russell@unturf.com
14edb57cd4
C tier is ~10× faster than Python tier on wire orchestration & has the same primitives shipped this session. Python tier still available for development debugging via LUMBDA=python; asm via LUMBDA=asm. Auto-builds the chosen tier (c-build or asm-build) before launching so a fresh clone runs cleanly without 'make c-build && make gpu-worker' two-step. Web page Start-a-GPU-worker subsection updated to match.
293 lines
11 KiB
Makefile
293 lines
11 KiB
Makefile
# ═══════════════════════════════════════════════════════════════════
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# lumbda — Python + C + Assembly implementations
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# ═══════════════════════════════════════════════════════════════════
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#
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# Implementations:
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# Python lumbda.py bytecode VM, full continuations, portal
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# C c/lumbda tree-walker + bytecode VM + x86_64 JIT
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# Assembly asm/lumbda pure x86_64, no libc, 13KB binary
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#
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# Test suites:
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# make test Python unit/integration (571 tests)
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# make c-test C unit/integration + JIT (76 tests) + functional (114)
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# make asm-test Assembly unit/integration/functional (75 tests)
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# make functional-test Shared .lsp suite in Python + C (114 each)
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# make test-all Everything (836 total)
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#
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# Benchmarks (each generates reproducible numbers referenced in the
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# whitepaper; hardware-independent commands, safety envelope built in):
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# make bench Python bench.py (tree-walker vs bytecode VM)
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# make c-bench C unit-level microbenchmarks
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# make bench-3way §6.4: Python vs C vs asm on sum-to/ack
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# make bench-portal §7.5: S-exp/JSON/binary portal save+load timings
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# make bench-portal-cross §7.2: 3x3 cross-impl portal save×load matrix
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# make bench-web §11.3: HTTP benchmark vs busybox + python http.server
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# make bench-rpc-chain §11.4: Py → C relay → asm backend chain timing
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# make bench-proof §8.6: EML proof — Lean 4 vs Lumbda tiers
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# make bench-all run every bench above back to back
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# make friction head-to-head timing: Python vs C vs CPython
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#
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# Other:
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# make examples Run examples in Python + C, compare output
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# make docs Generate architecture diagrams
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# make whitepaper Build PDF whitepaper
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# make clean-all Clean everything
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all: test
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# ─── Python implementation ────────────────────────────────────────
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test:
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python3 tests.py
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test-verbose:
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python3 tests.py -v
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bench:
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python3 bench.py
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bench-verbose:
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python3 bench.py -v
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repl:
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python3 lumbda.py
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lint:
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python3 -m py_compile lumbda.py
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python3 -m py_compile tests.py
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python3 -m py_compile bench.py
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# ─── C implementation ─────────────────────────────────────────────
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c-build:
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$(MAKE) -C c all
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c-test: c-build
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$(MAKE) -C c test
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@echo "── C functional tests (shared .lsp suite) ──"
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./c/lumbda tests/functional.lsp
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c-bench: c-build
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$(MAKE) -C c bench
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c-repl: c-build
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./c/lumbda
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c-clean:
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$(MAKE) -C c clean
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# ─── Assembly implementation ──────────────────────────────────────
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asm-build:
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$(MAKE) -C asm all
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asm-test: asm-build
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$(MAKE) -C asm test
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asm-repl: asm-build
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./asm/lumbda
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asm-clean:
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$(MAKE) -C asm clean
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# ─── All implementations ─────────────────────────────────────────
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functional-test: c-build
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@echo "═══ Shared functional tests (114 tests) ═══"
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@echo "── Python ──"
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@python3 lumbda.py --fast tests/functional.lsp | tail -3
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@echo "── C ──"
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@./c/lumbda tests/functional.lsp | tail -3
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portal-rng-cross-test: c-build asm-build
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@bash tests/portal-rng-cross-test.sh
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zoe-favorites-test: c-build
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@bash tests/zoe-favorites-test.sh
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regression-named-let-leak: c-build
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@bash tests/regression-named-let-leak.sh
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# Fetches Zoë's source live from wedgewack.org, verifies the edits in
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# examples/ursa.lisp.txt reduce to the documented six annotations, runs
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# the suite across tiers, and spot-checks her exact source on asm-full
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# with a 10-line stubs prelude. See tests/prove-ursa-runs.sh for the
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# full chain. Needs a network connection; `make zoe-favorites-test`
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# covers the offline case.
