def set_fielding(self, player_name, pitch_catches, pitch_pitches, catch_catches, catch_first, catch_second, catch_throws, in_throws, in_grounders, in_catches, out_flyballs, out_catches, out_big_throws, out_throws, out_grounders): pitcher_catches = random.randint(5,30) pitcher_pitches = random.randint(50,100) self.pitch_catches = pitcher_catches self.pitch_pitches = pitcher_pitches catcher_catches = random.randint(50,100) catcher_1st = random.randint(5,20) catcher_2nd = random.randint(20,50) catcher_throws = random.randint(30,50) self.catch_catches = catcher_catches self.catch_first = catcher_1st self.catch_second = catcher_2nd self.catch_throws= catcher_throws infield_throws = random.randint(50,80) infield_grounders = random.randint(50,80) infield_catches = random.randint(50,80) self.in_throws = infield_throws self.in_grounders = infield_grounders self.in_catches = infield_catches outfield_flyballs = random.randint(50,90) outfield_catches = random.randint(50,90) outfield_big_throws = random.randint(15,30) outfield_throws = random.ranint(50,90) outfield_grounders = random.randint(50,90) self.out_flyballs = outfield_flyballs self.out_catches = outfield_catches self.out_big_throws = outfield_big_throws self.out_throws = outfield_throws self.out_grounders = outfield_grounders
def annealing_optimaize(domain,costf,T=1000.0,cool=0.95,step=1): #创建一个随机解 vec = [float(random.ranint(domain[i][0],domain[i][1]) for i in len(domain))] while T > 0.1: #选择一个索引值 i = random.randint(0,len(domain)-1) #选择一个改变索引值的方向 dir = random.randint(-step,step) #创建一个代表题解的新列表，改变其中的一个值 vecb = vec[:] vecb[i] +=dir if vecb[i] < domain[i][0]: wecb[i] = domain[i][0] if vecb[i] > domain[i][1]: wecb[i] = domain[i][1] #计算当前的成本和新的成本 ea = costf(vec) eb = costf(vecb) if (eb < ea) or (random.random() < math.pow(math.e,-(eb-ea)/T)): vec = vecb T = t *cool return vec
def hillclimb(domain,costf): #创建一个随机解 sol = [random.ranint(domain[i][0],domain[i][1]) for i in len(domain)] min_cost = 999999.9 best_sol_index = -1 #主循环 while 1: neighbors = [] co for i in rangge(len(domain)): if sol[i] > domain[i][0]: neighbors.append(sol[0:i]+[sol[i]-1]+sol[i+1:]) if sol[i] < domain[i][1]: neighbors.append(sol[0:i] + [sol[i]+1],sol[i+1:]) current_cost = costf(sol) min_cost = current_cost for j in range(len(neighbors)): cost = costf(neighbors[j]) if cost < min_cost: min_cost = cost best_sol_index = j sol = neighbors[best_sol_index] if min_cost == current_cost: #获取的是局部最优解并非全局最优解 break
def addABunch():
print ("we're going to add a bunch of numbers to your list!")
numToAdd = input("How many new integers would you like to add? ")
numRang = input("And how high would you like these numbers to go? ")
for x in range(0,int(numToAdd)):
myList.append(random.ranint(0, int(numrange)))
print("Your list is complete!")
def roll(bumptime):
print("MK2")
check = bumptime + random.ranint(1, 20)
if check > 20:
bumptime = 0
path = "/home/torsvik/Music/hina/bump.txt"
fp = open(path, 'r+')
with open(path, "r") as text_file:
tracklist.extend(text_file.readlines())
text_file.close()
song = random.choice(tracklist)
song = song.rstrip('\n')
else:
bumptime = 0
path = "/home/torsvik/Music/hina/bump.txt"
fp = open(path, 'r+')
with open(path, "r") as text_file:
tracklist.extend(text_file.readlines())
text_file.close()
song = random.choice(tracklist)
song = song.rstrip('\n')
track = [bumptime, song]
return track
def SealedBidding(self, item, current_state,sharing = 0.6): #暗标
valuation = self.GetValuation(item, current_state)
bidding = random.randint(valuation[0], valuation[1]) * random.uniform(0.4, sharing)
if bidding > self.Wealth:
bidding = random.ranint(1, self.Wealth)
return bidding
def roll_dice():
rolled_dice = []
for i in range(0, 4):
rolled_dice.append(random.ranint(1, 6))
rolled_dice.remove(min(rolled_dice))
return sum(rolled_dice)
def getRandom(self) -> int:
result, node, index = self.head, self.head.next, 1
while node:
if random.ranint(0, index) == 0:
result = node
node = node.next
index += 1
return result.val
def mutacion(prob, gen):
#muta un gen con una probabilidad prob
if random.random < prob:
cromosoma = random.ranint(0, len(gen))
if gen[cromosoma] == 0:
gen[cromosoma] = 1
else:
gen[cromosoma] = 0
return gen
def select_action(self, current_state, step):
threshold = min(self.epsilon, step / 1000.)
