I've looked at that bug.  It's probably the case of just choosing the
wrong relaxation time from the list for exponential curves - maybe the
longest time would be best (actually any time should be fine as long
as it is not 0).  As this is just a bug, then using the 'NS R1rho
2-site' model for this purpose should be ok as, when the bug is
solved, then this will be a non-issue.

As for overriding the __setitem__() method, here it is for the
diffusion tensor object:

http://www.nmr-relax.com/api/3.2/data_store.diff_tensor.DiffTensorSimList-class.html#__setitem__
http://www.nmr-relax.com/api/3.2/data_store.diff_tensor-pysrc.html#DiffTensorSimList.__setitem__

Here it is used to prevent values being set.  But the method can be
made to check the input, that it's a list, and remove the model from
the list that corresponds to the model being set.  What do you think
of this approach for filtering the model list?  Here is a simple and
functional code example:

-----
class A(dict):
    def __setitem__(self, key, val):
        if val == None:
            raise NameError("The value of None is not supported.")
        print("Setting the key '%s' to %s." % (key, val))
        dict.__setitem__(self, key, val)

a = A()
print(a)
a['x'] = 10
print(a)
a['y'] = 'test'
print(a)
a['z'] = None
print(a)
-----

As you can see, this is quite easy to set up.  And creating a special
method to pick the single model to use for nesting would also be easy,

Regards,

Edward


On 19 August 2014 13:17, Troels Emtekær Linnet <tlin...@nmr-relax.com> wrote:
> Hi Edward.
>
> I agree with your list, and aim for this,
>
> I though see a little error:
> TP02 <- NS R1RHO 2-site, MP05, TAP03
>
> The analytical R1rho off resonance can't learn from NS R1RHO 2-site,
> since there is a bug in this model.
> bug #22461(https://gna.org/bugs/?22461): NS R1rho 2-site_fit_r1 has
> extremely high chi2 value in systemtest
> Relax_disp.test_r1rho_kjaergaard_missing_r1
>
>
> Best
> Troels
>
> 2014-08-19 12:23 GMT+02:00 Edward d'Auvergne <edw...@nmr-relax.com>:
>> Hi,
>>
>> Could these be turned into the MODEL_NEST dictionary?  I.e. as you
>> have done with the MODEL_DESC, MODEL_PARAMS, MODEL_YEAR,
>> MODEL_EXP_TYPE, etc.  I have expanded your table to the following.
>> This is for the manual, which I am adding at the moment.
>>
>> R2EFF <- None
>> NOREX <- None
>> LM63 <- None
>> LM63 3-site <- LM63
>> CR72 <- NS CPMG 2-site 3D, NS CPMG 2-site star, NS CPMG 2-site
>> expanded, B14, CR72, NS CPMG 2-site 3D full, NS CPMG 2-site star full,
>> B14 full, CR72 full
>> CR72 full <- NS CPMG 2-site 3D full, NS CPMG 2-site star full, B14
>> full, CR72 full, NS CPMG 2-site 3D, NS CPMG 2-site star, NS CPMG
>> 2-site expanded, B14, CR72
>> IT99 <- None
>> TSMFK01 <- None
>> B14 <- NS CPMG 2-site 3D, NS CPMG 2-site star, NS CPMG 2-site
>> expanded, B14, CR72, NS CPMG 2-site 3D full, NS CPMG 2-site star full,
>> B14 full, CR72 full
>> B14 full <- NS CPMG 2-site 3D full, NS CPMG 2-site star full, B14
>> full, CR72 full, NS CPMG 2-site 3D, NS CPMG 2-site star, NS CPMG
>> 2-site expanded, B14, CR72
>> M61 <- None
>> M61B <- None
>> DPL94 <- None
>> DPL94 R1 fit <- None
>> TP02 <- MP05, TAP03, TP02
>> TP02 R1 fit <- MP05 R1 fit, TAP03 R1 fit, TP02 R1 fit
>> TAP03 <- MP05, TAP03, TP02
>> TAP03 R1 fit <- MP05 R1 fit, TAP03 R1 fit, TP02 R1 fit
>> MP05 <- MP05, TAP03, TP02
>> MP05 R1 fit <- MP05 R1 fit, TAP03 R1 fit, TP02 R1 fit
>> NS CPMG 2-site 3D <- NS CPMG 2-site 3D, NS CPMG 2-site star, NS CPMG
>> 2-site expanded, B14, CR72, NS CPMG 2-site 3D full, NS CPMG 2-site
>> star full, B14 full, CR72 full
>> NS CPMG 2-site 3D full <- NS CPMG 2-site 3D full, NS CPMG 2-site star
>> full, B14 full, CR72 full, NS CPMG 2-site 3D, NS CPMG 2-site star, NS
>> CPMG 2-site expanded, B14, CR72
>> NS CPMG 2-site star <- NS CPMG 2-site 3D, NS CPMG 2-site star, NS CPMG
>> 2-site expanded, B14, CR72, NS CPMG 2-site 3D full, NS CPMG 2-site
>> star full, B14 full, CR72 full
>> NS CPMG 2-site star full <- NS CPMG 2-site 3D full, NS CPMG 2-site
>> star full, B14 full, CR72 full, NS CPMG 2-site 3D, NS CPMG 2-site
>> star, NS CPMG 2-site expanded, B14, CR72
>> NS CPMG 2-site expanded <- NS CPMG 2-site 3D, NS CPMG 2-site star, NS
>> CPMG 2-site expanded, B14, CR72, NS CPMG 2-site 3D full, NS CPMG
>> 2-site star full, B14 full, CR72 full
>> NS R1RHO 2-site <- MP05, TAP03, TP02
>> NS R1RHO 2-site R1 fit <- MP05 R1 fit, TAP03 R1 fit, TP02 R1 fit
>> NS R1RHO 3-site <- NS R1RHO 3-site linear, NS R1RHO 2-site, MP05, TAP03, TP02
>> NS R1RHO 3-site linear <- NS R1RHO 3-site linear, NS R1RHO 2-site,
>> MP05, TAP03, TP02
>> MMQ CR72 <- NS MMQ 2-site, MMQ CR72, CR72
>> NS MMQ 2-site <- NS MMQ 2-site, MMQ CR72, CR72
>> NS MMQ 3-site <- NS MMQ 3-site linear, NS MMQ 2-site, MMQ CR72, CR72
>> NS MMQ 3-site linear <- NS MMQ 2-site, MMQ CR72, CR72
>>
>> There are some issues here:
>>
>> 1)  Because of model instability, we should exclude some of these
>> combinations.  For example:
>>
>> CR72 <- NS CPMG 2-site 3D, NS CPMG 2-site star, NS CPMG 2-site
>> expanded, B14, CR72, NS CPMG 2-site 3D full, NS CPMG 2-site star full,
>> B14 full, CR72 full
>>
>> The model instability is in the '* full' models.  No one really uses
>> these in publications, other than theoretical ones, as they are rarely
>> usable in practice.  The separation of R20A != R20B introduces huge
>> instabilities and possibly multiple minima in the space.  The results
>> from these models almost always terrible.  For these models to be
>> useful, some NMR spectroscopist needs to publish a comprehensive study
>> of their optimisation properties.  This is similar to to the 3-site
>> model instability problems.  Both problems are open-ended and not yet
>> solved by the dispersion field.
>>
>> 2)  Another problem is with the MMQ models.  CR72 cannot be used for
>> these, as CR72 does not support all of the MMQ experiment types and
>> hence cannot be optimised.
>>
>> 3)  There is model duplication.  CR72 is listed as a nested model for
>> CR72, etc.  A special MODEL_NEST dictionary object where the
>> set_deps() or __setitem__() method removes the 'self' model before
>> storing the list would be useful for this purpose (see
>> http://thread.gmane.org/gmane.science.nmr.relax.devel/6684/focus=6685
>> and 
>> http://www.diveintopython.net/object_oriented_framework/special_class_methods.html).
>>
>> 4)  The 'NS R1rho 2-site' model is not used for the analytic R1rho
>> models, as the 'NS CPMG *' models are for the analytic CPMG models.
