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Sass calculate percent minus px
... from one unit to the next. Sass has no way of knowing exactly how wide "100%" is in terms of pixels or any other unit. That's something only the browser knows.
You need to use calc() instead. Check browser compatibility on Can I use...
.foo {
height: calc(25% - 5px);
}
If your values are...
Bash empty array expansion with `set -u`
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20
The only safe idiom is ${arr[@]+"${arr[@]}"}
This is already the recommendation in ikegami's an...
How can I get the Typescript compiler to output the compiled js to a different directory?
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answered Jun 27 '14 at 14:40
Bruno GriederBruno Grieder
20.3k77 gold badges5252 silver badges8282 bronze badges
...
Printing tuple with string formatting in Python
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205
>>> thetuple = (1, 2, 3)
>>> print "this is a tuple: %s" % (thetuple,)
this i...
Convert int to char in java
...ascii value 49 (one corresponding to '1')
If you want to convert a digit (0-9), you can add 48 to it and cast, or something like Character.forDigit(a, 10);.
If you want to convert an int as in ascii value, you can use Character.toChars(48) for example.
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Java: int array initializes with nonzero elements
... bug will be fixed.
There is only advice at the moment: do not use JDK1.7.0_04 or later if you depend on JLS for newly declared arrays.
Update at October 5:
In the new Build 10 of the JDK 7u10 (early access) released at October 04, 2012, this bug was fixed at least for Linux OS (I did not test fo...
arrayfun can be significantly slower than an explicit loop in matlab. Why?
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101
You can get the idea by running other versions of your code. Consider explicitly writing out th...
Can't use modulus on doubles?
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280
The % operator is for integers. You're looking for the fmod() function.
#include <cmath>...
Force HTML5 youtube video
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180
I've found the solution :
You have to add the html5=1 in the src attribute of the iframe :
&...
How to calculate moving average using NumPy?
...ret[n:] - ret[:-n]
return ret[n - 1:] / n
>>> a = np.arange(20)
>>> moving_average(a)
array([ 1., 2., 3., 4., 5., 6., 7., 8., 9., 10., 11.,
12., 13., 14., 15., 16., 17., 18.])
>>> moving_average(a, n=4)
array([ 1.5, 2.5, 3.5, 4....