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Created with Raphaël 2.2.029Jun2726191411109820May12102119Apr7517Mar163115Feb23Jan1613121127Dec26241625Nov241776229Oct272422201918171511524Sep2220430Aug29262416121121Jul2017161476130Jun2928272524222120181716151413121110111098742129May2827262221205Add ArrayContext.freeze_thawClean up array and container type annotationsBump Python compat target to 3.8Expose types for subpackages in package rootSupport empty containers in `array_equal` (#182)split dataclass_array_container for easier modificationrearrange jax.fake_numpy to match other contextsupdate numpy coverageadvertise jax support a bit morefilter out unavailable pytest actx factoriesMake name of doc build flag more global, explainadded check for not checking strides of 0-sized arraysAdd type annotationf for _freeze_prg_cache, _dag_transform_cacheAdd compile_trace_callback to pytato array contextsAdd tag_axesMake typing in ArrayContext more precise using TypeVarsport deprecated uses of freeze and thawAdd comment to warn against early exits from freezeUse NameHint/PrefixNamed to generate better kernel names in pytato freezeArray identifiers in pytato freezes: use "_ary", not "_actx"Simplification: do not exit early out of freeze for 0-size arraysCI: modernize the freezes on DOFArraysto_numpy: thaw(freeze(...)) firstrestructure the way 'freeze' is implemented. Move the major bits to `ArrayContext.freeze`Rewrite actx.NameHint to pytato.PrefixNamed when taggingEinsum array argument naming: Use NameHintAdd NameHint tagPass name of function being compiled to pt.generate_{jax,loopy}Log function name in passes of actx.compileAdd folds in arraycontext.impl.pytatoDeprecate passing unevaluated arrays to compiled functionsDrop xfail in test_flatten_array_containerFix Jax installation on Gitlab CIStop setting PY_EXE in Gitlab CI configGeneralize Pytato Array Context to allow multiple targetstest JAXArrayContextCI: adds jax to requirementsdefines JAXArrayContextclean up downstream testsgitlab-ci: remove EXTRA_INSTALL exports