>>
>> Therefore a better table eliminated or fixing these problems would be:
>>
>> R2EFF <- None
>> NOREX <- None
>> LM63 <- None
>> LM63 3-site <- LM63
>> CR72 <- NS CPMG 2-site 3D, NS CPMG 2-site star, NS CPMG 2-site expanded, B14
>> CR72 full <- NS CPMG 2-site 3D full, NS CPMG 2-site star full, B14
>> full, NS CPMG 2-site 3D, NS CPMG 2-site star, NS CPMG 2-site expanded,
>> B14, CR72
>> IT99 <- None
>> TSMFK01 <- None
>> B14 <- NS CPMG 2-site 3D, NS CPMG 2-site star, NS CPMG 2-site expanded, CR72
>> B14 full <- NS CPMG 2-site 3D full, NS CPMG 2-site star full, CR72
>> full, NS CPMG 2-site 3D, NS CPMG 2-site star, NS CPMG 2-site expanded,
>> B14, CR72
>> NS CPMG 2-site expanded <- NS CPMG 2-site 3D, NS CPMG 2-site star, NS
>> CPMG 2-site expanded, B14, CR72
>> NS CPMG 2-site 3D <- NS CPMG 2-site star, NS CPMG 2-site expanded, B14, CR72
>> NS CPMG 2-site 3D full <- NS CPMG 2-site star full, B14 full, CR72
>> full, NS CPMG 2-site 3D, NS CPMG 2-site star, NS CPMG 2-site expanded,
>> B14, CR72
>> NS CPMG 2-site star <- NS CPMG 2-site 3D, NS CPMG 2-site expanded, B14, CR72
>> NS CPMG 2-site star full <- NS CPMG 2-site 3D full, B14 full, CR72
>> full, NS CPMG 2-site 3D, NS CPMG 2-site star, NS CPMG 2-site expanded,
>> B14, CR72
>> M61 <- None
>> M61B <- None
>> DPL94 <- None
>> DPL94 R1 fit <- None
>> TP02 <- NS R1RHO 2-site, MP05, TAP03
>> TP02 R1 fit <- MP05 R1 fit, TAP03 R1 fit
>> TAP03 <- NS R1RHO 2-site, MP05, TP02
>> TAP03 R1 fit <- MP05 R1 fit, TP02 R1 fit
>> MP05 <- NS R1RHO 2-site, TAP03, TP02
>> MP05 R1 fit <- TAP03 R1 fit, TP02 R1 fit
>> NS R1RHO 2-site <- MP05, TAP03, TP02
>> NS R1RHO 2-site R1 fit <- MP05 R1 fit, TAP03 R1 fit, TP02 R1 fit
>> NS R1RHO 3-site linear <- NS R1RHO 2-site, MP05, TAP03, TP02
>> NS R1RHO 3-site <- NS R1RHO 3-site linear, NS R1RHO 2-site, MP05, TAP03, TP02
>> MMQ CR72 <- NS MMQ 2-site
>> NS MMQ 2-site <- MMQ CR72
>> NS MMQ 3-site linear <- NS MMQ 2-site, MMQ CR72
>> NS MMQ 3-site <- NS MMQ 3-site linear, NS MMQ 2-site, MMQ CR72
>>
>> What do you think?  I will add this version to the manual.
>>
>> Regards,
>>
>> Edward
>>
>>
>> P. S.  Note that CR72 should always be optimised before the numerical
>> models!  A grid search for the numerical models is pretty much
>> impossible - it takes far too long.  As the CR72 model will always be
>> optimised before the numeric models in the auto-analysis (I can add
>> the ordering function, if required), then having the NS models in the
>> list is not needed.  This is really a massively important part of the
>> paper (http://dx.doi.org/10.1093/bioinformatics/btu166).  The CR72
>> model is very stable and is in the most number of cases the best
>> approximation for the numerical solution.  Of course, now we have B14
>> which is better.  But CR72 is really fast and using it as a starting
>> point for the other CPMG models really massively speeds up an analysis
>> with the NS models.
>>
>> On 19 August 2014 10:50, Troels Emtekær Linnet <tlin...@nmr-relax.com> wrote:
>>> Hi Edward.
>>>
>>> After having sleeping on it, I will now change to a hard-coded version.
>>>
>>> You will see, that I have some differences from you.
>>>
>>> I will also accept, that CR72 can learn from the other similar models.
>>>
>>> I cannot see the argument, why this should not be the case?
>>>
>>>
>>> It looks like this:
>>> ------------
>>>
>>> # Define recurring lists.
>>> ## For CPMG.
>>> MODEL_NEST_LIST_CPMG = [MODEL_NS_CPMG_2SITE_3D,
>>> MODEL_NS_CPMG_2SITE_STAR, MODEL_NS_CPMG_2SITE_EXPANDED, MODEL_B14,
>>> MODEL_CR72]
>>> MODEL_NEST_LIST_CPMG_R20B = [MODEL_NS_CPMG_2SITE_3D_FULL,
>>> MODEL_NS_CPMG_2SITE_STAR_FULL, MODEL_B14_FULL, MODEL_CR72_FULL]
>>> ## For R1rho.
>>> MODEL_NEST_LIST_R1RHO_2SITE = [MODEL_MP05, MODEL_TAP03, MODEL_TP02]
>>> MODEL_NEST_LIST_R1RHO_2SITE_FIT_R1 = [MODEL_MP05_FIT_R1,
>>> MODEL_TAP03_FIT_R1, MODEL_TP02_FIT_R1]
>>> MODEL_NEST_LIST_R1RHO_3SITE = [MODEL_NS_R1RHO_3SITE_LINEAR,
>>> MODEL_NS_R1RHO_2SITE]
>>> ## For CPMG MMQ.
>>> MODEL_NEST_LIST_MMQ_2SITE = [MODEL_NS_MMQ_2SITE, MODEL_MMQ_CR72, MODEL_CR72]
>>> MODEL_NEST_LIST_MMQ_3SITE = [MODEL_NS_MMQ_3SITE_LINEAR]
>>>
>>> # Define order of nesting models for each model.
>>> MODEL_NEST_R2EFF = None
>>> MODEL_NEST_NOREX = None
>>> MODEL_NEST_NOREX_R1RHO = None
>>> MODEL_NEST_NOREX_R1RHO_FIT_R1 = None
>>> MODEL_NEST_LM63 = None
>>> MODEL_NEST_LM63_3SITE = [MODEL_LM63]
>>> MODEL_NEST_CR72 = MODEL_NEST_LIST_CPMG + MODEL_NEST_LIST_CPMG_R20B
>>> MODEL_NEST_CR72_FULL = MODEL_NEST_LIST_CPMG_R20B + MODEL_NEST_LIST_CPMG
>>> MODEL_NEST_IT99 = None
>>> MODEL_NEST_TSMFK01 = None
>>> MODEL_NEST_B14 = MODEL_NEST_LIST_CPMG + MODEL_NEST_LIST_CPMG_R20B
>>> MODEL_NEST_B14_FULL = MODEL_NEST_LIST_CPMG_R20B + MODEL_NEST_LIST_CPMG
>>> MODEL_NEST_M61 = None
>>> MODEL_NEST_M61B = None
>>> MODEL_NEST_DPL94 = None
>>> MODEL_NEST_DPL94_FIT_R1 = None
>>> MODEL_NEST_TP02 = MODEL_NEST_LIST_R1RHO_2SITE
>>> MODEL_NEST_TP02_FIT_R1 = MODEL_NEST_LIST_R1RHO_2SITE_FIT_R1
>>> MODEL_NEST_TAP03 = MODEL_NEST_LIST_R1RHO_2SITE
>>> MODEL_NEST_TAP03_FIT_R1 = MODEL_NEST_LIST_R1RHO_2SITE_FIT_R1
>>> MODEL_NEST_MP05 = MODEL_NEST_LIST_R1RHO_2SITE
>>> MODEL_NEST_MP05_FIT_R1 = MODEL_NEST_LIST_R1RHO_2SITE_FIT_R1
>>> MODEL_NEST_NS_CPMG_2SITE_3D = MODEL_NEST_LIST_CPMG + 
>>> MODEL_NEST_LIST_CPMG_R20B
>>> MODEL_NEST_NS_CPMG_2SITE_3D_FULL = MODEL_NEST_LIST_CPMG_R20B +
>>> MODEL_NEST_LIST_CPMG
>>> MODEL_NEST_NS_CPMG_2SITE_STAR = MODEL_NEST_LIST_CPMG + 
>>> MODEL_NEST_LIST_CPMG_R20B
>>> MODEL_NEST_NS_CPMG_2SITE_STAR_FULL = MODEL_NEST_LIST_CPMG_R20B +
>>> MODEL_NEST_LIST_CPMG
>>> MODEL_NEST_NS_CPMG_2SITE_EXPANDED = MODEL_NEST_LIST_CPMG +
>>> MODEL_NEST_LIST_CPMG_R20B
>>> MODEL_NEST_NS_R1RHO_2SITE = MODEL_NEST_LIST_R1RHO_2SITE
>>> MODEL_NEST_NS_R1RHO_2SITE_FIT_R1 = MODEL_NEST_LIST_R1RHO_2SITE_FIT_R1
>>> MODEL_NEST_NS_R1RHO_3SITE = MODEL_NEST_LIST_R1RHO_3SITE +
>>> MODEL_NEST_LIST_R1RHO_2SITE
>>> MODEL_NEST_NS_R1RHO_3SITE_LINEAR = MODEL_NEST_LIST_R1RHO_3SITE +
>>> MODEL_NEST_LIST_R1RHO_2SITE
>>> MODEL_NEST_MMQ_CR72 = MODEL_NEST_LIST_MMQ_2SITE
>>> MODEL_NEST_NS_MMQ_2SITE = MODEL_NEST_LIST_MMQ_2SITE
>>> MODEL_NEST_NS_MMQ_3SITE = MODEL_NEST_LIST_MMQ_3SITE + 
>>> MODEL_NEST_LIST_MMQ_2SITE
>>> MODEL_NEST_NS_MMQ_3SITE_LINEAR = MODEL_NEST_LIST_MMQ_2SITE
>>>
>>> 2014-08-19 10:21 GMT+02:00 Edward d'Auvergne <edw...@nmr-relax.com>:
>>>> Hi,
>>>>
>>>> Here is a mini-proposal for a special Python dictionary object to help
>>>> with dispersion model nesting:
>>>>
>>>> -----
>>>> class Model_nesting(dict):
>>>>     """Special object for handling model nesting for avoiding the grid
>>>> search."""
