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-rw-r--r--Streams.py465
1 files changed, 465 insertions, 0 deletions
diff --git a/Streams.py b/Streams.py
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index 0000000..999a97e
--- /dev/null
+++ b/Streams.py
@@ -0,0 +1,465 @@
+import json
+import sys,os
+
+from PyQt5.QtCore import *
+from ComponentSelector import compound_selected
+
+class MaterialStream():
+ counter = 1
+ def __init__(self, compound_names = []):
+
+ self.name = 'MaterialStream' + str(MaterialStream.counter)
+ self.type = 'MaterialStream'
+
+ self.compound_names = compound_names
+ self.count = MaterialStream.counter
+ self.thermo_package ="RaoultsLaw"
+ self.mode1 = "P"
+ self.mode2 = "T"
+
+ self.mode1_val = ""
+ self.mode2_val = ""
+ self.OM_data_init = ''
+ self.OM_data_eqn = ''
+ self.no_of_inputs = 1
+ self.no_of_outputs = 1
+ self.x = 2500-30
+ self.y = 2500-30
+ self.pos = QPointF(self.x, self.y)
+ MaterialStream.counter+=1
+ self.start_dict = {}
+ self.eqn_dict = {}
+ self.modes_list = ["PT", "PH", "PVF", "TVF", "PS"]
+ self.saved = False
+ self.mode = self.modes_list[0]
+
+ self.variables = {
+ 'P' : {'name':'Pressure', 'value':101325, 'unit':'Pa'},
+ 'T' : {'name':'Temperature', 'value':300, 'unit':'K'},
+
+ 'xvap' : {'name':'Vapour Mole Fraction', 'value':None, 'unit':''},
+ 'H_p[1]' : {'name':'Mixture Molar Enthalpy', 'value':None, 'unit':'J/mol'},
+ 'S_p[1]' : {'name':'Mixture Molar Entropy', 'value':None, 'unit':'J/mol.K'},
+ 'F_p[1]' : {'name':'Mixture Molar Flow', 'value':100, 'unit':'mol/s'},
+ 'Fm_p[1]' : {'name':'Mixture Mass Flow', 'value':None, 'unit':'g/s'},
+
+ 'H_p[2]' : {'name':'Liquid Molar Enthalpy', 'value':None, 'unit':'J/mol'},
+ 'S_p[2]' : {'name':'Liquid Molar Entropy', 'value':None, 'unit':'J/mol.K'},
+ 'F_p[2]' : {'name':'Liquid Molar Flow', 'value':None, 'unit':'mol/s'},
+
+ 'H_p[3]' : {'name':'Vapour Molar Enthalpy', 'value':None, 'unit':'J/mol'},
+ 'S_p[3]' : {'name':'Vapour Molar Entropy', 'value':None, 'unit':'J/mol.K'},
+ 'F_p[3]' : {'name':'Vapour Molar Flow', 'value':None, 'unit':'mol/s'},
+
+ 'x_pc' : {'name':'Mole Fraction', 'value':[], 'unit':''},
+ 'xm_pc' : {'name':'Mass Fraction', 'value':None, 'unit':''},
+
+ 'F_pc' : {'name':'Mole Flow', 'value':100, 'unit':'mol/s'},
+ 'Fm_pc' : {'name':'Mass Flow', 'value':None, 'unit':'g/s'},
+ }
+ self.init_variables()
+
+ def update_compounds(self):
+ self.compound_names = compound_selected
+
+ def init_variables(self):
+ Nc = len(self.compound_names)
+ for i, val in enumerate(self.compound_names):
+ self.variables['x_pc[1,'+ str(i+1)+']'] = {'name':val + ' Mixture Mole Fraction', 'value':round(1/Nc,4), 'unit':''}
+ self.variables['xm_pc[1,'+ str(i+1)+']'] = {'name':val + ' Mixture Mass Fraction', 'value':None, 'unit':''}
+ self.variables['F_pc[1,'+ str(i+1)+']'] = {'name':val + ' Mixture Mole Flow', 'value':None, 'unit':'mol/s'}
+ self.variables['Fm_pc[1,'+ str(i+1)+']'] = {'name':val + ' Mixture Mass Flow', 'value':None, 'unit':'g/s'}
+
