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How to use Input method in fMBT
Best Python code snippet using fMBT_python
BeforeInputEventPlugin-test.js
Source:BeforeInputEventPlugin-test.js 
...698 const node = ReactDOM.render(699 <input700 type="text"701 onBeforeInput={({type, data}) => {702 spyOnBeforeInput();703 beforeInputEvent = {type, data};704 }}705 onCompositionStart={({type, data}) => {706 spyOnCompositionStart();707 compositionStartEvent = {type, data};708 }}709 onCompositionUpdate={({type, data}) => {710 spyOnCompositionUpdate();711 compositionUpdateEvent = {type, data};712 }}713 />,714 container,715 );716 scenes.forEach((s, id) => {717 beforeInputEvent = null;718 compositionStartEvent = null;719 compositionUpdateEvent = null;720 spyOnBeforeInput = jest.fn();721 spyOnCompositionStart = jest.fn();722 spyOnCompositionUpdate = jest.fn();723 s.eventSimulator.apply(null, [node, ...s.eventSimulatorArgs]);724 env.assertions[id].run({725 beforeInputEvent,726 compositionStartEvent,727 compositionUpdateEvent,728 spyOnBeforeInput,729 spyOnCompositionStart,730 spyOnCompositionUpdate,731 });732 });733 };734 const testContentEditableComponent = (env, scenes) => {735 let beforeInputEvent;736 let compositionStartEvent;737 let compositionUpdateEvent;738 let spyOnBeforeInput;739 let spyOnCompositionStart;740 let spyOnCompositionUpdate;741 ReactDOM = loadReactDOM(env.emulator);742 const node = ReactDOM.render(743 <div744 contentEditable={true}745 onBeforeInput={({type, data}) => {746 spyOnBeforeInput();747 beforeInputEvent = {type, data};748 }}749 onCompositionStart={({type, data}) => {750 spyOnCompositionStart();751 compositionStartEvent = {type, data};752 }}753 onCompositionUpdate={({type, data}) => {754 spyOnCompositionUpdate();755 compositionUpdateEvent = {type, data};756 }}757 />,758 container,759 );760 scenes.forEach((s, id) => {...
Microsoft.py
Source:Microsoft.py
1from ReadInput import getClosingPrices2from Input_Variables import exponentialMovingAverage,inputRdp,trainingOutputRdp_5,changeInPrice,scale3from sklearn import svm,preprocessing4import numpy as np5from Output_Variables import calculateCorrectPredictions6pathOfMicrosoft = '/home/Documents/dataset/MS'7datePriceDictionary = getClosingPrices(pathOfMicrosoft,'MicrosoftTraining.xlsx')8initialPriceDictionary = getClosingPrices(pathOfMicrosoft,'Training.xlsx')9last5PriceDictionary = getClosingPrices(pathOfMicrosoft,'Last5Days.xlsx')10dateList = datePriceDictionary.keys()11closingPriceList = datePriceDictionary.values()12initialPriceValues = initialPriceDictionary.values()13SVM_trainingInput = []14SVM_trainingOutputValues = []15SVM_trainingOutputClasses = []16SVM_trainingOutputClasses.append(1)17last5List = last5PriceDictionary.values()18changeInPrice(closingPriceList,SVM_trainingOutputClasses)19sumClosingPrices = 0.020for iter in xrange(5,20):21 sumClosingPrices = sumClosingPrices+float(initialPriceValues[iter])22simpleMovingAverage = sumClosingPrices/float(15)23emaYesterDay = simpleMovingAverage24emaList = []25for i in xrange(0,closingPriceList.__len__()):26 ema_15 = exponentialMovingAverage(closingPriceList[i],15,emaYesterDay)27 emaList.append(ema_15)28 emaYesterDay= ema_1529emaLastList = []30for j in xrange(0,5):31 ema_15Last = exponentialMovingAverage(last5List[j],15,emaYesterDay)32 emaLastList.append(ema_15Last)33ema_15_Input_List = []34rdp_5_Input_List = []35rdp_10_Input_List = []36rdp_15_Input_List = []37rdp_20_Input_List = []38for iterator in xrange(0,closingPriceList.