>>>>
>>>>     def get_deps(self, model):
>>>>         """Return the dependency list for the given model."""
>>>>
>>>>         return self[model]
>>>>
>>>>
>>>>     def set_deps(self, model, deps=None):
>>>>         """Set the model dependency list for the given model."""
>>>>
>>>>         self[model] = deps
>>>>
>>>>
>>>> MODEL_NESTING = Model_nesting()
>>>> MODEL_NESTING['B14 full'] = ['CR72 full', 'B14', 'CR72']
>>>> -----
>>>>
>>>> The class would be in the specific_analyses.relax_disp.models module
>>>> and the MODEL_NESTING instantiation in the
>>>> specific_analyses.relax_disp.variables module.  This can have error
>>>> checking added and additional methods for manipulating the data added.
>>>> The get_deps() and set_deps() methods are optional for the power user.
>>>> They may be useful if the __getattr__(), __getitem__(), __setattr__(),
>>>> and __setitem__() methods are overridden to allow for better object
>>>> control (see the objects in the data_store package for how this is
>>>> done).  A get_dep() method could be added which accepts the model and
>>>> a list of the currently optimised models and then returns the nested
>>>> model to be used or None, i.e. to implement the model preference.
>>>>
>>>> Or, this could just be a normal Python dictionary rather than a
>>>> special dictionary object.  Such an object could be used by relax
>>>> power users, via scripting, to implement their own relaxation
>>>> dispersion analysis protocol.  But this is just an idea and many
>>>> alternatives exist.
>>>>
>>>> Regards,
>>>>
>>>> Edward
>>>>
>>>>
>>>> On 19 August 2014 10:07, Edward d'Auvergne <edw...@nmr-relax.com> wrote:
>>>>> Hi Troels,
>>>>>
>>>>> This continues from
>>>>> http://thread.gmane.org/gmane.science.nmr.relax.scm/22733/, and all
>>>>> the related threads.  For the change of r25060
>>>>> (http://article.gmane.org/gmane.science.nmr.relax.scm/22810), could
>>>>> you please document all cases?  I.e. model x takes its parameters from
>>>>> model y, and then do this for all models.  See the table below for how
>>>>> to document this.  This algorithm really worries me and I strongly
>>>>> think that this development is in the wrong direction.  All models are
>>>>> special cases!  You can't just take any model as the starting point
>>>>> for another.  The following ordering is not a good idea:
>>>>>
>>>>> 1)  EQ_NUMERIC, EQ_SILICO, EQ_ANALYTIC.
>>>>> 2)  Year (from newest).
>>>>> 3)  Number of sites.
>>>>>
>>>>> Models should be rather classified in the following groups:
>>>>>
>>>>> 1)  Parameter nesting (related to 2).  The models should ideally have
>>>>> identical parameter sets.
>>>>> 2)  Fast exchange, slow exchange, very slow exchange, vs. all exchange
>>>>> regimes.  These are mutually exclusive (apart from the last).
>>>>> 3)  The pA >> pB limit - this can never be mixed with the normal pA >
>>>>> pB condition.
>>>>> 4)  Model stability (i.e. stable vs. unstable).
>>>>> 5)  Model accuracy.
>>>>> 6)  Analytic vs. numeric.
>>>>>
>>>>> This is in order of importance.  Part 2) here excludes most
>>>>> combinations of the new algorithm - you cannot mix the models for
>>>>> different mutually exclusive exchange regimes.
>>>>>
>>>>> The one and only aim is for speed by avoiding the grid search,
>>>>> therefore the nested model from which the parameters are copied from
>>>>> must be a good estimate for the solution of the target model.  I would
>>>>> then propose the following table mapping models to nested models for
>>>>> avoiding the grid search.  The order is also the order of
>>>>> optimisation, as you will see from the nested model dependencies.  The
>>>>> proposal is:
>>>>>
>>>>> R2eff                    <- None
>>>>> No Rex                   <- None
>>>>>
>>>>> LM63                     <- None
>>>>> LM63 3-site              <- LM63
>>>>> CR72                     <- None
>>>>> CR72 full                <- CR72
>>>>> IT99                     <- None
>>>>> TSMFK01                  <- None
>>>>> B14                      <- CR72
>>>>> B14 full                 <- CR72 full, B14, CR72
>>>>> NS CPMG 2-site expanded  <- B14, CR72
>>>>> NS CPMG 2-site 3D        <- NS CPMG 2-site expanded, B14, CR72
>>>>> NS CPMG 2-site 3D full   <- B14 full, CR72 full, NS CPMG 2-site
>>>>> expanded, B14, CR72
>>>>> NS CPMG 2-site star      <- NS CPMG 2-site expanded, B14, CR72
>>>>> NS CPMG 2-site star full <- B14 full, CR72 full, NS CPMG 2-site
>>>>> expanded, B14, CR72
>>>>>
>>>>> M61                      <- None
>>>>> M61 skew                 <- None
>>>>> DPL94                    <- None
>>>>> DPL94 R1 fit             <- DPL94
>>>>> TP02                     <- None
>>>>> TP02 R1 fit              <- TP02
>>>>> TAP03                    <- None
>>>>> TAP03 R1 fit             <- TAP03
>>>>> MP05                     <- TAP03, TP02
>>>>> MP05 R1 fit              <- MP05, TAP03, TP02
>>>>> NS R1rho 2-site          <- MP05, TAP03, TP02
>>>>> NS R1rho 2-site R1 fit   <- NS R1rho 2-site, MP05, TAP03, TP02
>>>>> NS R1rho 3-site linear   <- NS R1rho 2-site, MP05, TAP03, TP02
>>>>> NS R1rho 3-site          <- NS R1rho 3-site linear, NS R1rho 2-site,
>>>>> MP05, TAP03, TP02
>>>>>
>>>>> MMQ CR72                 <- None
>>>>> NS MMQ 2-site            <- MMQ CR72
>>>>> NS MMQ 3-site linear     <- NS MMQ 2-site, MMQ CR72
>>>>> NS MMQ 3-site            <- NS MMQ 3-site linear, NS MMQ 2-site, MMQ CR72
>>>>>
>>>>> In the second column, the list of models indicate importance.  For
>>>>> example for the 'B14 full' model, the 'CR72 full' model is the first
>>>>> preference.  If that model has not been optimised, then B14 is used.
