\u7b2c\u4e00\u90e8\u5206 \u4fe1\u606f\u6280\u672f (\u5171 50 \u5206)
\n\u4e00\u3001\u9009\u62e9\u9898 (\u672c\u5927\u9898\u5171 9 \u5c0f\u9898\uff0c\u6bcf\u5c0f\u9898 3 \u5206\uff0c\u5171 27 \u5206\u3002\u6bcf\u5c0f\u9898\u5217\u51fa\u7684\u56db\u4e2a\u5907\u9009\u9879\u4e2d\u53ea\u6709\u4e00\u4e2a\u662f\u7b26\u5408\u9898\u76ee\u8981\u6c42\u7684\uff0c\u4e0d\u9009\u3001\u591a\u9009\u3001\u9519\u9009\u5747\u4e0d\u5f97\u5206)<\/p>\n
\u9605\u8bfb\u4e0b\u5217\u6750\u6599\uff0c\u56de\u7b54\u7b2c 1 \u81f3 2 \u9898\u3002\u67d0\u5e02\u4e3a\u6253\u9020 “\u667a\u80fd\u5b89\u9632\u9884\u8b66\u7cfb\u7edf”, \u5728\u8be5\u5e02\u7684\u5404\u4e2a\u516c\u5171\u533a\u57df\u90e8\u7f72\u4e86\u667a\u80fd\u6444\u50cf\u5934\u3001\u7ea2\u5916\u4f20\u611f\u5668\u7b49\u8bbe\u5907\uff0c\u5e76\u901a\u8fc7 5G\u3001\u5149\u7ea4\u4e13\u7ebf\u7b49\u6570\u636e\u4f20\u8f93\u81f3\u670d\u52a1\u5668\uff0c\u7cfb\u7edf\u5bf9\u83b7\u53d6\u7684\u6d77\u91cf\u5b89\u9632\u6570\u636e\u8fdb\u884c\u5206\u6790\u5904\u7406\uff0c\u5982\u679c\u53d1\u73b0\u5b58\u5728\u5b89\u5168\u9690\u60a3\uff0c\u8b66\u60c5\u54cd\u5e94\u7cfb\u7edf\u4f1a\u81ea\u52a8\u5411\u76f8\u5e94\u7684\u7ec8\u7aef\u8bbe\u5907\u53d1\u9001\u8b66\u62a5\u4fe1\u606f\u3002
\n1. \u5173\u4e8e\u8be5\u7cfb\u7edf\u4e2d\u5b89\u9632\u6570\u636e\u7684\u63cf\u8ff0\uff0c\u6b63\u786e\u7684\u662f(\u00a0 \u00a0)\u00a0
\nA. \u90fd\u662f\u7ed3\u6784\u5316\u6570\u636eB. \u4e0d\u80fd\u901a\u8fc7\u6709\u7ebf\u7f51\u7edc\u4f20\u8f93
\nC. \u53ea\u6709\u89c6\u9891\u8fd9\u4e00\u79cd\u8868\u73b0\u5f62\u5f0fD. \u80fd\u4e3a\u9884\u5224\u5b89\u5168\u9690\u60a3\u63d0\u4f9b\u4f9d\u636e<\/p>\n
2. \u4e0b\u5217\u4f53\u73b0\u4e86\u8be5\u7cfb\u7edf\u6570\u636e\u52a0\u5de5\u5904\u7406\u529f\u80fd\u7684\u662f
\nA. \u7ea2\u5916\u4f20\u611f\u5668\u91c7\u96c6\u6570\u636eB. \u6316\u6398\u5b89\u9632\u6570\u636e\u8f85\u52a9\u51b3\u7b56
\nC. \u670d\u52a1\u5668\u5b58\u50a8\u5404\u7c7b\u6570\u636eD. \u8b66\u62a5\u4fe1\u606f\u53d1\u9001\u81f3\u7ec8\u7aef<\/p>\n
3. \u67d0\u4e2a\u6444\u50cf\u5934\u62cd\u6444\u4e86\u4e00\u6bb5\u5b58\u50a8\u5bb9\u91cf\u4e3a 4GB \u7684\u89c6\u9891\uff0c\u6309 20:1 \u8fdb\u884c\u538b\u7f29\uff0c\u518d\u5e73\u5747\u5206\u5272\u6210 20 \u4e2a\u89c6\u9891\u5c0f\u7247\u6bb5\u4e0a\u4f20\u670d\u52a1\u5668\uff0c\u5219\u6bcf\u4e2a\u89c6\u9891\u5c0f\u7247\u6bb5\u7684\u5b58\u50a8\u5bb9\u91cf\u7ea6\u4e3a<\/p>\n
