Hi,
I was just wondering if you still had time to create bug reports for
these issues? I hope to have most fixed in the next relax releases.
I would have created the reports myself and fixed the bugs or
stringent tests already, but I've been unable to. Too much computer
usage at work for work and at home for relax development and I have to
do everything one-handed as I now have RSI in my wrist. I should be
able to get back to this soon though.
Regards,
Edward
On Fri, Oct 24, 2008 at 11:26 PM, Jack Howarth
<[EMAIL PROTECTED]> wrote:
> On Fri, Oct 24, 2008 at 05:10:30PM +0200, Edward d'Auvergne wrote:
>> Hi,
>>
>> Thanks for the heads up. I didn't realise how many tests failed on a
>> Mac! Most of these aren't too serious though and are due to different
>> machine precision caused by the combination of a powerpc chip, Mac OS
>> X, and the mac python version. relax's tests are very, very strict,
>> but I'll loosen these for the mac as I have for 64 bit Linux and 32
>> bit Windows (well, as long as the optimisation results are close to
>> the true results). One system test should also fail as the code isn't
>> implemented yet ("Test the reading of an NMRView peak list"). One the
>> failures is very serious though. I know this is a bit of an effort,
>> but could I ask you to create a few bug reports for these? This will
>> really help me in the debugging and documentation of the fixes. The
>> NMRView peak list doesn't need a bug report, but if you could put all
>> the optimisation failures into one, the "The user function angles()"
>> failure into another, and the 2 unit test failures into a third. This
>> would really be appreciated. I should then be able to quickly make
>> most pass, and then release relax 1.3.3. Note that even though these
>> tests fail, relax 1.3.2 is still quite usable on Mac OS X. The
>> problems shouldn't affect model-free analysis, relaxation curve
>> fitting, noe calculations, reduced spectral density mapping,
>> consistency testing, etc.
>>
>> Cheers,
>>
>> Edward
>>
>>
>> P.S. The bug tracker is located at https://gna.org/bugs/?group=relax.
>>
>>
>
> Edward,
> Relax 1.3.2 performs somewhat better with its testsuite on
> i386-apple-darwin9. The results
> are appended below. I'll go ahead and update the fink relax-py package to
> 1.3.2 and
> will fill the bugzilla reports later this weekend.
> Jack
>
> relax --test-suite
> Function intros have been enabled.
>
>
>
>
> #############################
> # System / functional tests #
> #############################
>
>
> .....................FF.F.F..............E.................
> ======================================================================
> ERROR: Test the reading of an NMRView peak list.
> ----------------------------------------------------------------------
>
> relax> pipe.create(pipe_name='mf', pipe_type='mf')
>
> relax> residue.create(res_num=70, res_name=None, mol_id=None)
>
> relax> residue.create(res_num=72, res_name=None, mol_id=None)
>
> relax> spin.name(spin_id=None, name='N')
>
> relax> relax_fit.read(file='cNTnC.xpk',
> dir='/sw/lib/relax-py25/test_suite/shared_data/peak_lists',
> relax_time=0.017600000000000001, format='sparky', heteronuc='N', proton='HN',
> int_col=None)
> Sparky formatted data file.
>
> Opening the file
> '/sw/lib/relax-py25/test_suite/shared_data/peak_lists/cNTnC.xpk' for reading.
> Number of header lines found: 2
> Traceback (most recent call last):
> File "/sw/lib/relax-py25/test_suite/system_tests/nmrview.py", line 60, in
> test_read_peak_list
> self.relax.interpreter._Relax_fit.read(file="cNTnC.xpk", dir=sys.path[-1]
> + "/test_suite/shared_data/peak_lists", relax_time=0.0176)
> File "/sw/lib/relax-py25/prompt/relax_fit.py", line 193, in read
> relax_fit_obj.read(file=file, dir=dir, relax_time=relax_time,
> format=format, heteronuc=heteronuc, proton=proton, int_col=int_col)
> File "/sw/lib/relax-py25/specific_fns/relax_fit.py", line 1034, in read
> intensity.read(file=file, dir=dir, format=format, heteronuc=heteronuc,
> proton=proton, int_col=int_col, assign_func=self.assign_function)
> File "/sw/lib/relax-py25/generic_fns/intensity.py", line 284, in read
> res_num, H_name, X_name, intensity = intensity_fn(file_data[i])
> File "/sw/lib/relax-py25/generic_fns/intensity.py", line 95, in
> intensity_sparky
> raise RelaxError, "Improperly formatted Sparky file."
> RelaxError: RelaxError: Improperly formatted Sparky file.
>
>
> ======================================================================
> FAIL: Constrained BFGS opt, backtracking line search {S2=0.970, te=2048,
> Rex=0.149}
> ----------------------------------------------------------------------
>
> relax> pipe.create(pipe_name='mf', pipe_type='mf')
>
> relax> sequence.read(file='noe.500.out',
> dir='/sw/lib/relax-py25/test_suite/shared_data/model_free/S2_0.970_te_2048_Rex_0.149',
> mol_name_col=None, res_num_col=0, res_name_col=1, spin_num_col=None,
> spin_name_col=None, sep=None)
> Opening the file
> '/sw/lib/relax-py25/test_suite/shared_data/model_free/S2_0.970_te_2048_Rex_0.149/noe.500.out'
> for reading.
> Mol_name Res_num Res_name Spin_num Spin_name
> None 1 GLY None None
> None 2 ALA None None
>
> relax> relax_data.read(ri_label='R1', frq_label='600', frq=600000000.0,
> file='r1.600.out',
> dir='/sw/lib/relax-py25/test_suite/shared_data/model_free/S2_0.970_te_2048_Rex_0.149',
> mol_name_col=None, res_num_col=0, res_name_col=1, spin_num_col=None,
> spin_name_col=None, data_col=2, error_col=3, sep=None)
> Opening the file
> '/sw/lib/relax-py25/test_suite/shared_data/model_free/S2_0.970_te_2048_Rex_0.149/r1.600.out'
> for reading.