__len__()):39 ema15Input = closingPriceList[iterator] - emaList[iterator]40 ema_15_Input_List.append(ema15Input)41 if iterator<5:42 rdp_5_Input = inputRdp(closingPriceList[iterator],initialPriceValues[iterator+15])43 rdp_5_Input_List.append(rdp_5_Input)44 rdp_10_Input = inputRdp(closingPriceList[iterator],initialPriceValues[iterator+10])45 rdp_10_Input_List.append(rdp_10_Input)46 rdp_15_Input = inputRdp(closingPriceList[iterator],initialPriceValues[iterator+5])47 rdp_15_Input_List.append(rdp_15_Input)48 rdp_20_Input = inputRdp(closingPriceList[iterator],initialPriceValues[iterator])49 rdp_20_Input_List.append(rdp_20_Input)50 elif iterator<10:51 rdp_5_Input = inputRdp(closingPriceList[iterator],closingPriceList[iterator-5])52 rdp_5_Input_List.append(rdp_5_Input)53 rdp_10_Input = inputRdp(closingPriceList[iterator],initialPriceValues[iterator+10])54 rdp_10_Input_List.append(rdp_10_Input)55 rdp_15_Input = inputRdp(closingPriceList[iterator],initialPriceValues[iterator+5])56 rdp_15_Input_List.append(rdp_15_Input)57 rdp_20_Input = inputRdp(closingPriceList[iterator],initialPriceValues[iterator])58 rdp_20_Input_List.append(rdp_20_Input)59 elif iterator<15:60 rdp_5_Input = inputRdp(closingPriceList[iterator],closingPriceList[iterator-5])61 rdp_5_Input_List.append(rdp_5_Input)62 rdp_10_Input = inputRdp(closingPriceList[iterator],closingPriceList[iterator-10])63 rdp_10_Input_List.append(rdp_10_Input)64 rdp_15_Input = inputRdp(closingPriceList[iterator],initialPriceValues[iterator+5])65 rdp_15_Input_List.append(rdp_15_Input)66 rdp_20_Input = inputRdp(closingPriceList[iterator],initialPriceValues[iterator])67 rdp_20_Input_List.append(rdp_20_Input)68 elif iterator<20:69 rdp_5_Input = inputRdp(closingPriceList[iterator],closingPriceList[iterator-5])70 rdp_5_Input_List.append(rdp_5_Input)71 rdp_10_Input = inputRdp(closingPriceList[iterator],closingPriceList[iterator-10])72 rdp_10_Input_List.append(rdp_10_Input)73 rdp_15_Input = inputRdp(closingPriceList[iterator],closingPriceList[iterator-15])74 rdp_15_Input_List.append(rdp_15_Input)75 rdp_20_Input = inputRdp(closingPriceList[iterator],initialPriceValues[iterator])76 rdp_20_Input_List.append(rdp_20_Input)77 else:78 rdp_5_Input = inputRdp(closingPriceList[iterator],closingPriceList[iterator-5])79 rdp_5_Input_List.append(rdp_5_Input)80 rdp_10_Input = inputRdp(closingPriceList[iterator],closingPriceList[iterator-10])81 rdp_10_Input_List.append(rdp_10_Input)82 rdp_15_Input = inputRdp(closingPriceList[iterator],closingPriceList[iterator-15])83 rdp_15_Input_List.append(rdp_15_Input)84 rdp_20_Input = inputRdp(closingPriceList[iterator],closingPriceList[iterator-20])85 rdp_20_Input_List.append(rdp_20_Input)86closingPriceListLength = closingPriceList.__len__()87for itr1 in xrange(0,closingPriceListLength):88 if itr1 == 0:89 rdp_5_Output = trainingOutputRdp_5(closingPriceList[itr1],closingPriceList[itr1+5],simpleMovingAverage,emaList[itr1+4])90 SVM_trainingOutputValues.append(rdp_5_Output)91 elif itr1 < (closingPriceListLength-5):92 rdp_5_Output = trainingOutputRdp_5(closingPriceList[itr1],closingPriceList[itr1+5],emaList[itr1-1],emaList[itr1+4])93 SVM_trainingOutputValues.append(rdp_5_Output)94 else:95 rdp_5_Output = trainingOutputRdp_5(closingPriceList[itr1],last5List[abs(closingPriceListLength-iterator-5)],emaList[itr1-1],emaLastList[abs(closingPriceListLength-iterator-5)])96 SVM_trainingOutputValues.append(rdp_5_Output)97print 'DEBUGGING:',ema_15_Input_List.