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@消极
虽然韬光养晦，亦当奋起而争(拜登永不为奴：h.2047.one)
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外逃贪官CA
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外逃贪官CA
春分会议
“跑路的一方屡遭吐槽”
用脚本爬一下@ta的帖子看看就知道了
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外逃贪官CA
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外逃贪官CA
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外逃贪官CA
收到了grad school的offer，时隔若干年又成了一名学生，各位有何建议？
不读了睡大觉，我就是研究生院退学的，说什么也不干了。
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外逃贪官CA
🙅🏻♀️诚🙅🏻扰
老鸨要带枪营业。
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外逃贪官CA
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外逃贪官CA
入站考题feedback
请勿泄题，有意者请私信。
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外逃贪官CA
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外逃贪官CA
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外逃贪官CA
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外逃贪官CA
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外逃贪官CA
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外逃贪官CA
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外逃贪官CA
如何在“直观”上的数学期望是0甚至是负的时候赚钱
"特意买了树莓派用来键政"
好专业
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外逃贪官CA
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外逃贪官CA
本宝宝的账号终于打捞成功了 哈哈哈
你真以为本站是女权pua？我是男人
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外逃贪官CA
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外逃贪官CA
为什么人大的表决器要有弃权票？
出席弃权和不投票不一样，因为投弃权票计入总票数，不投票不计入，在需要比如3/4代表投票的情况下，投弃权票的有助于推进议案，不投票的有可能导致表决参与人数不够而作废。
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外逃贪官CA
【IYP】如何说服人们参加抗议活动
@MasterChief #131752 这说明他们仇恨的对象是社会而不是统治者。
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外逃贪官CA
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外逃贪官CA
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外逃贪官CA
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外逃贪官CA
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外逃贪官CA
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外逃贪官CA
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外逃贪官CA
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外逃贪官CA
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外逃贪官CA
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外逃贪官CA
所有考题均标注出题人
有阿离作为baseline，aint no test hard enough
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外逃贪官CA
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外逃贪官CA
所有考题均标注出题人
连阿离职高毕业的都能刷出三十多个小号。你觉得这个题目难度是影响人们注册的理由么？
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外逃贪官CA
所有考题均标注出题人
你在黑我吗？？
“2047应该热烈欢迎偏科者”
好的做题家一定是好的刷题家，做不出来换一套。
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外逃贪官CA
所有考题均标注出题人
站长，你看你这一番表演，萌妹子没来，倒是把自己人赶跑一个。
笑话里说一个人邀请别人来party，邀了四个来了三个，说一句，该来的没来。其中一个人站起来说，那我是不该来的了？于是就走了。主人叹了口气说，不该走的走了，于是第二个人说，那我是该走的了？于是也走了。主人急着挽留，说“不是说你们”，最后那个人说，那就是说我了？于是也走了。
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外逃贪官CA
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外逃贪官CA
vote ban (decision made
