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How to use selectrow method in pyatom

Best Python code snippet using pyatom_python

csvedit

Source:csvedit

1#!/usr/bin/python32import curses3import pandas as pd4import time5import os6import csv7import sys8from curses import wrapper9from math import nan10from curses import ascii11COLUMN_LENGTH_DEFAULT = 1212COLUMN_LENGTH_MIN = 413COLUMN_LENGTH_MAX = 4014#--First row of the table--15#CHRHEADERTOPLEFT = '\u2554' #CHRHEADERTOPMIDDLE = '\u2564' #CHRHEADERTOPLINE = '\u2550' #CHRHEADERTOPRIGHT = '\u2557'16CHRHEADERTOPLEFT = '\u250c'17CHRHEADERTOPMIDDLE = '\u252c'18CHRHEADERTOPLINE = '\u2500'19CHRHEADERTOPRIGHT = '\u2510'20#--Header line with column names--21#CHRHEADERDATALEFT = '\u2551' #CHRHEADERDATARIGHT = '\u2551'22CHRHEADERDATALEFT = '\u2502'23CHRHEADERDATAMIDDLE = '\u2502'24CHRHEADERDATARIGHT = '\u2502'25#--Line right below the column names--26#CHRHEADERMIDDLELEFT = '\u255F' #CHRHEADERMIDDLERIGHT = '\u2562'27CHRHEADERMIDDLELEFT = '\u251C'28CHRHEADERMIDDLEMIDDLE = '\u253C'29CHRHEADERMIDDLELINE = '\u2500'30CHRHEADERMIDDLERIGHT = '\u2524'31#--Last line of the table--32#CHRHEADERBOTTOMLEFT = '\u255A' #CHRHEADERBOTTOMMIDDLE = '\u2567' #CHRHEADERBOTTOMLINE = '\u2550' #CHRHEADERBOTTOMRIGHT = '\u255D'33CHRHEADERBOTTOMLEFT = '\u2514'34CHRHEADERBOTTOMMIDDLE = '\u2534'35CHRHEADERBOTTOMLINE = '\u2500'36CHRHEADERBOTTOMRIGHT = '\u2518'37def getstartrow(startrow,selectrow,height):38    if (selectrow<startrow+5):39        startrow = max(0,selectrow-5)40    if (selectrow>startrow+height-5-5-1):41        startrow = min(selectrow-(height-5-5-1),TblLayout['numrows']-(height-5))42    return(startrow)43def getstartcol(startcol,selectcol,width):44    if (selectcol<startcol): #Scroll left if needed45        startcol = selectcol46    elif (selectcol>startcol):47        endwidth = 048        for i in range(startcol,selectcol+1):49            endwidth = endwidth + 2 + TblLayout['columnwidths'][i] + 150        if (endwidth>width):51            startcol = getstartcol(startcol+1,selectcol,width)52    else:53        startcol = startcol54    return(startcol)55def displayheader(stdscr,startcol,rows,height,width):56    # https://www.unicode.org/charts/PDF/U2500.pdf57    if ( (height < 15) | (width < 40) ):58        if (height>0):59            stdscr.addstr(0,0,'Enlarge terminal to a minimum of 15x40'[:(width-1)])60    else:61        if (startcol == 0):62            headertop = CHRHEADERTOPLEFT63            headermiddle = CHRHEADERMIDDLELEFT64            headerbottom = CHRHEADERBOTTOMLEFT65            headerdata = CHRHEADERDATALEFT66        else:67            headertop = CHRHEADERTOPMIDDLE68            headermiddle = CHRHEADERMIDDLEMIDDLE69            headerbottom = CHRHEADERBOTTOMMIDDLE70            headerdata = CHRHEADERDATAMIDDLE71        for i in range(startcol,TblLayout['numcols']):72            if (len(headertop)<width):73                headertop = headertop + CHRHEADERTOPLINE*(TblLayout['columnwidths'][i]+2)74                headermiddle = headermiddle + CHRHEADERMIDDLELINE*(TblLayout['columnwidths'][i]+2)75                headerbottom = headerbottom + CHRHEADERBOTTOMLINE*(TblLayout['columnwidths'][i]+2)76                headerdata = headerdata + ' '+TblLayout['columnnames'][i][:TblLayout['columnwidths'][i]].ljust(TblLayout['columnwidths'][i])+' '77                if (i<TblLayout['numcols']-1):78                    headertop = headertop + CHRHEADERTOPMIDDLE79                    headermiddle = headermiddle + CHRHEADERMIDDLEMIDDLE80                    headerbottom = headerbottom + CHRHEADERBOTTOMMIDDLE81                    headerdata = headerdata + CHRHEADERDATAMIDDLE82                else:83                    headertop = headertop + CHRHEADERTOPRIGHT84                    headermiddle = headermiddle + CHRHEADERMIDDLERIGHT85                    headerbottom = headerbottom + CHRHEADERBOTTOMRIGHT86                    headerdata = headerdata + CHRHEADERDATARIGHT87            else:88                break; #Break out of the for loop89        stdscr.addstr(0, 0, headertop[:width].ljust(width))90        stdscr.addstr(1, 0, headerdata[:width].ljust(width))91        stdscr.addstr(2, 0, headermiddle[:width].ljust(width))92        lastrow = min(2+rows+1,height-2)93        stdscr.addstr(lastrow, 0, headerbottom[:width].ljust(width))94def displaydata(stdscr,startcol,startrow,maxrows,selectrow,selectcol,height,width):95    if ( (height < 15) | (width < 40) ):96        return(0)97    tic = time.perf_counter()98    stoprow = min(maxrows-1,TblLayout['numrows']-1)99    displayrow = 3100    for j in range(startrow, stoprow+1):101        displaycol = 0102        if (width>displaycol):103            if (startcol == 0):104                stdscr.addstr(displayrow, displaycol, CHRHEADERDATALEFT)105            else:106                stdscr.addstr(displayrow, displaycol, CHRHEADERDATAMIDDLE)107            displaycol = displaycol + 1 #Also foresee an extra space at the left of the first data field108        if (width>displaycol):109            stdscr.addstr(displayrow, displaycol, ' ')110            displaycol = displaycol + 1 #Also foresee an extra space at the left of the first data field111        for i in range(startcol,TblLayout['numcols']):112            if (width>displaycol):113                cellwidth = TblLayout['columnwidths'][i]114                displaywidth = min(cellwidth,width-displaycol-1)115                datastr = str(df.iloc[j,i])[:displaywidth].ljust(displaywidth)116                if (j==selectrow):117                    highlight = curses.A_BOLD | curses.A_REVERSE * (i==selectcol)118                else:119                    highlight = 0120                stdscr.addstr(displayrow, displaycol, datastr, highlight)121                displaycol = displaycol + displaywidth #Also foresee an extra space at the right of the data field122            if (width>displaycol):123                stdscr.addstr(displayrow, displaycol, ' ')124                displaycol = displaycol + 1 #Also foresee an extra space at the left of the first data field125            if (width>displaycol):126                if (i<TblLayout['numcols']-1):127                    stdscr.addstr(displayrow, displaycol, CHRHEADERDATAMIDDLE)128                else: #end of the line129                    stdscr.addstr(displayrow, displaycol, CHRHEADERDATARIGHT.ljust(width-displaycol-1))130                displaycol = displaycol + 1 #Also foresee an extra space at the left of the separator131            if (width>displaycol):132                stdscr.addstr(displayrow, displaycol, ' ')133                displaycol = displaycol + 1 #Also foresee an extra space at the left of the first data field134        displayrow = displayrow + 1135    toc=time.perf_counter()136    statusline = 'Cell {}:{} ({})'.format(selectrow+1,selectcol+1,TblLayout['numrows'])137    statusline = statusline + ' | Ctrl-(W/X): Insert (Above/Below) | Ctrl-D: Delete record | F4: Save | Ctrl-E: Exit (no save)'138    #statusline = statusline + f"  Updated the screen in {toc - tic:0.8f} seconds  "139    #stdscr.addstr(height-1, 0, '> Row {} (0-{})'.format(selectrow,TblLayout['numrows']-1).ljust(30))140    stdscr.addstr(height-1,0,statusline[:(width-1)].ljust(width-1))141def editdata(stdscr,startcol,startrow,selectrow,selectcol,mykey):142    #editstr = str(df.loc[selectrow][selectcol])143    curses.curs_set(1)144    returncode = ''145    editstr = "" + mykey146    charpos = 0 + len(mykey)147    docontinue = True148    displaycol = 2149    for i in range(startcol,selectcol):150        displaycol = displaycol + TblLayout['columnwidths'][i]+3151    cellwidth = TblLayout['columnwidths'][selectcol]152    