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Virtual/pure virtual explained
...Shape();
std::string getName() // not overridable
{
return m_name;
}
void setName( const std::string& name ) // not overridable
{
m_name = name;
}
protected:
virtual void initShape() // overridable
{
setName("Generic Shape");
}
privat...
Add a background image to shape in XML Android
...t;/shape>
</item>
<item android:drawable="@drawable/image_name_here" />
</layer-list>
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How can I upload files asynchronously?
...
Can I then use $_FILES in the upload.php?
– Alessandro Cosentino
Nov 2 '12 at 13:41
73
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Generate random numbers uniformly over an entire range
...t generate numbers uniformly (it depends on the range and the value of RAND_MAX), and is therefore discouraged.
C++11 and generation over a range
With C++11 multiple other options have risen. One of which fits your requirements, for generating a random number in a range, pretty nicely: std::uniform_...
How can I tell jackson to ignore a property for which I don't have control over the source code?
...figure the mapper as follows:
mapper.configure(DeserializationFeature.FAIL_ON_UNKNOWN_PROPERTIES, false);
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fetch in git doesn't get all branches
... answered Oct 28 '19 at 9:48
Juh_Juh_
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What is a good choice of database for a small .NET application? [closed]
...
what about http://en.wikipedia.org/wiki/NoSQL_(RDBMS) ?
in particular MongoDB for .Net
http://www.mongodb.org/display/DOCS/Home
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How to emulate C array initialization “int arr[] = { e1, e2, e3, … }” behaviour with std::array?
...
Best I can think of is:
template<class T, class... Tail>
auto make_array(T head, Tail... tail) -> std::array<T, 1 + sizeof...(Tail)>
{
std::array<T, 1 + sizeof...(Tail)> a = { head, tail ... };
return a;
}
auto a = make_array(1, 2, 3);
However, this requires the ...
Is the order of iterating through std::map known (and guaranteed by the standard)?
...be clear the "efficient lookup" is relative. Technically the std::unordered_map has a more efficient lookup time of O(1). The advantage of std::map is in key ordering, but not lookup.
– Adam Johnston
May 25 at 1:54
...
Moving matplotlib legend outside of the axis makes it cutoff by the figure box
...ing for is adjusting the savefig call to:
fig.savefig('samplefigure', bbox_extra_artists=(lgd,), bbox_inches='tight')
#Note that the bbox_extra_artists must be an iterable
This is apparently similar to calling tight_layout, but instead you allow savefig to consider extra artists in the calculatio...