__len__()98'''preprocessing.scale(ema_15_Input_List)99preprocessing.scale(rdp_5_Input_List)100preprocessing.scale(rdp_10_Input_List)101preprocessing.scale(rdp_15_Input_List)102preprocessing.scale(rdp_20_Input_List)'''103for count in xrange(0,ema_15_Input_List.__len__()):104 rowWiseInputList = []105 rowWiseInputList.append(ema_15_Input_List[count])106 rowWiseInputList.append(rdp_5_Input_List[count])107 rowWiseInputList.append(rdp_10_Input_List[count])108 rowWiseInputList.append(rdp_15_Input_List[count])109 rowWiseInputList.append(rdp_20_Input_List[count])110 SVM_trainingInput.append(rowWiseInputList)111testingDictionary = getClosingPrices(pathOfMicrosoft,'MicrosoftTesting.xlsx')112testingInputValues = testingDictionary.values()113emaTestList = []114emaOld=emaList[emaList.__len__()-1]115for it in xrange(0,testingInputValues.__len__()):116 emaTest = exponentialMovingAverage(testingInputValues[it],15,emaOld)117 emaTestList.append(emaTest)118 emaOld=emaTest119ema_15_Test_List = []120rdp_5_Test_List = []121rdp_10_Test_List = []122rdp_15_Test_List = []123rdp_20_Test_List = []124closingPricesLast_20_daysList = []125for itr2 in xrange(closingPriceList.__len__()-20,closingPriceList.__len__()):126 closingPricesLast_20_daysList.append(closingPriceList[itr2])127for iterator_1 in xrange(0,testingInputValues.__len__()):128 ema_15TestInput = testingInputValues[iterator_1] - emaTestList[iterator_1]129 ema_15_Test_List.append(ema_15TestInput)130 if iterator_1 < 5:131 rdp_5_test = inputRdp(testingInputValues[iterator_1],closingPricesLast_20_daysList[iterator_1+15])132 rdp_5_Test_List.append(rdp_5_test)133 rdp_10_test = inputRdp(testingInputValues[iterator_1],closingPricesLast_20_daysList[iterator_1+10])134 rdp_10_Test_List.append(rdp_10_test)135 rdp_15_test = inputRdp(testingInputValues[iterator_1],closingPricesLast_20_daysList[iterator_1+5])136 rdp_15_Test_List.append(rdp_15_test)137 rdp_20_Test = inputRdp(testingInputValues[iterator_1],closingPricesLast_20_daysList[iterator_1])138 rdp_20_Test_List.append(rdp_20_Test)139 elif iterator_1<10:140 rdp_5_test = inputRdp(testingInputValues[iterator_1],testingInputValues[iterator_1-5])141 rdp_5_Test_List.append(rdp_5_test)142 rdp_10_test = inputRdp(testingInputValues[iterator_1],closingPricesLast_20_daysList[iterator_1+10])143 rdp_10_Test_List.append(rdp_10_test)144 rdp_15_test = inputRdp(testingInputValues[iterator_1],closingPricesLast_20_daysList[iterator_1+5])145 rdp_15_Test_List.append(rdp_15_test)146 rdp_20_Test = inputRdp(testingInputValues[iterator_1],closingPricesLast_20_daysList[iterator_1])147 rdp_20_Test_List.append(rdp_20_Test)148 elif iterator_1<15:149 rdp_5_test = inputRdp(testingInputValues[iterator_1],testingInputValues[iterator_1-5])150 rdp_5_Test_List.append(rdp_5_test)151 rdp_10_test = inputRdp(testingInputValues[iterator_1],testingInputValues[iterator_1-10])152 rdp_10_Test_List.append(rdp_10_test)153 rdp_15_test = inputRdp(testingInputValues[iterator_1],closingPricesLast_20_daysList[iterator_1+5])154 rdp_15_Test_List.append(rdp_15_test)155 rdp_20_Test = inputRdp(testingInputValues[iterator_1],closingPricesLast_20_daysList[iterator_1])156 rdp_20_Test_List.append(rdp_20_Test)157 elif iterator_1<20:158 rdp_5_test = inputRdp(testingInputValues[iterator_1],testingInputValues[iterator_1-5])159 