+oscar.j.benja...@gmail.com   I have made changes you suggested about
refactoring test_ode.py in phase-I. could you please review it again?

On Sun, Mar 15, 2020 at 7:40 PM Oscar Benjamin <oscar.j.benja...@gmail.com>
wrote:

> I think it would be better to refactor the tests at the start as in
> https://github.com/sympy/sympy/issues/18377
> That can significantly increase test coverage which gives more
> confidence when refactoring everything else. It would also make it
> possible to compare timings before and after the refactor.
>
> On Sun, 15 Mar 2020 at 11:51, mohit balwani
> <mohitbalwani.ic...@gmail.com> wrote:
> >
> > +oscar.j.benja...@gmail.com can you please review the changes in
> proposal so that i know what i need to make changes in it?
> > On Friday, March 13, 2020 at 10:27:39 PM UTC+5:30, mohit balwani wrote:
> >>
> >> hello,
> >>  I have made some changes in project motivation. Does this look good or
> Should I detail that more?
> >>
> >> On Thu, Mar 12, 2020 at 5:15 AM Oscar Benjamin <
> oscar.j.benja...@gmail.com> wrote:
> >>>
> >>> I think it would be good to spend more time explaining what changes
> >>> you will make and why.
> >>>
> >>> Don't assume that someone reviewing this proposal will understand the
> >>> current problems of the ODE module or why your proposal is beneficial.
> >>> You should make it clear to them what the problems are and how your
> >>> proposed changes will lead to tangible improvements. (This advice
> >>> applies to all GSOC applicants)
> >>>
> >>> --
> >>> Oscar
> >>>
> >>> On Wed, 11 Mar 2020 at 19:19, mohit balwani
> >>> <mohitbalwani.ic...@gmail.com> wrote:
> >>> >
> >>> > Hi,
> >>> >
> >>> > Here is rough draft of my GSoC proposal
> >>> >
> >>> >
> https://docs.google.com/document/d/1slfj2CJRgKpmf0zOW93YkxYUDUvutTmkDX6BmsFfmIs/edit?usp=drivesdk
> >>> >
> >>> > Any suggestions would really be appreciated.
> >>> >
> >>> > On Tue, Mar 10, 2020, 9:15 PM Oscar Benjamin <
> oscar.j.benja...@gmail.com> wrote:
> >>> >>
> >>> >> Hi Mohit,
> >>> >>
> >>> >> You don't need to resend the previous emails. This discussion is
> >>> >> becoming too detailed though and belongs on the Github issue for
> >>> >> refactoring the ODE module:
> >>> >> https://github.com/sympy/sympy/issues/18348
> >>> >>
> >>> >> Oscar
> >>> >>
> >>> >> On Tue, 10 Mar 2020 at 15:26, mohit balwani
> >>> >> <mohitbalwani.ic...@gmail.com> wrote:
> >>> >> >
> >>> >> > hello,
> >>> >> >
> >>> >> > so should I resend the previous mail to the mailing list?
> >>> >> >
> >>> >> > On Tue, Mar 10, 2020 at 6:59 PM mohit balwani <
> mohitbalwani.ic...@gmail.com> wrote:
> >>> >> >>
> >>> >> >> For pattern matching, I kept in mind that we can extract the
> elements of our general solution from the equation with direct matching
> just like First_linear. And for `SingleODESolver` there will be proper
> logic checking whether the given equation matches or not.
> >>> >> >>
> >>> >> >> I am a bit confused about how all linear solvers can be based on
> pattern because
> >>> >> >> let's say we want to implement
> `nth_linear_constant_coeff_undetermined_coefficients`.
> >>> >> >> its general equation is
> >>> >> >>
> >>> >> >>     a_n f^{(n)}(x) + a_{n-1} f^{(n-1)}(x) + .. + a_1 f'(x)  +
> a_0 f(x) = P(x)
> >>> >> >>
> >>> >> >> Now p(x) needs to have a finite number of linearly independent
> derivatives and in pattern matching to write general solution we should use
> the extracted elements given by wilds function.
> >>> >> >>
> >>> >> >> On Tue, Mar 10, 2020 at 4:18 PM Oscar Benjamin <
> oscar.j.benja...@gmail.com> wrote:
> >>> >> >>>
> >>> >> >>> I think the series solvers should probably have their own
> superclass.
> >>> >> >>> I'd like to move them out of normal dsolve anyway.
> >>> >> >>>
> >>> >> >>> Of the others I think that probably all the linear ones can be
> based
> >>> >> >>> on the Pattern solver. You should give a rationale for why you
> have
> >>> >> >>> divided them up like this.
