极客时间架构师训练营 - 第五期作业

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发布于: 2020 年 11 月 21 日
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用你熟悉的编程语言实现一致性 hash 算法。
编写测试用例测试这个算法，测试 100 万 KV 数据，10 个服务器节点的情况下，计算这些 KV 数据在服务器上分布数量的标准差，以评估算法的存储负载不均衡性。
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import random
import socket
import struct
import hashlib
import math
import random
import numpy
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class Hash:
    def __init__(self, server_num, virtual_num, loop_length):
        """
        :param server_num:
            server node number
        :param virtual_num:
            virtual ip/hostname number for each node
        """
        self.server_num = server_num
        self.virtual_num = virtual_num
        self.loop_length = loop_length
        self.server = []
        self.virtual_server = {}
        # virtual server keys
        self.virtual_keys = []
        self.hashloop = {}
        self.init_hashloop()
        self.init_node()
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    def gen_virtual_server(self, server_name, virtual_num):
        """
            get virtual server name
            e.g server_name#0, server_name#1 ...
        :param server_name:
        :param virtual_num:
        :return:
        """
        virtual_server = []
        for i in range(0, virtual_num):
            virtual_server.append("{0}#{1}".format(server_name, i))
        self.virtual_server = virtual_server
        return virtual_server
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    def gen_server_name(self, server_num):
        """
            generate some server name
        :param server_num:
        :return:
        """
        server = []
        for i in range(0, server_num):
            ip = socket.inet_ntoa(struct.pack('>I', random.randint(1, 0xffffffff)))
            server.append(ip)
        self.server = server
        return server
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    def gen_hash_key(self, key):
        """
            generate hash keys
        :param key:
        :return:
        """
        m = hashlib.md5()
        m.update(key.encode('utf-8'))
        return int(m.hexdigest(), 16) % self.loop_length
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    def init_hashloop(self):
        """
            init hashloop using loop_length
        :return:
        """
        # for i in range(0, int(self.loop_length)):
        #     self.hashloop[i] = None  # default value is None
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    def init_node(self):
        servers = self.gen_server_name(self.server_num)
        for server in servers:
            for virtual_name in self.gen_virtual_server(server, self.virtual_num):
                hashkey = self.gen_hash_key(virtual_name)
                self.virtual_keys.append(hashkey)
                self.hashloop[hashkey] = server
        # sort key in descend
        self.virtual_keys.sort(reverse=False)
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    def get_near_server_by_string(self, some_string):
        """
            get the nearest server for key_pos
        :param some_string:
            some string
        :return:
            server name
        """
        # candidate_pos = pow(2, 32)
        key_pos = self.gen_hash_key(some_string)
        return  self.get_near_server_by_key(key_pos)
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    def get_near_server_by_key(self, key_pos):
        """
            get nearest server by key pos
        :param key_pos:
            position in hash loop
        :return:
            server name
        """
        for i, v in enumerate(self.virtual_keys):
            if key_pos < v:
                next = self.virtual_keys[i]