A.10MB\u00a0 \u00a0B.10KB\u00a0 \u00a0C.20MB\u00a0 \u00a0 D.20KB<\/p>\n
\n\u9605\u8bfb\u4e0b\u5217\u6750\u6599\uff0c\u56de\u7b54\u7b2c 4 \u81f3 8 \u9898\u3002\u67d0\u96f6\u552e\u5e97\u63a8\u51fa\u667a\u80fd\u8d2d\u7269\u624b\u63a8\u8f66\uff0c\u652f\u6301\u5b9e\u65f6\u8ba1\u4ef7\u548c\u81ea\u52a9\u7ed3\u8d26\u3002\u624b\u63a8\u8f66\u914d\u5907\u89e6\u6478\u5c4f\u3001\u80fd\u81ea\u52a8\u79f0\u91cd\u7684\u5185\u7f6e\u79e4\u548c\u96c6\u6210 AI \u7b97\u6cd5\u7684\u667a\u80fd\u6444\u50cf\u5934\u7b49\u8bbe\u5907\u3002\u667a\u80fd\u6444\u50cf\u5934\u8bc6\u522b\u5546\u54c1\u540e\uff0c\u7cfb\u7edf\u901a\u8fc7\u7f51\u7edc\u4ece\u670d\u52a1\u5668\u6570\u636e\u5e93\u4e2d\u83b7\u53d6\u8be5\u5546\u54c1\u7684\u4fe1\u606f\uff0c\u5e76\u5728\u89e6\u6478\u5c4f\u4e0a\u663e\u793a\u5546\u54c1\u4fe1\u606f\u53ca\u7d2f\u8ba1\u91d1\u989d\u3002\u7528\u6237\u53ef\u76f4\u63a5\u5728\u89e6\u6478\u5c4f\u4e0a\u786e\u8ba4\u8d26\u5355\uff0c\u5b8c\u6210\u624b\u673a\u626b\u7801\u652f\u4ed8\u540e\uff0c\u7cfb\u7edf\u751f\u6210\u7535\u5b50\u8d2d\u7269\u51ed\u8bc1\u3002
\n4. \u4e0b\u5217\u5c5e\u4e8e\u8be5\u96f6\u552e\u5e97\u8d2d\u7269\u7cfb\u7edf\u786c\u4ef6\u7684\u662f\u2460\u667a\u80fd\u6444\u50cf\u5934 \u2461\u5185\u7f6e\u79e4 \u2462\u89e6\u6478\u5c4f \u2463\u6570\u636e\u5e93 \u2464\u7535\u5b50\u8d2d\u7269\u51ed\u8bc1A.\u2460\u2461\u2462B.\u2461\u2462\u2463C.\u2462\u2463\u2464D.\u2460\u2462\u2464
\n5. \u7cfb\u7edf\u6709\u65f6\u4f1a\u51fa\u73b0\u5546\u54c1\u8bc6\u522b\u9519\u8bef\u7684\u60c5\u5f62\uff0c\u4e0b\u5217\u539f\u56e0\u5206\u6790\u4e2d\u4e0d\u53ef\u80fd\u7684\u662fA. \u5546\u54c1\u5916\u5f62\u76f8\u4f3c\u5ea6\u592a\u9ad8B.AI \u7b97\u6cd5\u8bad\u7ec3\u6570\u636e\u4e0d\u8db3C. \u5546\u54c1\u5355\u4ef7\u968f\u5e02\u573a\u8c03\u6574D. \u73af\u5883\u5149\u7ebf\u5f71\u54cd\u5f71\u50cf\u8d28\u91cf
\n6. \u4e0b\u5217\u987e\u5ba2\u548c\u5546\u5bb6\u7684\u505a\u6cd5\u4e2d\uff0c\u6709\u5229\u4e8e\u4fe1\u606f\u5b89\u5168\u7684\u662fA. \u5546\u5bb6\u5411\u4f9b\u5e94\u5546\u5171\u4eab\u7528\u6237\u7684\u6d88\u8d39\u6570\u636eB. \u5546\u5bb6\u4ee5\u660e\u6587\u65b9\u5f0f\u4fdd\u5b58\u7528\u6237\u6570\u636eC. \u987e\u5ba2\u4f7f\u7528\u516c\u5171 Wi-Fi \u8fdb\u884c\u626b\u7801\u652f\u4ed8D. \u987e\u5ba2\u8f93\u5165\u652f\u4ed8\u5bc6\u7801\u65f6\u9632\u6b62\u65c1\u7aa5
