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windows版 svn 服务器搭建及总结 - 更多技术 - 清泛网 - 专注C/C++及内核技术
...问题了，去/etc/sysconfig/iptables 设置一下，打开默认的3690端口就可以了
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在myeclipse 8.5中使用subeclipse插件的若干问题：
貌似 插件的同...
App Inventor 2 UrsPahoMqttClient 拓展 - 物联网轻量级MQTT协议 · App Inventor 2 中文网
...ker - MQTT消息服务器
服务器的主机名或 IP 地址。
Port - 端口
连接的端口号。默认值为 1883。
Protocol - 协议
协议类型：允许的值为TCP、SSL和TLS，其他值将被忽略。
身份标识
ClientID - 客户端ID
可选：唯一客户端标识。...
iPhone: How to get current milliseconds?
...if portability is a priority for you.
iPhone 4S
CACurrentMediaTime: 1.33 µs/call
gettimeofday: 1.38 µs/call
[NSDate timeIntervalSinceReferenceDate]: 1.45 µs/call
CFAbsoluteTimeGetCurrent: 1.48 µs/call
[[NSDate date] timeIntervalSince1970]: 4.93 µs/call
iPad 3
CACurrentMediaTime: 1.25 µs/c...
How to compare Unicode characters that “look alike”?
...ain(string[] args)
{
char first = 'μ';
char second = 'µ';
// Technically you only need to normalize U+00B5 to obtain U+03BC, but
// if you're unsure which character is which, you can safely normalize both
string firstNormalized = first.ToString().Normal...
Characters allowed in a URL
...d and pasted, but I'll do my best.
In first matched order:
host = IP-literal / IPv4address / reg-name
IP-literal = "[" ( IPv6address / IPvFuture ) "]"
IPvFuture = "v" 1*HEXDIG "." 1*( unreserved / sub-delims / ":" )
IPv6address = 6( h16 ":" ) ls32
/ ...
Insert an element at a specific index in a list and return the updated list
...ents for Python 3.4.5:
Mine answer using sliced insertion - Fastest (3.08 µsec per loop)
mquadri$ python3 -m timeit -s "a = list(range(1000))" "b = a[:]; b[500:500] = [3]"
100000 loops, best of 3: 3.08 µsec per loop
ATOzTOA's accepted answer based on merge of sliced lists - Second (6.71 µsec...
“Cloning” row or column vectors
...t;>> %timeit np.array(np.broadcast_to(x, (reps, n)))
10.2 ms ± 62.3 µs per loop (mean ± std. dev. of 7 runs, 100 loops each)
>>> %timeit np.repeat(x[np.newaxis, :], reps, axis=0)
9.88 ms ± 52.4 µs per loop (mean ± std. dev. of 7 runs, 100 loops each)
>>> %timeit np.ti...
Python dictionary: Get list of values for list of keys
...imeit map(lambda _: m[_], l) # using 'map'
1000000 loops, best of 3: 1.66 µs per loop
In[5]: %timeit list(m[_] for _ in l) # a generator expression passed to a list constructor.
1000000 loops, best of 3: 1.65 µs per loop
In[6]: %timeit map(m.__getitem__, l)
The slowest run took 4.01 times longer...
下载器使用指导 · App Inventor 2 中文网
...
下载失败
输入服务的missing路径或错误端口
显示实际失败原因；修正后可再下
平台目录差异
选择公共下载目录测试
安卓公共下载目录可能涉及授权；鸿蒙两种设置均落应用files/Download...
Return multiple columns from pandas apply()
...best of 3: 2.61 ms per loop
Return tuple:
1000 loops, best of 3: 819 µs per loop
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