openbraininstitute / libsonata
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master: 93%

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coverage: 92.975% (+0.1%) from 92.87%
29031144424

Pull #56

github

cattabiani 
Use 4 MB budget for block gap limit, scaled by row width
Pull Request #56: Add ElectrodeReader for SONATA electrode weight files

199 of 211 new or added lines in 1 file covered. (94.31%)

2713 of 2918 relevant lines covered (92.97%)

49.09 hits per line

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2918 RELEVANT LINES 2713 COVERED LINES
49.09 HITS PER LINE
Source Files on katta/electrode-reader

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Builds Branch Commit Type Ran Committer Via Coverage
29031144424 katta/electrode-reader Use 4 MB budget for block gap limit, scaled by row width Pull #56 cattabiani github
92.97
29024289943 katta/electrode-reader Merge branch 'master' into katta/electrode-reader Pull #56 cattabiani github
92.97
29024241285 katta/electrode-reader Rename column_index → electrode_id to match spec terminology push cattabiani github
92.97
29013228963 katta/electrode-reader Fix docstrings.h ordering to match CI-generated alphabetical order Pull #56 cattabiani github
92.97
29009708706 katta/electrode-reader Address review: rename ElectrodeDataFrame, simplify I/O, harden validation - Rename ElectrodeDataFrame → ElectrodeScalingFactors (avoids confusion with report DataFrame and pandas) - Use Path directly in Python test (no str() needed) - Store el... Pull #56 cattabiani github
92.97
28950999657 katta/electrode-reader Merge branch 'master' into katta/electrode-reader Pull #56 cattabiani github
92.9
28925787912 katta/electrode-reader Merge branch 'katta/ci-macos-check' into katta/electrode-reader Pull #56 cattabiani github
92.92
28789835907 katta/electrode-reader format Pull #56 cattabiani github
92.92
28789261340 katta/electrode-reader Use double for ElectrodeDataFrame::data (matches spec float64) The SONATA spec defines scaling_factors as float64. Storing as double avoids precision loss and removes the static_cast. Pull #56 cattabiani github
92.92
28788916690 katta/electrode-reader Use flat buffer in readAndScatter (avoid per-row allocations) Read HDF5 block into a single contiguous std::vector<double> via read_raw() instead of nested vector<vector<double>>. Eliminates millions of heap allocations for large datasets. Pull #56 cattabiani github
92.92
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