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How do I add more members to my ENUM-type column in MySQL?
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Most ALTER TABLE commands will completely rewrite the whole table. Is mysql clever enough to not do that with enum ?
– John
Oct 9 '18 at 22:10
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PHP YAML Parsers [closed]
Does anyone know of a good YAML Parser for PHP? If so, what are the pros and cons of this library?
8 Answers
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Calculate the median of a billion numbers
If you have one billion numbers and one hundred computers, what is the best way to locate the median of these numbers?
25 A...
In what order do static/instance initializer blocks in Java run?
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See section 12.4 and 12.5 of the JLS version 8, they go into gory detail about all of this (12.4 for static and 12.5 for instance variables).
For static initialization (section 12.4):
A class or interface type T will be initialized immediat...
Callback functions in C++
In C++, when and how do you use a callback function?
10 Answers
10
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Rounding up to next power of 2
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This thread is still well referenced but this answer (and most others) are highly outdated. CPUs have an instruction to help this (actually already at that time?). From : jameshfisher.com/2018/03/30/round-up-power-2.html uint64_t next_pow2(uint64_t x) { return x == 1 ? 1 : 1<...
How do RVM and rbenv actually work?
I am interested in how RVM and rbenv actually work.
5 Answers
5
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How to make blinking/flashing text with CSS 3
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You are first setting opacity: 1; and then you are ending it on 0, so it starts from 0% and ends on 100%, so instead just set opacity to 0 at 50% and the rest will take care of itself.
Demo
.blink_me {
animation: blinker 1s linear infinite;
}
@ke...
How do you know when to use fold-left and when to use fold-right?
I'm aware that fold-left produces left-leaning trees and fold-right produces right-leaning trees, but when I reach for a fold, I sometimes find myself getting bogged down in headache-inducing thought trying to determine which kind of fold is appropriate. I usually end up unwinding the entire proble...
Ignore outliers in ggplot2 boxplot
...gplot(df, aes(y = y)) + geom_boxplot(aes(x = factor(1)))
# compute lower and upper whiskers
ylim1 = boxplot.stats(df$y)$stats[c(1, 5)]
# scale y limits based on ylim1
p1 = p0 + coord_cartesian(ylim = ylim1*1.05)
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