def __init__(self, clpModel, bucketSize=1):
self.dim = clpModel.nConstraints + clpModel.nVariables
self.clpModel = clpModel
# Require extra check after leaving variable is chosen
clpModel.useCustomPrimal(True)
#self.banList = np.array([])
self.orgBan = np.array(self.dim * [True], np.bool)
self.notBanned = self.orgBan.copy()
self.complementarityList = np.arange(self.dim)
#Positive-edge-related attributes
self.isDegenerate = False
# Create some numpy arrays here ONCE to prevent memory
# allocation at each iteration
self.aColumn = CyCoinIndexedVector()
self.aColumn.reserve(self.dim)
self.w = CyCoinIndexedVector()
self.w.reserve(self.clpModel.nRows)
self.rhs = np.empty(self.clpModel.nRows, dtype=np.double)
self.EPSILON = 10**-7
self.lastUpdateIteration = 0
self.compCount = 0
self.nonCompCount = 0
self.compRej = 0
self.numberOfIncompSinceLastUpdate = 0
self.last_p_count = 0
self.iCounter = 0
self.iInterval = 100
def __init__(self, clpModel, EPSILON=10 ** (-7)):
self.clpModel = clpModel
self.dim = self.clpModel.nRows + self.clpModel.nCols
self.isDegenerate = False
# Create some numpy arrays here ONCE to prevent memory
# allocation at each iteration
self.aColumn = CyCoinIndexedVector()
self.aColumn.reserve(self.dim)
self.w = CyCoinIndexedVector()
self.w.reserve(self.clpModel.nRows)
self.rhs = np.empty(self.clpModel.nRows, dtype=np.double)
self.EPSILON = EPSILON
self.lastUpdateIteration = 0
def setUp(self):
self.c = CyCoinIndexedVector()
self.c.reserve(5)
