本文整理匯總了Python中pulp.LpProblem.setSolver方法的典型用法代碼示例。如果您正苦於以下問題：Python LpProblem.setSolver方法的具體用法？Python LpProblem.setSolver怎麽用？Python LpProblem.setSolver使用的例子？那麽, 這裏精選的方法代碼示例或許可以為您提供幫助。您也可以進一步了解該方法所在類pulp.LpProblem的用法示例。
在下文中一共展示了LpProblem.setSolver方法的1個代碼示例，這些例子默認根據受歡迎程度排序。您可以為喜歡或者感覺有用的代碼點讚，您的評價將有助於係統推薦出更棒的Python代碼示例。
示例1: build_problem
# 需要導入模塊: from pulp import LpProblem [as 別名]
# 或者: from pulp.LpProblem import setSolver [as 別名]
def build_problem(self, model):
""" Create and store solver-specific internal structure for the given model.
Arguments:
model : ConstraintBasedModel
"""
problem = LpProblem(sense=LpMaximize)
problem.setSolver(SELECTED_SOLVER)
#create variables
lpvars = {r_id: LpVariable(r_id, lb, ub) for r_id, (lb, ub) in model.bounds.items()}
#create constraints
table = model.metabolite_reaction_lookup_table()
for m_id in model.metabolites:
problem += lpSum([coeff * lpvars[r_id] for r_id, coeff in table[m_id].items()]) == 0, m_id
self.problem = problem
self.var_ids = model.reactions.keys()
self.constr_ids = model.metabolites.keys()