Python random.jumpahead函数代码示例

    def getSpawnsInRegion(self, rx, rz):
        # Generate each spawn point and store in regionspawns, otherwise we just get the cached spawnpoints.
        if not (rx, rz) in self.worldspawns:
            # Seed the random number gen with all 64 bits of region coordinate data by using both seed and jumpahead
            random.seed( self.seed ^ ((rx & 0xFFFF0000) | (rz & 0x0000FFFF)) )
            random.jumpahead( ((rx & 0xFFFF0000) | (rz & 0x0000FFFF)) ) 
            # First number should be number of points in region
            numspawns = self.density
            rangetop = self.rangetop
            rangebottom = self.rangebottom

            self.worldspawns[ (rx,rz) ] = {}
            currentregion = self.worldspawns[ (rx,rz) ]
            for ix in xrange(numspawns):
                blockx = random.randint( 0, CHUNK_WIDTH_IN_BLOCKS * REGION_WIDTH_IN_CHUNKS - 1 ) + rx * CHUNK_WIDTH_IN_BLOCKS * REGION_WIDTH_IN_CHUNKS
                blockz = random.randint( 0, CHUNK_WIDTH_IN_BLOCKS * REGION_WIDTH_IN_CHUNKS - 1 ) + rz * CHUNK_WIDTH_IN_BLOCKS * REGION_WIDTH_IN_CHUNKS
                blocky = random.randint( max(0, rangebottom), min(CHUNK_HEIGHT_IN_BLOCKS - 1, rangetop) ) 
                currchunkx = blockx / CHUNK_WIDTH_IN_BLOCKS
                currchunkz = blockz / CHUNK_WIDTH_IN_BLOCKS
                # We store the points for each chunk indexed by chunk
                if not (currchunkx, currchunkz) in currentregion:
                    currentregion[ (currchunkx, currchunkz) ] = []
                # We make a landmark for each point
                lmtypeix = random.randint(0, len(self.landmarklist) - 1)
                lmtype = self.landmarklist[lmtypeix] 
                #lm = lmtype(self.seed, self.terrainlayer, blockx, blockz, blocky)
                lm = copy.copy(lmtype)
                lm.setPos(blockx, blockz, blocky)
                # Lastly we append the landmark to the chunk
                currentregion[ (currchunkx, currchunkz) ].append( lm )
        return self.worldspawns[ (rx,rz) ]

 def setUp(self): 
     random.jumpahead(int(time.time()))
     num = random.randint(1, 100000)
     self.input_table = self.input_table + "_" + str(num) 
     self.output_table = self.output_table + "_" + str(num)    
     #if (not os.getenv("HADOOP_CLASSPATH")):
     #    os.putenv("HADOOP_CLASSPATH", self.getjars(":"))
     dir = os.path.dirname(os.path.realpath(__file__))
     file = os.path.join( dir, 'splits' )  
     # code, out, err = cloudshell.run(self.username, self.password, 'table RowHashTestInput\n') 
     # if out.find('no such table') == -1:
     #    code, out, err = cloudshell.run(self.username, self.password, 'deletetable RowHashTestInput\n') 
     #    self.sleep(15)
     code, out, err = cloudshell.run(self.username, self.password, "createtable %s -sf %s\n" % (self.input_table, file))
     #code, out, err = cloudshell.run('table RowHashTest\n') 
     #if out.find('no such table') == -1:
     #    code, out, err = cloudshell.run('user root\nsecret\ndeletetable RowHashTest\n') 
     #    self.sleep(15)
     code, out, err = cloudshell.run(self.username, self.password, "createtable %s -sf %s\n" % (self.output_table, file))
     command = self.buildcommand('org.apache.accumulo.examples.simple.mapreduce.TeraSortIngest',
                                 self.numrows(),
                                 self.keysizemin(),
                                 self.keysizemax(),
                                 self.minvaluesize(),
                                 self.maxvaluesize(),
                                 self.input_table, 
                                 self.getInstance(),
                                 self.getZookeepers(),
                                 self.getUsername(),
                                 self.getPassword(),
                                 self.maxmaps)
     handle = runner.start(command, stdin=subprocess.PIPE)
     log.debug("Running: %r", command)
     out, err = handle.communicate("")  
     Benchmark.setUp(self)

    def bootstrap(self, bootstrap_sample_size=1, seed=None):
        """
        Use bootstrapping to calculate the variance of the difference of two EFROC studies.

        :param bootstrap_sample_size: Number of times to resample. Defaults to 1.
        :param seed: Seed to initially pass to the random number generator. Defaults to None.

        :return: an ND Array of the bootstrapped differences.
        """
        difference_list = []
        gen = random.Random()
        gen.seed(seed)
        for count in xrange(bootstrap_sample_size):
            difference_list.append(self._resample_and_compare(gen))
            if seed is not None:
                random.jumpahead(seed)
        difference_array = np.array(difference_list)
        self.variance = np.var(difference_array)

        plt.figure()
        plt.hist(difference_array, np.ceil(np.sqrt(bootstrap_sample_size)), histtype='stepfilled')
        plt.title("Bootstrapped Estimation of $\delta A_{FE}$")
        plt.xlabel("$\delta A_{FE}$")
        plt.ylabel("Count")
        return difference_array

   def reduce_geoms(self,infile):
      if self.notrans == True:
         self.normalize()
      else:
         self.trans2intensity()
      self.finish_spectrum()
      toprint = "Original spectrum sigma: "+str(self.sigma)
      toprint += "\nPrinting original spectra:"
      self.writeoutall(infile,toprint)
      sys.stdout.flush()
      self.origintensity = self.intensity[:]
      self.exc_orig = self.exc
      self.trans_orig = self.trans
      self.nsample = self.subset

