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Created with Raphaël 2.2.029Nov282726252422212015141312118765432128Oct262524232221201917161514131211109876543129Sep272625242322191817161513121110987654331Aug302928272625222120191715141312109876ezligolw.c:gstlal_inspiral_plot_snr: add plot for snr and template autocorrelationsvd_bank_snr.py:gstlal_ll_inspiral_event_uploader: format nth event in logs with ordinal ranking, some formattinggstlal_ll_inspiral_event_uploader: modify logging messages, fix issue causing a crash when multiple candidates per event are uploadedgstlal_ll_inspiral_event_uploader: fix some event processing logic, fix typos, add logging messagescs_triggergen: fix 3-detector-specific problems.gitlab-ci.yml: ensure public dir is created in pages job.gitlab-ci.yml: skip over saving results docsCS: codes to get FARs, rate_vs_thresh & sensitivity plotsstring_meas_likelihood: use rankstat numerator from injectionsstringutils, string_lr_far: modify SNR&chi^2 PDFstring triggergen: no injections to rankstat denominator.gitlab-ci.yml: run offline test with a single core to avoid memory issuesMakefile.offline_tutorial_test: modify gstlal_inspiral target to correctly handle multiple outputs.gitlab-ci.yml: disable offline tutorial artifacts.gitlab-ci.yml: run offline test with 2 cores, disable plotting/summary jobsMakefile.offline_tutorial_test: optionally disable plotting/summaryfar.py: make extinction threshold explicit in event count only above 1e5 countsSome bug fixes to gstlal_compute_strain, calibhandler.py, and gstlal_calibration_aggregatorinspiral_lr.py: modify OnlineFrankenstein's splice() method to make a copy rather than create a new class to avoid memory issuesinspiral_lr.py: modify LnSignalDensity.copy() to not instantiate a new class which has memory usage implicationsgstlal_compute_strain: Added in resampler so metrics are dumped at lower sample rategstlal_ll_inspiral_event_uploader: fix remaining runtime issues with uploading an eventgstlal_ll_inspiral_event_uploader: fix remaining runtime issues with uploading an eventAdd request_memory optiongstlal_inspiral_mass_model: Increase fudge factor in chirp mass binningrelaxed d2 limitsinspiral.py: serialize psd before sending via kafkagstlal_inspiral: unlink and delete xmldoc ref after opening ranking stat filegstlal_inspiral: use context manager to open activation counts filegstlal_inspiral: fix smrepair call to only repair shared memory partitions for selected ifosgstlal_inspiral: fix smrepair call to only repair shared memory partitions for selected ifosinspiral.py: serialize psd before sending via kafkalloidparts.py: remove queue between appsink and itacacinspiral_lr.py: modify OnlineFrankenstein's splice() method to make a copy rather than create a new class to avoid memory issuesinspiral_lr.py: modify LnSignalDensity.copy() to not instantiate a new class which has memory usage implicationsgstlal_inspiral: unlink and delete xmldoc ref after opening ranking stat filegstlal_inspiral: use context manager to open activation counts filemetric_overlap: fixed output indices so overlaps aren't overwritten