stdscr.addstr(3+selectrow-startrow,displaycol,editstr.ljust(cellwidth),(curses.A_REVERSE | curses.A_BOLD))153    stdscr.move(3+selectrow-startrow,displaycol+charpos)154    while (docontinue):155        mykey = stdscr.get_wch()156        if (isinstance(mykey,int)):157            if ( (mykey == curses.KEY_BTAB) | (mykey == curses.KEY_UP) | (mykey == curses.KEY_DOWN) | (mykey == 410) ):158                docontinue = False159                returncode = mykey #Enter160            elif ( (mykey == curses.KEY_BACKSPACE) | (mykey == 127) ):161                if (charpos > 0):162                    charpos = charpos - 1163                    editstr = editstr[0:charpos]164        elif ( (mykey == '\n') | (mykey == '\t') ):165                docontinue = False166                returncode = mykey167        elif ( mykey == chr(27) ):168                editstr = str(df.iloc[selectrow,selectcol]) #Put original text back169                docontinue = False170                returncode = mykey171        else:172            if ( (mykey == chr(127)) | (mykey == '\b') ):173                if (charpos > 0):174                    charpos = charpos - 1175                    editstr = editstr[0:charpos]176            if (curses.ascii.iscntrl(mykey) == False): #Do not accept control characters177                editstr = editstr + mykey[0]178                charpos = charpos + 1179        if (charpos <= cellwidth):180            showstr = editstr[:cellwidth].ljust(cellwidth)181            showpos = charpos182        else:183            showstr = editstr[charpos-cellwidth:charpos]184            showpos = cellwidth185        stdscr.addstr(3+selectrow-startrow,displaycol,showstr,(curses.A_REVERSE | curses.A_BOLD))186        stdscr.move(3+selectrow-startrow,displaycol+showpos)187    df.iloc[selectrow,selectcol] = editstr188    curses.curs_set(0)189    return(returncode)190def main(stdscr):191    global df192    stdscr.clear()193    curses.curs_set(0)194    height,width = stdscr.getmaxyx()195    startrow = 0196    startcol = 0197    selectrow = 0198    selectcol = 0199    while(1):200        displayheader(stdscr,startcol,TblLayout['numrows'],height,width)201        displaydata(stdscr,startcol,startrow,startrow+height-5,selectrow,selectcol,height,width)202        mykey = stdscr.get_wch()203        returnkey = 0204        if (isinstance(mykey,int)):205            if (mykey == curses.KEY_NPAGE):206                selectrow = max(0,min(selectrow + (height-5-2),TblLayout['numrows']-1))207            elif (mykey == curses.KEY_PPAGE):208                selectrow = max(0,selectrow - (height-5-2))209            elif (mykey == curses.KEY_DOWN):210                selectrow = max(0,min(selectrow + 1,TblLayout['numrows']-1))211            elif (mykey == curses.KEY_UP):212                selectrow = max(0,selectrow - 1)213            elif (mykey == curses.KEY_BTAB):214                returnkey = curses.KEY_BTAB215            elif (mykey == curses.KEY_LEFT):216                selectcol = max(0,selectcol-1)217            elif (mykey == curses.KEY_RIGHT):218                selectcol = min(selectcol+1,TblLayout['numcols']-1)219            elif (mykey == curses.KEY_F2):220                if (TblLayout['numrows']>0):221                    returnkey = editdata(stdscr,startcol,startrow,selectrow,selectcol,'')222            elif (mykey == curses.KEY_F4):223                df.to_csv(sys.argv[1],index=False)224                stdscr.addstr(height-1,0,"File saved as \"{}\", press a key to continue".format(sys.argv[1]).ljust(width-1))225                stdscr.getch()226            elif (mykey == 410): #resize227                returnkey = mykey228            else:229                stdscr.addstr(height-1, 30, 'You pressed #{}#          '.format(mykey))230        #elif (mykey == ':'):231        #    df.to_csv('out.csv',index=False)232        #    curses.curs_set(1)233        #    exit(0)234        elif (mykey == '\t'):235            returnkey = '\t'236        elif (mykey == '\n'):237            returnkey = '\n';238        elif (len(mykey)==1):239            if (ord(mykey)>31): #We will not match stuff like an escape character (27)240                if (TblLayout['numrows']>0):241                    returnkey = editdata(stdscr,startcol,startrow,selectrow,selectcol,mykey)242            elif (ord(mykey)==23): #Ctrl-W243                df = pd.concat([df.head(selectrow), pd.DataFrame([[nan] * df.shape[1]], columns=df.columns), df.tail(TblLayout['numrows']-selectrow)], ignore_index=True)244                df.astype(str)245                TblLayout['numrows'] = df.shape[0]246                returnkey = 410 #Force resize247            elif (ord(mykey)==5): #Ctrl-E248                curses.curs_set(1)249                exit(0)250            elif (ord(mykey)==24): #Ctrl-X251                df = pd.concat([df.head(selectrow+1), pd.DataFrame([[nan] * df.shape[1]], columns=df.columns), df.tail(TblLayout['numrows']-selectrow-1)], ignore_index=True)252                df.astype(str)253                TblLayout['numrows'] = df.shape[0]254                selectrow = max(0,min(selectrow + 1,TblLayout['numrows']-1))255                returnkey = 410 #Force resize256            elif (ord(mykey)==4): #Ctrl-D257                if (TblLayout['numrows']>0):258                    df = df.drop(df.index[[selectrow]])259                    TblLayout['numrows'] = df.shape[0]260                    selectrow = max(0,selectrow - 1)261                    returnkey = 410 #Force resize262                selectrow = max(0,min(selectrow + 1,TblLayout['numrows']-1))263            #else:264            #    stdscr.addstr(height-1, 30, 'You pressed #{}#          '.format(ord(mykey)))265        #else:266        #    stdscr.addstr(height-1, 30, 'You pressed #{}#          '.format(mykey))267        #---------------------------------------------------------268        if (isinstance(returnkey,int)):269            if ( (returnkey == curses.KEY_DOWN) ):270                selectrow = min(selectrow + 1,TblLayout['numrows']-1)271            elif ( (returnkey == curses.KEY_UP) ):272                selectrow = max(0,selectrow - 1)273            elif (returnkey == curses.KEY_BTAB):274                if ( (selectcol == 0) & (selectrow > 0) ):275                    selectcol = TblLayout['numcols']-1276                    selectrow = selectrow - 1277                else:278                    selectcol = max(0,selectcol-1)279            elif (returnkey == 410): #resize280                height,width = stdscr.getmaxyx()281                stdscr.clear()282        elif ( (returnkey == '\t') | (returnkey == '\n') ):283            if ( (selectcol == TblLayout['numcols']-1) & (selectrow < TblLayout['numrows']-1) ):284                selectcol = 0285                selectrow = selectrow + 1286            else:287                selectcol = min(selectcol+1,TblLayout['numcols']-1)288        #-----------------------------------------------------------289        startrow = getstartrow(startrow,selectrow,height)290        startcol = getstartcol(startcol,selectcol,width)291#--- Main programming code ---292if len(sys.argv) > 1:293    df = pd.read_csv(sys.argv[1],dtype=str)294else:295    print("Syntax: csvedit <filename>")296    exit(1)297TblLayout = {}298TblLayout['numcols'] = df.shape[1]299TblLayout['numrows'] = df.shape[0]300TblLayout['columnnames'] = df.columns301TblLayout['columnwidths'] = [COLUMN_LENGTH_DEFAULT]*TblLayout['numcols']302counter = 0303for column in df:304    TblLayout['columnwidths'][counter] = max(min(max(df[column].map(str).map(len).max(),len(column)),COLUMN_LENGTH_MAX),COLUMN_LENGTH_MIN)305    counter = counter + 1306os.environ.setdefault('ESCDELAY', '25')...

