对于 Django 网站,我使用了 Thomas Finley 的 glpk Python 库(http://tfinley.net/software/pyglpk/glpk.html#LPX http://tfinley.net/software/pyglpk/glpk.html#LPX) 求解整数线性规划。我按照他的教程进行操作(参见“简单示例”http://tfinley.net/software/pyglpk/discussion.html http://tfinley.net/software/pyglpk/discussion.html或在帖子的底部)构建我的实例,但是在更新我的系统(并且我假设是 python-glpk)之后,我现在收到此错误:
----> 1 lp = glpk.LPX()
AttributeError: 'module' object has no attribute 'LPX'
如果您想重现该错误,可以使用我粘贴在这里的示例(错误应该在第二行时发生):
import glpk # Import the GLPK module
lp = glpk.LPX() # Create empty problem instance
lp.name = 'sample' # Assign symbolic name to problem
lp.obj.maximize = True # Set this as a maximization problem
lp.rows.add(3) # Append three rows to this instance
for r in lp.rows: # Iterate over all rows
r.name = chr(ord('p')+r.index) # Name them p, q, and r
lp.rows[0].bounds = None, 100.0 # Set bound -inf < p <= 100
lp.rows[1].bounds = None, 600.0 # Set bound -inf < q <= 600
lp.rows[2].bounds = None, 300.0 # Set bound -inf < r <= 300
lp.cols.add(3) # Append three columns to this instance
for c in lp.cols: # Iterate over all columns
c.name = 'x%d' % c.index # Name them x0, x1, and x2
c.bounds = 0.0, None # Set bound 0 <= xi < inf
lp.obj[:] = [ 10.0, 6.0, 4.0 ] # Set objective coefficients
lp.matrix = [ 1.0, 1.0, 1.0, # Set nonzero entries of the
10.0, 4.0, 5.0, # constraint matrix. (In this
2.0, 2.0, 6.0 ] # case, all are non-zero.)
lp.simplex() # Solve this LP with the simplex method
在我尝试用另一个库重写我的代码之前(通过快速查找一个库,我没有找到很多令人信服的东西),是否有一个简单的解决方案? (例如,此处使用的函数是否已重命名为其他名称?)
在此先感谢您的帮助。