@rebecca #131485 @Wolfychan #131504 看到香港今天的厄运，我很庆幸自己从来没有移居香港的打算，庆幸啊。
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外逃贪官CA
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外逃贪官CA
来自锑星的问候
我亲自出道，亲自自首，亲自坐牢
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外逃贪官CA
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外逃贪官CA
赚钱的方法（概率论和计算机科学）
@thphd #131635 五年前我玩在线赌场时候有一个更加令人发指的bug（我认为足够开除他们码农了），你从博彩网站转钱到性感荷官在线发牌网站的时候，有一定bug发生double spending，也就是你这边钱还在，那边无中生有多出同样一笔钱。概率虽然小，但是只要你经常使用，早晚会碰到。反过来也有可能，你转出去，钱掉进黑洞里了。但是这时候你可以联系客服，客服调查转账记录就会手动恢复你的钱。但是系统出错多给钱的时候你就闷声发大财。
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外逃贪官CA
李翘楚：被连坐煽颠、指定监视居住的120天
@星火1959 #131531 不能，但是很多酷刑都是对付良心犯的，也就是说你只要向当局交认罪书就可以减轻处罚（“咬茱莉亚”--奥威尔1984）
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外逃贪官CA
赚钱的方法（概率论和计算机科学）
@品葱 #131632 是啊，到十一月中旬赌场上川普还有10%胜率。 @爱狗却养猫 #131633 这个是正式版的程序，生产力工具。
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外逃贪官CA
赚钱的方法（概率论和计算机科学）
我五年没用过了
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外逃贪官CA
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外逃贪官CA
赚钱的方法（概率论和计算机科学）
@thphd @libgen @爱狗却养猫 @natasha 请帮我把关于赌博程序的帖子移到树洞，谢谢，我不希望被google爬走。
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外逃贪官CA
赚钱的方法（概率论和计算机科学）
@天下无贼 #131599 我这都是中学数学，你说看不懂就不应该了吧。
好了，本期讲座“业余码农的逆袭”到此结束了。根据本人的历史经验，一天干八个小时数学期望应该有两百美元。当然前提是你有足够多的初始资金去赌场劳动。
下期预告：(没有任何注释）
28.4 v = 591; m = 6.6*10^-27; q = 3.2*10^-19; B = 0.045; Angle = 52 Degree; q*B*v/m/10^6*Sin[Angle] 1016.1 28.9 In[240]:= m = 9.11*10^-31; V1 = 1000; q = 1.6*10^-19; v = Sqrt[2 V1 q/m]; d = 0.02; V2 = 117.3; E2 = V2/d; B = E2/v*10^3 Out[247]= 0.312934 28.13 In[248]:= i = 6.6; w = 0.00015; B = 0.65; n = 8.47*10^28; q = 1.6*10^-19; i*B/n/q/w*10^6 Out[253]= 2.11039 28.24 In[254]:= m = 9.11*10^-31; V = 297.9; v = Sqrt[2 V q/m]/10^7 Out[256]= 1.02294 In[257]:= v = 1.11*10^7; B = 0.21; m*v/q/B*10^6 Out[259]= 300.955 28.5 B = {Bx, 3 Bx, 0}; v = {2, 3.5, 0}; Cross[v, B] {0., 0, 2.5 Bx} -4/2.5 -1.6 28.14 v = 5.09; v/8.5/1.2 0.49902 28.21 q = 1.6*10^-19; m = 9.11*10^-31; ke = 1200 q; r = 0.329; v = Sqrt[2 ke/m]; t = 2 Pi*r/v*10^9 100.686 28.26 mp = 1.673*10^-27; q = 1.6*10^-19; t = 223*10^-9; Pi*mp/q/t 0.147306 28.29 m = 9.11*10^-31; B = 0.3; T = 2 Pi*m/q/B; vx = 8.87*10^-6/T; F = 2*10^-15; vy = F/B/q; Sqrt[vx^2 + vy^2]/1000 85.257 29.8 R2 = 0.078; R1 = 0.0486;(*variable*) u0 = 4 Pi*10^-7; i = 0.281; -(u0*i/4/R1 - u0*i/4/R2)*10^6 -0.684656 29.11 i1 = 8.01;(*variable*) d1 = 0.75; d2 = 1.5; -i1/(d1 + d2)*d2 -5.34 29.27 i1 = 30; i2 = 40; B1 = {i1, i2}; Th = ArcTan[i2/i1]; B2 = {i2/Tan[ArcTan[i2/i1] - 36.89 Degree], i2}(*angle is variable*) {137.322, 40} 29.47 j0 = 310; a = 0.00337; 1/3*u0*j0*a/4*10^6 0.109401 29.55 n = 1000; i1 = 0.02; B1 = u0*n*i1; i2 = 6.8;(*variable*) u0*i2/2/Pi/B1*100 5.41127 28.2 In[235]:= m = 41*10^-3; q = 80*10^-6; v = 20*10^3; g = 9.8; m*g/q/v*1000 Out[239]= 251.125 q 1.6*10^-19 28.10 B = 2.5; v = 2000; ef = 5.35; (B*v + ef)*q 8.00856*10^-16 28.41 m = 0.013; L = 0.62; g = 9.81; B = 0.54; m*g/L/B 0.380914 28.56 dip = 0.15^2*Pi*2.6; Angle = 56 Degree; Sin[Angle]*dip*12 1.82836 -
