def setUp(self):
self.size = 8
#dense graph
self.dense = G.Dense(self.size)
self.dense = self.gen_testcase(self.dense)
#sparse graph
self.sparse = G.Sparse(self.size)
self.sparse = self.gen_testcase(self.sparse)
#chimera graph
#Note: make sure to use ChimeraGPU (not Chimera) when using GPU since the type between FloatType and GPUFloatType is in general different.
self.chimera = G.ChimeraGPU(2, 2)
self.chimera = self.gen_chimera_testcase(self.chimera)
self.seed_for_spin = 1234
self.seed_for_mc = 5678
def convert_to_dense_graph(self) -> cjg.Dense:
"""
Convert to cxxjij.graph.Dense class from Python dictionary (h, J) or Q
"""
N = len(self.indices)
ising_int = self.ising_interactions()
# cxxjij.graph.dense
cxx_dense_ising = cjg.Dense(N)
for i in range(N):
if ising_int[i, i] != 0.0:
cxx_dense_ising[i, i] = ising_int[i, i]
for j in range(i + 1, N):
if ising_int[i, j] != 0.0:
cxx_dense_ising[i, j] = ising_int[i, j]
return cxx_dense_ising