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as seen on Stack Overflow
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I have two sparse matrices, m1 and m2:
> m1 <- Matrix(data=0,nrow=2, ncol=1, sparse=TRUE, dimnames=list(c("b","d"),NULL))
> m2 <- Matrix(data=0,nrow=2, ncol=1, sparse=TRUE, dimnames=list(c("a","b"),NULL))
> m1["b",1]<- 4
> m2["a",1]<- 5
> m1
2 x 1 sparse Matrix of class…
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The following code runs too slowly even though everything seems to be vectorized.
from numpy import *
from scipy.sparse import *
n = 100000;
i = xrange(n); j = xrange(n);
data = ones(n);
A=csr_matrix((data,(i,j)));
x = A[i,j]
The problem seems to be that the indexing operation is implemented…
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With the new sparse checkout feature in Git 1.7.0, is it possible to just get the contents of a subdirectory like how you can in SVN? I found this example, but it preserves the full directory structure. Imagine that I just wanted the contents of the 'perl' directory, without an actual directory named…
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I can create a sparse php array (or map) using the command:
$myarray = array(10=>'hi','test20'=>'howdy');
I want to serialize/deserialize this as JSON. I can serialize it using the command:
$json = json_encode($myarray);
which results in the string {"10":"hi","test20":"howdy"}. However…
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as seen on Dot net Slackers
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In this article, Dino Esposito focuses on the core part of the ASP.NET MVC framework - the controller - and shares some considerations about the ideal structure it should have as a class and its intended role.
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