\n7. \u667a\u80fd\u8d2d\u7269\u624b\u63a8\u8f66\u5b8c\u6210\u5b9e\u65f6\u8ba1\u4ef7\u4e3b\u8981\u5305\u62ec\u4ee5\u4e0b\u6b65\u9aa4:\u2460\u67e5\u8be2\u6570\u636e\u5e93\uff0c\u83b7\u53d6\u5546\u54c1\u4fe1\u606f\u2461\u5b9e\u65f6\u8ba1\u7b97\u603b\u4ef7\uff0c\u5e76\u663e\u793a\u5728\u89e6\u6478\u5c4f\u4e0a\u2462\u667a\u80fd\u6444\u50cf\u5934\u8bc6\u522b\u5546\u54c1\uff0c\u5e76\u5c06\u6570\u636e\u5b9e\u65f6\u4f20\u8f93\u5230\u670d\u52a1\u5668\u6b63\u786e\u7684\u6d41\u7a0b\u662fA.\u2460\u2461\u2462B.\u2460\u2462\u2461C.\u2462\u2460\u2461D.\u2462\u2461\u2460
\n8. \u8be5\u5e97\u63a8\u51fa\u8d2d\u7269\u4f18\u60e0\u6d3b\u52a8\uff1a\u8d2d\u7269\u6d88\u8d39\u91d1\u989d s \u8fbe\u5230 100 \u5143\u6216\u5546\u54c1\u79cd\u7c7b n \u6ee1 5 \u79cd\uff0c\u6d88\u8d39\u91d1\u989d s \u6253 9 \u6298\u3002\u4e0b\u5217 Python \u7a0b\u5e8f\u6bb5\u80fd\u5b9e\u73b0\u6309\u8be5\u89c4\u5219\u8ba1\u4ef7\u7684\u662f\u2460d=1if s>=100 and n>=5:d=0.9print (“\u91d1\u989d:”,sd)
\n\u2461
\nd=1
\nif s>=100 or n>=5:
\nd=0.9
\nprint (“\u91d1\u989d:”,sd)\u2462d=1if s>=100:d=0.9elif n>=5:d=0.9print (“\u91d1\u989d:”,sd)
\n\u2463
\nd=1
\nif s>=100:
\nd=0.9
\nif n>=5:
\nd=0.9
\nprint (“\u91d1\u989d:”,sd)A.\u2460\u2461\u2462B.\u2461\u2462\u2463C.\u2460\u2461\u2463D.\u2460\u2462\u2463
\n9. \u67d0 Python \u7a0b\u5e8f\u6bb5\u5982\u4e0b:a=[6, 8,6,5,3,4]total=0;pos=-1;c=0for i in range (len (a)):total=total+a [i]c=c+1if c>=4:if total>=20:total=total-a [i-3]pos=iprint (pos)\u8be5\u7a0b\u5e8f\u6bb5\u8fd0\u884c\u540e\uff0c\u8f93\u51fa\u7684\u7ed3\u679c\u662fA.5B.4C.3
\n\u4e8c\u3001\u975e\u9009\u62e9\u9898 (\u672c\u5927\u9898\u5171 2 \u5c0f\u9898\uff0c\u5176\u4e2d\u7b2c 10 \u5c0f\u9898 10 \u5206\uff0c\u7b2c 11 \u5c0f\u9898 13 \u5206\uff0c\u5171 23 \u5206)
\n10. \u67d0\u7814\u7a76\u5c0f\u7ec4\u5f00\u53d1 “\u98df\u5802\u5c31\u9910\u7ba1\u7406\u7cfb\u7edf”, \u5176\u9875\u9762\u89c4\u5212\u5982\u7b2c 10 \u9898\u56fe a \u6240\u793a\uff0c\u7528\u6237\u53ef\u901a\u8fc7\u6d4f\u89c8\u5668\u67e5\u8be2\u3001\u7ba1\u7406\u6570\u636e\u7b49\u3002\u8bf7\u56de\u7b54\u4e0b\u5217\u95ee\u9898:(1) \u7528\u6237\u67e5\u770b\u8d26\u5355\u65f6\uff0c\u8bbf\u95ee\u7684\u5b50\u9875\u9762\u5730\u5740\u662fhttp:\/\/192.168.0.11:5000\/______(2) \u9664\u4e86\u56fe a \u6240\u793a\u7684\u5b50\u9875\u9762\u5916\uff0c\u4e3a\u8be5\u7cfb\u7edf\u518d\u8bbe\u8ba1 1 \u4e2a\u5b50\u9875\u9762\uff0c\u5e76\u7b80\u8981\u8bf4\u660e\u5176\u529f\u80fd\u3002
