knex-0001: Migrator#rollback({all:true}) and Migrator#down() filter
allMigrations against completed via .map(name).includes() inside the
filter callback. Per-iter array allocation + linear scan = O(A*C)
real, O(A*C^2) amortized including GC. Fix: hoist Set<name> once,
Set#has = O(1). Bench: 355x at A=C=2000 migrations.
wave6-docgen-webfw-tui-survey.md: 38-target scan covering doc gens
(Sphinx, JSDoc, TypeDoc, Doxygen, MkDocs, Hugo, Jekyll, Gatsby,
Eleventy, Astro), web frameworks (Fastify, Express, Koa, hapi,
SvelteKit, Nuxt, Remix), TUI/CLI (Cobra, Click, Commander.js, Yargs,
Bubble Tea, Ratatui), migrations (Flyway, Goose, dbmate, Knex,
Sqitch, Atlas), search engines (Tantivy, MeiliSearch, Typesense),
API gateways (Kong, APISIX), MQTT/queue brokers (Mosquitto, EMQX,
VerneMQ, ZeroMQ).
Clean-scan honor roll +3: Bubble Tea, dbmate, libzmq.
19 lines
707 B
Python
19 lines
707 B
Python
#!/usr/bin/env python3
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import importlib.util, os, sys
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BENCH_DIR = os.path.dirname(os.path.abspath(__file__))
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def load_module(filename):
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path = os.path.join(BENCH_DIR, filename)
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spec = importlib.util.spec_from_file_location("mod", path)
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mod = importlib.util.module_from_spec(spec)
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spec.loader.exec_module(mod)
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return mod
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all_lines = []
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for fname in ["bench-knex-0001.py"]:
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mod = load_module(fname)
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lines = mod.run()
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all_lines.extend(lines); all_lines.append("")
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print(); sys.stdout.flush()
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out_path = os.path.join(BENCH_DIR, "results.txt")
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with open(out_path, "w") as f:
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f.write("\n".join(all_lines) + "\n")
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print(f"results written to {out_path}"); sys.stdout.flush()
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