+ self.variables['x_pc[2,'+ str(i+1)+']'] = {'name':[val + ' Liquid Mole Fraction'], 'value':None, 'unit':''}
+ self.variables['xm_pc[2,'+ str(i+1)+']'] = {'name':[val + ' Liquid Mass Fraction'], 'value':None, 'unit':''}
+ self.variables['F_pc[2,'+ str(i+1)+']'] = {'name':[val + ' Liquid Mole Flow'], 'value':None, 'unit':'mol/s'}
+ self.variables['Fm_pc[2,'+ str(i+1)+']'] = {'name':[val + ' Liquid Mass Flow'], 'value':None, 'unit':'g/s'}
+
+ self.variables['x_pc[3,'+ str(i+1)+']'] = {'name':[val + ' Vapour Mole Fraction'], 'value':None, 'unit':''}
+ self.variables['xm_pc[3,'+ str(i+1)+']'] = {'name':[val + ' Vapour Mass Fraction'], 'value':None, 'unit':''}
+ self.variables['F_pc[3,'+ str(i+1)+']'] = {'name':[val + ' Vapour Mole Flow'], 'value':None, 'unit':'mol/s'}
+ self.variables['Fm_pc[3,'+ str(i+1)+']'] = {'name':[val + ' Vapour Mass Flow'], 'value':None, 'unit':'g/s'}
+
+ for i in self.compound_names:
+ self.variables[i] = {'value':''}
+
+ def param_getter_tooltip(self,mode):
+ dict = {}
+
+ temp = []
+ for i, val in enumerate(self.compound_names):
+ try:
+ temp.append(self.variables['x_pc[1,' + str(i+1) + ']']['value'])
+ except:
+ pass
+ self.variables['x_pc']['value'] = temp
+
+ if(mode=="PT"):
+ self.mode1 = 'P'
+ self.mode2 = 'T'
+ mode1_n = self.variables['P']['name']
+ mode2_n = self.variables['T']['name']
+ dict = {mode1_n:str(self.variables['P']['value'])+' '+self.variables['P']['unit'],
+ mode2_n:str(self.variables['T']['value'])+' '+self.variables['T']['unit']}
+ elif(mode=="PH"):
+ self.mode1 = 'P'
+ self.mode2 = 'H_p[1]'
+ mode1_n = self.variables['P']['name']
+ mode2_n = self.variables['H_p[1]']['name']
+
+ dict = {mode1_n:str(self.variables['P']['value'])+' '+self.variables['P']['unit'],
+ mode2_n:str(self.variables['H_p[1]']['value'])+' '+self.variables['H_p[1]']['unit']}
+ elif(mode=="PVF"):
+ self.mode1 = 'P'
+ self.mode2 = 'xvap'
+ mode1_n = self.variables['P']['name']
+ mode2_n = self.variables['xvap']['name']
+
+ dict = {mode1_n:str(self.variables['P']['value'])+' '+self.variables['P']['unit'],
+ mode2_n:str(self.variables['xvap']['value'])+' '+self.variables['xvap']['unit']}
+ elif(mode=="TVF"):
+ self.mode1 = 'T'
+ self.mode2 = 'xvap'
+ mode1_n = self.variables['T']['name']
+ mode2_n = self.variables['xvap']['name']
+ dict = {mode1_n:str(self.variables['T']['value'])+' '+self.variables['T']['unit'],
+ mode2_n:str(self.variables['xvap']['value'])+' '+self.variables['xvap']['unit']}
+
+ elif(mode=="PS"):
+ self.mode1 = 'P'
+ self.mode2 = 'S_p[1]'
+ mode1_n = self.variables['P']['name']
+ mode2_n = self.variables['S_p[1]']['name']
+
+ dict = {mode1_n:str(self.variables['P']['value'])+' '+self.variables['P']['unit'],
+ mode2_n:str(self.variables['S_p[1]']['value'])+' '+self.variables['S_p[1]']['unit']}
+
+ dict['Mole Flow'] = str(self.variables['F_p[1]']['value'])+' '+self.variables['F_p[1]']['unit']
+ dict[self.variables['x_pc']['name']] = str(self.variables['x_pc']['value'])+' '+self.variables['x_pc']['unit']
+ dict['Thermo Package'] = self.thermo_package
+ return dict
+