predict.py

Source:predict.py

1# coding=utf-82import csv3import matplotlib.pyplot as plt4import numpy as np5from sklearn.model_selection import train_test_split6from sklearn.tree import DecisionTreeClassifier7from GenerateModel import type8import joblib9import pandas as pd10import pandas.plotting11import mglearn12import seaborn as sns13class PredictModel:14    def __init__(self):15        self.tree = None16        self.feature_name = None17        self.X_train = None18        self.y_train = None19        self.X_test = None20        self.y_test = None21    def loadFile(self, filename):22        with open(filename, "r") as f:23            reader = csv.reader(f)24            datalist = []25            ylist = []26            i = 027            for row in reader:28                selectRow = []29                if i == 0:30                    # self.feature_name = np.array(row[:9] + row[41:42])31                    selectRow.append(row[1])32                    selectRow.append(row[2])33                    selectRow.append(row[3])34                    selectRow.append(row[4])35                    selectRow.append(row[28])36                    selectRow.append(row[32])37                    selectRow.append(row[33])38                    selectRow.append(row[34])39                    selectRow.append(row[38])40                    self.feature_name = np.array(selectRow)41                if i > 0:42                    selectRow.append(type.Protocol.Type[row[1]])43                    selectRow.append(type.Service.Type[row[2]])44                    selectRow.append(type.Flag.Type[row[3]])45                    selectRow.append(row[4])46                    selectRow.append(row[28])47                    selectRow.append(row[32])48                    selectRow.append(row[33])49                    selectRow.append(row[34])50                    selectRow.append(row[38])51                    datalist.append(selectRow)52                    # datalist.append(row[:41])53                    # datalist.append(row[:9] + row[41:42])54                    # ylist.append(row[41:42])55                    ylist.append(type.Attack.Type[row[41]])56                i += 157        X = np.array(datalist)58        y = np.array(ylist)59        self.X_train, self.X_test, self.y_train, self.y_test = \60            train_test_split(X, y, random_state=0)61    def loadTrainAndTestFile(self, trainFileName,62                             testFileName):63        with open(trainFileName, "r") as f:64            reader = csv.reader(f)65            datalist = []66            ylist = []67            i = 068            for row in reader:69                selectRow = []70                if i == 0:71                    selectRow.append(row[1])72                    selectRow.append(row[2])73                    selectRow.append(row[3])74                    selectRow.append(row[4])75                    selectRow.append(row[28])76                    selectRow.append(row[32])77                    selectRow.append(row[33])78                    selectRow.append(row[34])79                    selectRow.append(row[38])80                    self.feature_name = np.array(selectRow)81                elif i > 0 and row[41] not in type.Attack.R2L \82                        and row[41] not in type.Attack.U2R:83                    selectRow.append(type.Protocol.Type[row[1]])84                    selectRow.append(type.Service.Type[row[2]])85                    selectRow.append(type.Flag.Type[row[3]])86                    selectRow.append(row[4])87                    selectRow.append(row[28])88                    selectRow.append(row[32])89                    selectRow.append(row[33])90                    selectRow.append(row[34])91                    selectRow.append(row[38])92                    datalist.append(selectRow)93                    if row[41] == "normal":94                        ylist.append(0)95                    elif row[41] in type.Attack.DOS:96                        ylist.append(1)97                    elif row[41] in type.Attack.PROBE:98                        ylist.append(2)99                    else:100                        print("error (predict.py 110)")101                    # ylist.append(type.Attack.Type[row[41]])102                i += 1103            self.X_train = np.array(datalist)104            self.y_train = np.array(ylist)105        