Comments (2)
Good catch! In fact, inferring the type fails when using numpy.int
, but once a samplable set of type int
has been initialized, you can use numpy.int
without trouble. I made sure that when both an iterable elements_weights
and cpp_type
are passed as argument, the later is used by default for the type. This way, your command
SamplableSet(1,1,neighbors,cpp_type='int')
now works, even if neighbors
uses numpy.int
. This is fixed by the last commit.
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that's great, thank you!
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Related Issues (12)
- C++11 compatibility HOT 8
- Warnings when compiling HOT 1
- Rounding errors when sampling at multiple scales
- Error when trying to compile HOT 6
- v2.0: error: 'seed' is a protected member of 'sset::BaseSamplableSet'
- No exception for weight out of bounds in c++ HOT 1
- Methods to set new values for minimal and maximal weights
- No empty() method HOT 1
- IndexError: vector HOT 5
- empty set raises problems HOT 2
- Possible to fail less harshly? HOT 1
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