Openjij

Latest version: v0.9.2

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0.4.0

New features & Updates
* supports new qubo algorithm 185
* supports multiple architectures 188
* use `pyproject.toml` 190
* ADD enable_language(CUDA) 191
* specifies namespace in `openjij/declare.hpp` 193 194
* supports `numpy.ndarray` object for `sample_qubo` 192
python
import numpy as np
import openjij as oj
Q = np.array([[1,0,0],[0,1,1],[1,1,1]])
sampler = oj.SASampler()
sampler.sample_qubo(Q, num_reads=10)


Bug fixes
* fix `num_reads` behavior 192

0.3.5

New features & Updates
* improve memory performance 183
Bug fixes
* fix keyword arguments 182

0.3.4

New features & Updates
Bug fixes
* remove `.reserve` from `src/graph/sparse.hpp` to avoid bad alloc error 180

0.3.3

0.3.2

0.3.1

* fix bug which occurs with `sample_qubo` solver and sparse graph

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