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Created with Raphaël 2.2.021Oct1918131210765422Sep21131110828Aug272310929Jul2726252315141312817Jun11987643227May26201918171510753226Apr2524212018171615141312111076530Mar271712853128Feb2421171615825Jan2422201816151312965323Dec221916139852129Nov242321201918171514119874323Oct21201930Sep292221201918161514131232131Aug232217161513985432127Jul267130Jun29282726201615141312111098765432125May23131211965419Apr181665432130Mar292423222118A warning should be printed when running against nibabel 2.1.0Add dev suffixMerge branch 'v1.2' into 'v1.2'1.2.2 v1.21.2.2 v1.2Version bumpOnly patch read_segments for nibabel==2.1.0Only patch read_segments for nibabel==2.1.0Tweak requirements a little bitPreparatory version bumpDeprecate isWidgetAlive functionRemoved useless linesilly warning about silly problemExpanded atlases module unit testsSmall tweaks to atlases bitsCI coverage reporting was wrong. Hopefully this will fix it?Doc adjustmentUnit test for find methodLabel atlas image values no longer need to match the index of the labelAtlas mask query methods raise a custom error type if mask is badUnit test for mask query on a prob sumamry image. Fixed test maskAtlas mask query methods raise an error if the provided mask is notNormalise atlas image/summary image pathsRemoved debug lineAdjusted atlas unit testsChange to return values of Atlas query methods. Region volume indices are noSome probabiliistic atlas descriptions refer to probabilistic files with morePost-release version bumpUpdate version.py1.2.11.2.1Merge branch 'master' into 'v1.2'Merge branch 'v1.2' into 'master'Merge branch 'master' into 'master'Fix/expand resample unit testMake sure shapes floatUnit tests and data for atlas mask queryAdjusted atlas mask query routines to be less inaccurateResample method now has a smoothing option, because otherwise interpolationImage class makes sure its header dtype is correct, because this is not doneUnit tests and data for ProbabilisticAtlas.maskProportions methodFixes to ProbabilisticAtlas.maskPropotions method - was not calculatingImage.resample uses scipy.ndimage.affine_transform instead of zoom, becauseImage.resample also returns xform
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