spcl/dace: DaCe 0.11.1

What's Changed More flexible Python frontend: you can now call functions and object methods, use fields and globals in @dace programs! Some examples: There is no need to annotate called functions @dataclass and general object field support Loop unrolling: implicit and explicit (with the dace.unroll generator) Constant folding and explicit constant arguments (with dace.constant as a type hint) Debuggability: all functions (e.g. dace.map, dace.tasklet) work in pure Python as well and many more features NumPy semantics are followed more closely, e.g., subscripts create array views Direct CuPy and torch.tensor integration in @dace program arguments Auto-optimization (preview): use @dace.program(auto_optimize=True, device=dace.DeviceType.CPU) to automatically run some transformations, such as turning loops into parallel maps. ARM SVE code generation support by @sscholbe (#705) Support for MLIR tasklets by @Berke-Ates in (#747) Source Mapping by @benibenj in https://github.com/spcl/dace/pull/756 Support for HBM on Xilinx FPGAs by @jnice-81 (#762) Miscellaneous: Various performance optimizations to calling @dace programs Various bug fixes to transformations, code generator, and frontends Full Changelog: https://github.com/spcl/dace/compare/v0.10.8...v0.11.