If I change model_create to 'NS CPMG 2-site 3D',  I works.

But it seems, that any converted model fails?


2014-06-13 18:03 GMT+02:00 Troels Emtekær Linnet <[email protected]>:

> Looking at output, I get:
>
> This means that all calculated R2eff is 1.0 ???
>
> relax> relax_disp.r2eff_read_spin(id='CPMG_599.9', spin_id=':1@N',
> file='CPMG_599.9_1_N.txt',
> dir='/var/folders/ww/1jkhkh315x57jglgxnr9g24w0000gp/T/tmpVtMOA1',
> disp_point_col=1, offset_col=None, data_col=2, error_col=3, sep=None)
> Opening the file
> '/var/folders/ww/1jkhkh315x57jglgxnr9g24w0000gp/T/tmpVtMOA1/CPMG_599.9_1_N.txt'
> for reading.
> The following R2eff/R1rho data has been loaded into the relax data store:
>
> # R2eff_key                                 Disp_point              R2eff
>                   R2eff_error
> sq_cpmg_599.89086170_0.000_33.333             33.333333333333336
> 1.000000000000000       0.100000000000000
> sq_cpmg_599.89086170_0.000_66.667             66.666666666666671
> 1.000000000000000       0.100000000000000
> sq_cpmg_599.89086170_0.000_133.333           133.333333333333343
> 1.000000000000000       0.100000000000000
> sq_cpmg_599.89086170_0.000_166.667           166.666666666666686
> 1.000000000000000       0.100000000000000
> sq_cpmg_599.89086170_0.000_333.333           333.333333333333371
> 1.000000000000000       0.100000000000000
> sq_cpmg_599.89086170_0.000_500.000           500.000000000000000
> 1.000000000000000       0.100000000000000
> sq_cpmg_599.89086170_0.000_666.667           666.666666666666742
> 1.000000000000000       0.100000000000000
> sq_cpmg_599.89086170_0.000_1000.000         1000.000000000000000
> 1.000000000000000       0.100000000000000
> Opening the file
> '/var/folders/ww/1jkhkh315x57jglgxnr9g24w0000gp/T/tmpVtMOA1/CPMG_499.9_1_N.txt'
> for writing.
>
> relax> relax_disp.r2eff_read_spin(id='CPMG_499.9', spin_id=':1@N',
> file='CPMG_499.9_1_N.txt',
> dir='/var/folders/ww/1jkhkh315x57jglgxnr9g24w0000gp/T/tmpVtMOA1',
> disp_point_col=1, offset_col=None, data_col=2, error_col=3, sep=None)
> Opening the file
> '/var/folders/ww/1jkhkh315x57jglgxnr9g24w0000gp/T/tmpVtMOA1/CPMG_499.9_1_N.txt'
> for reading.
> The following R2eff/R1rho data has been loaded into the relax data store:
>
> # R2eff_key                                 Disp_point              R2eff
>                   R2eff_error
> sq_cpmg_499.89086170_0.000_40.000             40.000000000000000
> 1.000000000000000       0.100000000000000
> sq_cpmg_499.89086170_0.000_80.000             80.000000000000000
> 1.000000000000000       0.100000000000000
> sq_cpmg_499.89086170_0.000_160.000           160.000000000000000
> 1.000000000000000       0.100000000000000
> sq_cpmg_499.89086170_0.000_200.000           200.000000000000000
> 1.000000000000000       0.100000000000000
> sq_cpmg_499.89086170_0.000_600.000           600.000000000000000
> 1.000000000000000       0.100000000000000
> sq_cpmg_499.89086170_0.000_700.000           700.000000000000000
> 1.000000000000000       0.100000000000000
> sq_cpmg_499.89086170_0.000_800.000           800.000000000000000
> 1.000000000000000       0.100000000000000
> sq_cpmg_499.89086170_0.000_1000.000         1000.000000000000000
> 1.000000000000000       0.100000000000000
> Generating data with MODEL:CR72, for spin id::1@N
> Opening the file
> '/var/folders/ww/1jkhkh315x57jglgxnr9g24w0000gp/T/tmpVtMOA1/CPMG_599.9_1_N.txt'
> for writing.
>
> relax> relax_disp.r2eff_read_spin(id='CPMG_599.9', spin_id=':1@N',
> file='CPMG_599.9_1_N.txt',
> dir='/var/folders/ww/1jkhkh315x57jglgxnr9g24w0000gp/T/tmpVtMOA1',
> disp_point_col=1, offset_col=None, data_col=2, error_col=3, sep=None)
> Opening the file
> '/var/folders/ww/1jkhkh315x57jglgxnr9g24w0000gp/T/tmpVtMOA1/CPMG_599.9_1_N.txt'
> for reading.