+ def param_getter_tooltip_selectedVar(self):
+ dict = {}
+
+ pressure_name = self.variables['P']['name']
+ pressure_val = self.variables['P']['value']
+ pressure_unit = self.variables['P']['unit']
+ temp_name = self.variables['T']['name']
+ temp_val = self.variables['T']['value']
+ temp_unit = self.variables['T']['unit']
+ mixMolEntal_name = self.variables['H_p[1]']['name']
+ mixMolEntal_val = round(float(self.variables['H_p[1]']['value']),4)
+ mixMolEntal_unit = self.variables['H_p[1]']['unit']
+ mixMolEntro_name = self.variables['S_p[1]']['name']
+ mixMolEntro_val = round(float(self.variables['S_p[1]']['value']),4)
+ mixMolEntro_unit = self.variables['S_p[1]']['unit']
+ vapMolFrac_name = self.variables['xvap']['name']
+ vapMolFrac_val = self.variables['xvap']['value']
+ vapMolFrac_unit = self.variables['xvap']['unit']
+ mixMolFlo_name = self.variables['F_p[1]']['name']
+ mixMolFlo_val = self.variables['F_p[1]']['value']
+ mixMolFlo_unit = self.variables['F_p[1]']['unit']
+ mixMassFlo_name = self.variables['Fm_p[1]']['name']
+ mixMassFlo_val = round(float(self.variables['Fm_p[1]']['value']),4)
+ mixMassFlo_unit = self.variables['Fm_p[1]']['unit']
+
+ dict = {pressure_name:str(pressure_val)+' '+pressure_unit,
+ temp_name:str(temp_val)+' '+temp_unit,
+ vapMolFrac_name:str(vapMolFrac_val)+' '+vapMolFrac_unit,
+ mixMolEntal_name:str(mixMolEntal_val)+' '+mixMolEntal_unit,
+ mixMolEntro_name:str(mixMolEntro_val)+' '+mixMolEntro_unit,
+ mixMolFlo_name:str(mixMolFlo_val)+' '+mixMolFlo_unit,
+ mixMassFlo_name:str(mixMassFlo_val)+' '+mixMassFlo_unit}
+ return dict
+
+ def param_getter(self,mode):
+ dict = {}
+
+ temp = []
+ for i, val in enumerate(self.compound_names):
+ try:
+ temp.append(self.variables['x_pc[1,' + str(i+1) + ']']['value'])
+ except:
+ pass
+ self.variables['x_pc']['value'] = temp
+
+ pressure_val = self.variables['P']['value']
+ temp_val = self.variables['T']['value']
+ mixMolFlo_val = self.variables['F_p[1]']['value']
+ mixMolEntal_val = self.variables['H_p[1]']['value']
+ vapMolFrac_val = self.variables['xvap']['value']
+ mixMolEntro_val = self.variables['S_p[1]']['value']
+
+ if pressure_val != None:
+ pressure_val = round(float(self.variables['P']['value']),4)
+ if temp_val != None:
+ temp_val = round(float(self.variables['T']['value']),4)
+ if mixMolFlo_val != None:
+ mixMolFlo_val = round(float(self.variables['F_p[1]']['value']),4)
+ if mixMolEntal_val != None:
+ mixMolEntal_val = round(float(self.variables['H_p[1]']['value']),4)
+ if vapMolFrac_val != None:
+ vapMolFrac_val = round(float(self.variables['xvap']['value']),4)
+ if mixMolEntro_val != None:
+ mixMolEntro_val = round(float(self.variables['S_p[1]']['value']),4)
+ if(mode=="PT"):
+ self.mode1 = 'P'
+ self.mode2 = 'T'
+
+ dict = {self.mode1:pressure_val, self.mode2:temp_val,
+ "MolFlow":mixMolFlo_val,"x_pc":self.variables['x_pc']['value'],
+ "Thermo Package": self.thermo_package}
+ #print('dictionary is :' + str(dict))
+
+ elif(mode=="PH"):
+ self.mode1 = 'P'
+ self.mode2 = 'H_p[1]'
+ dict = {self.mode1:pressure_val, self.mode2:mixMolEntal_val,
