmt v3d) -
# - convertArrays2File (fmt v3d) -
import Converter as C

# Lit le fichier in.plt dans arrays
arrays = C.convertFile2Arrays("infmt.v3d", "fmt_v3d")

# Sauvegarde la liste au format fmt_v3d
C.convertArrays2File(arrays, "outfmt.v3d", "fmt_v3d")
# - snapSharpEdges (array) -
import Generator as G
import Converter as C
import Geom as D

# polylines with sharp angles
s = D.polyline([(0.2, 0, 0), (1, 1, 0), (2.5, 1, 0), (0.2, 0, 0)])
# Regular cartesian grid
h = 0.1
ni = 30
nj = 20
nk = 1
b = G.cart((-0.5, -0.5, 0), (h, h, 1.), (ni, nj, nk))
b = G.snapSharpEdges(b, [s], h)
C.convertArrays2File([b, s], 'out.plt')
# - convexify any concave polygon in the mesh (array) -
import Intersector as XOR
import Converter as C
import KCore.test as test

M1 = C.convertFile2Arrays('boolNG_M1.tp')
M1 = C.convertArray2NGon(M1[0])

M2 = C.convertFile2Arrays('boolNG_M2.tp')
M2 = C.convertArray2NGon(M2[0])

tol = -0.5e-3

m = XOR.booleanMinus(M1, M2, tol, preserve_right=1, solid_right=1, agg_mode=1)
#C.convertArrays2File([m], 'i.plt')

m = XOR.agglomerateNonStarCells(m)

test.testA(m, 1)
Пример #31
0
#!/usr/bin/env python
# coding: utf-8
r"""bezier (array)"""

import Geom as D
import Converter as C
import Generator as G

# Bezier 1D
pts = D.polyline([(0., 0., 0.), (0., 1., 0.), (2., 1., 0.), (2., 0., 0.),
                  (4., -1., 0.), (5., 6., 0.)])
# With a specified number of points
a = D.bezier(pts, N=100)
# With a specified point density
b = D.bezier(pts, density=10.)
C.convertArrays2File([pts, a, b], 'out.plt')

# Bezier 2D
ni = 2
nj = 3
a = G.cart((0, 0, 0), (1, 1, 1), (ni, nj, 1))
C.setValue(a, (1, 1, 1), [1., 1., 2.])
C.setValue(a, (1, 2, 1), [1., 2., 4.])
C.setValue(a, (1, 3, 1), [1., 3., 2.])
C.setValue(a, (2, 1, 1), [2., 1., 2.])
C.setValue(a, (2, 2, 1), [2., 2., 5.])
C.setValue(a, (2, 3, 1), [2., 3., 2.])
b = D.bezier(a, density=10.)
C.convertArrays2File([a] + [b], 'out2.plt')
def train():

    #SETTINGS
    best_n_words = 10000
    logging.basicConfig(format='%(asctime)s : %(levelname)s : %(message)s', level=logging.INFO)
    settings = Settings.Settings()
    results_dir = settings.results_directory + "Chicago/Files"

    #TOKENIZE
    xs = SentenceData.SentenceData()
    tokenizer = WordTokenizer.WordTokenizer(min_word_count = 5)
    tokenized_docs = tokenizer.tokenize(xs.documents)

    term_freq = TermFrequency.TermFrequency(tokenized_docs)
    
    #NLTK Decision Tree
    list_of_dicts = Converter.vector_space_to_dict_list(term_freq.distance_matrix, term_freq.id2Word, to_binary)
    
    #Number of unique documents
    unique_doc_count = len(xs.documents)
    
    for smCode in xs.sm_codes[1:]: # Skip the first (A code)
        try:
            
            print "{0} - Processing smCode: {1}".format(str(datetime.datetime.now()), smCode) 
            
            labels = xs.labels_for(smCode)
            num_docs_for_code = len(xs.sentences_for_code(smCode))
            print "#Docs for code: {0}".format(num_docs_for_code)
                
            relative_word_frequency = DocumentFrequency.document_frequency_ratio(list_of_dicts, labels, lambda l: l == 1)
            condensed_data = extract_best_n_words(relative_word_frequency, best_n_words, list_of_dicts)

            training_data = zip(condensed_data, labels)
        
            dt = nltk.DecisionTreeClassifier.train(training_data)
            