> The following R2eff/R1rho data has been loaded into the relax data store:
>
> # R2eff_key                                 Disp_point              R2eff
>                   R2eff_error
> sq_cpmg_599.89086170_0.000_33.333             33.333333333333336
> 1.000000000000000       0.100000000000000
> sq_cpmg_599.89086170_0.000_66.667             66.666666666666671
> 1.000000000000000       0.100000000000000
> sq_cpmg_599.89086170_0.000_133.333           133.333333333333343
> 1.000000000000000       0.100000000000000
> sq_cpmg_599.89086170_0.000_166.667           166.666666666666686
> 1.000000000000000       0.100000000000000
> sq_cpmg_599.89086170_0.000_333.333           333.333333333333371
> 1.000000000000000       0.100000000000000
> sq_cpmg_599.89086170_0.000_500.000           500.000000000000000
> 1.000000000000000       0.100000000000000
> sq_cpmg_599.89086170_0.000_666.667           666.666666666666742
> 1.000000000000000       0.100000000000000
> sq_cpmg_599.89086170_0.000_1000.000         1000.000000000000000
> 1.000000000000000       0.100000000000000
> Generating data with MODEL:CR72, for spin id::1@N
> Opening the file
> '/var/folders/ww/1jkhkh315x57jglgxnr9g24w0000gp/T/tmpVtMOA1/CPMG_499.9_1_N.txt'
> for writing.
>
> relax> relax_disp.r2eff_read_spin(id='CPMG_499.9', spin_id=':1@N',
> file='CPMG_499.9_1_N.txt',
> dir='/var/folders/ww/1jkhkh315x57jglgxnr9g24w0000gp/T/tmpVtMOA1',
> disp_point_col=1, offset_col=None, data_col=2, error_col=3, sep=None)
> Opening the file
> '/var/folders/ww/1jkhkh315x57jglgxnr9g24w0000gp/T/tmpVtMOA1/CPMG_499.9_1_N.txt'
> for reading.
> The following R2eff/R1rho data has been loaded into the relax data store:
>
> # R2eff_key                                 Disp_point              R2eff
>                   R2eff_error
> sq_cpmg_499.89086170_0.000_40.000             40.000000000000000
> 1.000000000000000       0.100000000000000
> sq_cpmg_499.89086170_0.000_80.000             80.000000000000000
> 1.000000000000000       0.100000000000000
> sq_cpmg_499.89086170_0.000_160.000           160.000000000000000
> 1.000000000000000       0.100000000000000
> sq_cpmg_499.89086170_0.000_200.000           200.000000000000000
> 1.000000000000000       0.100000000000000
> sq_cpmg_499.89086170_0.000_600.000           600.000000000000000
> 1.000000000000000       0.100000000000000
> sq_cpmg_499.89086170_0.000_700.000           700.000000000000000
> 1.000000000000000       0.100000000000000
> sq_cpmg_499.89086170_0.000_800.000           800.000000000000000
> 1.000000000000000       0.100000000000000
>
>
>
> 2014-06-13 17:54 GMT+02:00 Troels Emtekær Linnet <[email protected]>:
>
> Or in:
>> r2effs = optimisation.back_calc_r2eff(spin=cur_spin, spin_id=cur_spin_id)
>>
>>
>> 2014-06-13 17:52 GMT+02:00 Troels Emtekær Linnet <[email protected]>:
>>
>> Hi Ed.
>>>
>>> I think I have broken something somewhere?
>>>
>>> It must be something with:
>>> specific_analyses.relax_disp.data
>>> loop_offset_point
>>>
>>> Best
>>> Troels
>>>
>>>
>>> ---------- Forwarded message ----------
>>> From: <[email protected]>
>>> Date: 2014-06-13 17:31 GMT+02:00
>>> Subject: r23942 -
>>> /branches/disp_spin_speed/target_functions/relax_disp.py
>>> To: [email protected]
>>>
>>>
>>> Author: tlinnet
>>> Date: Fri Jun 13 17:31:40 2014
>>> New Revision: 23942
>>>
>>> URL: http://svn.gna.org/viewcvs/relax?rev=23942&view=rev
>>> Log:
>>> Replaced target function for model ns_cpmg_2site_expanded, to use higher
>>> dimensional numpy array structures.
>>>
>>> That makes the model much faster.
>>>
>>> I cannot get system test: Relax_disp.test_cpmg_synthetic_dx_map_points
>>> to pass.
>>>
>>> -------
>>>   File
>>> "/Users/tlinnet/software/disp_spin_speed/test_suite/system_tests/relax_disp.py",
>>> line 1671, in test_cpmg_synthetic_dx_map_points
>>>     self.assertEqual(res_file[i], lines[i])
>>> AssertionError: '0.76981        3.9169         0.41353        1\n' !=
>>> '0.0098838      1.4654         18.661         1\n'
>>> -------
>>>
>>> Task #7807 (https://gna.org/task/index.php?7807): Speed-up of
>>> dispersion models for Clustered analysis.