+ "MolFlow":mixMolFlo_val, "x_pc":self.variables['x_pc']['value'],
+ "Thermo Package": self.thermo_package}
+ elif(mode=="PVF"):
+ self.mode1 = 'P'
+ self.mode2 = 'xvap'
+ dict = {self.mode1:pressure_val, self.mode2:vapMolFrac_val,
+ "MolFlow":mixMolFlo_val, "x_pc":self.variables['x_pc']['value'],
+ "Thermo Package": self.thermo_package}
+ elif(mode=="TVF"):
+ self.mode1 = 'T'
+ self.mode2 = 'xvap'
+ dict = {self.mode1:temp_val, self.mode2:vapMolFrac_val,
+ "MolFlow":mixMolFlo_val, "x_pc":self.variables['x_pc']['value'],
+ "Thermo Package": self.thermo_package}
+ elif(mode=="PS"):
+ self.mode1 = 'P'
+ self.mode2 = 'S_p[1]'
+ dict = {self.mode1:pressure_val, self.mode2: mixMolEntro_val,
+ "MolFlow":mixMolFlo_val, "x_pc":self.variables['x_pc']['value'],
+ "Thermo Package": self.thermo_package}
+
+ return dict
+
+ def param_setter(self,dict):
+ self.variables['x_pc']['value'] = dict['x_pc'].split(",")
+ #print('xpc is :' + str(self.variables['x_pc']['value']))
+ self.thermo_package = dict['Thermo Package']
+ self.variables['F_p[1]']['value'] = dict['MolFlow']
+ self.variables[self.mode1]['value'] = dict[self.mode1]
+ self.variables[self.mode2]['value'] = dict[self.mode2]
+
+ for i in range(len(self.compound_names)):
+ if self.variables['x_pc']['value'][i]:
+ self.variables['x_pc[1,'+str(i+1)+']']['value'] = self.variables['x_pc']['value'][i]
+ else:
+ self.variables['x_pc[1,'+str(i+1)+']']['value'] = None
+ self.variables['xm_pc[1,'+str(i+1)+']']['value'] = self.variables['xm_pc']['value']
+
+ self.variables['F_pc[1,'+str(i+1)+']']['value'] = None
+ self.variables['Fm_pc[1,'+str(i+1)+']']['value'] = None
+ for i in range(0,len(self.compound_names)):
+ self.variables['x_pc[2,'+str(i+1)+']']['value'] = None
+ self.variables['xm_pc[2,'+str(i+1)+']']['value'] = None
+ self.variables['F_pc[2,'+str(i+1)+']']['value'] = None
+ self.variables['Fm_pc[2,'+str(i+1)+']']['value'] = None
+
+ self.variables['x_pc[3,'+str(i+1)+']']['value'] = None
+ self.variables['xm_pc[3,'+str(i+1)+']']['value'] = None
+ self.variables['F_pc[3,'+str(i+1)+']']['value'] = None
+ self.variables['Fm_pc[3,'+str(i+1)+']']['value'] = None
+
+ def set_pos(self,pos):
+ self.pos = pos
+
+ def get_min_eqn_values(self):
+ x_pclist = []
+ for i in range(0,len(self.compound_names)):
+ x_pclist.append(self.variables['x_pc[1,'+str(i+1)+']']['value'])
+ x_pc = json.dumps(x_pclist)
+ x_pc = x_pc.replace('[','{')
+ x_pc = x_pc.replace(']','}')
+ x_pc = x_pc.replace('"','')
+
+ if self.variables[self.mode1]['value']:
+ self.eqn_dict[self.mode1] = self.variables[self.mode1]['value']
+ if self.variables[self.mode2]['value']:
+ self.eqn_dict[self.mode2] = self.variables[self.mode2]['value']
+ if self.variables['x_pc']['value']:
+ self.eqn_dict['x_pc[1,:]'] = x_pc
+ if self.variables['F_pc']['value']:
+ self.eqn_dict['F_p[1]'] = self.variables['F_p[1]']['value']
+
+ def get_start_values(self):
+ try:
+ if self.variables[self.mode1]['value']:
+ self.start_dict[self.mode1] = self.variables[self.mode1]['value']
