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Java HashMap performance optimization / alternative
...={99,100}) will hash to the same value as (a[]={3,1,2}, b[]={100,99}). Actually all keys k1 and k2 where sum(k1.a)==sum(k2.a) and sum(k1.b)=sum(k2.b) will result in collisions. I suggest assigning a weight to each position of the array:
hash = hash * 5381 + (c0*a[0] + c1*a[1]);
hash = hash * 5381 +...
Generate array of all letters and digits
...ontent-policy\"\u003e(content policy)\u003c/a\u003e",
allowUrls: true
},
onDemand: true,
discardSelector: ".discard-answer"
,immediatelyShowMarkdownHelp:true,enableSnippets:true
});
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Why does the order of the loops affect performance when iterating over a 2D array?
... x[1][0] etc...
Meaning that you're hitting them all in order. Now look at the 1st version. You're doing:
x[0][0]
x[1][0]
x[2][0]
x[0][1]
...
How to Get Element By Class in JavaScript?
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This code should work in all browsers.
function replaceContentInContainer(matchClass, content) {
var elems = document.getElementsByTagName('*'), i;
for (i in elems) {
if((' ' + elems[i].className + ' ').indexOf(' ' + matchClass + ' '...
Breaking out of a nested loop
...using goto is any worse than the normal use of something like break (after all they're both just unconditional branches to a label, it's just that with break the label is implicit).
– Greg Beech
Nov 28 '08 at 0:07
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How to print a dictionary's key?
...no "the key". You have the keys() method, which gives you a python list of all the keys, and you have the iteritems() method, which returns key-value pairs, so
for key, value in mydic.iteritems() :
print key, value
Python 3 version:
for key, value in mydic.items() :
print (key, value)
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Deleting queues in RabbitMQ
...rgin state.
Removes the node from any cluster it belongs to, removes all data from
the management database, such as configured users and vhosts, and
deletes all persistent messages.
So, be careful using it.
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Group by & count function in sqlalchemy
...ssion.query(Table.column, func.count(Table.column)).group_by(Table.column).all()
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Detect and exclude outliers in Pandas data frame
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If you have multiple columns in your dataframe and would like to remove all rows that have outliers in at least one column, the following expression would do that in one shot.
df = pd.DataFrame(np.random.randn(100, 3))
from scipy import stats
df[(np.abs(stats.zscore(df)) < 3).all(axis=1)]
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Fade Effect on Link Hover?
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@FelipeMicaroniLalli best to post a question I guess, definitely sounds like a syntax problem.
– Marcel
Feb 10 '15 at 7:25
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