>>>>> And if B14 is missing, the fall back is to CR72.  If none of these
>>>>> models have been optimised, the grid search will be performed.  In
>>>>> this case, 'CR72 full' is preferred as it has perfect parameter
>>>>> nesting - all parameters of 'B14 full' are found in 'CR72 full'.  The
>>>>> B14 and CR72 are fallbacks - here R20A and R20B are copied from R20 so
>>>>> they start optimisation as R20A == R20B.  Hence 'CR72 full' whereby
>>>>> R20A != R20B is a much better starting point as R20A and R20B have
>>>>> been optimised to different values.  But the large model instability
>>>>> in 'CR72 full' might make the user want to start with 'B14'.
>>>>>
>>>>> For the '* R1 fit' models, this nesting is of little interest in
>>>>> experimental cases, as you either measure R1 data or not (measuring it
>>>>> is always preferable for model stability).  Some people who have
>>>>> measured R1 data might still be interested in what will if R1 is
>>>>> nevertheless optimised, so that nesting could be of use.
>>>>>
>>>>> This nesting table is complete as far as I can tell.  Some of this
>>>>> nesting could be still argued to be wrong, for example TP02 with pA <<
>>>>> pB as a starting point.  I would not use any other nesting for fear of
>>>>> creating a very bad optimisation starting position.  The table is very
>>>>> easy to extend for new models as well.  But because of model
>>>>> instability, the user may wish to change this nesting.
>>>>>
>>>>> Regards,
>>>>>
>>>>> Edward
>>>>>
>>>>>
>>>>>
>>>>>
>>>>>
>>>>>
>>>>>
>>>>>
>>>>>
>>>>> On 18 August 2014 18:11, Edward d'Auvergne <edw...@nmr-relax.com> wrote:
>>>>>> Hi Troels,
>>>>>>
>>>>>> I will continue from your last post in the triplet thread at
>>>>>> http://thread.gmane.org/gmane.science.nmr.relax.scm/22737.  I have
>>>>>> copied and pasted your message below:
>>>>>>
>>>>>> On 18 August 2014 17:17, Troels Emtekær Linnet <tlin...@nmr-relax.com> 
>>>>>> wrote:
>>>>>>> I will remove the nesting of IT99, since it also worried me.
>>>>>>
>>>>>> I would also suggest removing TSMFK01, TAP03, M61, M61 skew, and DPL94.
>>>>>>
>>>>>>
>>>>>>> But do you really intent to stay on the argument that nesting should
>>>>>>> always be from CR72?
>>>>>>
>>>>>> No, we need a 3rd solution for this.
>>>>>>
>>>>>>
>>>>>>> What if the model pipe for B14 is available.
>>>>>>> Or from NS CPMG 2-site expanded ?
>>>>>>
>>>>>> We could, for example, have a list of nested models.  For example for
>>>>>> the NS CPMG 2-site expanded model, the list would be [MODEL_B41,
>>>>>> MODEL_CR72].  It used B14 first, but switches to CR72 if B14 is not
>>>>>> available.  This is easy to hardcode in a dictionary (or special
>>>>>> Python dictionary object) and hardcode into a table in the manual.
>>>>>>
>>>>>> For all of the numeric CPMG models, which should be optimised after
>>>>>> the analytic models in all cases so that model nesting can be useful
>>>>>> for speed, I would suggest using B14 and then CR72.  But if you have
>>>>>> fast exchange, then the LM63 model is far better for these models than
>>>>>> B14 or CR72, however the parameters are not nested.  There are
>>>>>> infinite parameter combinations of the numeric models which give the
>>>>>> same parameter values as LM63.
>>>>>>
>>>>>> For the R1rho models, a similar logic would be used.  MP05 replaces
>>>>>> B14, and TP02 replaces CR72.  The BK13 model will also need to be
>>>>>> considered in the future (https://gna.org/support/?3155).  DPL94
>>>>>> replaces LM63 for the fast vs. slow exchange problem, but then you
>>>>>> also have the infinite parameter combination problem.
>>>>>>
>>>>>> Note that the infinite parameter combination problem is actually a
>>>>>> major issue affecting the optimisation of all numeric models when the
>>>>>> exchange is fast, but that no one talks about this!
>>>>>>
>>>>>>
>>>>>>> Is this issue rather related how to sort the models first?
>>>>>>
>>>>>> This is an important issue which requires knowledge of the nesting, as
>>>>>> I mentioned previously.  Our understanding of the models themselves
>>>>>> and our logic based on experiment is far more useful for determining
>>>>>> model nesting and the order in which they should be optimised.  This
>>>>>> is why a hardcoded solution is very powerful.
>>>>>>
>>>>>> Regards,
>>>>>>
>>>>>> Edward
>>>>>>
>>>>>>
>>>>>>
>>>>>> On 12 August 2014 10:54,  <tlin...@nmr-relax.com> wrote:
>>>>>>> Author: tlinnet
>>>>>>> Date: Tue Aug 12 10:54:36 2014
>>>>>>> New Revision: 24983
>>>>>>>
>>>>>>> URL: http://svn.gna.org/viewcvs/relax?rev=24983&view=rev
>>>>>>> Log:
>>>>>>> Added meta information about equation type.
>>>>>>>
>>>>>>> The models are dividided into: analytic, silico or numeric.
>>>>>>>
>>>>>>> sr #3135(https://gna.org/support/?3135): Optimisation of the R1 
>>>>>>> relaxation rate for the off-resonance R1rho relaxation dispersion 
>>>>>>> models.
>>>>>>>
>>>>>>> Modified:
>>>>>>>     branches/R1_fitting/specific_analyses/relax_disp/variables.py
>>>>>>>     
>>>>>>> branches/R1_fitting/test_suite/unit_tests/_specific_analyses/_relax_disp/test_variables.py
>>>>>>>
>>>>>>> Modified: branches/R1_fitting/specific_analyses/relax_disp/variables.py
>>>>>>> URL: 
>>>>>>> http://svn.gna.org/viewcvs/relax/branches/R1_fitting/specific_analyses/relax_disp/variables.py?rev=24983&r1=24982&r2=24983&view=diff
>>>>>>> ==============================================================================
>>>>>>> --- branches/R1_fitting/specific_analyses/relax_disp/variables.py       
>>>>>>> (original)
>>>>>>> +++ branches/R1_fitting/specific_analyses/relax_disp/variables.py       
>>>>>>> Tue Aug 12 10:54:36 2014
>>>>>>> @@ -59,6 +59,12 @@
>>>>>>>  """The list of all dispersion experiment types."""
>>>>>>>
>>>>>>>
>>>>>>> +# Model equation types. Either analytic, silico or numeric.
>>>>>>> +EQ_ANALYTIC = 'analytic'
>>>>>>> +EQ_NUMERIC = 'numeric'
>>>>>>> +EQ_SILICO = 'silico'
>>>>>>> +
>>>>>>> +
>>>>>>>  # The model names, parameters, and descriptions.
>>>>>>>  MODEL_R2EFF = 'R2eff'
>>>>>>>  MODEL_DESC_R2EFF = "The model for determining the R2eff/R1rho values 
>>>>>>> from peak intensities."
>>>>>>> @@ -67,6 +73,7 @@
>>>>>>>  MODEL_YEAR_R2EFF = 1950
>>>>>>>  MODEL_EXP_TYPE_R2EFF = EXP_TYPE_R2EFF
>>>>>>>  MODEL_SITES_R2EFF = None
>>>>>>> +MODEL_EQ_R2EFF = EQ_ANALYTIC
>>>>>>>
>>>>>>>  MODEL_NOREX = 'No Rex'
>>>>>>>  MODEL_DESC_NOREX = "The model for no chemical exchange relaxation."
>>>>>>> @@ -75,6 +82,7 @@
>>>>>>>  MODEL_YEAR_NOREX = 1951
>>>>>>>  MODEL_EXP_TYPE_NOREX = EXP_TYPE_NOREX
>>>>>>>  MODEL_SITES_NOREX = 1
>>>>>>> +MODEL_EQ_NOREX = EQ_ANALYTIC
>>>>>>>
>>>>>>>  MODEL_NOREX_R1RHO = "No_Rex_R1rho_off_res"
>>>>>>>  MODEL_DESC_NOREX_R1RHO = "The model for no chemical exchange 
>>>>>>> relaxation, for R1rho off resonance models."