外逃贪官CA
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外逃贪官CA
如何在“直观”上的数学期望是0甚至是负的时候赚钱
正是赌21点的技巧。牌对庄家有利的时候你就不玩了睡大觉。
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外逃贪官CA
关于“为什么很少有中国男人和白人女生结婚”的问题的思考
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外逃贪官CA
赚钱的方法（概率论和计算机科学）
现在该回答丽贝卡的问题了。就我的印象而言，当赔率改变的“瞬间”（我也不知道延时是多少），下注会失败。所以要尽快下注。
赔率的统计方法是用爬虫爬sportsbookreview的网站，这个程序是五年前的，由于网站改版而失效，如果要用的话，得重新调试爬虫了。我使用python和BeautifulSoup软件包。
import urllib.request from bs4 import BeautifulSoup import re import time import datetime def to_int(s): if s=='even': return 100 elif s=='Even': return 100 elif s=='EVEN': return 100 elif s=='-': return -9999 else: try: return int(s) except TypeError: return -9999 def odds_list(url,name): rotNumber=[] moneyline=[] dic={} matchname={} gamedate={} gamehour={} #c = ntplib.NTPClient() #print(c) #response = c.request('time.nist.gov', version=3) #print(time.ctime(response.tx_time)) #url = "http://www.sportsbookreview.com/betting-odds/ufc/" page=urllib.request.urlopen(url) #print(url) soup = BeautifulSoup(page.read()) #soup = BeautifulSoup(open("./sbr_"+"mlb"+"_moneyline.html")) a=[[0 for x in range(10)] for x in range(1000)] b=[[0 for x in range(10)] for x in range(1000)] i=0 j=0 #print(a) for list in soup.find_all("div", attrs={"class": re.compile("^(eventLine-book-value)")}): for ss in list.find_all("b"): if j%2==0: a[i][j//2]=to_int(ss.string) else: b[i][j//2]=to_int(ss.string) j+=1 if j==20: j=0 i+=1 i=0 #print(a) #print(b) for list1 in soup.find_all(itemprop="name"): #print(list1) matchname[i//2]=list1 dic[i]=a[i//2] i+=1 dic[i]=b[i//2] i+=1 i=0 for list2 in soup.find_all(itemprop="startdate"): #print(list2) times=list2.attrs['content'] dates=times[0:10] #print(dates) hours=times[11:16] #print(hours) gamedate[i//2]=dates gamehour[i//2]=hours #print(gamedate[i//2]) #print(gamehour[i//2]) # print(gamedate[i//2] #dic[i]=a[i//2] #moneyline[i]=line1[i//2] i+=1 #dic[i]=b[i//2] #moneyline[i]=line2[i//2] i+=1 currenttime='{:%H:%M}'.format(datetime.datetime.time(datetime.datetime.now())) currentdate=str(datetime.date.today()) #for key in dic: # print(key,dic[key],len(dic[key]),'\n') #print(gamedate) #print(gamehour) #print(matchname) #print(currenttime) #print(currentdate) for key in dic: #print(key) #print(gamedate[key//2]) #print(gamehour[key//2]) if key%2==1: if ((dic[key][2]+dic[key-1][3]>-2 or dic[key][3]+dic[key-1][2]>-2) and (gamedate[key//2]>currentdate or (gamedate[key//2]==currentdate and gamehour[key//2]>currenttime)) and dic[key][2]!=0 and dic[key][3]!