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v0.6.5: mypy clean, test imports fixed, API consistency
- Fixed 8 mypy errors across decode_mmap.py, decoder_pool.py, belief_matching.py - Fixed test_comprehensive_suite.py import path for new v0.6.4+ APIs - PredecodedDecoder backend validation accepts canonical 'union_find' - Version bump to 0.6.5 across all metadata (Cargo.toml, pyproject.toml, __init__.py, CITATION.cff, codemeta.json) - CHANGELOG.md updated
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CHANGELOG.md

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@@ -7,6 +7,17 @@ environment so report figures trace back to a specific build.
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## [Unreleased]
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## [0.6.5] - 2026-07-10
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### Fixed
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- **mypy clean**: Resolved all 8 type errors across `decode_mmap.py`, `decoder_pool.py`, and `belief_matching.py` — strict type checking now passes on the full Python layer.
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- **Test imports**: `test_comprehensive_suite.py` now correctly imports `DecoderPool`, `get_decoder`, `clear_decoder_cache`, `get_decoder_pool` from the local source.
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- **CI resilience**: Ensured v0.6.5 Python layer matches the Rust source — no more version skew between wheel metadata and runtime API.
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- **API consistency**: Fixed `PredecodedDecoder` backend validation to accept `"union_find"` (with underscore) matching the canonical decoder names.
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### Changed
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- Bumped package, crate, runtime fallback, citation, and metadata versions to `0.6.5` across `pyproject.toml`, `Cargo.toml`, `python/qector_decoder_v3/__init__.py`, `CITATION.cff`, `codemeta.json`, `README.md`, `PYPI_README.md`, docs, and examples.
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## [0.6.4] - 2026-07-10
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### Fixed

CITATION.cff

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@@ -6,7 +6,7 @@ authors:
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- family-names: Lessard
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given-names: Guillaume
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affiliation: iD01t Productions
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version: 0.6.4
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version: 0.6.5
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date-released: 2026-07-10
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url: https://www.qector.store
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repository-code: https://github.com/GuillaumeLessard/qector-decoder

Cargo.lock

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Cargo.toml

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[package]
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name = "qector_decoder_v3"
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version = "0.6.4"
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version = "0.6.5"
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edition = "2021"
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authors = ["Guillaume Lessard / iD01t Productions <guiliguili2705@gmail.com>"]
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description = "Source-available Rust QEC decoder core (Union-Find, exact polynomial MWPM/Blossom, Sparse Blossom, BP-OSD) with CPU/CUDA/OpenCL batch decoding and PyO3 bindings"

codemeta.json

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{"@context":"https://doi.org/10.5063/schema/codemeta-2.0","@type":"SoftwareSourceCode","name":"QECTOR Decoder v3","version":"0.6.4","description":"Source-available Rust and Python quantum error correction decoder package for QEC research, PyMatching-compatible validation, belief-matching, BP-OSD and qLDPC workflows, CPU/GPU batch decoding, and reproducible benchmark evidence.","codeRepository":"https://github.com/GuillaumeLessard/qector-decoder","url":"https://www.qector.store","downloadUrl":"https://pypi.org/project/qector-decoder-v3/","identifier":"https://doi.org/10.5281/zenodo.20825980","license":"https://www.qector.store/license.html","programmingLanguage":["Python","Rust"],"runtimePlatform":["CPython 3.9","CPython 3.10","CPython 3.11","CPython 3.12","CPython 3.13","Linux x86_64","Windows x64","macOS arm64"],"keywords":["quantum error correction","QEC","quantum computing","quantum decoder","MWPM","PyMatching","Stim","Sinter","LDPC","qLDPC","BP-OSD","belief matching","union find decoder","surface code","Rust","Python","PyO3","maturin","QECTOR"],"author":{"@type":"Person","givenName":"Guillaume","familyName":"Lessard","affiliation":"iD01t Productions"},"publisher":{"@type":"Organization","name":"iD01t Productions"}}
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{"@context":"https://doi.org/10.5063/schema/codemeta-2.0","@type":"SoftwareSourceCode","name":"QECTOR Decoder v3","version":"0.6.5","description":"Source-available Rust and Python quantum error correction decoder package for QEC research, PyMatching-compatible validation, belief-matching, BP-OSD and qLDPC workflows, CPU/GPU batch decoding, and reproducible benchmark evidence.","codeRepository":"https://github.com/GuillaumeLessard/qector-decoder","url":"https://www.qector.store","downloadUrl":"https://pypi.org/project/qector-decoder-v3/","identifier":"https://doi.org/10.5281/zenodo.20825980","license":"https://www.qector.store/license.html","programmingLanguage":["Python","Rust"],"runtimePlatform":["CPython 3.9","CPython 3.10","CPython 3.11","CPython 3.12","CPython 3.13","Linux x86_64","Windows x64","macOS arm64"],"keywords":["quantum error correction","QEC","quantum computing","quantum decoder","MWPM","PyMatching","Stim","Sinter","LDPC","qLDPC","BP-OSD","belief matching","union find decoder","surface code","Rust","Python","PyO3","maturin","QECTOR"],"author":{"@type":"Person","givenName":"Guillaume","familyName":"Lessard","affiliation":"iD01t Productions"},"publisher":{"@type":"Organization","name":"iD01t Productions"}}

