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How to handle multiple cookies with the same name?

...an’t be sure which one will be sent back. Edit: this information from 2010 appears to be outdated, it seems browsers can now send multiple cookies in return, see answer by @Nate below for details share | ...
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How to create a directory in Java?

... answered Sep 3 '10 at 10:34 Jigar JoshiJigar Joshi 219k4141 gold badges370370 silver badges417417 bronze badges ...
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Convert a float64 to an int in Go

...o power for dup > 0 { **sum += int(math.Pow(float64(dup % 10), float64(l)))** dup /= 10 } return n == sum } share | improve this answer | ...
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Round to at most 2 decimal places (only if necessary)

... Use Math.round(num * 100) / 100 Edit: to ensure things like 1.005 round correctly, we use Math.round((num + Number.EPSILON) * 100) / 100 share | ...
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efficient circular buffer?

... >>> import collections >>> d = collections.deque(maxlen=10) >>> d deque([], maxlen=10) >>> for i in xrange(20): ... d.append(i) ... >>> d deque([10, 11, 12, 13, 14, 15, 16, 17, 18, 19], maxlen=10) There is a recipe in the docs for deque that is si...
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Linux: is there a read or recv from socket with timeout?

...har*)&tv, sizeof tv); // WINDOWS DWORD timeout = timeout_in_seconds * 1000; setsockopt(socket, SOL_SOCKET, SO_RCVTIMEO, (const char*)&timeout, sizeof timeout); // MAC OS X (identical to Linux) struct timeval tv; tv.tv_sec = timeout_in_seconds; tv.tv_usec = 0; setsockopt(sockfd, SOL_SOCKET,...
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Is null reference possible?

... | edited Dec 6 '10 at 9:05 answered Dec 6 '10 at 8:46 ...
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Under what conditions is a JSESSIONID created?

... Laurel 5,3621010 gold badges2323 silver badges4545 bronze badges answered Feb 28 '09 at 23:56 Peter ŠtibranýPet...
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What happens if i return before the end of using statement? Will the dispose be called?

... | edited Jul 14 '10 at 15:33 answered Jul 14 '10 at 15:17 ...
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How to write a multidimensional array to a text file?

...darray) for a 3D array: import numpy as np x = np.arange(200).reshape((4,5,10)) np.savetxt('test.txt', x) One workaround is just to break the 3D (or greater) array into 2D slices. E.g. x = np.arange(200).reshape((4,5,10)) with open('test.txt', 'w') as outfile: for slice_2d in x: np.save...