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icecube / flarestack / 17495033778
73%

Build:
DEFAULT BRANCH: master
Ran 05 Sep 2025 01:56PM UTC
Jobs 3
Files 51
Run time 1min
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05 Sep 2025 01:46PM UTC coverage: 72.874% (-0.5%) from 73.327%
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Use King function for Northern Tracks PSF (#444)

* Use astropy Tables for data everywhere

* Load npz file if present

* Improve cache coherence in NTSeason.simulate_background

Cuts time in Injector.create_dataset() from ~1500 ms to ~600 ms

* CircularGaussian: do not attempt to modify data in-place

* Blacken/isorten following #415

* Use Table for EffectiveAreaInjector

* Annotate factory functions

* Avoid modifying columns in place

* Use instance variables in NorthernTracksKDE

* Normalize KDE PDF to region of interest

* Speed up TableInjector

by a factor ~2 when drawing ~175 events from 11.5e6 MC events across 1000 sources

* Speed up StaticFloor

numpy broadcasting is much faster than a list comprehension

* Cache effective injection time for steady sources

There's no point in calculating this tens of thousands of times, since it's independent of the source for a steady time pdf

* Remove upper bound on n_s

* Squeeze the last bits of fluff out of StdMatrixKDEEnabledLLH.get_spatially_coincident_indices

Unexpected bottlenecks:
- Repeatedly slicing into astropy Tables (overhead from copying units)
- Temporary arrays in ra_dist and angular_distance

* Evaluate SoB for different gammas lazily

Keys appear as before, but values are only evaluated when accessed. Speeds up initialization when gamma is not being fitted.

* Use less accurate (but much faster) angular distance calculation in NorthernTracksKDE

* Annotate PDF factory functions

* HACK: allow StdMatrixKDEEnabledLLH to use CircularGaussian pdf

* Revert "Annotate PDF factory functions"

This reverts commit 9afa53e13.

* Normalize gaussian PDF

* WIP: King function PSF

* chore: annotate BaseInjector

* Allow Season to simulate background only in the source box

* Evaluate energy SoB lazily

* Add log of King PDF

* Add an option to disable energy S/B interpolation

The 2nd-order spline interpolation does not necessarily reflect the normalization of the u... (continued)

4508 of 6186 relevant lines covered (72.87%)

2.19 hits per line

Uncovered Existing Lines

Lines Coverage ∆ File
3
86.96
1.24% utils/catalogue_loader.py
4
96.71
0.0% data/public/icecube/__init__.py
20
71.22
-1.06% data/__init__.py
33
81.74
-0.28% utils/make_SoB_splines.py
34
39.29
7.78% icecube_utils/dataset_loader.py
56
67.14
0.0% core/time_pdf.py
62
69.38
1.33% core/angular_error_modifier.py
95
56.65
-7.21% core/spatial_pdf.py
99
57.41
0.4% core/injector.py
101
86.08
-0.15% core/minimisation.py
132
75.65
-0.51% core/llh.py
Jobs
ID Job ID Ran Files Coverage
1 python3.11 - 17495033778.1 05 Sep 2025 01:57PM UTC 51
72.87
GitHub Action Run
2 python3.12 - 17495033778.2 05 Sep 2025 01:56PM UTC 51
72.81
GitHub Action Run
3 python3.10 - 17495033778.3 05 Sep 2025 01:57PM UTC 51
72.87
GitHub Action Run
Source Files on build 17495033778
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