本文整理汇总了Python中pulp.LpProblem.setSolver方法的典型用法代码示例。如果您正苦于以下问题：Python LpProblem.setSolver方法的具体用法？Python LpProblem.setSolver怎么用？Python LpProblem.setSolver使用的例子？那么恭喜您, 这里精选的方法代码示例或许可以为您提供帮助。您也可以进一步了解该方法所在类pulp.LpProblem的用法示例。
在下文中一共展示了LpProblem.setSolver方法的1个代码示例，这些例子默认根据受欢迎程度排序。您可以为喜欢或者感觉有用的代码点赞，您的评价将有助于系统推荐出更棒的Python代码示例。
示例1: build_problem
# 需要导入模块: from pulp import LpProblem [as 别名]
# 或者: from pulp.LpProblem import setSolver [as 别名]
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()