Thanks. I've filled [an issue](https://github.com/usnistgov/fipy/issues/531)
> On Nov 9, 2017, at 9:39 PM, James Pringle <[email protected]> wrote: > > update -- as of scipy 0.19, linalg.splu had a depreciated option "drop_tol" > which did nothing: > https://docs.scipy.org/doc/scipy-0.19.1/reference/generated/generated/scipy.sparse.linalg.splu.html > > As of version 1.0, the keyword seems to have been dropped entirely, and > should be removed from linearLUSolver.py. It had not done anything, and so > can be removed. > > This is the only place this keyword exists. > > Jamie > > On Thu, Nov 9, 2017 at 6:16 PM, James Pringle <[email protected]> wrote: > Dear all -- > > I just installed fipy from the conda channel with a fresh install of > anaconda. It is based on python 2.7.14. When I run with the scipy solver it > crashes with > > File > "/home/pringle/anaconda3/envs/MYFIPYENV27/lib/python2.7/site-packages/fipy/solvers/scipy/linearLUSolver.py", > line 64, in _solve_ > permc_spec=3) > TypeError: splu() got an unexpected keyword argument 'drop_tol' > > splu is loaded from scipy.sparse.linalg, and indeed it does not have the > drop_tol keyword. When I remove the drop_tol keyword, it appears to run as > intended, and produce good solutions for my problem. > > However, I am not sure that is the optimal solution... > > Jamie Pringle > > _______________________________________________ > fipy mailing list > [email protected] > http://www.ctcms.nist.gov/fipy > [ NIST internal ONLY: https://email.nist.gov/mailman/listinfo/fipy ] _______________________________________________ fipy mailing list [email protected] http://www.ctcms.nist.gov/fipy [ NIST internal ONLY: https://email.nist.gov/mailman/listinfo/fipy ]