\nhttp:\/\/192.168.0.11:5000 \u670d\u52a1\u5668\u4e3b\u9875\u5b50\u9875\u9762 1: \u8d26\u53f7\u7ba1\u7406 \/login \u7ba1\u7406\u5404\u7c7b\u8d26\u53f7\u5b50\u9875\u9762 2: \u5957\u9910\u70b9\u8bc4 \/comment \u7528\u6237\u70b9\u8bc4\u5957\u9910\u5b50\u9875\u9762 3: \u8d26\u5355\u67e5\u8be2 \/view \u7528\u6237\u67e5\u8be2\u8d26\u5355\u7b2c 10 \u9898\u56fe a
\n(3) \u7814\u7a76\u5c0f\u7ec4\u5c06\u56db\u6708\u4efd\u6570\u636e\u5bfc\u51fa\u5230\u6587\u4ef6 data.xlsx, \u90e8\u5206\u6570\u636e\u5982\u56fe b \u6240\u793a\uff0c\u7edf\u8ba1\u8be5\u6708\u6bcf\u5929\u5348\u9910\u65f6\u95f4\u5957\u9910 A\u3001\u5957\u9910 B\u3001\u5957\u9910 C \u7684\u6d88\u8d39\u6570\u91cf\uff0c\u5e76\u7ed8\u5236\u6298\u7ebf\u56fe\uff0c\u5982\u56fe c \u6240\u793a\u3002
\n\u8868\u683c
\nA B C D E F G
\n1 \u8d26\u53f7 \u6708 \u65e5\u9910\u6b21 \u5957\u9910\u7c7b\u522b\u6570\u91cf
\n2 8BA19421 4 1 \u65e9 \u5957\u9910 A 1
\n105 C670775E 4
\n106 8BA19421 4 \u5348 \u5957\u9910 F
\n107 9604E64D 4 1 \u5348 \u5957\u9910 C 2
\n9833 1771F985 4 30 \u665a \u5957\u9910 Y 2
\n9834 86RDCA4D 4 30 \u665a \u5957\u9910 A 1
\n\u7b2c 10 \u9898\u56fe b\u56db\u6708\u5957\u9910 A\u3001B\u3001C \u6570\u91cf\u7edf\u8ba1 (\u5348\u9910)200\u5957\u9910 A \u5957\u9910 C\u7b2c 10 \u9898\u56fe c
\n\u5b9e\u73b0\u8be5\u529f\u80fd\u7684\u90e8\u5206 Python \u7a0b\u5e8f\u5982\u4e0b\uff0c\u8bf7\u9009\u62e9\u5408\u9002\u7684\u4ee3\u7801\u586b\u5165\u5212\u7ebf\u5904 (\u5355\u9009)\u3002
\npython
\n\u8fd0\u884c
\ntcz=[“\u5957\u9910A”,”\u5957\u9910B”,”\u5957\u9910C”]
\nfor tc in tcz:
\n#\u7b5b\u9009
\ndfl=df[df[“\u9910\u6b21”]=”\u5348”]
\n#\u8bfb\u53d6\u6587\u4ef6\u4e2d\u7684\u6570\u636e
\ndf=pd.read_excel(“data.xlsx”)
\n#\u5bfc\u5165matplotlib\u7ed8\u56fe\u5e93\u7684pyplot\u5b50\u5e93
\nimport matplotlib.pyplot as plt
\n#\u5bfc\u5165pandas\u6a21\u5757
\nimport pandas as pd
\n#\u5206\u7ec4\u7edf\u8ba1
\n#\u7ed8\u5236tc\u7684\u6298\u7ebf\u56fe,\u4ee3\u7801\u7565
\n#\u663e\u793a\u5982\u56fec\u6240\u793a\u7684\u6298\u7ebf\u56fe,\u4ee3\u7801\u7565