>
> relax> relax_data.read(ri_label='R2', frq_label='600', frq=600000000.0,
> file='r2.600.out',
> dir='/sw/lib/relax-py25/test_suite/shared_data/model_free/S2_0.970_te_2048_Rex_0.149',
> mol_name_col=None, res_num_col=0, res_name_col=1, spin_num_col=None,
> spin_name_col=None, data_col=2, error_col=3, sep=None)
> Opening the file
> '/sw/lib/relax-py25/test_suite/shared_data/model_free/S2_0.970_te_2048_Rex_0.149/r2.600.out'
> for reading.
>
> relax> relax_data.read(ri_label='NOE', frq_label='600', frq=600000000.0,
> file='noe.600.out',
> dir='/sw/lib/relax-py25/test_suite/shared_data/model_free/S2_0.970_te_2048_Rex_0.149',
> mol_name_col=None, res_num_col=0, res_name_col=1, spin_num_col=None,
> spin_name_col=None, data_col=2, error_col=3, sep=None)
> Opening the file
> '/sw/lib/relax-py25/test_suite/shared_data/model_free/S2_0.970_te_2048_Rex_0.149/noe.600.out'
> for reading.
>
> relax> relax_data.read(ri_label='R1', frq_label='500', frq=500000000.0,
> file='r1.500.out',
> dir='/sw/lib/relax-py25/test_suite/shared_data/model_free/S2_0.970_te_2048_Rex_0.149',
> mol_name_col=None, res_num_col=0, res_name_col=1, spin_num_col=None,
> spin_name_col=None, data_col=2, error_col=3, sep=None)
> Opening the file
> '/sw/lib/relax-py25/test_suite/shared_data/model_free/S2_0.970_te_2048_Rex_0.149/r1.500.out'
> for reading.
>
> relax> relax_data.read(ri_label='R2', frq_label='500', frq=500000000.0,
> file='r2.500.out',
> dir='/sw/lib/relax-py25/test_suite/shared_data/model_free/S2_0.970_te_2048_Rex_0.149',
> mol_name_col=None, res_num_col=0, res_name_col=1, spin_num_col=None,
> spin_name_col=None, data_col=2, error_col=3, sep=None)
> Opening the file
> '/sw/lib/relax-py25/test_suite/shared_data/model_free/S2_0.970_te_2048_Rex_0.149/r2.500.out'
> for reading.
>
> relax> relax_data.read(ri_label='NOE', frq_label='500', frq=500000000.0,
> file='noe.500.out',
> dir='/sw/lib/relax-py25/test_suite/shared_data/model_free/S2_0.970_te_2048_Rex_0.149',
> mol_name_col=None, res_num_col=0, res_name_col=1, spin_num_col=None,
> spin_name_col=None, data_col=2, error_col=3, sep=None)
> Opening the file
> '/sw/lib/relax-py25/test_suite/shared_data/model_free/S2_0.970_te_2048_Rex_0.149/noe.500.out'
> for reading.
>
> relax> diffusion_tensor.init(params=1e-08, time_scale=1.0, d_scale=1.0,
> angle_units='deg', param_types=0, spheroid_type=None, fixed=True)
>
> relax> value.set(val=1.0200000000000001e-10, param='bond_length',
> spin_id=None)
>
> relax> value.set(val=-0.00015999999999999999, param='csa', spin_id=None)
>
> relax> value.set(val='15N', param='heteronucleus', spin_id=None)
>
> relax> value.set(val='1H', param='proton', spin_id=None)
>
> relax> model_free.select_model(model='m4', spin_id=None)
>
> relax> value.set(val=[1.0, 0.0, 0.0], param=['S2', 'te', 'Rex'], spin_id=None)
>
> relax> minimise(*args=('bfgs', 'back'), func_tol=1e-25,
> max_iterations=10000000, constraints=True, scaling=True, verbosity=1)
> Only the model-free parameters for single spins will be used.
>
>
> Fitting to spin ':2&:ALA'
> ~~~~~~~~~~~~~~~~~~~~~~~~
>
>
> Method of Multipliers
> ~~~~~~~~~~~~~~~~~~~~
>
> k: 0 xk: array([ 1., 0., 0.])
> fk: 3.9844117908982288
> Entering sub-algorithm.
>
> Quasi-Newton BFGS minimisation
> ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
> Line search: Backtracking line search.
>
> k: 0 xk: array([ 1., 0., 0.])
> fk: 3.9844117908982288
>
> Parameter values: array([ 0.90905502, 74.36929555, 1.22310091])
> Function value: -1447.7789206950388
> Iterations: 37
> Function calls: 93
> Gradient calls: 38
> Hessian calls: 0
> Warning: None
>
>
> k: 1 xk: array([ 0.90905502, 74.36929555, 1.22310091])
> fk: 48.121412825285702
> Entering sub-algorithm.
>
> Quasi-Newton BFGS minimisation
> ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
> Line search: Backtracking line search.
>
> k: 0 xk: array([ 0.90905502, 74.36929555, 1.22310091])
> fk: 46.071579585447914
>
> Parameter values: array([ 9.89561039e-01, 4.08922117e+02,
> 1.27899125e-01])
> Function value: 1.5767184945640649
> Iterations: 37
> Function calls: 203
> Gradient calls: 38
> Hessian calls: 0
> Warning: None
>
>
> k: 2 xk: array([ 9.89561039e-01, 4.08922117e+02, 1.27899125e-01])
> fk: 3.6265517344018541
> Entering sub-algorithm.
>
> Quasi-Newton BFGS minimisation
> ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
> Line search: Backtracking line search.
>
> k: 0 xk: array([ 9.89561039e-01, 4.08922117e+02,
> 1.27899125e-01]) fk: 3.6265517344018541
>
> Parameter values: array([ 9.79293074e-01, 6.96567345e+02,
> 8.30000802e-02])
> Function value: 2.5772195679741152
> Iterations: 30
> Function calls: 148
> Gradient calls: 31
> Hessian calls: 0
> Warning: None
>
>
> k: 3 xk: array([ 9.79293074e-01, 6.96567345e+02, 8.30000802e-02])
> fk: 2.5772195679741152
> Entering sub-algorithm.
>
> Quasi-Newton BFGS minimisation
> ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
> Line search: Backtracking line search.