pyproject.toml

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@@ -4,7 +4,7 @@ build-backend = "maturin"
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[project]
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name = "qector-decoder-v3"
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version = "0.6.4"
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version = "0.6.5"
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description = "Source-available Rust/Python QEC R&D platform: PyMatching-compatible validation, belief-matching, BP-OSD (LDPC/qLDPC), CPU/GPU batch decoding, and artifact-hashed benchmark evidence"
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readme = {file = "PYPI_README.md", content-type = "text/markdown"}
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requires-python = ">=3.9"

python/qector_decoder_v3/__init__.py

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# wheel). We never overwrite a real compiled ``__version__`` with it — doing so
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# would falsely claim a version the loaded binary is not — so after a version bump
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# ``__version__`` keeps reporting the *built* value until the Rust wheel is rebuilt.
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__fallback_version__ = "0.6.4"
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__fallback_version__ = "0.6.5"
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try:
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__version__ = _native_module.__version__

python/qector_decoder_v3/belief_matching.py

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@@ -208,10 +208,17 @@ def from_numpy_h(cls, H, error_rate: float = 0.05, max_iter: int = 20) -> "Belie
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raise ValueError(f"H must be 2D, got {H.shape}")
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nD, nQ = H.shape
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hyper_ids = {}
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edge_ids = {}
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hyper_to_edges = {}
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priors = {}
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hyper_ids: dict[tuple[int, ...], int] = {}
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edge_ids: dict[tuple[int, ...], int] = {}
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hyper_to_edges: dict[int, set[int]] = {}
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priors: dict[int, float] = {}
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# Type hints for mypy
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_hyper_ids: dict[tuple[int, ...], int] = hyper_ids
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_edge_ids: dict[tuple[int, ...], int] = edge_ids
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_hyper_to_edges: dict[int, set[int]] = hyper_to_edges
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_priors: dict[int, float] = priors
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# Avoid unused variable warnings
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_ = _hyper_ids, _edge_ids, _hyper_to_edges, _priors
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for q in range(nQ):
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dets = tuple(sorted(np.nonzero(H[:, q])[0].tolist()))

python/qector_decoder_v3/decode_mmap.py

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@@ -36,7 +36,7 @@ def decode_mmap(
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decoder_type: str = "cpu_batch",
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batch_size: int = 65536,
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n_shots: Optional[int] = None,
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dtype: _np.dtype = _np.uint8,
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dtype: _np.dtype[_np.uint8] = _np.dtype(_np.uint8),
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verbose: bool = False,
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):
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"""Out-of-core batch decoding via memory-mapped arrays.
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output = _np.memmap(output_path, dtype=_np.uint8, mode="w+", shape=(n_shots, n_qubits))
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from . import CPUBatchDecoder, UnionFindDecoder
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from typing import Union
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_Decoder = Union[CPUBatchDecoder, UnionFindDecoder]
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if decoder_type == "cpu_batch":
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decoder = CPUBatchDecoder(c2q, n_qubits)
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decoder: _Decoder = CPUBatchDecoder(c2q, n_qubits)
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batch_fn = decoder.batch_decode
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else:
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decoder = UnionFindDecoder(c2q, n_qubits)
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batch_fn = lambda batch: _np.array([decoder.decode(batch[i]) for i in range(batch.shape[0])])
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def _batch_decode_uf(batch: _np.ndarray) -> _np.ndarray:
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out = _np.zeros((batch.shape[0], n_qubits), dtype=_np.uint8)
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for i in range(batch.shape[0]):
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out[i] = decoder.decode(batch[i])
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return out
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batch_fn = _batch_decode_uf
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n_chunks = (n_shots + batch_size - 1) // batch_size
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for chunk_idx in range(n_chunks):

python/qector_decoder_v3/decoder_pool.py

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from typing import Optional
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import numpy as np
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from numpy.typing import NDArray
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__all__ = ["DecoderPool"]
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self._nq = int(n_qubits) if n_qubits is not None else None
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self._decoder_type = str(decoder_type)
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self._n_workers = n_workers or os.cpu_count() or 1
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self._pool = None
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self._pool: Optional[_mp.pool.Pool] = None
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def decode(self, syndromes) -> np.ndarray:
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"""Decode a batch of syndromes.
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initargs=(checks_tuple, self._nq, self._decoder_type),
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)
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assert self._pool is not None
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nw = min(self._n_workers, n)
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chunk_size = (n + nw - 1) // nw
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chunks = [(arr[i : i + chunk_size], i // chunk_size) for i in range(0, n, chunk_size)]
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results = [None] * len(chunks)
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results: list[NDArray[np.uint8]] = [None] * len(chunks) # type: ignore[list-item]
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for idx, result in self._pool.imap_unordered(_worker_decode, chunks):
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results[idx] = result
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return np.concatenate(results, axis=0).astype(np.uint8)

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