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Vector types (SIMD): f32x8, i8x32, f64x4 and the rest; --cpu native
- fNxM / iNxM / uNxM up to 512 bits, as LLVM vectors (<8 x float>): LLVM picks SSE, AVX2, AVX-512 or NEON for them - f32x8(x) in every lane, f32x8(a, ..., h), f32x8(list, i) loads, f32x8(i32x8 v) converts - + - * / and the bit operators lane by lane, with a plain number on either side counting for every lane; v[i], v[i] = x, v.len, == / != (every lane), print and str - methods: sum min max dot abs sqrt floor ceil round fma store; min/max/abs/clamp lane by lane - wide vectors (and structs holding them) are loaded and stored with align 16, what malloc and the stack give - --cpu <name> (and cpu = "..." in finch.toml): native, x86-64-v3, apple-m1, ... - debug info shows vectors; the language server completes their methods; Kate and VS Code highlight them - f32 x = -1.5 works: a minus in front of a float written in the code keeps it such a number Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com> Claude-Session: https://claude.ai/code/session_01Psc42moPLwP43Cmb9oZqSR
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{
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"name": "storage.type.primitive.finch",
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"match": "\\b(int|float|bool|char|str|ptr|map|i8|i16|i32|i64|u8|u16|u32|u64|f32|f64)\\b"
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"match": "\\b(int|float|bool|char|str|ptr|map|i8|i16|i32|i64|u8|u16|u32|u64|f32|f64|[iuf](?:8|16|32|64)x(?:2|4|8|16|32|64))\\b"
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},
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{
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"match": "\\b(print|input|read_file|write_file|file_exists|delete_file|shell|exit|addr|new|free|error|min|max|abs|clamp|assert|atomic_add|atomic_sub|atomic_load|atomic_store|atomic_swap|atomic_cas)\\s*(?=\\()",
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