From 93748951eb59832ba35f6250fdd9307e793b8935 Mon Sep 17 00:00:00 2001 From: Jason McCartney Date: Fri, 9 Oct 2026 20:19:16 -0700 Subject: [PATCH 1/2] README and results for RC2: KV shard default (2.36M pool, 1M context), deterministic verify, persistent MoE decode; receipts Co-Authored-By: Claude Opus 5.5 --- README.md | 78 +- results/2026-10-09-rc2/RESULT.md | 91 + results/2026-10-09-rc2/SHA256SUMS | 43 + results/2026-10-09-rc2/raw/deploy15.log | Bin 0 -> 1829 bytes .../raw/field-16k/discarded-warmup.json | 8062 +++++++ .../raw/field-16k/field-guide-r1.json | 8062 +++++++ .../raw/field-16k/field-guide-r2.json | 8062 +++++++ .../raw/field-16k/field-guide-r3.json | 8062 +++++++ .../raw/field-16k/field-guide-r4.json | 8062 +++++++ .../raw/field-16k/field-guide-r5.json | 8062 +++++++ .../raw/field-32k/discarded-warmup.json | 8062 +++++++ .../raw/field-32k/field-guide-r1.json | 8062 +++++++ .../raw/field-32k/field-guide-r2.json | 8052 +++++++ .../raw/field-32k/field-guide-r3.json | 8062 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[Atlas](https://github.com/Enntity/atlas) inference engine: tensor and expert parallelism across both boxes over one ConnectX-7 cable, NVIDIA's NVFP4 checkpoint, DFlash2 speculative decoding, prefix caching, up to four -concurrent requests with 512K context each, and an OpenAI-compatible API. +concurrent requests with the model's full 1M context each, and an +OpenAI-compatible API. Greedy output is the same whether a request runs alone +or beside others. Multi-turn agents get a cached conversation back: a turn of a 45K-token conversation starts in under a second instead of re-reading the whole transcript. @@ -24,9 +26,10 @@ cp .env.example .env # set WORKER to the other Spark's ssh destination Measured on two DGX Sparks joined by one 200G cable, with images built from a fresh clone. Receipts and caveats: -[the display carveout's KV placement](results/2026-10-05-carveout-placement/RESULT.md) (this release), +[this release: KV shard, deterministic verify, faster MoE decode](results/2026-10-09-rc2/RESULT.md), +[the display carveout's KV placement](results/2026-10-05-carveout-placement/RESULT.md), [a faster verify step and cheaper warm turns](results/2026-09-30-decode-step/RESULT.md), -[RigMark decode, prefill and staggered arrivals on this release](results/2026-10-05-rigmark/RESULT.md), +[RigMark decode, prefill and staggered arrivals on 2026-10-05](results/2026-10-05-rigmark/RESULT.md), [RigMark short-code concurrency](results/2026-09-30-rigmark/RESULT.md), [prefix cache on disk](results/2026-09-30-nvme-tier/RESULT.md), [exact kernels and the prefix-cache policy](results/2026-09-30-exact-speedups/RESULT.md), @@ -39,24 +42,28 @@ and [the first Atlas release](results/2026-09-29-atlas-merged/RESULT.md) |---|---|---| | Multi-turn conversation, 30–48K tokens: time to first token on turns 2+ (median) | **0.67 s** | 17.6 s with caching off | | Four concurrent ~204K-token sessions, cached follow-up turns | 12/12 exact answers | | +| KV pool shared by all requests (0.91, display carveout, disk prefix cache on) | **2.36M tokens**, up to 1M per request | 1.38M, up to 512K, on 2026-10-05 | +| Same greedy output at 1 and 4 concurrent requests | **4/4 prompts** | 0/4 on 2026-10-09 morning | | Replaying a 35K-token prompt | **0.80 s** (14.4 s cold) | | | New session sharing a 24K system prompt with earlier ones: time to first token | **15.7 s** | 36.2 s with the cache policy off | | Idle session resuming after another session's 17 turns (median) | **2.5 s** | 49.6 s with the cache policy off | | Cold 61K / 125K prompt: time to first token | **25.0 / 49.1 s** | 29.2 / 62.5 s two engines ago | -| Matrix: C1/C2 at 16K and 32K, C4 at 16K, 400 tokens each, cold (sum of walls) | **136.7 s** | vLLM SparkGLM 206.6 s · Mia TensorFold 165.6 s | -| Staggered C4: four ~16K requests arriving 1 s apart, cold (median of 5) | **49.3 s** | vLLM SparkGLM 70.5 s · Mia TensorFold 58.3 s · Mia EXL3 113.2 s | -| Single-stream prose decode, 5 × 384 tokens | **40.2–44.2 tok/s** | 32.8–34.5 tok/s on 2026-09-30, before the decode-step work | -| RigMark decode, code / prose / structured (thinking on, low effort) | **65.7 / 36.3 / 91.6 tok/s** | [RiNGSiDE](https://github.com/othexmr/GLM-5.3-Flash-NVFP4-2x-4x-DGX-Sparks-RiNGSiDE) vLLM TP2 (published) 56.5 / 33.0 / 83.4 | -| RigMark cold prefill 8K / 32K / 64K: time to first token | **3.28 / 12.35 / 23.71 s** | RiNGSiDE 3.56 / 12.94 / 25.66 s | -| RigMark staggered arrivals, prefill first: newcomer time to first token at 2 / 4 | **2.86 / 3.51 s** | RiNGSiDE 4.70 / 5.15 s | -| RigMark short code, 1 / 4 streams, aggregate (2026-09-30 release) | 45.8 / 67.0 tok/s | RiNGSiDE 44.0 at 1 stream; 97.3 at 6 streams (our 4 × 512K profile serves 4 at a time) | +| Matrix: C1/C2 at 16K and 32K, C4 at 16K, 400 tokens each, cold (sum of walls) | **136.3 s** | vLLM SparkGLM 206.6 s · Mia TensorFold v1.10 166.9 s | +| Staggered C4: four ~16K requests arriving 1 s apart, cold (median of 5) | **49.9 s** | vLLM SparkGLM 70.5 s · Mia TensorFold v1.10 60.2 s · Mia EXL3 113.2 s | +| Staggered C4: four ~32K requests arriving 1 s apart, cold (median of 3) | **77.3 s** | Mia TensorFold v1.10 100.1 s | +| Single-stream decode, 12 prose / 12 code prompts × 256 tokens | **42.9 / 61.7 tok/s** | 41.2 / 61.8 on 2026-10-09 morning; Mia TensorFold v1.10 is faster here ([release notes](results/2026-10-09-rc2/RESULT.md)) | +| RigMark decode, code / prose / structured (thinking on, low effort) | **65.5 / 36.5 / 88.8 tok/s** | [RiNGSiDE](https://github.com/othexmr/GLM-5.3-Flash-NVFP4-2x-4x-DGX-Sparks-RiNGSiDE) vLLM TP2 (published) 56.5 / 33.0 / 83.4 | +| RigMark cold prefill 8K / 32K / 64K: time to first token | **3.29 / 12.47 / 23.72 s** | RiNGSiDE 3.56 / 12.94 / 25.66 s | +| RigMark staggered arrivals, prefill first: newcomer time to first token at 2 / 4 | **2.80 / 3.54 s** | RiNGSiDE 4.70 / 5.15 s | +| RigMark short code, 1 / 4 streams, aggregate | **47.7 / 69.5 tok/s** | RiNGSiDE 44.0 at 1 stream; 97.3 at 6 streams (our 4 × 1M profile serves 4 at a time) | | Returning to a ~209K-token conversation evicted to disk (prefix cache on disk, 48 GB) | **1.2–1.5 s** | about 82 s without it | | Strict JSON (`response_format` json_schema), ~2,000-token structured answer | **30–50 s**, schema-valid | 135–155 s with masked serial decode | | Strict JSON object with 96 required keys, temperature 0 | **39 s**, 59 tok/s, valid | engine killed (out of memory) two releases ago | -| Quality probe: arithmetic / two-hop 24K needle | 40/40 · 11/12 | | +| Quality probe: arithmetic / two-hop 24K needle | 39/40 · 12/12; 491/500 · 24/24 on the 500-item set | every engine configuration we ran scored 484–495/500 | -These are measurements on our pair, not a guarantee for yours. Known gaps and -open questions are in [docs/LIMITATIONS.md](docs/LIMITATIONS.md). +These are measurements on our pair, not a guarantee for yours. Rows not re-run +for this release keep the receipts linked above. Known gaps and open questions +are in [docs/LIMITATIONS.md](docs/LIMITATIONS.md). ## Requirements @@ -113,17 +120,23 @@ videos are supported. **Profiles** (`PROFILE` in `.env`): -- `4x512k` (default): up to four requests with up to 512K context each. +- `4x1m` (default): up to four requests with up to 1,048,576 tokens each, the + model's full window. +- `4x512k`: up to four requests with up to 512K each. - `8x128k`: up to eight requests with up to 128K each, for more concurrent short work. -All requests share one FP8-latent KV pool that also holds the prefix cache: -about 600K tokens at the default `GPU_MEMORY_UTILIZATION` of 0.88, and about -1.13M at 0.91, which we run on Sparks that run nothing else (about 1.37M with -the display carveout, below). Above 0.91, real traffic took our rank 0 below -1 GiB free ([docs/LIMITATIONS.md](docs/LIMITATIONS.md)). Requests that don't -fit wait for room. Prefix caching keeps the 16 most recent conversations' -recurrent state warm. +All requests share one FP8-latent KV pool that also holds the prefix cache. +The KV cache is split between the two Sparks (`KV_SHARD`, on by default): each +stores the latents of half the blocks, so the pool holds about 1.8x the tokens, +and the output is bit-identical to the unsplit pool's. On Sparks that run +nothing else, at `GPU_MEMORY_UTILIZATION=0.91` with the display carveout and +the disk prefix cache (both below), the pool is about 2.36M tokens. Four +concurrent 204K-token sessions left rank 0 at 4.8 GB free at worst. Above +0.91, real traffic took our rank 0 below 1 GiB free +([docs/LIMITATIONS.md](docs/LIMITATIONS.md)). Requests that don't fit wait for +room. Prefix caching keeps the 16 most recent conversations' recurrent state +warm. ## Prefix cache on disk (optional) @@ -133,7 +146,11 @@ With `PREFIX_CACHE_DIR` set, each Spark writes what it drops to its own disk instead and reads it back when the conversation returns. In one pass on 2026-09-30, with 25K-token conversations pushed out of the cache, the time to first token of turn 2 went from 10.7 s to 0.91 s and the answers were -byte-identical. Each restore read its blocks in about 75 ms (7.8 GB/s). +byte-identical. Each restore read its blocks in about 75 ms (7.8 GB/s). With +the KV shard (the default) each Spark spills and restores only the latents it +owns: on 2026-10-09 a 25K-token conversation came back in about 40 ms per +restore (5.2 GB/s), and turns 2-4 after three restores were byte-identical to a +run that never evicted, token logprobs included. To turn it on, add to `.env` and rerun `./start.sh`: @@ -144,8 +161,8 @@ PREFIX_CACHE_GB=48 # GiB per Spark, 16-100 (default `start.sh` creates `kv/` and `ssm/` in the directory on both Sparks, refuses a directory on tmpfs or without that much space free, and mounts it into each -rank. Half of the size holds KV blocks (6.66 KB per token; 24 GiB holds 3.9M -tokens, over twice the pool at 0.93). The other half holds the 78 MB +rank. Half of the size holds KV blocks (6.66 KB per token unsplit, 3.7 KB per +Spark with the KV shard; 24 GiB holds 3.9M or 6.9M tokens). The other half holds the 78 MB recurrent-state snapshots a restore starts from (24 GiB holds 330). A restore needs both, so at 25K tokens the even split keeps about 150 conversations with two snapshots each. @@ -157,7 +174,10 @@ What it costs, per Spark: slots), plus 640 B for each 16-token block the KV half can hold, which is 6.2 MiB per GiB. At the default that is 383.8 MiB. On our pair at 0.93 the pool lost about 4,000 of its 104,000 blocks, about 60K tokens (4%); at the - default 0.88 the same 60K tokens are about 10% of the pool. Each GiB added + default 0.88 the same 60K tokens are about 10% of the pool. With the KV +shard each block costs each Spark about half as much memory, so the same +reservation takes about twice the tokens: at 0.91 with the carveout the pool +goes from 163,177 to 147,480 blocks (2.61M to 2.36M tokens). Each GiB added to `PREFIX_CACHE_GB` costs about 500 more tokens. The fixed part is most of the cost, and 48 is the size we measured. - **Disk.** The KV half is reserved when the engine starts; the snapshot half @@ -234,14 +254,15 @@ Atlas here is [`Enntity/atlas`](https://github.com/Enntity/atlas) branch layers: 1. Atlas-Inf `main`. -2. GLM-5.3-Flash support and optimizations (branch `upstream/glm53-flash`), - which we intend to propose to Atlas-Inf after review. It started as +2. GLM-5.3-Flash support and optimizations (this release: + `upstream/glm53-flash-20261009-rc2`), which we intend to propose to + Atlas-Inf after review. It started as Reiner Schmidt's port ([Mango-kid/atlas](https://github.com/Mango-kid/atlas/tree/feat/glm53-dual-spark)); the engine's `docs/porting/GLM_5_3_FLASH.md` has the history. 3. SparkGLM-only commits: FlashKDA and native sparse-MLA prefill bridges, which rely on libraries built outside the Atlas tree, and the GB10 - display carveout. + display carveout (including where the split KV pools are placed in it). ## History @@ -269,6 +290,7 @@ code is ours unless [docs/LICENSING.md](docs/LICENSING.md) says otherwise. | `ATLAS_GLM_PC_EVICT` | Reederey87's prefix-cache eviction policy ([glm53-flash-exl3-2x-dgx-spark](https://github.com/Reederey87/glm53-flash-exl3-2x-dgx-spark)) | | `ATLAS_GLM_PC_BRANCH` | Marconi's branch-point admission (Pan et al., MLSys 2025, [arXiv:2411.19379](https://arxiv.org/abs/2411.19379)) | | `ATLAS_GLM_STRICT_SPEC` | vLLM's speculative decoding with structured outputs ([#14702](https://github.com/vllm-project/vllm/pull/14702)) and its reasoning-boundary fix ([#44297](https://github.com/vllm-project/vllm/pull/44297)): per-position grammar masks over the draft window, the bonus row included, with the matcher rolled back after rejected drafts. We added per-rank masking for the vocab-split verify head. | +| `ATLAS_GLM_CANONICAL_VERIFY` | Batch-invariant kernels, from Thinking Machines Lab's "Defeating Nondeterminism in LLM Inference" (Horace He, 2025): a row's result must not depend on the rows computed beside it. We apply it to every op a DFlash verify row touches, at every verify width. | | `DISPLAY_CARVEOUT` | kindling-spark-os's `dispram` ([kindlingai/kindling-spark-os](https://github.com/kindlingai/kindling-spark-os), by mmastrac, coffee-the-dev and adapt-ai-systems; they credit an earlier NVIDIA developer forum post by emihuang). Our implementation was re-derived from the open GPU kernel modules and needs no daemon. | Measurement: [RigMark](https://github.com/alexellis/rigmark) by Alex Ellis diff --git a/results/2026-10-09-rc2/RESULT.md b/results/2026-10-09-rc2/RESULT.md new file mode 100644 index 0000000..19672fb --- /dev/null +++ b/results/2026-10-09-rc2/RESULT.md @@ -0,0 +1,91 @@ +# 2026-10-09: deterministic greedy output at any concurrency, faster MoE decode (engine sparkglm/atlas-20261009-rc2) + +The image is `4046c81baa07`. It runs engine `f2b805e7`, which has the same tree as the layered integration branch +`sparkglm/atlas-20261009-rc2-layered`, built on upstream candidate `upstream/glm53-flash-20261009-rc2`. + +## What changed since the 2026-10-05 release + +- **KV shard (on by default).** Each Spark stores the latents of half the KV blocks. The pool is about 2.36M tokens, + against about 1.38M before. Each request can use the model's full 1,048,576-token window: the default profile is + now `4x1m`. The shard changes no output bit: the prompt-logprob hash is the same with the shard on and off. +- **Prefix cache on disk, beside the shard.** Each Spark spills and restores only the latents it owns. +- **Canonical verify** (`ATLAS_GLM_CANONICAL_VERIFY`, default on). + - DFlash verifies a variable number of drafted tokens per step. The engine used to pick different kernels for each + of those widths: projections, router, shared expert, dense FFN, and plain decode. + - Width depends on the drafter and on what else is running, so the same request could get different greedy output + at one stream than at four. + - Every op now uses one row-invariant kernel family for every width from 1 to 32 rows. +- **Persistent MoE decode kernels** (`ATLAS_GLM_MOE_DECODE_PERSIST`, on in the profiles): one CTA per SM, prefetching + the next expert tile. Bit-identical to the previous kernels. +- **KDA record commits:** one launch per sequence instead of one per layer. Bit-identical. +- **Copy drafts** (prompt lookup beside DFlash2). Streamed GLM text keeps the words tool/user/assistant. Tool + arguments keep their schema types. + +## Measurements + +Two DGX Sparks, production settings: `4x1m`, 0.91, display carveout, KV shard, disk prefix cache 48 GB. + +| | This release | 2026-10-05 release | +|---|---:|---:| +| RigMark decode, code / prose / structured, tok/s | 65.5 / 36.5 / 88.8 | 65.7 / 36.3 / 91.6 | +| RigMark cold prefill 8K / 32K / 64K, TTFT (s) | 3.29 / 12.47 / 23.72 | 3.28 / 12.35 / 23.71 | +| RigMark staggered arrivals, newcomer TTFT at 2 / 4 (s) | 2.80 / 3.54 | 2.86 / 3.51 | +| RigMark short code, 1 / 4 streams aggregate, tok/s | 47.7 / 69.5 | 45.8 / 67.0 (2026-09-30) | +| Staggered C4 field guide, ~16K input (median of 5), s | 49.9 | 49.3 | +| Staggered C4 field guide, ~32K input (median of 3), s | 77.3 | — | +| Matrix (C1/C2 16K and 32K, C4 16K; sum of walls), s | 136.3 | 136.7 | +| Four concurrent ~204K-token sessions, cached follow-ups | 12/12 and 8/8 | 12/12 | +| KV pool | 147,480 blocks (2.36M tokens) | 86,005 blocks per Spark (1.38M) | + +**Structured decode.** RigMark's structured test asks for a JSON list. The model writes it either pretty-printed +(about 692 tokens) or compact (about 441 tokens). +- The 2026-10-05 median came from a pretty-printed run. +- All three runs on this release came out compact. +- Whitespace tokens are easy to draft, so the compact form scores lower tok/s, but it finishes in 5.7 s instead of + 8.2 s. +- On identical output text (the same output hash), this release runs at 88.8 tok/s against 87.2 for the + 2026-10-09 morning release. + +**Single-stream decode over many prompts.** One prompt per workload is a poor measure across engines whose bits +differ, because the generated text changes and draft acceptance changes with it. So we ran 12 prose and 12 code +prompts, 256 tokens each, in two alternating rounds against the 2026-10-09 morning release (`raw/multi-*.json`): + +| C1, 12 prompts per workload | This release | Morning release (3d795a21633d) | +|---|---:|---:| +| Prose tok/s | 42.95 / 42.89 | 41.16 / 41.18 | +| Code tok/s | 61.77 / 61.70 | 61.83 / 61.85 | + +Per verify step this release is 2–3% faster: 59.9 vs 61.3 ms on prose and 82.7 vs 85.3 ms on code +(`raw/nsys-cmp.log`). + +**Determinism.** We ran four greedy prompts at C1, then all four concurrently, twice, with batched verify, adaptive +draft width, copy drafts and the prefix cache on. Every C4 output equals the C1 output, and the two C4 runs agree +(`raw/rc2-spark-rc2-f2b805e7.json`). The previous release matched on 0 of 4 (`raw/rc2base-spark-rel-3d795.json`). + +**Quality.** +- 500 multi-step arithmetic problems: 491/500. +- 24 two-hop 24K needles: 24/24 (`raw/qbig-rc2.jsonl`). +- Every engine configuration we ran scored between 484 and 495 on the arithmetic set: each arithmetic variant flips + a different set of borderline items, so single runs can't rank engines. +- The log-likelihood of a fixed 48,875-token text moved by 0.000008 nats per token against the previous release. + +**Against Mia's TensorFold v1.10 on the same pair** (`raw/tf110-*`): + +| | This release | TensorFold v1.10 | +|---|---:|---:| +| Staggered C4 field guide at ~16K (s) | 49.9 | 60.2 | +| Staggered C4 field guide at ~32K (s) | 77.3 | 100.1 | +| Matrix (s) | 136.3 | 166.9 | + +TensorFold is faster at single-stream decode on the same probe prompts: about 49.8 vs 42.2 tok/s on prose and 68.5 vs +54.6 on code. Its EXL3 experts are about 8% smaller per rank than our NVFP4 experts, and our MoE decode kernels already +read weights at the GB10 bandwidth roofline. + +## Verify the receipts + +The JSON files are RigMark's and the probes' own output, unedited. In the logs, home directories were replaced with +`/home/user`. + +```sh +cd results/2026-10-09-rc2 && sha256sum -c SHA256SUMS +``` diff --git a/results/2026-10-09-rc2/SHA256SUMS b/results/2026-10-09-rc2/SHA256SUMS new file mode 100644 index 0000000..c04ae53 --- /dev/null +++ b/results/2026-10-09-rc2/SHA256SUMS @@ -0,0 +1,43 @@ +4df6b8e9284b09447c3fec6c596958794f601141de87a8110310b29340de00de raw/deploy15.log +62d7d9634e7d5132ccf793e1c64f2b3492187cf5a4b73466855428cc2f8d9e43 raw/field-16k/discarded-warmup.json +bbc881a44d5866f74707536013bca38c4bbf191a8f473ecfb8de2a35ff45836b raw/field-16k/field-guide-r1.json +fdb21f6daf37e5c1c7cd48f55712443aa5b7e76551ac46ed8fdd5cda8b7f66e4 raw/field-16k/field-guide-r2.json +a0decc35e2413b6c4ca4d2f536eb5a50d3be87ff335aecefd8f5997fe4e87e05 raw/field-16k/field-guide-r3.json +1d5a2fd3c47ec54cce89ebb87e3ac195c7025aab79751158e99e570880b53714 raw/field-16k/field-guide-r4.json +1bb1ecca615159fdcafdcef112f1a222ccda9c0f1abd625130108d342dc2f4d3 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control", + "tokens": 2 + } + ], + "error": null + } + ] +} diff --git a/results/2026-10-09-rc2/raw/matrix/c1-16k.json b/results/2026-10-09-rc2/raw/matrix/c1-16k.json new file mode 100644 index 0000000..11143a0 --- /dev/null +++ b/results/2026-10-09-rc2/raw/matrix/c1-16k.json @@ -0,0 +1 @@ +{"config": {"concurrency": 1, "disable_loop_watchdog": false, "enable_thinking": false, "exact_prompt_tokens": true, "max_output_tokens": 400, "max_output_tokens_by_request": [400], "min_output_tokens": 400, "min_output_tokens_by_request": [400], "prompt_salt": "mb-rc2-4046c-1791597685-c1-16k", "prompt_style": "isolation", "prompt_styles_by_request": ["isolation"], "requested_prompt_tokens": 16384, "requested_prompt_tokens_by_request": [16384], "stagger_ms": 1000}, "requests": [{"accepted_prediction_tokens": 293, "completion_tokens": 400, "decode_tok_s": 58.33092688409544, "effective_prefill_tok_s": 2552.2826871656935, "elapsed_s": 13.259633804002078, "error": null, "finish_reason": "length", "foreign_request_markers": [], "inter_event_gap_p95_s": 0.08160359298926778, "max_inter_event_gap_s": 0.10040091301198117, "output_chars": 1074, "output_preview": "The payload is just \"alpha\" repeated many times. Summarize, repeat the code once, mention FINAL-FACT.**Summary:** The payload consists of the word \"alpha\" repea", "output_sha256": "5dd19c7f3a1735e9a3c32f8107fca96224cce715d456d11305fad3194e736c9a", "own_request_marker": true, "prompt_sha256": "92eff198882fec1ba8c23e33a17a42bb68b398b5799024259b9db35c94e492c6", "prompt_tokens": 16384, "reached_requested_completion_tokens": true, "rejected_prediction_tokens": 0, "request_id": 0, "requested_completion_tokens": 400, "scheduled_s": 0.0, "started_s": 7.02700053807348e-05, "ttft_s": 6.419351618998917, "visible_events": 399}], "summary": {"aggregate_decode_tok_s": 58.33092688409544, "aggregate_effective_prefill_tok_s": 2552.2826871656935, "decode_tok_s_p50": 58.33092688409544, "decode_tok_s_sum": 58.33092688409544, "effective_prefill_tok_s_p50": 2552.2826871656935, "successful": 1, "ttft_p50_s": 6.419351618998917, "ttft_p95_s": 6.419351618998917, "wall_s": 13.260071404016344}} diff --git a/results/2026-10-09-rc2/raw/matrix/c1-32k.json b/results/2026-10-09-rc2/raw/matrix/c1-32k.json new file mode 100644 index 0000000..fd34a1e --- /dev/null +++ b/results/2026-10-09-rc2/raw/matrix/c1-32k.json @@ -0,0 +1 @@ +{"config": {"concurrency": 1, "disable_loop_watchdog": false, "enable_thinking": false, "exact_prompt_tokens": true, "max_output_tokens": 400, "max_output_tokens_by_request": [400], "min_output_tokens": 400, "min_output_tokens_by_request": [400], "prompt_salt": "mb-rc2-4046c-1791597685-c1-32k", "prompt_style": "isolation", "prompt_styles_by_request": ["isolation"], "requested_prompt_tokens": 32768, "requested_prompt_tokens_by_request": [32768], "stagger_ms": 1000}, "requests": [{"accepted_prediction_tokens": 260, "completion_tokens": 400, "decode_tok_s": 46.27345094897928, "effective_prefill_tok_s": 2618.165765461286, "elapsed_s": 21.138287223002408, "error": null, "finish_reason": "length", "foreign_request_markers": [], "inter_event_gap_p95_s": 0.07308132699108683, "max_inter_event_gap_s": 0.10680432000663131, "output_chars": 1604, "output_preview": "The payload is just \"alpha\" repeated many times. Summarize, repeat the code once, mention FINAL-FACT.