=0 ): #print((gamedate[key//2]>currentdate or (gamedate[key//2]==currentdate and gamehour[key//2]>currenttime))) print(name,matchname[key//2],dic[key][2],dic[key-1][3]) print(name,matchname[key//2],dic[key][3],dic[key-1][2]) #if max(dic[key])+max(dic[key-1])>0: #print(name,matchname[key//2],max(dic[key]),max(dic[key-1])) #print(name) def odds_list_fight(url,name): rotNumber=[] moneyline=[] dic={} matchname={} gamedate={} gamehour={} #c = ntplib.NTPClient() #print(c) #response = c.request('time.nist.gov', version=3) #print(time.ctime(response.tx_time)) #url = "http://www.sportsbookreview.com/betting-odds/ufc/" page=urllib.request.urlopen(url) #print(url) soup = BeautifulSoup(page.read()) #soup = BeautifulSoup(open("./sbr_"+"mlb"+"_moneyline.html")) a=[[0 for x in range(10)] for x in range(1000)] b=[[0 for x in range(10)] for x in range(1000)] i=0 j=0 #print(a) for list in soup.find_all("div", attrs={"class": re.compile("^(eventLine-book-value)")}): for ss in list.find_all("b"): if j%2==0: a[i][j//2]=to_int(ss.string) else: b[i][j//2]=to_int(ss.string) j+=1 if j==20: j=0 i+=1 i=0 #print(a) #print(b) for list1 in soup.find_all(itemprop="name"): #print(list1) matchname[i//2]=list1 dic[i]=a[i//2] i+=1 dic[i]=b[i//2] i+=1 i=0 #print(dic) #print(line1) #print(line2) #print(matchname) for list2 in soup.find_all(itemprop="startdate"): #print(list2) times=list2.attrs['content'] dates=times[0:10] #print(dates) hours=times[11:16] #print(hours) gamedate[i//2]=dates gamehour[i//2]=hours #dic[i]=a[i//2] #moneyline[i]=line1[i//2] i+=1 #dic[i]=b[i//2] #moneyline[i]=line2[i//2] i+=1 currenttime='{:%H:%M}'.format(datetime.datetime.time(datetime.datetime.now())) currentdate=str(datetime.date.today()) #for key in dic: # print(key,dic[key],len(dic[key]),'\n') #print(dic) #print(matchname) for key in dic: #print(key) if key%2==1: if ((dic[key][0]+dic[key-1][2]>-2 or dic[key][2]+dic[key-1][0]>-2) and (gamedate[key//2]>currentdate or (gamedate[key//2]==currentdate and gamehour[key//2]>currenttime)) and dic[key][2]!=0 ): print(name,matchname[key//2],dic[key][0],dic[key-1][2]) print(name,matchname[key//2],dic[key][2],dic[key-1][0]) #if max(dic[key])+max(dic[key-1])>0: #print(name,matchname[key//2],max(dic[key]),max(dic[key-1])) #print(name) def odds_list_spread(url,name): rotNumber=[] moneyline={} gamedate={} gamehour={} dic={} matchname={} #c = ntplib.NTPClient() #print(c) #response = c.request('time.nist.gov', version=3) #print(time.ctime(response.tx_time)) #url = "http://www.sportsbookreview.com/betting-odds/ufc/" page=urllib.request.urlopen(url) #print(url) soup = BeautifulSoup(page.read()) #soup = BeautifulSoup(open("./sbr_"+"mlb"+"_moneyline.html",encoding='utf8')) a=[[0 for x in range(10)] for x in range(1000)] b=[[0 for x in range(10)] for x in range(1000)] line1=[[0 for x in range(10)] for x in range(1000)] line2=[[0 for x in range(10)] for x in range(1000)] i=0 j=0 #print(j) for list in soup.find_all("div", attrs={"class": re.compile("^(eventLine-book-value)")}): for ss in list.find_all("b"): #print(ss) if j%2==0: if ss.string: if ss.string[0:2] == "PK": # PK (Even) #print("PK") line1[i][j//2]="PK" a[i][j//2]=to_int(ss.string[2:]) else: #print(ss.string[0:2]) line1[i][j//2]=ss.string.split('\xa0')[0] a[i][j//2]=to_int(ss.string.split('\xa0')[1]) else: if ss.string: if ss.string[0:2] == "PK": # PK (Even) #print("PK") line2[i][j//2]="PK" b[i][j//2]=to_int(ss.string[2:]) else: #print(ss.string[0:2]) line2[i][j//2]=ss.string.split('\xa0')[0] b[i][j//2]=to_int(ss.string.split('\xa0')[1]) j+=1 if j==20: j=0 i+=1 i=0 #print(line1) #print(line2) #print(a) #print(b) for list1 in soup.find_all(itemprop="name"): #print(list1) matchname[i//2]=list1 dic[i]=a[i//2] #moneyline[i]=line1[i//2] i+=1 dic[i]=b[i//2] #moneyline[i]=line2[i//2] i+=1 #for key in dic: # print(key,dic[key],len(dic[key]),'\n') i=0 #print(dic) #print(line1) #print(line2) #print(matchname) for list2 in soup.find_all(itemprop="startdate"): #print(list2) times=list2.attrs['content'] dates=times[0:10] #print(dates) hours=times[11:16] #print(hours) gamedate[i//2]=dates gamehour[i//2]=hours #dic[i]=a[i//2] #moneyline[i]=line1[i//2] i+=1 #dic[i]=b[i//2] #moneyline[i]=line2[i//2] i+=1 currenttime='{:%H:%M}'.format(datetime.datetime.time(datetime.datetime.now())) currentdate=str(datetime.date.today()) for key in dic: #print(key) if key%2==1: if 1: if ((dic[key][4]+dic[key-1][3]>-2 or dic[key][3]+dic[key-1][4]>-2) and (gamedate[key//2]>currentdate or (gamedate[key//2]==currentdate and gamehour[key//2]>currenttime)) and dic[key][3]!=0 and dic[key][4]!=0 ): print(name,matchname[key//2],dic[key][4],dic[key-1][3]) print(name,matchname[key//2],dic[key][3],dic[key-1][4]) #if max(dic[key])+max(dic[key-1])>0: #print(name,matchname[key//2],max(dic[key]),max(dic[key-1])) #print(name) def odds_list_spread_fight(url,name): rotNumber=[] moneyline=[] dic={} matchname={} #c = ntplib.NTPClient() #print(c) #response = c.request('time.nist.gov', version=3) #print(time.ctime(response.tx_time)) #url = "http://www.sportsbookreview.com/betting-odds/ufc/" page=urllib.request.urlopen(url) #print(url) soup = BeautifulSoup(page.read()) #soup = BeautifulSoup(open("./sbr_"+"mlb"+"_moneyline.html",encoding='utf8')) a=[[0 for x in range(10)] for x in range(1000)] b=[[0 for x in range(10)] for x in range(1000)] line1=[[0 for x in range(10)] for x in range(1000)] line2=[[0 for x in range(10)] for x in range(1000)] i=0 j=0 #print(j) for list in soup.find_all("div", attrs={"class": re.compile("^(eventLine-book-value)")}): #print (list) for ss in list.find_all("b"): #print(ss) if j%2==0: if ss.string: line1[i][j//2]=ss.string.split('\xa0')[0] a[i][j//2]=to_int(ss.string.split('\xa0')[1]) else: if ss.string: line2[i][j//2]=ss.string.split('\xa0')[0] b[i][j//2]=to_int(ss.string.split('\xa0')[1]) j+=1 if j==20: j=0 i+=1 i=0 #print(a) #print(b) for list1 in soup.find_all(itemprop="name"): #print(list1) matchname[i//2]=list1 dic[i]=a[i//2] #moneyline[i]=line1[i//2] i+=1 dic[i]=b[i//2] #moneyline[i]=line2[i//2] i+=1 #for key in dic: # print(key,dic[key],len(dic[key]),'\n') #print(dic) #print(line1) #print(line2) #print(matchname) #print(line1) #print(line2) for key in dic: #print(key) if key%2==1: if 1: if ((dic[key][1]+dic[key-1][3]>-2 or dic[key][3]+dic[key-1][1]>-2) and dic[key][3]!=0 and dic[key][1]!