\n1 \u548c 2 \u5904\u53ef\u9009\u7684\u4ee3\u7801\u6709:A.df2=dfl [df [“\u5957\u9910”]==tc]B.df2=dfl [df [“\u5957\u9910\u7c7b\u522b”]==tc]C.df2=df2.groupby (“\u65e5”, as_index=False). \u6570\u91cf.sum ()
\n(4) \u89c2\u5bdf\u56fe c, \u4ece\u6574\u4f53\u4e0a\u770b\uff0c\u5348\u9910\u6700\u53d7\u6b22\u8fce\u7684\u5957\u9910\u7c7b\u522b\u662f______
\n11. \u5c31\u9910\u7528\u6237\u7684\u8bc4\u4ef7\u6570\u636e\u7ecf\u9884\u5904\u7406\u540e\u4ec5\u5305\u542b\u6c49\u5b57\u548c\u7a7a\u683c\uff0c\u793a\u4f8b\u6570\u636e\u5982\u7b2c 11 \u9898\u56fe\u6240\u793a\u3002\u7814\u7a76\u5c0f\u7ec4\u91c7\u7528\u5206\u8bcd\u65b9\u6cd5\uff0c\u5bf9\u8bc4\u4ef7\u6570\u636e\u9010\u5b57\u904d\u5386\u5e76\u6309\u6307\u5b9a\u957f\u5ea6\u62c6\u5206\uff0c\u4ee5\u7edf\u8ba1\u9ad8\u9891\u8bcd\u3002\u4f8b\u5982\uff1a\u67d0\u8bc4\u8bed\u4e3a “\u7ea2\u70e7\u8089\u751c\u54b8\u9002\u4e2d”, \u82e5\u6309\u957f\u4e3a 2 \u8fdb\u884c\u5206\u8bcd\uff0c\u7ed3\u679c\u4e3a “\u7ea2\u70e7”” \u70e7\u8089 “”\u751c\u54b8”” \u54b8\u9002 “”\u9002\u4e2d”, \u6bcf\u4e2a\u53cc\u5b57\u8bcd\u9891\u6b21\u4e3a 1\u3002
\n\u793a\u4f8b\u8bb0\u4e8b\u672c\u6587\u4ef6 (F) \u7f16\u8f91 (E) \u683c\u5f0f (O) \u67e5\u770b (V) \u5e2e\u52a9 (H)\u6e05\u84b8\u9c7c\u5f88\u9c9c\u7f8e \u76d0\u6c34\u867e\u5f88\u65b0\u9c9c \u6211\u559c\u6b22\u51ac\u74dc\u6392\u9aa8\u6c64\u65b0\u9c9c\u7f8e\u5473 \u9171\u7206\u8304\u5b50\u8d5e\u7b2c 11 \u9898\u56fe
\n\u8bf7\u56de\u7b54\u4e0b\u5217\u95ee\u9898:(1) \u5982\u7b2c 11 \u9898\u56fe\u6240\u793a\u7684\u8bc4\u4ef7\u6570\u636e\u4e2d\uff0c\u9891\u6b21\u6700\u9ad8\u7684\u53cc\u5b57\u8bcd\u6709:, \u9891\u6b21\u4e3a
\n(2) \u4e3a\u5b9e\u73b0\u5206\u8bcd\u5e76\u7edf\u8ba1\u6bcf\u4e2a\u8bcd\u7684\u9891\u6b21\uff0c\u5b9a\u4e49\u51fd\u6570 wcount (fname,wlen), \u8bf7\u5728\u5212\u7ebf\u5904\u586b\u5165\u5408\u9002\u7684\u4ee3\u7801\u3002
\npython
\n\u8fd0\u884c
\ndef wcount( fname, wlen):
\n#fname\u4e3a\u8bc4\u4ef7\u6570\u636e\u6587\u4ef6\u540d,wlen\u4e3a\u5206\u8bcd\u957f\u5ea6
\nfile = open (fname, “r”, encoding=”utf-8″) #\u6253\u5f00\u6587\u4ef6
\ndic={}
\nline = file.readline().strip() #\u8bfb\u53d6\u6587\u4ef6\u4e2d\u7684\u4e00\u884c\u5e76\u53bb\u9664\u6362\u884c\u7b26
\nspace = ______ #space\u4e3a1\u4e2a\u7a7a\u683c
\nwhile line:
\nfor i in range(len(line) – wlen + 1):