>>>
>>> Modified:
>>>     branches/disp_spin_speed/target_functions/relax_disp.py
>>>
>>> Modified: branches/disp_spin_speed/target_functions/relax_disp.py
>>> URL:
>>> http://svn.gna.org/viewcvs/relax/branches/disp_spin_speed/target_functions/relax_disp.py?rev=23942&r1=23941&r2=23942&view=diff
>>>
>>> ==============================================================================
>>> --- branches/disp_spin_speed/target_functions/relax_disp.py
>>> (original)
>>> +++ branches/disp_spin_speed/target_functions/relax_disp.py     Fri Jun
>>> 13 17:31:40 2014
>>> @@ -396,7 +396,7 @@
>>>
>>>
>>>          # Setup special numpy array structures, for higher dimensional
>>> computation.
>>> -        test_models = [MODEL_B14, MODEL_B14_FULL, MODEL_CR72,
>>> MODEL_CR72_FULL, MODEL_DPL94, MODEL_IT99, MODEL_LM63, MODEL_M61,
>>> MODEL_M61B, MODEL_MP05, MODEL_TAP03, MODEL_TP02, MODEL_TSMFK01]
>>> +        test_models = [MODEL_B14, MODEL_B14_FULL, MODEL_CR72,
>>> MODEL_CR72_FULL, MODEL_DPL94, MODEL_IT99, MODEL_LM63, MODEL_M61,
>>> MODEL_M61B, MODEL_MP05, MODEL_NS_CPMG_2SITE_EXPANDED, MODEL_TAP03,
>>> MODEL_TP02, MODEL_TSMFK01]
>>>
>>>          if model in test_models + [MODEL_NOREX]:
>>>              # Get the shape of back_calc structure.
>>> @@ -457,10 +457,10 @@
>>>                  self.phi_ex_struct = deepcopy(zeros_a)
>>>
>>>              if model in [MODEL_B14, MODEL_B14_FULL, MODEL_MMQ_CR72,
>>> MODEL_NS_CPMG_2SITE_3D, MODEL_NS_CPMG_2SITE_3D_FULL,
>>> MODEL_NS_CPMG_2SITE_EXPANDED, MODEL_NS_CPMG_2SITE_STAR,
>>> MODEL_NS_CPMG_2SITE_STAR_FULL, MODEL_NS_MMQ_2SITE, MODEL_NS_MMQ_3SITE,
>>> MODEL_NS_MMQ_3SITE_LINEAR, MODEL_TSMFK01, MODEL_NS_R1RHO_2SITE,
>>> MODEL_NS_R1RHO_3SITE, MODEL_NS_R1RHO_3SITE_LINEAR]:
>>> -                # Expand relax times.
>>> -                self.inv_relax_times_a = 1.0 / multiply.outer(
>>> tile(self.relax_times[:,None],(1, 1, self.NS)).reshape(self.NE, self.NS,
>>> self.NM), self.no_nd_struct )
>>> -                self.power_a = ones(self.numpy_array_shape, int16)
>>> +                self.relax_times_a = deepcopy(zeros_a)
>>> +                self.inv_relax_times_a = deepcopy(zeros_a)
>>>                  self.tau_cpmg_a = deepcopy(zeros_a)
>>> +                self.power_a = zeros(self.numpy_array_shape, int16)
>>>
>>>              # For R1rho data.
>>>              if model in MODEL_LIST_R1RHO_FULL:
>>> @@ -501,8 +501,13 @@
>>>                                      self.has_missing = True
>>>                                      missing_a[ei][si][mi][oi][di] = 1.0
>>>                                  if model in [MODEL_B14, MODEL_B14_FULL,
>>> MODEL_MMQ_CR72, MODEL_NS_CPMG_2SITE_3D, MODEL_NS_CPMG_2SITE_3D_FULL,
>>> MODEL_NS_CPMG_2SITE_EXPANDED, MODEL_NS_CPMG_2SITE_STAR,
>>> MODEL_NS_CPMG_2SITE_STAR_FULL, MODEL_NS_MMQ_2SITE, MODEL_NS_MMQ_3SITE,
>>> MODEL_NS_MMQ_3SITE_LINEAR, MODEL_TSMFK01, MODEL_NS_R1RHO_2SITE,
>>> MODEL_NS_R1RHO_3SITE, MODEL_NS_R1RHO_3SITE_LINEAR]:
>>> -                                    self.power_a[ei][si][mi][oi][di] =
>>> int(round(self.cpmg_frqs[ei][mi][0][di] * self.relax_times[ei][mi]))
>>> -                                    self.tau_cpmg_a[ei][si][mi][oi][di]
>>> = 0.25 / self.cpmg_frqs[ei][mi][0][di]
>>> +
>>>  self.relax_times_a[ei][si][mi][oi][di] = self.relax_times[ei][mi]
>>> +                                    self.tau_cpmg_a[ei][si][mi][oi][di]
>>> = self.tau_cpmg[ei][mi][di]
>>> +                                    self.power_a[ei][si][mi][oi][di] =
>>> self.power[ei][mi][di]
>>> +
>>> +                                    if model != MODEL_TSMFK01:
>>> +
>>>  self.inv_relax_times_a[ei][si][mi][oi][di] = self.inv_relax_times[ei][mi]
>>> +
>>>                                  # For R1rho data.
