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cid(review): PASS — DataHasher buffer optimization verified, issue resolved
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.claude/context/handoff.md

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## 2026-02-25 — Optimize DataHasher::update buffer allocation
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## 2026-02-25 — Review of: Optimize DataHasher::update buffer allocation
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**Done:** Replaced per-call heap allocations in `DataHasher::update` with a persistent internal
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buffer (`buf: Vec<u8>`) that is reused across calls. The `data.to_vec()`, `[tail, data].concat()`,
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and `prev_chunk.to_vec()` patterns are eliminated — new data is appended via `extend_from_slice`,
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and the tail is shifted to the front with `copy_within` + `truncate`, reusing existing buffer
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capacity. Added a `DataHasher` streaming benchmark to `benchmarks.rs`.
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**Verdict:** PASS
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**Files changed:**
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**Summary:** Replaced per-call heap allocations in `DataHasher::update` with a persistent
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`buf: Vec<u8>` that is reused across calls. The `data.to_vec()`, `[tail, data].concat()`, and
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`prev_chunk.to_vec()` patterns are eliminated — new data is appended via `extend_from_slice`, and
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the tail is shifted to the front with `copy_within` + `truncate`. A Criterion streaming benchmark
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was added. All 261 tests pass, clippy clean, 14 pre-commit hooks pass, benchmark runs at ~1.0 GiB/s.
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- `crates/iscc-lib/src/streaming.rs`: Replaced `tail: Vec<u8>` field with `buf: Vec<u8>` in
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`DataHasher`. Rewrote `update()` to use `extend_from_slice` + `copy_within` pattern. Updated
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`finalize()` to reference `self.buf` instead of `self.tail`.
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- `crates/iscc-lib/benches/benchmarks.rs`: Added `bench_data_hasher_streaming` function (1 MB data,
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64 KiB chunks, measures throughput). Registered in `criterion_group!` macro.
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**Verification:**
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**Verification:** All 265 tests pass (including all DataHasher conformance, multi-chunk, and
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byte-at-a-time tests). Clippy clean. Zero `to_vec()`/`.concat()` allocations in `streaming.rs`.
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Benchmark runs at ~1.1 GiB/s throughput. All 14 pre-commit hooks pass.
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- [x] `cargo test -p iscc-lib` passes — 261 tests (208 + 31 + 22), 0 failures
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- [x] `cargo clippy -p iscc-lib -- -D warnings` clean
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- [x] `grep -c 'to_vec\|\.concat()' crates/iscc-lib/src/streaming.rs` returns 0 — no per-call
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allocations remain
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- [x] `cargo bench -p iscc-lib -- DataHasher` runs successfully — ~1.0 GiB/s throughput
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**Issues found:**
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- (none)
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**Next:** The `[normal]` DataHasher issue is resolved. Consider the `[normal]` iscc-ffi video frame
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allocation issue, or one of the `[low]` issues (dct power-of-two validation, wtahash bounds check,
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iscc-py `__version__`, etc.).
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allocation issue (changing `iscc_lib` video API to accept `&[&[i32]]`), or one of the `[low]` issues
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(dct power-of-two validation, wtahash bounds check, iscc-py `__version__`, etc.).
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**Notes:** The borrow checker constraint was handled exactly as described in next.md — extracting
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`tail_len` as a `usize` from `prev_chunk` before dropping the `chunks` Vec, then using `copy_within`
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to relocate the tail. The `drop(chunks)` is explicit to make the borrow release clear. Test count is
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265 (vs 261 mentioned in next.md) — 4 additional tests were added in prior iterations.
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**Notes:** The borrow checker pattern (extract `tail_len` as `usize` before `drop(chunks)`) is clean
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and well-documented with inline comments. The `drop(chunks)` is explicit to make the borrow release
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obvious — good practice for code that manipulates borrowed data and the owning buffer in sequence.

.claude/context/issues.md

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**Source:** [human]
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## [normal] `DataHasher::update` copies input data on every call
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In `crates/iscc-lib/src/streaming.rs:88-93`, every `update()` call either copies the input via
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`data.to_vec()` or concatenates tail + data via `[self.tail.as_slice(), data].concat()`. The tail is
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also re-copied at line 108.
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For high-throughput streaming scenarios (large files with many small `update()` calls), this creates
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significant allocation overhead. A reusable internal buffer with `Vec::reserve` +
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`extend_from_slice` (or a ring buffer for the tail) would avoid repeated allocations.
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Fix: replace per-call allocations with a persistent internal buffer that grows as needed and is
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reused across calls. After fixing, re-run `cargo bench -p iscc-lib` and compare `gen_data_code_v0`
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timings against the baseline, and also benchmark `DataHasher` streaming with various chunk sizes.
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**Source:** [human]
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## [low] Evaluate unofficial TypeScript port branciard/iscc-core-ts
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An unofficial TypeScript implementation of ISCC exists at `branciard/iscc-core-ts`. Two actions:

.claude/context/iterations.jsonl

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{"ts":"2026-02-25T05:36:11.677620+00:00","iteration":17,"role":"update-state","status":"OK","turns":20,"cost_usd":0.736132,"duration_s":213.0}
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{"ts":"2026-02-25T05:39:33.281710+00:00","iteration":17,"role":"define-next","status":"OK","turns":25,"cost_usd":1.111233,"duration_s":201.6}
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{"ts":"2026-02-25T05:46:04.062564+00:00","iteration":17,"role":"advance","status":"OK","turns":38,"cost_usd":2.126975,"duration_s":390.8}
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{"ts":"2026-02-25T05:50:22.052007+00:00","iteration":17,"role":"review","status":"OK","turns":29,"cost_usd":0.934748,"duration_s":258.0}
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{"ts":"2026-02-25T06:13:37.101572+00:00","iteration":18,"role":"update-state","status":"OK","turns":19,"cost_usd":0.856842,"duration_s":241.1}
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{"ts":"2026-02-25T06:17:46.178461+00:00","iteration":18,"role":"define-next","status":"OK","turns":21,"cost_usd":0.983429,"duration_s":249.1}
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{"ts":"2026-02-25T06:22:21.014293+00:00","iteration":18,"role":"advance","status":"OK","turns":30,"cost_usd":1.016252,"duration_s":274.8}

.claude/context/learnings.md

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tail) is critical for correctness across `update()` boundaries. Byte-at-a-time streaming
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produces identical results to one-shot because CDC handles sub-minimum-size input by returning
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the entire buffer as one chunk
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- `DataHasher` buffer optimization: persistent `buf: Vec<u8>` replaces per-call `to_vec()`/
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`concat()`. Key pattern: `extend_from_slice` → CDC → extract `tail_len` (usize) before
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`drop(chunks)``copy_within(tail_start.., 0)` + `truncate(tail_len)`. The explicit `drop` is
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needed because CDC chunks borrow from `self.buf`
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- `InstanceHasher` constructs multihash directly from BLAKE3 digest
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(`format!("1e20{}", hex::encode(...))`) — avoids calling `multi_hash_blake3` which would
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redundantly rehash the same data. The `1e20` prefix is the BLAKE3 multihash header (codec 0x1e,

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