>
> k: 0 xk: array([ 9.79293074e-01, 6.96567345e+02,
> 8.30000802e-02]) fk: 2.5772195679741152
>
> Parameter values: array([ 9.70000000e-01, 2.04800000e+03,
> 1.49000000e-01])
> Function value: 1.2222852502880481e-20
> Iterations: 64
> Function calls: 181
> Gradient calls: 65
> Hessian calls: 0
> Warning: None
>
>
> k: 4 xk: array([ 9.70000000e-01, 2.04800000e+03, 1.49000000e-01])
> fk: 1.2222852502880481e-20
> Entering sub-algorithm.
>
> Quasi-Newton BFGS minimisation
> ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
> Line search: Backtracking line search.
>
> k: 0 xk: array([ 9.70000000e-01, 2.04800000e+03,
> 1.49000000e-01]) fk: 1.2222852502880481e-20
>
> Parameter values: array([ 9.70000000e-01, 2.04800000e+03,
> 1.49000000e-01])
> Function value: 1.11538158135138e-20
> Iterations: 2
> Function calls: 18
> Gradient calls: 3
> Hessian calls: 0
> Warning: None
>
>
> k: 5 xk: array([ 9.70000000e-01, 2.04800000e+03, 1.49000000e-01])
> fk: 1.11538158135138e-20
> Entering sub-algorithm.
>
> Quasi-Newton BFGS minimisation
> ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
> Line search: Backtracking line search.
>
> k: 0 xk: array([ 9.70000000e-01, 2.04800000e+03,
> 1.49000000e-01]) fk: 1.11538158135138e-20
>
> Parameter values: array([ 9.70000000e-01, 2.04800000e+03,
> 1.49000000e-01])
> Function value: 1.1151721805269898e-20
> Iterations: 4
> Function calls: 50
> Gradient calls: 5
> Hessian calls: 0
> Warning: None
>
>
> k: 6 xk: array([ 9.70000000e-01, 2.04800000e+03, 1.49000000e-01])
> fk: 1.1151721805269898e-20
> Entering sub-algorithm.
>
> Quasi-Newton BFGS minimisation
> ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
> Line search: Backtracking line search.
>
> k: 0 xk: array([ 9.70000000e-01, 2.04800000e+03,
> 1.49000000e-01]) fk: 1.1151721805269898e-20
>
> Parameter values: array([ 9.70000000e-01, 2.04800000e+03,
> 1.49000000e-01])
> Function value: 1.1151721805269898e-20
> Iterations: 1
> Function calls: 42
> Gradient calls: 2
> Hessian calls: 0
> Warning: None
>
>
> Parameter values: array([ 9.70000000e-01, 2.04800000e+03,
> 1.49000000e-01])
> Function value: 1.1151721805269898e-20
> Iterations: 175
> Function calls: 735
> Gradient calls: 182
> Hessian calls: 0
> Warning: None
>
> Traceback (most recent call last):
> File "/sw/lib/relax-py25/test_suite/system_tests/model_free.py", line 301,
> in test_opt_constr_bfgs_back_S2_0_970_te_2048_Rex_0_149
> self.value_test(spin, select, s2, te, rex, chi2, iter, f_count, g_count,
> h_count, warning)
> File "/sw/lib/relax-py25/test_suite/system_tests/model_free.py", line 1043,
> in value_test
> self.assertAlmostEqual(spin.te / 1e-12, te, msg=mesg)
> AssertionError: Optimisation failure.
>
> System: Darwin
> Release: 9.6.0
> Version: Darwin Kernel Version 9.6.0: Fri Oct 17 22:38:41 PDT 2008;
> root:xnu-1228.9.56~1/RELEASE_I386
> Win32 version:
> Distribution:
> Architecture: 32bit
> Machine: i386
> Processor: i386
> Python version: 2.5.2
> numpy version: 1.1.1
>
>
> s2: 0.9700000000009170
> te: 2048.0000001751678
> rex: 0.14899999998256069
> chi2: 1.1151721805269898e-20
> iter: 175
> f_count: 735
> g_count: 182
> h_count: 0
> warning: None
>
> ======================================================================
> FAIL: Constrained BFGS opt, More and Thuente line search {S2=0.970, te=2048,
> Rex=0.149}
> ----------------------------------------------------------------------
>
> relax> pipe.create(pipe_name='mf', pipe_type='mf')
>
> relax> sequence.read(file='noe.500.out',
> dir='/sw/lib/relax-py25/test_suite/shared_data/model_free/S2_0.970_te_2048_Rex_0.149',
> mol_name_col=None, res_num_col=0, res_name_col=1, spin_num_col=None,
> spin_name_col=None, sep=None)
> Opening the file
> '/sw/lib/relax-py25/test_suite/shared_data/model_free/S2_0.970_te_2048_Rex_0.149/noe.500.out'
> for reading.
> Mol_name Res_num Res_name Spin_num Spin_name
> None 1 GLY None None
> None 2 ALA None None
>
> relax> relax_data.read(ri_label='R1', frq_label='600', frq=600000000.0,
> file='r1.600.out',
> dir='/sw/lib/relax-py25/test_suite/shared_data/model_free/S2_0.970_te_2048_Rex_0.149',
> mol_name_col=None, res_num_col=0, res_name_col=1, spin_num_col=None,
> spin_name_col=None, data_col=2, error_col=3, sep=None)
> Opening the file
> '/sw/lib/relax-py25/test_suite/shared_data/model_free/S2_0.970_te_2048_Rex_0.149/r1.600.out'
> for reading.
>
> relax> relax_data.read(ri_label='R2', frq_label='600', frq=600000000.0,
> file='r2.600.out',
> dir='/sw/lib/relax-py25/test_suite/shared_data/model_free/S2_0.970_te_2048_Rex_0.149',
> mol_name_col=None, res_num_col=0, res_name_col=1, spin_num_col=None,
> spin_name_col=None, data_col=2, error_col=3, sep=None)
> Opening the file
> '/sw/lib/relax-py25/test_suite/shared_data/model_free/S2_0.970_te_2048_Rex_0.149/r2.600.out'
> for reading.