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prove-ursa-runs: c-build
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@bash tests/prove-ursa-runs.sh
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test-all: test c-test asm-test functional-test portal-rng-cross-test zoe-favorites-test regression-named-let-leak
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@echo "════════════════════════════════════════════════════"
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@echo "All tests passed (Python + C + Assembly + functional + portal-rng-cross + zoe-favorites)"
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# ─── Benchmarks (reproducible; referenced in whitepaper §6–§11) ───
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bench-3way: c-build asm-build
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@bash tests/bench-3way.sh
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bench-portal: c-build asm-build
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@bash tests/portal-benchmark.sh
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bench-portal-cross: c-build asm-build
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@bash tests/portal-cross-test.sh
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bench-web: c-build asm-build
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@bash tests/web-benchmark.sh
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bench-rpc-chain: c-build asm-build
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@bash tests/rpc-chain-bench.sh
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bench-proof: c-build asm-build
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@bash tests/bench-proof.sh
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bench-hashset: asm-build
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@bash tests/bench-hashset.sh
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bench-gc: asm-build
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@bash tests/bench-gc-memory.sh
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bench-gc-arena: asm-build
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@bash tests/bench-gc-arena.sh
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bench-gc-adaptive: asm-build
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@bash tests/bench-gc-adaptive.sh
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bench-gc-http: asm-build
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@bash tests/bench-gc-http.sh
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bench-lumbda-www: asm-build
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@bash tests/bench-lumbda-www.sh
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bench-www-race: asm-build
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@bash tests/bench-www-race.sh
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bench-all: bench c-bench bench-3way bench-portal bench-portal-cross bench-web bench-rpc-chain bench-proof
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@echo "═══════════════════════════════════════════════════════════"
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@echo "All benchmarks complete. Numbers in the whitepaper §6.4,"
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@echo "§7.2, §7.5, §11.3, §11.4 are reproducible from these targets."
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# ─── Examples ─────────────────────────────────────────────────────
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examples: c-build
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@echo "═══ fibonacci.lsp ═══"
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@echo "--- Python ---" && python3 lumbda.py --fast examples/fibonacci.lsp
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@echo "--- C ---" && ./c/lumbda examples/fibonacci.lsp
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@echo
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@echo "═══ mergesort.lsp ═══"
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@echo "--- Python ---" && python3 lumbda.py --fast examples/mergesort.lsp
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@echo "--- C ---" && ./c/lumbda examples/mergesort.lsp
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@echo
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@echo "═══ objects.lsp ═══"
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@echo "--- Python ---" && python3 lumbda.py examples/objects.lsp
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@echo "--- C ---" && ./c/lumbda examples/objects.lsp
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# ─── Friction benchmark ──────────────────────────────────────────
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friction: c-build asm-build
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bash friction.sh
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# ─── GPU worker (bend primitive) ─────────────────────────────────
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#
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# Builds the cuda-fanout leaf binary & launches gpu-worker.lsp on
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# port 9091 (override via PORT=NNNN). Client tier choice via
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# LUMBDA=python|c|asm (default python). Once running, any tier can
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# (bend …) to it from the same host or another LAN host.
