Python LongBow.countLines方法代碼示例

# 需要導入模塊: import LongBow [as 別名]
# 或者: from LongBow import countLines [as 別名]
def csvSummary(distribution, documentation):
        formatString ="documentation,%s,%d,%d,%.2f%%"
        for entry in documentation:
            badLines = len(documentation[entry])
            totalLines =  LongBow.countLines(entry)
            score = float(totalLines - badLines) / float(totalLines) * 100.0
            LongBow.scorePrinter(distribution, score, formatString % (entry, totalLines, badLines, score))
        return

# 需要導入模塊: import LongBow [as 別名]
# 或者: from LongBow import countLines [as 別名]
def textualSummary(distribution, documentation):
    maxWidth = 0
    for entry in documentation:
        if len(entry) > maxWidth:
            maxWidth = len(entry)

    formatString ="%-" + str(maxWidth) + "s %8d %8d   %.2f%%"
    for entry in documentation:
        badLines = len(documentation[entry])
        totalLines =  LongBow.countLines(entry)
        score = float(totalLines - badLines) / float(totalLines) * 100.0
        LongBow.scorePrinter(distribution, score, formatString % (entry, totalLines, badLines, score))
    return

# 需要導入模塊: import LongBow [as 別名]
# 或者: from LongBow import countLines [as 別名]
def textualAverage(distribution, documentation, format):
    sum = 0.0

    for entry in documentation:
        badLines = len(documentation[entry])
        totalLines =  LongBow.countLines(entry)
        score = float(totalLines - badLines) / float(totalLines) * 100.0
        sum = sum + score

    if len(documentation) == 0:
        averageScore = 100.0
    else:
        averageScore = sum / float(len(documentation))

    LongBow.scorePrinter(distribution, averageScore, format % averageScore)

# 需要導入模塊: import LongBow [as 別名]
# 或者: from LongBow import countLines [as 別名]
def main():
    desc = '''
Report on number of lines of one or more C source or header files.

Input is either from a list of files supplied as command line parameters,
or as a list of newline separated file names read from standard input.
Output is a plain text (default) or a CSV file reporting
the file name and the total number of lines in the file.

Usage:

% longbow-size-report *.[ch]

Report the number of lines in .c and .h files specified as command line parameters.

% longbow-size-report -
Read the lists of files from standard input, one file per line.

$ longbow-size-report parc_JSON.c
parc_JSON.c    239
$
$
$ echo parc_JSON.c | longbow-size-report -o csv -
parc_JSON.c,239
$
'''

    parser = argparse.ArgumentParser(prog='longbow-size-report', formatter_class=argparse.RawDescriptionHelpFormatter, description=desc)
    parser.add_argument('-', '--stdin', default=False, action="store_true", required=False, help="read the list of files from standard input.")
    parser.add_argument('-s', '--summary', default=False, action="store_true", required=False, help="display the number of lines for each file")
    parser.add_argument('-t', '--total', default=False, action="store_true", required=False, help="display the total number of lines for all files")
    parser.add_argument('-o', '--output', default="text", action="store", required=False, type=str, help="the output format: \"text\" or \"csv\"")

    parser.add_argument("files", help="Files to check", nargs="*")

    args = parser.parse_args()

    if args.summary == False and args.total == False:
        args.summary = True

    targets = []

    if args.stdin:
        for line in sys.stdin:
            t = line.strip()
            if len(t) > 0:
                targets.append(t)
    else:
        targets = args.files

    if len(targets) == 0:
        parser.print_usage()
        sys.exit(1)

    files = map(lambda fileName: [ fileName, LongBow.countLines(fileName)], targets)
    total = sum(map(lambda element: element[1], files))

    if args.summary:
        if args.output == "text":
            textSummary(files)
        else:
            csvSummary(files)

    if args.total:
        if args.output == "text":
            textTotal(files)
        else:
            csvTotal(files)