> >>> >> >>>
> >>> >> >>> On Tue, 10 Mar 2020 at 10:29, mohit balwani
> >>> >> >>> <mohitbalwani.ic...@gmail.com> wrote:
> >>> >> >>> >
> >>> >> >>> > Hi,
> >>> >> >>> > currently, there are 28 solvers in the ODE module out of
> which 6 solvers have been refactored already.
> >>> >> >>> >
> >>> >> >>> > I have classified the remaining 22 solvers on the basis of
> their parent class whether they should inherit SinglePatternODESolver or
> SingleODESolver
> >>> >> >>> >
> >>> >> >>> >  SinglePatternODESolver
> >>> >> >>> >
> >>> >> >>> > separable
> >>> >> >>> > separable_reduced
> >>> >> >>> > linear_coefficients
> >>> >> >>> > Liouville
> >>> >> >>> > 2nd_linear_airy
> >>> >> >>> > 2nd_linear_bessel
> >>> >> >>> > 2nd_hypergeometrics
> >>> >> >>> >
> >>> >> >>> > SingleODESolver
> >>> >> >>> >
> >>> >> >>> > 1st_exact
> >>> >> >>> > 1st_homogeneous_coeff_subs_indep_div_dep
> >>> >> >>> > 1st_homogeneous_coeff_subs_dep_div_indep
> >>> >> >>> > 1st_power_series
> >>> >> >>> > 2nd_power_series_ordinary
> >>> >> >>> > 2nd_power_series_regular
> >>> >> >>> > nth_linear_constant_coeff_homogeneous
> >>> >> >>> > nth_linear_euler_eq_homogeneous
> >>> >> >>> > nth_linear_constant_coeff_undetermined_coefficients
> >>> >> >>> > nth_linear_euler_eq_nonhomogeneous_undetermined_coefficients
> >>> >> >>> > nth_linear_constant_coeff_variation_of_parameters
> >>> >> >>> > nth_linear_euler_eq_nonhomogeneous_variation_of_parameters
> >>> >> >>> > nth_order_reducible
> >>> >> >>> > 1st_homogeneous_coeff_best ( it just gives the best result
> from "1st_homogeneous_coeff_subs_indep_div_dep" and
> "1st_homogeneous_coeff_subs_dep_div_indep")
> >>> >> >>> > Lie_group
> >>> >> >>> >
> >>> >> >>> > +oscar.j.benja...@gmail.com does this classification look
> good?
> >>> >> >>> > Any suggestions would be really helpful.
> >>> >> >>> >
> >>> >> >>> > Regards,
> >>> >> >>> > Mohit
> >>> >> >>> >
> >>> >> >>> > On Sun, Mar 8, 2020 at 1:53 PM mohit balwani <
> mohitbalwani.ic...@gmail.com> wrote:
> >>> >> >>> >>
> >>> >> >>> >> Hi, oscar
> >>> >> >>> >>
> >>> >> >>> >> I started looking at the (Single) ODE solver closely and as
> suggested by you, they are to be refactored in the form of classes. After
> performing all this work it will be easier to maintain the code and
> whenever a new solver is to be added it will be very easy to add it. In my
> GSoC proposal what exactly I should elaborate on because refactoring
> different solvers will be based on either SinglePatternODESolver
> >>> >> >>> >> or SingleODESolver only and both of the base classes are
> already implemented so we just have to inherit them. one thing I noted that
> there are helper functions in ode.py so I guess they should be moved to
> other file deutils.py may be.
> >>> >> >>> >> so in my proposal should I show the code for one of the
> non-refactored solvers?
> >>> >> >>> >>
> >>> >> >>> >> Thanks,
> >>> >> >>> >> Mohit
> >>> >> >>> >>
> >>> >> >>> >> On Sat, Mar 7, 2020 at 2:22 AM Oscar Benjamin <
> oscar.j.benja...@gmail.com> wrote:
> >>> >> >>> >>>
> >>> >> >>> >>> Hi Mohit,
> >>> >> >>> >>>
> >>> >> >>> >>> That's plenty enough for a GSOC project. You should try to
> go into
> >>> >> >>> >>> more detail in your proposal about exactly what you think
> should
> >>> >> >>> >>> happen though. Perhaps review all of the (single) ODE
> solvers that are
> >>> >> >>> >>> there now and how they can be refactored and simplified or
> improved in
> >>> >> >>> >>> the process.
> >>> >> >>> >>>
> >>> >> >>> >>> Refactoring the tests so that they can be reused will make
> it possible
> >>> >> >>> >>> to run all solvers on all of the tested ODEs which will
> expose many
> >>> >> >>> >>> bugs in the individual solvers. You don't need to worry
> about having
> >>> >> >>> >>> enough to do if you start thinking about fixing those bugs!