**Summary:** The payload consists of the word \"alpha\" repea", "output_sha256": "54d5ea34c69d627f825ef75d2429bb17f806b424717655f88044443c453a581d", "own_request_marker": true, "prompt_sha256": "bea4cb92d55ffc45e83d6ee10ba9744a0fda6e1143979d1ab5ba0c60de91cca3", "prompt_tokens": 32768, "reached_requested_completion_tokens": true, "rejected_prediction_tokens": 0, "request_id": 0, "requested_completion_tokens": 400, "scheduled_s": 0.0, "started_s": 0.0005335820023901761, "ttft_s": 12.515632291993825, "visible_events": 398}], "summary": {"aggregate_decode_tok_s": 46.27345094897928, "aggregate_effective_prefill_tok_s": 2618.165765461286, "decode_tok_s_p50": 46.27345094897928, "decode_tok_s_sum": 46.27345094897928, "effective_prefill_tok_s_p50": 2618.165765461286, "successful": 1, "ttft_p50_s": 12.515632291993825, "ttft_p95_s": 12.515632291993825, "wall_s": 21.13952282399987}} diff --git a/results/2026-10-09-rc2/raw/matrix/c2-16k.json b/results/2026-10-09-rc2/raw/matrix/c2-16k.json new file mode 100644 index 0000000..1a99dd9 --- /dev/null +++ b/results/2026-10-09-rc2/raw/matrix/c2-16k.json @@ -0,0 +1 @@ +{"config": {"concurrency": 2, "disable_loop_watchdog": false, "enable_thinking": false, "exact_prompt_tokens": true, "max_output_tokens": 400, "max_output_tokens_by_request": [400, 400], "min_output_tokens": 400, "min_output_tokens_by_request": [400, 400], "prompt_salt": "mb-rc2-4046c-1791597685-c2-16k", "prompt_style": "isolation", "prompt_styles_by_request": ["isolation", "isolation"], "requested_prompt_tokens": 16384, "requested_prompt_tokens_by_request": [16384, 16384], "stagger_ms": 1000}, "requests": [{"accepted_prediction_tokens": 275, "completion_tokens": 400, "decode_tok_s": 25.974695462241666, "effective_prefill_tok_s": 1725.3367195233209, "elapsed_s": 24.857221437996486, "error": null, "finish_reason": "length", "foreign_request_markers": [], "inter_event_gap_p95_s": 0.12770576198818162, "max_inter_event_gap_s": 3.4223198190156836, "output_chars": 1328, "output_preview": "The payload is just \"alpha\" repeated many times, ending with FINAL-FACT. Summarize, repeat the token once, mention FINAL-FACT.**Summary:** The payload consists ", "output_sha256": "3092f6703a27b8a7cd2cca7d43077953be7477e5db7fb4cafa2de6ed2e0d2532", "own_request_marker": true, "prompt_sha256": "794b256e44d8f120a074b3586caaaf268f485ddfa838697ff6985ffc19d49f5e", "prompt_tokens": 16384, "reached_requested_completion_tokens": true, "rejected_prediction_tokens": 0, "request_id": 0, "requested_completion_tokens": 400, "scheduled_s": 0.0, "started_s": 0.0005137890111654997, "ttft_s": 9.49611737500527, "visible_events": 398}, {"accepted_prediction_tokens": 297, "completion_tokens": 400, "decode_tok_s": 37.535574284082095, "effective_prefill_tok_s": 1362.1031088745883, "elapsed_s": 22.65837392900721, "error": null, "finish_reason": "length", "foreign_request_markers": [], "inter_event_gap_p95_s": 0.12746899400372058, "max_inter_event_gap_s": 0.20738128499942832, "output_chars": 1660, "output_preview": "**Summary:** The payload consists of the word \"alpha\" repeated many times (approximately 1,600+ occurrences), with no other meaningful content. It appears to be", "output_sha256": "61ddf607b551049a5fc3304df55ab06e6dc5503193e71228dba5bed3e8ba63dc", "own_request_marker": true, "prompt_sha256": "b6779179a8b4eb7e3cd15fc1eabc72444a6f3e22210370f19ce3691c87933dc2", "prompt_tokens": 16384, "reached_requested_completion_tokens": true, "rejected_prediction_tokens": 0, "request_id": 1, "requested_completion_tokens": 400, "scheduled_s": 1.0, "started_s": 1.0003341760020703, "ttft_s": 12.02845797300688, "visible_events": 397}], "summary": {"aggregate_decode_tok_s": 51.94939092448333, "aggregate_effective_prefill_tok_s": 2515.1442957045915, "decode_tok_s_p50": 31.75513487316188, "decode_tok_s_sum": 63.51026974632376, "effective_prefill_tok_s_p50": 1543.7199141989545, "successful": 2, "ttft_p50_s": 10.762287674006075, "ttft_p95_s": 12.02845797300688, "wall_s": 24.85847484599799}} diff --git a/results/2026-10-09-rc2/raw/matrix/c2-32k.json b/results/2026-10-09-rc2/raw/matrix/c2-32k.json new file mode 100644 index 0000000..258c5de --- /dev/null +++ b/results/2026-10-09-rc2/raw/matrix/c2-32k.json @@ -0,0 +1 @@ +{"config": {"concurrency": 2, "disable_loop_watchdog": false, "enable_thinking": false, "exact_prompt_tokens": true, "max_output_tokens": 400, "max_output_tokens_by_request": [400, 400], "min_output_tokens": 400, "min_output_tokens_by_request": [400, 400], "prompt_salt": "mb-rc2-4046c-1791597685-c2-32k", "prompt_style": "isolation", "prompt_styles_by_request": ["isolation", "isolation"], "requested_prompt_tokens": 32768, "requested_prompt_tokens_by_request": [32768, 32768], "stagger_ms": 1000}, "requests": [{"accepted_prediction_tokens": 325, "completion_tokens": 400, "decode_tok_s": 22.264933164424054, "effective_prefill_tok_s": 2099.577950454932, "elapsed_s": 33.52750297100283, "error": null, "finish_reason": "length", "foreign_request_markers": [], "inter_event_gap_p95_s": 0.12877698399825022, "max_inter_event_gap_s": 3.4337988829938695, "output_chars": 1282, "output_preview": "The payload is just \"alpha\" repeated many times, ending with FINAL-FACT. Summarize, repeat the token once, mention FINAL-FACT.**Summary:** The payload consists ", "output_sha256": "f2c602f99805871df63247bea2608be2006ccf39d014485ee2c582ea9c31e89d", "own_request_marker": true, "prompt_sha256": "fcb9c2216ff9192e34e7e564d55526f35406272ba9e6ba63b5904dab9d795050", "prompt_tokens": 32768, "reached_requested_completion_tokens": true, "rejected_prediction_tokens": 0, "request_id": 0, "requested_completion_tokens": 400, "scheduled_s": 0.0, "started_s": 0.00017635399126447737, "ttft_s": 15.606946145009715, "visible_events": 399}, {"accepted_prediction_tokens": 285, "completion_tokens": 400, "decode_tok_s": 35.355853323553994, "effective_prefill_tok_s": 1351.0483780140844, "elapsed_s": 35.53901777599822, "error": null, "finish_reason": "length", "foreign_request_markers": [], "inter_event_gap_p95_s": 0.1285577859962359, "max_inter_event_gap_s": 0.17102723600692116, "output_chars": 1515, "output_preview": "The payload is just \"alpha\" repeated many times, ending with FINAL-FACT. Summarize, repeat the token once, mention FINAL-FACT.**Summary:** The payload consists ", "output_sha256": "f6e0e2e88a3d5f4f63cacf4d8c3d315bfe949e889d6d25e8fb568e590d507de8", "own_request_marker": true, "prompt_sha256": "944e14f2f8688c33d05ce9dbfb32b7d183af46abf73c35f62025cc54d58c686e", "prompt_tokens": 32768, "reached_requested_completion_tokens": true, "rejected_prediction_tokens": 0, "request_id": 1, "requested_completion_tokens": 400, "scheduled_s": 1.0, "started_s": 1.000478354981169, "ttft_s": 24.253757699014386, "visible_events": 396}], "summary": {"aggregate_decode_tok_s": 38.12276686963463, "aggregate_effective_prefill_tok_s": 2595.0679129814866, "decode_tok_s_p50": 28.810393243989026, "decode_tok_s_sum": 57.62078648797805, "effective_prefill_tok_s_p50": 1725.3131642345081, "successful": 2, "ttft_p50_s": 19.93035192201205, "ttft_p95_s": 24.253757699014386, "wall_s": 36.540538551984355}} diff --git a/results/2026-10-09-rc2/raw/matrix/c4-16k.json b/results/2026-10-09-rc2/raw/matrix/c4-16k.json new file mode 100644 index 0000000..b745c45 --- /dev/null +++ b/results/2026-10-09-rc2/raw/matrix/c4-16k.json @@ -0,0 +1 @@ +{"config": {"concurrency": 4, "disable_loop_watchdog": false, "enable_thinking": false, "exact_prompt_tokens": true, "max_output_tokens": 400, "max_output_tokens_by_request": [400, 400, 400, 400], "min_output_tokens": 400, "min_output_tokens_by_request": [400, 400, 400, 400], "prompt_salt": "mb-rc2-4046c-1791597685-c4-16k", "prompt_style": "isolation", "prompt_styles_by_request": ["isolation", "isolation", "isolation", "isolation"], "requested_prompt_tokens": 16384, "requested_prompt_tokens_by_request": [16384, 16384, 16384, 16384], "stagger_ms": 1000}, "requests": [{"accepted_prediction_tokens": 322, "completion_tokens": 400, "decode_tok_s": 16.75811580261265, "effective_prefill_tok_s": 1045.999061448653, "elapsed_s": 39.47285325799021, "error": null, "finish_reason": "length", "foreign_request_markers": [], "inter_event_gap_p95_s": 0.19300820800708607, "max_inter_event_gap_s": 3.491343567991862, "output_chars": 951, "output_preview": "The payload is just \"alpha\" repeated many times. Summarize, repeat the code once, mention FINAL-FACT.**Summary:** The payload consists of the word \"alpha\" repea", "output_sha256": "b5d1385b67856b80291ac60b2e25bd801159db3f783375f02952765bcf7e264d", "own_request_marker": true, "prompt_sha256": "43f77f73f55dcd26174298d9eb27a776cf533a83e0f3b116c9301521689bec77", "prompt_tokens": 16384, "reached_requested_completion_tokens": true, "rejected_prediction_tokens": 0, "request_id": 0, "requested_completion_tokens": 400, "scheduled_s": 0.0, "started_s": 0.0007349039951805025, "ttft_s": 15.663493978005135, "visible_events": 399}, {"accepted_prediction_tokens": 317, "completion_tokens": 400, "decode_tok_s": 19.572028481536567, "effective_prefill_tok_s": 905.7863381374075, "elapsed_s": 38.47438736399636, "error": null, "finish_reason": "length", "foreign_request_markers": [], "inter_event_gap_p95_s": 0.19231206699623726, "max_inter_event_gap_s": 3.492318900011014, "output_chars": 1321, "output_preview": "The payload is just \"alpha\" repeated many times, ending with FINAL-FACT. Summarize, repeat the code once, mention FINAL-FACT.**Summary:** The payload consists o", "output_sha256": "142cf12f749269bd810689a09949bb99360c8ebb76d1ea7d127a93cb91e7339c", "own_request_marker": true, "prompt_sha256": "2e07633e4ea07ab9dd3eaf49687d0f8406573d668afe89d5508e3f6621fd36a5", "prompt_tokens": 16384, "reached_requested_completion_tokens": true, "rejected_prediction_tokens": 0, "request_id": 1, "requested_completion_tokens": 400, "scheduled_s": 1.0, "started_s": 1.000845684990054, "ttft_s": 18.08815093600424, "visible_events": 399}, {"accepted_prediction_tokens": 308, "completion_tokens": 400, "decode_tok_s": 22.2277287046927, "effective_prefill_tok_s": 798.9443462524347, "elapsed_s": 38.45761244601454, "error": null, "finish_reason": "length", "foreign_request_markers": [], "inter_event_gap_p95_s": 0.1920571489899885, "max_inter_event_gap_s": 3.491786817990942, "output_chars": 1592, "output_preview": "The payload is just \"alpha\" repeated many times, ending with FINAL-FACT. Summarize, repeat the code once, mention FINAL-FACT.**Summary:** The payload consists o", "output_sha256": "bb6b39d63e1d97ba7023359ace719904ee1a106f9bd777573b04a37a6bbb208a", "own_request_marker": true, "prompt_sha256": "ecb41e1e0b11228954fb0562210cda991c0840b2b203a904a9fbbd61d39be170", "prompt_tokens": 16384, "reached_requested_completion_tokens": true, "rejected_prediction_tokens": 0, "request_id": 2, "requested_completion_tokens": 400, "scheduled_s": 2.0, "started_s": 2.000447559985332, "ttft_s": 20.507060444011586, "visible_events": 397}, {"accepted_prediction_tokens": 326, "completion_tokens": 400, "decode_tok_s": 29.88395364035127, "effective_prefill_tok_s": 713.6114319671512, "elapsed_s": 36.31092044597608, "error": null, "finish_reason": "length", "foreign_request_markers": [], "inter_event_gap_p95_s": 0.19178642801125534, "max_inter_event_gap_s": 0.20044650399358943, "output_chars": 992, "output_preview": "Summarize: payload is \"alpha\" repeated many times. Include GLMISO-3038537FB433435C25B6 once and FINAL-FACT.**Summary:** The payload consists of the word \"alpha\"", "output_sha256": "9efb52f83cbce53d4e4f398e9354fdfbb5318621757275cde67bbc15af7738fb", "own_request_marker": true, "prompt_sha256": "6abd2492d9824eece1236f162e5dda2062da3551d6675733a6f9c52e6366204d", "prompt_tokens": 16384, "reached_requested_completion_tokens": true, "rejected_prediction_tokens": 0, "request_id": 3, "requested_completion_tokens": 400, "scheduled_s": 3.0, "started_s": 3.0004343570035417, "ttft_s": 22.95927344498341, "visible_events": 399}], "summary": {"aggregate_decode_tok_s": 64.37085063692027, "aggregate_effective_prefill_tok_s": 2524.5991148236058, "decode_tok_s_p50": 20.899878593114636, "decode_tok_s_sum": 88.44182662919319, "effective_prefill_tok_s_p50": 852.3653421949211, "successful": 4, "ttft_p50_s": 19.297605690007913, "ttft_p95_s": 22.95927344498341, "wall_s": 40.45895845798077}} diff --git a/results/2026-10-09-rc2/raw/multi-prod1.json b/results/2026-10-09-rc2/raw/multi-prod1.json new file mode 100644 index 0000000..85c73a6 --- /dev/null +++ b/results/2026-10-09-rc2/raw/multi-prod1.json @@ -0,0 +1 @@ +{"prose": {"tok_s": 41.16, "tok_step_mean": 2.415, "n": 12}, "code": {"tok_s": 61.83, "tok_step_mean": 4.959, "n": 12}} \ No newline at end of file diff --git a/results/2026-10-09-rc2/raw/multi-prod2.json b/results/2026-10-09-rc2/raw/multi-prod2.json new file mode 100644 index 0000000..8a4eb35 --- /dev/null +++ b/results/2026-10-09-rc2/raw/multi-prod2.json @@ -0,0 +1 @@ +{"prose": {"tok_s": 41.18, "tok_step_mean": 2.415, "n": 12}, "code": {"tok_s": 61.85, "tok_step_mean": 4.959, "n": 12}} \ No newline at end of file diff --git a/results/2026-10-09-rc2/raw/multi-rc2a.json b/results/2026-10-09-rc2/raw/multi-rc2a.json new file mode 100644 index 0000000..56fe8bd --- /dev/null +++ b/results/2026-10-09-rc2/raw/multi-rc2a.json @@ -0,0 +1 @@ +{"prose": {"tok_s": 42.95, "tok_step_mean": 2.505, "n": 12}, "code": {"tok_s": 61.77, "tok_step_mean": 4.849, "n": 12}} \ No newline at end of file diff --git a/results/2026-10-09-rc2/raw/multi-rc2b.json b/results/2026-10-09-rc2/raw/multi-rc2b.json new file mode 100644 index 0000000..e575ca8 --- /dev/null +++ b/results/2026-10-09-rc2/raw/multi-rc2b.json @@ -0,0 +1 @@ +{"prose": {"tok_s": 42.89, "tok_step_mean": 2.505, "n": 12}, "code": {"tok_s": 61.7, "tok_step_mean": 4.849, "n": 12}} \ No newline at end of file diff --git a/results/2026-10-09-rc2/raw/multi.log b/results/2026-10-09-rc2/raw/multi.log new file mode 100644 index 0000000..27a3fde --- /dev/null +++ b/results/2026-10-09-rc2/raw/multi.log @@ -0,0 +1,9 @@ +== s0_bv1q up: 56943 blocks × 16 tok/block = 911088 max KV tokens +prod1 {"prose": {"tok_s": 41.16, "tok_step_mean": 2.415, "n": 12}, "code": {"tok_s": 61.83, "tok_step_mean": 4.959, "n": 12}} +== s0_rc2 up: 57374 blocks × 16 tok/block = 917984 max KV tokens agree on 57028 +rc2a {"prose": {"tok_s": 42.95, "tok_step_mean": 2.505, "n": 12}, "code": {"tok_s": 61.77, "tok_step_mean": 4.849, "n": 12}} +== s0_bv1q up: 57923 blocks × 16 tok/block = 926768 max KV tokens agree on 57317 +prod2 {"prose": {"tok_s": 41.18, "tok_step_mean": 2.415, "n": 12}, "code": {"tok_s": 61.85, "tok_step_mean": 4.959, "n": 12}} +== s0_rc2 up: 56978 blocks × 16 tok/block = 911648 max KV tokens +rc2b {"prose": {"tok_s": 42.89, "tok_step_mean": 2.505, "n": 12}, "code": {"tok_s": 61.7, "tok_step_mean": 4.849, "n": 12}} +MULTI-DONE diff --git a/results/2026-10-09-rc2/raw/nsys-cmp.log b/results/2026-10-09-rc2/raw/nsys-cmp.log new file mode 100644 index 0000000..886bfd0 --- /dev/null +++ b/results/2026-10-09-rc2/raw/nsys-cmp.log @@ -0,0 +1,92 @@ +health: {"status":"ready","model":"glm-5.3-flash-atlas"} +prose x1: 96 tokens in 2.45s = 39.2 tok/s aggregate (under nsys) +code x1: 96 tokens in 1.69s = 56.8 tok/s aggregate (under nsys) +prose x1: 384 tokens in 9.44s = 40.7 tok/s aggregate (under nsys) +code x1: 384 tokens in 5.61s = 68.5 tok/s aggregate (under nsys) +Done: 96 tokens (length) 44.7 tok/s tok_step=2.526 +Done: 96 tokens (length) 69.0 tok/s tok_step=5.263 +Done: 384 tokens (length) 42.0 tok/s tok_step=2.394 +Done: 384 tokens (length) 72.6 tok/s tok_step=5.721 +== rank0 c1-prose +steps 157.3 step 59.9 ms busy 53.5 ms idle 6.4 ms + 18.78ms 42.7/st 439.5us glm_moe_decode_m16s_gate_up_silu_k128w_l2pf_p 48x1x1 + 9.13ms 181.4/st 50.4us w4a16_gemv_tc8_touch 256x1x1 + 9.11ms 42.7/st 213.1us glm_moe_decode_m16s_k128w_zskip_l2pf_p 48x1x1 + 2.21ms 11.2/st 197.7us mxfp8_gemv_tc8 256x1x1 + 2.09ms 74.1/st 28.2us rms_norm_vanilla_regs 3x1x1 + 1.76ms 43.0/st 40.9us w4a16_gemv_tc8_pair_touch 64x1x2 + 1.47ms 1.0/st 1448.7us mxfp8_gemv_tc8 4840x1x1 + 1.45ms 59.5/st 24.4us glm_hc_decode_finalize_ilp_bf16 3x1x1 + 1.30ms 43.0/st 30.1us moe_build_tile_worklist_scan 1x1x1 + 1.19ms 34.6/st 34.4us kda_recurrent_bf16_verify_rec_owners 32x1x1 + 1.19ms 43.0/st 27.6us moe_sort_by_expert_scan 1x1x1 + 1.18ms 34.6/st 34.1us dense_gemv_bf16_tc8_planes 256x1x2 + 0.96ms 27.8/st 34.4us quantize_bf16_to_nvfp4 3x1x1 + 0.90ms 6.1/st 145.8us w4a16_gemv_tc8 768x1x1 +== rank1 c1-prose +steps 157.3 step 59.9 ms busy 56.8 ms idle 3.1 ms +== rank0 c1-code +steps 67.4 step 82.7 ms busy 76.0 ms idle 6.7 ms + 31.84ms 42.4/st 751.3us glm_moe_decode_m16s_gate_up_silu_k128w_l2pf_p 48x1x1 + 15.33ms 42.4/st 361.8us glm_moe_decode_m16s_k128w_zskip_l2pf_p 48x1x1 + 9.45ms 180.2/st 52.4us w4a16_gemv_tc8_touch 256x1x1 + 2.33ms 11.1/st 209.6us mxfp8_gemv_tc8 256x1x1 + 1.91ms 87.8/st 21.7us rdma_oneshot_bf16 16x1x1 + 1.88ms 66.5/st 28.2us rms_norm_vanilla_regs 8x1x1 + 1.70ms 43.0/st 39.6us w4a16_gemv_tc8_pair_touch 64x1x2 + 1.55ms 34.3/st 45.2us kda_recurrent_bf16_verify_rec_owners 32x1x1 + 1.49ms 1.0/st 1477.7us mxfp8_gemv_tc8 4840x1x1 + 1.32ms 43.0/st 30.7us moe_build_tile_worklist_scan 1x1x1 + 1.27ms 0.6/st 2044.3us glm_moe_decode_m32s_gate_up_silu_k128w_l2pf_p 48x1x1 + 1.27ms 2.0/st 629.6us w4a16_gemm 64x1x1 + 1.23ms 43.0/st 28.6us moe_sort_by_expert_scan 1x1x1 + 1.21ms 53.4/st 22.7us glm_hc_decode_finalize_ilp_bf16 8x1x1 +== rank1 c1-code +steps 67.4 step 82.7 ms busy 79.4 ms idle 3.3 ms +NSYSDEV-DONE rc2n +health: {"status":"ready","model":"glm-5.3-flash-atlas"} +prose x1: 96 tokens in 2.53s = 37.9 tok/s aggregate (under nsys) +code x1: 96 tokens in 1.56s = 61.6 tok/s aggregate (under nsys) +prose x1: 384 tokens in 9.25s = 41.5 tok/s aggregate (under nsys) +code x1: 384 tokens in 5.27s = 72.9 tok/s aggregate (under nsys) +Done: 96 tokens (length) 43.2 tok/s tok_step=2.400 +Done: 96 tokens (length) 76.4 tok/s tok_step=5.647 +Done: 384 tokens (length) 42.9 tok/s tok_step=2.523 +Done: 384 tokens (length) 77.4 tok/s tok_step=6.210 +== rank0 c1-prose +steps 150.4 step 61.3 ms busy 54.9 ms idle 6.4 ms + 10.59ms 25.1/st 421.4us glm_moe_decode_m16s_gate_up_silu_k128w_l2pf 8x24x1 + 7.97ms 25.1/st 317.3us glm_moe_decode_m16s_k128w_zskip_l2pf 16x24x1 + 4.83ms 81.4/st 59.3us w4a16_gemv_batch3_touch 1024x1x1 + 4.78ms 9.2/st 519.1us glm_moe_decode_m16s_gate_up_silu_k128w_l2pf 8x32x1 + 4.12ms 86.8/st 47.5us w4a16_gemv_tc8_touch 256x1x1 + 3.24ms 34.6/st 93.5us kda_commit_records 32x1x1 + 3.23ms 5.3/st 609.3us glm_moe_decode_m16s_gate_up_silu_k128w_l2pf 8x40x1 + 3.22ms 9.2/st 349.9us glm_moe_decode_m16s_k128w_zskip_l2pf 16x32x1 + 2.15ms 11.2/st 192.1us mxfp8_gemv_tc8 256x1x1 + 2.04ms 5.3/st 384.8us glm_moe_decode_m16s_k128w_zskip_l2pf 16x40x1 + 1.92ms 67.0/st 28.7us rms_norm_vanilla_regs 3x1x1 + 1.66ms 42.7/st 38.8us w4a16_gemv_tc8_pair_touch 64x1x2 + 1.47ms 1.0/st 1448.2us mxfp8_gemv_tc8 4840x1x1 + 1.30ms 53.8/st 24.1us glm_hc_decode_finalize_ilp_bf16 3x1x1 +== rank1 c1-prose +steps 150.4 step 61.3 ms busy 58.5 ms idle 2.8 ms +== rank0 c1-code +steps 61.5 step 85.3 ms busy 78.5 ms idle 6.7 ms + 25.23ms 27.3/st 924.0us glm_moe_decode_m16s_gate_up_silu_k128w_l2pf 8x64x1 + 14.55ms 27.3/st 533.0us glm_moe_decode_m16s_k128w_zskip_l2pf 16x64x1 + 8.77ms 165.5/st 53.0us w4a16_gemv_tc8_touch 256x1x1 + 3.57ms 34.3/st 104.2us kda_commit_records 32x1x1 + 3.25ms 4.8/st 680.1us glm_moe_decode_m16s_gate_up_silu_k128w_l2pf 8x48x1 + 3.25ms 4.1/st 792.8us glm_moe_decode_m16s_gate_up_silu_k128w_l2pf 8x56x1 + 2.28ms 11.1/st 205.8us mxfp8_gemv_tc8 256x1x1 + 2.17ms 72.8/st 29.8us rms_norm_vanilla_regs 8x1x1 + 2.15ms 92.9/st 23.1us rdma_oneshot_bf16 16x1x1 + 2.00ms 4.8/st 419.6us glm_moe_decode_m16s_k128w_zskip_l2pf 16x48x1 + 1.90ms 4.1/st 464.9us glm_moe_decode_m16s_k128w_zskip_l2pf 16x56x1 + 1.60ms 42.3/st 37.9us w4a16_gemv_tc8_pair_touch 64x1x2 + 1.57ms 34.3/st 45.8us kda_recurrent_bf16_verify_rec_owners 32x1x1 + 1.49ms 1.0/st 1479.0us mxfp8_gemv_tc8 4840x1x1 +== rank1 c1-code +steps 61.5 step 85.2 ms busy 82.1 ms idle 3.2 ms +NSYSDEV-DONE prodn diff --git a/results/2026-10-09-rc2/raw/qbig-live-3d795.jsonl b/results/2026-10-09-rc2/raw/qbig-live-3d795.jsonl new file mode 100644 index 0000000..616dbca --- /dev/null +++ b/results/2026-10-09-rc2/raw/qbig-live-3d795.jsonl @@ -0,0 +1,524 @@ +{"tag": "live-3d795", "kind": "arith", "ok": true, "answer": "127479", "out": "4272 \u00d7 72 = 307,584\n3278 \u00d7 55 = 180,290\n307,584 \u2212 180,290 = 127,294\n127,294 + 185 = 127,479\n\nAnswer: 127479"} +{"tag": "live-3d795", "kind": "arith", "ok": true, "answer": "-304216", "out": "4157 \u00d7 96 = 399,072\n9781 \u00d7 72 = 704,232\n399,072 \u2212 704,232 = \u2212305,160\n\u2212305,160 + 944 = \u2212304,216\n\nAnswer: -304216"} +{"tag": "live-3d795", "kind": "arith", "ok": true, "answer": "-273978", "out": "4784 \u00d7 25 = 119,600\n8564 \u00d7 46 = 393,944\n119,600 \u2212 393,944 + 366 = \u2212273,978\n\nAnswer: -273978"} +{"tag": "live-3d795", "kind": "arith", "ok": true, "answer": "-270986", "out": "6599 \u00d7 51 = 336,549\n9807 \u00d7 62 = 608,034\n336,549 \u2212 608,034 = \u2212271,485\n\u2212271,485 + 499 = \u2212270,986\n\nAnswer: -270986"} +{"tag": "live-3d795", "kind": "arith", "ok": true, "answer": "707562", "out": "8743 \u00d7 95 = 8743 \u00d7 100 \u2212 8743 \u00d7 5 = 874300 \u2212 43715 = 830585\n1545 \u00d7 80 = 123600\n830585 \u2212 123600 + 577 = 706985 + 577 = 707562\n\nAnswer: 707562"} +{"tag": "live-3d795", "kind": "arith", "ok": true, "answer": "-280189", "out": "7620 \u00d7 38 = 289,560\n8383 \u00d7 68 = 570,044\n289,560 \u2212 570,044 + 295 = \u2212280,484 + 295 = \u2212280,189\n\nAnswer: -280189"} +{"tag": "live-3d795", "kind": "arith", "ok": true, "answer": "-98357", "out": "9614 \u00d7 47 = 384560 + 67298 = 451858\n6557 \u00d7 84 = 524560 + 26228 = 550788\n451858 \u2212 550788 + 573 = \u221298930 + 573 = \u221298357\n\nAnswer: -98357"} +{"tag": "live-3d795", "kind": "arith", "ok": true, "answer": "80466", "out": "6920 \u00d7 56 = 387,520\n4101 \u00d7 75 = 307,575\n387,520 \u2212 307,575 = 79,945\n79,945 + 521 = 80,466\n\nAnswer: 80466"} +{"tag": "live-3d795", "kind": "arith", "ok": true, "answer": "-623975", "out": "2497 \u00d7 40 = 99,880\n8836 \u00d7 82 = 8836 \u00d7 80 + 8836 \u00d7 2 = 706,880 + 17,672 = 724,552\n99,880 \u2212 724,552 + 697 = \u2212623,975\n\nAnswer: -623975"} +{"tag": "live-3d795", "kind": "arith", "ok": true, "answer": "-141392", "out": "6815 \u00d7 68 = 463,420\n9767 \u00d7 62 = 605,554\n463,420 \u2212 605,554 = \u2212142,134\n\u2212142,134 + 742 = \u2212141,392\n\nAnswer: -141392"} +{"tag": "live-3d795", "kind": "arith", "ok": true, "answer": "92995", "out": "2536 \u00d7 66 = 167,376\n2996 \u00d7 25 = 74,900\n167,376 \u2212 74,900 = 92,476\n92,476 + 519 = 92,995\n\nAnswer: 92995"} +{"tag": "live-3d795", "kind": "arith", "ok": true, "answer": "-547968", "out": "1240 \u00d7 62 = 76,880\n8021 \u00d7 78 = 625,638\n76,880 \u2212 625,638 + 790 = \u2212547,968\n\nAnswer: -547968"} +{"tag": "live-3d795", "kind": "arith", "ok": true, "answer": "235212", "out": "9224 \u00d7 38 = 350,512\n1484 \u00d7 78 = 115,752\n350,512 \u2212 115,752 = 234,760\n234,760 + 452 = 235,212\n\nAnswer: 235212"} +{"tag": "live-3d795", "kind": "arith", "ok": true, "answer": "673667", "out": "9821 \u00d7 85 = 834,785\n7022 \u00d7 23 = 161,506\n834,785 \u2212 161,506 = 673,279\n673,279 + 388 = 673,667\n\nAnswer: 673667"} +{"tag": "live-3d795", "kind": "arith", "ok": true, "answer": "56886", "out": "3867 \u00d7 53 = 204,951\n9878 \u00d7 15 = 148,170\n204,951 \u2212 148,170 = 56,781\n56,781 + 105 = 56,886\n\nAnswer: 56886"} +{"tag": "live-3d795", "kind": "arith", "ok": true, "answer": "143395", "out": "7180 \u00d7 55 = 394,900\n9685 \u00d7 26 = 251,810\n394,900 \u2212 251,810 = 143,090\n143,090 + 305 = 143,395\n\nAnswer: 