+
+ if self.variables[self.mode2]['value']:
+ self.start_dict[self.mode2] = self.variables[self.mode2]['value']
+
+
+ if self.variables['x_pc[2,1]']['value'] != None:
+ x_pcarr = []
+ for i in range(1,4):
+ cmf = []
+ for j in range(1,len(self.compound_names)+1):
+ cmf.append(str(self.variables['x_pc['+str(i)+','+str(j)+']']['value']))
+ x_pcarr.append(cmf)
+ x_pcstr = json.dumps(x_pcarr)
+ x_pcstr = x_pcstr.replace('[','{')
+ x_pcstr = x_pcstr.replace(']','}')
+ x_pcstr = x_pcstr.replace('"','')
+ self.start_dict['x_pc'] = x_pcstr
+
+ if self.variables['xm_pc[2,1]']['value'] != None:
+ xm_pcarr = []
+ for i in range(1,4):
+ cmf = []
+ for j in range(1,len(self.compound_names)+1):
+ cmf.append(str(self.variables['xm_pc['+str(i)+','+str(j)+']']['value']))
+ xm_pcarr.append(cmf)
+ xm_pcstr = json.dumps(x_pcarr)
+ xm_pcstr = xm_pcstr.replace('[','{')
+ xm_pcstr = xm_pcstr.replace(']','}')
+ xm_pcstr = xm_pcstr.replace('"','')
+ self.start_dict['xm_pc'] = xm_pcstr
+
+ if self.variables['Fm_pc[2,1]']['value'] != None:
+ Fm_pcarr = []
+ for i in range(1,4):
+ cmf = []
+ for j in range(1,len(self.compound_names)+1):
+ cmf.append(str(self.variables['Fm_pc['+str(i)+','+str(j)+']']['value']))
+ Fm_pcarr.append(cmf)
+ Fm_pcstr = json.dumps(x_pcarr)
+ Fm_pcstr = Fm_pcstr.replace('[','{')
+ Fm_pcstr = Fm_pcstr.replace(']','}')
+ Fm_pcstr = Fm_pcstr.replace('"','')
+ self.start_dict['Fm_pc'] = Fm_pcstr
+
+ if self.variables['F_pc[2,1]']['value'] != None:
+ F_pcarr = []
+ for i in range(1,4):
+ cmf = []
+ for j in range(1,len(self.compound_names)+1):
+ cmf.append(str(self.variables['F_pc['+str(i)+','+str(j)+']']['value']))
+ F_pcarr.append(cmf)
+ F_pcstr = json.dumps(F_pcarr)
+ F_pcstr = F_pcstr.replace('[','{')
+ F_pcstr = F_pcstr.replace(']','}')
+ F_pcstr = F_pcstr.replace('"','')
+ self.start_dict['F_pc'] = F_pcstr
+
+ if self.variables['MW_p[2]']['value'] != None:
+ MW_pArr = []
+ for i in range(1,4):
+ MW_pArr.append(self.variables['MW_p['+str(i)+']']['value'])
+ MW_pStr = json.dumps(MW_pArr)
+ MW_pStr = MW_pStr.replace('[','{')
+ MW_pStr = MW_pStr.replace(']','}')
+ MW_pStr = MW_pStr.replace('"','')
+ self.start_dict['MW_p'] = MW_pStr
+
+ if self.variables['F_p[2]']['value'] != None:
+ F_pArr = []
+ for i in range(1,4):
+ F_pArr.append(self.variables['F_p['+str(i)+']']['value'])
+ F_pStr = json.dumps(F_pArr)
+ F_pStr = F_pStr.replace('[','{')
+ F_pStr = F_pStr.replace(']','}')
+ F_pStr = F_pStr.replace('"','')
+ self.start_dict['F_p'] = F_pStr
+
+ if self.variables['Cp_p[2]']['value'] != None:
+ Cp_pArr = []
+ for i in range(1,4):
+ Cp_pArr.append(self.variables['Cp_p['+str(i)+']']['value'])
+ Cp_pStr = json.dumps(Cp_pArr)
+ Cp_pStr = Cp_pStr.replace('[','{')
+ Cp_pStr = Cp_pStr.replace(']','}')
+ Cp_pStr = Cp_pStr.replace('"','')
+ self.start_dict['Cp_p'] = Cp_pStr
+
+ if self.variables['H_p[2]']['value'] != None:
+ H_pArr = []
+ for i in range(1,4):
+ H_pArr.append(self.variables['H_p['+str(i)+']']['value'])
+ H_pStr = json.dumps(H_pArr)
+ H_pStr = H_pStr.replace('[','{')