>
> relax> relax_data.read(ri_label='NOE', frq_label='600', frq=600000000.0,
> file='noe.600.out',
> dir='/sw/lib/relax-py25/test_suite/shared_data/model_free/S2_0.970_te_2048_Rex_0.149',
> mol_name_col=None, res_num_col=0, res_name_col=1, spin_num_col=None,
> spin_name_col=None, data_col=2, error_col=3, sep=None)
> Opening the file
> '/sw/lib/relax-py25/test_suite/shared_data/model_free/S2_0.970_te_2048_Rex_0.149/noe.600.out'
> for reading.
>
> relax> relax_data.read(ri_label='R1', frq_label='500', frq=500000000.0,
> file='r1.500.out',
> dir='/sw/lib/relax-py25/test_suite/shared_data/model_free/S2_0.970_te_2048_Rex_0.149',
> mol_name_col=None, res_num_col=0, res_name_col=1, spin_num_col=None,
> spin_name_col=None, data_col=2, error_col=3, sep=None)
> Opening the file
> '/sw/lib/relax-py25/test_suite/shared_data/model_free/S2_0.970_te_2048_Rex_0.149/r1.500.out'
> for reading.
>
> relax> relax_data.read(ri_label='R2', frq_label='500', frq=500000000.0,
> file='r2.500.out',
> dir='/sw/lib/relax-py25/test_suite/shared_data/model_free/S2_0.970_te_2048_Rex_0.149',
> mol_name_col=None, res_num_col=0, res_name_col=1, spin_num_col=None,
> spin_name_col=None, data_col=2, error_col=3, sep=None)
> Opening the file
> '/sw/lib/relax-py25/test_suite/shared_data/model_free/S2_0.970_te_2048_Rex_0.149/r2.500.out'
> for reading.
>
> relax> relax_data.read(ri_label='NOE', frq_label='500', frq=500000000.0,
> file='noe.500.out',
> dir='/sw/lib/relax-py25/test_suite/shared_data/model_free/S2_0.970_te_2048_Rex_0.149',
> mol_name_col=None, res_num_col=0, res_name_col=1, spin_num_col=None,
> spin_name_col=None, data_col=2, error_col=3, sep=None)
> Opening the file
> '/sw/lib/relax-py25/test_suite/shared_data/model_free/S2_0.970_te_2048_Rex_0.149/noe.500.out'
> for reading.
>
> relax> diffusion_tensor.init(params=1e-08, time_scale=1.0, d_scale=1.0,
> angle_units='deg', param_types=0, spheroid_type=None, fixed=True)
>
> relax> value.set(val=1.0200000000000001e-10, param='bond_length',
> spin_id=None)
>
> relax> value.set(val=-0.00015999999999999999, param='csa', spin_id=None)
>
> relax> value.set(val='15N', param='heteronucleus', spin_id=None)
>
> relax> value.set(val='1H', param='proton', spin_id=None)
>
> relax> model_free.select_model(model='m4', spin_id=None)
>
> relax> value.set(val=[1.0, 0.0, 0.0], param=['S2', 'te', 'Rex'], spin_id=None)
>
> relax> minimise(*args=('bfgs', 'mt'), func_tol=1e-25,
> max_iterations=10000000, constraints=True, scaling=True, verbosity=1)
> Only the model-free parameters for single spins will be used.
>
>
> Fitting to spin ':2&:ALA'
> ~~~~~~~~~~~~~~~~~~~~~~~~
>
>
> Method of Multipliers
> ~~~~~~~~~~~~~~~~~~~~
>
> k: 0 xk: array([ 1., 0., 0.])
> fk: 3.9844117908982288
> Entering sub-algorithm.
>
> Quasi-Newton BFGS minimisation
> ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
> Line search: More and Thuente line search.
>
> k: 0 xk: array([ 1., 0., 0.])
> fk: 3.9844117908982288
>
> Parameter values: array([ 0.90905506, 74.36943011, 1.22310156])
> Function value: -1447.7789206948671
> Iterations: 22
> Function calls: 50
> Gradient calls: 50
> Hessian calls: 0
> Warning: None
>
>
> k: 1 xk: array([ 0.90905506, 74.36943011, 1.22310156])
> fk: 48.121371716752257
> Entering sub-algorithm.
>
> Quasi-Newton BFGS minimisation
> ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
> Line search: More and Thuente line search.
>
> k: 0 xk: array([ 0.90905506, 74.36943011, 1.22310156])
> fk: 46.071517922561874
>
> Parameter values: array([ 9.94936631e-01, 8.81385060e+01,
> -3.79281068e-05])
> Function value: 1.9644199905673625
> Iterations: 38
> Function calls: 128
> Gradient calls: 128
> Hessian calls: 0
> Warning: The gradient at point 0 of this line search is
> positive, ie p is not a descent direction and the line search will not work.
> (fatal minimisation error).
>
>
> k: 2 xk: array([ 9.94936631e-01, 8.81385060e+01, -3.79281068e-05])
> fk: 144.63923557105986
> Entering sub-algorithm.
>
> Quasi-Newton BFGS minimisation
> ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
> Line search: More and Thuente line search.
>
> k: 0 xk: array([ 9.94936631e-01, 8.81385060e+01,
> -3.79281068e-05]) fk: 4.014705347144286
>
> Parameter values: array([ 9.70000000e-01, 2.04800000e+03,
> 1.49000000e-01])
> Function value: -7.1927064423000128e-05
> Iterations: 56
> Function calls: 129
> Gradient calls: 129
> Hessian calls: 0
> Warning: None
>
>
> k: 3 xk: array([ 9.70000000e-01, 2.04800000e+03, 1.49000000e-01])
> fk: 1.6352573249506989e-20
> Entering sub-algorithm.
>
> Quasi-Newton BFGS minimisation
> ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
> Line search: More and Thuente line search.
>
> k: 0 xk: array([ 9.70000000e-01, 2.04800000e+03,
> 1.49000000e-01]) fk: 1.6352573249506989e-20
>
> Parameter values: array([ 9.70000000e-01, 2.04800000e+03,
> 1.49000000e-01])
> Function value: 2.6899730031345977e-21
> Iterations: 1
> Function calls: 4
> Gradient calls: 4
> Hessian calls: 0
> Warning: None
>
>
> k: 4 xk: array([ 9.70000000e-01, 2.04800000e+03, 1.49000000e-01])
> fk: 2.6899730031345977e-21
> Entering sub-algorithm.
