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What is the best regular expression to check if a string is a valid URL?
...c_octet . ncg('\\.' . $dec_octet, '{3}');
$h16 = cc($HEXDIG, '{1,4}');
$ls32 = ncg($h16 . ':' . $h16 . '|' . $IPv4address);
$IPv6address = ncg(implode('|', array(
ncg($h16 . ':', '{6}') . $ls32,
'::' . ncg($h16 . ':', '{5}') . $ls32,
ncg($h16, '?') . '::' . ncg($h16 . ':', '{4}') . $ls...
Breadth First Vs Depth First
...oderator kittendmckee --- ex-moderator kitten
87.6k2323 gold badges127127 silver badges219219 bronze badges
...
How to use gradle zip in local system without downloading when using gradle-wrapper
...utionUrl property in gradle-wrapper.properties to
distributionBase=GRADLE_USER_HOME
distributionPath=wrapper/dists
zipStoreBase=GRADLE_USER_HOME
zipStorePath=wrapper/dists
distributionUrl=gradle-1.11-bin.zip
Then, I made a copy of gradle-1.11-bin.zip in gradle/wrapper/.
Then, ./gradlew build do...
Is there a generic constructor with parameter constraint in C#?
In C# you can put a constraint on a generic method like:
7 Answers
7
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Regex group capture in R with multiple capture-groups
...the match (and one for the whole match):
> s = c("(sometext :: 0.1231313213)", "(moretext :: 0.111222)")
> str_match(s, "\\((.*?) :: (0\\.[0-9]+)\\)")
[,1] [,2] [,3]
[1,] "(sometext :: 0.1231313213)" "sometext" "0.1231313213"
[2,] "(moretext :: 0.1...
iTunes Connect: How to choose a good SKU?
...think people will create a new App for version 2 -- and calling that Orange_Ball_02?
– dhrm
Jan 3 '12 at 15:53
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show 3 more comments
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Converting integer to string in Python
...
Andrea AmbuAndrea Ambu
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SqlAlchemy - Filtering by Relationship Attribute
...000/svg\"\u003e\u003cpath d=\"M46.1709 9.17788C46.1709 8.26454 46.2665 7.94324 47.1084 7.58816C47.4091 7.46349 47.7169 7.36433 48.0099 7.26993C48.9099 6.97997 49.672 6.73443 49.672 5.93063C49.672 5.22043 48.9832 4.61182 48.1414 4.61182C47.4335 4.61182 46.7256 4.91628 46.0943 5.50789C45.7307 4.9328 4...
C＋＋模板的特化 - C/C++ - 清泛网 - 专注C/C++及内核技术
...不受任何约束的模板参数，或受到特定的修饰（例如const或者摇身一变成为了指针之类的东东，甚至是经过别的模板类包装之后的模板类型）或完全被指定了下来。
这是网上某个人的一些看法：
模板有两种特化，全特化和偏...
How to do exponential and logarithmic curve fitting in Python? I found only polynomial fitting
...ptimize.curve_fit(lambda t,a,b: a*numpy.exp(b*t), x, y)
(array([ 5.60728326e-21, 9.99993501e-01]),
array([[ 4.14809412e-27, -1.45078961e-08],
[ -1.45078961e-08, 5.07411462e+10]]))
# oops, definitely wrong.
>>> scipy.optimize.curve_fit(lambda t,a,b: a*numpy.exp(b*t), x, y...