                previous = self.virtual_keys[i-1]
                if key_pos > (next-previous)/2:
                    return self.hashloop[next]
                else:
                    return self.hashloop[previous]
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        # if loop done and didn't return, means key_pos should in virtual_keys[-1] and virtual_keys[0]
        next = self.virtual_keys[0]
        previous = self.virtual_keys[-1]
        distance = next - previous + self.loop_length
        if key_pos > distance/2:
            return self.hashloop[next]
        else:
            return self.hashloop[previous]
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class BenchMark:
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    def __init__(self, test_data_num, server_num, virtual_num, loop_length):
        self.test_data_num = test_data_num
        self.server_num = server_num
        self.virtual_num = virtual_num
        self.loop_length = loop_length
        self.test_data = []
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    def generate_data(self):
        for i in range(0, self.test_data_num):
            self.test_data.append(random.randint(0, self.loop_length))
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    def do_test(self):
        result = {}
        hash = Hash(10, 150, pow(2, 32)-1)
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        print("get virtual keys = {0}".format(hash.virtual_keys))
        print("get hash loop = {0}".format(hash.hashloop))
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        self.generate_data()
        for pos in self.test_data:
            # print("pos = {0}".format(pos))
            server_name = hash.get_near_server_by_key(pos)
            # print("server_name = {0}".format(server_name))
            if server_name in result.keys():
                result[server_name] = result[server_name]+1
            else:
                result[server_name] = 0
        print("check result = {0}".format(result))
        count = [v for k, v in result.items()]
        std = numpy.std(count, ddof=1)
        return std
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class UnitTest:
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    def test_hash(self):
        # hash = Hash(10, 150, pow(2, 32)-1)
        # print("test 1, get 10 server ip")
        # print("server ip = {0}".format(hash.server))
        #
        # # print("test 2, check hash loop")
        # # print("hash loop size = {0}, content = {1}".format(len(hash.hashloop), hash.hashloop))
        #
        # print("test 3, get nearest server node ")
        # print("nearest server name = {0}".format(hash.get_near_server_by_string("hello world")))
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        print("test 4, get std for 10W data")
        bm = BenchMark(100000, 10, 150, pow(2, 32)-1)
        print("std = {0}".format(bm.do_test()))
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if __name__ == "__main__":
    ut = UnitTest()
    ut.test_hash()
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result
C:\Users\xiew3\AppData\Local\Programs\Python\Python38-32\python.exe C:/Users/xiew3/PycharmProjects/training_session_5/hash.py
test 4, get std for 10W data