+ H_pStr = H_pStr.replace(']','}')
+ H_pStr = H_pStr.replace('"','')
+ self.start_dict['H_p'] = H_pStr
+
+
+ if self.variables['S_p[2]']['value'] != None:
+ S_pArr = []
+ for i in range(1,4):
+ S_pArr.append(self.variables['S_p['+str(i)+']']['value'])
+ S_pStr = json.dumps(S_pArr)
+ S_pStr = S_pStr.replace('[','{')
+ S_pStr = S_pStr.replace(']','}')
+ S_pStr = S_pStr.replace('"','')
+ self.start_dict['S_p'] = S_pStr
+
+ if self.variables['Fm_p[2]']['value'] != None:
+ Fm_pArr = []
+ for i in range(1,4):
+ Fm_pArr.append(self.variables['Fm_p['+str(i)+']']['value'])
+ Fm_pStr = json.dumps(Fm_pArr)
+ Fm_pStr = Fm_pStr.replace('[','{')
+ Fm_pStr = Fm_pStr.replace(']','}')
+ Fm_pStr = Fm_pStr.replace('"','')
+ self.start_dict['Fm_p'] = Fm_pStr
+
+ except Exception as e:
+ exc_type, exc_obj, exc_tb = sys.exc_info()
+ # print(exc_type,exc_tb.tb_lineno)
+ # print(e)
+ # print('error')
+
+ def OM_Flowsheet_Initialize(self,addedcomp):
+ self.OM_data_init = ''
+ self.OM_data_init = self.OM_data_init + ("model ms"+str(self.count)+"\n")
+ self.OM_data_init = self.OM_data_init + ("extends Simulator.Streams.MaterialStream;\n" )
+ self.OM_data_init = self.OM_data_init + ("extends Simulator.Files.ThermodynamicPackages."+self.thermo_package+";\n")
+ self.OM_data_init = self.OM_data_init + ("end ms"+str(self.count)+";\n")
+ comp_count = len(addedcomp)
+
+ self.OM_data_init = self.OM_data_init + "ms"+str(self.count) +" " + self.name +"(Nc = " + str(comp_count)
+ self.OM_data_init = self.OM_data_init + ",C = {"
+ C = str(addedcomp).strip('[').strip(']')
+ C = C.replace("'","")
+ self.OM_data_init = self.OM_data_init + C + "},"
+
+ self.OM_data_init = self.OM_data_init[:-1]
+ self.OM_data_init = self.OM_data_init + ');\n'
+ return self.OM_data_init
+
+ def OM_Flowsheet_Equation(self,addedcomp,method):
+ self.OM_data_eqn = ''
+ self.comp_count = len(addedcomp)
+ if method == 'Eqn':
+ self.eqn_dict = {}
+ self.get_min_eqn_values()
+ if method == 'SM':
+ self.eqn_dict = {}
+ self.get_min_eqn_values()
+
+ for key,value in self.eqn_dict.items():
+ self.OM_data_eqn = self.OM_data_eqn + self.name + '.'+ key + ' = ' + str(value) + ';\n'
+ return self.OM_data_eqn
+
+ def disableInputDataTab(self,dockwidget):
+ #setting the value of input data tab in dock widget and disabling them
+ dockwidget.comboBox.setDisabled(True)
+ dockwidget.input_dict['P'].setText(str(round(float(self.variables['P']['value']),4)))
+ dockwidget.input_dict['P'].setDisabled(True)
+ dockwidget.input_dict['T'].setText(str(round(float(self.variables['T']['value']),4)))
+ dockwidget.input_dict['T'].setDisabled(True)
+ dockwidget.input_dict['MolFlow'].setText(str(round(float(self.variables['F_p[1]']['value']),4)))
+ dockwidget.input_dict['MolFlow'].setDisabled(True)
+ dockwidget.cbTP.setCurrentText(str(self.thermo_package))
+ dockwidget.cbTP.setDisabled(True)
+ dockwidget.pushButton_2.setDisabled(True)
+ for index,k in enumerate(dockwidget.x_pclist):
+ k.setText(str(round(float(self.variables['x_pc[1,'+ str(index+1)+']']['value']),4)))
+ k.setDisabled(True)