rdp_5_Test_List.append(rdp_5_test)160 rdp_10_test = inputRdp(testingInputValues[iterator_1],testingInputValues[iterator_1-10])161 rdp_10_Test_List.append(rdp_10_test)162 rdp_15_test = inputRdp(testingInputValues[iterator_1],testingInputValues[iterator_1-15])163 rdp_15_Test_List.append(rdp_15_test)164 rdp_20_Test = inputRdp(testingInputValues[iterator_1],closingPricesLast_20_daysList[iterator_1])165 rdp_20_Test_List.append(rdp_20_Test)166 else:167 rdp_5_test = inputRdp(testingInputValues[iterator_1],testingInputValues[iterator_1-5])168 rdp_5_Test_List.append(rdp_5_test)169 rdp_10_test = inputRdp(testingInputValues[iterator_1],testingInputValues[iterator_1-10])170 rdp_10_Test_List.append(rdp_10_test)171 rdp_15_test = inputRdp(testingInputValues[iterator_1],testingInputValues[iterator_1-15])172 rdp_15_Test_List.append(rdp_15_test)173 rdp_20_Test = inputRdp(testingInputValues[iterator_1],testingInputValues[iterator_1-20])174 rdp_20_Test_List.append(rdp_20_Test)175'''preprocessing.scale(ema_15_Test_List)176preprocessing.scale(rdp_5_Test_List)177preprocessing.scale(rdp_10_Test_List)178preprocessing.scale(rdp_15_Test_List)179preprocessing.scale(rdp_20_Test_List)'''180#-------------------------------------------------------181minMaxScaler = preprocessing.MinMaxScaler(feature_range=(-0.9,0.9))182minMaxScaler.fit(SVM_trainingInput)183SVM_trainingInputScaled = minMaxScaler.transform(SVM_trainingInput)184print 'SVM_trainingInputScaled' ,SVM_trainingInputScaled185#--------------------------------------------------------186SVR_TestList = []187for count1 in xrange(0,ema_15_Test_List.__len__()):188 rowWiseTestList = []189 rowWiseTestList.append(ema_15_Test_List[count1])190 rowWiseTestList.append(rdp_5_Test_List[count1])191 rowWiseTestList.append(rdp_10_Test_List[count1])192 rowWiseTestList.append(rdp_15_Test_List[count1])193 rowWiseTestList.append(rdp_20_Test_List[count1])194 SVR_TestList.append(rowWiseTestList)195SVR_TestListExpectedOutput = []196SVR_TestListExpectedOutput.append(1)197changeInPrice(testingInputValues,SVR_TestListExpectedOutput)198#----------------------------------------------Classification----------------------------------------------199#temp = np.array(SVM_trainingInput)200#myGamma = 1/float(np.power(np.var(SVM_trainingInput),2))201#------------------------------------------------------------202minMaxScaler.fit(SVR_TestList)203SVR_TestListScaled = minMaxScaler.transform(SVR_TestList)204#------------------------------------------------------------205classifier = svm.SVC(kernel='rbf',gamma=1/10.0)206classifier.fit(SVM_trainingInputScaled,SVM_trainingOutputClasses)207y = classifier.predict(SVR_TestList)208regression = svm.SVR(kernel='poly',coef0=3,degree=1)#(kernel='rbf',gamma=1/1000.0)209scale(SVM_trainingOutputValues)210regression.fit(SVM_trainingInput,SVM_trainingOutputValues)211print 'SVROUTPUTTRAINING::',SVM_trainingOutputValues212print 'SVRTEST::',SVR_TestList213z = regression.predict(SVR_TestList)214z = np.array(z).tolist()215print z216predictedList = []217predictedList.append(1)218changeInPrice(z,predictedList)219print 'SVR_TestListLength:',SVR_TestList.__len__()220print 'Expected Value:',SVR_TestListExpectedOutput221print 'Predicted::',predictedList222numberOfCorrectPredictions,probabiltyOfCorrectPredictions = calculateCorrectPredictions(SVR_TestListExpectedOutput,predictedList)223print 'NUMBER OF CORRECT CLASSIFICATIONS::',numberOfCorrectPredictions...