            results = "Num Words Used: " + str(best_n_words) + "\n"
            results += smCode + "\n\n"
            results += "PSEUDOCODE:\n"
            results += dt.pseudocode(depth = 1000) + "\n"
            
            error = dt.error(training_data)
        
            results += "ERROR:         " + str(error * 100) + "%\n\n"
            
            pct_docs_for_code = num_docs_for_code / float(unique_doc_count) * 100.0
            results += "Docs for code: {0}%\n".format(pct_docs_for_code) 
            
            fName = results_dir + smCode + ".txt"

            handle = open(fName, mode = "w+")
            handle.write(results)
            handle.close()
            print results
        
        except IOError as e:
            print str(e)

    #binary_matrix = term_freq.binary_matrix()
    #decision_tree = tree.DecisionTreeClassifier(criterion = 'entropy')
    #decision_tree.fit(binary_matrix, labels)
    
    # Test with CL1 labels
    raw_input("Press Enter to quit")
Пример #33
0
	def on_Rip(self, *args):

		try:
			from morituri.rip import main as Ripper
		except:
			self.dlg = WarningDialog(self.mainWindow, NAME + " - Warning",'''Morituri is not available.
Please try 'apt-get install morituri' or
visit http://thomas.apestaart.org/morituri/trac/wiki''')
			return

		#Apre la finestra di dialogo con le impostazioni
		dlgRip = RipDialog(self.mainWindow, self.prefs)
		dlgRip.show()

		if not dlgRip.response == Gtk.ResponseType.OK:
			return
		else:
			self.set_status("Ripping Audio CD ...")

			# Posizione temporanea
			import tempfile
			tempdir = tempfile.mkdtemp()

			# Ripping del CD audio in una directory temporanea
			# Argomenti da passare:
			# rip_args = ['cd', 'rip', '--output-directory=' + tempdir, '--track-template=%t - %n', '--profile=wav']
			# In morituri waveenc non funziona. Bisogna lasciare l'uscita di default in flac
			rip_args = ['cd', 'rip', '--output-directory=' + tempdir, '--track-template=%t - %n']
			try:
				# Avvia l'estrazione
				ret = Ripper.main(rip_args)
				ret = 0
			except:
				self.dlg = WarningDialog(self.mainWindow, NAME + " - Warning", "Task exception. Morituri don't work.")
				ret = -1
				self.set_status()
				return
			if ret == 0:
				self.set_status("Ripping completed...")

			# Carica i file da convertire
			walk = os.walk(tempdir)
			convert_filelist = []
			for dirpath, subdir, filenames in walk:
				for f in filenames:
					if f[-5:] == ".flac":
						f = os.path.join(dirpath, f)
						convert_filelist.append(AudioFile("file://" + f))

			#Carica la lista dei file selezionati
			if not bool(int(self.prefs.get_option("save-all-tracks"))):
				# Solo i file selezionati
				self.selconv = self.Selection(self.FileTable)
			else:
				# Tutti i file
				self.FileTable.tvSelection.select_all()
				self.selconv = self.Selection(self.FileTable)
				self.FileTable.tvSelection.unselect_all()

			if self.selconv:
				temp_format = self.prefs.get_option("output-format")
				# Inizializza la coda
				request_queue = Queue.Queue()
				n = 0
				for sel in self.selconv:
					n += 1
					af = sel[0]
					it = sel[1]

					for convert_file in convert_filelist:
						if af.get_tag("track_number") == convert_file.get_filename()[0:2]:
							convert_file.set_tags_as_dict(af.get_tags_as_dict())
							# Salva non compressi
							if not bool(int(self.prefs.get_option("rip-compressed"))) or self.prefs.get_option("output-format") == "wav":
								self.prefs.set_option("output-format", "wav")
								request_queue.put([n, (convert_file, it)])
								self.set_status("Now save uncompressed files...")
							elif bool(int(self.prefs.get_option("rip-compressed"))):
								request_queue.put([n, (convert_file, it)])
								self.set_status("Now save compressed files...")
				self.init = time.time()
				self.progConvert.show()

				# Riempita la coda, lancia il thread dell'encoder
				self.encoder_thread = Converter(self, self.prefs, request_queue)
				self.encoder_thread.start()

