Python argv.append函数代码示例

def make_dists():
    prebuilt_platform_root = path.join("dtls", "prebuilt")
    for platform in listdir(prebuilt_platform_root):
        config = {"MANIFEST_DIR": path.join(prebuilt_platform_root, platform)}
        execfile(path.join(prebuilt_platform_root, platform, "manifest.pycfg"),
                 config)
        files = map(lambda x: "dtls/prebuilt/" + platform + "/" + x,
                    config["FILES"])
        argv.append("--formats=" + config["FORMATS"])
        invoke_setup([('dtls', files)])
        del argv[-1]
        for dist_format in config["FORMATS"].split(','):
            source_name = path.join(DIST_DIR,
                                    NAME + "-" + VERSION +
                                    FORMAT_TO_SUFFIX[dist_format])
            target_name = path.join(DIST_DIR,
                                    NAME + "-" + VERSION +
                                    ".sdist_with_openssl." +
                                    config["ARCHITECTURE"] +
                                    FORMAT_TO_SUFFIX[dist_format])
            try:
                remove(target_name)
            except OSError:
                pass
            rename(source_name, target_name)
    # Finally the distribution without prebuilts
    argv.append("--formats=zip,gztar")
    invoke_setup()

	def test_main_with_gui_argument(self):
		argv.append("-g")
		pacsudoku = main()
		with open(self.default_config_file) as rawfile:
			actual_xml_content = rawfile.readlines()
		self.assertEqual([], actual_xml_content)
		argv.pop()
		pacsudoku.config_file.file.close()
		remove(self.default_config_file)

	def test_main_with_valid_config_file(self):
		argv.append("-c")
		argv.append(self.my_config_file)
		pacsudoku = main()
		with open(self.my_config_file) as rawfile:
			actual_xml_content = rawfile.readlines()
		self.assertEqual(self.expected_xml_content, actual_xml_content)
		argv.pop()
		argv.pop()
		pacsudoku.config_file_handler.file.close()

    def _parse_args(self):

        # display help per default:
        if len(argv) == 1:
            argv.append("-h")

        args = self.arg_parser.parse_args()
        self.args = args

        if args.verbose:
            logging.getLogger().setLevel(logging.INFO)

def launch(module, includes ,files, out = None, multiple = None):
    import sys
    from sys import argv
    from copy import copy, deepcopy
    del argv[1:]
    argv.extend(default_defines)
    argv.extend(map(lambda include : '-I%s' % include, includes))
    argv.append('--module=%s' % module)
    if out == None:
        out = module
    argv.append('--out=%s' % out)
    if multiple:
        argv.append('--multiple')
    argv_saved = copy(argv)
    argv.extend(files)
    print argv


    from os import system

    def makecmd():
        import string
        return ('python -c "from Pyste import pyste; pyste.main()" ' 
            + string.join(argv[1:], ' '))
    
    system(makecmd())
    
    argv = argv_saved
    if multiple:
        argv.append('--generate-main')
        argv.extend(files)
        print 'generating main'
        system(makecmd())

	def test_sudoku_argument_parser_class_with_arguments(self):
		expected_config_metavar = "other.xml"
		argv.append("-g")
		argv.append("-c")
		argv.append(expected_config_metavar)
		parser = SudokuArgumentParser()
		actual_arguments = parser.parse_args()
		argv.pop()
		argv.pop()
		argv.pop()
		self.assertEqual(expected_config_metavar, actual_arguments.config)
		self.assertTrue(actual_arguments.gui)

from pyd.support import Extension
from pyd.support import setup
from pyd import patch_distutils
from sys import argv

if argv[-1] == "opt":
    print("building with optimalization")
    argv.pop()
    argv.append("build")
    argv.append("-c")
    argv.append("ldc2")
    argv.append("-O")

else: argv.append("build")



projName = 'dbindings'
sources = ['dbindings.d',
'ea/ea_config.d',
'ea/population.d',
'ea/individual.d',
'ea/beer_tracker_individual.d',
'ea/beer_tracker_population.d',
'flatland/flatland_agent.d',
'flatland/flatland_simulator.d',
'flatland/flatland_evolve.d',
'ann/ann.d',
'ann/matrix.d',
'ann/ann_config.d',
'ann/ctrnn.d',

	inner_hash = myhash(s[1:])

	wat = s[0]
	return ((ord(wat)<<31)+(ord(wat)<<3)-(ord(wat)+1)+(inner_hash<<5)+(inner_hash>>5))&(0xffffffff)

