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How do I count the number of occurrences of a char in a String?
...ring, I get a difference of 6049 ns vs 26,739 ns (averaged over 100runs). Raw numbers are huge difference, but percetage wise...it adds up. Avoid the memory allocations - use a loop!
– Ben
Nov 18 '14 at 15:41
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Converting a Uniform Distribution to a Normal Distribution
...ing the log). Even if clamped to [-6, 6] the chances of being outside this range are about 1.98e-9, good enough for most people even in science. For the 8.57 and 9.41 figures this becomes 1.04e-17 and 4.97e-21. These numbers are so small that the difference between a Box Muller sampling and a true g...
Get a list of URLs from a site [closed]
...in
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WordPress
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GSiteCrawler (Windows)
GWebCrawler & Sitemap Creator (Windows)
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Rage Google Sitemap Automato...
Set up adb on Mac OS X
...e automatic updates.
Install homebrew
/bin/bash -c "$(curl -fsSL https://raw.githubusercontent.com/Homebrew/install/master/install.sh)"
Install adb
brew cask install android-platform-tools
Start using adb
adb devices
Option 2 - Manually (just the platform tools)
This is the easiest way t...
Validating IPv4 addresses with regexp
... (25[0-5]|2[0-4][0-9]|[01]?[0-9][0-9]?(\.|$)){4} , but it produces some strange results:
36 Answers
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How do I know if a generator is empty from the start?
... the generator is designed to yield None. def gen(): for pony in range(4): yield None if pony == 2 else pony
– Paul
Nov 3 '16 at 21:53
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C fopen vs open
...nter directly.
There are several advantages to using FILE-objects rather raw file descriptors, which includes greater ease of usage but also other technical advantages such as built-in buffering. Especially the buffering generally results in a sizeable performance advantage.
...
How would I skip optional arguments in a function call?
...lt value.
The clarity of this solution is of course better than supplying raw default values (like NULL, 0 etc.) which say nothing to a reader.
(I agree that calling like $var = a(,,'ddd'); would be the best option)
Image comparison - fast algorithm
...rithm
Computing the color histograms is straightforward -- just pick the range for your histogram buckets, and for each range, tally the number of pixels with a color in that range. For example, consider the "green" histogram, and suppose we choose 4 buckets for our histogram: 0-63, 64-127, 128-1...
Find object in list that has attribute equal to some value (that meets any condition)
...mport random
value = 5
test_list = [Test(random.randint(0,100)) for x in range(1000)]
if value in test_list:
print "i found it"
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