				# Svuota la coda per fermare il thread
				for sel in self.selconv:
					request_queue.put(None)
				self.FileTable.tvSelection.unselect_all()
				self.set_status("Done...")
Пример #34
0
# - getInCircleMap (array) -
import Geom as D
import Generator as G
import Converter as C

a = D.sphere((0, 0, 0), 1, 50)
a = C.convertArray2Tetra(a)
n = G.getInCircleMap(a)
n = C.center2Node(n)
n = C.addVars([a, n])
C.convertArrays2File([n], "out.plt")
def train():

    #SETTINGS
    cv_folds = 10
    logging.basicConfig(format='%(asctime)s : %(levelname)s : %(message)s', level=logging.INFO)
    settings = Settings.Settings()
    results_dir = settings.results_directory + GwData.FOLDER

    #TOKENIZE
    xs = GwData.GwData()
    tokenized_docs = WordTokenizer.tokenize(xs.documents, min_word_count = 5)

    tfidf = TfIdf.TfIdf(tokenized_docs)
    lsa = Lsa.Lsa(tfidf, 300)

    #NLTK SVM linear kernel
    xs = Converter.vector_space_to_dict_list(lsa.distance_matrix, lsa.id2Word, fn_dict_creator = lambda : defaultdict(float))
    total_recall, total_precision, total_f1, total_accuracy = 0.0, 0.0, 0.0, 0.0

    all_results = ""
    processed_code_count = 0

    def create_maxent(xs, ys):
        td = zip(xs, ys)
        return nltk.MaxentClassifier.train(td, algorithm='GIS', trace = 2, max_iter = 10)

    def classify(me, xs):
        return me.batch_classify(xs)

    #MIN_CODE_COUNT = 5
    MIN_CODE_COUNT = 1

    codes = [c for c in xs.sm_codes
                # Exclude pure vague codes
                if c != "v" and
                # Exclude doc codes. Need whole doc to classify them
                not c.startswith("s")]

    for code in codes:

        code_count = xs.sm_code_count[code]
        if code_count <= MIN_CODE_COUNT:
            continue

        processed_code_count += 1
        labels = xs.labels_for(code)

        recall, precision, f1_score, accuracy = cross_validation_score_generic(xs, labels, create_maxent, classify, cv_folds, class_value = 1.0)
        results = "Code: {0} Count: {1}, Recall: {2}, Precision: {3}, F1: {4}\n".format(code.ljust(10), code_count, recall, precision, f1_score)

        all_results += results
        total_recall += recall
        total_precision += precision
        total_f1 += f1_score
        total_accuracy += accuracy

        print results,

    #num_codes = len(xs.sm_codes)
    num_codes = processed_code_count
    result = "AGGREGATE\n\t Recall: {0}, Precision: {1}, F1: {2}, Accuracy {3}\n".format(total_recall / num_codes, total_precision / num_codes, total_f1 / num_codes, total_accuracy / num_codes)
    all_results += result
    print result

    #DUMP TO FILE
    fName = results_dir + "Code_Classify_MaxEnt.txt"
    handle = open(fName, mode = "w+")
    handle.write(all_results)
    handle.close()

    raw_input("Press Enter to quit")
Пример #36
0
# Variables a calculer
# --------------------
vars = [
    'Pressure', 'VelocityX', 'VelocityZ', 'VelocityMagnitude', 'Temperature',
    'Entropy', 'Enthalpy', 'Mach', 'ViscosityMolecular', 'PressureStagnation',
    'TemperatureStagnation'
]

# test sur un array avec variables conservatives
# ----------------------------------------------
ni = 30
nj = 40
m = G.cart((0, 0, 0), (10. / (ni - 1), 10. / (nj - 1), 1), (ni, nj, 2))

c1 = C.array('ro,rou,rov,row,roE', ni, nj, 2)
c1 = C.initVars(c1, 'ro', 1.5)
c1 = C.initVars(c1, 'rou', 2.)
c1 = C.initVars(c1, 'rov', 3.)
c1 = C.initVars(c1, 'row', 6.)
c1 = C.initVars(c1, 'roE', 1.e5)
a1 = C.addVars([m, c1])

P._computeVariables2(a1, vars, rgp=12.5)
test.testA([a1], 1)