get virtual keys = [2152594, 2496230, 8389661, 12486974, 13275471, 19466537, 21957782, 24089061, 24998994, 25741497, 26714360, 27715788, 28474976, 30103867, 30643100, 32280881, 33224731, 42054419, 52242242, 52792412, 56229664, 63877916, 64012438, 64716922, 64887749, 67872361, 70012486, 71097257, 77672527, 80832231, 80882311, 82403152, 83361631, 85490689, 90104112, 101015769, 102709775, 103267783, 103977643, 108274481, 108442451, 111238555, 118351263, 126407522, 133941201, 134094238, 138635879, 139875059, 141396653, 142702174, 144024396, 151351991, 157047894, 162111625, 165002420, 167444922, 171015075, 174688343, 185147473, 196681053, 198830972, 209334044, 210909882, 212806565, 214105106, 222330565, 223614336, 226008933, 226256937, 227643953, 230821860, 239939959, 241585163, 243003563, 243331076, 244368892, 255359309, 256797656, 259639036, 260636716, 262260908, 263304217, 264945178, 268199494, 269285113, 276890486, 279087260, 284555959, 285815650, 286845127, 288970949, 290931962, 291986500, 292785689, 295996216, 296210495, 301685944, 306213926, 308759529, 309343885, 310068372, 315715012, 320008226, 320092878, 323226995, 324896602, 327854326, 328332771, 331075454, 334626772, 340989265, 345595261, 349320160, 356069472, 356895148, 364435900, 367179687, 367592540, 369553746, 370843942, 372662744, 373217359, 378089257, 379807602, 380328090, 382120536, 387902601, 397720607, 399487089, 402627140, 404525164, 404810395, 404829111, 406137027, 406917734, 409337055, 410552377, 412163430, 413210586, 416370334, 419287472, 419531769, 419721280, 426325159, 433918680, 439631658, 442718357, 444514098, 444964466, 445038516, 453241632, 454567227, 455185350, 459809293, 464397746, 467116611, 470342159, 471767410, 472355369, 472658875, 474121678, 476622694, 479853133, 481630269, 483689227, 485478569, 485827576, 486211494, 487032032, 489501441, 493150579, 496390561, 497860032, 505579784, 508178936, 516947175, 521660958, 522783957, 529402912, 531027676, 540029042, 541630883, 541955169, 544139667, 545224276, 550758817, 553101906, 554111028, 554769620, 555266009, 555355402, 555721651, 560994416, 563615163, 565535055, 565795945, 567202308, 575968874, 578830776, 579184434, 581748615, 583171443, 592416682, 595240584, 595560042, 595579857, 596714263, 596748810, 597466850, 598541774, 600067478, 600875312, 603276812, 607112309, 614840589, 617440390, 619646511, 629438643, 630035747, 630106609, 633391658, 634664404, 634944373, 637292221, 638615191, 638888575, 639809014, 640078681, 640471915, 641682037, 645180220, 646995215, 649325706, 651265718, 652226551, 654639909, 655823382, 656213287, 658820068, 660225748, 676607483, 682100931, 682698825, 682838161, 683721090, 684248074, 687145278, 687648775, 696649111, 697344799, 697756449, 702753847, 704313100, 709439685, 709444333, 712748595, 712926986, 715707331, 718603374, 724353118, 726128398, 729761244, 731929566, 736970204, 745462209, 747431817, 752079503, 752374600, 753786254, 759659709, 761054225, 765767959, 767163365, 771143833, 772281309, 772669699, 772873151, 774697742, 779725906, 781611112, 785090291, 791457438, 797654633, 797938656, 799764614, 804347837, 810801707, 816548179, 816678361, 817812416, 819506807, 819552982, 820005165, 826936593, 831403377, 836045235, 841617129, 842470110, 844578518, 846801765, 847807930, 855413033, 856082881, 861267406, 863987265, 864826394, 865172837, 871450604, 872792148, 877491746, 879060355, 880483924, 888574365, 892991884, 895433819, 901603890, 906491863, 906493087, 913205509, 913789976, 914466923, 914671290, 916350483, 917265937, 918717543, 928762189, 930601163, 930807514, 933604525, 939601751, 941007195, 943168508, 953764090, 955016788, 960322970, 960481593, 965177290, 973942920, 974391711, 975629695, 976986426, 982423998, 986434025, 988258758, 990191012, 990981582, 994221507, 998643622, 1002551536, 1014493191, 1017083143, 1018082426, 1021085689, 1021162227, 1021458423, 1024393590, 1033947961, 1034009970, 1036578490, 1036804055, 1057470093, 1058427231, 1059842565, 1060096210, 1063315692, 1063911814, 1064170922, 1064378598, 1065940996, 1065979958, 1066084612, 1068242486, 1069771004, 1075862424, 1077785327, 1079619532, 1081219217, 1082150314, 1085152383, 1085772103, 1087651528, 1091040025, 1092076692, 1096675563, 1096847237, 1099691923, 1101713832, 