input.js
Source:input.js
...202 e.preventDefault();203 app.input.validate($inputEl);204 }205 }206 function clearInput() {207 const $clicked = $(this);208 const $inputEl = $clicked.siblings('input, textarea').eq(0);209 const previousValue = $inputEl.val();210 $inputEl211 .val('')212 .trigger('input change')213 .focus()214 .trigger('input:clear', previousValue);215 }216 $(document).on('click', '.input-clear-button', clearInput);217 $(document).on('change input', 'input, textarea, select', onChange, true);218 $(document).on('focus', 'input, textarea, select', onFocus, true);219 $(document).on('blur', 'input, textarea, select', onBlur, true);220 $(document).on('invalid', 'input, textarea, select', onInvalid, true);...
t.py
Source:t.py
1import math2from tkinter import *3from PIL import ImageTk, Image4import matplotlib.pyplot as plt5from scipy. integrate import odeint6import numpy as np7mu0 = 4 * math.pi * (10 ** (-7))8tau = 1.7759l = 3.510wc = 1411wr = 2412delta = 0.06513Rc = 114Rr = 215Lcs = 0.0012616Lrs = 0.00126*217J = 0.118p = 219D = 2*tau/math.pi*p20pi = math.pi21kcc = p*(4*wc*wc*tau*l*mu0)/(pi*delta*pi)22krc = p*(4*wr*wc*tau*l*mu0)/(pi*delta*pi)23krr = p*(4*wr*wr*tau*l*mu0)/(pi*delta*pi)24t_max = 425t_del = 50000026t = np.linspace(0, t_max, t_del)27y0 = [0, 0, 0, 0, 0, 0, 0, 0]28Uc = 40029fc = 5030phic = 031def B_delta(Ica, Icb, Icc, Ira, Irb, Irc, x, phi):32 return (2*mu0/(math.pi*delta)*(wc*Ica*math.cos(math.pi/tau*x)+wc*Icb*math.cos(math.pi/tau*x-2*math.pi/3)+wc*Icc*math.cos(math.pi/tau*x+2*math.pi/3)+wr*Ira*math.cos(math.pi/tau*x-phi*p)+wr*Irb*math.cos(math.pi/tau*x-phi*p-2*math.pi/3)+wr*Irc*math.cos(math.pi/tau*x-phi*p+2*math.pi/3)))33def f(input_variable, t):34 main_det = [[-kcc*(math.sin(pi/2) - (-1)*math.sin(pi/6)) - Lcs, -kcc*(math.sin(pi/2 + 2*pi/3) - (-1)*math.sin(pi/6 - 2*pi/3)) + Lcs, -kcc*(math.sin(pi/2 - 2*pi/3) - (-1)*math.sin(pi/6 + 2*pi/3)), -krc*(math.sin(pi/2 + input_variable[7]*p) - (-1)*math.sin(pi/6 - input_variable[7]*p)), -krc*(math.sin(pi/2 + input_variable[7]*p + 2*pi/3) - (-1)*math.sin(pi/6 - input_variable[7]*p - 2*pi/3)), -krc*(math.sin(pi/2 + input_variable[7]*p - 2*pi/3) - (-1)*math.sin(pi/6 - input_variable[7]*p + 2*pi/3))],35 [-kcc*((-1)*math.sin(pi/6) - math.sin(-pi/6)), -kcc*((-1)*math.sin(pi/6 - 2*pi/3) - math.sin(-pi/6 - 2*pi/3)) - Lcs, -kcc*((-1)*math.sin(pi/6 + 2*pi/3) - math.sin(-pi/6 + 2*pi/3)) + Lcs, -krc*((-1)*math.sin(pi/6 - input_variable[7]*p) - math.sin(-pi/6 - input_variable[7]*p)), -krc*((-1)*math.sin(pi/6 - input_variable[7]*p - 2*pi/3) - math.sin(-pi/6 - input_variable[7]*p - 2*pi/3)), -krc*((-1)*math.sin(pi/6 - input_variable[7]*p + 2*pi/3) - math.sin(-pi/6 - input_variable[7]*p + 2*pi/3))],36 [-kcc*math.sin(-pi/6), -kcc*math.sin(-pi/6 - 2*pi/3), -kcc*math.sin(-pi/6 + 2*pi/3) - Lcs, -krc*math.sin(-pi/6 - input_variable[7]*p), -krc*math.sin(-pi/6 - input_variable[7]*p - 2*pi/3), -krc*math.sin(-pi/6 - input_variable[7]*p + 2*pi/3)],37 [-krc*math.sin(pi/2-input_variable[7]*p-0), -krc*math.sin(pi/2-input_variable[7]*p+2*pi/3), -krc*math.sin(pi/2-input_variable[7]*p-2*pi/3), -krr*math.sin(pi/2-0) - Lrs, -krr*math.sin(pi/2+2*pi/3), -krr*math.sin(pi/2-2*pi/3)],38 [-krc*(-1)*math.sin(pi/6+input_variable[7]*p-0), -krc*(-1)*math.sin(pi/6+input_variable[7]*p-2*pi/3), -krc*(-1)*math.sin(pi/6+input_variable[7]*p+2*pi/3), -krr*(-1)*math.sin(pi/6+0), -krr*(-1)*math.sin(pi/6-2*pi/3) - Lrs, -krr*(-1)*math.sin(pi/6+2*pi/3)],39 [-krc*math.sin(-pi/6+input_variable[7]*p-0), -krc*math.sin(-pi/6+input_variable[7]*p-2*pi/3), -krc*math.sin(-pi/6+input_variable[7]*p+2*pi/3), -krr*math.sin(-pi/6+0), -krr*math.sin(-pi/6-2*pi/3), -krr*math.sin(-pi/6+2*pi/3) - Lrs]40 ]41 own_matrix = [input_variable[0]*Rc + Uc*(math.sin(2*math.pi*fc*t + phic) - math.sin(2*math.pi*fc*t + phic - 2*pi/3)) - input_variable[1]*Rc + krc*p*input_variable[6]*(input_variable[3]*math.cos(pi/2 + input_variable[7]*p) + input_variable[4]*math.cos(pi/2 + input_variable[7]*p + 2*pi/3) + input_variable[5]*math.cos(pi/2 + input_variable[7]*p - 2*pi/3) + (-1)*input_variable[3]*math.cos(pi/6 - input_variable[7]*p) + (-1)*input_variable[4]*math.cos(pi/6 - input_variable[7]*p - 2*pi/3) + (-1)*input_variable[5]*math.cos(pi/6 - input_variable[7]*p + 2*pi/3)),42 input_variable[1]*Rc + Uc*(math.sin(2*math.pi*fc*t + phic - 2*pi/3) - math.sin(2*math.pi*fc*t + phic + 2*pi/3)) - input_variable[2]*Rc + krc*p*input_variable[6]*(input_variable[3]*math.cos(pi/6 - input_variable[7]*p) + input_variable[4]*math.cos(pi/6 - input_variable[7]*p - 2*pi/3) + input_variable[5]*math.cos(pi/6 - input_variable[7]*p + 2*pi/3) + input_variable[3]*math.cos(-pi/6 - input_variable[7]*p) + input_variable[4]*math.cos(-pi/6 - input_variable[7]*p - 2*pi/3) + input_variable[5]*math.cos(-pi/6 - input_variable[7]*p + 2*pi/3)),43 input_variable[2]*Rc + Uc*math.sin(2*math.pi*fc*t + phic + 2*pi/3) - krc*p*input_variable[6]*(input_variable[3]*math.cos(-pi/6 - input_variable[7]*p) + input_variable[4]*math.cos(-pi/6 - input_variable[7]*p - 2*pi/3) + input_variable[5]*math.cos(-pi/6 - input_variable[7]*p + 2*pi/3)),44 input_variable[3]*Rr-input_variable[6]*krc*p*(input_variable[0]*math.cos(pi/2-input_variable[7]*p)+input_variable[1]*math.cos(pi/2-input_variable[7]*p+2*pi/3)+input_variable[2]*math.cos(pi/2-input_variable[7]*p-2*pi/3)),45 input_variable[4]*Rr+input_variable[6]*krc*p*(-1)*(input_variable[0]*math.cos(pi/6+input_variable[7]*p)+input_variable[1]*math.cos(pi/6+input_variable[7]*p-2*pi/3)+input_variable[2]*math.cos(pi/6+input_variable[7]*p+2*pi/3)),46 