>>>>>>> @@ -83,6 +91,7 @@
>>>>>>>  MODEL_YEAR_NOREX_R1RHO = 1952
>>>>>>>  MODEL_EXP_TYPE_NOREX_R1RHO = EXP_TYPE_NOREX_R1RHO
>>>>>>>  MODEL_SITES_NOREX_R1RHO = 1
>>>>>>> +MODEL_EQ_NOREX_R1RHO = EQ_ANALYTIC
>>>>>>>
>>>>>>>  MODEL_NOREX_R1RHO_FIT_R1 = "%s_fit_r1"%MODEL_NOREX_R1RHO
>>>>>>>  MODEL_DESC_NOREX_R1RHO_FIT_R1 = "The model for no chemical exchange 
>>>>>>> relaxation, for R1rho off resonance models, where R1 is fitted."
>>>>>>> @@ -91,6 +100,7 @@
>>>>>>>  MODEL_YEAR_NOREX_R1RHO_FIT_R1 = 1953
>>>>>>>  MODEL_EXP_TYPE_NOREX_R1RHO_FIT_R1 = EXP_TYPE_NOREX_R1RHO
>>>>>>>  MODEL_SITES_NOREX_R1RHO_FIT_R1 = 1
>>>>>>> +MODEL_EQ_NOREX_R1RHO_FIT_R1 = EQ_ANALYTIC
>>>>>>>
>>>>>>>  MODEL_LM63 = 'LM63'
>>>>>>>  MODEL_DESC_LM63 = "The Luz and Meiboom (1963) 2-site fast exchange 
>>>>>>> model for SQ-CPMG experiments."
>>>>>>> @@ -98,6 +108,7 @@
>>>>>>>  MODEL_YEAR_LM63 = 1963
>>>>>>>  MODEL_EXP_TYPE_LM63 = EXP_TYPE_CPMG_SQ
>>>>>>>  MODEL_SITES_LM63 = 2
>>>>>>> +MODEL_EQ_LM63 = EQ_ANALYTIC
>>>>>>>
>>>>>>>  MODEL_LM63_3SITE = 'LM63 3-site'
>>>>>>>  MODEL_DESC_LM63_3SITE = "The Luz and Meiboom (1963) 3-site fast 
>>>>>>> exchange model for SQ-CPMG experiments."
>>>>>>> @@ -105,6 +116,7 @@
>>>>>>>  MODEL_YEAR_LM63_3SITE = 1963
>>>>>>>  MODEL_EXP_TYPE_LM63_3SITE = EXP_TYPE_CPMG_SQ
>>>>>>>  MODEL_SITES_LM63_3SITE = 3
>>>>>>> +MODEL_EQ_LM63_3SITE = EQ_ANALYTIC
>>>>>>>
>>>>>>>  MODEL_CR72 = 'CR72'
>>>>>>>  MODEL_DESC_CR72 = "The reduced Carver and Richards (1972) 2-site model 
>>>>>>> for all time scales for SQ-CPMG experiments, whereby the simplification 
>>>>>>> R20A = R20B is assumed."
>>>>>>> @@ -112,6 +124,7 @@
>>>>>>>  MODEL_YEAR_CR72 = 1972
>>>>>>>  MODEL_EXP_TYPE_CR72 = EXP_TYPE_CPMG_SQ
>>>>>>>  MODEL_SITES_CR72 = 2
>>>>>>> +MODEL_EQ_CR72 = EQ_ANALYTIC
>>>>>>>
>>>>>>>  MODEL_CR72_FULL = 'CR72 full'
>>>>>>>  MODEL_DESC_CR72_FULL = "The full Carver and Richards (1972) 2-site 
>>>>>>> model for all time scales for SQ-CPMG experiments."
>>>>>>> @@ -119,6 +132,7 @@
>>>>>>>  MODEL_YEAR_CR72_FULL = 1972
>>>>>>>  MODEL_EXP_TYPE_CR72_FULL = EXP_TYPE_CPMG_SQ
>>>>>>>  MODEL_SITES_CR72_FULL = 2
>>>>>>> +MODEL_EQ_CR72_FULL = EQ_ANALYTIC
>>>>>>>
>>>>>>>  MODEL_IT99 = 'IT99'
>>>>>>>  MODEL_DESC_IT99 = "The Ishima and Torchia (1999) 2-site CPMG model for 
>>>>>>> all time scales for SQ-CPMG experiments, with skewed populations (pA >> 
>>>>>>> pB)."
>>>>>>> @@ -126,6 +140,7 @@
>>>>>>>  MODEL_YEAR_IT99 = 1999
>>>>>>>  MODEL_EXP_TYPE_IT99 = EXP_TYPE_CPMG_SQ
>>>>>>>  MODEL_SITES_IT99 = 2
>>>>>>> +MODEL_EQ_IT99 = EQ_ANALYTIC
>>>>>>>
>>>>>>>  MODEL_TSMFK01 = 'TSMFK01'
>>>>>>>  MODEL_DESC_TSMFK01 = "The Tollinger et al. (2001) 2-site very-slow 
>>>>>>> exchange model for SQ-CPMG experiments."
>>>>>>> @@ -133,6 +148,7 @@
>>>>>>>  MODEL_YEAR_TSMFK01 = 2001
>>>>>>>  MODEL_EXP_TYPE_TSMFK01 = EXP_TYPE_CPMG_SQ
>>>>>>>  MODEL_SITES_TSMFK01 = 2
>>>>>>> +MODEL_EQ_TSMFK01 = EQ_ANALYTIC
>>>>>>>
>>>>>>>  MODEL_B14 = 'B14'
>>>>>>>  MODEL_DESC_B14 = "The Baldwin (2014) 2-site CPMG exact solution model 
>>>>>>> for all time scales for SQ-CPMG experiments, whereby the simplification 
>>>>>>> R20A = R20B is assumed."
>>>>>>> @@ -140,6 +156,7 @@
>>>>>>>  MODEL_YEAR_B14 = 2014
>>>>>>>  MODEL_EXP_TYPE_B14 = EXP_TYPE_CPMG_SQ
>>>>>>>  MODEL_SITES_B14 = 2
>>>>>>> +MODEL_EQ_B14 = EQ_ANALYTIC
>>>>>>>
>>>>>>>  MODEL_B14_FULL = 'B14 full'
>>>>>>>  MODEL_DESC_B14_FULL = "The Baldwin (2014) 2-site CPMG exact solution 
>>>>>>> model for all time scales for SQ-CPMG experiments."
>>>>>>> @@ -147,6 +164,7 @@
>>>>>>>  MODEL_YEAR_B14_FULL = 2014
>>>>>>>  MODEL_EXP_TYPE_B14_FULL = EXP_TYPE_CPMG_SQ
>>>>>>>  MODEL_SITES_B14_FULL = 2
>>>>>>> +MODEL_EQ_B14_FULL = EQ_ANALYTIC
>>>>>>>
>>>>>>>  MODEL_M61 = 'M61'
>>>>>>>  MODEL_DESC_M61 = "The Meiboom (1961) on-resonance 2-site fast exchange 
>>>>>>> model for R1rho-type experiments."
>>>>>>> @@ -154,6 +172,7 @@
>>>>>>>  MODEL_YEAR_M61 = 1961
>>>>>>>  MODEL_EXP_TYPE_M61 = EXP_TYPE_R1RHO
>>>>>>>  MODEL_SITES_M61 = 2
>>>>>>> +MODEL_EQ_M61 = EQ_ANALYTIC
>>>>>>>
>>>>>>>  MODEL_M61B = 'M61 skew'
>>>>>>>  MODEL_DESC_M61B = "The Meiboom (1961) on-resonance 2-site model for 
>>>>>>> R1rho-type experiments, with skewed populations (pA >> pB)."
>>>>>>> @@ -161,6 +180,7 @@
>>>>>>>  MODEL_YEAR_M61B = 1961
>>>>>>>  MODEL_EXP_TYPE_M61B = EXP_TYPE_R1RHO
>>>>>>>  MODEL_SITES_M61B = 2
>>>>>>> +MODEL_EQ_M61B = EQ_ANALYTIC
>>>>>>>
>>>>>>>  MODEL_DPL94 = 'DPL94'
>>>>>>>  """The R1rho 2-site fast exchange model of Davis, Perlman and London 
>>>>>>> (1994)."""
