NumCosmo / NumCosmo / 6788965542
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Jobs 1
Files 414
Run time 4min
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coverage: 53.227% (+2.0%) from 51.227%
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Improving documentation and encapsulating objects (#116)

* Now MPI jobs do not require setting nthreads.
* Using per rank fftw wisdom.
* Documenting NcmFitESMCMC.
* More documentation for BAO data objects.
* More docs for BAO and NcDataClusterNCount.
* More documentation for Fit* objects and Monte Carlo analysis object.
* Updated and encapsulated NcmFit and all depending objects.
* Moving examples to tests.
* Fixed test name and Makefiles.
* Moving example_diff.py -> ../tests/test_py_diff.py.
* Encapsulated FitState and updated all required objects.
* More tests for NcmFitState.
* Fixed possible negative precision.
* Excluing impossible lines from coverage.
* Included levmar in unit testing.
* Fixed bug in levmar and gsl_mm.
* Testing serialization of NcmFit.
* Removed old analytical derivative support.
* Removed last link on the analytical derivative support.
* Testing fit restart.
* More testing for NcmFit and documentation for NcmMSet.
* Fixed bug in fit_levmar, more testing for sub fits.
* Fixed bug in accurate grad (missing matrix transposition).
* More testing, fixed sub fit testing.
* Added missing reset states in _gsl_mms.
* Improved sub-vector manipulation and added necessary tests.
* Added equality constraint tests.
* Adding testing for inequality constraints.
* Testing constraints serialization.
* Adjusted diff to use a better estimate when errors cannot be estimated.
* Improving diff computation when never converging.
* Organized fisher.
* Testing Fisher matrix and covariances.
* Removing old unused methods.
* Removed option to print fisher matrix to file.

8685 of 20650 branches covered (0.0%)

Branch coverage included in aggregate %.

1965 of 2595 new or added lines in 62 files covered. (75.72%)

220 existing lines in 35 files now uncovered.

44251 of 78804 relevant lines covered (56.15%)

2963371.02 hits per line

New Missed Lines in Diff

Lines Coverage ∆ File
1
74.79
 0.43% numcosmo/data/nc_data_bao_a.c
1
0.0
 numcosmo/math/ncm_fit_esmcmc_walker_walk.h
1
89.39
 82.91% numcosmo/math/ncm_fit_levmar.c
1
0.0
 numcosmo/math/ncm_fit_mc.h
1
0.0
 numcosmo/math/ncm_fit_mcbs.h
1
0.0
 numcosmo/math/ncm_fit_mcmc.h
1
0.0
 numcosmo/math/ncm_lh_ratio1d.h
1
0.0
 numcosmo/math/ncm_lh_ratio2d.h
2
15.97
 0.58% numcosmo/data/nc_data_bao_dv.c
2
57.78
 0.96% numcosmo/data/nc_data_bao_dvdv.c
2
83.9
 13.99% numcosmo/math/ncm_fit_gsl_mm.c
2
81.2
 10.08% numcosmo/math/ncm_fit_gsl_mms.c
2
65.04
 2.97% numcosmo/math/ncm_mset.c
3
0.0
 0.0% numcosmo/data/nc_data_bao.c
3
13.64
 0.48% numcosmo/data/nc_data_bao_empirical_fit.c
3
62.94
 0.44% numcosmo/data/nc_data_bao_rdv.c
3
80.28
 32.29% numcosmo/math/ncm_fit_nlopt.c
3
44.98
 0.59% numcosmo/math/ncm_mpi_job_mcmc.c
4
14.62
 0.55% numcosmo/data/nc_data_bao_dhr_dar.c
4
14.18
 0.54% numcosmo/data/nc_data_bao_dtr_dhr.c
4
82.43
 11.93% numcosmo/math/ncm_fit_gsl_ls.c
4
17.13
 0.18% numcosmo/math/ncm_mpi_job_feval.c
5
14.6
 0.52% numcosmo/data/nc_data_bao_dmr_hr.c
5
11.86
 0.44% numcosmo/data/nc_data_bao_empirical_fit_2d.c
5
81.2
 -1.68% numcosmo/math/ncm_fit_esmcmc_walker_apes.c
7
2.21
 0.05% numcosmo/math/ncm_csq1d.c
7
9.36
 0.31% numcosmo/math/ncm_data_poisson.c
8
1.95
 0.1% numcosmo/math/ncm_abc.c
8
42.25
 -1.08% numcosmo/math/ncm_fftlog_sbessel_jljm.c
8
50.99
 7.78% numcosmo/math/ncm_likelihood.c
11
26.83
 1.19% numcosmo/math/ncm_mset_func1.c
24
16.67
 0.19% numcosmo/math/ncm_mpi_job_fit.c
36
46.59
 0.1% numcosmo/math/ncm_fit_esmcmc.c
40
8.24
 0.21% numcosmo/math/ncm_fit_mcbs.c
56
4.32
 0.16% numcosmo/math/ncm_lh_ratio1d.c
79
3.25
 0.11% numcosmo/math/ncm_fit_mcmc.c
80
3.17
 0.07% numcosmo/math/ncm_fit_mc.c
94
3.03
 0.08% numcosmo/math/ncm_lh_ratio2d.c
108
78.07
 37.49% numcosmo/math/ncm_fit.c

