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
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- WebDriverIO Tutorial
- Protractor Tutorial
- Selenium 4 Tutorial
- Jenkins Tutorial
- NUnit Tutorial
- Jest Tutorial
- Playwright Tutorial
- Cypress Tutorial
- PyTest Tutorial
YouTube
You could also refer to video tutorials over LambdaTest YouTube channel to get step by step demonstration from industry experts.
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