with open(testFileName, "r") as f:106            reader = csv.reader(f)107            datalist = []108            ylist = []109            i = 0110            for row in reader:111                selectRow = []112                if i > 0 and row[41] not in type.Attack.R2L \113                        and row[41] not in type.Attack.U2R:114                    selectRow.append(type.Protocol.Type[row[1]])115                    selectRow.append(type.Service.Type[row[2]])116                    selectRow.append(type.Flag.Type[row[3]])117                    selectRow.append(row[4])118                    selectRow.append(row[28])119                    selectRow.append(row[32])120                    selectRow.append(row[33])121                    selectRow.append(row[34])122                    selectRow.append(row[38])123                    datalist.append(selectRow)124                    # ylist.append(type.Attack.Type[row[41]])125                    if row[41] == "normal":126                        ylist.append(0)127                    elif row[41] in type.Attack.DOS:128                        ylist.append(1)129                    elif row[41] in type.Attack.PROBE:130                        ylist.append(2)131                    else:132                        print("error (predict.py 145)")133                i += 1134            self.X_test = np.array(datalist)135            self.y_test = np.array(ylist)136    def train(self, depth, modelFileName):137        tree = DecisionTreeClassifier(random_state=10, max_depth=depth)138        tree.fit(self.X_train, self.y_train)139        joblib.dump(tree, "../model/" + modelFileName)140        train_accuracy = tree.score(self.X_train, self.y_train)141        test_accuracy = tree.score(self.X_test, self.y_test)142        print("Accuracy on training set: {:.3f}".format(train_accuracy))143        print("Accuracy on test set: {:.3f}".format(test_accuracy))144    def loadModel(self, modelFileName):145        self.tree = joblib.load(modelFileName)146    def predict(self, feature):147        feature[0][0] = type.Protocol.Type[feature[0][0]]148        label = self.tree.predict(feature)149        return label[0]150    def selectDepth(self, max_depth):151        neighbors_settings = range(1, max_depth)152        test_accuracys = []153        training_accuracys = []154        for i in neighbors_settings:155            tree = DecisionTreeClassifier(random_state=10, max_depth=i)  # 13156            tree.fit(self.X_train, self.y_train)157            train_accuracy = tree.score(self.X_train, self.y_train)158            test_accuracy = tree.score(self.X_test, self.y_test)159            training_accuracys.append(train_accuracy)160            test_accuracys.append(test_accuracy)161            print("//////////////////////////" + str(i) + "//////////////////////////////")162            print("Accuracy on training set: {:.3f}".format(train_accuracy))163            print("Accuracy on test set: {:.3f}".format(test_accuracy))164            print("")165        plt.plot(neighbors_settings, training_accuracys, label="training accuracy")166        plt.plot(neighbors_settings, test_accuracys, label="test accuracy")167        plt.ylabel("Accuracy")168        plt.xlabel("n_neighbors")169        plt.legend()170        plt.show()171    def showGraph(self):172        X_train, X_test, y_train, y_test = train_test_split(173            self.X, self.y, random_state=0)174        iris = sns.load_dataset("iris")175        featur_dataframe = pd.DataFrame(X_train, columns=self.feature_name)176        g4 = sns.pairplot(featur_dataframe, hue="label")177        plt.show()178        print()179        # feature_dataframe = pd.DataFrame(X_train,columns=self.feature_name)180        # grr = pandas.plotting.scatter_matrix(feature_dataframe,181        #                                      c=y_train, figsize=(15, 15),182        #                                      marker="o", hist_kwds={"bins": 20},183        #                                      s=60, alpha=.8, cmap=mglearn.cm3)184        # plt.show()185if __name__ == "__main__":186    trainModel = PredictModel()187    # trainModel.loadFile("../data/KDDTest+.csv")188    trainModel.loadTrainAndTestFile("../data/KDDTrain+.csv",189                                    "../data/KDDTest+.csv")190    # trainModel.showGraph()191    # trainModel.selectDepth(20)...

