Reputation: 886
I recently reinstalled my python environment and a code that used to work very quickly now creeps at best (usually just hangs taking up more and more memory).
The point at which the code hangs is:
solve(exp(-alpha * x**2) - 0.01, alpha)
I've been able to reproduce this problem with a fresh IPython 0.13.1 session:
In [1]: from sympy import solve, Symbol, exp
In [2]: x = 14.7296138519
In [3]: alpha = Symbol('alpha', real=True)
In [4]: solve(exp(-alpha * x**2) - 0.01, alpha)
this works for integers but also quite slow. In the original code I looped over this looking for hundreds of different alpha's for different values of x (other than 14.7296138519) and it didn't take more than a second.
any thoughts?
Upvotes: 4
Views: 2960
Reputation: 1
I am currently running sympy
ver: 1.11.1
This is for all I know the latest version.
However, hanging as was described, when solving a set of 3 differential for 3 angular double differentials persist.
Eg.:
sols = solve([LE1, LE2, LE3], (the_dd, phi_dd, psi_dd),
simplify=False, rational=False)
Upvotes: 0
Reputation: 19047
The rational=False flag was introduced for such cases as this.
>>> q=14.7296138519
>>> solve(exp(-alpha * q**2) - 0.01, alpha, rational=False)
[0.0212257459123917]
(The explanation is given in the issue cited above.)
Upvotes: 5
Reputation: 886
Rolling back from version 0.7.2 to 0.7.1 solved this problem.
easy_install sympy==0.7.1
I've reported this as a bug to sympy's google code.
Upvotes: 2