      jobs = []
      for i in range(self.ncores):
         pid = os.fork()
         if pid == 0:
            for j in range(self.jobs):
               self.pid = str(os.getpid())+"_"+str(j);
               random.seed()
               random.jumpahead(os.getpid())
               d = self.SA()
               toprint = str(self.pid)+":\tFinal D-min = "+str(d)
               toprint += "\n\tReduced spectrum sigma: "+str(self.sigma)
               toprint += "\n\tPrinting reduced spectra:"
               self.writeoutall(infile,toprint)
               self.writegeoms(infile)
               sys.stdout.flush()
            os._exit(0)
         jobs.append(pid)
      for job in jobs:
         os.waitpid(job,0)

def worker(lst):
    import random
    n, train_ds, test_ds, options, state =  lst
    random.setstate(state)
    random.jumpahead(n)
    preds, err = predict(train_ds, test_ds, options, True)
    return err

	def run(self):
		foo = time.time()
		random.jumpahead(self.N)
		time.sleep(random.random())
		
		for i in xrange(self.count):
			flag = Flag(0,i,0,foo)
			self.fc.enque(flag)

    def _make_salt(self, jump):
        salt_length = self._salt_length()
        seed = self._salt_seed()
        chars = string.ascii_uppercase + string.digits
        random.seed(seed)
        random.jumpahead(jump)

        return ''.join(random.choice(chars) for idx in range(salt_length))

	def __attack(self, game):
		if (game.frame > self.nextAttackFrame):
			## Spawn a new fruit at the monkey's location and let 'er fall!			
			guava = Guava(game, self.rect)
			game.sprites.append(guava)

			## Set the new time that the monkey should attack
			self.nextAttackFrame = game.frame + (1.0 / difficultyMul()) * random.randrange(15, 40)
			random.jumpahead(1)

def genWorkerID():
    global _randomized
    if not _randomized:
        random.jumpahead(os.getpid())
        _randomized = True
    return "worker-%02d-%02d-%02d" % (
        random.randint(0,99),
        random.randint(0,99),
        random.randint(0,99))

    def generateNextLine( self ):
        random.jumpahead(random.randint(100,1000))
        
        line = []
        line.append( '|' )

        # This will be true for every row after the finish
        # line is generated.
        if self.rows > self.rowtarget:
            for i in range(0, 5):
                line.append(' ')
            line.append('|')
            return line

        # This will only be true when the target rows
        # have been hit
        if self.rows == self.rowtarget:
            for i in range(0, 5):
                line.append('=')
            line.append('|')
            return line

        # 1% chance to generate aroadblock
        if random.randint(0, 100) > 99:
            for i in range(0, 5):
                line.append( 'X' )
            line.append('|')
            # Needs at least one open space next to another one
            x = random.randint(0, 5)
            while self.state[2][x] != ' ':
                x = random.randint(0, 5)
            line[x] = ' '
            return line
        
        # Generate a normal line with 14% chance of an obstruction
        for i in range(0, 5):
            if random.randint(0, 100) > 86:
                type = random.randint(0, 5)
                if type == 0:
                    line.append( 'r' )
                elif type == 1:
                    line.append( 'c' )
                elif type == 2:
                    line.append( 'T' )
                elif type == 3:
                    line.append( 'P' )
                elif type == 4:
                    line.append( '~' )
                else:
                    line.append( 'Z' )
            else:
                line.append( ' ' )
            
        line.append( '|' )
        
        return line

def do_test(n, do_test_1=do_test_1):
    random.jumpahead(n*111222333444555666777L)
    N = 1
    TAIL = 'lo'
    objects = [None, -1, 0, 1, 123455+N, -99-N,
               'hel'+TAIL, [1,2], {(5,): do_test}, 5.43+0.01*N, xrange(5)]
    do_test_1(objects)
    for o in objects[4:]:
        #print '%5d  -> %r' % (sys.getrefcount(o), o)
        assert sys.getrefcount(o) == 4

def calcpi(n):

        random.seed(1)
        #n=decimal.Decimal(n)
        j=0
        random.jumpahead(n)
        for i in range(n):
                x,y=random.uniform(0,1),random.random()
                if x*x+y*y<=1.0: j+=1
        return n,4.0*float(j)/float(n)

 def randomizeFoodPos(self):
     e = 0
     while True:
         newFoodX = random.randint(1, self.blocks - 2)
         random.jumpahead(random.randint(1, self.blocks - 2))
         newFoodY = random.randint(1, self.blocks - 2)
         e += 1
         print("Randomizing " + str(e))
         if self.checkCollision(newFoodX, newFoodY) == 0 or e > 500:
             break
     self.food.setPos(newFoodX, newFoodY)

 def setUp(self): 
     random.jumpahead(int(time.time()))
     num = random.randint(1, 100000)   
     #self.tablename = self.tablename + "-" + str(num)  
     # Find which hadoop version
     # code, out, err = cloudshell.run(self.username, self.password, 'table %s\n' % self.tablename)
     #if out.find('no such table') == -1:
     #    log.debug('Deleting table %s' % self.tablename)
     #    code, out, err = cloudshell.run(self.username, self.password, 'deletetable %s\n' % self.tablename)
     #    self.sleep(10)
     Benchmark.setUp(self)

 def __init__(self, name):
     self.name = name
     self.instance = Client.instance
     Client.instance += 1
     self.sock = socket.socket()
     self.rx_msg_q = Queue.Queue()
     self.receive_thread = Thread( target=self.receive_loop )
     self.receive_thread.daemon = True
     self.action_thread = Thread( target=self.action_loop )
     self.action_thread.daemon = True
     self.print_msgs = True
     self.complete = False
     random.jumpahead( self.instance+5000 )