A quick refresher about the fields in the password file: The file is colon-delimited, and the first field is the username. The second field is the crypted password. The third field is the GECOS, which is a comma
def getText(): txt = open("E:\hamlet.txt", "r").read() #读取Hamlet文本文件,并返回给txt txt = txt.lower() #将文件中的单词全部变为小写 for ch in '!"#$%&()*+,-./:;<=>?@[\\]^_‘{|}~': txt = txt.replace(ch, " ") #将文本中特殊字符替换为空格 return txt hamletTxt ...
outfile = os.path.join(out_dir, os.path.basename(args.MSG_FILE))open(outfile +".body.html",'wb').write(html_data)print("Exported: {}".format(outfile +".body.html"))# Extract plain textbody_data = msg.Body.encode('cp1252')open(outfile +".body.txt",'wb').write(body_data)print...
def parse_recvd_data(data): """ Break up raw received data into messages, delimited by null byte """ parts = data.split(b'\0') msgs = parts[:-1] rest = parts[-1] return (msgs, rest) def recv_msgs(sock, data=bytes()): """ Receive data and break into complete messages on ...
The client will send data to the server as comma delimited string, like 255,0,255 for RGB. The challenge on the server side is to parse this data so we get integer values of: R=255 G=0 B=255 In this video lesson we start by simply controlling two LED, a red and green one, ...
Docker: The open-source container platform Docker CLI: The docker client command-line program dockerd: The Docker daemon that manages the containers There are also several tools and projects associated with the Docker platform, such as: Docker Compose Docker Desktop Docker Engine Docker Hub Docker ...
# Import the CSV moduleimportcsv# Open the CSV file for reading and begin iterating over each rowwithopen('ata_csv_demo.csv','r')ascsv_row:## Parse the line as comma-delimitedcsv_data=csv.reader(csv_row,delimiter=',')# Output specific rows from csv files using the for-loop and it...
args = parser.parse_args() local_dir = os.path.dirname(__file__) if not (args.maze == 'medium' or args.maze == 'hard'): print("unsupported maze configuration: %s" % args.maze) exit(1) # read maze environment maze_env_config = os.path.join(local_dir,'%s_maze.txt' % args....
defloadDataSet(fileName): #general function to parse tab -delimited floats numFeat = len(open(fileName).readline().split('\t')) - 1 #get number of fields dataMat = []; labelMat = [] fr = open(fileName) forlineinfr.readlines(): ...
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