if random.random() < threshold:
#Exploit best option with probability epsilon
action_q_vals = self.sess.run(self.q, feed_dict={self.x:current_state})
action_idx = np.argmax(action_q_vals)
#can be replaced by tensorflow's argmax
action = self.actions[action_idx]
else:
#Explore random option with probability 1 - epsilon
action = self.actions[random.ranint(0, len(self.actions) - 1)]
def get_comments(songs): #用歌曲id获取每首歌的评论数，评论大于30000时，写入数据库
wb = openpyxl.Workbook()
sheet = wb.active
sheet.append(['歌曲名', '评论数'])
j = 1
for song_id in songs:
time.sleep(random.ranint(3, 9))
try:
sys.stdout.write('爬取到%s首歌曲,正在处理第%s首......' % (len(songs), str(j)) +
' \r')
sys.stdout.flush()
url = "https://music.163.com/weapi/v1/resource/comments/R_SO_4_{}?csrf_token=".format(
song_id)
headers = {
"Accept":
"*/*",
"Accept-Encoding":
"gzip, deflate, br",
"Accept-Language":
"zh-CN,zh;q=0.8",
"Connection":
"keep-alive",
"Content-Length":
"516",
"Content-Type":
"application/x-www-form-urlencoded",
"Cookie":
"mail_psc_fingerprint=3717713c98660b8885cd78c8f7cb7af4; __gads=ID=d94d974e5f9dc0c5:T=1506045311:S=ALNI_MaEWN6i8X52dDZdYPjqSCSA1oVWOA; vjuids=a5e6341df.15ea74c0e75.0.941115a82a253; usertrack=ezq0pVoKgNdhb/v1BeoIAg==; _ga=GA1.2.1122557775.1510637788; [email protected]:-1:1; NTES_CMT_USER_INFO=127961435%7C%E6%9C%89%E6%80%81%E5%BA%A6%E7%BD%91%E5%8F%8B07E8Br%7C%7Cfalse%7CYnltX2Zpc2hAMTYzLmNvbQ%3D%3D; [email protected]|1533093116|2|study|00&99|sic&1532486568&other#sic&510100#10#0#0|&0||[email protected]; vjlast=1506045333.1534913055.12; vinfo_n_f_l_n3=7c5ee84b19f99a57.1.11.1506045333265.1534749967500.1534913058714; _ntes_nnid=77859a8fd70b848c2e5fdea7a8ec1565,1537943241451; _ntes_nuid=77859a8fd70b848c2e5fdea7a8ec1565; WM_NI=poupJg3ekqazNJteNkBYXZE3CUer804X%2F4YLGcAXX0UMx2%2BdRIwOaQyYTjPM4Rfc1q8HHmfNR8AOCcdk2bq3QZXc06hN7XVvjFDmNx0dNzvu1lcpmungYL9H1okhxsytSWo%3D; WM_NIKE=9ca17ae2e6ffcda170e2e6eea6b47290ac8398d47c9b9e8fa3c15b928f9e84f345a68ff997eb66f1b48792d52af0fea7c3b92ab4b1bb91c96df1bba592e4728e96bc86cd61828798bbc839818bab93bb3cf888e1d5dc4885bd8fb9db3c9793b8d3aa709297b9b0e45bbb879c8bd347f88eaa84b47bfc98888ee54692e88fb0c269a8b5fe83f43993869884b33eac92f9b9d57eaa9a8c8ecd74f4bc829bf57ff3b4ad91f07faeb997adbc44f3b1a589fb79bbac9db8ee37e2a3; WM_TID=%2FpNEMn3K7dpAQRAQVFZ4LRIkhO7GGB%2FE; JSESSIONID-WYYY=IYJQGhbMhvYpNnF3f4iogiPNeGi8GsquRsTrIDWwK9K7Q%2Bh7lrli31qXlZy%2Bk%2FuCRyWYCfqMCXqJIOwAZxtu9nEYVOpCrVTuu65r5xe4C%5Cuuc38QEufvMjTIwTAPH%5CwhQRXN9xWUKFdKfOgb1WyYUPatUQEJrIsiMM8zJ4KYuzcA%5CyIM%3A1540956410507; _iuqxldmzr_=32; __utma=94650624.1651417532.1507777869.1540547393.1540952871.28; __utmb=94650624.15.10.1540952871; __utmc=94650624; __utmz=94650624.1540952871.28.12.utmcsr=baidu|utmccn=(organic)|utmcmd=organic; MUSIC_U=9de0b492647e4661d0d11bc392fe83c4dfe007791dc6e29dc69d1ce280c1d9fd5b1322b5d7d05f61973d23dfe458bad1bff748db9e9cfbf8642a565388478f73305842396b5dfc01; __remember_me=true; __csrf=ffb8bec0672477b21e4ed7532296cfa7",
