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Created with Raphaël 2.2.023Apr12231Mar282724201812117527Feb2625242120191817141312111065431Jan302928272423222120171615141318Dec131018Nov13127628Oct21141110128Sep824Aug191227Jul24231917161598543111Jun105131May282218161329Apr262322218543228Mar27252019151413121110876528Feb27252019183231Jan30282625191817161514121110918Dec124128Nov1417Oct29Sep282019181513729Aug2824231825Jul20171312530Jun292824227431May3011Apr109331Mar282724221711823Feb22Dec10Nov974325Oct241029Sep282728Jul21wider target support for numeric constantsfhennig/more-sy…fhennig/more-sympyuse PsConstant for pi and e; use PsCall for infinityfix infinities[skip-ci] WIP add codegen support for pi, e, and infinitiesMerge reduction user guides into one documentrangersbach/red…rangersbach/reductionsAdd consistency check for PsVecHorizontal in typifierMove kernel AST modifications for reductions to distinct functionMove reduction_op_mapping.pyFix importOmit lanes for match args in PsVecHorizontalAdd check for typed symbols for ReductionAssignment constructorRemove more parts of reduction_assignment_from_strRemove lanes arg from PsVecHorizontalAdd docstring to PsVecHorizontalOmit admonitions from docsGet rid of reduction_assignment_from_strMerge branch 'fhennig/patches-for-lbmpy' into 'v2.0-dev'v2.0-devv2.0-devFix data types in boundary handling. Fix deprecation checks.Merge remote-tracking branch 'origin/rangersbach/reductions' into rangersbach/reductionsWrite howto guide for reductionsExtend test_reduction_gpu with assume_warp_aligned_block_size and use_block_fitting parametersMerge branch 'rangersbach/reductions' of i10git.cs.fau.de:pycodegen/pystencils into rangersbach/reductionsAdapt error messages for reduced assignments in freeze.pyRename compound op mapping funcsAdd minor comment to ReductionInfo dataclassAdapt guards for generated avx512 horizontal opsMove resolution of reductions to concrete gpu platform classesFix lint, typecheckUse NPP library for numeric limits for CUDA, use std limits for HIPTry fixing required headers for cuda and hip for reductionsFix wrong rank being used for obtaining default block sizesFix required headers for cuda/hip platformsAdd missing type fold for loop vectorizer againReformat adapted files [skip ci]Fix typecheckEmploy optimized warp-level reduction based on checkMerge handling for GPU reductions into generic_gpu.py for the time beingMerge branch 'v2.0-dev' into rangersbach/reductionsMerge branch 'fhennig/hip-target' into 'v2.0-dev'HIP Target and Platform