>>>>>>> @@ -169,6 +189,7 @@
>>>>>>>  MODEL_YEAR_DPL94 = 1994
>>>>>>>  MODEL_EXP_TYPE_DPL94 = EXP_TYPE_R1RHO
>>>>>>>  MODEL_SITES_DPL94 = 2
>>>>>>> +MODEL_EQ_DPL94 = EQ_ANALYTIC
>>>>>>>
>>>>>>>  MODEL_DPL94_FIT_R1 = "%s_fit_r1"%MODEL_DPL94
>>>>>>>  """The R1rho 2-site fast exchange model of Davis, Perlman and London 
>>>>>>> (1994), where R1 is fitted."""
>>>>>>> @@ -177,6 +198,7 @@
>>>>>>>  MODEL_YEAR_DPL94_FIT_R1 = 1994
>>>>>>>  MODEL_EXP_TYPE_DPL94_FIT_R1 = EXP_TYPE_R1RHO
>>>>>>>  MODEL_SITES_DPL94_FIT_R1 = 2
>>>>>>> +MODEL_EQ_DPL94_FIT_R1 = EQ_ANALYTIC
>>>>>>>
>>>>>>>  MODEL_TP02 = 'TP02'
>>>>>>>  MODEL_DESC_TP02 = "The Trott and Palmer (2002) off-resonance 2-site 
>>>>>>> model for R1rho-type experiments."
>>>>>>> @@ -184,6 +206,7 @@
>>>>>>>  MODEL_YEAR_TP02 = 2002
>>>>>>>  MODEL_EXP_TYPE_TP02 = EXP_TYPE_R1RHO
>>>>>>>  MODEL_SITES_TP02 = 2
>>>>>>> +MODEL_EQ_TP02 = EQ_ANALYTIC
>>>>>>>
>>>>>>>  MODEL_TP02_FIT_R1 = "%s_fit_r1"%MODEL_TP02
>>>>>>>  MODEL_DESC_TP02_FIT_R1 = "The Trott and Palmer (2002) off-resonance 
>>>>>>> 2-site model for R1rho-type experiments, where R1 is fitted."
>>>>>>> @@ -191,6 +214,7 @@
>>>>>>>  MODEL_YEAR_TP02_FIT_R1 = 2002
>>>>>>>  MODEL_EXP_TYPE_TP02_FIT_R1 = EXP_TYPE_R1RHO
>>>>>>>  MODEL_SITES_TP02_FIT_R1 = 2
>>>>>>> +MODEL_EQ_TP02_FIT_R1 = EQ_ANALYTIC
>>>>>>>
>>>>>>>  MODEL_TAP03 = 'TAP03'
>>>>>>>  MODEL_DESC_TAP03 = "The Trott, Abergel and Palmer (2003) off-resonance 
>>>>>>> 2-site model for R1rho-type experiments."
>>>>>>> @@ -198,6 +222,7 @@
>>>>>>>  MODEL_YEAR_TAP03 = 2003
>>>>>>>  MODEL_EXP_TYPE_TAP03 = EXP_TYPE_R1RHO
>>>>>>>  MODEL_SITES_TAP03 = 2
>>>>>>> +MODEL_EQ_TAP03 = EQ_ANALYTIC
>>>>>>>
>>>>>>>  MODEL_TAP03_FIT_R1 = "%s_fit_r1"%MODEL_TAP03
>>>>>>>  MODEL_DESC_TAP03_FIT_R1 = "The Trott, Abergel and Palmer (2003) 
>>>>>>> off-resonance 2-site model for R1rho-type experiments, where R1 is 
>>>>>>> fitted."
>>>>>>> @@ -205,6 +230,7 @@
>>>>>>>  MODEL_YEAR_TAP03_FIT_R1 = 2003
>>>>>>>  MODEL_EXP_TYPE_TAP03_FIT_R1 = EXP_TYPE_R1RHO
>>>>>>>  MODEL_SITES_TAP03_FIT_R1 = 2
>>>>>>> +MODEL_EQ_TAP03_FIT_R1 = EQ_ANALYTIC
>>>>>>>
>>>>>>>  MODEL_MP05 = 'MP05'
>>>>>>>  """The R1rho 2-site off-resonance exchange model of Miloushev and 
>>>>>>> Palmer (2005)."""
>>>>>>> @@ -213,6 +239,7 @@
>>>>>>>  MODEL_YEAR_MP05 = 2005
>>>>>>>  MODEL_EXP_TYPE_MP05 = EXP_TYPE_R1RHO
>>>>>>>  MODEL_SITES_MP05 = 2
>>>>>>> +MODEL_EQ_MP05 = EQ_ANALYTIC
>>>>>>>
>>>>>>>  MODEL_MP05_FIT_R1 = "%s_fit_r1"%MODEL_MP05
>>>>>>>  """The R1rho 2-site off-resonance exchange model of Miloushev and 
>>>>>>> Palmer (2005)."""
>>>>>>> @@ -221,6 +248,7 @@
>>>>>>>  MODEL_YEAR_MP05_FIT_R1 = 2005
>>>>>>>  MODEL_EXP_TYPE_MP05_FIT_R1 = EXP_TYPE_R1RHO
>>>>>>>  MODEL_SITES_MP05_FIT_R1 = 2
>>>>>>> +MODEL_EQ_MP05_FIT_R1 = EQ_ANALYTIC
>>>>>>>
>>>>>>>
>>>>>>>  # The Numerical model names.
>>>>>>> @@ -230,6 +258,7 @@
>>>>>>>  MODEL_YEAR_NS_CPMG_2SITE_3D = 2004
>>>>>>>  MODEL_EXP_TYPE_NS_CPMG_2SITE_3D = EXP_TYPE_CPMG_SQ
>>>>>>>  MODEL_SITES_NS_CPMG_2SITE_3D = 2
>>>>>>> +MODEL_EQ_NS_CPMG_2SITE_3D = EQ_NUMERIC
>>>>>>>
>>>>>>>  MODEL_NS_CPMG_2SITE_3D_FULL = 'NS CPMG 2-site 3D full'
>>>>>>>  MODEL_DESC_NS_CPMG_2SITE_3D_FULL = "The full numerical solution for 
>>>>>>> the 2-site Bloch-McConnell equations using 3D magnetisation vectors for 
>>>>>>> SQ CPMG experiments."
>>>>>>> @@ -237,6 +266,7 @@
>>>>>>>  MODEL_YEAR_NS_CPMG_2SITE_3D_FULL = 2004
>>>>>>>  MODEL_EXP_TYPE_NS_CPMG_2SITE_3D_FULL = EXP_TYPE_CPMG_SQ
>>>>>>>  MODEL_SITES_NS_CPMG_2SITE_3D_FULL = 2
>>>>>>> +MODEL_EQ_NS_CPMG_2SITE_3D_FULL = EQ_NUMERIC
>>>>>>>
>>>>>>>  MODEL_NS_CPMG_2SITE_STAR = 'NS CPMG 2-site star'
>>>>>>>  MODEL_DESC_NS_CPMG_2SITE_STAR = "The numerical reduced solution for 
>>>>>>> the 2-site Bloch-McConnell equations using complex conjugate matrices 
>>>>>>> for SQ CPMG experiments, whereby the simplification R20A = R20B is 
>>>>>>> assumed."
>>>>>>> @@ -244,6 +274,7 @@
>>>>>>>  MODEL_YEAR_NS_CPMG_2SITE_STAR = 2004
>>>>>>>  MODEL_EXP_TYPE_NS_CPMG_2SITE_STAR = EXP_TYPE_CPMG_SQ
>>>>>>>  MODEL_SITES_NS_CPMG_2SITE_STAR = 2
>>>>>>> +MODEL_EQ_NS_CPMG_2SITE_STAR = EQ_NUMERIC
>>>>>>>
>>>>>>>  MODEL_NS_CPMG_2SITE_STAR_FULL = 'NS CPMG 2-site star full'
>>>>>>>  MODEL_DESC_NS_CPMG_2SITE_STAR_FULL = "The full numerical solution for 
>>>>>>> the 2-site Bloch-McConnell equations using complex conjugate matrices 
>>>>>>> for SQ CPMG experiments."