"Host":
"music.163.com",
"Origin":
"https://music.163.com",
"Referer":
"https://music.163.com/song?id={}".format(song_id),
"User-Agent":
"Mozilla/5.0 (Windows NT 10.0; WOW64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/60.0.3112.113 Safari/537.36"
}
params = 'ZIDK9Nv/D67iZW2GGf49SCAKLOIjH3gFjcT+pO7mK6GEzMGHfBTgpZdTDifpAptBjSSXJLIajcU28SPmL1IpdVHxyWyLgDYW0Tu2rcJBbZptosH9I1bKlajbn6zNBo7iRV0sa5ETl6DoPwzFZvZa3T6OvCAmYnGHMDoeH4lXugQdp7chtCt+aX5eV1qoGlFjLzNumFSfqDCCJ0lqjWvqqZ9WTYzZy1hphjl55cEdeD4='
encSecKey = '55c149ec4ed08650753e8856c9d96d9df0e9ca4bfcd3a9ca219dd0b0da8e3b818dc64195f1889af0c738edfc31b68e26d89591bf537581b9984d25191e47f2d64bed45947db700a6647cc34c48312daec15b3a917d582208824090f044549702556e757c424a1fa06cf17cafec19422844f9a9ed31322e204d5a2edcb7270133'
data = {'params': params, 'encSecKey': encSecKey}
res = requests.post(url, headers=headers, data=data)
comment = json.loads(res.text)
song_comment = comment['total']
if song_comment > 30000:
sheet.append([songs[song_id], song_comment])
#print('%s 评论总计==> %s'%(songs[song_id],song_comment))
else:
pass
except Exception as e:
print('歌曲id ==> %s 报错,原因如下: %s' % (song_id, e))
continue
j += 1
wb.save('wy_count_>1002.xlsx')
def downloadHtml(url,
headers=[],
proxy={},
timeout=None,
decodeInfo="utf-8",
num_retries=10,
ues_proxy_ratio=5):
'''
一个完善的下载网页的逻辑
支持User-Agent
支持Proxies
支持Headers
超时的考虑
编码问题，如果不是utf-8怎么处理
服务器返回5xx的错误
客户端出现4xx的错误
考虑延时的问题
'''
time.sleep(random.ranint(1, 3))
# 调整是否使用代理
if random.randint(1, 10) > ues_proxy_ratio:
proxy = None
html = None
# 创建ProxyHandler
proxy_support = request.ProxyHandler(proxy)
# 创建openr
opener = request.build_opener(proxy_support)
# 设置user-agent
opener.add_handlers = headers
# 安装openr
request.install_opener(opener)
try:
# 可能出现编码异常，网络下载异常：客户端、服务器（404，403）
res = request.urlopen(url)
html = res.read().decode(decodeInfo)
except UnicodeDecodeError:
print("编码出错")
except error.URLError or error.HTTPError as e:
if hasattr(e, 'code') and 400 <= e.code < 500:
print('客户端错误')
elif hasattr(e, 'code') and 500 <= e.code < 600:
print('正在尝试重新获取')
if num_retries > 0:
time.sleep(int(200 / num_retries))
downloadHtml(url, headers, proxy, timeout, decodeInfo,
num_retries - 1)
return html
def rain(self):
