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Fastest hash for non-cryptographic uses?
I'm essentially preparing phrases to be put into the database, they may be malformed so I want to store a short hash of them instead (I will be simply comparing if they exist or not, so hash is ideal).
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Any good boolean expression simplifiers out there? [closed]
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For a quick online tool this is really helpful: tma.main.jp/logic/index_en.html
– Lenar Hoyt
Apr 6 '17 at 0:33
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LISTAGG in Oracle to return distinct values
...ve will work in most cases - list should be sorted , you may have to trim all trailing and leading space depending on your data.
If you have a alot of items in a group > 20 or big string sizes you might run into oracle string size limit 'result of string concatenation is too long'.
From oracl...
(Deep) copying an array using jQuery [duplicate]
...y an (ordered, not associative) array of objects. I'm using jQuery. I initially tried
8 Answers
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Limitations of SQL Server Express
...fering a fully managed dedicated server with SQL Server Web version () installed. My company handles web development, and has about 20+ clients using ASP.Net + SQL Server 2005.
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Change x axes scale in matplotlib
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Try using matplotlib.pyplot.ticklabel_format:
import matplotlib.pyplot as plt
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plt.ticklabel_format(style='sci', axis='x', scilimits=(0,0))
This applies scientific notation (i.e. a x 10^b) to your x-axis tickmarks
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Are the days of passing const std::string & as a parameter over?
...he said is because of cases like this.
Let's say I have function A which calls function B, which calls function C. And A passes a string through B and into C. A does not know or care about C; all A knows about is B. That is, C is an implementation detail of B.
Let's say that A is defined as follow...
Automate ssh-keygen -t rsa so it does not ask for a passphrase
...ing prompted for a passphrase you can do the following:
$ ssh-keygen -f id_rsa -t rsa -N ''
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Fastest way to check if string contains only digits
...nyone cares, this can certainly be reduced to a one-liner -> return str.All(c => c >= '0' && c <= '9');
– Jonesopolis
Feb 6 '14 at 14:07
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Compare two data.frames to find the rows in data.frame 1 that are not present in data.frame 2
...<- data.frame(a = 1:3, b = letters[1:3])
comparison <- compare(a1,a2,allowAll=TRUE)
comparison$tM
# a b
#1 1 a
#2 2 b
#3 3 c
The function compare gives you a lot of flexibility in terms of what kind of comparisons are allowed (e.g. changing order of elements of each vector, changing order a...