> If I was
> >>> >> >>> >>> doing this work myself I would begin with refactoring the
> tests so
> >>> >> >>> >>> that I can use them to compare before/after performance
> while
> >>> >> >>> >>> refactoring the solving code.
> >>> >> >>> >>>
> >>> >> >>> >>> I think this would be too much for one GSOC project but the
> ultimate
> >>> >> >>> >>> goal I would like is to see the ODE code organised more like
> >>> >> >>> >>> integral_steps with rules leading to other rules and so on
> so that we
> >>> >> >>> >>> can have step-by-step solutions and better debugging
> output. Many of
> >>> >> >>> >>> the solvers are actually using substitutions so we should
> make it
> >>> >> >>> >>> possible for a solver to simply match the ODE and say "use
> this
> >>> >> >>> >>> substitution". We can't even begin to implement a
> rule-based system
> >>> >> >>> >>> until dsolve is refactored though.
> >>> >> >>> >>>
> >>> >> >>> >>> Oscar
> >>> >> >>> >>>
> >>> >> >>> >>> On Fri, 6 Mar 2020 at 19:34, mohit balwani <
> mohitbalwani.ic...@gmail.com> wrote:
> >>> >> >>> >>> >
> >>> >> >>> >>> > I am planning to take Refactoring ODE module as a GSoC
> project.
> >>> >> >>> >>> >
> >>> >> >>> >>> > For every solver we need to make it as a separate class
> so that classify_ode() can easily match the ode and return the solution
> right away. After that the test_ode.py also needs to be refactored as there
> are lot of redundant test  and we can use data structures for maintaining
> and testing each and every part of test_ode.py.This will provide uniformity
> as there are some blocks which are not tested.
> >>> >> >>> >>> >
> >>> >> >>> >>> > So will this be enough for GSoC'20?
> >>> >> >>> >>> >
> >>> >> >>> >>> > On Fri, Jan 24, 2020, 12:14 AM Oscar Benjamin <
> oscar.j.benja...@gmail.com> wrote:
> >>> >> >>> >>> >>
> >>> >> >>> >>> >> Those might be able to speed things up but not until the
> ODE module is
> >>> >> >>> >>> >> refactored. The reason the module needs to be refactored
> is that right
> >>> >> >>> >>> >> now it runs the whole of classify_ode including the
> matching code for
> >>> >> >>> >>> >> every single solver.
> >>> >> >>> >>> >>
> >>> >> >>> >>> >> If it just returned the first match straight away and
> computed the
> >>> >> >>> >>> >> result it would be much faster. Then adding new fast
> methods that are
> >>> >> >>> >>> >> tried first can speed things up. As it stands though
> each method that
> >>> >> >>> >>> >> you add will probably just slow it down more. There
> needs to be a
> >>> >> >>> >>> >> refactor first so that classify_ode still works as
> expected even if
> >>> >> >>> >>> >> dsolve does something different.
> >>> >> >>> >>> >>
> >>> >> >>> >>> >>
> >>> >> >>> >>> >> On Thu, 23 Jan 2020 at 16:04, mohit balwani
> >>> >> >>> >>> >> <mohitbalwani.ic...@gmail.com> wrote:
> >>> >> >>> >>> >> >
> >>> >> >>> >>> >> >
> >>> >> >>> >>> >> >
> >>> >> >>> >>> >> > On Thursday, January 9, 2020 at 10:00:33 PM UTC+5:30,
> mohit balwani wrote:
> >>> >> >>> >>> >> >>
> >>> >> >>> >>> >> >> I have ideas of implementing functionalities in ODE
> mentioned in wiki page. with whom should I discuss it?
> >>> >> >>> >>> >> >
> >>> >> >>> >>> >> >
> >>> >> >>> >>> >> >
> >>> >> >>> >>> >> >  I have attached a pdf file in which there are
> shortcut tricks to solve linear ode, i don't know whether these methods are
> already implemented indirectly or  will enhance the speed.But In my opinion
> if they are implemented then lot of work could be saved. For example if we
> look at method of undetermined coefficients, to find a particular integral
> of ode it solves for coefficient by comparing them and call solve which has
> matrix as argument. Now with the help of these tricks we do not need to
> call solve as it will directly find out the coefficients of particular
> integral. This pdf is handwritten notes and i have tried to write them as
> neat and understandable as possible and with each case i have also written
> 1 example so that it becomes easy to go through.
> >>> >> >>> >>> >> >
> >>> >> >>> >>> >> > --
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