>>>>>>> @@ -251,6 +282,7 @@
>>>>>>>  MODEL_YEAR_NS_CPMG_2SITE_STAR_FULL = 2004
>>>>>>>  MODEL_EXP_TYPE_NS_CPMG_2SITE_STAR_FULL = EXP_TYPE_CPMG_SQ
>>>>>>>  MODEL_SITES_NS_CPMG_2SITE_STAR_FULL = 2
>>>>>>> +MODEL_EQ_NS_CPMG_2SITE_STAR_FULL = EQ_NUMERIC
>>>>>>>
>>>>>>>  MODEL_NS_CPMG_2SITE_EXPANDED = 'NS CPMG 2-site expanded'
>>>>>>>  MODEL_DESC_NS_CPMG_2SITE_EXPANDED = "The numerical solution for the 
>>>>>>> 2-site Bloch-McConnell equations for SQ CPMG experiments, expanded 
>>>>>>> using Maple by Nikolai Skrynnikov."
>>>>>>> @@ -258,6 +290,7 @@
>>>>>>>  MODEL_YEAR_NS_CPMG_2SITE_EXPANDED = 2001
>>>>>>>  MODEL_EXP_TYPE_NS_CPMG_2SITE_EXPANDED = EXP_TYPE_CPMG_SQ
>>>>>>>  MODEL_SITES_NS_CPMG_2SITE_EXPANDED = 2
>>>>>>> +MODEL_EQ_NS_CPMG_2SITE_EXPANDED = EQ_SILICO
>>>>>>>
>>>>>>>  MODEL_NS_R1RHO_2SITE = 'NS R1rho 2-site'
>>>>>>>  MODEL_DESC_NS_R1RHO_2SITE = "The reduced numerical solution for the 
>>>>>>> 2-site Bloch-McConnell equations using 3D magnetisation vectors for 
>>>>>>> R1rho-type experiments, whereby the simplification R20A = R20B is 
>>>>>>> assumed."
>>>>>>> @@ -265,6 +298,7 @@
>>>>>>>  MODEL_YEAR_NS_R1RHO_2SITE = 2005
>>>>>>>  MODEL_EXP_TYPE_NS_R1RHO_2SITE = EXP_TYPE_R1RHO
>>>>>>>  MODEL_SITES_NS_R1RHO_2SITE = 2
>>>>>>> +MODEL_EQ_NS_R1RHO_2SITE = EQ_NUMERIC
>>>>>>>
>>>>>>>  MODEL_NS_R1RHO_2SITE_FIT_R1 = "%s_fit_r1"%MODEL_NS_R1RHO_2SITE
>>>>>>>  MODEL_DESC_NS_R1RHO_2SITE_FIT_R1 = "The reduced numerical solution for 
>>>>>>> the 2-site Bloch-McConnell equations using 3D magnetisation vectors for 
>>>>>>> R1rho-type experiments, whereby the simplification R20A = R20B is 
>>>>>>> assumed, and where R1 is fitted."
>>>>>>> @@ -272,6 +306,7 @@
>>>>>>>  MODEL_YEAR_NS_R1RHO_2SITE_FIT_R1 = 2005
>>>>>>>  MODEL_EXP_TYPE_NS_R1RHO_2SITE_FIT_R1 = EXP_TYPE_R1RHO
>>>>>>>  MODEL_SITES_NS_R1RHO_2SITE_FIT_R1 = 2
>>>>>>> +MODEL_EQ_NS_R1RHO_2SITE_FIT_R1 = EQ_NUMERIC
>>>>>>>
>>>>>>>  MODEL_NS_R1RHO_3SITE = 'NS R1rho 3-site'
>>>>>>>  MODEL_DESC_NS_R1RHO_3SITE = "The numerical solution for the 3-site 
>>>>>>> Bloch-McConnell equations using 3D magnetisation vectors for R1rho-type 
>>>>>>> experiments, whereby the simplification R20A = R20B = R20C is assumed."
>>>>>>> @@ -279,6 +314,7 @@
>>>>>>>  MODEL_YEAR_NS_R1RHO_3SITE = 2005
>>>>>>>  MODEL_EXP_TYPE_NS_R1RHO_3SITE = EXP_TYPE_R1RHO
>>>>>>>  MODEL_SITES_NS_R1RHO_3SITE = 3
>>>>>>> +MODEL_EQ_NS_R1RHO_3SITE = EQ_NUMERIC
>>>>>>>
>>>>>>>  MODEL_NS_R1RHO_3SITE_LINEAR = 'NS R1rho 3-site linear'
>>>>>>>  MODEL_DESC_NS_R1RHO_3SITE_LINEAR = "The numerical solution for the 
>>>>>>> 3-site Bloch-McConnell equations using 3D magnetisation vectors for 
>>>>>>> R1rho-type experiments, linearised with kAC = kCA = 0 and whereby the 
>>>>>>> simplification R20A = R20B = R20C is assumed."
>>>>>>> @@ -286,6 +322,7 @@
>>>>>>>  MODEL_YEAR_NS_R1RHO_3SITE_LINEAR = 2005
>>>>>>>  MODEL_EXP_TYPE_NS_R1RHO_3SITE_LINEAR = EXP_TYPE_R1RHO
>>>>>>>  MODEL_SITES_NS_R1RHO_3SITE_LINEAR = 3
>>>>>>> +MODEL_EQ_NS_R1RHO_3SITE_LINEAR = EQ_NUMERIC
>>>>>>>
>>>>>>>  # The multi-quantum data model names.
>>>>>>>  MODEL_MMQ_CR72 = 'MMQ CR72'
>>>>>>> @@ -294,6 +331,7 @@
>>>>>>>  MODEL_YEAR_MMQ_CR72 = 2004
>>>>>>>  MODEL_EXP_TYPE_MMQ_CR72 = EXP_TYPE_CPMG_MMQ
>>>>>>>  MODEL_SITES_MMQ_CR72 = 2
>>>>>>> +MODEL_EQ_MMQ_CR72 = EQ_ANALYTIC
>>>>>>>
>>>>>>>  MODEL_NS_MMQ_2SITE = 'NS MMQ 2-site'
>>>>>>>  MODEL_DESC_NS_MMQ_2SITE = "The reduced numerical solution for the 
>>>>>>> 2-site Bloch-McConnell equations for MMQ CPMG experiments, whereby the 
>>>>>>> simplification R20A = R20B is assumed."
>>>>>>> @@ -301,6 +339,7 @@
>>>>>>>  MODEL_YEAR_NS_MMQ_2SITE = 2005
>>>>>>>  MODEL_EXP_TYPE_NS_MMQ_2SITE = EXP_TYPE_CPMG_MMQ
>>>>>>>  MODEL_SITES_NS_MMQ_2SITE = 2
>>>>>>> +MODEL_EQ_NS_MMQ_2SITE = EQ_NUMERIC
>>>>>>>
>>>>>>>  MODEL_NS_MMQ_3SITE = 'NS MMQ 3-site'
>>>>>>>  MODEL_DESC_NS_MMQ_3SITE = "The numerical solution for the 3-site 
>>>>>>> Bloch-McConnell equations for MMQ CPMG experiments, whereby the 
>>>>>>> simplification R20A = R20B = R20C is assumed."
>>>>>>> @@ -308,6 +347,7 @@
>>>>>>>  MODEL_YEAR_NS_MMQ_3SITE = 2005
>>>>>>>  MODEL_EXP_TYPE_NS_MMQ_3SITE = EXP_TYPE_CPMG_MMQ
>>>>>>>  MODEL_SITES_NS_MMQ_3SITE = 3
>>>>>>> +MODEL_EQ_NS_MMQ_3SITE = EQ_NUMERIC
>>>>>>>
>>>>>>>  MODEL_NS_MMQ_3SITE_LINEAR = 'NS MMQ 3-site linear'
>>>>>>>  MODEL_DESC_NS_MMQ_3SITE_LINEAR = "The numerical solution for the 
>>>>>>> 3-site Bloch-McConnell equations for MMQ CPMG experiments, linearised 
>>>>>>> with kAC = kCA = 0 and whereby the simplification R20A = R20B = R20C is 
>>>>>>> assumed."
>>>>>>> @@ -315,6 +355,7 @@
>>>>>>>  MODEL_YEAR_NS_MMQ_3SITE_LINEAR = 2005
>>>>>>>  MODEL_EXP_TYPE_NS_MMQ_3SITE_LINEAR = EXP_TYPE_CPMG_MMQ
>>>>>>>  MODEL_SITES_NS_MMQ_3SITE_LINEAR = 3
>>>>>>> +MODEL_EQ_NS_MMQ_3SITE_LINEAR = EQ_NUMERIC
>>>>>>>
>>>>>>>  # The parameters.