def get_battery_level():
	level = -1
	try:
		with open("/sys/class/power_supply/BAT0/uevent","r") as f:
			uevent_contents = f.read()
			property_list = [tuple(x.split("=")) for x in uevent_contents.split("\n") if len(x.split("="))==2]
			properties = dict(property_list)
			level = int(properties['POWER_SUPPLY_CHARGE_NOW'])*100/int(properties['POWER_SUPPLY_CHARGE_FULL'])
	except Exception as e:
		level = -1
	return min(level,100)

if len(argv)<2:
	argv.append("test")

color = (myhash(argv[1]))%16
color_upper = int(color/8)
color_lower = int(color%8)

stdout.write("\033[%d;3%dm%s"%(color_upper,color_lower,argv[1]))
if argv[1]=="clamps": # Battery monitoring on laptop
	battery_level = get_battery_level()
	stdout.write("(%3d"%battery_level+"%%)") # percent signs are filtered by zsh

        return 0
    except KeyboardInterrupt:
        ### handle keyboard interrupt ###
        return 0
    except Exception as e:
        if DEBUG:
            raise(e)
            pass
        indent = len(program_name) * " "
        from sys import stderr
        stderr.write(program_name + ": " + repr(e) + "\n")
        stderr.write(indent + "  for help use --help")
        return 2

    pass


if __name__ == "__main__":
    if DEBUG:
        from sys import argv
        argv.append("-n 700")
        argv.append("--minimizer=Powell")
        argv.append("--clf-params={'learning_rate': 0.05, 'min_child_weight': 240, 'subsample': 0.9, 'colsample_bytree': 0.67, 'max_depth': 6, 'initial_params': [0.1, -1, -2, -1, -0.8, 0.02, 0.8, 1]}")
        argv.append("-f 10")
        pass
    from sys import exit as Exit
    Exit(main())
    pass

            self.close()
            os.system("gui_interaction.py restart")

    def looper(self):
        while True:
            time.sleep(1)
            self.updateSig.emit()

    def vaultlooper(self):
        while True:
            time.sleep(3)
            self.vaultSig.emit()


if __name__ == '__main__':
    argv.append("building")
    app = QApplication(argv)
    if "restart" not in argv and "building" not in argv:
        os.system("commands\\minimize.bat")
        ss = QSplashScreen(QPixmap("images/splash.png"))
        ss.show()
        ss.showMessage("Loading Components", alignment=Qt.AlignBottom|Qt.AlignHCenter, color=Qt.white)
        mp = gui_interaction()
        time.sleep(2)
        ss.showMessage("Initialising Components", alignment=Qt.AlignBottom|Qt.AlignHCenter, color=Qt.white)
        time.sleep(3)
        ss.showMessage("Finished Loading. Welcome to MagPy.", alignment=Qt.AlignBottom|Qt.AlignHCenter, color=Qt.white)
        time.sleep(1)
        mp.show()
        ss.hide()
    else:

print "LISTE: impacchettamento, spacchettamento; accessibilita', inizializzazione tramite indicizzazione"

lista0 = [1, 4, 5]
print "Se si puo' impacchettare & accedere a una lista tramite indicizzazione, qui di seguito deve comparire il numero 4: ", lista0[1]

(pippo, pluto, paperino) = lista0
print "Se si puo' spacchettare una lista, qui di seguito deve comparire la serie 1 4 5: ", pippo, pluto, paperino

lista1 =[pippo, pluto, paperino]
lista1[0] =5
print "Se si puo' inizializzare una lista tramite indicizzazione, qui di seguito deve comparire una lista: ", lista1

print "\n-----------------------------------------------------------"
print "ARGV: qui testo se vari elementi visti finora sono o meno delle tuple"

argv.append(5)

print "Se sys.argv e' una lista, allora qui di seguito deve essere mostrata una lista contenente il nome dello script seguito dagli argomenti passati allo script e infine dal numero 5", argv

print "\n-----------------------------------------------------------"
print "DICTIONARY"

dic1 = {'a':1, 2:2, 'c':'a'}
key = 'c'
elem = dic1[key]
print "\nIl valore associato alla chiave \'%s\' e': " % key, elem
print "La seguente stampa del dizionario mostra come key e value possano essere insiemi eterogenei: ", dic1

dic2={'Panda':(1, 4), 5:'Foca'}
dic1['a']=dic2
print "La seguente stampa del dizionario mostra come i dizionari possano essere annidabili: ", dic1

