######################################################################## # # Vision Network - Python source code - file generated by vision # Tuesday 17 April 2007 10:52:38 # # The Scripps Research Institute (TSRI) # Molecular Graphics Lab # La Jolla, CA 92037, USA # # Copyright: Daniel Stoffler, Michel Sanner and TSRI # # revision: Guillaume Vareille # ######################################################################### # # $Header:$ # # $Id:$ # from traceback import print_exc ## loading libraries ## from Vision.matplotlibNodes import matplotliblib masterNet.getEditor().addLibraryInstance(matplotliblib,"Vision.matplotlibNodes", "matplotliblib") from Vision.StandardNodes import stdlib masterNet.getEditor().addLibraryInstance(stdlib,"Vision.StandardNodes", "stdlib") try: ## saving node Contour ## from Vision.matplotlibNodes import ContourNE Contour_34 = ContourNE(constrkw = {}, name='Contour', library=matplotliblib) masterNet.addNode(Contour_34,157,256) Contour_34.inputPortByName['contour'].widget.set("filledcontour", run=False) Contour_34.inputPortByName['length_colors'].widget.set("10", run=False) Contour_34.inputPortByName['cmap'].widget.set("prism", run=False) Contour_34.inputPortByName['colors'].widget.set("lightsalmon", run=False) apply(Contour_34.configure, (), {'expanded': True}) except: print "WARNING: failed to restore ContourNE named Contour in network masterNet" print_exc() Contour_34=None try: ## saving node ReadTable ## from Vision.StandardNodes import ReadTable ReadTable_37 = ReadTable(constrkw = {}, name='ReadTable', library=stdlib) masterNet.addNode(ReadTable_37,124,12) ReadTable_37.inputPortByName['filename'].widget.set("Data/contour_data_3.dat", run=False) ReadTable_37.inputPortByName['sep'].widget.set(",", run=False) ReadTable_37.inputPortByName['datatype'].widget.set("float", run=False) apply(ReadTable_37.configure, (), {'expanded': True}) except: print "WARNING: failed to restore ReadTable named ReadTable in network masterNet" print_exc() ReadTable_37=None try: ## saving node As Type ## from Vision.StandardNodes import AsType As_Type_40 = AsType(constrkw = {}, name='As Type', library=stdlib) masterNet.addNode(As_Type_40,145,192) except: print "WARNING: failed to restore AsType named As Type in network masterNet" print_exc() As_Type_40=None try: ## saving node ColorBar ## from Vision.matplotlibNodes import ColorBarNE ColorBar_41 = ColorBarNE(constrkw = {}, name='ColorBar', library=matplotliblib) masterNet.addNode(ColorBar_41,205,406) except: print "WARNING: failed to restore ColorBarNE named ColorBar in network masterNet" print_exc() ColorBar_41=None masterNet.freeze() ## saving connections for network ColorBar ## if ReadTable_37 is not None and As_Type_40 is not None: try: masterNet.connectNodes( ReadTable_37, As_Type_40, "data", "inArrayList", blocking=True) except: print "WARNING: failed to restore connection between ReadTable_37 and As_Type_40 in network masterNet" if As_Type_40 is not None and Contour_34 is not None: try: masterNet.connectNodes( As_Type_40, Contour_34, "outArray", "arraylistz", blocking=True) except: print "WARNING: failed to restore connection between As_Type_40 and Contour_34 in network masterNet" if Contour_34 is not None and ColorBar_41 is not None: try: masterNet.connectNodes( Contour_34, ColorBar_41, "axes", "plot", blocking=True) except: print "WARNING: failed to restore connection between Contour_34 and ColorBar_41 in network masterNet" if Contour_34 is not None and ColorBar_41 is not None: try: masterNet.connectNodes( Contour_34, ColorBar_41, "contour", "current_image", blocking=True) except: print "WARNING: failed to restore connection between Contour_34 and ColorBar_41 in network masterNet" masterNet.unfreeze() #masterNet.run()