>
> Quasi-Newton BFGS minimisation
> ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
> Line search: More and Thuente line search.
>
> k: 0 xk: array([ 9.70000000e-01, 2.04800000e+03,
> 1.49000000e-01]) fk: 2.6899730031345977e-21
>
> Parameter values: array([ 9.70000000e-01, 2.04800000e+03,
> 1.49000000e-01])
> Function value: 4.7647467884964078e-23
> Iterations: 2
> Function calls: 7
> Gradient calls: 7
> Hessian calls: 0
> Warning: None
>
>
> k: 5 xk: array([ 9.70000000e-01, 2.04800000e+03, 1.49000000e-01])
> fk: 4.7647467884964078e-23
> Entering sub-algorithm.
>
> Quasi-Newton BFGS minimisation
> ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
> Line search: More and Thuente line search.
>
> k: 0 xk: array([ 9.70000000e-01, 2.04800000e+03,
> 1.49000000e-01]) fk: 4.7647467884964078e-23
>
> Parameter values: array([ 9.70000000e-01, 2.04800000e+03,
> 1.49000000e-01])
> Function value: 4.7647467884964078e-23
> Iterations: 1
> Function calls: 68
> Gradient calls: 68
> Hessian calls: 0
> Warning: None
>
>
> Parameter values: array([ 9.70000000e-01, 2.04800000e+03,
> 1.49000000e-01])
> Function value: 4.7647467884964078e-23
> Iterations: 120
> Function calls: 386
> Gradient calls: 386
> Hessian calls: 0
> Warning: None
>
> Traceback (most recent call last):
> File "/sw/lib/relax-py25/test_suite/system_tests/model_free.py", line 355,
> in test_opt_constr_bfgs_mt_S2_0_970_te_2048_Rex_0_149
> self.value_test(spin, select, s2, te, rex, chi2, iter, f_count, g_count,
> h_count, warning)
> File "/sw/lib/relax-py25/test_suite/system_tests/model_free.py", line 1047,
> in value_test
> self.assertEqual(spin.f_count, f_count, msg=mesg)
> AssertionError: Optimisation failure.
>
> System: Darwin
> Release: 9.6.0
> Version: Darwin Kernel Version 9.6.0: Fri Oct 17 22:38:41 PDT 2008;
> root:xnu-1228.9.56~1/RELEASE_I386
> Win32 version:
> Distribution:
> Architecture: 32bit
> Machine: i386
> Processor: i386
> Python version: 2.5.2
> numpy version: 1.1.1
>
>
> s2: 0.9700000000000604
> te: 2048.0000000114997
> rex: 0.14899999999886168
> chi2: 4.7647467884964078e-23
> iter: 120
> f_count: 386
> g_count: 386
> h_count: 0
> warning: None
>
> ======================================================================
> FAIL: Constrained coordinate descent opt, More and Thuente line search
> {S2=0.970, te=2048, Rex=0.149}
> ----------------------------------------------------------------------
>
> relax> pipe.create(pipe_name='mf', pipe_type='mf')
>
> relax> sequence.read(file='noe.500.out',
> dir='/sw/lib/relax-py25/test_suite/shared_data/model_free/S2_0.970_te_2048_Rex_0.149',
> mol_name_col=None, res_num_col=0, res_name_col=1, spin_num_col=None,
> spin_name_col=None, sep=None)
> Opening the file
> '/sw/lib/relax-py25/test_suite/shared_data/model_free/S2_0.970_te_2048_Rex_0.149/noe.500.out'
> for reading.
> Mol_name Res_num Res_name Spin_num Spin_name
> None 1 GLY None None
> None 2 ALA None None
>
> relax> relax_data.read(ri_label='R1', frq_label='600', frq=600000000.0,
> file='r1.600.out',
> dir='/sw/lib/relax-py25/test_suite/shared_data/model_free/S2_0.970_te_2048_Rex_0.149',
> mol_name_col=None, res_num_col=0, res_name_col=1, spin_num_col=None,
> spin_name_col=None, data_col=2, error_col=3, sep=None)
> Opening the file
> '/sw/lib/relax-py25/test_suite/shared_data/model_free/S2_0.970_te_2048_Rex_0.149/r1.600.out'
> for reading.
>
> relax> relax_data.read(ri_label='R2', frq_label='600', frq=600000000.0,
> file='r2.600.out',
> dir='/sw/lib/relax-py25/test_suite/shared_data/model_free/S2_0.970_te_2048_Rex_0.149',
> mol_name_col=None, res_num_col=0, res_name_col=1, spin_num_col=None,
> spin_name_col=None, data_col=2, error_col=3, sep=None)
> Opening the file
> '/sw/lib/relax-py25/test_suite/shared_data/model_free/S2_0.970_te_2048_Rex_0.149/r2.600.out'
> for reading.
>
> relax> relax_data.read(ri_label='NOE', frq_label='600', frq=600000000.0,
> file='noe.600.out',
> dir='/sw/lib/relax-py25/test_suite/shared_data/model_free/S2_0.970_te_2048_Rex_0.149',
> mol_name_col=None, res_num_col=0, res_name_col=1, spin_num_col=None,
> spin_name_col=None, data_col=2, error_col=3, sep=None)
> Opening the file
> '/sw/lib/relax-py25/test_suite/shared_data/model_free/S2_0.970_te_2048_Rex_0.149/noe.600.out'
> for reading.
>
> relax> relax_data.read(ri_label='R1', frq_label='500', frq=500000000.0,
> file='r1.500.out',
> dir='/sw/lib/relax-py25/test_suite/shared_data/model_free/S2_0.970_te_2048_Rex_0.149',
> mol_name_col=None, res_num_col=0, res_name_col=1, spin_num_col=None,
> spin_name_col=None, data_col=2, error_col=3, sep=None)
> Opening the file
> '/sw/lib/relax-py25/test_suite/shared_data/model_free/S2_0.970_te_2048_Rex_0.149/r1.500.out'
> for reading.