Exercise2.py

Source:Exercise2.py

1import RPi.GPIO as GPIO2from  time import sleep3import GPIO_EX4ROW0_PIN = 05ROW1_PIN = 16ROW2_PIN = 27ROW3_PIN = 38COL0_PIN = 49COL1_PIN = 510COL2_PIN = 611COL_NUM = 312ROW_NUM = 413g_preData = 014colTable = [COL0_PIN, COL1_PIN, COL2_PIN]15rowTable = [ROW0_PIN, ROW1_PIN, ROW2_PIN, ROW3_PIN]16LED_1 = 417LED_2 = 518LED_3 = 1519LED_4 = 1420LED_1_status = True21LED_2_status = True22LED_3_status = True23LED_4_status = True24def initKeypad():25    for i in range(0, COL_NUM):26        GPIO_EX.setup(colTable[i], GPIO_EX.IN)27    for i in range(0, ROW_NUM):28        GPIO_EX.setup(rowTable[i], GPIO_EX.OUT)29def selectRow(rowNum):30    for i in range(0, ROW_NUM):31        if rowNum == (i + 1):32            GPIO_EX.output(rowTable[i], GPIO_EX.HIGH)33            sleep(0.001)34        else:35            GPIO_EX.output(rowTable[i], GPIO_EX.LOW)36            sleep(0.001)37    return rowNum38def readCol():39    keypadstate = -140    for i in range(0, COL_NUM):41        inputKey = GPIO_EX.input(colTable[i])42        if inputKey:43            keypadstate = keypadstate + (i+2)44            sleep(0.5)45    return keypadstate46def readKeypad():47    global g_preData48    keyData = -149    50    runningStep = selectRow(1)51    row1Data = readCol()52    selectRow(0)53    sleep(0.001)54    if (row1Data != -1):55        keyData = row1Data56    57    if runningStep == 1:58        if keyData == -1:59            runningStep = selectRow(2)60            row2Data = readCol()61            selectRow(0)62            sleep(0.001)63            if (row2Data != -1):64                keyData = row2Data + 365    if runningStep == 2:66        if keyData == -1:67            runningStep = selectRow(3)68            row3Data = readCol()69            selectRow(0)70            sleep(0.001)71            if (row3Data != -1):72                keyData = row3Data +673    if runningStep == 3:74        if keyData == -1:75            runningStep = selectRow(4)76            row4Data = readCol()77            selectRow(0)78            sleep(0.001)79            if (row4Data != -1):80                if row4Data == 1:81                    keyData = "*"82                elif row4Data == 2:83                    keyData = 084                else:85                    keyData = "#"86    if keyData == -1:87        return -188    if g_preData == keyData:89        g_preData = -190        return -191    g_preData = keyData92    print("\r\nKeypad Data : {}".format(keyData))93    return keyData94def LED_Initial():95    global LED_1_status, LED_2_status, LED_3_status, LED_4_status96    GPIO.setmode(GPIO.BCM)97    GPIO.setwarnings(False)98    GPIO.setup(LED_1, GPIO.OUT, initial=LED_1_status)99    GPIO.setup(LED_2, GPIO.OUT, initial=LED_2_status)100    GPIO.setup(LED_3, GPIO.OUT, initial=LED_3_status)101    GPIO.setup(LED_4, GPIO.OUT, initial=LED_4_status)102def LED_Conrtrol(LED_Num):103    global LED_1_status, LED_2_status, LED_3_status, LED_4_status104    if LED_Num == 1:105        if LED_1_status:106            GPIO.output(LED_1, GPIO.LOW)107        else:108            GPIO.output(LED_1, GPIO.HIGH)109        LED_1_status = not LED_1_status110    elif LED_Num == 2:111        if LED_2_status:112            GPIO.output(LED_2, GPIO.LOW)113        else:114            GPIO.output(LED_2, GPIO.HIGH)115        LED_2_status = not LED_2_status116    elif LED_Num == 3:117        if LED_3_status:118            GPIO.output(LED_3, GPIO.LOW)119        else:120            GPIO.output(LED_3, GPIO.HIGH)121        LED_3_status = not LED_3_status122    elif LED_Num == 4:123        if LED_4_status:124            GPIO.output(LED_4, GPIO.LOW)125        else:126            GPIO.output(LED_4, GPIO.HIGH)127        LED_4_status = not LED_4_status128    else:129        GPIO.output(LED_1, GPIO.LOW)130        GPIO.output(LED_2, GPIO.LOW)131        GPIO.output(LED_3, GPIO.LOW)132        GPIO.output(LED_4, GPIO.LOW)133        LED_1_status = False134        LED_2_status = False135        LED_3_status = False136        LED_4_status = False137def main():138    GPIO.setwarnings(False)139    GPIO.setmode(GPIO.BCM)140    initKeypad()141    LED_Initial()142    print("setup keypad pin")143    try:144        while True:145            keyData = readKeypad()146            if keyData != -1:147                LED_Conrtrol(keyData)148    except KeyboardInterrupt:149        GPIO.cleanup()150if __name__ == '__main__':...

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