Uncovered Existing Lines

Lines Coverage ∆ File
1
74.79
 0.43% numcosmo/data/nc_data_bao_a.c
1
97.89
 0.44% numcosmo/math/ncm_diff.c
1
55.12
 -0.7% numcosmo/math/ncm_fit_esmcmc_walker_stretch.c
1
44.98
 0.59% numcosmo/math/ncm_mpi_job_mcmc.c
1
72.01
 -0.37% numcosmo/math/ncm_ode_spline.c
1
95.5
 -0.43% numcosmo/math/ncm_stats_dist1d_epdf.c
1
80.14
 -0.15% numcosmo/math/ncm_vector.c
2
0.0
 0.0% numcosmo/data/nc_data_bao.c
2
57.78
 0.96% numcosmo/data/nc_data_bao_dvdv.c
2
17.13
 0.18% numcosmo/math/ncm_mpi_job_feval.c
2
79.9
 -1.35% numcosmo/math/ncm_reparam.c
3
62.94
 0.44% numcosmo/data/nc_data_bao_rdv.c
3
89.39
 82.91% numcosmo/math/ncm_fit_levmar.c
3
16.67
 0.19% numcosmo/math/ncm_mpi_job_fit.c
3
26.83
 1.19% numcosmo/math/ncm_mset_func1.c
3
92.06
 -0.48% tests/test_ncm_diff.c
3
89.83
 -0.87% tests/test_ncm_sf_spherical_harmonics.c
4
14.62
 0.55% numcosmo/data/nc_data_bao_dhr_dar.c
4
14.6
 0.52% numcosmo/data/nc_data_bao_dmr_hr.c
4
14.18
 0.54% numcosmo/data/nc_data_bao_dtr_dhr.c
4
81.2
 -1.68% numcosmo/math/ncm_fit_esmcmc_walker_apes.c
4
82.43
 11.93% numcosmo/math/ncm_fit_gsl_ls.c
4
50.99
 7.78% numcosmo/math/ncm_likelihood.c
5
15.97
 0.58% numcosmo/data/nc_data_bao_dv.c
5
83.9
 13.99% numcosmo/math/ncm_fit_gsl_mm.c
6
13.64
 0.48% numcosmo/data/nc_data_bao_empirical_fit.c
6
42.25
 -1.08% numcosmo/math/ncm_fftlog_sbessel_jljm.c
8
81.2
 10.08% numcosmo/math/ncm_fit_gsl_mms.c
8
8.24
 0.21% numcosmo/math/ncm_fit_mcbs.c
8
80.28
 32.29% numcosmo/math/ncm_fit_nlopt.c
9
78.07
 37.49% numcosmo/math/ncm_fit.c
18
3.17
 0.07% numcosmo/math/ncm_fit_mc.c
22
3.25
 0.11% numcosmo/math/ncm_fit_mcmc.c
26
4.32
 0.16% numcosmo/math/ncm_lh_ratio1d.c
42
3.03
 0.08% numcosmo/math/ncm_lh_ratio2d.c
Jobs
ID Job ID Ran Files Coverage
1 6788965542.1 1174
51.48
 GitHub Action Run
Source Files on build 6788965542