大约有 47,000 项符合查询结果(耗时:0.1013秒) [XML]

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select and update database record with a single queryset

... | edited Aug 14 at 5:07 Adolfo 50811 gold badge66 silver badges1515 bronze badges answered Apr 26 '...
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Can you 'exit' a loop in PHP?

... answered Feb 26 '09 at 2:47 TheTXITheTXI 35.4k1010 gold badges8282 silver badges109109 bronze badges ...
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Using querySelector with IDs that are numbers

... 109 It is valid, but requires some special handling. From here: http://mathiasbynens.be/notes/css-...
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Convert numpy array to tuple

... Niklas B.Niklas B. 80.9k1111 gold badges173173 silver badges210210 bronze badges ...
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Combine :after with :hover

...elected:after, #alertlist li:hover:after { position:absolute; top: 0; right:-10px; bottom:0; border-top: 10px solid transparent; border-bottom: 10px solid transparent; border-left: 10px solid #303030; content: ""; } ...
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What is Hindley-Milner?

...tion in ML, you can see the type parameter thus: fun 'a length [] = 0 | 'a length (x::xs) = 1 + length xs If a term has a Hindley-Milner type, then the principal type can be inferred without requiring any type declarations or other annotations by the programmer. (This is a mixed blessing...
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socket.emit() vs. socket.send()

...er custom event like that: server: var io = require('socket.io').listen(80); io.sockets.on('connection', function (socket) { socket.emit('news', { hello: 'world' }); socket.on('my other event', function (data) { console.log(data); }); }); client: var socket = io.connect('http://local...
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SQL Server: Maximum character length of object names

...m character length of object name (e.g. constraint, column) in SQL Server 2008? 3 Answers ...
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Numpy array assignment with copy

... answered Oct 30 '13 at 7:59 BlckknghtBlckknght 80.1k99 gold badges9393 silver badges141141 bronze badges ...
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How to plot multiple functions on the same figure, in Matplotlib?

...m numpy import * import math import matplotlib.pyplot as plt t = linspace(0, 2*math.pi, 400) a = sin(t) b = cos(t) c = a + b plt.plot(t, a, 'r') # plotting t, a separately plt.plot(t, b, 'b') # plotting t, b separately plt.plot(t, c, 'g') # plotting t, c separately plt.show() ...