input_variable[5]*Rr+input_variable[6]*krc*p*(input_variable[0]*math.cos(-pi/6+input_variable[7]*p)+input_variable[1]*math.cos(-pi/6+input_variable[7]*p-2*pi/3)+input_variable[2]*math.cos(-pi/6+input_variable[7]*p+2*pi/3))47 ]48 49 Melmag = D*l*wr*(input_variable[3]*B_delta(input_variable[0], input_variable[1], input_variable[2], input_variable[3], input_variable[4], input_variable[5], tau/pi*input_variable[7]*p-tau/2, input_variable[7])+input_variable[4]*B_delta(input_variable[0], input_variable[1], input_variable[2], input_variable[3], input_variable[4], input_variable[5], tau/pi*input_variable[7]*p+tau/6, input_variable[7])+input_variable[5]*B_delta(input_variable[0], input_variable[1], input_variable[2], input_variable[3], input_variable[4], input_variable[5], tau/pi*input_variable[7]*p-7*tau/6, input_variable[7]))50 derw = (-0*math.tanh(input_variable[6]) - p*Melmag)/J51 solve_matrix = np.linalg.solve(main_det, own_matrix)52 print(t/t_max*100)53 return [solve_matrix[0],54 solve_matrix[1],55 solve_matrix[2],56 solve_matrix[3],57 solve_matrix[4],58 solve_matrix[5],59 derw,60 input_variable[6]]61ww = odeint(f, y0, t)62m_f = []63for i in range(len(t)):64 m_f.append(ww[:, 6][i]/2/pi)65plt.subplot(3, 1, 1)66plt.plot(t, ww[:, 0], linewidth=1, color='red')67plt.xlabel('ÐÑемÑ, Ñ', fontsize=12, color='black')68plt.ylabel('Ток ÑÑаÑоÑа, Ð', fontsize=12, color='black')69plt.grid(True)70plt.subplot(3, 1, 2)71plt.plot(t, ww[:, 3], linewidth=1, color='red')72plt.xlabel('ÐÑемÑ, Ñ', fontsize=12, color='black')73plt.ylabel('Ток ÑоÑоÑа, Ð', fontsize=12, color='black')74plt.grid(True)75plt.subplot(3, 1, 3)76plt.plot(t, m_f, linewidth=1, color='red')77plt.xlabel('ÐÑемÑ, Ñ', fontsize=12, color='black')78plt.ylabel('ЧаÑÑоÑа, ÐÑ', fontsize=12, color='black')79plt.grid(True)80plt.show()81[-kcc*(math.sin(pi/2)-(-1)*math.sin(pi/6)-math.sin(pi/2-2*pi/3)+(-1)*math.sin(pi/6+2*pi/3))-Lcs, -kcc*(math.sin(pi/2+2*pi/3)-(-1)*math.sin(pi/6-2*pi/3)-math.sin(pi/2-2*pi/3)+(-1)*math.sin(pi/6+2*pi/3))+Lcs, -krc*(math.sin(pi/2 + input_variable[6]*p) - (-1)*math.sin(pi/6 - input_variable[6]*p)), -krc*(math.sin(pi/2 + input_variable[6]*p + 2*pi/3) - (-1)*math.sin(pi/6 - input_variable[6]*p - 2*pi/3)), -krc*(math.sin(pi/2 + input_variable[6]*p - 2*pi/3) - (-1)*math.sin(pi/6 - input_variable[6]*p + 2*pi/3))],82[-kcc*((-1)*math.sin(pi/6)-math.sin(-pi/6)-(-1)*math.sin(pi/6+2*pi/3)+math.sin(-pi/6+2*pi/3))-Lcs, -kcc*((-1)*math.sin(pi/6-2*pi/3)-math.sin(-pi/6-2*pi/3)-(-1)*math.sin(pi/6+2*pi/3)+math.sin(-pi/6+2*pi/3))-Lcs-Lcs, -krc*((-1)*math.sin(pi/6 - input_variable[6]*p) - math.sin(-pi/6 - input_variable[6]*p)), -krc*((-1)*math.sin(pi/6 - input_variable[6]*p - 2*pi/3) - math.sin(-pi/6 - input_variable[6]*p - 2*pi/3)), -krc*((-1)*math.sin(pi/6 - input_variable[6]*p + 2*pi/3) - math.sin(-pi/6 - input_variable[6]*p + 2*pi/3))],83[-krc*(math.sin(pi/2-input_variable[6]*p-0)-math.sin(pi/2-input_variable[6]*p-2*pi/3)), -krc*(math.sin(pi/2-input_variable[6]*p+2*pi/3)-math.sin(pi/2-input_variable[6]*p-2*pi/3)), -krr*math.sin(pi/2-0) - Lrs, -krr*math.sin(pi/2+2*pi/3), -krr*math.sin(pi/2-2*pi/3)],84[-krc*((-1)*math.sin(pi/6+input_variable[6]*p-0)-(-1)*math.sin(pi/6+input_variable[6]*p+2*pi/3)), -krc*((-1)*math.sin(pi/6+input_variable[6]*p-2*pi/3)-(-1)*math.sin(pi/6+input_variable[6]*p+2*pi/3)), -krr*(-1)*math.sin(pi/6+0), -krr*(-1)*math.sin(pi/6-2*pi/3) - Lrs, -krr*(-1)*math.sin(pi/6+2*pi/3)],85[-krc*(math.sin(-pi/6+input_variable[6]*p-0)-math.sin(-pi/6+input_variable[6]*p+2*pi/3)), -krc*(math.sin(-pi/6+input_variable[6]*p-2*pi/3)-math.sin(-pi/6+input_variable[6]*p+2*pi/3)), -krr*math.sin(-pi/6+0), -krr*math.sin(-pi/6-2*pi/3), -krr*math.sin(-pi/6+2*pi/3) - Lrs]86[input_variable[0]*Rc - input_variable[1]*Rc + krc*p*input_variable[5]*(input_variable[2]*math.cos(pi/2 + input_variable[6]*p) + input_variable[3]*math.cos(pi/2 + input_variable[6]*p + 2*pi/3) + input_variable[4]*math.cos(pi/2 + input_variable[6]*p - 2*pi/3) + (-1)*input_variable[2]*math.cos(pi/6 - input_variable[6]*p) + (-1)*input_variable[3]*math.cos(pi/6 - input_variable[6]*p - 2*pi/3) + (-1)*input_variable[4]*math.cos(pi/6 - input_variable[6]*p + 2*pi/3)),87input_variable[1]*Rc - (-input_variable[0]-input_variable[1])*Rc + krc*p*input_variable[5]*(input_variable[2]*math.cos(pi/6 - input_variable[6]*p) + input_variable[3]*math.cos(pi/6 - input_variable[6]*p - 2*pi/3) + input_variable[4]*math.cos(pi/6 - input_variable[6]*p + 2*pi/3) + input_variable[2]*math.cos(-pi/6 - input_variable[6]*p) + input_variable[3]*math.cos(-pi/6 - input_variable[6]*p - 2*pi/3) + input_variable[4]*math.cos(-pi/6 - input_variable[6]*p + 2*pi/3)),88input_variable[2]*Rr-input_variable[5]*krc*p*(input_variable[0]*math.cos(pi/2-input_variable[6]*p)+input_variable[1]*math.cos(pi/2-input_variable[6]*p+2*pi/3)+(-input_variable[0]-input_variable[1])*math.cos(pi/2-input_variable[6]*p-2*pi/3)),89input_variable[3]*Rr+input_variable[5]*krc*p*(-1)*(input_variable[0]*math.cos(pi/6+input_variable[6]*p)+input_variable[1]*math.cos(pi/6+input_variable[6]*p-2*pi/3)+(-input_variable[0]-input_variable[1])*math.cos(pi/6+input_variable[6]*p+2*pi/3)),90input_variable[4]*Rr+input_variable[5]*krc*p*(input_variable[0]*math.cos(-pi/6+input_variable[6]*p)+input_variable[1]*math.cos(-pi/6+input_variable[6]*p-2*pi/3)+(-input_variable[0]-input_variable[1])*math.cos(-pi/6+input_variable[6]*p+2*pi/3))...
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