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GPU_WORKER_DIR := examples/cuda-fanout
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PORT ?= 9091
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LUMBDA ?= c
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gpu-worker-bin:
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$(MAKE) -C $(GPU_WORKER_DIR) shake256-fanout
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gpu-worker: gpu-worker-bin
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@echo "→ launching gpu-worker.lsp on port $(PORT) ($(LUMBDA) tier)"
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@printf '(load "wire.lsp")\n(load "gpu-worker.lsp")\n(main)\n' > $(GPU_WORKER_DIR)/launch.lsp
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ifeq ($(LUMBDA),c)
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$(MAKE) c-build
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cd $(GPU_WORKER_DIR) && ../../c/lumbda launch.lsp --port $(PORT)
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else ifeq ($(LUMBDA),python)
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cd $(GPU_WORKER_DIR) && python3 -u ../../lumbda.py launch.lsp --port $(PORT)
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else ifeq ($(LUMBDA),asm)
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$(MAKE) asm-build
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cd $(GPU_WORKER_DIR) && ../../asm/lumbda-gc launch.lsp --port $(PORT)
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else
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@echo "LUMBDA=$(LUMBDA) — expected c | python | asm"; exit 2
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endif
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gpu-worker-test: gpu-worker-bin
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$(MAKE) -C $(GPU_WORKER_DIR) test
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# ─── Documentation ────────────────────────────────────────────────
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DOT_FILES := $(wildcard docs/*.dot)
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DOT_PNGS := $(DOT_FILES:.dot=.png)
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docs: $(DOT_PNGS)
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docs/%.png: docs/%.dot
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dot -Tpng $< -o $@
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# ─── Whitepaper ───────────────────────────────────────────────────
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VENV := whitepaper/.venv
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RST := whitepaper/lumbda-whitepaper.rst
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PDF := whitepaper/lumbda-whitepaper.pdf
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HTML := whitepaper/lumbda-whitepaper.html
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STYLE := whitepaper/whitepaper.style
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$(VENV)/bin/rst2pdf:
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python3 -m venv $(VENV)
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$(VENV)/bin/pip install --upgrade pip
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$(VENV)/bin/pip install rst2pdf docutils
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whitepaper: $(PDF) $(HTML)
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whitepaper-pdf: $(PDF)
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whitepaper-html: $(HTML)
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$(PDF): $(RST) $(STYLE) $(VENV)/bin/rst2pdf
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cd whitepaper && ../$(<D)/.venv/bin/rst2pdf \
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-s whitepaper.style \
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--fit-background-mode=scale \
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lumbda-whitepaper.rst \
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-o lumbda-whitepaper.pdf
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@ln -sf lumbda-whitepaper.pdf whitepaper/WHITEPAPER.pdf
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@echo "Built: $(PDF)"
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# HTML whitepaper: single self-contained file with embedded stylesheet
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# plus an uncloseai.js module script (matches lumbda.com front door).
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$(HTML): $(RST) $(VENV)/bin/rst2pdf
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@DOCUTILS_CSS="$$(cd whitepaper/.venv/lib/python*/site-packages/docutils/writers/html5_polyglot && pwd)"; \
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cd whitepaper && ../$(<D)/.venv/bin/rst2html5 \
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--embed-stylesheet \
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--stylesheet="$$DOCUTILS_CSS/minimal.css,$$DOCUTILS_CSS/responsive.css" \
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lumbda-whitepaper.rst \
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lumbda-whitepaper.html
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@sed -i 's|</head>|<script src="https://uncloseai.com/uncloseai.js" type="module"></script>\n</head>|' $(HTML)
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@sed -i 's|<title>lumbda-whitepaper.rst</title>|<title>Lumbda whitepaper — feedback as a primitive</title>|' $(HTML)
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@python3 whitepaper/embed-images.py $(HTML)
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@python3 whitepaper/inject-whitepaper-css.py $(HTML) \
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www/fonts/chunkfive/chunkfive-regular-webfont.woff2
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@echo "Built: $(HTML)"
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# ─── Clean ────────────────────────────────────────────────────────
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clean:
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rm -rf __pycache__ *.pyc
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clean-whitepaper:
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rm -rf $(VENV) $(PDF) whitepaper/WHITEPAPER.pdf
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clean-docs:
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rm -f docs/*.png
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clean-all: clean clean-whitepaper clean-docs c-clean asm-clean
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.PHONY: all test test-verbose bench bench-verbose repl lint \
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c-build c-test c-bench c-repl c-clean \
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asm-build asm-test asm-repl asm-clean \
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test-all bench-all examples friction functional-test portal-rng-cross-test \
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bench-3way bench-portal bench-portal-cross bench-web bench-rpc-chain bench-proof \
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gpu-worker gpu-worker-bin gpu-worker-test \
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docs whitepaper clean clean-whitepaper clean-docs clean-all
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