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Created with Raphaël 2.2.022Aug218722Jul1412111027Jun1130May16131082129Apr4318Mar15727Feb26232214108Jan29Nov13109628Sep2021531Aug1527Jul262013514Jun9May5330Apr282713121176522Mar21201614132128Feb272414131210876230Jan262420181716323Dec131287522Nov211817168742131Oct292825232120191814131029Sep231296522Aug1716151211109728Jun272524201715141030May2923191716141021Apr431Mar30221410987125Feb1715111098754226Jan241817141312113Dec30Nov29122Oct2113118723Sep1413109863227AugApply 1 suggestion(s) to 1 file(s)emcee_speedup_p…emcee_speedup_patchAdd Chentao Yang to AUTHORS.mdemcee.py: run blackUpdate emcee.pyFEAT: enable caching to be disabled in hyper.model.ModelmastermasterMAINT: Add py312 tests and bump default test versionMAINT: drop py39 supportDocumentation: Fix Rendering of Sphinx Text for Whitening FunctionsAdd identity conversion and generation functionsENH: Add template-template inner product to InterferometerAdd informative error messages in ROQ likelihoodENH: Add whitened TD strain as a property of the InterferometerCI fixesMAINT: simplify the healpix distance pdf callMAINT: suppress dynesty warningCatch error if trying to load zero bytes resume fileApply blackcatch_zero_byte…catch_zero_bytes_fileUpdate sampler.py: don't read state from 0 bytes resume fileUpdate ptemcee.py: require resume file to not be zero bytesUpdate kombine.py: resume file must not be an empty fileUpdate emcee.py: don't try loading checkpoint file it is has zero sizeUpdate dynesty.py: catch error if trying to load zero bytes resume fileBUGFIX: fix likelihood automatic timingMAINT: pin some versionsDOC: Adding missing citations in citation guideHealPixMapPriorDist Redundancy FixFEAT: Added flag to skip constraint normalization during samplingCHANGELOG: update for v2.3.0BUG: Fix custom prior loading from result fileMAINT: fixes for numpy>=2ENH: add `get_expected_outputs` to sampler classesCHANGELOG: add unrealesed changes and URLs for releases >1.0Distinguish bilby native samplersENV: fix conda-forge name for myst-parserBUG: Fix indent error in compute_snrsDOC: Updates to contribution guideBLD: require arviz uses conda-forge channelBLD: add pytorch cpuonly to containersMAINT: Separate adding SNRs per IFO to a sample into a new functionBUG: fix Pymc sampler import