>>>                                  if model in MODEL_LIST_R1RHO_FULL and
>>> model != MODEL_NOREX:
>>>
>>>  self.disp_struct[ei][si][mi][oi][di] = 1.0
>>> @@ -1500,37 +1505,25 @@
>>>          pA = params[self.end_index[1]]
>>>          kex = params[self.end_index[1]+1]
>>>
>>> -        # Once off parameter conversions.
>>> -        pB = 1.0 - pA
>>> -        k_BA = pA * kex
>>> -        k_AB = pB * kex
>>> -
>>> -        # Chi-squared initialisation.
>>> -        chi2_sum = 0.0
>>> -
>>> -        # Loop over the spins.
>>> -        for si in range(self.num_spins):
>>> -            # Loop over the spectrometer frequencies.
>>> -            for mi in range(self.num_frq):
>>> -                # The R20 index.
>>> -                r20_index = mi + si*self.num_frq
>>> -
>>> -                # Convert dw from ppm to rad/s.
>>> -                dw_frq = dw[si] * self.frqs[0][si][mi]
>>> -
>>> -                # Back calculate the R2eff values.
>>> -                r2eff_ns_cpmg_2site_expanded(r20=R20[r20_index], pA=pA,
>>> dw=dw_frq, k_AB=k_AB, k_BA=k_BA, relax_time=self.relax_times[0][mi],
>>> inv_relax_time=self.inv_relax_times[0][mi], tcp=self.tau_cpmg[0][mi],
>>> back_calc=self.back_calc[0][si][mi][0],
>>> num_points=self.num_disp_points[0][si][mi][0], num_cpmg=self.power[0][mi])
>>> -
>>> -                # For all missing data points, set the back-calculated
>>> value to the measured values so that it has no effect on the chi-squared
>>> value.
>>> -                for di in range(self.num_disp_points[0][si][mi][0]):
>>> -                    if self.missing[0][si][mi][0][di]:
>>> -                        self.back_calc[0][si][mi][0][di] =
>>> self.values[0][si][mi][0][di]
>>> -
>>> -                # Calculate and return the chi-squared value.
>>> -                chi2_sum += chi2(self.values[0][si][mi][0],
>>> self.back_calc[0][si][mi][0], self.errors[0][si][mi][0])
>>> -
>>> -        # Return the total chi-squared value.
>>> -        return chi2_sum
>>> +        # Convert dw from ppm to rad/s. Use the out argument, to pass
>>> directly to structure.
>>> +        multiply( multiply.outer( dw.reshape(self.NE, self.NS),
>>> self.nm_no_nd_struct ), self.frqs_a, out=self.dw_struct )
>>> +
>>> +        # Reshape R20A and R20B to per experiment, spin and frequency.
>>> +        self.r20_struct[:] = multiply.outer( R20.reshape(self.NE,
>>> self.NS, self.NM), self.no_nd_struct )
>>> +
>>> +        # Back calculate the R2eff values.
>>> +        r2eff_ns_cpmg_2site_expanded(r20=self.r20_struct, pA=pA,
>>> dw=self.dw_struct, dw_orig=dw, kex=kex, relax_time=self.relax_times_a,
>>> inv_relax_time=self.inv_relax_times_a, tcp=self.tau_cpmg_a,
>>> back_calc=self.back_calc_a, num_cpmg=self.power_a)
>>> +
>>> +        # Clean the data for all values, which is left over at the end
>>> of arrays.
>>> +        self.back_calc_a = self.back_calc_a*self.disp_struct
>>> +
>>> +        ## For all missing data points, set the back-calculated value
>>> to the measured values so that it has no effect on the chi-squared value.
>>> +        if self.has_missing:
>>> +            # Replace with values.
>>> +            self.back_calc_a[self.mask_replace_blank.mask] =
>>> self.values_a[self.mask_replace_blank.mask]
>>> +
>>> +        ## Calculate the chi-squared statistic.
>>> +        return chi2_rankN(self.values_a, self.back_calc_a,
>>> self.errors_a)
>>>
>>>
>>>      def func_ns_cpmg_2site_star(self, params):
>>>
>>>
>>> _______________________________________________
>>> relax (http://www.nmr-relax.com)
>>>
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>>>
>>
>
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