1101741045, 1105161481, 1106166679, 1113053609, 1115357051, 1115446050, 1121895153, 1121974128, 1123441987, 1125273461, 1127128755, 1132003092, 1132405044, 1133629939, 1142816904, 1142835631, 1149164502, 1150187571, 1154592861, 1155016377, 1156796893, 1164123817, 1165055159, 1175626514, 1177363077, 1180730933, 1180812991, 1183387031, 1188538160, 1193396295, 1193446937, 1194914031, 1199584053, 1201636562, 1202984766, 1203105040, 1205267270, 1206954218, 1211462126, 1215837389, 1216138779, 1219785402, 1221322252, 1221605272, 1225807881, 1226479587, 1226606177, 1236998547, 1238350663, 1242498957, 1242542532, 1245107908, 1246802209, 1247188865, 1247936083, 1251977190, 1258460311, 1264181599, 1271793937, 1275042353, 1276338376, 1278210966, 1278242321, 1286160595, 1286314956, 1286695694, 1287023216, 1288635154, 1289548600, 1290745314, 1293546934, 1300871761, 1302359980, 1308308322, 1310374997, 1311905054, 1313975440, 1319162418, 1319908540, 1322346767, 1329529049, 1331919429, 1332439539, 1339787102, 1343463091, 1344802585, 1344905717, 1352609018, 1360290238, 1368699906, 1369270155, 1369815499, 1369992901, 1379508524, 1386267531, 1394636924, 1407320302, 1414835645, 1417491988, 1418747859, 1418765755, 1419856152, 1422916918, 1428028681, 1429353765, 1431588825, 1438387057, 1441541030, 1443319015, 1444861187, 1448594923, 1451465280, 1453887490, 1454388444, 1455403590, 1456569031, 1459190653, 1459379231, 1470877582, 1470918680, 1471086824, 1476724994, 1477529919, 1479915977, 1481037753, 1491833227, 1492898880, 1493163276, 1495511033, 1497900760, 1498268621, 1498855131, 1501056950, 1504705595, 1511619880, 1522223737, 1523889741, 1523923085, 1526560751, 1527460155, 1528008967, 1531097237, 1533233912, 1544491128, 1548874414, 1551786179, 1554812143, 1554841731, 1559664206, 1563462915, 1573141194, 1573635956, 1577644619, 1577721726, 1578814626, 1581691675, 1586255408, 1590198622, 1595804503, 1596066344, 1603937800, 1604219844, 1609671435, 1609970382, 1616709799, 1617612429, 1617674420, 1619829895, 1620911075, 1622434192, 1623309555, 1623921424, 1632260848, 1639621674, 1640360736, 1641685976, 1646234090, 1648213260, 1651152436, 1654884794, 1662159407, 1670714194, 1672767383, 1679916210, 1680813005, 1681466846, 1682182993, 1683870012, 1684051730, 1688362036, 1692568907, 1696339393, 1699587694, 1701446177, 1707250089, 1710324997, 1712830703, 1714279007, 1716088783, 1721535453, 1727885195, 1729863827, 1733884156, 1737791091, 1738238527, 1745474269, 1747607681, 1748746749, 1748748886, 1752676009, 1759640878, 1760415115, 1765943648, 1771749065, 1773620728, 1775996426, 1778203741, 1783599200, 1783802736, 1787088245, 1788494862, 1792449987, 1792546956, 1793492212, 1801089790, 1802897031, 1808770050, 1811792187, 1811811561, 1813361215, 1823475633, 1824469757, 1827431841, 1827867009, 1831801682, 1836851857, 1837170208, 1843030500, 1843557376, 1844635111, 1846932838, 1850810453, 1851382032, 1855816113, 1859972095, 1861565744, 1865065628, 1867351995, 1868682186, 1872247470, 1876063930, 1877004743, 1880141003, 1880226538, 1881497681, 1885360105, 1885717671, 1886369041, 1888762288, 1892140068, 1894487592, 1895547472, 1897468792, 1902837081, 1905279899, 1905369130, 1907887109, 1910901858, 1912207150, 1913090825, 1916167161, 1916222894, 1920879446, 1921113559, 1926601774, 1928415472, 1930552213, 1932503191, 1942388859, 1942750624, 1943607522, 1943779313, 1944037939, 1944253037, 1946313183, 1947061913, 1956612421, 1961125612, 1961361819, 1968286182, 1971768713, 1976551367, 1979546191, 1981658326, 1984019612, 1985704363, 1990897655, 1993478661, 1994396153, 1996847016, 1998483842, 1998761709, 1999073089, 2007353444, 2007450846, 2007934891, 2011494118, 2016055667, 2017864710, 2019113209, 2023809328, 2024197509, 2025173044, 2027023571, 2027749950, 2028204508, 