>
> relax> relax_data.read(ri_label='R2', frq_label='500', frq=500000000.0,
> file='r2.500.out',
> dir='/sw/lib/relax-py25/test_suite/shared_data/model_free/S2_0.970_te_2048_Rex_0.149',
> mol_name_col=None, res_num_col=0, res_name_col=1, spin_num_col=None,
> spin_name_col=None, data_col=2, error_col=3, sep=None)
> Opening the file
> '/sw/lib/relax-py25/test_suite/shared_data/model_free/S2_0.970_te_2048_Rex_0.149/r2.500.out'
> for reading.
>
> relax> relax_data.read(ri_label='NOE', frq_label='500', frq=500000000.0,
> file='noe.500.out',
> dir='/sw/lib/relax-py25/test_suite/shared_data/model_free/S2_0.970_te_2048_Rex_0.149',
> mol_name_col=None, res_num_col=0, res_name_col=1, spin_num_col=None,
> spin_name_col=None, data_col=2, error_col=3, sep=None)
> Opening the file
> '/sw/lib/relax-py25/test_suite/shared_data/model_free/S2_0.970_te_2048_Rex_0.149/noe.500.out'
> for reading.
>
> relax> diffusion_tensor.init(params=1e-08, time_scale=1.0, d_scale=1.0,
> angle_units='deg', param_types=0, spheroid_type=None, fixed=True)
>
> relax> value.set(val=1.0200000000000001e-10, param='bond_length',
> spin_id=None)
>
> relax> value.set(val=-0.00015999999999999999, param='csa', spin_id=None)
>
> relax> value.set(val='15N', param='heteronucleus', spin_id=None)
>
> relax> value.set(val='1H', param='proton', spin_id=None)
>
> relax> model_free.select_model(model='m4', spin_id=None)
>
> relax> value.set(val=[1.0, 0.0, 0.0], param=['S2', 'te', 'Rex'], spin_id=None)
>
> relax> minimise(*args=('cd', 'mt'), func_tol=1e-25, max_iterations=10000000,
> constraints=True, scaling=True, verbosity=1)
> Only the model-free parameters for single spins will be used.
>
>
> Fitting to spin ':2&:ALA'
> ~~~~~~~~~~~~~~~~~~~~~~~~
>
>
> Method of Multipliers
> ~~~~~~~~~~~~~~~~~~~~
>
> k: 0 xk: array([ 1., 0., 0.])
> fk: 3.9844117908982288
> Entering sub-algorithm.
>
> Back-and-forth coordinate descent minimisation
> ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
> Line search: More and Thuente line search.
>
> k: 0 xk: array([ 1., 0., 0.])
> fk: 3.9844117908982288
>
> Parameter values: array([ 0.90905609, 74.37463254, 1.22289922])
> Function value: -1447.7789199590425
> Iterations: 25
> Function calls: 75
> Gradient calls: 75
> Hessian calls: 0
> Warning: None
>
>
> k: 1 xk: array([ 0.90905609, 74.37463254, 1.22289922])
> fk: 48.120438129522014
> Entering sub-algorithm.
>
> Back-and-forth coordinate descent minimisation
> ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
> Line search: More and Thuente line search.
>
> k: 0 xk: array([ 0.90905609, 74.37463254, 1.22289922])
> fk: 46.070117173804164
>
> Parameter values: array([ 9.70000218e-01, 2.04801529e+03,
> 1.48994731e-01])
> Function value: -2.0503209554858945
> Iterations: 89
> Function calls: 284
> Gradient calls: 284
> Hessian calls: 0
> Warning: None
>
>
> k: 2 xk: array([ 9.70000218e-01, 2.04801529e+03, 1.48994731e-01])
> fk: 2.3195995262977486e-10
> Entering sub-algorithm.
>
> Back-and-forth coordinate descent minimisation
> ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
> Line search: More and Thuente line search.
>
> k: 0 xk: array([ 9.70000218e-01, 2.04801529e+03,
> 1.48994731e-01]) fk: 2.3195995262977486e-10
>
> Parameter values: array([ 9.70000218e-01, 2.04800873e+03,
> 1.48997054e-01])
> Function value: 1.2998777447179547e-10
> Iterations: 18
> Function calls: 136
> Gradient calls: 136
> Hessian calls: 0
> Warning: None
>
>
> k: 3 xk: array([ 9.70000218e-01, 2.04800873e+03, 1.48997054e-01])
> fk: 1.2998777447179547e-10
> Entering sub-algorithm.
>
> Back-and-forth coordinate descent minimisation
> ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
> Line search: More and Thuente line search.
>
> k: 0 xk: array([ 9.70000218e-01, 2.04800873e+03,
> 1.48997054e-01]) fk: 1.2998777447179547e-10
>
> Parameter values: array([ 9.70000000e-01, 2.04800000e+03,
> 1.48999999e-01])
> Function value: 2.3477234248531005e-18
> Iterations: 65
> Function calls: 184
> Gradient calls: 184
> Hessian calls: 0
> Warning: None
>
>
> k: 4 xk: array([ 9.70000000e-01, 2.04800000e+03, 1.48999999e-01])
> fk: 2.3477234248531005e-18
> Entering sub-algorithm.
>
> Back-and-forth coordinate descent minimisation
> ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
> Line search: More and Thuente line search.
>
> k: 0 xk: array([ 9.70000000e-01, 2.04800000e+03,
> 1.48999999e-01]) fk: 2.3477234248531005e-18
>
> Parameter values: array([ 9.70000000e-01, 2.04800000e+03,
> 1.48999999e-01])
> Function value: 2.3477234248531005e-18
> Iterations: 1
> Function calls: 78
> Gradient calls: 78
> Hessian calls: 0
> Warning: None
>
>
> Parameter values: array([ 9.70000000e-01, 2.04800000e+03,
> 1.48999999e-01])
> Function value: 2.3477234248531005e-18
> Iterations: 198
> Function calls: 757
> Gradient calls: 757
> Hessian calls: 0
> Warning: None
>
> Traceback (most recent call last):
> File "/sw/lib/relax-py25/test_suite/system_tests/model_free.py", line 452,
> in test_opt_constr_cd_mt_S2_0_970_te_2048_Rex_0_149
> self.value_test(spin, select, s2, te, rex, chi2, iter, f_count, g_count,
> h_count, warning)
> File "/sw/lib/relax-py25/test_suite/system_tests/model_free.py", line 1047,
> in value_test
> self.assertEqual(spin.f_count, f_count, msg=mesg)
> AssertionError: Optimisation failure.