# TODO. Append a new Raindrop to this Cloud's list of Raindrops,
# TODO where the new Raindrop starts at:
# TODO - x is a random integer between this Cloud's x and this Cloud's x + 300.
# TODO - y is this Cloud's y + 100.
randomx = self.x + random.ranint(0, 100)
raindrop = Raindrop(self.screen, randomx, self.y, "cat.jpg")
self.raindrops.append(raindrop)
for k in range(len(self)):
raindrop = self.raindrops[k]
raindrop.move()
raindrop.draw()
def mutateRna(seq, tDimerProb, ranSwapProb, ranDelProb, ranAddProb):
tDimerLocs = tDimers(seq)
tDimerProb = 10000000 * tDimerProb
ranSwapProb = 10000000 * ranSwapProb
ranDelProb = 10000000 * ranDelProb
ranAddProb = 10000000 * ranAddProb
for tDimer in tDimerLocs:
if random.randint(10000000) <= tDimerProb:
seq = seq[:tDimer] + seq[tDimer + 1:]
for i in seq.len():
if random.randint(10000000) <= ranDelProb:
seq = seq[:i] + seq[i + 1:]
for j in seq.len:
if random.ranint(10000000) <= ranSwapProb:
baseChoice = random.ranint(4)
baseList = ["a", "u", "c", "g"]
seq = seq[:i - 1] + baseList[baseChoice] + seq[i + 1:]
for k in seq.len():
if random.ranint(10000000) <= ranAddProb:
baseChoice = random.ranint(4)
baseList = ["a", "u", "c", "g"]
seq = seq[:i] + baseList[baseChoice] + seq[i + 1:]
return seq
def costumer():
tramit = rn.randint(1, 5)
# 1 -> Deposit, Withdraw, Loan Payment
# 2 -> Western Union
# 3 -> Customer Service Information
# 4 -> Preferred, Prime Account
# 5 -> Account Opnening
if tramit == 1:
time_pross = rn.randint(3, 7)
print(time_disp)
print(tramit, ' ', time_pross)
elif trammit == 2:
time_pross = rn.randint(3,5)
elif tramit == 3:
time_pross = rn.randint(5, 15)
elif tramit == 4:
timepross = rn.ranint()
def lots_of_animals(n):
animals = []
while n > 0:
a_name = random.choice(names)
a_height = random.randint(5, 501)
a_weight = random.randint(2, 2001)
a_color = random.choice(colors)
a_legs = random.ranint(0, 5)
a_specices = random.choice(species_names)
if a_specices == "Rodents" or a_species == "Canine":
a_mammal = True
else:
a_mammal = False
a_animal = ExoticAnimals(a_name, a_height, a_weight, a_color, a_legs,
a_specices, a_mammal)
animals.append(a_animal)
n = n - 1
return animals
def tree_topology_build(count, size=None):
import random
if not size:
size = random.randint(2, 20)
tree_topology = open("tree_topology" + str(count), 'w')
ES_size = -1
SW_size = 0
for i in range(size - 1):
node_is_SW = random.randint(0, 1)
if not node_is_SW:
ES_size += 1
tree_topology.write("SW" + str(random.randint(0, SW_size)) +
" ES" + str(ES_size) + "\n")
else:
SW_size += 1
tree_topology.write("SW" + str(random.ranint(0, SW_size - 1)) +
" SW" + str(SW_size) + "\n")
tree_topology.flush()
tree_topology.close()
def puzzle_building_search(allTiles):
while len(allTiles) > 1: # while we have more than one tile
# get up to 20 random tiles from the list
tempTileArray = []
if (len(allTiles) > 20):
for i in xrange(20):
randomNum = random.ranint(0, len(allTiles) - 1)
tempTileArray.append(allTiles.pop(randomNum))
else:
tempTileArray = allTiles
# preform a uniform cost search
tempNode = Node(tempTileArray, [], 0, [], 0,
0) # make a starting node for a uniform cost search
outputNode, count = uniform_cost(tempNode) # preform search
# group tiles together
newList = find_matches(outputNode.placed_tiles)
# add tiles back onto the list of tiles
for i in len(newList):
allTiles.append(newList[i])
return allTiles[0]
def workerNmap(number, delay):
ip = random.choice(config.ipList)
ran = random.randint(0, 6)
for x in range(random.ranint(10, 20)):
if ran == 0:
strRun = "nmap " + ip
elif ran == 1:
strRun = "nmap –vv –n –sS " + ip
elif ran == 2:
strRun = "nmap –vv –n –sT " + ip
elif ran == 3:
strRun = "nmap –vv –n –sF " + ip
elif ran == 4:
strRun = "nmap –vv –n –sU " + ip
elif ran == 5:
strRun = "nmap –vv –sA " + ip
else:
strRun = "nmap –vv –sP " + ip
_file = open('/web/traffic/traffic' + str(number) + '.txt', 'a')
_file.write(strRun + '\n')
_file.write(str(delay) + '\n')
_file.close()
os.system(strRun)
time.sleep(str(delay))
def random_word():
idx = random.ranint(0, len(WORDS) - 1)
return WORDS[idx]
def genKey():
key = []
# Random integers can be between 2 (1 would make no difference and the amount of characters)
key.append(random.ranint(2, len(SYMBOLS)))
key.append(random.ranint(len(SYMBOLS)))
return key
import random
highest=10
answer=random.ranint(1,highest)
print(answer)
print("Please guess number between 1 and {}: ".format(highest))
guess = int(input())
while guess !=answer:
if guess < answer:
print("Please guess higher")
else:
print ('Please guess lower')
print("You got it the first time")