=0): print(name,matchname[key//2],dic[key][1],dic[key-1][3]) print(name,matchname[key//2],dic[key][3],dic[key-1][1]) #if max(dic[key])+max(dic[key-1])>0: #print(name,matchname[key//2],max(dic[key]),max(dic[key-1])) #print(name) while(1): odds_list("http://www.sportsbookreview.com/betting-odds/tennis/","Tennis") odds_list("http://www.sportsbookreview.com/betting-odds/nfl-football/money-line/","NFL") odds_list("http://www.sportsbookreview.com/betting-odds/nfl-football/money-line/1st-half","NFL 1st half") odds_list("http://www.sportsbookreview.com/betting-odds/nfl-football/money-line/2nd-half","NFL 2nd half") odds_list("http://www.sportsbookreview.com/betting-odds/nfl-football/money-line/1st-quarter","NFL 1st quarter") odds_list("http://www.sportsbookreview.com/betting-odds/nfl-football/money-line/2nd-quarter","NFL 2nd quarter") odds_list("http://www.sportsbookreview.com/betting-odds/nfl-football/money-line/3rd-quarter","NFL 3rd quarter") odds_list("http://www.sportsbookreview.com/betting-odds/nfl-football/money-line/4th-quarter","NFL 4th quarter") odds_list("http://www.sportsbookreview.com/betting-odds/college-football/money-line/","NCAA Football") odds_list("http://www.sportsbookreview.com/betting-odds/mlb-baseball/","MLB") odds_list("http://www.sportsbookreview.com/betting-odds/nba-basketball/money-line/","NBA") odds_list("http://www.sportsbookreview.com/betting-odds/nba-basketball/money-line/1st-half","NBA 1st half") odds_list("http://www.sportsbookreview.com/betting-odds/nba-basketball/money-line/2nd-half","NBA 2nd half") odds_list("http://www.sportsbookreview.com/betting-odds/nba-basketball/money-line/1st-quarter","NBA 1st quarter") odds_list("http://www.sportsbookreview.com/betting-odds/nba-basketball/money-line/2nd-quarter","NBA 2nd quarter") odds_list("http://www.sportsbookreview.com/betting-odds/nba-basketball/money-line/3rd-quarter","NBA 3rd quarter") odds_list("http://www.sportsbookreview.com/betting-odds/nba-basketball/money-line/4th-quarter","NBA 4th quarter") odds_list("http://www.sportsbookreview.com/betting-odds/ncaa-basketball/money-line/","NCAA Basketball") odds_list("http://www.sportsbookreview.com/betting-odds/ncaa-basketball/money-line/1st-half","NCAAB 1st half") odds_list("http://www.sportsbookreview.com/betting-odds/ncaa-basketball/money-line/2nd-half","NCAAB 2nd half") odds_list("http://www.sportsbookreview.com/betting-odds/wnba-basketball/money-line/","WNBA") odds_list("http://www.sportsbookreview.com/betting-odds/nhl-hockey/","NHL") odds_list("http://www.sportsbookreview.com/betting-odds/nhl-hockey/1st-quarter","NHL 1Q") odds_list("http://www.sportsbookreview.com/betting-odds/nhl-hockey/2nd-quarter","NHL 2Q") odds_list("http://www.sportsbookreview.com/betting-odds/nhl-hockey/3rd-quarter","NHL 3Q") odds_list_fight("http://www.sportsbookreview.com/betting-odds/boxing/","Boxing") odds_list_fight("http://www.sportsbookreview.com/betting-odds/ufc/","UFC") print('{:%H:%M}'.format(datetime.datetime.time(datetime.datetime.now())))