\nword=______
\nif not space in word:
\nif word in dic:
\ndic[word]= dic[word]+1
\nelse:
\ndic[word] =1
\nline=file.readline().strip()
\nreturn dic
\n(3) \u5217\u8868 words \u4e2d\u5b58\u50a8\u4e86\u5206\u8bcd\u540e\u7684\u8bcd\u53ca\u76f8\u5e94\u7684\u9891\u6b21\uff0c\u5b9a\u4e49\u51fd\u6570 findmax (words,n), \u627e\u51fa\u9891\u6b21\u4e3a\u524d n \u540d\u7684\u6240\u6709\u8bcd\u3002\u4f8b\u5982:words \u4e2d\u6392\u540d\u524d 2 \u7684\u9891\u6b21\u5206\u522b\u4e3a 80 \u548c 50, \u5bf9\u5e94\u7684\u8bcd\u5206\u522b\u6709 13 \u4e2a\u548c 6 \u4e2a\uff0c\u5219\u5171\u6709 19 \u4e2a\u9891\u6b21\u4e3a\u524d 2 \u7684\u8bcd\u3002\u8bf7\u5728\u5212\u7ebf\u5904\u586b\u5165\u5408\u9002\u7684\u4ee3\u7801\u3002
\npython
\n\u8fd0\u884c
\ndef findmax (words, n):
\nmword=[]
\nml=100000#\u8bbe\u7f6e\u521d\u59cb\u503c
\nfor i in range(n):
\nm2=0
\nfor j in range (len(words)):
\nif m2<words[j][1]<ml:
\n______
\nfor j in range (len(words)):
\nif words[j][1]== m2:
\nmword.append (words[i][0]) #\u5728\u5217\u8868mword\u4e2d\u6dfb\u52a0\u4e00\u4e2a\u5143\u7d20
\nml=m2
\nreturn mword
\n(4) \u4e3b\u7a0b\u5e8f\u5982\u4e0b\uff0c\u8bf7\u5728\u5212\u7ebf\u5904\u586b\u5165\u5408\u9002\u7684\u4ee3\u7801\u3002
\npython
\n\u8fd0\u884c
\n#\u5c06\u7528\u6237\u8bc4\u4ef7\u6570\u636e\u9884\u5904\u7406\u540e,\u4fdd\u5b58\u5728\u6587\u4ef6data.txt\u4e2d,\u4ee3\u7801\u7565
\nfname = “data. txt”
\nwlen=2
\nwdic=______
\n#\u5c06\u5b57\u5178wdic\u8f6c\u6362\u4e3a\u5217\u8868words,\u5982:words=[[“\u7f8e\u5473”,80],[“\u9999\u751c”,50]..].\u5176\u4e2d,words[0][0]\u5b58\u50a8\u8bcd”\u7f8e\u5473”,words[0][1]\u5b58\u50a8\u9891\u6b2180,\u4ee3\u7801\u7565
\nn=10 #\u9891\u6b21\u524dn
\nresult = findmax(words, n)
\nprint (result)
\n2025 \u5e74 7 \u6708\u6d59\u6c5f\u7701\u666e\u901a\u9ad8\u4e2d\u5b66\u4e1a\u6c34\u5e73\u8003\u8bd5 \u6280\u672f\u8bd5\u9898\u53c2\u8003\u7b54\u6848 (\u5b98\u65b9)
\n\u7b2c\u4e00\u90e8\u5206 \u4fe1\u606f\u6280\u672f (\u5171 50 \u5206)
\n\u4e00\u3001\u9009\u62e9\u9898 (\u672c\u5927\u9898\u5171 9 \u5c0f\u9898\uff0c\u6bcf\u5c0f\u9898 3 \u5206\uff0c\u5171 27 \u5206\u3002\u6bcf\u5c0f\u9898\u5217\u51fa\u7684\u56db\u4e2a\u9009\u9879\u4e2d\u53ea\u6709\u4e00\u4e2a\u662f\u7b26\u5408\u9898\u76ee\u8981\u6c42\u7684\uff0c\u4e0d\u9009\u3001\u9519\u9009\u3001\u591a\u9009\u5747\u4e0d\u5f97\u5206\u3002)