143395"} +{"tag": "live-3d795", "kind": "arith", "ok": true, "answer": "318725", "out": "5848 \u00d7 92 = 538,016\n9544 \u00d7 23 = 219,512\n538,016 \u2212 219,512 = 318,504\n318,504 + 221 = 318,725\n\nAnswer: 318725"} +{"tag": "live-3d795", "kind": "arith", "ok": true, "answer": "-39725", "out": "3296 \u00d7 86 = 283,456\n7527 \u00d7 43 = 323,661\n283,456 \u2212 323,661 = \u221240,205\n\u221240,205 + 480 = \u221239,725\n\nAnswer: -39725"} +{"tag": "live-3d795", "kind": "arith", "ok": true, "answer": "-334277", "out": "1631 \u00d7 22 = 35,882\n7266 \u00d7 51 = 370,566\n35,882 \u2212 370,566 + 407 = \u2212334,277\n\nAnswer: -334277"} +{"tag": "live-3d795", "kind": "arith", "ok": true, "answer": "96722", "out": "4819 \u00d7 58 = 279,502\n4362 \u00d7 42 = 183,204\n279,502 \u2212 183,204 = 96,298\n96,298 + 424 = 96,722\n\nAnswer: 96722"} +{"tag": "live-3d795", "kind": "arith", "ok": true, "answer": "246652", "out": "7373 \u00d7 81 = 597,213\n4681 \u00d7 75 = 351,075\n597,213 \u2212 351,075 = 246,138\n246,138 + 514 = 246,652\n\nAnswer: 246652"} +{"tag": "live-3d795", "kind": "arith", "ok": true, "answer": "-12168", "out": "3021 \u00d7 30 = 90,630\n1754 \u00d7 59 = 103,486\n90,630 \u2212 103,486 = \u221212,856\n\u221212,856 + 688 = \u221212,168\n\nAnswer: -12168"} +{"tag": "live-3d795", "kind": "arith", "ok": true, "answer": "-178131", "out": "8963 \u00d7 35 = 313,705\n6316 \u00d7 78 = 492,648\n313,705 \u2212 492,648 = \u2212178,943\n\u2212178,943 + 812 = \u2212178,131\n\nAnswer: -178131"} +{"tag": "live-3d795", "kind": "arith", "ok": true, "answer": "-141191", "out": "2009 \u00d7 32 = 64,288\n3495 \u00d7 59 = 206,205\n64,288 \u2212 206,205 + 726 = \u2212141,191\n\nAnswer: -141191"} +{"tag": "live-3d795", "kind": "arith", "ok": true, "answer": "413187", "out": "8261 \u00d7 87 = 718,707\n8274 \u00d7 37 = 306,138\n718,707 \u2212 306,138 = 412,569\n412,569 + 618 = 413,187\n\nAnswer: 413187"} +{"tag": "live-3d795", "kind": "arith", "ok": true, "answer": "174429", "out": "9618 \u00d7 46 = 442,428\n9575 \u00d7 28 = 268,100\n442,428 \u2212 268,100 = 174,328\n174,328 + 101 = 174,429\n\nAnswer: 174429"} +{"tag": "live-3d795", "kind": "arith", "ok": true, "answer": "694177", "out": "9396 \u00d7 89 = 836,244\n2801 \u00d7 51 = 142,851\n836,244 \u2212 142,851 = 693,393\n693,393 + 784 = 694,177\n\nAnswer: 694177"} +{"tag": "live-3d795", "kind": "arith", "ok": true, "answer": "-404207", "out": "3082 \u00d7 43 = 132,526\n8808 \u00d7 61 = 537,288\n132,526 \u2212 537,288 = \u2212404,762\n\u2212404,762 + 555 = \u2212404,207\n\nAnswer: -404207"} +{"tag": "live-3d795", "kind": "arith", "ok": true, "answer": "-5781", "out": "8998 \u00d7 16 = 143,968\n7516 \u00d7 20 = 150,320\n143,968 \u2212 150,320 = \u22126,352\n\u22126,352 + 571 = \u22125,781\n\nAnswer: -5781"} +{"tag": "live-3d795", "kind": "arith", "ok": true, "answer": "195071", "out": "8437 \u00d7 43 = 362,791\n9878 \u00d7 17 = 167,926\n362,791 \u2212 167,926 = 194,865\n194,865 + 206 = 195,071\n\nAnswer: 195071"} +{"tag": "live-3d795", "kind": "arith", "ok": true, "answer": "498575", "out": "8841 \u00d7 74 = 654,234\n2270 \u00d7 69 = 156,630\n654,234 \u2212 156,630 = 497,604\n497,604 + 971 = 498,575\n\nAnswer: 498575"} +{"tag": "live-3d795", "kind": "arith", "ok": false, "answer": "-298374", "out": "5733 \u00d7 37 = 212,121\n6557 \u00d7 78 = 512,446\n212,121 \u2212 512,446 = \u2212300,325\n\u2212300,325 + 951 = \u2212299,374\n\nAnswer: -299374"} +{"tag": "live-3d795", "kind": "arith", "ok": true, "answer": "-285578", "out": "3759 \u00d7 30 = 112,770\n4748 \u00d7 84 = 398,832\n112,770 \u2212 398,832 + 484 = \u2212285,578\n\nAnswer: -285578"} +{"tag": "live-3d795", "kind": "arith", "ok": true, "answer": "372227", "out": "9482 \u00d7 71 = 673,222\n5389 \u00d7 56 = 301,784\n673,222 \u2212 301,784 = 371,438\n371,438 + 789 = 372,227\n\nAnswer: 372227"} +{"tag": "live-3d795", "kind": "arith", "ok": true, "answer": "294401", "out": "9313 \u00d7 35 = 325,955\n2445 \u00d7 13 = 31,785\n325,955 \u2212 31,785 = 294,170\n294,170 + 231 = 294,401\n\nAnswer: 294401"} +{"tag": "live-3d795", "kind": "arith", "ok": true, "answer": "8632", "out": "9 = 7123 \u00d7 60 \u2212 7123 = 427380 \u2212 7123 = 420257\n6538 \u00d7 63 = 6538 \u00d7 60 + 6538 \u00d7 3 = 392280 + 19614 = 411894\n420257 \u2212 411894 + 269 = 8363 + 269 = 8632\n\nAnswer: 8632"} +{"tag": "live-3d795", "kind": "arith", "ok": true, "answer": "-175422", "out": "1542 \u00d7 70 = 107,940\n3341 \u00d7 85 = 283,985\n107,940 \u2212 283,985 = \u2212176,045\n\u2212176,045 + 623 = \u2212175,422\n\nAnswer: -175422"} +{"tag": "live-3d795", "kind": "arith", "ok": true, "answer": "279720", "out": "7878 \u00d7 84 = 661,752\n7498 \u00d7 51 = 382,398\n661,752 \u2212 382,398 = 279,354\n279,354 + 366 = 279,720\n\nAnswer: 279720"} +{"tag": "live-3d795", "kind": "arith", "ok": true, "answer": "9309", "out": "4696 \u00d7 16 = 75136\n5089 \u00d7 13 = 66157\n75136 \u2212 66157 = 8979\n8979 + 330 = 9309\n\nAnswer: 9309"} +{"tag": "live-3d795", "kind": "arith", "ok": true, "answer": "-667458", "out": "1092 \u00d7 23 = 25116\n8356 \u00d7 83 = 693548\n25116 \u2212 693548 + 974 = \u2212667458\n\nAnswer: -667458"} +{"tag": "live-3d795", "kind": "arith", "ok": true, "answer": "-18250", "out": "2381 \u00d7 44 = 104,764\n4573 \u00d7 27 = 123,471\n104,764 \u2212 123,471 = \u221218,707\n\u221218,707 + 457 = \u221218,250\n\nAnswer: -18250"} +{"tag": "live-3d795", "kind": "arith", "ok": true, "answer": "-255590", "out": "3537 \u00d7 48 = 169,776\n8526 \u00d7 50 = 426,300\n169,776 \u2212 426,300 = \u2212256,524\n\u2212256,524 + 934 = \u2212255,590\n\nAnswer: -255590"} +{"tag": "live-3d795", "kind": "arith", "ok": true, "answer": "8901", "out": "7352 \u00d7 26 = 191,152\n6531 \u00d7 28 = 182,868\n191,152 \u2212 182,868 = 8,284\n8,284 + 617 = 8,901\n\nAnswer: 8901"} +{"tag": "live-3d795", "kind": "arith", "ok": true, "answer": "207838", "out": "4139 \u00d7 82 = 339,398\n3384 \u00d7 39 = 131,976\n339,398 \u2212 131,976 = 207,422\n207,422 + 416 = 207,838\n\nAnswer: 207838"} +{"tag": "live-3d795", "kind": "arith", "ok": true, "answer": "118031", "out": "7744 \u00d7 44 = 340,736\n3096 \u00d7 72 = 222,912\n340,736 \u2212 222,912 = 117,824\n117,824 + 207 = 118,031\n\nAnswer: 118031"} +{"tag": "live-3d795", "kind": "arith", "ok": true, "answer": "-206328", "out": "4509 \u00d7 42 = 189,378\n4456 \u00d7 89 = 396,584\n189,378 \u2212 396,584 = \u2212207,206\n\u2212207,206 + 878 = \u2212206,328\n\nAnswer: -206328"} +{"tag": "live-3d795", "kind": "arith", "ok": true, "answer": "156178", "out": "2543 \u00d7 78 = 198,354\n1470 \u00d7 29 = 42,630\n198,354 \u2212 42,630 = 155,724\n155,724 + 454 = 156,178\n\nAnswer: 156178"} +{"tag": "live-3d795", "kind": "arith", "ok": true, "answer": "-444244", "out": "\u00d7 50 \u2212 5621 = 281050 \u2212 5621 = 275429\n8674 \u00d7 83 = 8674 \u00d7 80 + 8674 \u00d7 3 = 693920 + 26022 = 719942\n275429 \u2212 719942 + 269 = \u2212444513 + 269 = \u2212444244\n\nAnswer: -444244"} +{"tag": "live-3d795", "kind": "arith", "ok": true, "answer": "578326", "out": "8557 \u00d7 91 = 778,687\n2683 \u00d7 75 = 201,225\n778,687 \u2212 201,225 = 577,462\n577,462 + 864 = 578,326\n\nAnswer: 578326"} +{"tag": "live-3d795", "kind": "arith", "ok": true, "answer": "-72649", "out": "1988 \u00d7 64 = 127,232\n3516 \u00d7 57 = 200,412\n127,232 \u2212 200,412 + 531 = \u221272,649\n\nAnswer: -72649"} +{"tag": "live-3d795", "kind": "arith", "ok": true, "answer": "82613", "out": "5956 \u00d7 37 = 220,372\n3074 \u00d7 45 = 138,330\n220,372 \u2212 138,330 = 82,042\n82,042 + 571 = 82,613\n\nAnswer: 82613"} +{"tag": "live-3d795", "kind": "arith", "ok": true, "answer": "-661426", "out": "1565 \u00d7 86 = 134,590\n8952 \u00d7 89 = 796,728\n134,590 \u2212 796,728 + 712 = \u2212661,426\n\nAnswer: -661426"} +{"tag": "live-3d795", "kind": "arith", "ok": true, "answer": "353825", "out": "4485 \u00d7 92 = 412,620\n1167 \u00d7 51 = 59,517\n412,620 \u2212 59,517 = 353,103\n353,103 + 722 = 353,825\n\nAnswer: 353825"} +{"tag": "live-3d795", "kind": "arith", "ok": true, "answer": "-478664", "out": "1185 \u00d7 53 = 62,805\n9682 \u00d7 56 = 542,192\n62,805 \u2212 542,192 + 723 = \u2212478,664\n\nAnswer: -478664"} +{"tag": "live-3d795", "kind": "arith", "ok": true, "answer": "-369818", "out": "3056 \u00d7 18 = 55008\n5592 \u00d7 76 = 424992\n55008 \u2212 424992 + 166 = \u2212369818\n\nAnswer: -369818"} +{"tag": "live-3d795", "kind": "arith", "ok": true, "answer": "-196206", "out": "4991 \u00d7 64 = 319,424\n9379 \u00d7 55 = 515,845\n319,424 \u2212 515,845 + 215 = \u2212196,206\n\nAnswer: -196206"} +{"tag": "live-3d795", "kind": "arith", "ok": true, "answer": "109349", "out": "6059 \u00d7 43 = 260,537\n9495 \u00d7 16 = 151,920\n260,537 \u2212 151,920 = 108,617\n108,617 + 732 = 109,349\n\nAnswer: 109349"} +{"tag": "live-3d795", "kind": "arith", "ok": true, "answer": "-508849", "out": "3531 \u00d7 29 = 102,399\n7030 \u00d7 87 = 611,610\n102,399 \u2212 611,610 + 362 = \u2212508,849\n\nAnswer: -508849"} +{"tag": "live-3d795", "kind": "arith", "ok": true, "answer": "-215793", "out": "8739 \u00d7 46 = 401,994\n6644 \u00d7 93 = 617,892\n401,994 \u2212 617,892 = \u2212215,898\n\u2212215,898 + 105 = \u2212215,793\n\nAnswer: -215793"} +{"tag": "live-3d795", "kind": "arith", "ok": true, "answer": "-149639", "out": "2739 \u00d7 81 = 221,859\n7448 \u00d7 50 = 372,400\n221,859 \u2212 372,400 = \u2212150,541\n\u2212150,541 + 902 = \u2212149,639\n\nAnswer: -149639"} +{"tag": "live-3d795", "kind": "arith", "ok": true, "answer": "-493509", "out": "1069 \u00d7 72 = 76,968\n9681 \u00d7 59 = 571,179\n76,968 \u2212 571,179 + 702 = \u2212493,509\n\nAnswer: -493509"} +{"tag": "live-3d795", "kind": "arith", "ok": true, "answer": "247520", "out": "9836 \u00d7 41 = 403,276\n3329 \u00d7 47 = 156,463\n403,276 \u2212 156,463 = 246,813\n246,813 + 707 = 247,520\n\nAnswer: 247520"} +{"tag": "live-3d795", "kind": "arith", "ok": true, "answer": "-342401", "out": "8494 \u00d7 19 = 161,386\n8137 \u00d7 62 = 504,494\n161,386 \u2212 504,494 = \u2212343,108\n\u2212343,108 + 707 = \u2212342,401\n\nAnswer: -342401"} +{"tag": "live-3d795", "kind": "arith", "ok": true, "answer": "140848", "out": "9208 \u00d7 64 = 589,312\n8011 \u00d7 56 = 448,616\n589,312 \u2212 448,616 = 140,696\n140,696 + 152 = 140,848\n\nAnswer: 140848"} +{"tag": "live-3d795", "kind": "arith", "ok": true, "answer": "-56583", "out": "9266 \u00d7 29 = 268,714\n8153 \u00d7 40 = 326,120\n268,714 \u2212 326,120 = \u221257,406\n\u221257,406 + 823 = \u221256,583\n\nAnswer: -56583"} +{"tag": "live-3d795", "kind": "arith", "ok": true, "answer": "102922", "out": "4941 \u00d7 49 = 4941 \u00d7 50 \u2212 4941 = 247050 \u2212 4941 = 242109\n1700 \u00d7 82 = 139400\n242109 \u2212 139400 + 213 = 102709 + 213 = 102922\n\nAnswer: 102922"} +{"tag": "live-3d795", "kind": "arith", "ok": true, "answer": "422652", "out": "6485 \u00d7 79 = 6485 \u00d7 80 \u2212 6485 = 518800 \u2212 6485 = 512315\n6452 \u00d7 14 = 90328\n512315 \u2212 90328 = 421987\n421987 + 665 = 422652\n\nAnswer: 422652"} +{"tag": "live-3d795", "kind": "arith", "ok": true, "answer": "-841852", "out": "1084 \u00d7 19 = 20596\n9590 \u00d7 90 = 863100\n20596 \u2212 863100 + 652 = \u2212841852\n\nAnswer: -841852"} +{"tag": "live-3d795", "kind": "arith", "ok": true, "answer": "-190731", "out": "2036 \u00d7 60 = 122,160\n6817 \u00d7 46 = 313,582\n122,160 \u2212 313,582 = \u2212191,422\n\u2212191,422 + 691 = \u2212190,731\n\nAnswer: -190731"} +{"tag": "live-3d795", "kind": "arith", "ok": true, "answer": "-442645", "out": "5649 \u00d7 20 = 112,980\n6543 \u00d7 85 = 556,155\n112,980 \u2212 556,155 + 530 = \u2212442,645\n\nAnswer: -442645"} +{"tag": "live-3d795", "kind": "arith", "ok": true, "answer": "-436967", "out": "2764 \u00d7 68 = 187,952\n9071 \u00d7 69 = 625,899\n187,952 \u2212 625,899 = \u2212437,947\n\u2212437,947 + 980 = \u2212436,967\n\nAnswer: -436967"} +{"tag": "live-3d795", "kind": "arith", "ok": true, "answer": "-9608", "out": "7977 \u00d7 22 = 175,494\n4641 \u00d7 40 = 185,640\n175,494 \u2212 185,640 = \u221210,146\n\u221210,146 + 538 = \u22129,608\n\nAnswer: -9608"} +{"tag": "live-3d795", "kind": "arith", "ok": true, "answer": "-276130", "out": "6549 \u00d7 19 = 124,431\n4502 \u00d7 89 = 400,678\n124,431 \u2212 400,678 + 117 = \u2212276,130\n\nAnswer: -276130"} +{"tag": "live-3d795", "kind": "arith", "ok": true, "answer": "-86435", "out": "2979 \u00d7 18 = 53,622\n3117 \u00d7 45 = 140,265\n53,622 \u2212 140,265 + 208 = \u221286,643 + 208 = \u221286,435\n\nAnswer: -86435"} +{"tag": "live-3d795", "kind": "arith", "ok": true, "answer": "-62783", "out": "7101 \u00d7 50 = 355,050\n4756 \u00d7 88 = 418,528\n355,050 \u2212 418,528 = \u221263,478\n\u221263,478 + 695 = \u221262,783\n\nAnswer: -62783"} +{"tag": "live-3d795", "kind": "arith", "ok": true, "answer": "-243871", "out": "8751 \u00d7 35 = 306,285\n7987 \u00d7 69 = 551,103\n306,285 \u2212 551,103 = \u2212244,818\n\u2212244,818 + 947 = \u2212243,871\n\nAnswer: -243871"} +{"tag": "live-3d795", "kind": "arith", "ok": true, "answer": "-3678", "out": "6262 \u00d7 83 = 519,746\n6802 \u00d7 77 = 523,754\n519,746 \u2212 523,754 = \u22124,008\n\u22124,008 + 330 = \u22123,678\n\nAnswer: -3678"} +{"tag": "live-3d795", "kind": "arith", "ok": true, "answer": "70039", "out": "6729 \u00d7 26 = 174,954\n4232 \u00d7 25 = 105,800\n174,954 \u2212 105,800 = 69,154\n69,154 + 885 = 70,039\n\nAnswer: 70039"} +{"tag": "live-3d795", "kind": "arith", "ok": true, "answer": "217969", "out": "7403 \u00d7 39 = 288,717\n1578 \u00d7 45 = 71,010\n288,717 \u2212 71,010 = 217,707\n217,707 + 262 = 217,969\n\nAnswer: 217969"} +{"tag": "live-3d795", "kind": "arith", "ok": true, "answer": "-535832", "out": "3101 \u00d7 21 = 65,121\n7078 \u00d7 85 = 601,630\n65,121 \u2212 601,630 + 677 = \u2212535,832\n\nAnswer: -535832"} +{"tag": "live-3d795", "kind": "arith", "ok": true, "answer": "-399527", "out": "2072 \u00d7 21 = 43,512\n5412 \u00d7 82 = 443,784\n43,512 \u2212 443,784 + 745 = \u2212399,527\n\nAnswer: -399527"} +{"tag": "live-3d795", "kind": "arith", "ok": true, "answer": "699635", "out": "9260 \u00d7 81 = 750,060\n1746 \u00d7 29 = 50,634\n750,060 \u2212 50,634 = 699,426\n699,426 + 209 = 699,635\n\nAnswer: 699635"} +{"tag": "live-3d795", "kind": "arith", "ok": true, "answer": "-28431", "out": "7702 \u00d7 24 = 184,848\n3395 \u00d7 63 = 213,885\n184,848 \u2212 213,885 = \u221229,037\n\u221229,037 + 606 = \u221228,431\n\nAnswer: -28431"} +{"tag": "live-3d795", "kind": "arith", "ok": true, "answer": "-508214", "out": "3937 \u00d7 22 = 86,614\n6761 \u00d7 88 = 594,968\n86,614 \u2212 594,968 + 140 = \u2212508,214\n\nAnswer: -508214"} +{"tag": "live-3d795", "kind": "arith", "ok": true, "answer": "-34371", "out": "1796 \u00d7 59 = 105,964\n1579 \u00d7 89 = 140,531\n105,964 \u2212 140,531 + 196 = \u221234,567 + 196 = \u221234,371\n\nAnswer: -34371"} +{"tag": "live-3d795", "kind": "arith", "ok": true, "answer": "-436419", "out": "4693 \u00d7 28 = 131,404\n7016 \u00d7 81 = 568,296\n131,404 \u2212 568,296 = \u2212436,892\n\u2212436,892 + 473 = \u2212436,419\n\nAnswer: -436419"} +{"tag": "live-3d795", "kind": "arith", "ok": false, "answer": "-258818", "out": "7592 \u00d7 68 = 516,256\n8622 \u00d7 90 = 775,980\n516,256 \u2212 775,980 + 90 = \u2212259,634\n\nAnswer: -259634"} +{"tag": "live-3d795", "kind": "arith", "ok": true, "answer": "-162977", "out": "2721 \u00d7 52 = 141,492\n4236 \u00d7 72 = 304,992\n141,492 \u2212 304,992 = \u2212163,500\n\u2212163,500 + 523 = \u2212162,977\n\nAnswer: -162977"} +{"tag": "live-3d795", "kind": "arith", "ok": true, "answer": "-17547", "out": "3533 \u00d7 37 = 130,721\n6212 \u00d7 24 = 149,088\n130,721 \u2212 149,088 + 820 = \u221217,547\n\nAnswer: -17547"} +{"tag": "live-3d795", "kind": "arith", "ok": true, "answer": "429633", "out": "7388 \u00d7 90 = 664,920\n3863 \u00d7 61 = 235,643\n664,920 \u2212 235,643 = 429,277\n429,277 + 356 = 429,633\n\nAnswer: 429633"} +{"tag": "live-3d795", "kind": "arith", "ok": true, "answer": "230233", "out": "5797 \u00d7 52 = 301,444\n1717 \u00d7 42 = 72,114\n301,444 \u2212 72,114 = 229,330\n229,330 + 903 = 230,233\n\nAnswer: 230233"} +{"tag": "live-3d795", "kind": "arith", "ok": true, "answer": "272208", "out": "7515 \u00d7 66 = 495,990\n3806 \u00d7 59 = 224,554\n495,990 \u2212 224,554 = 271,436\n271,436 + 772 = 272,208\n\nAnswer: 272208"} +{"tag": "live-3d795", "kind": "arith", "ok": true, "answer": "69180", "out": "6269 \u00d7 86 = 539,134\n5957 \u00d7 79 = 470,603\n539,134 \u2212 470,603 = 68,531\n68,531 + 649 = 69,180\n\nAnswer: 69180"} +{"tag": "live-3d795", "kind": "arith", "ok": true, "answer": "334363", "out": "9677 \u00d7 47 = 454,819\n4179 \u00d7 29 = 121,191\n454,819 \u2212 121,191 = 333,628\n333,628 + 735 = 334,363\n\nAnswer: 334363"} +{"tag": "live-3d795", "kind": "arith", "ok": true, "answer": "-208826", "out": "8737 \u00d7 38 = 332,006\n9331 \u00d7 58 = 541,198\n332,006 \u2212 541,198 + 366 = \u2212208,826\n\nAnswer: -208826"} +{"tag": "live-3d795", "kind": "arith", "ok": true, "answer": "424966", "out": "9390 \u00d7 62 = 582,180\n2876 \u00d7 55 = 158,180\n582,180 \u2212 158,180 = 424,000\n424,000 + 966 = 424,966\n\nAnswer: 424966"} +{"tag": "live-3d795", "kind": "arith", "ok": true, "answer": "-97123", "out": "4546 \u00d7 62 = 281,852\n8820 \u00d7 43 = 379,260\n281,852 \u2212 379,260 = \u221297,408\n\u221297,408 + 285 = \u221297,123\n\nAnswer: -97123"} +{"tag": "live-3d795", "kind": "arith", "ok": true, "answer": "388079", "out": "5602 \u00d7 86 = 481,772\n4503 \u00d7 21 = 94,563\n481,772 \u2212 94,563 = 387,209\n387,209 + 870 = 388,079\n\nAnswer: 388079"} +{"tag": "live-3d795", "kind": "arith", "ok": true, "answer": "543005", "out": "9107 \u00d7 75 = 683,025\n4390 \u00d7 32 = 140,480\n683,025 \u2212 140,480 = 542,545\n542,545 + 460 = 543,005\n\nAnswer: 543005"} +{"tag": "live-3d795", "kind": "arith", "ok": true, "answer": "146332", "out": "4 \u00d7 80 \u2212 9084 = 726720 \u2212 9084 = 717636\n5957 \u00d7 96 = 5957 \u00d7 100 \u2212 5957 \u00d7 4 = 595700 \u2212 23828 = 571872\n717636 \u2212 571872 + 568 = 145764 + 568 = 146332\n\nAnswer: 146332"} +{"tag": "live-3d795", "kind": "arith", "ok": true, "answer": "255979", "out": "7937 \u00d7 49 = 7937 \u00d7 50 \u2212 7937 = 396850 \u2212 7937 = 388913\n1374 \u00d7 97 = 1374 \u00d7 100 \u2212 1374 \u00d7 3 = 137400 \u2212 4122 = 133278\n388913 \u2212 133278 + 344 = 255979\n\nAnswer: 255979"} +{"tag": "live-3d795", "kind": "arith", "ok": true, "answer": "164363", "out": "8136 \u00d7 62 = 504,432\n9454 \u00d7 36 = 340,344\n504,432 \u2212 340,344 = 164,088\n164,088 + 275 = 164,363\n\nAnswer: 164363"} +{"tag": "live-3d795", "kind": "arith", "ok": true, "answer": "69475", "out": "7304 \u00d7 45 = 328,680\n3325 \u00d7 78 = 259,350\n328,680 \u2212 259,350 = 69,330\n69,330 + 145 = 69,475\n\nAnswer: 69475"} +{"tag": "live-3d795", "kind": "arith", "ok": true, "answer": "265189", "out": "9468 \u00d7 55 = 520,740\n2724 \u00d7 94 = 256,056\n520,740 \u2212 256,056 = 264,684\n264,684 + 505 = 265,189\n\nAnswer: 265189"} +{"tag": "live-3d795", "kind": "arith", "ok": true, "answer": "201199", "out": "8003 \u00d7 42 = 336,126\n2649 \u00d7 51 = 135,099\n336,126 \u2212 135,099 = 201,027\n201,027 + 172 = 201,199\n\nAnswer: 201199"} +{"tag": "live-3d795", "kind": "arith", "ok": true, "answer": "360799", "out": "7206 \u00d7 83 = 598,098\n2676 \u00d7 89 = 238,164\n598,098 \u2212 238,164 = 359,934\n359,934 + 865 = 360,799\n\nAnswer: 360799"} +{"tag": "live-3d795", "kind": "arith", "ok": true, "answer": "-151125", "out": "2884 \u00d7 78 = 224,952\n5799 \u00d7 65 = 376,935\n224,952 \u2212 376,935 = \u2212151,983\n\u2212151,983 + 858 = \u2212151,125\n\nAnswer: -151125"} +{"tag": "live-3d795", "kind": "arith", "ok": true, "answer": "472793", "out": "8288 \u00d7 75 = 621,600\n2823 \u00d7 53 = 149,619\n621,600 \u2212 149,619 = 471,981\n471,981 + 812 = 472,793\n\nAnswer: 472793"} +{"tag": "live-3d795", "kind": "arith", "ok": true, "answer": "-2846", "out": "1193 \u00d7 91 = 108,563\n3018 \u00d7 37 = 111,666\n108,563 \u2212 111,666 + 257 = \u22122,846\n\nAnswer: -2846"} +{"tag": "live-3d795", "kind": "arith", "ok": true, "answer": "760889", "out": "9595 \u00d7 83 = 796,385\n1919 \u00d7 19 = 36,461\n796,385 \u2212 36,461 = 759,924\n759,924 + 965 = 760,889\n\nAnswer: 760889"} +{"tag": "live-3d795", "kind": "arith", "ok": true, "answer": "19454", "out": "8296 \u00d7 21 = 174,216\n4699 \u00d7 33 = 155,067\n174,216 \u2212 155,067 = 19,149\n19,149 + 305 = 19,454\n\nAnswer: 19454"} +{"tag": "live-3d795", "kind": "arith", "ok": true, "answer": "102142", "out": "5351 \u00d7 57 = 5351 \u00d7 50 + 5351 \u00d7 7 = 267,550 + 37,457 = 305,007\n8120 \u00d7 25 = 203,000\n305,007 \u2212 203,000 + 135 = 102,142\n\nAnswer: 102142"} +{"tag": "live-3d795", "kind": "arith", "ok": true, "answer": "354424", "out": "9737 \u00d7 90 = 876,330\n9682 \u00d7 54 = 522,828\n876,330 \u2212 522,828 = 353,502\n353,502 + 922 = 354,424\n\nAnswer: 354424"} +{"tag": "live-3d795", "kind": "arith", "ok": true, "answer": "160620", "out": "5488 \u00d7 40 = 219,520\n3152 \u00d7 19 = 59,888\n219,520 \u2212 59,888 = 159,632\n159,632 + 988 = 160,620\n\nAnswer: 160620"} +{"tag": "live-3d795", "kind": "arith", "ok": true, "answer": "-249458", "out": "3392 \u00d7 13 = 44,096\n5547 \u00d7 53 = 293,991\n44,096 \u2212 293,991 + 437 = \u2212249,458\n\nAnswer: -249458"} +{"tag": "live-3d795", "kind": "arith", "ok": true, "answer": "-138072", "out": "9911 \u00d7 20 = 198,220\n5806 \u00d7 58 = 336,748\n198,220 \u2212 336,748 = \u2212138,528\n\u2212138,528 + 456 = \u2212138,072\n\nAnswer: -138072"} +{"tag": "live-3d795", "kind": "arith", "ok": true, "answer": "19304", "out": "1514 \u00d7 38 = 57,532\n2798 \u00d7 14 = 39,172\n57,532 \u2212 39,172 = 18,360\n18,360 + 944 = 19,304\n\nAnswer: 19304"} +{"tag": "live-3d795", "kind": "arith", "ok": true, "answer": "-98662", "out": "2276 \u00d7 13 = 29,588\n3386 \u00d7 38 = 128,668\n29,588 \u2212 128,668 + 418 = \u221298,662\n\nAnswer: -98662"} +{"tag": "live-3d795", "kind": "arith", "ok": true, "answer": "-449406", "out": "1424 \u00d7 34 = 48,416\n7546 \u00d7 66 = 498,036\n48,416 \u2212 498,036 + 214 = \u2212449,406\n\nAnswer: -449406"} +{"tag": "live-3d795", "kind": "arith", "ok": true, "answer": "309608", "out": "9594 \u00d7 87 = 834,678\n7407 \u00d7 71 = 525,897\n834,678 \u2212 525,897 = 308,781\n308,781 + 827 = 309,608\n\nAnswer: 309608"} +{"tag": "live-3d795", "kind": "arith", "ok": true, "answer": "-215693", "out": "9808 \u00d7 48 = 470,784\n9957 \u00d7 69 = 687,033\n470,784 \u2212 687,033 + 556 = \u2212215,693\n\nAnswer: -215693"} +{"tag": "live-3d795", "kind": "arith", "ok": true, "answer": "126970", "out": "9613 \u00d7 89 = 9613 \u00d7 90 \u2212 9613 = 865170 \u2212 9613 = 855557\n9720 \u00d7 75 = 729000\n855557 \u2212 729000 + 413 = 126970\n\nAnswer: 126970"} +{"tag": "live-3d795", "kind": "arith", "ok": true, "answer": "38771", "out": "2191 \u00d7 60 = 131,460\n2745 \u00d7 34 = 93,330\n131,460 \u2212 93,330 = 38,130\n38,130 + 641 = 38,771\n\nAnswer: 38771"} +{"tag": "live-3d795", "kind": "arith", "ok": true, "answer": "-743614", "out": "1429 \u00d7 64 = 91,456\n9493 \u00d7 88 = 835,384\n91,456 \u2212 835,384 + 314 = \u2212743,614\n\nAnswer: -743614"} +{"tag": "live-3d795", "kind": "arith", "ok": true, "answer": "340236", "out": "5460 \u00d7 93 = 507,780\n2853 \u00d7 59 = 168,327\n507,780 \u2212 168,327 = 339,453\n339,453 + 783 = 340,236\n\nAnswer: 340236"} +{"tag": "live-3d795", "kind": "arith", "ok": true, "answer": "106833", "out": "9818 \u00d7 20 = 196,360\n2917 \u00d7 31 = 90,427\n196,360 \u2212 90,427 = 105,933\n105,933 + 900 = 106,833\n\nAnswer: 106833"} +{"tag": "live-3d795", "kind": "arith", "ok": true, "answer": "46981", "out": "9296 \u00d7 25 = 232,400\n2824 \u00d7 66 = 186,384\n232,400 \u2212 186,384 = 46,016\n46,016 + 965 = 46,981\n\nAnswer: 46981"} +{"tag": "live-3d795", "kind": "arith", "ok": true, "answer": "700873", "out": "9331 \u00d7 89 = 9331 \u00d7 90 \u2212 9331 = 839,790 \u2212 9,331 = 830,459\n8121 \u00d7 16 = 129,936\n830,459 \u2212 129,936 = 700,523\n700,523 + 350 = 700,873\n\nAnswer: 700873"} +{"tag": "live-3d795", "kind": "arith", "ok": true, "answer": "17440", "out": "2327 \u00d7 44 = 102,388\n2130 \u00d7 40 = 85,200\n102,388 \u2212 85,200 = 17,188\n17,188 + 252 = 17,440\n\nAnswer: 17440"} +{"tag": "live-3d795", "kind": "arith", "ok": true, "answer": "-98639", "out": "2233 \u00d7 33 = 73,689\n1836 \u00d7 94 = 172,584\n73,689 \u2212 172,584 + 256 = \u221298,639\n\nAnswer: -98639"} +{"tag": "live-3d795", "kind": "arith", "ok": true, "answer": "-64110", "out": "2713 \u00d7 45 = 122,085\n3063 \u00d7 61 = 186,843\n122,085 \u2212 186,843 = \u221264,758\n\u221264,758 + 648 = \u221264,110\n\nAnswer: -64110"} +{"tag": "live-3d795", "kind": "arith", "ok": true, "answer": "-157733", "out": "1446 \u00d7 74 = 107,004\n3157 \u00d7 84 = 265,188\n107,004 \u2212 265,188 = \u2212158,184\n\u2212158,184 + 451 = \u2212157,733\n\nAnswer: -157733"} +{"tag": "live-3d795", "kind": "arith", "ok": true, "answer": "-22155", "out": "6595 \u00d7 18 = 118,710\n2670 \u00d7 53 = 141,510\n118,710 \u2212 141,510 + 645 = \u221222,800 + 645 = \u221222,155\n\nAnswer: -22155"} +{"tag": "live-3d795", "kind": "arith", "ok": true, "answer": "77674", "out": "6322 \u00d7 47 = 6322 \u00d7 40 + 6322 \u00d7 7 = 252,880 + 44,254 = 297,134\n8791 \u00d7 25 = 219,775\n297,134 \u2212 219,775 = 77,359\n77,359 + 315 = 77,674\n\nAnswer: 77674"} +{"tag": "live-3d795", "kind": "arith", "ok": true, "answer": "-181863", "out": "7224 \u00d7 30 = 216,720\n9068 \u00d7 44 = 398,992\n216,720 \u2212 398,992 = \u2212182,272\n\u2212182,272 + 409 = \u2212181,863\n\nAnswer: -181863"} +{"tag": "live-3d795", "kind": "arith", "ok": true, "answer": "655369", "out": "8363 \u00d7 86 = 719,218\n4979 \u00d7 13 = 64,727\n719,218 \u2212 64,727 = 654,491\n654,491 + 878 = 655,369\n\nAnswer: 655369"} +{"tag": "live-3d795", "kind": "arith", "ok": true, "answer": "-492938", "out": "1577 \u00d7 96 = 151,392\n7090 \u00d7 91 = 645,190\n151,392 \u2212 645,190 + 860 = \u2212492,938\n\nAnswer: -492938"} +{"tag": "live-3d795", "kind": "arith", "ok": true, "answer": "-102857", "out": "3598 \u00d7 14 = 50,372\n2751 \u00d7 56 = 154,056\n50,372 \u2212 154,056 = \u2212103,684\n\u2212103,684 + 827 = \u2212102,857\n\nAnswer: -102857"} +{"tag": "live-3d795", "kind": "arith", "ok": true, "answer": "302260", "out": "89 = 4285 \u00d7 90 \u2212 4285 = 385650 \u2212 4285 = 381365\n1621 \u00d7 49 = 1621 \u00d7 50 \u2212 1621 = 81050 \u2212 1621 = 79429\n381365 \u2212 79429 = 301936\n301936 + 324 = 302260\n\nAnswer: 302260"} +{"tag": "live-3d795", "kind": "arith", "ok": true, "answer": "-386616", "out": "1521 \u00d7 47 = 71,487\n9547 \u00d7 48 = 458,256\n71,487 \u2212 458,256 + 153 = \u2212386,616\n\nAnswer: -386616"} +{"tag": "live-3d795", "kind": "arith", "ok": true, "answer": "91849", "out": "4437 \u00d7 86 = 381,582\n3769 \u00d7 77 = 290,213\n381,582 \u2212 290,213 = 91,369\n91,369 + 480 = 91,849\n\nAnswer: 91849"} +{"tag": "live-3d795", "kind": "arith", "ok": true, "answer": "468740", "out": "8388 \u00d7 73 = 612,324\n2121 \u00d7 68 = 144,228\n612,324 \u2212 144,228 = 468,096\n468,096 + 644 = 468,740\n\nAnswer: 468740"} +{"tag": "live-3d795", "kind": "arith", "ok": true, "answer": "-30267", "out": "9530 \u00d7 50 = 476,500\n6764 \u00d7 75 = 507,300\n476,500 \u2212 507,300 = \u221230,800\n\u221230,800 + 533 = \u221230,267\n\nAnswer: -30267"} +{"tag": "live-3d795", "kind": "arith", "ok": true, "answer": "-581995", "out": "4968 \u00d7 24 = 119,232\n7973 \u00d7 88 = 701,624\n119,232 \u2212 701,624 + 397 = \u2212581,995\n\nAnswer: -581995"} +{"tag": "live-3d795", "kind": "arith", "ok": true, "answer": "189476", "out": "= 3908 \u00d7 90 \u2212 3908 = 351720 \u2212 3908 = 347812\n5124 \u00d7 31 = 5124 \u00d7 30 + 5124 = 153720 + 5124 = 158844\n347812 \u2212 158844 = 188968\n188968 + 508 = 189476\n\nAnswer: 189476"} +{"tag": "live-3d795", "kind": "arith", "ok": true, "answer": "-90211", "out": "1745 \u00d7 30 = 52,350\n4344 \u00d7 33 = 143,352\n52,350 \u2212 143,352 + 791 = \u221290,211\n\nAnswer: -90211"} +{"tag": "live-3d795", "kind": "arith", "ok": true, "answer": "-210835", "out": "1329 \u00d7 25 = 33,225\n5693 \u00d7 43 = 244,799\n33,225 \u2212 244,799 = \u2212211,574\n\u2212211,574 + 739 = \u2212210,835\n\nAnswer: -210835"} +{"tag": "live-3d795", "kind": "arith", "ok": true, "answer": "542193", "out": "8556 \u00d7 77 = 658,812\n2057 \u00d7 57 = 117,249\n658,812 \u2212 117,249 = 541,563\n541,563 + 630 = 542,193\n\nAnswer: 542193"} +{"tag": "live-3d795", "kind": "arith", "ok": true, "answer": "-133948", "out": "9213 \u00d7 51 = 469,863\n6943 \u00d7 87 = 604,041\n469,863 \u2212 604,041 = \u2212134,178\n\u2212134,178 + 230 = \u2212133,948\n\nAnswer: -133948"} +{"tag": "live-3d795", "kind": "arith", "ok": true, "answer": "13475", "out": "5684 \u00d7 21 = 119,364\n1538 \u00d7 69 = 106,122\n119,364 \u2212 106,122 = 13,242\n13,242 + 233 = 13,475\n\nAnswer: 13475"} +{"tag": "live-3d795", "kind": "arith", "ok": true, "answer": "-348585", "out": "2362 \u00d7 32 = 75,584\n9444 \u00d7 45 = 424,980\n75,584 \u2212 424,980 + 811 = \u2212348,585\n\nAnswer: -348585"} +{"tag": "live-3d795", "kind": "arith", "ok": true, "answer": "130069", "out": "4025 \u00d7 73 = 293,825\n6329 \u00d7 26 = 164,554\n293,825 \u2212 164,554 = 129,271\n129,271 + 798 = 130,069\n\nAnswer: 130069"} +{"tag": "live-3d795", "kind": "arith", "ok": true, "answer": "61744", "out": "6867 \u00d7 88 = 604,296\n9204 \u00d7 59 = 543,036\n604,296 \u2212 543,036 = 61,260\n61,260 + 484 = 61,744\n\nAnswer: 61744"} +{"tag": "live-3d795", "kind": "arith", "ok": true, "answer": "-645458", "out": "2102 \u00d7 25 = 52,550\n9440 \u00d7 74 = 698,560\n52,550 \u2212 698,560 + 552 = \u2212645,458\n\nAnswer: -645458"} +{"tag": "live-3d795", "kind": "arith", "ok": true, "answer": "-249431", "out": "3878 \u00d7 29 = 112,462\n7887 \u00d7 46 = 362,802\n112,462 \u2212 362,802 + 909 = \u2212249,431\n\nAnswer: -249431"} +{"tag": "live-3d795", "kind": "arith", "ok": true, "answer": "-166098", "out": "1888 \u00d7 62 = 117,056\n4886 \u00d7 58 = 283,388\n117,056 \u2212 283,388 = \u2212166,332\n\u2212166,332 + 234 = \u2212166,098\n\nAnswer: -166098"} +{"tag": "live-3d795", "kind": "arith", "ok": true, "answer": "602804", "out": "7560 \u00d7 85 = 642,600\n2366 \u00d7 17 = 40,222\n642,600 \u2212 40,222 = 602,378\n602,378 + 426 = 602,804\n\nAnswer: 602804"} +{"tag": "live-3d795", "kind": "arith", "ok": true, "answer": "-186087", "out": "1142 \u00d7 19 = 21,698\n7438 \u00d7 28 = 208,264\n21,698 \u2212 208,264 + 479 = 22,177 \u2212 208,264 = \u2212186,087\n\nAnswer: -186087"} +{"tag": "live-3d795", "kind": "arith", "ok": true, "answer": "-378261", "out": "5550 \u00d7 16 = 88,800\n5312 \u00d7 88 = 467,456\n88,800 \u2212 467,456 + 395 = \u2212378,261\n\nAnswer: -378261"} +{"tag": "live-3d795", "kind": "arith", "ok": true, "answer": "266720", "out": "6352 \u00d7 90 = 571,680\n7106 \u00d7 43 = 305,558\n571,680 \u2212 305,558 = 266,122\n266,122 + 598 = 266,720\n\nAnswer: 266720"} +{"tag": "live-3d795", "kind": "arith", "ok": true, "answer": "118843", "out": "7058 \u00d7 94 = 663,452\n9904 \u00d7 55 = 544,720\n663,452 \u2212 544,720 = 118,732\n118,732 + 111 = 118,843\n\nAnswer: 118843"} +{"tag": "live-3d795", "kind": "arith", "ok": true, "answer": "529378", "out": "8839 \u00d7 97 = 8839 \u00d7 100 \u2212 8839 \u00d7 3 = 883900 \u2212 26517 = 857383\n3690 \u00d7 89 = 3690 \u00d7 90 \u2212 3690 = 332100 \u2212 3690 = 328410\n857383 \u2212 328410 + 405 = 529378\n\nAnswer: 529378"} +{"tag": "live-3d795", "kind": "arith", "ok": true, "answer": "60634", "out": "2421 \u00d7 79 = 191,259\n2342 \u00d7 56 = 131,152\n191,259 \u2212 131,152 = 60,107\n60,107 + 527 = 60,634\n\nAnswer: 60634"} +{"tag": "live-3d795", "kind": "arith", "ok": true, "answer": "26228", "out": "1952 \u00d7 74 = 144,448\n9148 \u00d7 13 = 118,924\n144,448 \u2212 118,924 = 25,524\n25,524 + 704 = 26,228\n\nAnswer: 26228"} +{"tag": "live-3d795", "kind": "arith", "ok": true, "answer": "523248", "out": "8713 \u00d7 94 = 819,022\n3565 \u00d7 83 = 295,895\n819,022 \u2212 295,895 = 523,127\n523,127 + 121 = 523,248\n\nAnswer: 523248"} +{"tag": "live-3d795", "kind": "arith", "ok": true, "answer": "-189839", "out": "2615 \u00d7 92 = 240,580\n7060 \u00d7 61 = 430,660\n240,580 \u2212 430,660 = \u2212190,080\n\u2212190,080 + 241 = \u2212189,839\n\nAnswer: -189839"} +{"tag": "live-3d795", "kind": "arith", "ok": true, "answer": "-74851", "out": "1936 \u00d7 27 = 52,272\n2062 \u00d7 62 = 127,844\n52,272 \u2212 127,844 + 721 = \u221274,851\n\nAnswer: -74851"} +{"tag": "live-3d795", "kind": "arith", "ok": true, "answer": "147458", "out": "4876 \u00d7 44 = 214,544\n1052 \u00d7 64 = 67,328\n214,544 \u2212 67,328 = 147,216\n147,216 + 242 = 147,458\n\nAnswer: 147458"} +{"tag": "live-3d795", "kind": "arith", "ok": true, "answer": "-330683", "out": "3139 \u00d7 40 = 125,560\n9131 \u00d7 50 = 456,550\n125,560 \u2212 456,550 = \u2212330,990\n\u2212330,990 + 307 = \u2212330,683\n\nAnswer: -330683"} +{"tag": "live-3d795", "kind": "arith", "ok": true, "answer": "-163481", "out": "6117 \u00d7 45 = 275,265\n5225 \u00d7 84 = 438,900\n275,265 \u2212 438,900 + 154 = \u2212163,481\n\nAnswer: -163481"} +{"tag": "live-3d795", "kind": "arith", "ok": false, "answer": "-522555", "out": "2611 \u00d7 71 = 185,381\n9451 \u00d7 75 = 708,825\n185,381 \u2212 708,825 + 889 = \u2212523,555\n\nAnswer: -523555"} +{"tag": "live-3d795", "kind": "arith", "ok": true, "answer": "162324", "out": "9033 \u00d7 79 = 9033 \u00d7 80 \u2212 9033 = 722,640 \u2212 9,033 = 713,607\n7886 \u00d7 70 = 552,020\n713,607 \u2212 552,020 = 161,587\n161,587 + 737 = 162,324\n\nAnswer: 162324"} +{"tag": "live-3d795", "kind": "arith", "ok": true, "answer": "-234827", "out": "2763 \u00d7 28 = 77,364\n4526 \u00d7 69 = 312,294\n77,364 \u2212 312,294 + 103 = \u2212234,827\n\nAnswer: -234827"} +{"tag": "live-3d795", "kind": "arith", "ok": true, "answer": "-73648", "out": "2794 \u00d7 64 = 178,816\n2605 \u00d7 97 = 252,685\n178,816 \u2212 252,685 = \u221273,869\n\u221273,869 + 221 = \u221273,648\n\nAnswer: -73648"} +{"tag": "live-3d795", "kind": "arith", "ok": true, "answer": "129170", "out": "8871 \u00d7 27 = 239,517\n7414 \u00d7 15 = 111,210\n239,517 \u2212 111,210 = 128,307\n128,307 + 863 = 129,170\n\nAnswer: 129170"} +{"tag": "live-3d795", "kind": "arith", "ok": true, "answer": "-96675", "out": "4521 \u00d7 19 = 85,899\n7050 \u00d7 26 = 183,300\n85,899 \u2212 183,300 = \u221297,401\n\u221297,401 + 726 = \u221296,675\n\nAnswer: -96675"} +{"tag": "live-3d795", "kind": "arith", "ok": true, "answer": "-321242", "out": "1360 \u00d7 62 = 84,320\n8643 \u00d7 47 = 406,221\n84,320 \u2212 406,221 + 659 = \u2212321,242\n\nAnswer: -321242"} +{"tag": "live-3d795", "kind": "arith", "ok": true, "answer": "697618", "out": "9110 \u00d7 97 = 9110 \u00d7 100 \u2212 9110 \u00d7 3 = 911000 \u2212 27330 = 883670\n7455 \u00d7 25 = 186375\n883670 \u2212 186375 + 323 = 697295 + 323 = 697618\n\nAnswer: 697618"} +{"tag": "live-3d795", "kind": "arith", "ok": true, "answer": "8031", "out": "3839 \u00d7 97 = 3839 \u00d7 100 \u2212 3839 \u00d7 3 = 383900 \u2212 11517 = 372383\n9130 \u00d7 40 = 365200\n372383 \u2212 365200 = 7183\n7183 + 848 = 8031\n\nAnswer: 8031"} +{"tag": "live-3d795", "kind": "arith", "ok": true, "answer": "-271800", "out": "3148 \u00d7 29 = 3148 \u00d7 30 \u2212 3148 = 94440 \u2212 3148 = 91292\n5688 \u00d7 64 = 364032\n91292 \u2212 364032 + 940 = \u2212271800\n\nAnswer: -271800"} +{"tag": "live-3d795", "kind": "arith", "ok": true, "answer": "163568", "out": "5058 \u00d7 96 = 485,568\n7005 \u00d7 46 = 322,230\n485,568 \u2212 322,230 = 163,338\n163,338 + 230 = 163,568\n\nAnswer: 163568"} +{"tag": "live-3d795", "kind": "arith", "ok": true, "answer": "55448", "out": "8651 \u00d7 85 = 735,335\n7478 \u00d7 91 = 680,498\n735,335 \u2212 680,498 = 54,837\n54,837 + 611 = 55,448\n\nAnswer: 55448"} +{"tag": "live-3d795", "kind": "arith", "ok": true, "answer": "246262", "out": "6401 \u00d7 66 = 422,466\n2385 \u00d7 74 = 176,490\n422,466 \u2212 176,490 = 245,976\n245,976 + 286 = 246,262\n\nAnswer: 246262"} +{"tag": "live-3d795", "kind": "arith", "ok": true, "answer": "-200227", "out": "3570 \u00d7 73 = 260,610\n8235 \u00d7 56 = 461,160\n260,610 \u2212 461,160 = \u2212200,550\n\u2212200,550 + 323 = \u2212200,227\n\nAnswer: -200227"} +{"tag": "live-3d795", "kind": "arith", "ok": true, "answer": "-390312", "out": "6882 \u00d7 40 = 275,280\n8649 \u00d7 77 = 605,430 + 60,543 = 665,973\n275,280 \u2212 665,973 + 381 = \u2212390,312\n\nAnswer: -390312"} +{"tag": "live-3d795", "kind": "arith", "ok": true, "answer": "-32986", "out": "5838 \u00d7 14 = 81,732\n8880 \u00d7 13 = 115,440\n81,732 \u2212 115,440 = \u221233,708\n\u221233,708 + 722 = \u221232,986\n\nAnswer: -32986"} +{"tag": "live-3d795", "kind": "arith", "ok": true, "answer": "-320293", "out": "2933 \u00d7 81 = 237,573\n5757 \u00d7 97 = 558,429\n237,573 \u2212 558,429 = \u2212320,856\n\u2212320,856 + 563 = \u2212320,293\n\nAnswer: -320293"} +{"tag": "live-3d795", "kind": "arith", "ok": true, "answer": "386032", "out": "7001 \u00d7 83 = 581,083\n8907 \u00d7 22 = 195,954\n581,083 \u2212 195,954 = 385,129\n385,129 + 903 = 386,032\n\nAnswer: 386032"} +{"tag": "live-3d795", "kind": "arith", "ok": true, "answer": "-65084", "out": "4666 \u00d7 33 = 153,978\n5358 \u00d7 41 = 219,678\n153,978 \u2212 219,678 = \u221265,700\n\u221265,700 + 616 = \u221265,084\n\nAnswer: -65084"} +{"tag": "live-3d795", "kind": "arith", "ok": true, "answer": "-386258", "out": "7220 \u00d7 25 = 180,500\n9775 \u00d7 58 = 566,950\n180,500 \u2212 566,950 = \u2212386,450\n\u2212386,450 + 192 = \u2212386,258\n\nAnswer: -386258"} +{"tag": "live-3d795", "kind": "arith", "ok": true, "answer": "129503", "out": "3489 \u00d7 77 = 244,230 + 24,423 = 268,653\n3171 \u00d7 44 = 126,840 + 12,684 = 139,524\n268,653 \u2212 139,524 = 129,129\n129,129 + 374 = 129,503\n\nAnswer: 129503"} +{"tag": "live-3d795", "kind": "arith", "ok": true, "answer": "51187", "out": "3194 \u00d7 51 = 162,894\n1348 \u00d7 83 = 111,884\n162,894 \u2212 111,884 = 51,010\n51,010 + 177 = 51,187\n\nAnswer: 51187"} +{"tag": "live-3d795", "kind": "arith", "ok": true, "answer": "134975", "out": "7416 \u00d7 57 = 422,712\n5647 \u00d7 51 = 287,997\n422,712 \u2212 287,997 = 134,715\n134,715 + 260 = 134,975\n\nAnswer: 134975"} +{"tag": "live-3d795", "kind": "arith", "ok": true, "answer": "25983", "out": "6592 \u00d7 23 = 151,616\n1658 \u00d7 76 = 126,008\n151,616 \u2212 126,008 = 25,608\n25,608 + 375 = 25,983\n\nAnswer: 25983"} +{"tag": "live-3d795", "kind": "arith", "ok": true, "answer": "-434096", "out": "5521 \u00d7 22 = 121,462\n7943 \u00d7 70 = 556,010\n121,462 \u2212 556,010 = \u2212434,548\n\u2212434,548 + 452 = \u2212434,096\n\nAnswer: -434096"} +{"tag": "live-3d795", "kind": "arith", "ok": true, "answer": "-66683", "out": "3870 \u00d7 39 = 150,930\n9101 \u00d7 24 = 218,424\n150,930 \u2212 218,424 + 811 = \u221266,683\n\nAnswer: -66683"} +{"tag": "live-3d795", "kind": "arith", "ok": true, "answer": "199878", "out": "4823 \u00d7 93 = 448,539\n6232 \u00d7 40 = 249,280\n448,539 \u2212 249,280 = 199,259\n199,259 + 619 = 199,878\n\nAnswer: 199878"} +{"tag": "live-3d795", "kind": "arith", "ok": true, "answer": "419543", "out": "8101 \u00d7 80 = 648,080\n9563 \u00d7 24 = 229,512\n648,080 \u2212 229,512 = 418,568\n418,568 + 975 = 419,543\n\nAnswer: 419543"} +{"tag": "live-3d795", "kind": "arith", "ok": true, "answer": "211136", "out": "7280 \u00d7 46 = 334,880\n1946 \u00d7 64 = 124,544\n334,880 \u2212 124,544 = 210,336\n210,336 + 800 = 211,136\n\nAnswer: 211136"} +{"tag": "live-3d795", "kind": "arith", "ok": true, "answer": "-12536", "out": "2292 \u00d7 34 = 77,928\n3780 \u00d7 24 = 90,720\n77,928 \u2212 90,720 + 256 = \u221212,792 + 256 = \u221212,536\n\nAnswer: -12536"} +{"tag": "live-3d795", "kind": "arith", "ok": true, "answer": "-223112", "out": "1611 \u00d7 54 = 86,994\n6345 \u00d7 49 = 310,905\n86,994 \u2212 310,905 = \u2212223,911\n\u2212223,911 + 799 = \u2212223,112\n\nAnswer: -223112"} +{"tag": "live-3d795", "kind": "arith", "ok": true, "answer": "531054", "out": "6 \u00d7 100 \u2212 9826 \u00d7 3 = 982600 \u2212 29478 = 953122\n7161 \u00d7 59 = 7161 \u00d7 60 \u2212 7161 = 429660 \u2212 7161 = 422499\n953122 \u2212 422499 + 431 = 530623 + 431 = 531054\n\nAnswer: 531054"} +{"tag": "live-3d795", "kind": "arith", "ok": true, "answer": "116040", "out": "6472 \u00d7 72 = 465,984\n7004 \u00d7 50 = 350,200\n465,984 \u2212 350,200 = 115,784\n115,784 + 256 = 116,040\n\nAnswer: 116040"} +{"tag": "live-3d795", "kind": "arith", "ok": true, "answer": "-252220", "out": "9399 \u00d7 27 = 253,773\n5823 \u00d7 87 = 506,601\n253,773 \u2212 506,601 = \u2212252,828\n\u2212252,828 + 608 = \u2212252,220\n\nAnswer: -252220"} +{"tag": "live-3d795", "kind": "arith", "ok": true, "answer": "-213343", "out": "1746 \u00d7 43 = 75,078\n4982 \u00d7 58 = 288,956\n75,078 \u2212 288,956 + 535 = \u2212213,343\n\nAnswer: -213343"} +{"tag": "live-3d795", "kind": "arith", "ok": true, "answer": "-245844", "out": "2175 \u00d7 59 = 128,325\n3983 \u00d7 94 = 374,402\n128,325 \u2212 374,402 + 233 = \u2212245,844\n\nAnswer: -245844"} +{"tag": "live-3d795", "kind": "arith", "ok": true, "answer": "-203808", "out": "8431 \u00d7 34 = 286,654\n8465 \u00d7 58 = 490,970\n286,654 \u2212 490,970 = \u2212204,316\n\u2212204,316 + 508 = \u2212203,808\n\nAnswer: -203808"} +{"tag": "live-3d795", "kind": "arith", "ok": true, "answer": "-365490", "out": "3490 \u00d7 63 = 219,870\n8883 \u00d7 66 = 586,278\n219,870 \u2212 586,278 = \u2212366,408\n\u2212366,408 + 918 = \u2212365,490\n\nAnswer: -365490"} +{"tag": "live-3d795", "kind": "arith", "ok": true, "answer": "63551", "out": "6892 \u00d7 28 = 192,976\n2763 \u00d7 47 = 129,861\n192,976 \u2212 129,861 = 63,115\n63,115 + 436 = 63,551\n\nAnswer: 63551"} +{"tag": "live-3d795", "kind": "arith", "ok": true, "answer": "14320", "out": "4441 \u00d7 94 = 417,454\n5045 \u00d7 80 = 403,600\n417,454 \u2212 403,600 = 13,854\n13,854 + 466 = 14,320\n\nAnswer: 14320"} +{"tag": "live-3d795", "kind": "arith", "ok": true, "answer": "241245", "out": "6696 \u00d7 71 = 475,416\n3358 \u00d7 70 = 235,060\n475,416 \u2212 235,060 = 240,356\n240,356 + 889 = 241,245\n\nAnswer: 241245"} +{"tag": "live-3d795", "kind": "arith", "ok": true, "answer": "-560058", "out": "4971 \u00d7 23 = 114,333\n9368 \u00d7 72 = 674,496\n114,333 \u2212 674,496 + 105 = \u2212560,058\n\nAnswer: -560058"} +{"tag": "live-3d795", "kind": "arith", "ok": true, "answer": "-65554", "out": "5374 \u00d7 75 = 403050\n6802 \u00d7 69 = 469338\n403050 \u2212 469338 = \u221266288\n\u221266288 + 734 = \u221265554\n\nAnswer: -65554"} +{"tag": "live-3d795", "kind": "arith", "ok": true, "answer": "-418069", "out": "6346 \u00d7 30 = 190,380\n9522 \u00d7 64 = 609,408\n190,380 \u2212 609,408 = \u2212419,028\n\u2212419,028 + 959 = \u2212418,069\n\nAnswer: -418069"} +{"tag": "live-3d795", "kind": "arith", "ok": true, "answer": "282189", "out": "3659 \u00d7 83 = 3659 \u00d7 80 + 3659 \u00d7 3 = 292720 + 10977 = 303697\n1357 \u00d7 16 = 21712\n303697 \u2212 21712 = 281985\n281985 + 204 = 282189\n\nAnswer: 282189"} +{"tag": "live-3d795", "kind": "arith", "ok": true, "answer": "-198499", "out": "8718 \u00d7 53 = 462,054\n9317 \u00d7 71 = 661,507\n462,054 \u2212 661,507 = \u2212199,453\n\u2212199,453 + 954 = \u2212198,499\n\nAnswer: -198499"} +{"tag": "live-3d795", "kind": "arith", "ok": true, "answer": "-114903", "out": "1317 \u00d7 90 = 118,530\n6510 \u00d7 36 = 234,360\n118,530 \u2212 234,360 = \u2212115,830\n\u2212115,830 + 927 = \u2212114,903\n\nAnswer: -114903"} +{"tag": "live-3d795", "kind": "arith", "ok": true, "answer": "-136060", "out": "4317 \u00d7 40 = 172,680\n3725 \u00d7 83 = 309,175\n172,680 \u2212 309,175 = \u2212136,495\n\u2212136,495 + 435 = \u2212136,060\n\nAnswer: -136060"} +{"tag": "live-3d795", "kind": "arith", "ok": true, "answer": "181134", "out": "5418 \u00d7 42 = 227,556\n1605 \u00d7 29 = 46,545\n227,556 \u2212 46,545 = 181,011\n181,011 + 123 = 181,134\n\nAnswer: 181134"} +{"tag": "live-3d795", "kind": "arith", "ok": true, "answer": "-167329", "out": "2631 \u00d7 36 = 94,716\n3857 \u00d7 68 = 262,276\n94,716 \u2212 262,276 + 231 = \u2212167,329\n\nAnswer: -167329"} +{"tag": "live-3d795", "kind": "arith", "ok": true, "answer": "-133549", "out": "5790 \u00d7 50 = 289,500\n8639 \u00d7 49 = 8639 \u00d7 50 \u2212 8639 = 431,950 \u2212 8,639 = 423,311\n289,500 \u2212 423,311 + 262 = \u2212133,549\n\nAnswer: -133549"} +{"tag": "live-3d795", "kind": "arith", "ok": true, "answer": "298191", "out": "6991 \u00d7 49 = 6991 \u00d7 50 \u2212 6991 = 349550 \u2212 6991 = 342559\n3006 \u00d7 15 = 45090\n342559 \u2212 45090 + 722 = 298191\n\nAnswer: 298191"} +{"tag": "live-3d795", "kind": "arith", "ok": true, "answer": "263933", "out": "6125 \u00d7 69 = 422,625\n2381 \u00d7 67 = 159,527\n422,625 \u2212 159,527 = 263,098\n263,098 + 835 = 263,933\n\nAnswer: 263933"} +{"tag": "live-3d795", "kind": "arith", "ok": true, "answer": "421218", "out": "6667 \u00d7 76 = 506,692\n1208 \u00d7 71 = 85,768\n506,692 \u2212 85,768 = 420,924\n420,924 + 294 = 421,218\n\nAnswer: 421218"} +{"tag": "live-3d795", "kind": "arith", "ok": true, "answer": "-286259", "out": "1469 \u00d7 60 = 88,140\n9156 \u00d7 41 = 375,396\n88,140 \u2212 375,396 + 997 = \u2212286,259\n\nAnswer: -286259"} +{"tag": "live-3d795", "kind": "arith", "ok": true, "answer": "205549", "out": "8453 \u00d7 68 = 574,804\n8796 \u00d7 42 = 369,432\n574,804 \u2212 369,432 = 205,372\n205,372 + 177 = 205,549\n\nAnswer: 205549"} +{"tag": "live-3d795", "kind": "arith", "ok": true, "answer": "213419", "out": "5146 \u00d7 74 = 380,804\n1995 \u00d7 84 = 167,580\n380,804 \u2212 167,580 = 213,224\n213,224 + 195 = 213,419\n\nAnswer: 213419"} +{"tag": "live-3d795", "kind": "arith", "ok": true, "answer": "126694", "out": "5595 \u00d7 74 = 414,030\n3028 \u00d7 95 = 287,660\n414,030 \u2212 287,660 = 126,370\n126,370 + 324 = 126,694\n\nAnswer: 126694"} +{"tag": "live-3d795", "kind": "arith", "ok": true, "answer": "-575727", "out": "4220 \u00d7 41 = 173,020\n8710 \u00d7 86 = 749,060\n173,020 \u2212 749,060 + 313 = \u2212575,727\n\nAnswer: -575727"} +{"tag": "live-3d795", "kind": "arith", "ok": true, "answer": "-607843", "out": "9602 \u00d7 28 = 268,856\n9861 \u00d7 89 = 877,629\n268,856 \u2212 877,629 + 930 = \u2212607,843\n\nAnswer: -607843"} +{"tag": "live-3d795", "kind": "arith", "ok": true, "answer": "-78971", "out": "9764 \u00d7 13 = 126,932\n4922 \u00d7 42 = 206,724\n126,932 \u2212 206,724 = \u221279,792\n\u221279,792 + 821 = \u221278,971\n\nAnswer: -78971"} +{"tag": "live-3d795", "kind": "arith", "ok": true, "answer": "-81441", "out": "7714 \u00d7 25 = 192,850\n3669 \u00d7 75 = 275,175\n192,850 \u2212 275,175 = \u221282,325\n\u221282,325 + 884 = \u221281,441\n\nAnswer: -81441"} +{"tag": "live-3d795", "kind": "arith", "ok": true, "answer": "-41191", "out": "9751 \u00d7 27 = 263,277\n3808 \u00d7 80 = 304,640\n263,277 \u2212 304,640 = \u221241,363\n\u221241,363 + 172 = \u221241,191\n\nAnswer: -41191"} +{"tag": "live-3d795", "kind": "arith", "ok": true, "answer": "-545573", "out": "8628 \u00d7 16 = 138,048\n7957 \u00d7 86 = 684,302\n138,048 \u2212 684,302 + 681 = \u2212545,573\n\nAnswer: -545573"} +{"tag": "live-3d795", "kind": "arith", "ok": true, "answer": "-111221", "out": "6074 \u00d7 