2028723861, 2033948360, 2034576883, 2037174022, 2043944393, 2046051234, 2053759049, 2058292051, 2059543513, 2060816537, 2064140700, 2069009937, 2075457364, 2075738217, 2078983564, 2080565141, 2081721877, 2084380216, 2086965693, 2089581122, 2091341072, 2097572251, 2098643596, 2101045585, 2101100035, 2102211486, 2102326517, 2111707358, 2117557397, 2118695201, 2124265197, 2126879332, 2127058735, 2127692885, 2131741539, 2142421760, 2144007460, 2149784055, 2150210128, 2151203363, 2155085699, 2156817957, 2158432881, 2160451243, 2166944156, 2172392319, 2173022818, 2174607942, 2174662163, 2178951150, 2179871922, 2180750053, 2181351574, 2192201966, 2193624267, 2199189432, 2199723458, 2205087391, 2207467479, 2209998894, 2210365317, 2213765300, 2217621046, 2220617341, 2223468253, 2227852592, 2232376963, 2235203807, 2238113711, 2239367556, 2244894936, 2246219141, 2246590760, 2247952459, 2249720834, 2253414570, 2253837986, 2254959368, 2266228963, 2273301195, 2274534855, 2286720862, 2293256344, 2296622583, 2302899140, 2303202782, 2304050298, 2305223340, 2313561436, 2317725270, 2318864807, 2322759658, 2325471451, 2325632153, 2328815710, 2332191083, 2333401593, 2340727213, 2343758472, 2344267199, 2351427338, 2363972443, 2367297188, 2371037614, 2375460115, 2375665294, 2375926601, 2387186175, 2388088238, 2388370517, 2389424657, 2390931366, 2391545645, 2394547069, 2400393438, 2403841935, 2404923726, 2408047525, 2410224434, 2411809136, 2411893214, 2412473415, 2412489703, 2414277259, 2415082136, 2428411062, 2430569555, 2434553317, 2437759289, 2439124572, 2441438740, 2444930391, 2448912324, 2450118326, 2450136131, 2450370334, 2451594504, 2451889188, 2452330678, 2452568060, 2457770450, 2457876330, 2461368283, 2462908901, 2465025359, 2465302242, 2471571426, 2472522174, 2479311539, 2481132981, 2483063470, 2487812913, 2494285128, 2494466386, 2495082038, 2497712623, 2504393115, 2506180032, 2508943061, 2510352252, 2527923012, 2529261387, 2529273524, 2532959182, 2538448020, 2539230032, 2542155861, 2542345489, 2558834760, 2562241365, 2563509366, 2564715684, 2565419996, 2566715339, 2567323372, 2567677761, 2569900250, 2574351539, 2577481800, 2577690279, 2580785536, 2598042096, 2600453816, 2607315707, 2607380428, 2609539323, 2615133382, 2615534471, 2615798081, 2616515783, 2621177897, 2621979648, 2622412218, 2630717040, 2632522165, 2633089098, 2636303882, 2639196029, 2646591867, 2647169240, 2653812271, 2655868804, 2657900572, 2661227930, 2664976626, 2669503286, 2670968249, 2675321420, 2686411093, 2687472059, 2690703971, 2692413779, 2696832128, 2697132152, 2704074381, 2704872264, 2707093784, 2708327225, 2709068152, 2710733958, 2717230497, 2718397711, 2736628659, 2737082541, 2738168467, 2740651034, 2741794167, 2748106284, 2755770409, 2757589298, 2758889560, 2759407809, 2763467201, 2765158063, 2765307310, 2769869531, 2771180973, 2774428568, 2774585937, 2777019327, 2777950214, 2777957719, 2779888913, 2780403721, 2781378799, 2787672462, 2789037316, 2791830451, 2805373471, 2807254237, 2809891967, 2813834278, 2822095814, 2822261667, 2827936881, 2831240785, 2832539663, 2839409899, 2842672637, 2843180129, 2843350814, 2843379531, 2848259753, 2850631605, 2856609624, 2856939696, 2865469653, 2866723578, 2867328480, 2867746462, 2870071761, 2873096671, 2873116380, 2874005626, 2875494699, 2876790574, 2876882991, 2878612037, 2882482025, 2883699590, 2883833840, 2886126672, 2889988049, 2893300056, 2893812316, 2894918698, 2895715333, 2896312133, 2906413587, 2913769317, 2914522150, 2918037990, 2919090345, 2919324425, 2922554441, 2924010992, 2930121897, 2933080585, 2933614615, 2934258247, 2934403041, 2936602733, 2938712701, 2939436728, 2939813312, 2941575475, 2943800458, 2948318761, 2948890249, 2954084273, 2955573776, 2957795426, 2958914899, 2959990816, 2969262152, 2972666826, 