\n\u8868\u683c
\n\u9898\u53f7 1 2 3 4 5 6 7 8 9
\n\u7b54\u6848 D B A A C D C B B
\n\u4e8c\u3001\u975e\u9009\u62e9\u9898 (\u672c\u5927\u9898\u5171 2 \u5c0f\u9898\uff0c\u5176\u4e2d\u7b2c 10 \u5c0f\u9898 10 \u5206\uff0c\u7b2c 11 \u5c0f\u9898 13 \u5206\uff0c\u5171 23 \u5206)
\n(1) view(2) \u5957\u9910\u7ba1\u7406\uff0c\u5b9e\u73b0\u5957\u9910\u5220\u9664\u3001\u589e\u52a0\u3001\u4fee\u6539\u529f\u80fd (\u6216\u5176\u4ed6\u5408\u7406\u7b54\u6848)(3) BC(4) \u5957\u9910 C
\n(1) \u9c9c\u7f8e\u3001\u65b0\u9c9c\uff1b2(2) line [i:i+wlen](3) m2=words [j][1](4) wcount (fname, wlen)<\/p>\n","protected":false},"excerpt":{"rendered":"
\u7b2c\u4e00\u90e8\u5206 \u4fe1\u606f\u6280\u672f (\u5171 50 \u5206) \u4e00\u3001\u9009\u62e9\u9898 (\u672c\u5927\u9898\u5171 9 \u5c0f\u9898\uff0c\u6bcf\u5c0f\u9898 3 \u5206\uff0c\u5171 27 \u5206\u3002\u6bcf\u5c0f\u9898\u5217 […]<\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[136],"tags":[],"class_list":["post-16948","post","type-post","status-publish","format-standard","hentry","category-pgsx"],"_links":{"self":[{"href":"https:\/\/www.aiersheng.cc\/index.php?rest_route=\/wp\/v2\/posts\/16948","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.aiersheng.cc\/index.php?rest_route=\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.aiersheng.cc\/index.php?rest_route=\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.aiersheng.cc\/index.php?rest_route=\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/www.aiersheng.cc\/index.php?rest_route=%2Fwp%2Fv2%2Fcomments&post=16948"}],"version-history":[{"count":2,"href":"https:\/\/www.aiersheng.cc\/index.php?rest_route=\/wp\/v2\/posts\/16948\/revisions"}],"predecessor-version":[{"id":16950,"href":"https:\/\/www.aiersheng.cc\/index.php?rest_route=\/wp\/v2\/posts\/16948\/revisions\/16950"}],"wp:attachment":[{"href":"https:\/\/www.aiersheng.cc\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=16948"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.aiersheng.cc\/index.php?rest_route=%2Fwp%2Fv2%2Fcategories&post=16948"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.aiersheng.cc\/index.php?rest_route=%2Fwp%2Fv2%2Ftags&post=16948"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}