Closed heweifred closed 3 years ago
I had similar issue. Dug a bit into the underlying c++ code. I see that the maximum possible enumeration size is set at 256. In your case this raises an error in the underlying c++ function. Since the error is not passed on to the python bindings you get a general runtime error.
When implementing
CVP.closest_vector(A, t)
I encounter following errorRuntimeError: Aborted
My A has dimension (259, 285). Is the program aborted because the dimension is too large? Is there a way to still let the program run? (My A is very sparse; for a similar case I had A of dimension (145, 171) and CVP.closest_vector finds solution within a second)