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CoreLangDistribution 2.0 (CLD2)

Status: alpha / public review candidate 56.3
Python package version: 2.0.0a56.post3
Implementation baseline: 2.0.0-alpha50.2 core; alpha56.3 benchmark tooling/profile/docs patch
Generated: 2026-06-07

CLD2 is an experimental cost-aware warm-update distribution planner. It packages versioned content into chunked, range-readable repositories so clients with an existing release/cache can reuse chunks instead of downloading the whole next release.

It is not a new compression algorithm, not a CDN/cloud product, and not a universal replacement for rsync, zsync, casync, OSTree, DVC, Docker/OCI or mature artifact distribution systems.

Support

If CLD2 is useful to you, you can support independent development here:

Buy me a coffee / support me on Ko-fi

Support is optional. CLD2 remains MIT licensed.

Try it in 5 minutes

Requirements:

  • Python 3.10+
  • pip

From a fresh checkout:

python -m pip install -e .
cld2 --version
cld2 selftest
python scripts/verify_release.py --fast
python scripts/smoke_test.py

On Windows, use the same commands from PowerShell if python is on PATH. If your system uses the Python launcher, replace python with py -3.

What this does:

  • installs the local package and the cld2 command;
  • runs the embedded self-test;
  • checks the source tree manifest/import/dist hygiene;
  • runs a tiny demo that creates, compares, fetches and audits two releases, then cleans generated demo artifacts.

For a full release-candidate check, run:

python scripts/verify_release.py

What CLD2 is for

CLD2 is meant to explore update-heavy distribution cases where users already have a previous release/cache and the next release can reuse chunks or objects.

Useful target areas:

  • release/update distribution;
  • object-store based delivery;
  • CI/CD artifacts;
  • game/data/model update workflows;
  • FinOps-style transfer cost analysis;
  • benchmark research against existing tools.

What CLD2 is not

CLD2 is not:

  • a generic compressor;
  • a better zstd/gzip;
  • a proven CDN/cloud product;
  • enterprise-ready;
  • a claim that CLD2 always beats existing tools.

Real benchmark status

Post-alpha56.2.1 real benchmarks found a mixed but useful pattern:

  • strongest positive: AMD RDNA extracted driver payload, where CLD2 fixed-mode warm update was smaller than both full v2 tar.zstd and changed-files tar.zstd;
  • moderate positive: LibreOffice extracted folders, where CLD2 beat full v2 tar.zstd but not changed-files tar.zstd;
  • negative controls: melonDS single-executable releases and SDSS FITS DR11->DR12 did not produce a competitive CLD2 update.

These results support a targeted structured-payload warm-update claim, not a universal updater/compressor claim. See docs/REAL_BENCHMARKS_ALPHA56_3.md, docs/BENCHMARK_CLAIM_BOUNDARY_ALPHA56_3.md, and docs/BENCHMARK_TOOLING_NOTES_ALPHA56_3.md.

Historical validated result

The strongest validated result is still the alpha45.8 same-run comparison against zsync. CLD2 wins clearly in high-reuse cases and is roughly equal in adversarial cases.

Scenario zsync HTTP bytes CLD2 warm bytes Reading
normal 239,827 419 CLD2 clearly lower transfer
high-entropy 67,342,559 67,108,937 roughly equal/adversarial
small-files 3,515,724 2,147 CLD2 clearly lower transfer
heavy-change 27,078,879 26,845,855 roughly equal/heavy-change

See docs/BENCHMARKS.md, docs/BENCHMARK_SUMMARY_UPDATED_ALPHA55.md and docs/CLAIM_BOUNDARY_ALPHA56.md.

User-defined profiles

CLD2 alpha56.3 supports JSON profile files for reusable chunker/codec settings.

Example:

cld2 profile-validate docs/profiles/amd-rdna-extracted-fixed-balanced.json
cld2 pack path/to/release --out release.cldrepo --profile-file docs/profiles/amd-rdna-extracted-fixed-balanced.json --force
cld2 bench-real --old-dir old --new-dir new --out-dir results --profile-file docs/profiles/amd-rdna-extracted-fixed-balanced.json

Built-in examples live in docs/profiles/. Alpha56.3 accepts JSON only and rejects unknown top-level profile keys.

Common commands

cld2 pack INPUT_DIR --out release.cldrepo --release-id demo --release-seq 1 --force
cld2 profile-validate docs/profiles/amd-rdna-extracted-fixed-balanced.json
cld2 inspect release.cldrepo
cld2 verify release.cldrepo --deep
cld2 fetch release.cldrepo --install install_dir --cache cache_dir
cld2 audit-install release.cldrepo --install install_dir
cld2 diff old.cldrepo new.cldrepo --out diff.json

The source checkout can also be used without installation:

python cld2.py selftest
python cld2.py dist-check . --run-selftest
python scripts/smoke_test.py

To keep generated demo releases/install/cache for inspection:

python scripts/smoke_test.py --keep-demo

Repository layout

cld2.py                  CLI entry point
corelangdistribution2/   reference implementation
tests/                   focused regression/self-test coverage
docs/                    public docs, benchmarks and claim boundary
data/                    benchmark matrix data
examples/small_demo/     tiny local demo
scripts/                 smoke, manifest and release verification helpers
.github/workflows/       CI self-test workflow

Public review notes

Alpha56.3 replaces alpha56.2.1 for public review. It fixes benchmark tooling/reporting, adds JSON user-defined profiles, and documents real benchmark results. It does not change the core transfer model.

Important version note: generated .cldrepo manifests may contain an internal repository-format version such as 2.0-alpha24. That is a repository schema version, not the Python package version. The Python package version is the PEP 440 value 2.0.0a56.post3; the core implementation baseline remains 2.0.0-alpha50.2.

License

MIT License. See LICENSE.

Validation status

This candidate is designed to be checked with:

python scripts/verify_release.py

The alpha56.1 predecessor was checked with selftest, dist-check --run-selftest, and scripts/smoke_test.py; see TEST_RESULTS_ALPHA56_1_POLISH.json.

About

CoreLangDistribution 2.0 is an experimental cost-aware update distribution planner using chunking, content reuse, object-store workflows and transparent benchmarks to reduce warm-update transfer in high-reuse release, CI/CD, game, data and model delivery scenarios.

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