>>>>>>>  PARAMS_R20 = ['r2', 'r2a', 'r2b']
>>>>>>> @@ -650,4 +691,43 @@
>>>>>>>      MODEL_NS_MMQ_2SITE: MODEL_SITES_NS_MMQ_2SITE,
>>>>>>>      MODEL_NS_MMQ_3SITE: MODEL_SITES_NS_MMQ_3SITE,
>>>>>>>      MODEL_NS_MMQ_3SITE_LINEAR: MODEL_SITES_NS_MMQ_3SITE_LINEAR
>>>>>>> +}
>>>>>>> +
>>>>>>> +# Full list of equation type.
>>>>>>> +MODEL_EQ = {
>>>>>>> +    MODEL_R2EFF: MODEL_EQ_R2EFF,
>>>>>>> +    MODEL_NOREX: MODEL_EQ_NOREX,
>>>>>>> +    MODEL_NOREX_R1RHO: MODEL_EQ_NOREX_R1RHO,
>>>>>>> +    MODEL_NOREX_R1RHO_FIT_R1: MODEL_EQ_NOREX_R1RHO_FIT_R1,
>>>>>>> +    MODEL_LM63: MODEL_EQ_LM63,
>>>>>>> +    MODEL_LM63_3SITE: MODEL_EQ_LM63_3SITE,
>>>>>>> +    MODEL_CR72: MODEL_EQ_CR72,
>>>>>>> +    MODEL_CR72_FULL: MODEL_EQ_CR72_FULL,
>>>>>>> +    MODEL_IT99: MODEL_EQ_IT99,
>>>>>>> +    MODEL_TSMFK01: MODEL_EQ_TSMFK01,
>>>>>>> +    MODEL_B14: MODEL_EQ_B14,
>>>>>>> +    MODEL_B14_FULL: MODEL_EQ_B14_FULL,
>>>>>>> +    MODEL_M61: MODEL_EQ_M61,
>>>>>>> +    MODEL_M61B: MODEL_EQ_M61B,
>>>>>>> +    MODEL_DPL94: MODEL_EQ_DPL94,
>>>>>>> +    MODEL_DPL94_FIT_R1: MODEL_EQ_DPL94_FIT_R1,
>>>>>>> +    MODEL_TP02: MODEL_EQ_TP02,
>>>>>>> +    MODEL_TP02_FIT_R1: MODEL_EQ_TP02_FIT_R1,
>>>>>>> +    MODEL_TAP03: MODEL_EQ_TAP03,
>>>>>>> +    MODEL_TAP03_FIT_R1: MODEL_EQ_TAP03_FIT_R1,
>>>>>>> +    MODEL_MP05: MODEL_EQ_MP05,
>>>>>>> +    MODEL_MP05_FIT_R1: MODEL_EQ_MP05_FIT_R1,
>>>>>>> +    MODEL_NS_CPMG_2SITE_3D: MODEL_EQ_NS_CPMG_2SITE_3D,
>>>>>>> +    MODEL_NS_CPMG_2SITE_3D_FULL: MODEL_EQ_NS_CPMG_2SITE_3D_FULL,
>>>>>>> +    MODEL_NS_CPMG_2SITE_STAR: MODEL_EQ_NS_CPMG_2SITE_STAR,
>>>>>>> +    MODEL_NS_CPMG_2SITE_STAR_FULL: MODEL_EQ_NS_CPMG_2SITE_STAR_FULL,
>>>>>>> +    MODEL_NS_CPMG_2SITE_EXPANDED: MODEL_EQ_NS_CPMG_2SITE_EXPANDED,
>>>>>>> +    MODEL_NS_R1RHO_2SITE: MODEL_EQ_NS_R1RHO_2SITE,
>>>>>>> +    MODEL_NS_R1RHO_2SITE_FIT_R1: MODEL_EQ_NS_R1RHO_2SITE_FIT_R1,
>>>>>>> +    MODEL_NS_R1RHO_3SITE: MODEL_EQ_NS_R1RHO_3SITE,
>>>>>>> +    MODEL_NS_R1RHO_3SITE_LINEAR: MODEL_EQ_NS_R1RHO_3SITE_LINEAR,
>>>>>>> +    MODEL_MMQ_CR72: MODEL_EQ_MMQ_CR72,
>>>>>>> +    MODEL_NS_MMQ_2SITE: MODEL_EQ_NS_MMQ_2SITE,
>>>>>>> +    MODEL_NS_MMQ_3SITE: MODEL_EQ_NS_MMQ_3SITE,
>>>>>>> +    MODEL_NS_MMQ_3SITE_LINEAR: MODEL_EQ_NS_MMQ_3SITE_LINEAR
>>>>>>>  }
>>>>>>>
>>>>>>> Modified: 
>>>>>>> branches/R1_fitting/test_suite/unit_tests/_specific_analyses/_relax_disp/test_variables.py
>>>>>>> URL: 
>>>>>>> http://svn.gna.org/viewcvs/relax/branches/R1_fitting/test_suite/unit_tests/_specific_analyses/_relax_disp/test_variables.py?rev=24983&r1=24982&r2=24983&view=diff
>>>>>>> ==============================================================================
>>>>>>> --- 
>>>>>>> branches/R1_fitting/test_suite/unit_tests/_specific_analyses/_relax_disp/test_variables.py
>>>>>>>   (original)
>>>>>>> +++ 
>>>>>>> branches/R1_fitting/test_suite/unit_tests/_specific_analyses/_relax_disp/test_variables.py
>>>>>>>   Tue Aug 12 10:54:36 2014
>>>>>>> @@ -20,8 +20,8 @@
>>>>>>>  
>>>>>>> ###############################################################################
>>>>>>>
>>>>>>>  # relax module imports.
>>>>>>> -from specific_analyses.relax_disp.variables import MODEL_CR72, 
>>>>>>> MODEL_MMQ_CR72, MODEL_NS_R1RHO_3SITE
>>>>>>> -from specific_analyses.relax_disp.variables import MODEL_EXP_TYPE, 
>>>>>>> MODEL_PARAMS, MODEL_SITES, MODEL_YEAR
>>>>>>> +from specific_analyses.relax_disp.variables import MODEL_CR72, 
>>>>>>> MODEL_MMQ_CR72, MODEL_NS_CPMG_2SITE_EXPANDED, MODEL_NS_R1RHO_3SITE
>>>>>>> +from specific_analyses.relax_disp.variables import MODEL_EXP_TYPE, 
>>>>>>> MODEL_EQ, MODEL_PARAMS, MODEL_SITES, MODEL_YEAR
>>>>>>>  from test_suite.unit_tests.base_classes import UnitTestCase
>>>>>>>
>>>>>>>
>>>>>>> @@ -67,3 +67,13 @@
>>>>>>>
>>>>>>>          # Test the return.
>>>>>>>          self.assertEqual(model_sites, 3)
>>>>>>> +
>>>>>>> +
>>>>>>> +    def test_MODEL_EQ(self):
>>>>>>> +        """Unit test of the MODEL_EQ dictionary."""
>>>>>>> +
>>>>>>> +        # Test model equation type return from model equation 
>>>>>>> dictionary.
>>>>>>> +        model_eq = MODEL_EQ[MODEL_NS_CPMG_2SITE_EXPANDED]
>>>>>>> +
>>>>>>> +        # Test the return.
>>>>>>> +        self.assertEqual(model_eq, 'silico')
>>>>>>>
>>>>>>>
>>>>>>> _______________________________________________
>>>>>>> relax (http://www.nmr-relax.com)
>>>>>>>
>>>>>>> This is the relax-commits mailing list
>>>>>>> relax-comm...@gna.org
>>>>>>>
>>>>>>> To unsubscribe from this list, get a password
>>>>>>> reminder, or change your subscription options,
>>>>>>> visit the list information page at
>>>>>>> https://mail.gna.org/listinfo/relax-commits
>>>>
>>>> _______________________________________________
>>>> relax (http://www.nmr-relax.com)
>>>>
>>>> This is the relax-devel mailing list
>>>> relax-devel@gna.org
>>>>
>>>> To unsubscribe from this list, get a password
>>>> reminder, or change your subscription options,
>>>> visit the list information page at
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