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`testl` eax against eax?
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It tests whether eax is 0, or above, or below. In this case, the jump is taken if eax is 0.
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What is more efficient? Using pow to square or just multiply it with itself?
... expression) \
double test##num(double b, long loops) \
{ \
double x = 0.0; \
\
boost::posix_time::ptime startTime = now(); \
for (long i=0; i<loops; ++i) \
{ \
x += expression; \
x += expression; \
x += expression; \
x += expression; \
x +=...
Why does parseInt yield NaN with Array#map?
...ex of the element.
In this case, you ended up calling parseInt with radix 0, 1 and 2 in turn. The first is the same as not supplying the parameter, so it defaulted based on the input (base 10, in this case). Base 1 is an impossible number base, and 3 is not a valid number in base 2:
parseInt('1'...
What does “Auto packing the repository for optimum performance” mean?
...s git gc --auto. If there are enough loose objects (by default, at least 6700), it will then invoke git repack -d -l to pack them. If there are too many separate packs, it will also repack them into one.
A pack is a delta-compressed single file, containing a large number of objects. It's more effic...
Multidimensional Array [][] vs [,] [duplicate]
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501
One is an array of arrays, and one is a 2d array. The former can be jagged, the latter is unif...
CSS horizontal centering of a fixed div?
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left: 50%;
margin-left: -400px; /* Half of the width */
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Install a Windows service using a Windows command prompt?
...in your .net folder (for .net 4 it's C:\Windows\Microsoft.NET\Framework\v4.0.30319 for example) and use it to install your service, like this:
"C:\Windows\Microsoft.NET\Framework\v4.0.30319\installutil.exe" "c:\myservice.exe"
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What is SYSNAME data type in SQL Server?
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150
sysname is a built in datatype limited to 128 Unicode characters that, IIRC, is used primarily t...
What is an .axd file?
...source.axd
– Kiquenet
Nov 4 '15 at 10:22
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How to add an empty column to a dataframe?
...t; df = pd.DataFrame({"A": [1,2,3], "B": [2,3,4]})
>>> df
A B
0 1 2
1 2 3
2 3 4
>>> df["C"] = ""
>>> df["D"] = np.nan
>>> df
A B C D
0 1 2 NaN
1 2 3 NaN
2 3 4 NaN
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