2973757858, 2982936690, 2984251302, 2986065407, 2988522447, 2988532829, 2988803580, 2989789644, 2989926361, 2993201622, 2996421902, 2996775321, 2996873165, 2997213641, 3000384054, 3003477661, 3009355595, 3009924613, 3009976080, 3020291387, 3021201937, 3024960036, 3025400173, 3026629097, 3030096278, 3038378602, 3038861325, 3041696013, 3045277916, 3045346345, 3055672205, 3055733632, 3055763240, 3056794068, 3059466258, 3059723453, 3060911916, 3071142131, 3071422307, 3072369740, 3072742580, 3073381337, 3074166818, 3085535990, 3086224021, 3088392150, 3088485863, 3098411945, 3103757988, 3104892042, 3110209893, 3115573756, 3120091016, 3121567680, 3123905567, 3123937294, 3126264358, 3131318970, 3132494364, 3135545507, 3139112568, 3139231278, 3144728342, 3150177124, 3157524513, 3161730800, 3163241362, 3163378960, 3165911068, 3166258698, 3173645795, 3173835687, 3174417012, 3177733853, 3178828374, 3179548148, 3182873096, 3189890009, 3190259746, 3195761283, 3196037641, 3197466775, 3211338240, 3213447091, 3214340660, 3215005381, 3216171881, 3217123032, 3217329905, 3220064511, 3222120871, 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3935085456, 3938207697, 3942638959, 3944594662, 3950372157, 3952239358, 3952461952, 3956065013, 3958633213, 3959386484, 3960820483, 3961733406, 3961872079, 3962013539, 3968141779, 3973253454, 3974354563, 3976737641, 3977526765, 3980509158, 3980984803, 3981639633, 3984469464, 3987390654, 3988480205, 3988678384, 3993408880, 3995185611, 3999444715, 3999996008, 4000943136, 4004520122, 4009798455, 4014074513, 4015398493, 4017911326, 4018425789, 4022780963, 4032236326, 4033191278, 4033665813, 4042069799, 4043058614, 4043641213, 4046396383, 4053197407, 4070133391, 4072042455, 4072912497, 4074779548, 4075622183, 4083942533, 4084161102, 4086838322, 4088668064, 4093722938, 4097864822, 4097973705, 4101061938, 4109115005, 4112062734, 4112497534, 4113371353, 4115769172, 4118292606, 4118840064, 4121326473, 4125647867, 4125843014, 4134205317, 4138543909, 4139024098, 4139259050, 4139823399, 4140208518, 4141813650, 4143594685, 4145743701, 4146863421, 4150440010, 4153263526, 4156512191, 4156754558, 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get hash loop = {4086838322: '176.58.147.86', 3844829679: '176.58.147.86', 1760415115: '176.58.147.86', 3123905567: '176.58.147.86', 3721808654: '176.58.147.86', 2388370517: '176.58.147.86', 1551786179: '176.58.147.86', 27715788: '176.58.147.86', 1868682186: '176.58.147.86', 844578518: '176.58.147.86', 2155085699: '176.58.147.86', 1773620728: '176.58.147.86', 1276338376: '176.58.147.86', 772873151: '176.58.147.86', 2914522150: '176.58.147.86', 71097257: '176.58.147.86', 3217329905: '176.58.147.86', 472658875: '176.58.147.86', 1133629939: '176.58.147.86', 1036804055: '176.58.147.86', 487032032: '176.58.147.86', 474121678: '176.58.147.86', 2622412218: '176.58.147.86', 2982936690: '176.58.147.86', 2738168467: '176.58.147.86', 2481132981: '176.58.147.86', 3900605338: '176.58.147.86', 817812416: '176.58.147.86', 1344905717: '176.58.147.86', 2988522447: '176.58.147.86', 3571751769: '176.58.147.86', 554769620: '176.58.147.86', 404829111: '176.58.147.86', 406137027: '176.58.147.86', 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check result = {'176.58.147.86': 8541, '152.37.151.217': 9335, '136.197.199.83': 10594, '169.101.245.58': 11392, '42.36.234.183': 10565, '66.83.241.244': 8860, '194.59.235.236': 9511, '237.187.92.33': 9837, '20.171.105.2': 10715, '64.173.2.23': 10640}
std = 922.962380357702
﻿
Process finished with exit code 0
﻿
﻿
发布于: 2020 年 11 月 21 日阅读数: 21
原文链接:【http://xie.infoq.cn/article/dde4b1fc545b4e6d229117306】。未经作者许可，禁止转载。
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极客时间架构师训练营 - 第五期作业

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