# test sur un array avec variables primitives
# -------------------------------------------
c2 = C.array('ro,u,v,w,T', ni, nj, 2)
c2 = C.initVars(c2, 'ro', 1.)
c2 = C.initVars(c2, 'u', 1.)
Пример #37
0
# - extractVars (array) -
import Generator as G
import Converter as C

a = G.cart((0,0,0), (1,1,1), (10,10,10))
a = C.initVars(a, 'F=2.')
# Var defined by a string
r = C.extractVars(a, 'F')
# Vars defined by a list
r = C.extractVars(a, ['x','y']) 
C.convertArrays2File(r, 'out.plt')
Пример #38
0
# - coarsen (array) -
import Post as P
import Converter as C
import Generator as G
import Transform as T

# coarsen all cells of a square
ni = 21
nj = 21
nk = 11
hi = 2. / (ni - 1)
hj = 2. / (nj - 1)
hk = 1. / (nk - 1)
m = G.cart((0., 0., 0.), (hi, hj, hk), (ni, nj, nk))

hi = hi / 2
hj = hj / 2
hk = hk / 2
m2 = G.cart((0., 0., 0.), (hi, hj, hk), (ni, nj, nk))
m2 = T.subzone(m2, (3, 3, 6), (m[2] - 2, m[3] - 2, 6))
m2 = T.translate(m2, (0.75, 0.75, 0.25))
m2 = T.perturbate(m2, 0.51)
tri = G.delaunay(m2)

npts = tri[2].shape[1]
indic = C.array('indic', npts, 1, 1)
indic = C.initVars(indic, 'indic', 1)

sol = P.coarsen(tri, indic, argqual=0.25, tol=1.e6)
C.convertArrays2File([tri, sol], 'out.plt')
Пример #39
0
# - projectAllDirs (array) -
import Geom as D
import Converter as C
import Generator as G
import Transform as T
import KCore.test as test

# Structure
a = D.sphere((0, 0, 0), 1., 20)
a = C.initVars(a, 'F', 1)
b = G.cart((1.1, -0.1, -0.1), (0.1, 0.1, 0.1), (1, 5, 5))
n = G.getNormalMap(b)
n = C.center2Node(n)
C._addVars([b, n])
b = C.initVars(b, 'F', 1)
c = T.projectAllDirs([b], [a], ['sx', 'sy', 'sz'])
test.testA(c, 1)

# Non structure
a = D.sphere((0, 0, 0), 1., 20)
a = C.initVars(a, 'F', 1)
b = G.cartTetra((1.1, -0.1, -0.1), (0.1, 0.1, 0.1), (1, 5, 5))
n = G.getNormalMap(b)
n = C.center2Node(n)
C._addVars([b, n])
b = C.initVars(b, 'F', 1)
c = T.projectAllDirs([b], [a], ['sx', 'sy', 'sz'])
test.testA(c, 2)

a = C.convertArray2Tetra(a)
b = G.cartTetra((1.1, -0.1, -0.1), (0.1, 0.1, 0.1), (1, 5, 5))
# - maximizeBlankedCells (array) -
import Converter as C
import Connector as X
import Generator as G

def F(x,y):
    if (x+y<1): return 1
    else: return 2
    
Ni = 50; Nj = 50
a = G.cart((0,0,0),(1./(Ni-1),1./(Nj-1),1),(Ni,Nj,1))
a = C.initVars(a, 'cellN', F, ['x','y'])
a = X.maximizeBlankedCells(a, 2)
C.convertArrays2File([a], 'out.plt')
Пример #41
0
# - polyC1Mesher (array) -
import Converter as C
import Generator.PolyC1 as GP
import Generator as G
import Transform as T

# Read geometry from svg file
a = C.convertFile2Arrays('Data/curve.svg', density=1)[0]
a = T.homothety(a, (0, 0, 0), 0.01)
a = T.reorder(a, (1, 2, 3))

h = 0.2
hp = 0.001
density = 10.
splitCrit = 2.
m = GP.polyC1Mesher(a, h, hp, density, splitCrit)

for i in m[0]:
    v = G.getVolumeMap(i)
    min = C.getMinValue(v, 'vol')
    if min <= 0:
        print('negative volume detected.')

C.convertArrays2File(m[0], 'out.plt')
 def get_binary_data(self, distance_matrix, id2word):
 # Get binary data
    return Converter.vector_space_to_dict_list(distance_matrix, id2word, Converter.to_binary)