>
> System: Darwin
> Release: 9.6.0
> Version: Darwin Kernel Version 9.6.0: Fri Oct 17 22:38:41 PDT 2008;
> root:xnu-1228.9.56~1/RELEASE_I386
> Win32 version:
> Distribution:
> Architecture: 32bit
> Machine: i386
> Processor: i386
> Python version: 2.5.2
> numpy version: 1.1.1
>
>
> s2: 0.9700000000219674
> te: 2048.0000015341870
> rex: 0.14899999946977982
> chi2: 2.3477234248531005e-18
> iter: 198
> f_count: 757
> g_count: 757
> h_count: 0
> warning: None
>
> ======================================================================
> FAIL: Constrained Newton opt, GMW Hessian mod, More and Thuente line search
> {S2=0.970, te=2048, Rex=0.149}
> ----------------------------------------------------------------------
>
> relax> pipe.create(pipe_name='mf', pipe_type='mf')
>
> relax> sequence.read(file='noe.500.out',
> dir='/sw/lib/relax-py25/test_suite/shared_data/model_free/S2_0.970_te_2048_Rex_0.149',
> mol_name_col=None, res_num_col=0, res_name_col=1, spin_num_col=None,
> spin_name_col=None, sep=None)
> Opening the file
> '/sw/lib/relax-py25/test_suite/shared_data/model_free/S2_0.970_te_2048_Rex_0.149/noe.500.out'
> for reading.
> Mol_name Res_num Res_name Spin_num Spin_name
> None 1 GLY None None
> None 2 ALA None None
>
> relax> relax_data.read(ri_label='R1', frq_label='600', frq=600000000.0,
> file='r1.600.out',
> dir='/sw/lib/relax-py25/test_suite/shared_data/model_free/S2_0.970_te_2048_Rex_0.149',
> mol_name_col=None, res_num_col=0, res_name_col=1, spin_num_col=None,
> spin_name_col=None, data_col=2, error_col=3, sep=None)
> Opening the file
> '/sw/lib/relax-py25/test_suite/shared_data/model_free/S2_0.970_te_2048_Rex_0.149/r1.600.out'
> for reading.
>
> relax> relax_data.read(ri_label='R2', frq_label='600', frq=600000000.0,
> file='r2.600.out',
> dir='/sw/lib/relax-py25/test_suite/shared_data/model_free/S2_0.970_te_2048_Rex_0.149',
> mol_name_col=None, res_num_col=0, res_name_col=1, spin_num_col=None,
> spin_name_col=None, data_col=2, error_col=3, sep=None)
> Opening the file
> '/sw/lib/relax-py25/test_suite/shared_data/model_free/S2_0.970_te_2048_Rex_0.149/r2.600.out'
> for reading.
>
> relax> relax_data.read(ri_label='NOE', frq_label='600', frq=600000000.0,
> file='noe.600.out',
> dir='/sw/lib/relax-py25/test_suite/shared_data/model_free/S2_0.970_te_2048_Rex_0.149',
> mol_name_col=None, res_num_col=0, res_name_col=1, spin_num_col=None,
> spin_name_col=None, data_col=2, error_col=3, sep=None)
> Opening the file
> '/sw/lib/relax-py25/test_suite/shared_data/model_free/S2_0.970_te_2048_Rex_0.149/noe.600.out'
> for reading.
>
> relax> relax_data.read(ri_label='R1', frq_label='500', frq=500000000.0,
> file='r1.500.out',
> dir='/sw/lib/relax-py25/test_suite/shared_data/model_free/S2_0.970_te_2048_Rex_0.149',
> mol_name_col=None, res_num_col=0, res_name_col=1, spin_num_col=None,
> spin_name_col=None, data_col=2, error_col=3, sep=None)
> Opening the file
> '/sw/lib/relax-py25/test_suite/shared_data/model_free/S2_0.970_te_2048_Rex_0.149/r1.500.out'
> for reading.
>
> relax> relax_data.read(ri_label='R2', frq_label='500', frq=500000000.0,
> file='r2.500.out',
> dir='/sw/lib/relax-py25/test_suite/shared_data/model_free/S2_0.970_te_2048_Rex_0.149',
> mol_name_col=None, res_num_col=0, res_name_col=1, spin_num_col=None,
> spin_name_col=None, data_col=2, error_col=3, sep=None)
> Opening the file
> '/sw/lib/relax-py25/test_suite/shared_data/model_free/S2_0.970_te_2048_Rex_0.149/r2.500.out'
> for reading.
>
> relax> relax_data.read(ri_label='NOE', frq_label='500', frq=500000000.0,
> file='noe.500.out',
> dir='/sw/lib/relax-py25/test_suite/shared_data/model_free/S2_0.970_te_2048_Rex_0.149',
> mol_name_col=None, res_num_col=0, res_name_col=1, spin_num_col=None,
> spin_name_col=None, data_col=2, error_col=3, sep=None)
> Opening the file
> '/sw/lib/relax-py25/test_suite/shared_data/model_free/S2_0.970_te_2048_Rex_0.149/noe.500.out'
> for reading.
>
> relax> diffusion_tensor.init(params=1e-08, time_scale=1.0, d_scale=1.0,
> angle_units='deg', param_types=0, spheroid_type=None, fixed=True)
>
> relax> value.set(val=1.0200000000000001e-10, param='bond_length',
> spin_id=None)
>
> relax> value.set(val=-0.00015999999999999999, param='csa', spin_id=None)
>
> relax> value.set(val='15N', param='heteronucleus', spin_id=None)
>
> relax> value.set(val='1H', param='proton', spin_id=None)
>
> relax> model_free.select_model(model='m4', spin_id=None)
>
> relax> value.set(val=[1.0, 0.0, 0.0], param=['S2', 'te', 'Rex'], spin_id=None)
>
> relax> minimise(*args=('newton', 'gmw', 'mt'), func_tol=1e-25,
> max_iterations=10000000, constraints=True, scaling=True, verbosity=1)
> Only the model-free parameters for single spins will be used.
