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Created with Raphaël 2.2.04Aug329Jul28262524201918161513121110987642130Jun29232221953226May2524232120181312119542125Apr23212019181387654229Mar28272622211715141312109862127Feb2423221715106531Jan3025242322212030Dec29252423222119181615141312111098765432130Nov292827262523222120191817161514121110add preliminary ispc supportadd to requirementsadd dependuse codepy for build system to enable cachingremove old execution.pyMerge branch 'master' of https://gitlab.tiker.net/inducer/loopy into c_executionMerge branch 'literal-local-barriers' into 'master'Fix scheduler for incremental scheduling of literal local barriers.Make sure all Barrier schedule items have originating_insn_idliteral-local-b…literal-local-barriersMake a way to spell literal local barriersAdd comment to explain make_tuple avoidance hack [ci skip]Merge branch 'remove-numpy-dtypes-from-argextfunction-and-segmentedfunction' into 'master'Fortran: Support for else ifFortran: support both length and kindFix invalid escapes in regexes by using raw stringsMerge branch 'master' of ssh://gitlab.tiker.net/inducer/loopyUse pytools.MinRecursionLimit to increase recursion limitMerge branch 'fix-warning-in-get-priority-tiers' into 'master'Fix a 'threw StopIteration' warning in get_priority_tiersAdd a name attribute to ReductionOpFunction.Undo changes to type inference. They were not needed.Undo changes to preprocess. They were not needed.Be less strict about data types in tuples / reductions.Merge branch 'master' into remove-numpy-dtypes-from-argextfunction-and-segmentedfunctionMerge branch 'master' of ssh://gitlab.tiker.net/inducer/loopyImprove sized-complex error messageMerge branch 'preprocess-kernel-before-building-cache-key' into 'master'Merge branch 'preschedule-fixes' into 'master'Update description of preschedule to clarify that items in theRemove tuple.pyPlacate flake8 in array.pyScheduler: Remove a heuristic intended to force inames to be scheduledPacify flake8.Move complicated argmin test inside test_loopy to reduce the chance of a merge conflict.Type inference for reduction: Make sure reduction arg types have aFix dtype getting for reduction mangler.Tuple private scalar assignment hack: Skip make_tuple().test_nested_scan(): Declare the dtype of tmp (I think it's fair that it fails without this.)Change tuple assignment to be implemented directly by the code generator,Fix TemporaryVariable.update_persistent_hash() to handle storage