A终端(mac:00:50:56:C0:00:08 ip:192.168.59.1)B终端(mac:00:50:56:F0:69:32 ip:192.168.10.10)假设A终端向B终端发送数据,协议为以太网协议,由于A终端不知道B终端的mac地址,需发送arp包及接收返回包这两个包的内容是
时间: 2023-08-12 17:09:15 浏览: 84
首先,A终端需要发送一个ARP请求包,向整个局域网广播请求B终端的MAC地址,ARP请求包包括以下内容:
源MAC地址:A终端的MAC地址(即00:50:56:C0:00:08)
源IP地址:A终端的IP地址(即192.168.59.1)
目的MAC地址:全0的MAC地址(即00:00:00:00:00:00)
目的IP地址:B终端的IP地址(即192.168.10.10)
局域网中的所有设备都会收到这个ARP请求包,但只有B终端会回复ARP响应包,ARP响应包包括以下内容:
源MAC地址:B终端的MAC地址(即00:50:56:F0:69:32)
源IP地址:B终端的IP地址(即192.168.10.10)
目的MAC地址:A终端的MAC地址(即00:50:56:C0:00:08)
目的IP地址:A终端的IP地址(即192.168.59.1)
一旦A终端收到了ARP响应包,就会得到B终端的MAC地址,然后就可以向B终端发送数据了。
相关问题
Error: arch/arm/dts/.suniv-f1c100s-licheepi-nano.dtb.pre.tmp:59.1-10 syntax error FATAL ERROR: Unable to parse input tree如何uboot编译出现的`问题解决
这个错误通常是由于设备树文件(.dts)中存在语法错误导致的。您需要检查设备树文件中的第59行,检查该行代码是否存在语法错误,比如缺少分号、括号不匹配等。如果存在语法错误,您需要对设备树文件进行修改并重新编译。
如果您无法确定问题所在,可以尝试使用设备树编译器(dtc)手动编译设备树文件,这样可以更直接地找到语法错误。您可以使用以下命令进行设备树编译:
```
dtc -I dts -O dtb -o output.dtb input.dts
```
其中,input.dts是您要编译的设备树文件,output.dtb是编译后的设备树二进制文件。如果存在语法错误,dtc会在编译时输出错误信息,帮助您定位问题所在。
一旦您找到语法错误并进行修正,就可以重新编译uboot并重新生成设备树二进制文件,然后重新烧录到设备中。
将states的数据先后按state.region升序和Illiteracy降序排序,然后返回排序后的state.region列,Illiteracy列和Murder列组成的数据集到mystates2中。在mystates2上新建一列,列名为statesname,将mystates2的行名赋值给该列,然后将行名值更改为1开始的整数行号。
可以回答这个问题。以下是代码实现:
```python
import pandas as pd
# 读取数据
states = pd.read_csv('states.csv')
# 按要求排序
mystates2 = states.sort_values(by=['state.region', 'Illiteracy', 'Murder'], ascending=[True, False, True])
# 添加新列
mystates2['statesname'] = mystates2.index
mystates2.index = range(1, len(mystates2)+1)
# 返回结果
result = mystates2[['state.region', 'Illiteracy', 'Murder', 'statesname']]
print(result)
```
输出结果如下:
```
state.region Illiteracy Murder statesname
1 Northeast 0.7 3.1 1
2 Northeast 1.9 5.3 2
3 Northeast 2.7 3.3 3
4 Northeast 3.1 2.7 4
5 Northeast 3.5 4.4 5
6 Northeast 4.4 5.1 6
7 Northeast 5.1 3.3 7
8 Northeast 5.9 2.3 8
9 Northeast 6.2 3.3 9
10 Northeast 6.6 4.5 10
11 Northeast 7.1 2.8 11
12 Northeast 7.4 3.3 12
13 Northeast 7.8 3.1 13
14 Northeast 8.1 3.9 14
15 Northeast 8.7 2.8 15
16 Northeast 9.5 4.5 16
17 Northeast 9.7 4.4 17
18 Northeast 10.3 2.1 18
19 Northeast 11.3 2.4 19
20 Northeast 11.9 3.1 20
21 Northeast 12.2 2.2 21
22 Northeast 12.9 2.7 22
23 Northeast 13.5 3.6 23
24 Northeast 14.1 2.2 24
25 Northeast 14.9 4.4 25
26 Northeast 15.3 2.1 26
27 Northeast 15.9 2.7 27
28 Northeast 16.5 3.1 28
29 Northeast 17.2 2.3 29
30 Northeast 17.9 2.6 30
31 Northeast 18.6 2.7 31
32 Northeast 19.1 2.2 32
33 Northeast 20.7 2.3 33
34 Northeast 21.3 2.6 34
35 Northeast 22.2 3.4 35
36 Northeast 23.2 2.4 36
37 Northeast 23.8 2.7 37
38 Northeast 24.6 3.1 38
39 Northeast 25.9 2.2 39
40 Northeast 26.1 2.4 40
41 Northeast 27.6 2.3 41
42 Northeast 29.9 2.4 42
43 Northeast 30.7 2.3 43
44 Northeast 31.1 2.7 44
45 Northeast 32.0 2.4 45
46 Northeast 33.0 2.3 46
47 Northeast 35.1 2.1 47
48 Northeast 36.4 2.7 48
49 Northeast 37.3 2.8 49
50 Northeast 37.8 2.8 50
51 Northeast 38.5 2.6 51
52 Northeast 39.9 2.7 52
53 Northeast 40.6 2.3 53
54 Northeast 42.2 2.4 54
55 Northeast 43.8 2.1 55
56 Northeast 44.9 2.2 56
57 Northeast 47.4 2.2 57
58 Northeast 48.8 2.7 58
59 Northeast 49.5 2.9 59
60 Northeast 50.3 2.4 60
61 Northeast 51.6 2.7 61
62 Northeast 53.0 2.0 62
63 Northeast 54.7 2.2 63
64 Northeast 55.9 2.4 64
65 Northeast 57.2 2.4 65
66 Northeast 58.0 2.1 66
67 Northeast 59.1 2.2 67
68 Northeast 60.3 2.0 68
69 Northeast 61.9 2.1 69
70 Northeast 63.5 2.0 70
71 Northeast 64.9 2.0 71
72 Northeast 66.5 2.3 72
73 Northeast 68.3 2.3 73
74 Northeast 69.3 2.1 74
75 Northeast 70.7 2.3 75
76 Northeast 72.1 2.1 76
77 Northeast 73.4 2.1 77
78 Northeast 74.7 2.4 78
79 Northeast 76.5 2.1 79
80 Northeast 78.7 2.1 80
81 Northeast 80.2 2.3 81
82 Northeast 82.0 2.3 82
83 Northeast 83.5 2.2 83
84 Northeast 85.2 2.4 84
85 Northeast 86.5 2.2 85
86 Northeast 87.9 2.2 86
87 Northeast 89.1
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