    #    help="snpEff output file", default=None)
    # grab options and arguments in an usable form
   

    #parser.add_option("-l", dest="log_file", 
    #    help="Optional log file", default=None)
    #parser.add_option("-o", dest="out_prefix", 
    #    help="Prefix for output files", default=None)
    
    parser.add_argument("-l", dest="log_file", 
        help="Optional log file", default=None)
    parser.add_argument("-o", dest="out_prefix", 
        help="Prefix for output files", default=None)
    
    if not argv[1:] :
       argv.append('-h')

    prog_name = os.path.basename(argv[0])
    args = parser.parse_args()
    #print options 
    
               
    if not args.vcf_file :
        parser.error("\nvcf file missing.")
    else :
        if not os.access(args.vcf_file, os.R_OK):
            parser.error("Unable to read vcf file %s " %args.vcf_file)
                
    if not args.out_prefix :
        out_snp   = args.vcf_file[:-4]+".snp"
        out_indel = args.vcf_file[:-4]+".indel"

#!/usr/bin/env python
import re
from sys import argv, stdout, stderr, exit, modules
from optparse import OptionParser

# import ROOT with a fix to get batch mode (http://root.cern.ch/phpBB3/viewtopic.php?t=3198)
argv.append("-b-")
import ROOT

ROOT.gROOT.SetBatch(True)
argv.remove("-b-")

from HiggsAnalysis.CombinedLimit.DatacardParser import *
from HiggsAnalysis.CombinedLimit.ModelTools import *
from HiggsAnalysis.CombinedLimit.ShapeTools import *
from HiggsAnalysis.CombinedLimit.PhysicsModel import *

parser = OptionParser(usage="usage: %prog [options] datacard.txt -o output \nrun with --help to get list of options")
addDatacardParserOptions(parser)
parser.add_option(
    "-P",
    "--physics-model",
    dest="physModel",
    default="HiggsAnalysis.CombinedLimit.PhysicsModel:defaultModel",
    type="string",
    help="Physics model to use. It should be in the form (module name):(object name)",
)
parser.add_option(
    "--PO",
    "--physics-option",
    dest="physOpt",

    samples = SupervisedDataSet(3,1)

    for i in data_transformed_training:
        samples.addSample(i['past'], i['next'] - i['average'])
    trainer = BackpropTrainer(net, samples)

    print 'Training'
    trainer.trainUntilConvergence(maxEpochs= 10)

    #Comparing step-------------------------------------------------------------------

    print 'Naive1'
    aux = map(lambda y: y['past'], data_transformed)
    aux2 = map(lambda y: y['next']-y['average'], data_transformed)
    compare_forecast_samples(Forecaster(predict_function = lambda x: aux2[aux.index(x)-1]), data_transformed)

    print 'Network'
    compare_forecast_samples(Forecaster(predict_function = net.activate), data_transformed)
    print "Number of samples %d for training." %len(data_transformed_training)

if __name__ == '__main__':
    from sys import argv
    if len(argv) < 2:
        '''Usage python %s [name_of_samples_file]''' %argv[0]
        argv.append('readings_27_04_12_15h22m53s.txt')
    print 'Working over', argv[1]

    #from pybrain.tools.shortcuts import buildNetWork
    
    main(argv[1])

def getCompressionInfo(inputText,codeMap):
    ''' Return a Tuple containing the original number of bits, the final number of bits, and the compression ratio.'''
    codedSum=0
    for char in inputText:
        codedSum=codedSum+len(codeMap[char])
    startSize=len(inputText)*8
    endSize=codedSum
    ratio=float(startSize)/endSize
    return (startSize,endSize,ratio)

def printCodeInfo(inputText,codeMap):
    print 'Code Map:'
    printCode(codeMap)
    rawSize,compressedSize,ratio=getCompressionInfo(inputText,codeMap)
    print 'Original Size(bits):',rawSize,', Compressed Size(bits):',compressedSize,', Compression Ratio:',ratio

if(len(argv)>2):
    print 'expecting one argument'
    exit()
elif(len(argv)==1):
    argv.append('InputOutput.txt')

inputFile=open(argv[1],'r')
inputText=inputFile.read()

codeMap,codeTree=huffman.getCodeFromText(inputText)
huffmanCoder=huffman.HuffmanCoder(codeMap,codeTree)
pickleFile=open('huffmanCode','w')
pickle.dump(huffmanCoder,pickleFile)
pickleFile.close()