Unlock 30% off on Manual Testing Annual Plans this Holiday Season.

Copied to Clipboard!

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__':...

Automation Testing Tutorials

Learn to execute automation testing from scratch with LambdaTest Learning Hub. Right from setting up the prerequisites to run your first automation test, to following best practices and diving deeper into advanced test scenarios. LambdaTest Learning Hubs compile a list of step-by-step guides to help you be proficient with different test automation frameworks i.e. Selenium, Cypress, TestNG etc.