# if guess == answer:
# print("You got it the first time")
# else:
# if guess < answer:
# print("Please guess higher")
# else: # guess must be greater than answer, not equal to.
# print ('Please guess lower')
# guess = int(input())
# if guess == answer:
# print("Well done, you guessed it")
# else:
# print("Sorry, you have not guessed correctly")
def color_random():
return [random.ranint(0, 255) for r in range(3)]
if snake[0][0] in [0, sh] or snake[0][1] in [0, sw
] or snake[0] in snake[1:]:
curses.endwin()
quit()
new_head = [snake[0][0], snake[0][1]]
if key == curses.KEY_DOWN:
new_head[0] += 1
if key == curses.KEY_UP:
new_head[0] -= 1
if key == curses.KEY_LEFT:
new_head[0] -= 1
if key == curses.KEY_RIGHT:
new_head[0] += 1
SNAKE.INSERT(0, new_head)
if snake[0] == food:
food = None
while food is None:
nf = [random.ranint(1, sh - 1), random.ranint(1, sw - 1)]
food = nf if nf not in snake else None
w.addch(food[0], food[1], curses.ACS_PI)
else:
tail = snake.pop()
w.addch(tail[0], tail[1], '')
w.addch(snake[0][0], snake[0][1], curses.ACS_CKBOARD)
f = open('game.txt')
score = f.read().split()
game_times=score[0]
min_times=score[1]
totle_times=score[2]
print game_times
print min_times
print totle_times
if game_times > 0:
avg_times = float(totle_times) / game_times
else:
avg_times=0
print "you played %d times,the min time is %d,and the avg time is %2f" %(game_times,min_times,avg_times)
f.close()
########guess###############
num = ranint(1,100)
print "what is you name:"
name = raw_input()
print "what i think:"
bingo == False
times = 0
while bingo == False:
time += 1
answer = input()
if answer > num:
print "too big"
if answer < num:
print "too small"
if answer == num:
print "bingo!!!!"
bingo == True
# Gra jaka to liczba polega na zgadywaniu w jak najmniejszej ilości prób liczb z zakresu od 1 do 1000.
print("Witaj w grze 'Jaka to liczba'")
import random
losowa_liczba = random.ranint(1,1000)
print("Spróbuj zgadnąć w jak najmniejszej liczbie prób liczbę z zakresu od 1 do 1000 ")
liczba = int(input("Podaj szukaną liczbę, z zakresu od 1 do 1000: "))
input("Aby zakończyć program, naciśnij klawisz Enter.")
def CCPivot(g):
pivot = g.node[random.ranint(0, len(g.node))]
sys.exit(0)
# Now let's begin feeding teh drive test cases until we can't bear
# it anymore! CTRl-C to exit the loop and stop fuzzing
while 1:
# Open the log file first
fb = open("my_ioctl_fuzzer.log", "a")
# Pick a random device name
current_device = valid_devices[random.randint(0,
len(valid_devices) - 1)]
fb.write("[*] Fuzzing: %s\n" % (current_device))
# Pick a random IOCTL code
current_ioctl = ioctl_list(random.ranint(0, len(valid_devices) - 1))
fb.write("[*] With IOCTL: 0x%08x\n" % (current_ioctl))
# Choose a random length
current_lenght = random.randint(0, 10000)
fb.write("[*] Buffer length: %d\n" % (current_lenght))
# Let's test with a buffer of repating As
# Fell free to create your own test cases here
in_buffer = "A" * current_length
# Give the IOCTL run an out_buffer
out_buf = (c_char * current_lenght)()
bytes_returned = c_ulong(current_lenght)
# Obtain a handle
def generateReads(genome, numReads, readLen):
reads = []
for _ in range(numReads):
start = random.ranint(0, len(genome) - readLen) - 1
read.append(genome[star:start + readLen])
return reads
def get_random_proxy(ip_list):
length = len(ip_list)
random_num = random.ranint(0, length)
return ip_list[random_num]