>
>
> Fitting to spin ':2&:ALA'
> ~~~~~~~~~~~~~~~~~~~~~~~~
>
>
> Method of Multipliers
> ~~~~~~~~~~~~~~~~~~~~
>
> k: 0 xk: array([ 1., 0., 0.])
> fk: 3.9844117908982288
> Entering sub-algorithm.
>
> Newton minimisation
> ~~~~~~~~~~~~~~~~~~~
> Line search: More and Thuente line search.
> Hessian modification: The Gill, Murray, and Wright modified Cholesky
> algorithm.
>
> k: 0 xk: array([ 1., 0., 0.])
> fk: 3.9844117908982288
>
> Parameter values: array([ 0.90905499, 74.36909171, 1.22310096])
> Function value: -1447.7789206948949
> Iterations: 4
> Function calls: 9
> Gradient calls: 9
> Hessian calls: 4
> Warning: None
>
>
> k: 1 xk: array([ 0.90905499, 74.36909171, 1.22310096])
> fk: 48.121433050621448
> Entering sub-algorithm.
>
> Newton minimisation
> ~~~~~~~~~~~~~~~~~~~
> Line search: More and Thuente line search.
> Hessian modification: The Gill, Murray, and Wright modified Cholesky
> algorithm.
>
> k: 0 xk: array([ 0.90905499, 74.36909171, 1.22310096])
> fk: 46.071609923379611
>
> Parameter values: array([ 9.69999996e-01, 2.04799919e+03,
> 1.49000073e-01])
> Function value: -2.0498231272415968
> Iterations: 15
> Function calls: 73
> Gradient calls: 73
> Hessian calls: 15
> Warning: None
>
>
> k: 2 xk: array([ 9.69999996e-01, 2.04799919e+03, 1.49000073e-01])
> fk: 2.3886847781949838e-13
> Entering sub-algorithm.
>
> Newton minimisation
> ~~~~~~~~~~~~~~~~~~~
> Line search: More and Thuente line search.
> Hessian modification: The Gill, Murray, and Wright modified Cholesky
> algorithm.
>
> k: 0 xk: array([ 9.69999996e-01, 2.04799919e+03,
> 1.49000073e-01]) fk: 2.3886847781949838e-13
>
> Parameter values: array([ 9.70000000e-01, 2.04800000e+03,
> 1.49000000e-01])
> Function value: 5.9901622412100428e-25
> Iterations: 1
> Function calls: 3
> Gradient calls: 3
> Hessian calls: 1
> Warning: None
>
>
> k: 3 xk: array([ 9.70000000e-01, 2.04800000e+03, 1.49000000e-01])
> fk: 5.9901622412100428e-25
> Entering sub-algorithm.
>
> Newton minimisation
> ~~~~~~~~~~~~~~~~~~~
> Line search: More and Thuente line search.
> Hessian modification: The Gill, Murray, and Wright modified Cholesky
> algorithm.
>
> k: 0 xk: array([ 9.70000000e-01, 2.04800000e+03,
> 1.49000000e-01]) fk: 5.9901622412100428e-25
>
> Parameter values: array([ 9.70000000e-01, 2.04800000e+03,
> 1.49000000e-01])
> Function value: 1.3932251944754991e-27
> Iterations: 1
> Function calls: 3
> Gradient calls: 3
> Hessian calls: 1
> Warning: None
>
>
> k: 4 xk: array([ 9.70000000e-01, 2.04800000e+03, 1.49000000e-01])
> fk: 1.3932251944754991e-27
> Entering sub-algorithm.
>
> Newton minimisation
> ~~~~~~~~~~~~~~~~~~~
> Line search: More and Thuente line search.
> Hessian modification: The Gill, Murray, and Wright modified Cholesky
> algorithm.
>
> k: 0 xk: array([ 9.70000000e-01, 2.04800000e+03,
> 1.49000000e-01]) fk: 1.3932251944754991e-27
>
> Parameter values: array([ 9.70000000e-01, 2.04800000e+03,
> 1.49000000e-01])
> Function value: 8.3312601381368332e-28
> Iterations: 1
> Function calls: 3
> Gradient calls: 3
> Hessian calls: 1
> Warning: None
>
>
> Parameter values: array([ 9.70000000e-01, 2.04800000e+03,
> 1.49000000e-01])
> Function value: 8.3312601381368332e-28
> Iterations: 22
> Function calls: 91
> Gradient calls: 91
> Hessian calls: 22
> Warning: None
>
> Traceback (most recent call last):
> File "/sw/lib/relax-py25/test_suite/system_tests/model_free.py", line 554,
> in test_opt_constr_newton_gmw_mt_S2_0_970_te_2048_Rex_0_149
> self.value_test(spin, select, s2, te, rex, chi2, iter, f_count, g_count,
> h_count, warning)
> File "/sw/lib/relax-py25/test_suite/system_tests/model_free.py", line 1047,
> in value_test
> self.assertEqual(spin.f_count, f_count, msg=mesg)
> AssertionError: Optimisation failure.
>
> System: Darwin
> Release: 9.6.0
> Version: Darwin Kernel Version 9.6.0: Fri Oct 17 22:38:41 PDT 2008;
> root:xnu-1228.9.56~1/RELEASE_I386
> Win32 version:
> Distribution:
> Architecture: 32bit
> Machine: i386
> Processor: i386
> Python version: 2.5.2
> numpy version: 1.1.1
>
>
> s2: 0.9699999999999994
> te: 2048.0000000000446
> rex: 0.14900000000001609
> chi2: 8.3312601381368332e-28
> iter: 22
> f_count: 91
> g_count: 91
> h_count: 22
> warning: None
>
> ----------------------------------------------------------------------
> Ran 59 tests in 73.014s
>
> FAILED (failures=4, errors=1)
>
>
>
>
> ##############
> # Unit tests #
> ##############
>
>
> testing units...
> ----------------
>
> /sw/lib/relax-py25/test_suite/unit_tests
> ......................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................
> ----------------------------------------------------------------------
> Ran 1046 tests in 12.989s
>
> OK
>
>
>
>
> ###################################
> # Summary of the relax test suite #
> ###################################
>
> System/functional tests
> ............................................................. [ Failed ]
> Unit tests
> .......................................................................... [
> OK ]
> Synopsis
> ............................................................................
> [ Failed ]
>
>
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