14 = 85036\n3516 \u00d7 56 = 196896\n85036 \u2212 196896 = \u2212111860\n\u2212111860 + 639 = \u2212111221\n\nAnswer: -111221"} +{"tag": "live-3d795", "kind": "arith", "ok": true, "answer": "278514", "out": "8852 \u00d7 73 = 646,196\n9679 \u00d7 38 = 367,802\n646,196 \u2212 367,802 = 278,394\n278,394 + 120 = 278,514\n\nAnswer: 278514"} +{"tag": "live-3d795", "kind": "arith", "ok": true, "answer": "350267", "out": "8811 \u00d7 62 = 546,282\n5616 \u00d7 35 = 196,560\n546,282 \u2212 196,560 = 349,722\n349,722 + 545 = 350,267\n\nAnswer: 350267"} +{"tag": "live-3d795", "kind": "arith", "ok": true, "answer": "-150805", "out": "3994 \u00d7 73 = 291,562\n8051 \u00d7 55 = 442,805\n291,562 \u2212 442,805 + 438 = \u2212150,805\n\nAnswer: -150805"} +{"tag": "live-3d795", "kind": "arith", "ok": true, "answer": "798424", "out": "9171 \u00d7 93 = 852,903\n1045 \u00d7 53 = 55,385\n852,903 \u2212 55,385 = 797,518\n797,518 + 906 = 798,424\n\nAnswer: 798424"} +{"tag": "live-3d795", "kind": "arith", "ok": true, "answer": "-231965", "out": "1689 \u00d7 85 = 143,565\n6711 \u00d7 56 = 375,816\n143,565 \u2212 375,816 + 286 = \u2212231,965\n\nAnswer: -231965"} +{"tag": "live-3d795", "kind": "arith", "ok": true, "answer": "-23106", "out": "2497 \u00d7 92 = 229,724\n3164 \u00d7 80 = 253,120\n229,724 \u2212 253,120 + 290 = \u221223,106\n\nAnswer: -23106"} +{"tag": "live-3d795", "kind": "arith", "ok": true, "answer": "89614", "out": "7943 \u00d7 43 = 341,549\n3832 \u00d7 66 = 252,912\n341,549 \u2212 252,912 = 88,637\n88,637 + 977 = 89,614\n\nAnswer: 89614"} +{"tag": "live-3d795", "kind": "arith", "ok": true, "answer": "102850", "out": "6769 \u00d7 60 = 406,140\n7407 \u00d7 41 = 303,687\n406,140 \u2212 303,687 = 102,453\n102,453 + 397 = 102,850\n\nAnswer: 102850"} +{"tag": "live-3d795", "kind": "arith", "ok": true, "answer": "-79615", "out": "7510 \u00d7 68 = 510,680\n8824 \u00d7 67 = 591,208\n510,680 \u2212 591,208 = \u221280,528\n\u221280,528 + 913 = \u221279,615\n\nAnswer: -79615"} +{"tag": "live-3d795", "kind": "arith", "ok": true, "answer": "312660", "out": "6177 \u00d7 58 = 358,266\n2862 \u00d7 16 = 45,792\n358,266 \u2212 45,792 = 312,474\n312,474 + 186 = 312,660\n\nAnswer: 312660"} +{"tag": "live-3d795", "kind": "arith", "ok": true, "answer": "195510", "out": "9519 \u00d7 36 = 342,684\n3274 \u00d7 45 = 147,330\n342,684 \u2212 147,330 = 195,354\n195,354 + 156 = 195,510\n\nAnswer: 195510"} +{"tag": "live-3d795", "kind": "arith", "ok": true, "answer": "-103198", "out": "1219 \u00d7 69 = 84,111\n9865 \u00d7 19 = 187,435\n84,111 \u2212 187,435 + 126 = \u2212103,198\n\nAnswer: -103198"} +{"tag": "live-3d795", "kind": "arith", "ok": true, "answer": "-314255", "out": "3241 \u00d7 41 = 132,881\n7993 \u00d7 56 = 447,608\n132,881 \u2212 447,608 + 472 = \u2212314,255\n\nAnswer: -314255"} +{"tag": "live-3d795", "kind": "arith", "ok": true, "answer": "-426516", "out": "2557 \u00d7 87 = 222,459\n8774 \u00d7 74 = 649,276\n222,459 \u2212 649,276 + 301 = \u2212426,516\n\nAnswer: -426516"} +{"tag": "live-3d795", "kind": "arith", "ok": true, "answer": "-309687", "out": "6381 \u00d7 66 = 421,146\n7949 \u00d7 92 = 731,308\n421,146 \u2212 731,308 = \u2212310,162\n\u2212310,162 + 475 = \u2212309,687\n\nAnswer: -309687"} +{"tag": "live-3d795", "kind": "arith", "ok": true, "answer": "26842", "out": "6477 \u00d7 22 = 142,494\n1261 \u00d7 92 = 116,012\n142,494 \u2212 116,012 = 26,482\n26,482 + 360 = 26,842\n\nAnswer: 26842"} +{"tag": "live-3d795", "kind": "arith", "ok": true, "answer": "612111", "out": "258 \u00d7 100 \u2212 7258 \u00d7 3 = 725800 \u2212 21774 = 704026\n3188 \u00d7 29 = 3188 \u00d7 30 \u2212 3188 = 95640 \u2212 3188 = 92452\n704026 \u2212 92452 = 611574\n611574 + 537 = 612111\n\nAnswer: 612111"} +{"tag": "live-3d795", "kind": "arith", "ok": true, "answer": "178604", "out": "5633 \u00d7 62 = 349,246\n4081 \u00d7 42 = 171,402\n349,246 \u2212 171,402 = 177,844\n177,844 + 760 = 178,604\n\nAnswer: 178604"} +{"tag": "live-3d795", "kind": "arith", "ok": true, "answer": "330240", "out": "5660 \u00d7 89 = 503,740\n3352 \u00d7 52 = 174,304\n503,740 \u2212 174,304 = 329,436\n329,436 + 804 = 330,240\n\nAnswer: 330240"} +{"tag": "live-3d795", "kind": "arith", "ok": true, "answer": "-319260", "out": "5485 \u00d7 20 = 109,700\n8593 \u00d7 50 = 429,650\n109,700 \u2212 429,650 = \u2212319,950\n\u2212319,950 + 690 = \u2212319,260\n\nAnswer: -319260"} +{"tag": "live-3d795", "kind": "arith", "ok": true, "answer": "57587", "out": "2768 \u00d7 75 = 207,600\n2949 \u00d7 51 = 150,399\n207,600 \u2212 150,399 = 57,201\n57,201 + 386 = 57,587\n\nAnswer: 57587"} +{"tag": "live-3d795", "kind": "arith", "ok": true, "answer": "-147837", "out": "4358 \u00d7 28 = 122,024\n3561 \u00d7 76 = 270,636\n122,024 \u2212 270,636 = \u2212148,612\n\u2212148,612 + 775 = \u2212147,837\n\nAnswer: -147837"} +{"tag": "live-3d795", "kind": "arith", "ok": true, "answer": "-510433", "out": "5267 \u00d7 13 = 68,471\n8651 \u00d7 67 = 579,617\n68,471 \u2212 579,617 + 713 = \u2212510,433\n\nAnswer: -510433"} +{"tag": "live-3d795", "kind": "arith", "ok": true, "answer": "-209213", "out": "5863 \u00d7 25 = 146,575\n3749 \u00d7 95 = 3749 \u00d7 100 \u2212 3749 \u00d7 5 = 374,900 \u2212 18,745 = 356,155\n146,575 \u2212 356,155 + 367 = \u2212209,213\n\nAnswer: -209213"} +{"tag": "live-3d795", "kind": "arith", "ok": true, "answer": "-110911", "out": "2842 \u00d7 22 = 62,524\n6446 \u00d7 27 = 174,042\n62,524 \u2212 174,042 + 607 = \u2212110,911\n\nAnswer: -110911"} +{"tag": "live-3d795", "kind": "arith", "ok": true, "answer": "-316331", "out": "6260 \u00d7 53 = 331,780\n9136 \u00d7 71 = 648,656\n331,780 \u2212 648,656 = \u2212316,876\n\u2212316,876 + 545 = \u2212316,331\n\nAnswer: -316331"} +{"tag": "live-3d795", "kind": "arith", "ok": true, "answer": "-546283", "out": "5344 \u00d7 16 = 85,504\n9731 \u00d7 65 = 632,515\n85,504 \u2212 632,515 + 728 = \u2212546,283\n\nAnswer: -546283"} +{"tag": "live-3d795", "kind": "arith", "ok": true, "answer": "272304", "out": "5586 \u00d7 75 = 418,950\n2726 \u00d7 54 = 147,204\n418,950 \u2212 147,204 = 271,746\n271,746 + 558 = 272,304\n\nAnswer: 272304"} +{"tag": "live-3d795", "kind": "arith", "ok": true, "answer": "-335177", "out": "1836 \u00d7 20 = 36,720\n5247 \u00d7 71 = 5247 \u00d7 70 + 5247 = 367,290 + 5,247 = 372,537\n36,720 \u2212 372,537 + 640 = \u2212335,177\n\nAnswer: -335177"} +{"tag": "live-3d795", "kind": "arith", "ok": true, "answer": "-189667", "out": "4036 \u00d7 23 = 92,828\n5439 \u00d7 52 = 282,828\n92,828 \u2212 282,828 + 333 = \u2212190,000 + 333 = \u2212189,667\n\nAnswer: -189667"} +{"tag": "live-3d795", "kind": "arith", "ok": true, "answer": "60979", "out": "1241 \u00d7 74 = 91,834\n1668 \u00d7 19 = 31,692\n91,834 \u2212 31,692 = 60,142\n60,142 + 837 = 60,979\n\nAnswer: 60979"} +{"tag": "live-3d795", "kind": "arith", "ok": true, "answer": "211693", "out": "7514 \u00d7 90 = 676,260\n7631 \u00d7 61 = 465,491\n676,260 \u2212 465,491 = 210,769\n210,769 + 924 = 211,693\n\nAnswer: 211693"} +{"tag": "live-3d795", "kind": "arith", "ok": true, "answer": "460998", "out": "Factor out 69: (7871 \u2212 1197) \u00d7 69 + 492 = 6674 \u00d7 69 + 492\n\n6674 \u00d7 69 = 460,506\n\n460,506 + 492 = 460,998\n\nAnswer: 460998"} +{"tag": "live-3d795", "kind": "arith", "ok": true, "answer": "-270301", "out": "3369 \u00d7 58 = 195,402\n4960 \u00d7 94 = 466,240\n195,402 \u2212 466,240 = \u2212270,838\n\u2212270,838 + 537 = \u2212270,301\n\nAnswer: -270301"} +{"tag": "live-3d795", "kind": "arith", "ok": true, "answer": "195120", "out": "7936 \u00d7 36 = 285,696\n5368 \u00d7 17 = 91,256\n285,696 \u2212 91,256 = 194,440\n194,440 + 680 = 195,120\n\nAnswer: 195120"} +{"tag": "live-3d795", "kind": "arith", "ok": true, "answer": "-706361", "out": "2494 \u00d7 25 = 62,350\n9864 \u00d7 78 = 769,392\n62,350 \u2212 769,392 + 681 = \u2212706,361\n\nAnswer: -706361"} +{"tag": "live-3d795", "kind": "arith", "ok": true, "answer": "151029", "out": "5313 \u00d7 71 = 377,223\n4631 \u00d7 49 = 226,919\n377,223 \u2212 226,919 = 150,304\n150,304 + 725 = 151,029\n\nAnswer: 151029"} +{"tag": "live-3d795", "kind": "arith", "ok": true, "answer": "-692775", "out": "1917 \u00d7 40 = 76,680\n8109 \u00d7 95 = 770,355\n76,680 \u2212 770,355 + 900 = \u2212692,775\n\nAnswer: -692775"} +{"tag": "live-3d795", "kind": "arith", "ok": true, "answer": "-123535", "out": "3294 \u00d7 69 = 227,286\n8174 \u00d7 43 = 351,482\n227,286 \u2212 351,482 + 661 = \u2212123,535\n\nAnswer: -123535"} +{"tag": "live-3d795", "kind": "arith", "ok": true, "answer": "-132483", "out": "\u00d7 80 \u2212 8182 = 654560 \u2212 8182 = 646378\n9987 \u00d7 78 = 9987 \u00d7 80 \u2212 9987 \u00d7 2 = 798960 \u2212 19974 = 778986\n646378 \u2212 778986 + 125 = \u2212132608 + 125 = \u2212132483\n\nAnswer: -132483"} +{"tag": "live-3d795", "kind": "arith", "ok": true, "answer": "-31284", "out": "7271 \u00d7 36 = 261,756\n6670 \u00d7 44 = 293,480\n261,756 \u2212 293,480 = \u221231,724\n\u221231,724 + 440 = \u221231,284\n\nAnswer: -31284"} +{"tag": "live-3d795", "kind": "arith", "ok": true, "answer": "-181962", "out": "8215 \u00d7 18 = 147,870\n4286 \u00d7 77 = 330,022\n147,870 \u2212 330,022 + 190 = \u2212181,962\n\nAnswer: -181962"} +{"tag": "live-3d795", "kind": "arith", "ok": true, "answer": "-35", "out": "2524 \u00d7 34 = 85816\n5067 \u00d7 17 = 86139\n85816 \u2212 86139 + 288 = \u2212323 + 288 = \u221235\n\nAnswer: -35"} +{"tag": "live-3d795", "kind": "arith", "ok": true, "answer": "-78021", "out": "7280 \u00d7 71 = 516,880\n8627 \u00d7 69 = 595,263\n516,880 \u2212 595,263 = \u221278,383\n\u221278,383 + 362 = \u221278,021\n\nAnswer: -78021"} +{"tag": "live-3d795", "kind": "arith", "ok": true, "answer": "210104", "out": "0 \u2212 4356 \u00d7 3 = 435600 \u2212 13068 = 422532\n3943 \u00d7 54 = 3943 \u00d7 50 + 3943 \u00d7 4 = 197150 + 15772 = 212922\n422532 \u2212 212922 = 209610\n209610 + 494 = 210104\n\nAnswer: 210104"} +{"tag": "live-3d795", "kind": "arith", "ok": true, "answer": "27772", "out": "3616 \u00d7 53 = 191,648\n2196 \u00d7 75 = 164,700\n191,648 \u2212 164,700 = 26,948\n26,948 + 824 = 27,772\n\nAnswer: 27772"} +{"tag": "live-3d795", "kind": "arith", "ok": true, "answer": "124369", "out": "4706 \u00d7 38 = 178,828\n1383 \u00d7 40 = 55,320\n178,828 \u2212 55,320 = 123,508\n123,508 + 861 = 124,369\n\nAnswer: 124369"} +{"tag": "live-3d795", "kind": "arith", "ok": true, "answer": "165437", "out": "7717 \u00d7 26 = 200,642\n1964 \u00d7 18 = 35,352\n200,642 \u2212 35,352 = 165,290\n165,290 + 147 = 165,437\n\nAnswer: 165437"} +{"tag": "live-3d795", "kind": "arith", "ok": true, "answer": "147526", "out": "4470 \u00d7 62 = 277,140\n6214 \u00d7 21 = 130,494\n277,140 \u2212 130,494 + 880 = 147,526\n\nAnswer: 147526"} +{"tag": "live-3d795", "kind": "arith", "ok": true, "answer": "-471586", "out": "2799 \u00d7 61 = 170,739\n6835 \u00d7 94 = 642,490\n170,739 \u2212 642,490 = \u2212471,751\n\u2212471,751 + 165 = \u2212471,586\n\nAnswer: -471586"} +{"tag": "live-3d795", "kind": "arith", "ok": true, "answer": "-113804", "out": "2750 \u00d7 38 = 104,500\n6262 \u00d7 35 = 219,170\n104,500 \u2212 219,170 = \u2212114,670\n\u2212114,670 + 866 = \u2212113,804\n\nAnswer: -113804"} +{"tag": "live-3d795", "kind": "arith", "ok": true, "answer": "9672", "out": "1588 \u00d7 94 = 149,272\n1630 \u00d7 86 = 140,180\n149,272 \u2212 140,180 = 9,092\n9,092 + 580 = 9,672\n\nAnswer: 9672"} +{"tag": "live-3d795", "kind": "arith", "ok": true, "answer": "60119", "out": "7822 \u00d7 30 = 234,660\n2015 \u00d7 87 = 175,305\n234,660 \u2212 175,305 = 59,355\n59,355 + 764 = 60,119\n\nAnswer: 60119"} +{"tag": "live-3d795", "kind": "arith", "ok": true, "answer": "-383971", "out": "1847 \u00d7 62 = 114,514\n5485 \u00d7 91 = 499,135\n114,514 \u2212 499,135 = \u2212384,621\n\u2212384,621 + 650 = \u2212383,971\n\nAnswer: -383971"} +{"tag": "live-3d795", "kind": "arith", "ok": true, "answer": "448308", "out": "5562 \u00d7 92 = 511,704\n1782 \u00d7 36 = 64,152\n511,704 \u2212 64,152 = 447,552\n447,552 + 756 = 448,308\n\nAnswer: 448308"} +{"tag": "live-3d795", "kind": "arith", "ok": true, "answer": "603710", "out": "7549 \u00d7 88 = 664,312\n4384 \u00d7 14 = 61,376\n664,312 \u2212 61,376 = 602,936\n602,936 + 774 = 603,710\n\nAnswer: 603710"} +{"tag": "live-3d795", "kind": "arith", "ok": true, "answer": "282303", "out": "5399 \u00d7 60 = 323,940\n1214 \u00d7 35 = 42,490\n323,940 \u2212 42,490 = 281,450\n281,450 + 853 = 282,303\n\nAnswer: 282303"} +{"tag": "live-3d795", "kind": "arith", "ok": true, "answer": "338809", "out": "9993 \u00d7 38 = 379,734\n1332 \u00d7 31 = 41,292\n379,734 \u2212 41,292 = 338,442\n338,442 + 367 = 338,809\n\nAnswer: 338809"} +{"tag": "live-3d795", "kind": "arith", "ok": true, "answer": "37753", "out": "2330 \u00d7 70 = 163,100\n3321 \u00d7 38 = 126,198\n163,100 \u2212 126,198 = 36,902\n36,902 + 851 = 37,753\n\nAnswer: 37753"} +{"tag": "live-3d795", "kind": "arith", "ok": false, "answer": "-482711", "out": "1096 \u00d7 52 = 56,992\n7719 \u00d7 70 = 540,330\n56,992 \u2212 540,330 + 627 = \u2212483,711\n\nAnswer: -483711"} +{"tag": "live-3d795", "kind": "arith", "ok": true, "answer": "119683", "out": "9403 \u00d7 35 = 329,105\n3564 \u00d7 59 = 210,276\n329,105 \u2212 210,276 = 118,829\n118,829 + 854 = 119,683\n\nAnswer: 119683"} +{"tag": "live-3d795", "kind": "arith", "ok": true, "answer": "-104908", "out": "2197 \u00d7 17 = 37,349\n2162 \u00d7 66 = 142,692\n37,349 \u2212 142,692 + 435 = \u2212104,908\n\nAnswer: -104908"} +{"tag": "live-3d795", "kind": "arith", "ok": true, "answer": "-362695", "out": "2519 \u00d7 48 = 120,912\n7123 \u00d7 68 = 484,364\n120,912 \u2212 484,364 = \u2212363,452\n\u2212363,452 + 757 = \u2212362,695\n\nAnswer: -362695"} +{"tag": "live-3d795", "kind": "arith", "ok": true, "answer": "54418", "out": "7603 \u00d7 57 = 433,371\n7021 \u00d7 54 = 379,134\n433,371 \u2212 379,134 = 54,237\n54,237 + 181 = 54,418\n\nAnswer: 54418"} +{"tag": "live-3d795", "kind": "arith", "ok": true, "answer": "254547", "out": "7115 \u00d7 66 = 469,590\n7709 \u00d7 28 = 215,852\n469,590 \u2212 215,852 = 253,738\n253,738 + 809 = 254,547\n\nAnswer: 254547"} +{"tag": "live-3d795", "kind": "arith", "ok": true, "answer": "-369437", "out": "1442 \u00d7 13 = 18746\n4176 \u00d7 93 = 388368\n18746 \u2212 388368 + 185 = \u2212369437\n\nAnswer: -369437"} +{"tag": "live-3d795", "kind": "arith", "ok": true, "answer": "15978", "out": "1013 \u00d7 59 = 59,767\n1139 \u00d7 39 = 44,421\n59,767 \u2212 44,421 = 15,346\n15,346 + 632 = 15,978\n\nAnswer: 15978"} +{"tag": "live-3d795", "kind": "arith", "ok": true, "answer": "86049", "out": "4306 \u00d7 73 = 314,338\n2830 \u00d7 81 = 229,230\n314,338 \u2212 229,230 = 85,108\n85,108 + 941 = 86,049\n\nAnswer: 86049"} +{"tag": "live-3d795", "kind": "arith", "ok": true, "answer": "25832", "out": "3621 \u00d7 25 = 90,525\n2717 \u00d7 24 = 65,208\n90,525 \u2212 65,208 = 25,317\n25,317 + 515 = 25,832\n\nAnswer: 25832"} +{"tag": "live-3d795", "kind": "arith", "ok": true, "answer": "-94793", "out": "1595 \u00d7 53 = 84,535\n8997 \u00d7 20 = 179,940\n84,535 \u2212 179,940 + 612 = \u221295,405 + 612 = \u221294,793\n\nAnswer: -94793"} +{"tag": "live-3d795", "kind": "arith", "ok": true, "answer": "443100", "out": "6396 \u00d7 85 = 543,660\n3473 \u00d7 29 = 100,717\n543,660 \u2212 100,717 = 442,943\n442,943 + 157 = 443,100\n\nAnswer: 443100"} +{"tag": "live-3d795", "kind": "arith", "ok": true, "answer": "-195642", "out": "1435 \u00d7 14 = 20090\n2927 \u00d7 74 = 216598\n20090 \u2212 216598 + 866 = \u2212195642\n\nAnswer: -195642"} +{"tag": "live-3d795", "kind": "arith", "ok": true, "answer": "-445003", "out": "1524 \u00d7 32 = 48,768\n5260 \u00d7 94 = 494,440\n48,768 \u2212 494,440 + 669 = \u2212445,003\n\nAnswer: -445003"} +{"tag": "live-3d795", "kind": "arith", "ok": true, "answer": "176326", "out": "7242 \u00d7 67 = 485,214\n9660 \u00d7 32 = 309,120\n485,214 \u2212 309,120 = 176,094\n176,094 + 232 = 176,326\n\nAnswer: 176326"} +{"tag": "live-3d795", "kind": "arith", "ok": true, "answer": "-276361", "out": "2754 \u00d7 24 = 66,096\n5539 \u00d7 62 = 343,418\n66,096 \u2212 343,418 + 961 = \u2212276,361\n\nAnswer: -276361"} +{"tag": "live-3d795", "kind": "arith", "ok": true, "answer": "137387", "out": "7277 \u00d7 24 = 174,648\n1783 \u00d7 21 = 37,443\n174,648 \u2212 37,443 = 137,205\n137,205 + 182 = 137,387\n\nAnswer: 137387"} +{"tag": "live-3d795", "kind": "arith", "ok": true, "answer": "-713347", "out": "2223 \u00d7 48 = 106,704\n9546 \u00d7 86 = 820,956\n106,704 \u2212 820,956 + 905 = \u2212713,347\n\nAnswer: -713347"} +{"tag": "live-3d795", "kind": "arith", "ok": true, "answer": "-184807", "out": "6223 \u00d7 51 = 317,373\n9479 \u00d7 53 = 502,387\n317,373 \u2212 502,387 = \u2212185,014\n\u2212185,014 + 207 = \u2212184,807\n\nAnswer: -184807"} +{"tag": "live-3d795", "kind": "arith", "ok": true, "answer": "-110976", "out": "7602 \u00d7 38 = 288,876\n6911 \u00d7 58 = 400,838\n288,876 \u2212 400,838 = \u2212111,962\n\u2212111,962 + 986 = \u2212110,976\n\nAnswer: -110976"} +{"tag": "live-3d795", "kind": "arith", "ok": true, "answer": "41509", "out": "9701 \u00d7 42 = 407,442\n9171 \u00d7 40 = 366,840\n407,442 \u2212 366,840 = 40,602\n40,602 + 907 = 41,509\n\nAnswer: 41509"} +{"tag": "live-3d795", "kind": "arith", "ok": true, "answer": "-380080", "out": "5725 \u00d7 30 = 171,750\n9522 \u00d7 58 = 552,276\n171,750 \u2212 552,276 + 446 = \u2212380,080\n\nAnswer: -380080"} +{"tag": "live-3d795", "kind": "arith", "ok": true, "answer": "228699", "out": "7167 \u00d7 93 = 645030 + 21501 = 666531\n5477 \u00d7 80 = 438160\n666531 \u2212 438160 = 228371\n228371 + 328 = 228699\n\nAnswer: 228699"} +{"tag": "live-3d795", "kind": "arith", "ok": true, "answer": "-28651", "out": "8941 \u00d7 78 = 697,398\n8549 \u00d7 85 = 726,665\n697,398 \u2212 726,665 = \u221229,267\n\u221229,267 + 616 = \u221228,651\n\nAnswer: -28651"} +{"tag": "live-3d795", "kind": "arith", "ok": true, "answer": "165921", "out": "3720 \u00d7 70 = 260,400\n1161 \u00d7 82 = 95,202\n260,400 \u2212 95,202 = 165,198\n165,198 + 723 = 165,921\n\nAnswer: 165921"} +{"tag": "live-3d795", "kind": "arith", "ok": true, "answer": "-278039", "out": "5353 \u00d7 63 = 337,239\n6413 \u00d7 96 = 615,648\n337,239 \u2212 615,648 = \u2212278,409\n\u2212278,409 + 370 = \u2212278,039\n\nAnswer: -278039"} +{"tag": "live-3d795", "kind": "arith", "ok": true, "answer": "-108535", "out": "2034 \u00d7 69 = 140,346\n5540 \u00d7 45 = 249,300\n140,346 \u2212 249,300 + 419 = \u2212108,535\n\nAnswer: -108535"} +{"tag": "live-3d795", "kind": "arith", "ok": true, "answer": "-561130", "out": "4801 \u00d7 13 = 62,413\n6499 \u00d7 96 = 623,904\n62,413 \u2212 623,904 + 361 = 62,774 \u2212 623,904 = \u2212561,130\n\nAnswer: -561130"} +{"tag": "live-3d795", "kind": "arith", "ok": true, "answer": "-329059", "out": "2687 \u00d7 35 = 94,045\n4988 \u00d7 85 = 423,980\n94,045 \u2212 423,980 + 876 = \u2212329,059\n\nAnswer: -329059"} +{"tag": "live-3d795", "kind": "arith", "ok": true, "answer": "-584058", "out": "1669 \u00d7 60 = 100,140\n7059 \u00d7 97 = 684,723\n100,140 \u2212 684,723 + 525 = \u2212584,058\n\nAnswer: -584058"} +{"tag": "live-3d795", "kind": "arith", "ok": true, "answer": "-90863", "out": "2598 \u00d7 31 = 80,538\n3514 \u00d7 49 = 172,186\n80,538 \u2212 172,186 = \u221291,648\n\u221291,648 + 785 = \u221290,863\n\nAnswer: -90863"} +{"tag": "live-3d795", "kind": "arith", "ok": true, "answer": "-49815", "out": "6525 \u00d7 28 = 182,700\n9308 \u00d7 25 = 232,700\n182,700 \u2212 232,700 = \u221250,000\n\u221250,000 + 185 = \u221249,815\n\nAnswer: -49815"} +{"tag": "live-3d795", "kind": "arith", "ok": true, "answer": "-170174", "out": "2206 \u00d7 55 = 121,330\n7691 \u00d7 38 = 292,258\n121,330 \u2212 292,258 = \u2212170,928\n\u2212170,928 + 754 = \u2212170,174\n\nAnswer: -170174"} +{"tag": "live-3d795", "kind": "arith", "ok": true, "answer": "-131498", "out": "5088 \u00d7 56 = 284,928\n8685 \u00d7 48 = 416,880\n284,928 \u2212 416,880 = \u2212131,952\n\u2212131,952 + 454 = \u2212131,498\n\nAnswer: -131498"} +{"tag": "live-3d795", "kind": "arith", "ok": true, "answer": "-238910", "out": "7042 \u00d7 16 = 112,672\n7337 \u00d7 48 = 352,176\n112,672 \u2212 352,176 = \u2212239,504\n\u2212239,504 + 594 = \u2212238,910\n\nAnswer: -238910"} +{"tag": "live-3d795", "kind": "arith", "ok": true, "answer": "136325", "out": "4187 \u00d7 64 = 267,968\n2645 \u00d7 50 = 132,250\n267,968 \u2212 132,250 = 135,718\n135,718 + 607 = 136,325\n\nAnswer: 136325"} +{"tag": "live-3d795", "kind": "arith", "ok": true, "answer": "-353650", "out": "5511 \u00d7 78 = 429,858\n9225 \u00d7 85 = 784,125\n429,858 \u2212 784,125 = \u2212354,267\n\u2212354,267 + 617 = \u2212353,650\n\nAnswer: -353650"} +{"tag": "live-3d795", "kind": "arith", "ok": true, "answer": "649051", "out": "9175 \u00d7 87 = 798,225\n6242 \u00d7 24 = 149,808\n798,225 \u2212 149,808 = 648,417\n648,417 + 634 = 649,051\n\nAnswer: 649051"} +{"tag": "live-3d795", "kind": "arith", "ok": true, "answer": "-206372", "out": "8754 \u00d7 27 = 236,358\n6238 \u00d7 71 = 442,898\n236,358 \u2212 442,898 + 168 = \u2212206,372\n\nAnswer: -206372"} +{"tag": "live-3d795", "kind": "arith", "ok": true, "answer": "376484", "out": "9921 \u00d7 47 = 466,287\n6035 \u00d7 15 = 90,525\n466,287 \u2212 90,525 = 375,762\n375,762 + 722 = 376,484\n\nAnswer: 376484"} +{"tag": "live-3d795", "kind": "arith", "ok": true, "answer": "190532", "out": "6168 \u00d7 52 = 320,736\n3444 \u00d7 38 = 130,872\n320,736 \u2212 130,872 = 189,864\n189,864 + 668 = 190,532\n\nAnswer: 190532"} +{"tag": "live-3d795", "kind": "arith", "ok": true, "answer": "130853", "out": "6819 \u00d7 54 = 368,226\n4863 \u00d7 49 = 238,287\n368,226 \u2212 238,287 = 129,939\n129,939 + 914 = 130,853\n\nAnswer: 130853"} +{"tag": "live-3d795", "kind": "arith", "ok": true, "answer": "-79730", "out": "8187 \u00d7 38 = 311,106\n6995 \u00d7 56 = 391,720\n311,106 \u2212 391,720 = \u221280,614\n\u221280,614 + 884 = \u221279,730\n\nAnswer: -79730"} +{"tag": "live-3d795", "kind": "arith", "ok": true, "answer": "372480", "out": "5768 \u00d7 88 = 507,584\n9048 \u00d7 15 = 135,720\n507,584 \u2212 135,720 = 371,864\n371,864 + 616 = 372,480\n\nAnswer: 372480"} +{"tag": "live-3d795", "kind": "arith", "ok": true, "answer": "-224669", "out": "2633 \u00d7 20 = 52,660\n4880 \u00d7 57 = 278,160\n52,660 \u2212 278,160 + 831 = \u2212224,669\n\nAnswer: -224669"} +{"tag": "live-3d795", "kind": "arith", "ok": true, "answer": "171986", "out": "9247 \u00d7 24 = 221,928\n1620 \u00d7 31 = 50,220\n221,928 \u2212 50,220 = 171,708\n171,708 + 278 = 171,986\n\nAnswer: 171986"} +{"tag": "live-3d795", "kind": "arith", "ok": true, "answer": "-126408", "out": "1069 \u00d7 60 = 64,140\n2273 \u00d7 84 = 190,932\n64,140 \u2212 190,932 + 384 = \u2212126,408\n\nAnswer: -126408"} +{"tag": "live-3d795", "kind": "arith", "ok": true, "answer": "-48048", "out": "4237 \u00d7 19 = 80,503\n5609 \u00d7 23 = 129,007\n80,503 \u2212 129,007 = \u221248,504\n\u221248,504 + 456 = \u221248,048\n\nAnswer: -48048"} +{"tag": "live-3d795", "kind": "arith", "ok": true, "answer": "-18682", "out": "6261 \u00d7 40 = 250,440\n7926 \u00d7 34 = 269,484\n250,440 \u2212 269,484 = \u221219,044\n\u221219,044 + 362 = \u221218,682\n\nAnswer: -18682"} +{"tag": "live-3d795", "kind": "arith", "ok": true, "answer": "93433", "out": "3049 \u00d7 83 = 253,067\n1823 \u00d7 88 = 160,424\n253,067 \u2212 160,424 = 92,643\n92,643 + 790 = 93,433\n\nAnswer: 93433"} +{"tag": "live-3d795", "kind": "arith", "ok": true, "answer": "-264534", "out": "6036 \u00d7 24 = 144,864\n5692 \u00d7 72 = 409,824\n144,864 \u2212 409,824 = \u2212264,960\n\u2212264,960 + 426 = \u2212264,534\n\nAnswer: -264534"} +{"tag": "live-3d795", "kind": "arith", "ok": true, "answer": "241272", "out": "6097 \u00d7 68 = 414,596\n7227 \u00d7 24 = 173,448\n414,596 \u2212 173,448 = 241,148\n241,148 + 124 = 241,272\n\nAnswer: 241272"} +{"tag": "live-3d795", "kind": "arith", "ok": true, "answer": "407077", "out": "8453 \u00d7 88 = 743,864\n3787 \u00d7 89 = 337,043\n743,864 \u2212 337,043 = 406,821\n406,821 + 256 = 407,077\n\nAnswer: 407077"} +{"tag": "live-3d795", "kind": "arith", "ok": true, "answer": "-63597", "out": "3233 \u00d7 71 = 229,543\n5653 \u00d7 52 = 293,956\n229,543 \u2212 293,956 = \u221264,413\n\u221264,413 + 816 = \u221263,597\n\nAnswer: -63597"} +{"tag": "live-3d795", "kind": "arith", "ok": true, "answer": "8579", "out": "2520 \u00d7 96 = 241,920\n9008 \u00d7 26 = 234,208\n241,920 \u2212 234,208 = 7,712\n7,712 + 867 = 8,579\n\nAnswer: 8579"} +{"tag": "live-3d795", "kind": "arith", "ok": true, "answer": "72266", "out": "7583 \u00d7 23 = 174,409\n3306 \u00d7 31 = 102,486\n174,409 \u2212 102,486 = 71,923\n71,923 + 343 = 72,266\n\nAnswer: 72266"} +{"tag": "live-3d795", "kind": "arith", "ok": true, "answer": "-303638", "out": "8824 \u00d7 41 = 361,784\n9377 \u00d7 71 = 665,767\n361,784 \u2212 665,767 = \u2212303,983\n\u2212303,983 + 345 = \u2212303,638\n\nAnswer: -303638"} +{"tag": "live-3d795", "kind": "arith", "ok": true, "answer": "-112969", "out": "3074 \u00d7 66 = 202,884\n3599 \u00d7 88 = 316,712\n202,884 \u2212 316,712 = \u2212113,828\n\u2212113,828 + 859 = \u2212112,969\n\nAnswer: -112969"} +{"tag": "live-3d795", "kind": "arith", "ok": true, "answer": "511530", "out": "6324 \u00d7 88 = 556,512\n1573 \u00d7 29 = 45,617\n556,512 \u2212 45,617 = 510,895\n510,895 + 635 = 511,530\n\nAnswer: 511530"} +{"tag": "live-3d795", "kind": "arith", "ok": true, "answer": "-417515", "out": "5827 \u00d7 15 = 87,405\n6243 \u00d7 81 = 505,683\n87,405 \u2212 505,683 + 763 = \u2212417,515\n\nAnswer: -417515"} +{"tag": "live-3d795", "kind": "arith", "ok": true, "answer": "267298", "out": "6824 \u00d7 59 = 6824 \u00d7 60 \u2212 6824 = 409440 \u2212 6824 = 402616\n9085 \u00d7 15 = 136275\n402616 \u2212 136275 = 266341\n266341 + 957 = 267298\n\nAnswer: 267298"} +{"tag": "live-3d795", "kind": "arith", "ok": true, "answer": "-542711", "out": "2125 \u00d7 73 = 155,125\n8221 \u00d7 85 = 698,785\n155,125 \u2212 698,785 = \u2212543,660\n\u2212543,660 + 949 = \u2212542,711\n\nAnswer: -542711"} +{"tag": "live-3d795", "kind": "arith", "ok": true, "answer": "-230441", "out": "7743 \u00d7 37 = 286,491\n7724 \u00d7 67 = 517,508\n286,491 \u2212 517,508 + 576 = \u2212230,441\n\nAnswer: -230441"} +{"tag": "live-3d795", "kind": "arith", "ok": true, "answer": "-150063", "out": "8956 \u00d7 22 = 197,032\n7095 \u00d7 49 = 347,655\n197,032 \u2212 347,655 = \u2212150,623\n\u2212150,623 + 560 = \u2212150,063\n\nAnswer: -150063"} +{"tag": "live-3d795", "kind": "arith", "ok": true, "answer": "-45751", "out": "6483 \u00d7 92 = 596,436\n7740 \u00d7 83 = 642,420\n596,436 \u2212 642,420 = \u221245,984\n\u221245,984 + 233 = \u221245,751\n\nAnswer: -45751"} +{"tag": "live-3d795", "kind": "arith", "ok": true, "answer": "349226", "out": "6876 \u00d7 77 = 529,452\n7526 \u00d7 24 = 180,624\n529,452 \u2212 180,624 = 348,828\n348,828 + 398 = 349,226\n\nAnswer: 349226"} +{"tag": "live-3d795", "kind": "arith", "ok": true, "answer": "126", "out": "3455 \u00d7 73 = 241850 + 10365 = 252215\n2836 \u00d7 89 = 255240 \u2212 2836 = 252404\n252215 \u2212 252404 + 315 = 126\n\nAnswer: 126"} +{"tag": "live-3d795", "kind": "arith", "ok": true, "answer": "404495", "out": "9 \u00d7 90 + 7709 = 693810 + 7709 = 701519\n8507 \u00d7 35 = 8507 \u00d7 30 + 8507 \u00d7 5 = 255210 + 42535 = 297745\n701519 \u2212 297745 = 403774\n403774 + 721 = 404495\n\nAnswer: 404495"} +{"tag": "live-3d795", "kind": "arith", "ok": true, "answer": "140586", "out": "8753 \u00d7 92 = 805,276\n8117 \u00d7 82 = 665,594\n805,276 \u2212 665,594 = 139,682\n139,682 + 904 = 140,586\n\nAnswer: 140586"} +{"tag": "live-3d795", "kind": "arith", "ok": true, "answer": "-29023", "out": "4060 \u00d7 64 = 259,840\n2987 \u00d7 97 = 2987 \u00d7 100 \u2212 2987 \u00d7 3 = 298,700 \u2212 8,961 = 289,739\n259,840 \u2212 289,739 + 876 = \u221229,023\n\nAnswer: -29023"} +{"tag": "live-3d795", "kind": "arith", "ok": true, "answer": "50695", "out": "6695 \u00d7 82 = 548,990\n9774 \u00d7 51 = 498,474\n548,990 \u2212 498,474 = 50,516\n50,516 + 179 = 50,695\n\nAnswer: 50695"} +{"tag": "live-3d795", "kind": "arith", "ok": true, "answer": "-16815", "out": "7609 \u00d7 25 = 190,225\n3289 \u00d7 63 = 207,207\n190,225 \u2212 207,207 + 167 = \u221216,815\n\nAnswer: -16815"} +{"tag": "live-3d795", "kind": "arith", "ok": true, "answer": "826865", "out": "\u00d7 100 \u2212 9197 \u00d7 3 = 919700 \u2212 27591 = 892109\n2452 \u00d7 27 = 2452 \u00d7 20 + 2452 \u00d7 7 = 49040 + 17164 = 66204\n892109 \u2212 66204 + 960 = 825905 + 960 = 826865\n\nAnswer: 826865"} +{"tag": "live-3d795", "kind": "arith", "ok": true, "answer": "155143", "out": "6494 \u00d7 44 = 285,736\n2118 \u00d7 62 = 131,316\n285,736 \u2212 131,316 = 154,420\n154,420 + 723 = 155,143\n\nAnswer: 155143"} +{"tag": "live-3d795", "kind": "arith", "ok": true, "answer": "114189", "out": "3891 \u00d7 91 = 354,081\n3762 \u00d7 64 = 240,768\n354,081 \u2212 240,768 = 113,313\n113,313 + 876 = 114,189\n\nAnswer: 114189"} +{"tag": "live-3d795", "kind": "arith", "ok": true, "answer": "370597", "out": "7173 \u00d7 89 = 638,397\n8669 \u00d7 31 = 268,739\n638,397 \u2212 268,739 = 369,658\n369,658 + 939 = 370,597\n\nAnswer: 370597"} +{"tag": "live-3d795", "kind": "arith", "ok": true, "answer": "-46144", "out": "8653 \u00d7 14 = 121,142\n5406 \u00d7 31 = 167,586\n121,142 \u2212 167,586 + 300 = \u221246,144\n\nAnswer: -46144"} +{"tag": "live-3d795", "kind": "arith", "ok": true, "answer": "174618", "out": "6654 \u00d7 73 = 485,742\n6501 \u00d7 48 = 312,048\n485,742 \u2212 312,048 = 173,694\n173,694 + 924 = 174,618\n\nAnswer: 174618"} +{"tag": "live-3d795", "kind": "arith", "ok": true, "answer": "-71328", "out": "5549 \u00d7 29 = 160,921\n8626 \u00d7 27 = 232,902\n160,921 \u2212 232,902 + 653 = \u221271,328\n\nAnswer: -71328"} +{"tag": "live-3d795", "kind": "arith", "ok": true, "answer": "-85671", "out": "2253 \u00d7 91 = 205,023\n5197 \u00d7 56 = 291,032\n205,023 \u2212 291,032 + 338 = \u221285,671\n\nAnswer: -85671"} +{"tag": "live-3d795", "kind": "arith", "ok": true, "answer": "78091", "out": " 6496 \u00d7 80 \u2212 6496 = 519680 \u2212 6496 = 513184\n6048 \u00d7 72 = 6048 \u00d7 70 + 6048 \u00d7 2 = 423360 + 12096 = 435456\n513184 \u2212 435456 = 77728\n77728 + 363 = 78091\n\nAnswer: 78091"} +{"tag": "live-3d795", "kind": "arith", "ok": true, "answer": "-86911", "out": "3599 \u00d7 45 = 161,955\n9994 \u00d7 25 = 249,850\n161,955 \u2212 249,850 = \u221287,895\n\u221287,895 + 984 = \u221286,911\n\nAnswer: -86911"} +{"tag": "live-3d795", "kind": "arith", "ok": true, "answer": "205431", "out": "5222 \u00d7 66 = 344,652\n2335 \u00d7 60 = 140,100\n344,652 \u2212 140,100 = 204,552\n204,552 + 879 = 205,431\n\nAnswer: 205431"} +{"tag": "live-3d795", "kind": "arith", "ok": true, "answer": "212206", "out": "6604 \u00d7 75 = 495,300\n4291 \u00d7 66 = 283,206\n495,300 \u2212 283,206 = 212,094\n212,094 + 112 = 212,206\n\nAnswer: 212206"} +{"tag": "live-3d795", "kind": "arith", "ok": true, "answer": "383600", "out": "8998 \u00d7 56 = 503,888\n1861 \u00d7 65 = 120,965\n503,888 \u2212 120,965 = 382,923\n382,923 + 677 = 383,600\n\nAnswer: 383600"} +{"tag": "live-3d795", "kind": "arith", "ok": true, "answer": "29108", "out": "2906 \u00d7 53 = 154,018\n4055 \u00d7 31 = 125,705\n154,018 \u2212 125,705 = 28,313\n28,313 + 795 = 29,108\n\nAnswer: 29108"} +{"tag": "live-3d795", "kind": "arith", "ok": true, "answer": "-388311", "out": "2895 \u00d7 19 = 55,005\n5346 \u00d7 83 = 443,718\n55,005 \u2212 443,718 + 402 = \u2212388,311\n\nAnswer: -388311"} +{"tag": "live-3d795", "kind": "arith", "ok": true, "answer": "-278321", "out": "5991 \u00d7 74 = 443,334\n8303 \u00d7 87 = 722,361\n443,334 \u2212 722,361 = \u2212279,027\n\u2212279,027 + 706 = \u2212278,321\n\nAnswer: -278321"} +{"tag": "live-3d795", "kind": "arith", "ok": true, "answer": "156958", "out": "3955 \u00d7 57 = 225,435\n1324 \u00d7 52 = 68,848\n225,435 \u2212 68,848 = 156,587\n156,587 + 371 = 156,958\n\nAnswer: 156958"} +{"tag": "live-3d795", "kind": "arith", "ok": true, "answer": "-209685", "out": "5067 \u00d7 36 = 182,412\n4177 \u00d7 94 = 392,638\n182,412 \u2212 392,638 = \u2212210,226\n\u2212210,226 + 541 = \u2212209,685\n\nAnswer: -209685"} +{"tag": "live-3d795", "kind": "arith", "ok": true, "answer": "-60104", "out": "4168 \u00d7 96 = 400,128\n6058 \u00d7 76 = 460,408\n400,128 \u2212 460,408 + 176 = \u221260,104\n\nAnswer: -60104"} +{"tag": "live-3d795", "kind": "arith", "ok": true, "answer": "-12633", "out": "7021 \u00d7 34 = 238,714\n3072 \u00d7 82 = 251,904\n238,714 \u2212 251,904 = \u221213,190\n\u221213,190 + 557 = \u221212,633\n\nAnswer: -12633"} +{"tag": "live-3d795", "kind": "arith", "ok": true, "answer": "254804", "out": "3716 \u00d7 90 = 334,440\n1462 \u00d7 55 = 80,410\n334,440 \u2212 80,410 = 254,030\n254,030 + 774 = 254,804\n\nAnswer: 254804"} +{"tag": "live-3d795", "kind": "arith", "ok": true, "answer": "-54951", "out": "3963 \u00d7 35 = 138,705\n4405 \u00d7 44 = 193,820\n138,705 \u2212 193,820 + 164 = \u221255,115 + 164 = \u221254,951\n\nAnswer: -54951"} +{"tag": "live-3d795", "kind": "arith", "ok": true, "answer": "-18116", "out": "5232 \u00d7 26 = 136,032\n2066 \u00d7 75 = 154,950\n136,032 \u2212 154,950 + 802 = \u221218,918 + 802 = \u221218,116\n\nAnswer: -18116"} +{"tag": "live-3d795", "kind": "arith", "ok": true, "answer": "70171", "out": "2966 \u00d7 51 = 151,266\n1540 \u00d7 53 = 81,620\n151,266 \u2212 81,620 = 69,646\n69,646 + 525 = 70,171\n\nAnswer: 70171"} +{"tag": "live-3d795", "kind": "arith", "ok": true, "answer": "101064", "out": "9812 \u00d7 53 = 520,036\n9332 \u00d7 45 = 419,940\n520,036 \u2212 419,940 = 100,096\n100,096 + 968 = 101,064\n\nAnswer: 101064"} +{"tag": "live-3d795", "kind": "arith", "ok": true, "answer": "-82095", "out": "7495 \u00d7 69 = 517,155\n9372 \u00d7 64 = 599,808\n517,155 \u2212 599,808 + 558 = \u221282,095\n\nAnswer: -82095"} +{"tag": "live-3d795", "kind": "arith", "ok": true, "answer": "-61936", "out": "2450 \u00d7 30 = 73,500\n5901 \u00d7 23 = 135,723\n73,500 \u2212 135,723 = \u221262,223\n\u221262,223 + 287 = \u221261,936\n\nAnswer: -61936"} +{"tag": "live-3d795", "kind": "arith", "ok": true, "answer": "-96402", "out": "8325 \u00d7 83 = 690,975\n8949 \u00d7 88 = 787,512\n690,975 \u2212 787,512 = \u221296,537\n\u221296,537 + 135 = \u221296,402\n\nAnswer: -96402"} +{"tag": "live-3d795", "kind": "arith", "ok": true, "answer": "81765", "out": "4878 \u00d7 51 = 248,778\n5066 \u00d7 33 = 167,178\n248,778 \u2212 167,178 = 81,600\n81,600 + 165 = 81,765\n\nAnswer: 81765"} +{"tag": "live-3d795", "kind": "arith", "ok": true, "answer": "55365", "out": "4710 \u00d7 60 = 282,600\n8151 \u00d7 28 = 228,228\n282,600 \u2212 228,228 = 54,372\n54,372 + 993 = 55,365\n\nAnswer: 55365"} +{"tag": "live-3d795", "kind": "arith", "ok": true, "answer": "12719", "out": "7030 \u00d7 26 = 182,780\n2748 \u00d7 62 = 170,376\n182,780 \u2212 170,376 = 12,404\n12,404 + 315 = 12,719\n\nAnswer: 12719"} +{"tag": "live-3d795", "kind": "arith", "ok": true, "answer": "-113286", "out": "5695 \u00d7 57 = 324,615\n7832 \u00d7 56 = 438,592\n324,615 \u2212 438,592 = \u2212113,977\n\u2212113,977 + 691 = \u2212113,286\n\nAnswer: -113286"} +{"tag": "live-3d795", "kind": "arith", "ok": true, "answer": "-294892", "out": "7567 \u00d7 43 = 325,381\n9131 \u00d7 68 = 620,908\n325,381 \u2212 620,908 = \u2212295,527\n\u2212295,527 + 635 = \u2212294,892\n\nAnswer: -294892"} +{"tag": "live-3d795", "kind": "arith", "ok": true, "answer": "-89555", "out": "2454 \u00d7 70 = 171,780\n2725 \u00d7 96 = 261,600\n171,780 \u2212 261,600 = \u221289,820\n\u221289,820 + 265 = \u221289,555\n\nAnswer: -89555"} +{"tag": "live-3d795", "kind": "arith", "ok": true, "answer": "396623", "out": "8603 \u00d7 79 = 679,637\n3837 \u00d7 74 = 283,938\n679,637 \u2212 283,938 = 395,699\n395,699 + 924 = 396,623\n\nAnswer: 396623"} +{"tag": "live-3d795", "kind": "arith", "ok": true, "answer": "43550", "out": "9400 \u00d7 40 = 376,000\n7395 \u00d7 45 = 332,775\n376,000 \u2212 332,775 = 43,225\n43,225 + 325 = 43,550\n\nAnswer: 43550"} +{"tag": "live-3d795", "kind": "arith", "ok": true, "answer": "-540379", "out": "5715 \u00d7 36 = 205,740\n8685 \u00d7 86 = 746,910\n205,740 \u2212 746,910 = \u2212541,170\n\u2212541,170 + 791 = \u2212540,379\n\nAnswer: -540379"} +{"tag": "live-3d795", "kind": "arith", "ok": true, "answer": "-122358", "out": "2314 \u00d7 84 = 194,376\n6742 \u00d7 47 = 316,874\n194,376 \u2212 316,874 = \u2212122,498\n\u2212122,498 + 140 = \u2212122,358\n\nAnswer: -122358"} +{"tag": "live-3d795", "kind": "arith", "ok": true, "answer": "409753", "out": "5260 \u00d7 89 = 468,140\n1834 \u00d7 32 = 58,688\n468,140 \u2212 58,688 = 409,452\n409,452 + 301 = 409,753\n\nAnswer: 409753"} +{"tag": "live-3d795", "kind": "arith", "ok": true, "answer": "-330799", "out": "6878 \u00d7 54 = 371,412\n8370 \u00d7 84 = 703,080\n371,412 \u2212 703,080 + 869 = \u2212330,799\n\nAnswer: -330799"} +{"tag": "live-3d795", "kind": "arith", "ok": true, "answer": "-237705", "out": "1781 \u00d7 90 = 160,290\n8658 \u00d7 46 = 398,268\n160,290 \u2212 398,268 + 273 = \u2212237,705\n\nAnswer: -237705"} +{"tag": "live-3d795", "kind": "arith", "ok": true, "answer": "-153904", "out": "9018 \u00d7 29 = 261,522\n5779 \u00d7 72 = 416,088\n261,522 \u2212 416,088 = \u2212154,566\n\u2212154,566 + 662 = \u2212153,904\n\nAnswer: -153904"} +{"tag": "live-3d795", "kind": "arith", "ok": true, "answer": "265113", "out": "4398 \u00d7 95 = 417,810\n1705 \u00d7 90 = 153,450\n417,810 \u2212 153,450 = 264,360\n264,360 + 753 = 265,113\n\nAnswer: 265113"} +{"tag": "live-3d795", "kind": "arith", "ok": true, "answer": "-47438", "out": "1947 \u00d7 26 = 50,622\n1371 \u00d7 72 = 98,712\n50,622 \u2212 98,712 + 652 = \u221248,090 + 652 = \u221247,438\n\nAnswer: -47438"} +{"tag": "live-3d795", "kind": "arith", "ok": true, "answer": "30899", "out": "5973 \u00d7 25 = 149,325\n2197 \u00d7 54 = 118,638\n149,325 \u2212 118,638 = 30,687\n30,687 + 212 = 30,899\n\nAnswer: 30899"} +{"tag": "live-3d795", "kind": "arith", "ok": true, "answer": "414096", "out": "5880 \u00d7 95 = 558,600\n6291 \u00d7 23 = 144,693\n558,600 \u2212 144,693 = 413,907\n413,907 + 189 = 414,096\n\nAnswer: 414096"} +{"tag": "live-3d795", "kind": "arith", "ok": true, "answer": "-377848", "out": "2050 \u00d7 42 = 86,100\n6369 \u00d7 73 = 464,937\n86,100 \u2212 464,937 + 989 = \u2212377,848\n\nAnswer: -377848"} +{"tag": "live-3d795", "kind": "arith", "ok": true, "answer": "-12260", "out": "2233 \u00d7 16 = 35728\n2117 \u00d7 23 = 48691\n35728 \u2212 48691 + 703 = \u221212963 + 703 = \u221212260\n\nAnswer: -12260"} +{"tag": "live-3d795", "kind": "arith", "ok": true, "answer": "-276957", "out": "3721 \u00d7 90 = 334,890\n6313 \u00d7 97 = 612,361\n334,890 \u2212 612,361 = \u2212277,471\n\u2212277,471 + 514 = \u2212276,957\n\nAnswer: -276957"} +{"tag": "live-3d795", "kind": "arith", "ok": true, "answer": "-268149", "out": "1163 \u00d7 86 = 100,018\n9000 \u00d7 41 = 369,000\n100,018 \u2212 369,000 + 833 = \u2212268,149\n\nAnswer: -268149"} +{"tag": "live-3d795", "kind": "arith", "ok": true, "answer": "589317", "out": "7627 \u00d7 86 = 655,922\n3931 \u00d7 17 = 66,827\n655,922 \u2212 66,827 = 589,095\n589,095 + 222 = 589,317\n\nAnswer: 589317"} +{"tag": "live-3d795", "kind": "arith", "ok": true, "answer": "-122292", "out": "1189 \u00d7 34 = 40,426\n2768 \u00d7 59 = 163,312\n40,426 \u2212 163,312 + 594 = \u2212122,292\n\nAnswer: -122292"} +{"tag": "live-3d795", "kind": "arith", "ok": true, "answer": "-299538", "out": "2909 \u00d7 66 = 191,994\n9459 \u00d7 52 = 491,868\n191,994 \u2212 491,868 + 336 = \u2212299,538\n\nAnswer: -299538"} +{"tag": "live-3d795", "kind": "arith", "ok": true, "answer": "276153", "out": "7019 \u00d7 69 = 7019 \u00d7 70 \u2212 7019 = 491330 \u2212 7019 = 484311\n8341 \u00d7 25 = 208525\n484311 \u2212 208525 = 275786\n275786 + 367 = 276153\n\nAnswer: 276153"} +{"tag": "live-3d795", "kind": "arith", "ok": true, "answer": "-399291", "out": "Factor out 88: (2379 \u2212 6926) \u00d7 88 + 845 = (\u22124547) \u00d7 88 + 845 = \u2212400136 + 845 = \u2212399291\n\nAnswer: -399291"} +{"tag": "live-3d795", "kind": "arith", "ok": true, "answer": "-66758", "out": "1247 \u00d7 59 = 73,573\n2995 \u00d7 47 = 140,765\n73,573 \u2212 140,765 + 434 = \u221266,758\n\nAnswer: -66758"} +{"tag": "live-3d795", "kind": "arith", "ok": true, "answer": "-380329", "out": "1288 \u00d7 96 = 123,648\n5800 \u00d7 87 = 504,600\n123,648 \u2212 504,600 + 623 = \u2212380,329\n\nAnswer: -380329"} +{"tag": "live-3d795", "kind": "arith", "ok": true, "answer": "-198813", "out": "1088 \u00d7 56 = 60,928\n2801 \u00d7 93 = 260,493\n60,928 \u2212 260,493 + 752 = \u2212198,813\n\nAnswer: -198813"} +{"tag": "live-3d795", "kind": "arith", "ok": true, "answer": "-7903", "out": "3203 \u00d7 41 = 131,323\n3246 \u00d7 43 = 139,578\n131,323 \u2212 139,578 = \u22128,255\n\u22128,255 + 352 = \u22127,903\n\nAnswer: -7903"} +{"tag": "live-3d795", "kind": "arith", "ok": true, "answer": "338776", "out": "9267 \u00d7 84 = 778,428\n6872 \u00d7 64 = 439,808\n778,428 \u2212 439,808 = 338,620\n338,620 + 156 = 338,776\n\nAnswer: 338776"} +{"tag": "live-3d795", "kind": "arith", "ok": true, "answer": "227531", "out": "8316 \u00d7 79 = 656,964\n9357 \u00d7 46 = 430,422\n656,964 \u2212 430,422 = 226,542\n226,542 + 989 = 227,531\n\nAnswer: 227531"} +{"tag": "live-3d795", "kind": "arith", "ok": true, "answer": "-244230", "out": "1380 \u00d7 82 = 113,160\n5969 \u00d7 60 = 358,140\n113,160 \u2212 358,140 = \u2212244,980\n\u2212244,980 + 750 = \u2212244,230\n\nAnswer: -244230"} +{"tag": "live-3d795", "kind": "arith", "ok": true, "answer": "-301848", "out": "3242 \u00d7 17 = 55,114\n6501 \u00d7 55 = 357,555\n55,114 \u2212 357,555 + 593 = 55,707 \u2212 357,555 = \u2212301,848\n\nAnswer: -301848"} +{"tag": "live-3d795", "kind": "arith", "ok": true, "answer": "-224010", "out": "6377 \u00d7 61 = 388,997\n6388 \u00d7 96 = 613,248\n388,997 \u2212 613,248 = \u2212224,251\n\u2212224,251 + 241 = \u2212224,010\n\nAnswer: -224010"} +{"tag": "live-3d795", "kind": "arith", "ok": true, "answer": "-30955", "out": "1603 \u00d7 13 = 20,839\n3291 \u00d7 16 = 52,656\n20,839 \u2212 52,656 = \u221231,817\n\u221231,817 + 862 = \u221230,955\n\nAnswer: -30955"} +{"tag": "live-3d795", "kind": "arith", "ok": true, "answer": "82011", "out": "9528 \u00d7 27 = 257,256\n8780 \u00d7 20 = 175,600\n257,256 \u2212 175,600 = 81,656\n81,656 + 355 = 82,011\n\nAnswer: 82011"} +{"tag": "live-3d795", "kind": "arith", "ok": true, "answer": "32409", "out": "3854 \u00d7 58 = 223,532\n2253 \u00d7 85 = 191,505\n223,532 \u2212 191,505 = 32,027\n32,027 + 382 = 32,409\n\nAnswer: 32409"} +{"tag": "live-3d795", "kind": "arith", "ok": true, "answer": "49681", "out": "4290 \u00d7 42 = 180,180\n6563 \u00d7 20 = 131,260\n180,180 \u2212 131,260 = 48,920\n48,920 + 761 = 49,681\n\nAnswer: 49681"} +{"tag": "live-3d795", "kind": "arith", "ok": true, "answer": "55954", "out": "4850 \u00d7 41 = 198,850\n1559 \u00d7 92 = 143,428\n198,850 \u2212 143,428 = 55,422\n55,422 + 532 = 55,954\n\nAnswer: 55954"} +{"tag": "live-3d795", "kind": "arith", "ok": true, "answer": "-765927", "out": "5753 \u00d7 21 = 120,813\n9244 \u00d7 96 = 887,424\n120,813 \u2212 887,424 + 684 = \u2212765,927\n\nAnswer: -765927"} +{"tag": "live-3d795", "kind": "arith", "ok": true, "answer": "-17105", "out": "8007 \u00d7 62 = 496,434\n9512 \u00d7 54 = 513,648\n496,434 \u2212 513,648 = \u221217,214\n\u221217,214 + 109 = \u221217,105\n\nAnswer: -17105"} +{"tag": "live-3d795", "kind": "arith", "ok": true, "answer": "-181974", "out": "2408 \u00d7 81 = 195,048\n9679 \u00d7 39 = 377,481\n195,048 \u2212 377,481 + 459 = \u2212181,974\n\nAnswer: -181974"} +{"tag": "live-3d795", "kind": "arith", "ok": true, "answer": "-16426", "out": "8046 \u00d7 30 = 241,380\n4613 \u00d7 56 = 258,328\n241,380 \u2212 258,328 + 522 = \u221216,426\n\nAnswer: -16426"} +{"tag": "live-3d795", "kind": "arith", "ok": true, "answer": "-358261", "out": "1706 \u00d7 25 = 42,650\n9344 \u00d7 43 = 401,792\n42,650 \u2212 401,792 + 881 = \u2212358,261\n\nAnswer: -358261"} +{"tag": "live-3d795", "kind": "arith", "ok": true, "answer": "-16385", "out": "8938 \u00d7 19 = 169,822\n2278 \u00d7 82 = 186,796\n169,822 \u2212 186,796 = \u221216,974\n\u221216,974 + 589 = \u221216,385\n\nAnswer: -16385"} +{"tag": "live-3d795", "kind": "arith", "ok": true, "answer": "-104940", "out": "9193 \u00d7 22 = 202,246\n5124 \u00d7 60 = 307,440\n202,246 \u2212 307,440 = \u2212105,194\n\u2212105,194 + 254 = \u2212104,940\n\nAnswer: -104940"} +{"tag": "live-3d795", "kind": "arith", "ok": true, "answer": "369460", "out": "9279 \u00d7 57 = 528,903\n3560 \u00d7 45 = 160,200\n528,903 \u2212 160,200 = 368,703\n368,703 + 757 = 369,460\n\nAnswer: 369460"} +{"tag": "live-3d795", "kind": "arith", "ok": true, "answer": "100772", "out": "5604 \u00d7 29 = 162,516\n1063 \u00d7 59 = 62,717\n162,516 \u2212 62,717 = 99,799\n99,799 + 973 = 100,772\n\nAnswer: 100772"} +{"tag": "live-3d795", "kind": "arith", "ok": true, "answer": "66339", "out": "7070 \u00d7 30 = 212,100\n2989 \u00d7 49 = 146,461\n212,100 \u2212 146,461 = 65,639\n65,639 + 700 = 66,339\n\nAnswer: 66339"} +{"tag": "live-3d795", "kind": "arith", "ok": true, "answer": "472525", "out": "8596 \u00d7 80 = 687,680\n3314 \u00d7 65 = 215,410\n687,680 \u2212 215,410 = 472,270\n472,270 + 255 = 472,525\n\nAnswer: 472525"} +{"tag": "live-3d795", "kind": "arith", "ok": true, "answer": "238859", "out": "8035 \u00d7 47 = 8035 \u00d7 40 + 8035 \u00d7 7 = 321400 + 56245 = 377645\n1742 \u00d7 80 = 139360\n377645 \u2212 139360 = 238285\n238285 + 574 = 238859\n\nAnswer: 238859"} +{"tag": "live-3d795", "kind": "arith", "ok": true, "answer": "581380", "out": "00 \u2212 7499 \u00d7 3 = 749900 \u2212 22497 = 727403\n5219 \u00d7 28 = 5219 \u00d7 30 \u2212 5219 \u00d7 2 = 156570 \u2212 10438 = 146132\n727403 \u2212 146132 + 109 = 581271 + 109 = 581380\n\nAnswer: 581380"} +{"tag": "live-3d795", "kind": "arith", "ok": true, "answer": "-216360", "out": "1385 \u00d7 30 = 41,550\n6985 \u00d7 37 = 258,445\n41,550 \u2212 258,445 + 535 = \u2212216,360\n\nAnswer: -216360"} +{"tag": "live-3d795", "kind": "arith", "ok": true, "answer": "63901", "out": "4823 \u00d7 96 = 463,008\n8693 \u00d7 46 = 399,878\n463,008 \u2212 399,878 = 63,130\n63,130 + 771 = 63,901\n\nAnswer: 63901"} +{"tag": "live-3d795", "kind": "arith", "ok": true, "answer": "89176", "out": "8180 \u00d7 28 = 229,040\n1523 \u00d7 92 = 140,116\n229,040 \u2212 140,116 = 88,924\n88,924 + 252 = 89,176\n\nAnswer: 89176"} +{"tag": "live-3d795", "kind": "arith", "ok": true, "answer": "52179", "out": "3692 \u00d7 80 = 295,360\n3989 \u00d7 61 = 243,329\n295,360 \u2212 243,329 = 52,031\n52,031 + 148 = 52,179\n\nAnswer: 52179"} +{"tag": "live-3d795", "kind": "arith", "ok": true, "answer": "-13419", "out": "4831 \u00d7 77 = 371,987\n4195 \u00d7 92 = 385,940\n371,987 \u2212 385,940 + 534 = \u221213,419\n\nAnswer: -13419"} +{"tag": "live-3d795", "kind": "arith", "ok": true, "answer": "-311919", "out": "3113 \u00d7 89 = 277,057\n9207 \u00d7 64 = 589,248\n277,057 \u2212 589,248 + 272 = \u2212311,919\n\nAnswer: -311919"} +{"tag": "live-3d795", "kind": "arith", "ok": true, "answer": "46589", "out": "2006 \u00d7 73 = 146,438\n1154 \u00d7 87 = 100,398\n146,438 \u2212 100,398 + 549 = 46,589\n\nAnswer: 46589"} +{"tag": "live-3d795", "kind": "arith", "ok": true, "answer": "-334650", "out": "8102 \u00d7 16 = 129,632\n6646 \u00d7 70 = 465,220\n129,632 \u2212 465,220 = \u2212335,588\n\u2212335,588 + 938 = \u2212334,650\n\nAnswer: -334650"} +{"tag": "live-3d795", "kind": "arith", "ok": true, "answer": "-27964", "out": "2657 \u00d7 92 = 244,444\n3365 \u00d7 81 = 272,565\n244,444 \u2212 272,565 = \u221228,121\n\u221228,121 + 157 = \u221227,964\n\nAnswer: -27964"} +{"tag": "live-3d795", "kind": "arith", "ok": true, "answer": "322893", "out": "8781 \u00d7 54 = 474,174\n5076 \u00d7 30 = 152,280\n474,174 \u2212 152,280 = 321,894\n321,894 + 999 = 322,893\n\nAnswer: 322893"} +{"tag": "live-3d795", "kind": "arith", "ok": true, "answer": "-248724", "out": "3361 \u00d7 65 = 218,465\n5572 \u00d7 84 = 468,048\n218,465 \u2212 468,048 = \u2212249,583\n\u2212249,583 + 859 = \u2212248,724\n\nAnswer: -248724"} +{"tag": "live-3d795", "kind": "arith", "ok": true, "answer": "-120749", "out": "3605 \u00d7 87 = 313,635\n7376 \u00d7 59 = 435,184\n313,635 \u2212 435,184 + 800 = \u2212121,549 + 800 = \u2212120,749\n\nAnswer: -120749"} +{"tag": "live-3d795", "kind": "arith", "ok": true, "answer": "-316318", "out": "1959 \u00d7 38 = 74,442\n6409 \u00d7 61 = 390,949\n74,442 \u2212 390,949 + 189 = \u2212316,318\n\nAnswer: -316318"} +{"tag": "live-3d795", "kind": "arith", "ok": true, "answer": "-661784", "out": "4927 \u00d7 24 = 118,248\n9758 \u00d7 80 = 780,640\n118,248 \u2212 780,640 + 608 = \u2212661,784\n\nAnswer: -661784"} +{"tag": "live-3d795", "kind": "arith", "ok": true, "answer": "39047", "out": "8173 \u00d7 17 = 138,941\n3348 \u00d7 30 = 100,440\n138,941 \u2212 100,440 = 38,501\n38,501 + 546 = 39,047\n\nAnswer: 39047"} +{"tag": "live-3d795", "kind": "arith", "ok": true, "answer": "50919", "out": "5487 \u00d7 27 = 148,149\n5124 \u00d7 19 = 97,356\n148,149 \u2212 97,356 = 50,793\n50,793 + 126 = 50,919\n\nAnswer: 50919"} +{"tag": "live-3d795", "kind": "arith", "ok": true, "answer": "298066", "out": "8382 \u00d7 51 = 427,482\n2279 \u00d7 57 = 129,903\n427,482 \u2212 129,903 = 297,579\n297,579 + 487 = 298,066\n\nAnswer: 298066"} +{"tag": "live-3d795", "kind": "arith", "ok": true, "answer": "-48179", "out": "9749 \u00d7 28 = 272,972\n9456 \u00d7 34 = 321,504\n272,972 \u2212 321,504 = \u221248,532\n\u221248,532 + 353 = \u221248,179\n\nAnswer: -48179"} +{"tag": "live-3d795", "kind": "arith", "ok": true, "answer": "-101497", "out": "2344 \u00d7 58 = 135,952\n5537 \u00d7 43 = 238,091\n135,952 \u2212 238,091 = \u2212102,139\n\u2212102,139 + 642 = \u2212101,497\n\nAnswer: -101497"} +{"tag": "live-3d795", "kind": "arith", "ok": true, "answer": "-268554", "out": "8601 \u00d7 26 = 223,626\n5734 \u00d7 86 = 493,124\n223,626 \u2212 493,124 = \u2212269,498\n\u2212269,498 + 944 = \u2212268,554\n\nAnswer: -268554"} +{"tag": "live-3d795", "kind": "arith", "ok": true, "answer": "-309509", "out": "5085 \u00d7 77 = 391,545\n8162 \u00d7 86 = 701,932\n391,545 \u2212 701,932 + 878 = \u2212309,509\n\nAnswer: -309509"} +{"tag": "live-3d795", "kind": "arith", "ok": false, "answer": "-69427", "out": "5560 \u00d7 15 = 83,400\n2642 \u00d7 58 = 153,236\n83,400 \u2212 153,236 + 409 = \u221269,827\n\nAnswer: -69827"} +{"tag": "live-3d795", "kind": "arith", "ok": true, "answer": "198975", "out": "3017 \u00d7 76 = 229,292\n2222 \u00d7 14 = 31,108\n229,292 \u2212 31,108 = 198,184\n198,184 + 791 = 198,975\n\nAnswer: 198975"} +{"tag": "live-3d795", "kind": "arith", "ok": true, "answer": "-181624", "out": "1428 \u00d7 74 = 105,672\n5648 \u00d7 51 = 288,048\n105,672 \u2212 288,048 + 752 = \u2212181,624\n\nAnswer: -181624"} +{"tag": "live-3d795", "kind": "arith", "ok": true, "answer": "3339", "out": "4523 \u00d7 25 = 113,075\n3935 \u00d7 28 = 110,180\n113,075 \u2212 110,180 = 2,895\n2,895 + 444 = 3,339\n\nAnswer: 3339"} +{"tag": "live-3d795", "kind": "arith", "ok": true, "answer": "-253162", "out": "9348 \u00d7 26 = 243,048\n9203 \u00d7 54 = 496,962\n243,048 \u2212 496,962 = \u2212253,914\n\u2212253,914 + 752 = \u2212253,162\n\nAnswer: -253162"} +{"tag": "live-3d795", "kind": "arith", "ok": true, "answer": "86525", "out": "2827 \u00d7 36 = 101,772\n1005 \u00d7 16 = 16,080\n101,772 \u2212 16,080 = 85,692\n85,692 + 833 = 86,525\n\nAnswer: 86525"} +{"tag": "live-3d795", "kind": "arith", "ok": true, "answer": "651584", "out": "7958 \u00d7 88 = 700,304\n1772 \u00d7 28 = 49,616\n700,304 \u2212 49,616 = 650,688\n650,688 + 896 = 651,584\n\nAnswer: 651584"} +{"tag": "live-3d795", "kind": "arith", "ok": true, "answer": "86371", "out": "2820 \u00d7 90 = 253,800\n4000 \u00d7 42 = 168,000\n253,800 \u2212 168,000 = 85,800\n85,800 + 571 = 86,371\n\nAnswer: 86371"} +{"tag": "live-3d795", "kind": "arith", "ok": true, "answer": "-148158", "out": "1057 \u00d7 32 = 33,824\n3036 \u00d7 60 = 182,160\n33,824 \u2212 182,160 + 178 = \u2212148,158\n\nAnswer: -148158"} +{"tag": "live-3d795", "kind": "arith", "ok": true, "answer": "40605", "out": "Step 1: 1035 \u00d7 95 = 98,325\nStep 2: 1289 \u00d7 45 = 58,005\nStep 3: 98,325 \u2212 58,005 = 40,320\nStep 4: 40,320 + 285 = 40,605\n\nAnswer: 40605"} +{"tag": "live-3d795", "kind": "arith", "ok": true, "answer": "8166", "out": "7397 \u00d7 16 = 118,352\n2525 \u00d7 44 = 111,100\n118,352 \u2212 111,100 = 7,252\n7,252 + 914 = 8,166\n\nAnswer: 8166"} +{"tag": "live-3d795", "kind": "arith", "ok": true, "answer": "278229", "out": "8135 \u00d7 60 = 488,100\n4572 \u00d7 46 = 210,312\n488,100 \u2212 210,312 = 277,788\n277,788 + 441 = 278,229\n\nAnswer: 278229"} +{"tag": "live-3d795", "kind": "arith", "ok": true, "answer": "486330", "out": "46 \u00d7 90 + 8846 \u00d7 3 = 796140 + 26538 = 822678\n8643 \u00d7 39 = 8643 \u00d7 40 \u2212 8643 = 345720 \u2212 8643 = 337077\n822678 \u2212 337077 + 729 = 485601 + 729 = 486330\n\nAnswer: 486330"} +{"tag": "live-3d795", "kind": "arith", "ok": true, "answer": "174750", "out": "4163 \u00d7 54 = 224,802\n2394 \u00d7 21 = 50,274\n224,802 \u2212 50,274 = 174,528\n174,528 + 222 = 174,750\n\nAnswer: 174750"} +{"tag": "live-3d795", "kind": "arith", "ok": true, "answer": "-129490", "out": "4552 \u00d7 74 = 336,848\n4970 \u00d7 94 = 467,180\n336,848 \u2212 467,180 = \u2212130,332\n\u2212130,332 + 842 = \u2212129,490\n\nAnswer: -129490"} +{"tag": "live-3d795", "kind": "arith", "ok": true, "answer": "191220", "out": "9271 \u00d7 50 = 463,550\n2846 \u00d7 96 = 2846 \u00d7 100 \u2212 2846 \u00d7 4 = 284,600 \u2212 11,384 = 273,216\n463,550 \u2212 273,216 = 190,334\n190,334 + 886 = 191,220\n\nAnswer: 191220"} +{"tag": "live-3d795", "kind": "arith", "ok": true, "answer": "184119", "out": "3996 \u00d7 70 = 279,720\n1022 \u00d7 94 = 96,068\n279,720 \u2212 96,068 = 183,652\n183,652 + 467 = 184,119\n\nAnswer: 184119"} +{"tag": "live-3d795", "kind": "arith", "ok": true, "answer": "174169", "out": "3788 \u00d7 79 = 3788 \u00d7 80 \u2212 3788 = 303040 \u2212 3788 = 299252\n6269 \u00d7 20 = 125380\n299252 \u2212 125380 + 297 = 174169\n\nAnswer: 174169"} +{"tag": "live-3d795", "kind": "arith", "ok": true, "answer": "464086", "out": "7169 \u00d7 86 = 616,534\n2948 \u00d7 52 = 153,296\n616,534 \u2212 153,296 = 463,238\n463,238 + 848 = 464,086\n\nAnswer: 464086"} +{"tag": "live-3d795", "kind": "arith", "ok": true, "answer": "194847", "out": "2378 \u00d7 95 = 2378 \u00d7 100 \u2212 2378 \u00d7 5 = 237800 \u2212 11890 = 225910\n2429 \u00d7 13 = 24290 + 7287 = 31577\n225910 \u2212 31577 + 514 = 194333 + 514 = 194847\n\nAnswer: 194847"} +{"tag": "live-3d795", "kind": "arith", "ok": true, "answer": "313197", "out": "6412 \u00d7 61 = 6412 \u00d7 60 + 6412 = 384720 + 6412 = 391132\n3911 \u00d7 20 = 78220\n391132 \u2212 78220 = 312912\n312912 + 285 = 313197\n\nAnswer: 313197"} +{"tag": "live-3d795", "kind": "arith", "ok": true, "answer": "110784", "out": "5245 \u00d7 60 = 314,700\n2497 \u00d7 82 = 204,754\n314,700 \u2212 204,754 = 109,946\n109,946 + 838 = 110,784\n\nAnswer: 110784"} +{"tag": "live-3d795", "kind": "arith", "ok": true, "answer": "-520720", "out": "2892 \u00d7 63 = 182,196\n7324 \u00d7 96 = 703,104\n182,196 \u2212 703,104 + 188 = \u2212520,908 + 188 = \u2212520,720\n\nAnswer: -520720"} +{"tag": "live-3d795", "kind": "arith", "ok": true, "answer": "891632", "out": "9872 \u00d7 95 = 9872 \u00d7 100 \u2212 9872 \u00d7 5 = 987200 \u2212 49360 = 937840\n2129 \u00d7 22 = 46838\n937840 \u2212 46838 + 630 = 891632\n\nAnswer: 891632"} +{"tag": "live-3d795", "kind": "arith", "ok": true, "answer": "162847", "out": "2559 \u00d7 89 = 2559 \u00d7 90 \u2212 2559 = 230310 \u2212 2559 = 227751\n4098 \u00d7 16 = 65568\n227751 \u2212 65568 = 162183\n162183 + 664 = 162847\n\nAnswer: 162847"} +{"tag": "live-3d795", "kind": "arith", "ok": true, "answer": "-217219", "out": "3943 \u00d7 58 = 228,694\n6039 \u00d7 74 = 446,886\n228,694 \u2212 446,886 + 973 = \u2212217,219\n\nAnswer: -217219"} +{"tag": "live-3d795", "kind": "arith", "ok": true, "answer": "79408", "out": "6084 \u00d7 23 = 139,932\n4687 \u00d7 13 = 60,931\n139,932 \u2212 60,931 = 79,001\n79,001 + 407 = 79,408\n\nAnswer: 79408"} +{"tag": "live-3d795", "kind": "arith", "ok": true, "answer": "-99346", "out": "1929 \u00d7 71 = 136,959\n6235 \u00d7 38 = 236,930\n136,959 \u2212 236,930 = \u221299,971\n\u221299,971 + 625 = \u221299,346\n\nAnswer: -99346"} +{"tag": "live-3d795", "kind": "arith", "ok": true, "answer": "279863", "out": "5739 \u00d7 57 = 327,123\n1031 \u00d7 46 = 47,426\n327,123 \u2212 47,426 = 279,697\n279,697 + 166 = 279,863\n\nAnswer: 279863"} +{"tag": "live-3d795", "kind": "arith", "ok": true, "answer": "79572", "out": "1994 \u00d7 54 = 107,676\n1782 \u00d7 16 = 28,512\n107,676 \u2212 28,512 = 79,164\n79,164 + 408 = 79,572\n\nAnswer: 79572"} +{"tag": "live-3d795", "kind": "arith", "ok": true, "answer": "-21094", "out": "4973 \u00d7 70 = 348,110\n4510 \u00d7 82 = 369,820\n348,110 \u2212 369,820 + 616 = \u221221,094\n\nAnswer: -21094"} +{"tag": "live-3d795", "kind": "needle", "ok": true, "answer": "24547521", "out": "24547521"} +{"tag": "live-3d795", "kind": "needle", "ok": true, "answer": "35839260", "out": "35839260"} +{"tag": "live-3d795", "kind": "needle", "ok": true, "answer": "43498609", "out": "43498609"} +{"tag": "live-3d795", "kind": "needle", "ok": true, "answer": "31899084", "out": "31899084"} +{"tag": "live-3d795", "kind": "needle", "ok": true, "answer": "90731237", "out": "90731237"} +{"tag": "live-3d795", "kind": "needle", "ok": true, "answer": "08946387", "out": "08946387"} +{"tag": "live-3d795", "kind": "needle", "ok": true, "answer": "72382111", "out": "72382111"} +{"tag": "live-3d795", "kind": "needle", "ok": true, "answer": "04056216", "out": "c055311 = 04056216\n\n04056216"} +{"tag": "live-3d795", "kind": "needle", "ok": true, "answer": "00425406", "out": "00425406"} +{"tag": "live-3d795", "kind": "needle", "ok": true, "answer": "84857389", "out": "84857389"} +{"tag": "live-3d795", "kind": "needle", "ok": true, "answer": "33842723", "out": "33842723"} +{"tag": "live-3d795", "kind": "needle", "ok": true, "answer": "67329458", "out": "67329458"} +{"tag": "live-3d795", "kind": "needle", "ok": true, "answer": "25250437", "out": "25250437"} +{"tag": "live-3d795", "kind": "needle", "ok": true, "answer": "72172530", "out": "72172530"} +{"tag": "live-3d795", "kind": "needle", "ok": true, "answer": "90093235", "out": "90093235"} +{"tag": "live-3d795", "kind": "needle", "ok": true, "answer": "43968581", "out": "43968581"} +{"tag": "live-3d795", "kind": "needle", "ok": true, "answer": "14222182", "out": "14222182"} +{"tag": "live-3d795", "kind": "needle", "ok": true, "answer": "39320321", "out": "39320321"} +{"tag": "live-3d795", "kind": "needle", "ok": true, "answer": "79903620", "out": "79903620"} +{"tag": "live-3d795", "kind": "needle", "ok": true, "answer": "04692612", "out": "04692612"} +{"tag": "live-3d795", "kind": "needle", "ok": true, "answer": "44160824", "out": "44160824"} +{"tag": "live-3d795", "kind": "needle", "ok": true, "answer": "75349505", "out": "75349505"} +{"tag": "live-3d795", "kind": "needle", "ok": true, "answer": "62984970", "out": "62984970"} +{"tag": "live-3d795", "kind": "needle", "ok": true, "answer": "49576950", "out": "49576950"} diff --git a/results/2026-10-09-rc2/raw/qbig-rc2.jsonl b/results/2026-10-09-rc2/raw/qbig-rc2.jsonl new file mode 100644 index 0000000..d99e320 --- /dev/null +++ b/results/2026-10-09-rc2/raw/qbig-rc2.jsonl @@ -0,0 +1,524 @@ +{"tag": "rc2", "kind": "arith", "ok": true, "answer": "127479", "out": "4272 \u00d7 72 = 307,584\n3278 \u00d7 55 = 180,290\n307,584 \u2212 180,290 = 127,294\n127,294 + 185 = 127,479\n\nAnswer: 127479"} +{"tag": "rc2", "kind": "arith", "ok": true, "answer": "-304216", "out": "4157 \u00d7 96 = 399,072\n9781 \u00d7 72 = 704,232\n399,072 \u2212 704,232 = \u2212305,160\n\u2212305,160 + 944 = \u2212304,216\n\nAnswer: -304216"} +{"tag": "rc2", "kind": "arith", "ok": true, "answer": "-273978", "out": "4784 \u00d7 25 = 119,600\n8564 \u00d7 46 = 393,944\n119,600 \u2212 393,944 = \u2212274,344\n\u2212274,344 + 366 = \u2212273,978\n\nAnswer: -273978"} +{"tag": "rc2", "kind": "arith", "ok": true, "answer": "-270986", "out": "6599 \u00d7 51 = 336,549\n9807 \u00d7 62 = 608,034\n336,549 \u2212 608,034 = \u2212271,485\n\u2212271,485 + 499 = \u2212270,986\n\nAnswer: -270986"} +{"tag": "rc2", "kind": "arith", "ok": true, "answer": "707562", "out": "8743 \u00d7 95 = 830,585\n1545 \u00d7 80 = 123,600\n830,585 \u2212 123,600 = 706,985\n706,985 + 577 = 707,562\n\nAnswer: 707562"} +{"tag": "rc2", "kind": "arith", "ok": true, "answer": "-280189", "out": "7620 \u00d7 38 = 289,560\n8383 \u00d7 68 = 570,044\n289,560 \u2212 570,044 + 295 = \u2212280,189\n\nAnswer: -280189"} +{"tag": "rc2", "kind": "arith", "ok": true, "answer": "-98357", "out": "9614 \u00d7 47 = 451,858\n6557 \u00d7 84 = 550,788\n451,858 \u2212 550,788 = \u221298,930\n\u221298,930 + 573 = \u221298,357\n\nAnswer: -98357"} +{"tag": "rc2", "kind": "arith", "ok": true, "answer": "80466", "out": "6920 \u00d7 56 = 387,520\n4101 \u00d7 75 = 307,575\n387,520 \u2212 307,575 = 79,945\n79,945 + 521 = 80,466\n\nAnswer: 80466"} +{"tag": "rc2", "kind": "arith", "ok": true, "answer": "-623975", "out": "2497 \u00d7 40 = 99,880\n8836 \u00d7 82 = 706,880 + 17,672 = 724,552\n99,880 \u2212 724,552 + 697 = \u2212623,975\n\nAnswer: -623975"} +{"tag": "rc2", "kind": "arith", "ok": true, "answer": "-141392", "out": "6815 \u00d7 68 = 463,420\n9767 \u00d7 62 = 605,554\n463,420 \u2212 605,554 = \u2212142,134\n\u2212142,134 + 742 = \u2212141,392\n\nAnswer: -141392"} +{"tag": "rc2", "kind": "arith", "ok": true, "answer": "92995", "out": "2536 \u00d7 66 = 167,376\n2996 \u00d7 25 = 74,900\n167,376 \u2212 74,900 = 92,476\n92,476 + 519 = 92,995\n\nAnswer: 92995"} +{"tag": "rc2", "kind": "arith", "ok": true, "answer": "-547968", "out": "1240 \u00d7 62 = 76,880\n8021 \u00d7 78 = 625,638\n76,880 \u2212 625,638 + 790 = \u2212547,968\n\nAnswer: -547968"} +{"tag": "rc2", "kind": "arith", "ok": true, "answer": "235212", "out": "9224 \u00d7 38 = 350,512\n1484 \u00d7 78 = 115,752\n350,512 \u2212 115,752 = 234,760\n234,760 + 452 = 235,212\n\nAnswer: 235212"} +{"tag": "rc2", "kind": "arith", "ok": true, "answer": "673667", "out": "9821 \u00d7 85 = 834,785\n7022 \u00d7 23 = 161,506\n834,785 \u2212 161,506 = 673,279\n673,279 + 388 = 673,667\n\nAnswer: 673667"} +{"tag": "rc2", "kind": "arith", "ok": false, "answer": "56886", "out": "3867 \u00d7 53 = 204,851\n9878 \u00d7 15 = 148,170\n204,851 \u2212 148,170 = 56,681\n56,681 + 105 = 56,786\n\nAnswer: 56786"} +{"tag": "rc2", "kind": "arith", "ok": true, "answer": "143395", "out": "7180 \u00d7 55 = 394,900\n9685 \u00d7 26 = 251,810\n394,900 \u2212 251,810 = 143,090\n143,090 + 305 = 143,395\n\nAnswer: 143395"} +{"tag": "rc2", "kind": "arith", "ok": true, "answer": "318725", "out": "5848 \u00d7 92 = 538,016\n9544 \u00d7 23 = 219,512\n538,016 \u2212 219,512 = 318,504\n318,504 + 221 = 318,725\n\nAnswer: 318725"} +{"tag": "rc2", "kind": "arith", "ok": true, "answer": "-39725", "out": "3296 \u00d7 86 = 283,456\n7527 \u00d7 43 = 323,661\n283,456 \u2212 323,661 + 480 = \u221239,725\n\nAnswer: -39725"} +{"tag": "rc2", "kind": "arith", "ok": true, "answer": "-334277", "out": "1631 \u00d7 22 = 35,882\n7266 \u00d7 51 = 370,566\n35,882 \u2212 370,566 + 407 = \u2212334,277\n\nAnswer: -334277"} +{"tag": "rc2", "kind": "arith", "ok": true, "answer": "96722", "out": "4819 \u00d7 58 = 279,502\n4362 \u00d7 42 = 183,204\n279,502 \u2212 183,204 = 96,298\n96,298 + 424 = 96,722\n\nAnswer: 96722"} +{"tag": "rc2", "kind": "arith", "ok": true, "answer": "246652", "out": "7373 \u00d7 81 = 597,213\n4681 \u00d7 75 = 351,075\n597,213 \u2212 351,075 = 246,138\n246,138 + 514 = 246,652\n\nAnswer: 246652"} +{"tag": "rc2", "kind": "arith", "ok": true, "answer": "-12168", "out": "3021 \u00d7 30 = 90,630\n1754 \u00d7 59 = 103,486\n90,630 \u2212 103,486 + 688 = \u221212,856 + 688 = \u221212,168\n\nAnswer: -12168"} +{"tag": "rc2", "kind": "arith", "ok": true, "answer": "-178131", "out": "8963 \u00d7 35 = 313,705\n6316 \u00d7 78 = 492,648\n313,705 \u2212 492,648 = \u2212178,943\n\u2212178,943 + 812 = \u2212178,131\n\nAnswer: -178131"} +{"tag": "rc2", "kind": "arith", "ok": true, "answer": "-141191", "out": "2009 \u00d7 32 = 64,288\n3495 \u00d7 59 = 206,205\n64,288 \u2212 206,205 + 726 = \u2212141,191\n\nAnswer: -141191"} +{"tag": "rc2", "kind": "arith", "ok": true, "answer": "413187", "out": "8261 \u00d7 87 = 718,707\n8274 \u00d7 37 = 306,138\n718,707 \u2212 306,138 = 412,569\n412,569 + 618 = 413,187\n\nAnswer: 413187"} +{"tag": "rc2", "kind": "arith", "ok": true, "answer": "174429", "out": "9618 \u00d7 46 = 442,428\n9575 \u00d7 28 = 268,100\n442,428 \u2212 268,100 = 174,328\n174,328 + 101 = 174,429\n\nAnswer: 174429"} +{"tag": "rc2", "kind": "arith", "ok": true, "answer": "694177", "out": "9396 \u00d7 89 = 836,244\n2801 \u00d7 51 = 142,851\n836,244 \u2212 142,851 = 693,393\n693,393 + 784 = 694,177\n\nAnswer: 694177"} +{"tag": "rc2", "kind": "arith", "ok": true, "answer": "-404207", "out": "3082 \u00d7 43 = 132,526\n8808 \u00d7 61 = 537,288\n132,526 \u2212 537,288 = \u2212404,762\n\u2212404,762 + 555 = \u2212404,207\n\nAnswer: -404207"} +{"tag": "rc2", "kind": "arith", "ok": true, "answer": "-5781", "out": "8998 \u00d7 16 = 143,968\n7516 \u00d7 20 = 150,320\n143,968 \u2212 150,320 = \u22126,352\n\u22126,352 + 571 = \u22125,781\n\nAnswer: -5781"} +{"tag": "rc2", "kind": "arith", "ok": true, "answer": "195071", "out": "8437 \u00d7 43 = 362,791\n9878 \u00d7 17 = 167,926\n362,791 \u2212 167,926 = 194,865\n194,865 + 206 = 195,071\n\nAnswer: 195071"} +{"tag": "rc2", "kind": "arith", "ok": true, "answer": "498575", "out": "Step 1: 8841 \u00d7 74 = 654,234\nStep 2: 2270 \u00d7 69 = 156,630\nStep 3: 654,234 \u2212 156,630 = 497,604\nStep 4: 497,604 + 971 = 498,575\n\nAnswer: 498575"} +{"tag": "rc2", "kind": "arith", "ok": true, "answer": "-298374", "out": "5733 \u00d7 37 = 212,121\n6557 \u00d7 78 = 511,446\n212,121 \u2212 511,446 = \u2212299,325\n\u2212299,325 + 951 = \u2212298,374\n\nAnswer: -298374"} +{"tag": "rc2", "kind": "arith", "ok": true, "answer": "-285578", "out": "3759 \u00d7 30 = 112,770\n4748 \u00d7 84 = 379,840 + 18,992 = 398,832\n112,770 \u2212 398,832 + 484 = \u2212285,578\n\nAnswer: -285578"} +{"tag": "rc2", "kind": "arith", "ok": true, "answer": "372227", "out": "9482 \u00d7 71 = 673,222\n5389 \u00d7 56 = 301,784\n673,222 \u2212 301,784 = 371,438\n371,438 + 789 = 372,227\n\nAnswer: 372227"} +{"tag": "rc2", "kind": "arith", "ok": true, "answer": "294401", "out": "9313 \u00d7 35 = 325,955\n2445 \u00d7 13 = 31,785\n325,955 \u2212 31,785 = 294,170\n294,170 + 231 = 294,401\n\nAnswer: 294401"} +{"tag": "rc2", "kind": "arith", "ok": true, "answer": "8632", "out": "9 = 7123 \u00d7 60 \u2212 7123 = 427380 \u2212 7123 = 420257\n6538 \u00d7 63 = 6538 \u00d7 60 + 6538 \u00d7 3 = 392280 + 19614 = 411894\n420257 \u2212 411894 + 269 = 8363 + 269 = 8632\n\nAnswer: 8632"} +{"tag": "rc2", "kind": "arith", "ok": true, "answer": "-175422", "out": "1542 \u00d7 70 = 107,940\n3341 \u00d7 85 = 283,985\n107,940 \u2212 283,985 = \u2212176,045\n\u2212176,045 + 623 = \u2212175,422\n\nAnswer: -175422"} +{"tag": "rc2", "kind": "arith", "ok": true, "answer": "279720", "out": "7878 \u00d7 84 = 661,752\n7498 \u00d7 51 = 382,398\n661,752 \u2212 382,398 = 279,354\n279,354 + 366 = 279,720\n\nAnswer: 279720"} +{"tag": "rc2", "kind": "arith", "ok": true, "answer": "9309", "out": "4696 \u00d7 16 = 75136\n5089 \u00d7 13 = 66157\n75136 \u2212 66157 = 8979\n8979 + 330 = 9309\n\nAnswer: 9309"} +{"tag": "rc2", "kind": "arith", "ok": true, "answer": "-667458", "out": "1092 \u00d7 23 = 25116\n8356 \u00d7 83 = 693548\n25116 \u2212 693548 + 974 = \u2212667458\n\nAnswer: -667458"} +{"tag": "rc2", "kind": "arith", "ok": true, "answer": "-18250", "out": "2381 \u00d7 44 = 104,764\n4573 \u00d7 27 = 123,471\n104,764 \u2212 123,471 = \u221218,707\n\u221218,707 + 457 = \u221218,250\n\nAnswer: -18250"} +{"tag": "rc2", "kind": "arith", "ok": true, "answer": "-255590", "out": "3537 \u00d7 48 = 169,776\n8526 \u00d7 50 = 426,300\n169,776 \u2212 426,300 = \u2212256,524\n\u2212256,524 + 934 = \u2212255,590\n\nAnswer: -255590"} +{"tag": "rc2", "kind": "arith", "ok": true, "answer": "8901", "out": "7352 \u00d7 26 = 191,152\n6531 \u00d7 28 = 182,868\n191,152 \u2212 182,868 = 8,284\n8,284 + 617 = 8,901\n\nAnswer: 8901"} +{"tag": "rc2", "kind": "arith", "ok": true, "answer": "207838", "out": "4139 \u00d7 82 = 339,398\n3384 \u00d7 39 = 131,976\n339,398 \u2212 131,976 = 207,422\n207,422 + 416 = 207,838\n\nAnswer: 207838"} +{"tag": "rc2", "kind": "arith", "ok": true, "answer": "118031", "out": "7744 \u00d7 44 = 340,736\n3096 \u00d7 72 = 222,912\n340,736 \u2212 222,912 = 117,824\n117,824 + 207 = 118,031\n\nAnswer: 118031"} +{"tag": "rc2", "kind": "arith", "ok": true, "answer": "-206328", "out": "4509 \u00d7 42 = 189,378\n4456 \u00d7 89 = 396,584\n189,378 \u2212 396,584 = \u2212207,206\n\u2212207,206 + 878 = \u2212206,328\n\nAnswer: -206328"} +{"tag": "rc2", "kind": "arith", "ok": true, "answer": "156178", "out": "2543 \u00d7 78 = 198,354\n1470 \u00d7 29 = 42,630\n198,354 \u2212 42,630 = 155,724\n155,724 + 454 = 156,178\n\nAnswer: 156178"} +{"tag": "rc2", "kind": "arith", "ok": true, "answer": "-444244", "out": "\u00d7 50 \u2212 5621 = 281050 \u2212 5621 = 275429\n8674 \u00d7 83 = 8674 \u00d7 80 + 8674 \u00d7 3 = 693920 + 26022 = 719942\n275429 \u2212 719942 + 269 = \u2212444513 + 269 = \u2212444244\n\nAnswer: -444244"} +{"tag": "rc2", "kind": "arith", "ok": true, "answer": "578326", "out": "8557 \u00d7 91 = 778,687\n2683 \u00d7 75 = 201,225\n778,687 \u2212 201,225 = 577,462\n577,462 + 864 = 578,326\n\nAnswer: 578326"} +{"tag": "rc2", "kind": "arith", "ok": true, "answer": "-72649", "out": "1988 \u00d7 64 = 127232\n3516 \u00d7 57 = 200412\n127232 \u2212 200412 + 531 = \u221272649\n\nAnswer: -72649"} +{"tag": "rc2", "kind": "arith", "ok": true, "answer": "82613", "out": "5956 \u00d7 37 = 220,372\n3074 \u00d7 45 = 138,330\n220,372 \u2212 138,330 = 82,042\n82,042 + 571 = 82,613\n\nAnswer: 82613"} +{"tag": "rc2", "kind": "arith", "ok": true, "answer": "-661426", "out": "1565 \u00d7 86 = 134,590\n8952 \u00d7 89 = 796,728\n134,590 \u2212 796,728 = \u2212662,138\n\u2212662,138 + 712 = \u2212661,426\n\nAnswer: -661426"} +{"tag": "rc2", "kind": "arith", "ok": true, "answer": "353825", "out": "4485 \u00d7 92 = 412,620\n1167 \u00d7 51 = 59,517\n412,620 \u2212 59,517 = 353,103\n353,103 + 722 = 353,825\n\nAnswer: 353825"} +{"tag": "rc2", "kind": "arith", "ok": true, "answer": "-478664", "out": "1185 \u00d7 53 = 62,805\n9682 \u00d7 56 = 542,192\n62,805 \u2212 542,192 + 723 = \u2212478,664\n\nAnswer: -478664"} +{"tag": "rc2", "kind": "arith", "ok": true, "answer": "-369818", "out": "3056 \u00d7 18 = 55008\n5592 \u00d7 76 = 424992\n55008 \u2212 424992 + 166 = \u2212369818\n\nAnswer: -369818"} +{"tag": "rc2", "kind": "arith", "ok": true, "answer": "-196206", "out": "4991 \u00d7 64 = 319,424\n9379 \u00d7 55 = 515,845\n319,424 \u2212 515,845 + 215 = \u2212196,206\n\nAnswer: -196206"} +{"tag": "rc2", "kind": "arith", "ok": true, "answer": "109349", "out": "6059 \u00d7 43 = 260,537\n9495 \u00d7 16 = 151,920\n260,537 \u2212 151,920 = 108,617\n108,617 + 732 = 109,349\n\nAnswer: 109349"} +{"tag": "rc2", "kind": "arith", "ok": true, "answer": "-508849", "out": "3531 \u00d7 29 = 102,399\n7030 \u00d7 87 = 611,610\n102,399 \u2212 611,610 + 362 = \u2212508,849\n\nAnswer: -508849"} +{"tag": "rc2", "kind": "arith", "ok": true, "answer": "-215793", "out": "8739 \u00d7 46 = 401,994\n6644 \u00d7 93 = 617,892\n401,994 \u2212 617,892 = \u2212215,898\n\u2212215,898 + 105 = \u2212215,793\n\nAnswer: -215793"} +{"tag": "rc2", "kind": "arith", "ok": true, "answer": "-149639", "out": "2739 \u00d7 81 = 221,859\n7448 \u00d7 50 = 372,400\n221,859 \u2212 372,400 + 902 = \u2212149,639\n\nAnswer: -149639"} +{"tag": "rc2", "kind": "arith", "ok": true, "answer": "-493509", "out": "1069 \u00d7 72 = 76,968\n9681 \u00d7 59 = 571,179\n76,968 \u2212 571,179 + 702 = \u2212493,509\n\nAnswer: -493509"} +{"tag": "rc2", "kind": "arith", "ok": true, "answer": "247520", "out": "9836 \u00d7 41 = 403,276\n3329 \u00d7 47 = 156,463\n403,276 \u2212 156,463 = 246,813\n246,813 + 707 = 247,520\n\nAnswer: 247520"} +{"tag": "rc2", "kind": "arith", "ok": true, "answer": "-342401", "out": "8494 \u00d7 19 = 161,386\n8137 \u00d7 62 = 504,494\n161,386 \u2212 504,494 = \u2212343,108\n\u2212343,108 + 707 = \u2212342,401\n\nAnswer: -342401"} +{"tag": "rc2", "kind": "arith", "ok": true, "answer": "140848", "out": "9208 \u00d7 64 = 589,312\n8011 \u00d7 56 = 448,616\n589,312 \u2212 448,616 = 140,696\n140,696 + 152 = 140,848\n\nAnswer: 140848"} +{"tag": "rc2", "kind": "arith", "ok": true, "answer": "-56583", "out": "9266 \u00d7 29 = 268,714\n8153 \u00d7 40 = 326,120\n268,714 \u2212 326,120 = \u221257,406\n\u221257,406 + 823 = \u221256,583\n\nAnswer: -56583"} +{"tag": "rc2", "kind": "arith", "ok": true, "answer": "102922", "out": "4941 \u00d7 49 = 4941 \u00d7 50 \u2212 4941 = 247050 \u2212 4941 = 242109\n1700 \u00d7 82 = 139400\n242109 \u2212 139400 + 213 = 102709 + 213 = 102922\n\nAnswer: 102922"} +{"tag": "rc2", "kind": "arith", "ok": true, "answer": "422652", "out": "6485 \u00d7 79 = 512,315\n6452 \u00d7 14 = 90,328\n512,315 \u2212 90,328 = 421,987\n421,987 + 665 = 422,652\n\nAnswer: 422652"} +{"tag": "rc2", "kind": "arith", "ok": true, "answer": "-841852", "out": "1084 \u00d7 19 = 20,596\n9590 \u00d7 90 = 863,100\n20,596 \u2212 863,100 + 652 = \u2212841,852\n\nAnswer: -841852"} +{"tag": "rc2", "kind": "arith", "ok": true, "answer": "-190731", "out": "2036 \u00d7 60 = 122,160\n6817 \u00d7 46 = 313,582\n122,160 \u2212 313,582 = \u2212191,422\n\u2212191,422 + 691 = \u2212190,731\n\nAnswer: -190731"} +{"tag": "rc2", "kind": "arith", "ok": true, "answer": "-442645", "out": "5649 \u00d7 20 = 112,980\n6543 \u00d7 85 = 556,155\n112,980 \u2212 556,155 + 530 = \u2212442,645\n\nAnswer: -442645"} +{"tag": "rc2", "kind": "arith", "ok": true, "answer": "-436967", "out": "2764 \u00d7 68 = 187,952\n9071 \u00d7 69 = 625,899\n187,952 \u2212 625,899 = \u2212437,947\n\u2212437,947 + 980 = \u2212436,967\n\nAnswer: -436967"} +{"tag": "rc2", "kind": "arith", "ok": true, "answer": "-9608", "out": "7977 \u00d7 22 = 175,494\n4641 \u00d7 40 = 185,640\n175,494 \u2212 185,640 = \u221210,146\n\u221210,146 + 538 = \u22129,608\n\nAnswer: -9608"} +{"tag": "rc2", "kind": "arith", "ok": true, "answer": "-276130", "out": "6549 \u00d7 19 = 124,431\n4502 \u00d7 89 = 400,678\n124,431 \u2212 400,678 + 117 = \u2212276,130\n\nAnswer: -276130"} +{"tag": "rc2", "kind": "arith", "ok": true, "answer": "-86435", "out": "2979 \u00d7 18 = 53,622\n3117 \u00d7 45 = 140,265\n53,622 \u2212 140,265 + 208 = \u221286,435\n\nAnswer: -86435"} +{"tag": "rc2", "kind": "arith", "ok": true, "answer": "-62783", "out": "7101 \u00d7 50 = 355,050\n4756 \u00d7 88 = 418,528\n355,050 \u2212 418,528 = \u221263,478\n\u221263,478 + 695 = \u221262,783\n\nAnswer: -62783"} +{"tag": "rc2", "kind": "arith", "ok": true, "answer": "-243871", "out": "8751 \u00d7 35 = 306,285\n7987 \u00d7 69 = 551,103\n306,285 \u2212 551,103 = \u2212244,818\n\u2212244,818 + 947 = \u2212243,871\n\nAnswer: -243871"} +{"tag": "rc2", "kind": "arith", "ok": true, "answer": "-3678", "out": "6262 \u00d7 83 = 519,746\n6802 \u00d7 77 = 523,754\n519,746 \u2212 523,754 = \u22124,008\n\u22124,008 + 330 = \u22123,678\n\nAnswer: -3678"} +{"tag": "rc2", "kind": "arith", "ok": true, "answer": "70039", "out": "6729 \u00d7 26 = 174,954\n4232 \u00d7 25 = 105,800\n174,954 \u2212 105,800 = 69,154\n69,154 + 885 = 70,039\n\nAnswer: 70039"} +{"tag": "rc2", "kind": "arith", "ok": true, "answer": "217969", "out": "7403 \u00d7 39 = 288,717\n1578 \u00d7 45 = 71,010\n288,717 \u2212 71,010 = 217,707\n217,707 + 262 = 217,969\n\nAnswer: 217969"} +{"tag": "rc2", "kind": "arith", "ok": true, "answer": "-535832", "out": "3101 \u00d7 21 = 65,121\n7078 \u00d7 85 = 601,630\n65,121 \u2212 601,630 + 677 = \u2212535,832\n\nAnswer: -535832"} +{"tag": "rc2", "kind": "arith", "ok": true, "answer": "-399527", "out": "2072 \u00d7 21 = 43,512\n5412 \u00d7 82 = 443,784\n43,512 \u2212 443,784 + 745 = \u2212399,527\n\nAnswer: -399527"} +{"tag": "rc2", "kind": "arith", "ok": true, "answer": "699635", "out": "9260 \u00d7 81 = 750,060\n1746 \u00d7 29 = 50,634\n750,060 \u2212 50,634 = 699,426\n699,426 + 209 = 699,635\n\nAnswer: 699635"} +{"tag": "rc2", "kind": "arith", "ok": true, "answer": "-28431", "out": "7702 \u00d7 24 = 184,848\n3395 \u00d7 63 = 213,885\n184,848 \u2212 213,885 + 606 = \u221228,431\n\nAnswer: -28431"} +{"tag": "rc2", "kind": "arith", "ok": true, "answer": "-508214", "out": "3937 \u00d7 22 = 86,614\n6761 \u00d7 88 = 594,968\n86,614 \u2212 594,968 + 140 = \u2212508,214\n\nAnswer: -508214"} +{"tag": "rc2", "kind": "arith", "ok": true, "answer": "-34371", "out": "1796 \u00d7 59 = 105,964\n1579 \u00d7 89 = 140,531\n105,964 \u2212 140,531 + 196 = \u221234,371\n\nAnswer: -34371"} +{"tag": "rc2", "kind": "arith", "ok": true, "answer": "-436419", "out": "4693 \u00d7 28 = 131,404\n7016 \u00d7 81 = 568,296\n131,404 \u2212 568,296 + 473 = \u2212436,419\n\nAnswer: -436419"} +{"tag": "rc2", "kind": "arith", "ok": true, "answer": "-258818", "out": "7592 \u00d7 68 = 516,256\n8622 \u00d7 90 = 775,980\n516,256 \u2212 775,980 + 906 = \u2212258,818\n\nAnswer: -258818"} +{"tag": "rc2", "kind": "arith", "ok": true, "answer": "-162977", "out": "2721 \u00d7 52 = 141,492\n4236 \u00d7 72 = 304,992\n141,492 \u2212 304,992 = \u2212163,500\n\u2212163,500 + 523 = \u2212162,977\n\nAnswer: -162977"} +{"tag": "rc2", "kind": "arith", "ok": true, "answer": "-17547", "out": "3533 \u00d7 37 = 130,721\n6212 \u00d7 24 = 149,088\n130,721 \u2212 149,088 + 820 = \u221218,367 + 820 = \u221217,547\n\nAnswer: -17547"} +{"tag": "rc2", "kind": "arith", "ok": true, "answer": "429633", "out": "7388 \u00d7 90 = 664,920\n3863 \u00d7 61 = 235,643\n664,920 \u2212 235,643 = 429,277\n429,277 + 356 = 429,633\n\nAnswer: 429633"} +{"tag": "rc2", "kind": "arith", "ok": true, "answer": "230233", "out": "5797 \u00d7 52 = 301,444\n1717 \u00d7 42 = 72,114\n301,444 \u2212 72,114 = 229,330\n229,330 + 903 = 230,233\n\nAnswer: 230233"} +{"tag": "rc2", "kind": "arith", "ok": true, "answer": "272208", "out": "7515 \u00d7 66 = 495,990\n3806 \u00d7 59 = 224,554\n495,990 \u2212 224,554 = 271,436\n271,436 + 772 = 272,208\n\nAnswer: 272208"} +{"tag": "rc2", "kind": "arith", "ok": true, "answer": "69180", "out": "6269 \u00d7 86 = 539,134\n5957 \u00d7 79 = 470,603\n539,134 \u2212 470,603 = 68,531\n68,531 + 649 = 69,180\n\nAnswer: 69180"} +{"tag": "rc2", "kind": "arith", "ok": true, "answer": "334363", "out": "9677 \u00d7 47 = 454,819\n4179 \u00d7 29 = 121,191\n454,819 \u2212 121,191 = 333,628\n333,628 + 735 = 334,363\n\nAnswer: 334363"} +{"tag": "rc2", "kind": "arith", "ok": true, "answer": "-208826", "out": "8737 \u00d7 38 = 332,006\n9331 \u00d7 58 = 541,198\n332,006 \u2212 541,198 = \u2212209,192\n\u2212209,192 + 366 = \u2212208,826\n\nAnswer: -208826"} +{"tag": "rc2", "kind": "arith", "ok": true, "answer": "424966", "out": "9390 \u00d7 62 = 582,180\n2876 \u00d7 55 = 158,180\n582,180 \u2212 158,180 = 424,000\n424,000 + 966 = 424,966\n\nAnswer: 424966"} +{"tag": "rc2", "kind": "arith", "ok": true, "answer": "-97123", "out": "4546 \u00d7 62 = 281,852\n8820 \u00d7 43 = 379,260\n281,852 \u2212 379,260 = \u221297,408\n\u221297,408 + 285 = \u221297,123\n\nAnswer: -97123"} +{"tag": "rc2", "kind": "arith", "ok": true, "answer": "388079", "out": "5602 \u00d7 86 = 481,772\n4503 \u00d7 21 = 94,563\n481,772 \u2212 94,563 = 387,209\n387,209 + 870 = 388,079\n\nAnswer: 388079"} +{"tag": "rc2", "kind": "arith", "ok": true, "answer": "543005", "out": "9107 \u00d7 75 = 683,025\n4390 \u00d7 32 = 140,480\n683,025 \u2212 140,480 = 542,545\n542,545 + 460 = 543,005\n\nAnswer: 543005"} +{"tag": "rc2", "kind": "arith", "ok": true, "answer": "146332", "out": "4 \u00d7 80 \u2212 9084 = 726720 \u2212 9084 = 717636\n5957 \u00d7 96 = 5957 \u00d7 100 \u2212 5957 \u00d7 4 = 595700 \u2212 23828 = 571872\n717636 \u2212 571872 + 568 = 145764 + 568 = 146332\n\nAnswer: 146332"} +{"tag": "rc2", "kind": "arith", "ok": true, "answer": "255979", "out": "7937 \u00d7 49 = 7937 \u00d7 50 \u2212 7937 = 396850 \u2212 7937 = 388913\n1374 \u00d7 97 = 1374 \u00d7 100 \u2212 1374 \u00d7 3 = 137400 \u2212 4122 = 133278\n388913 \u2212 133278 + 344 = 255979\n\nAnswer: 255979"} +{"tag": "rc2", "kind": "arith", "ok": true, "answer": "164363", "out": "8136 \u00d7 62 = 504,432\n9454 \u00d7 36 = 340,344\n504,432 \u2212 340,344 = 164,088\n164,088 + 275 = 164,363\n\nAnswer: 164363"} +{"tag": "rc2", "kind": "arith", "ok": true, "answer": "69475", "out": "7304 \u00d7 45 = 328,680\n3325 \u00d7 78 = 259,350\n328,680 \u2212 259,350 = 69,330\n69,330 + 145 = 69,475\n\nAnswer: 69475"} +{"tag": "rc2", "kind": "arith", "ok": true, "answer": "265189", "out": "9468 \u00d7 55 = 520,740\n2724 \u00d7 94 = 256,056\n520,740 \u2212 256,056 = 264,684\n264,684 + 505 = 265,189\n\nAnswer: 265189"} +{"tag": "rc2", "kind": "arith", "ok": true, "answer": "201199", "out": "8003 \u00d7 42 = 336,126\n2649 \u00d7 51 = 135,099\n336,126 \u2212 135,099 = 201,027\n201,027 + 172 = 201,199\n\nAnswer: 201199"} +{"tag": "rc2", "kind": "arith", "ok": true, "answer": "360799", "out": "7206 \u00d7 83 = 598,098\n2676 \u00d7 89 = 238,164\n598,098 \u2212 238,164 = 359,934\n359,934 + 865 = 360,799\n\nAnswer: 360799"} +{"tag": "rc2", "kind": "arith", "ok": true, "answer": "-151125", "out": "2884 \u00d7 78 = 224,952\n5799 \u00d7 65 = 376,935\n224,952 \u2212 376,935 = \u2212151,983\n\u2212151,983 + 858 = \u2212151,125\n\nAnswer: -151125"} +{"tag": "rc2", "kind": "arith", "ok": true, "answer": "472793", "out": "8288 \u00d7 75 = 621,600\n2823 \u00d7 53 = 149,619\n621,600 \u2212 149,619 = 471,981\n471,981 + 812 = 472,793\n\nAnswer: 472793"} +{"tag": "rc2", "kind": "arith", "ok": false, "answer": "-2846", "out": "1193 \u00d7 91 = 108,523\n3018 \u00d7 37 = 111,666\n108,523 \u2212 111,666 = \u22123,143\n\u22123,143 + 257 = \u22122,886\n\nAnswer: -2886"} +{"tag": "rc2", "kind": "arith", "ok": true, "answer": "760889", "out": "9595 \u00d7 83 = 796,385\n1919 \u00d7 19 = 36,461\n796,385 \u2212 36,461 = 759,924\n759,924 + 965 = 760,889\n\nAnswer: 760889"} +{"tag": "rc2", "kind": "arith", "ok": true, "answer": "19454", "out": "8296 \u00d7 21 = 174,216\n4699 \u00d7 33 = 155,067\n174,216 \u2212 155,067 = 19,149\n19,149 + 305 = 19,454\n\nAnswer: 19454"} +{"tag": "rc2", "kind": "arith", "ok": true, "answer": "102142", "out": "5351 \u00d7 57 = 267550 + 37457 = 305007\n8120 \u00d7 25 = 203000\n305007 \u2212 203000 + 135 = 102142\n\nAnswer: 102142"} +{"tag": "rc2", "kind": "arith", "ok": true, "answer": "354424", "out": "9737 \u00d7 90 = 876,330\n9682 \u00d7 54 = 522,828\n876,330 \u2212 522,828 = 353,502\n353,502 + 922 = 354,424\n\nAnswer: 354424"} +{"tag": "rc2", "kind": "arith", "ok": true, "answer": "160620", "out": "5488 \u00d7 40 = 219,520\n3152 \u00d7 19 = 59,888\n219,520 \u2212 59,888 = 159,632\n159,632 + 988 = 160,620\n\nAnswer: 160620"} +{"tag": "rc2", "kind": "arith", "ok": true, "answer": "-249458", "out": "3392 \u00d7 13 = 44,096\n5547 \u00d7 53 = 293,991\n44,096 \u2212 293,991 + 437 = \u2212249,458\n\nAnswer: -249458"} +{"tag": "rc2", "kind": "arith", "ok": true, "answer": "-138072", "out": "9911 \u00d7 20 = 198,220\n5806 \u00d7 58 = 336,748\n198,220 \u2212 336,748 + 456 = \u2212138,072\n\nAnswer: -138072"} +{"tag": "rc2", "kind": "arith", "ok": true, "answer": "19304", "out": "1514 \u00d7 38 = 57,532\n2798 \u00d7 14 = 39,172\n57,532 \u2212 39,172 = 18,360\n18,360 + 944 = 19,304\n\nAnswer: 19304"} +{"tag": "rc2", "kind": "arith", "ok": true, "answer": "-98662", "out": "2276 \u00d7 13 = 29,588\n3386 \u00d7 38 = 128,668\n29,588 \u2212 128,668 + 418 = \u221298,662\n\nAnswer: -98662"} +{"tag": "rc2", "kind": "arith", "ok": true, "answer": "-449406", "out": "1424 \u00d7 34 = 48,416\n7546 \u00d7 66 = 498,036\n48,416 \u2212 498,036 + 214 = \u2212449,406\n\nAnswer: -449406"} +{"tag": "rc2", "kind": "arith", "ok": true, "answer": "309608", "out": "9594 \u00d7 87 = 834,678\n7407 \u00d7 71 = 525,897\n834,678 \u2212 525,897 = 308,781\n308,781 + 827 = 309,608\n\nAnswer: 309608"} +{"tag": "rc2", "kind": "arith", "ok": true, "answer": "-215693", "out": "9808 \u00d7 48 = 470,784\n9957 \u00d7 69 = 687,033\n470,784 \u2212 687,033 = \u2212216,249\n\u2212216,249 + 556 = \u2212215,693\n\nAnswer: -215693"} +{"tag": "rc2", "kind": "arith", "ok": true, "answer": "126970", "out": "9613 \u00d7 89 = 9613 \u00d7 90 \u2212 9613 = 865170 \u2212 9613 = 855557\n9720 \u00d7 75 = 729000\n855557 \u2212 729000 + 413 = 126970\n\nAnswer: 126970"} +{"tag": "rc2", "kind": "arith", "ok": true, "answer": "38771", "out": "2191 \u00d7 60 = 131,460\n2745 \u00d7 34 = 93,330\n131,460 \u2212 93,330 = 38,130\n38,130 + 641 = 38,771\n\nAnswer: 38771"} +{"tag": "rc2", "kind": "arith", "ok": true, "answer": "-743614", "out": "1429 \u00d7 64 = 91,456\n9493 \u00d7 88 = 835,384\n91,456 \u2212 835,384 + 314 = \u2212743,614\n\nAnswer: -743614"} +{"tag": "rc2", "kind": "arith", "ok": true, "answer": "340236", "out": "5460 \u00d7 93 = 507,780\n2853 \u00d7 59 = 168,327\n507,780 \u2212 168,327 = 339,453\n339,453 + 783 = 340,236\n\nAnswer: 340236"} +{"tag": "rc2", "kind": "arith", "ok": true, "answer": "106833", "out": "9818 \u00d7 20 = 196,360\n2917 \u00d7 31 = 90,427\n196,360 \u2212 90,427 + 900 = 106,833\n\nAnswer: 106833"} +{"tag": "rc2", "kind": "arith", "ok": true, "answer": "46981", "out": "9296 \u00d7 25 = 232,400\n2824 \u00d7 66 = 186,384\n232,400 \u2212 186,384 = 46,016\n46,016 + 965 = 46,981\n\nAnswer: 46981"} +{"tag": "rc2", "kind": "arith", "ok": true, "answer": "700873", "out": "9331 \u00d7 89 = 9331 \u00d7 90 \u2212 9331 = 839,790 \u2212 9,331 = 830,459\n8121 \u00d7 16 = 129,936\n830,459 \u2212 129,936 + 350 = 700,873\n\nAnswer: 700873"} +{"tag": "rc2", "kind": "arith", "ok": true, "answer": "17440", "out": "2327 \u00d7 44 = 102,388\n2130 \u00d7 40 = 85,200\n102,388 \u2212 85,200 = 17,188\n17,188 + 252 = 17,440\n\nAnswer: 17440"} +{"tag": "rc2", "kind": "arith", "ok": true, "answer": "-98639", "out": "2233 \u00d7 33 = 73,689\n1836 \u00d7 94 = 172,584\n73,689 \u2212 172,584 + 256 = \u221298,639\n\nAnswer: -98639"} +{"tag": "rc2", "kind": "arith", "ok": true, "answer": "-64110", "out": "2713 \u00d7 45 = 122,085\n3063 \u00d7 61 = 186,843\n122,085 \u2212 186,843 = \u221264,758\n\u221264,758 + 648 = \u221264,110\n\nAnswer: -64110"} +{"tag": "rc2", "kind": "arith", "ok": true, "answer": "-157733", "out": "1446 \u00d7 74 = 107,004\n3157 \u00d7 84 = 265,188\n107,004 \u2212 265,188 = \u2212158,184\n\u2212158,184 + 451 = \u2212157,733\n\nAnswer: -157733"} +{"tag": "rc2", "kind": "arith", "ok": true, "answer": "-22155", "out": "6595 \u00d7 18 = 118,710\n2670 \u00d7 53 = 141,510\n118,710 \u2212 141,510 + 645 = \u221222,800 + 645 = \u221222,155\n\nAnswer: -22155"} +{"tag": "rc2", "kind": "arith", "ok": true, "answer": "77674", "out": "6322 \u00d7 47 = 6322 \u00d7 40 + 6322 \u00d7 7 = 252,880 + 44,254 = 297,134\n8791 \u00d7 25 = 219,775\n297,134 \u2212 219,775 = 77,359\n77,359 + 315 = 77,674\n\nAnswer: 77674"} +{"tag": "rc2", "kind": "arith", "ok": true, "answer": "-181863", "out": "7224 \u00d7 30 = 216,720\n9068 \u00d7 44 = 398,992\n216,720 \u2212 398,992 = \u2212182,272\n\u2212182,272 + 409 = \u2212181,863\n\nAnswer: -181863"} +{"tag": "rc2", "kind": "arith", "ok": true, "answer": "655369", "out": "8363 \u00d7 86 = 719,218\n4979 \u00d7 13 = 64,727\n719,218 \u2212 64,727 + 878 = 655,369\n\nAnswer: 655369"} +{"tag": "rc2", "kind": "arith", "ok": true, "answer": "-492938", "out": "1577 \u00d7 96 = 151,392\n7090 \u00d7 91 = 645,190\n151,392 \u2212 645,190 + 860 = \u2212492,938\n\nAnswer: -492938"} +{"tag": "rc2", "kind": "arith", "ok": true, "answer": "-102857", "out": "3598 \u00d7 14 = 50,372\n2751 \u00d7 56 = 154,056\n50,372 \u2212 154,056 = \u2212103,684\n\u2212103,684 + 827 = \u2212102,857\n\nAnswer: -102857"} +{"tag": "rc2", "kind": "arith", "ok": true, "answer": "302260", "out": "89 = 4285 \u00d7 90 \u2212 4285 = 385650 \u2212 4285 = 381365\n1621 \u00d7 49 = 1621 \u00d7 50 \u2212 1621 = 81050 \u2212 1621 = 79429\n381365 \u2212 79429 = 301936\n301936 + 324 = 302260\n\nAnswer: 302260"} +{"tag": "rc2", "kind": "arith", "ok": true, "answer": "-386616", "out": "1521 \u00d7 47 = 71,487\n9547 \u00d7 48 = 458,256\n71,487 \u2212 458,256 + 153 = \u2212386,616\n\nAnswer: -386616"} +{"tag": "rc2", "kind": "arith", "ok": true, "answer": "91849", "out": "4437 \u00d7 86 = 381,582\n3769 \u00d7 77 = 290,213\n381,582 \u2212 290,213 = 91,369\n91,369 + 480 = 91,849\n\nAnswer: 91849"} +{"tag": "rc2", "kind": "arith", "ok": true, "answer": "468740", "out": "8388 \u00d7 73 = 612,324\n2121 \u00d7 68 = 144,228\n612,324 \u2212 144,228 = 468,096\n468,096 + 644 = 468,740\n\nAnswer: 468740"} +{"tag": "rc2", "kind": "arith", "ok": true, "answer": "-30267", "out": "9530 \u00d7 50 = 476,500\n6764 \u00d7 75 = 507,300\n476,500 \u2212 507,300 = \u221230,800\n\u221230,800 + 533 = \u221230,267\n\nAnswer: -30267"} +{"tag": "rc2", "kind": "arith", "ok": true, "answer": "-581995", "out": "4968 \u00d7 24 = 119,232\n7973 \u00d7 88 = 701,624\n119,232 \u2212 701,624 + 397 = \u2212581,995\n\nAnswer: -581995"} +{"tag": "rc2", "kind": "arith", "ok": false, "answer": "189476", "out": " = 3908 \u00d7 90 \u2212 3908 = 351720 \u2212 3908 = 347812\n5124 \u00d7 31 = 5124 \u00d7 30 + 5124 = 153720 + 5124 = 158844\n347812 \u2212 158844 + 508 = 189468 + 508 = 189976\n\nAnswer: 189976"} +{"tag": "rc2", "kind": "arith", "ok": true, "answer": "-90211", "out": "1745 \u00d7 30 = 52,350\n4344 \u00d7 33 = 143,352\n52,350 \u2212 143,352 = \u221291,002\n\u221291,002 + 791 = \u221290,211\n\nAnswer: -90211"} +{"tag": "rc2", "kind": "arith", "ok": true, "answer": "-210835", "out": "1329 \u00d7 25 = 33,225\n5693 \u00d7 43 = 244,799\n33,225 \u2212 244,799 = \u2212211,574\n\u2212211,574 + 739 = \u2212210,835\n\nAnswer: -210835"} +{"tag": "rc2", "kind": "arith", "ok": true, "answer": "542193", "out": "8556 \u00d7 77 = 658,812\n2057 \u00d7 57 = 117,249\n658,812 \u2212 117,249 = 541,563\n541,563 + 630 = 542,193\n\nAnswer: 542193"} +{"tag": "rc2", "kind": "arith", "ok": true, "answer": "-133948", "out": "9213 \u00d7 51 = 469,863\n6943 \u00d7 87 = 604,041\n469,863 \u2212 604,041 = \u2212134,178\n\u2212134,178 + 230 = \u2212133,948\n\nAnswer: -133948"} +{"tag": "rc2", "kind": "arith", "ok": true, "answer": "13475", "out": "5684 \u00d7 21 = 119,364\n1538 \u00d7 69 = 106,122\n119,364 \u2212 106,122 = 13,242\n13,242 + 233 = 13,475\n\nAnswer: 13475"} +{"tag": "rc2", "kind": "arith", "ok": true, "answer": "-348585", "out": "2362 \u00d7 32 = 75,584\n9444 \u00d7 45 = 424,980\n75,584 \u2212 424,980 = \u2212349,396\n\u2212349,396 + 811 = \u2212348,585\n\nAnswer: -348585"} +{"tag": "rc2", "kind": "arith", "ok": true, "answer": "130069", "out": "4025 \u00d7 73 = 293,825\n6329 \u00d7 26 = 164,554\n293,825 \u2212 164,554 = 129,271\n129,271 + 798 = 130,069\n\nAnswer: 130069"} +{"tag": "rc2", "kind": "arith", "ok": true, "answer": "61744", "out": "6867 \u00d7 88 = 604,296\n9204 \u00d7 59 = 543,036\n604,296 \u2212 543,036 = 61,260\n61,260 + 484 = 61,744\n\nAnswer: 61744"} +{"tag": "rc2", "kind": "arith", "ok": true, "answer": "-645458", "out": "2102 \u00d7 25 = 52,550\n9440 \u00d7 74 = 698,560\n52,550 \u2212 698,560 + 552 = \u2212645,458\n\nAnswer: -645458"} +{"tag": "rc2", "kind": "arith", "ok": true, "answer": "-249431", "out": "3878 \u00d7 29 = 112,462\n7887 \u00d7 46 = 362,802\n112,462 \u2212 362,802 + 909 = \u2212249,431\n\nAnswer: -249431"} +{"tag": "rc2", "kind": "arith", "ok": true, "answer": "-166098", "out": "1888 \u00d7 62 = 117,056\n4886 \u00d7 58 = 283,388\n117,056 \u2212 283,388 = \u2212166,332\n\u2212166,332 + 234 = \u2212166,098\n\nAnswer: -166098"} +{"tag": "rc2", "kind": "arith", "ok": true, "answer": "602804", "out": "7560 \u00d7 85 = 642,600\n2366 \u00d7 17 = 40,222\n642,600 \u2212 40,222 = 602,378\n602,378 + 426 = 602,804\n\nAnswer: 602804"} +{"tag": "rc2", "kind": "arith", "ok": true, "answer": "-186087", "out": "1142 \u00d7 19 = 21698\n7438 \u00d7 28 = 208264\n21698 \u2212 208264 + 479 = 22177 \u2212 208264 = \u2212186087\n\nAnswer: -186087"} +{"tag": "rc2", "kind": "arith", "ok": true, "answer": "-378261", "out": "5550 \u00d7 16 = 88,800\n5312 \u00d7 88 = 467,456\n88,800 \u2212 467,456 + 395 = \u2212378,261\n\nAnswer: -378261"} +{"tag": "rc2", "kind": "arith", "ok": true, "answer": "266720", "out": "6352 \u00d7 90 = 571,680\n7106 \u00d7 43 = 305,558\n571,680 \u2212 305,558 = 266,122\n266,122 + 598 = 266,720\n\nAnswer: 266720"} +{"tag": "rc2", "kind": "arith", "ok": true, "answer": "118843", "out": "7058 \u00d7 94 = 663,452\n9904 \u00d7 55 = 544,720\n663,452 \u2212 544,720 = 118,732\n118,732 + 111 = 118,843\n\nAnswer: 118843"} +{"tag": "rc2", "kind": "arith", "ok": true, "answer": "529378", "out": "9 \u00d7 100 \u2212 8839 \u00d7 3 = 883900 \u2212 26517 = 857383\n3690 \u00d7 89 = 3690 \u00d7 90 \u2212 3690 = 332100 \u2212 3690 = 328410\n857383 \u2212 328410 + 405 = 528973 + 405 = 529378\n\nAnswer: 529378"} +{"tag": "rc2", "kind": "arith", "ok": true, "answer": "60634", "out": "2421 \u00d7 79 = 191,259\n2342 \u00d7 56 = 131,152\n191,259 \u2212 131,152 = 60,107\n60,107 + 527 = 60,634\n\nAnswer: 60634"} +{"tag": "rc2", "kind": "arith", "ok": true, "answer": "26228", "out": "1952 \u00d7 74 = 144,448\n9148 \u00d7 13 = 118,924\n144,448 \u2212 118,924 = 25,524\n25,524 + 704 = 26,228\n\nAnswer: 26228"} +{"tag": "rc2", "kind": "arith", "ok": true, "answer": "523248", "out": "8713 \u00d7 94 = 819,022\n3565 \u00d7 83 = 295,895\n819,022 \u2212 295,895 = 523,127\n523,127 + 121 = 523,248\n\nAnswer: 523248"} +{"tag": "rc2", "kind": "arith", "ok": true, "answer": "-189839", "out": "2615 \u00d7 92 = 240,580\n7060 \u00d7 61 = 430,660\n240,580 \u2212 430,660 = \u2212190,080\n\u2212190,080 + 241 = \u2212189,839\n\nAnswer: -189839"} +{"tag": "rc2", "kind": "arith", "ok": true, "answer": "-74851", "out": "1936 \u00d7 27 = 52,272\n2062 \u00d7 62 = 127,844\n52,272 \u2212 127,844 + 721 = \u221274,851\n\nAnswer: -74851"} +{"tag": "rc2", "kind": "arith", "ok": true, "answer": "147458", "out": "4876 \u00d7 44 = 214,544\n1052 \u00d7 64 = 67,328\n214,544 \u2212 67,328 = 147,216\n147,216 + 242 = 147,458\n\nAnswer: 147458"} +{"tag": "rc2", "kind": "arith", "ok": true, "answer": "-330683", "out": "3139 \u00d7 40 = 125,560\n9131 \u00d7 50 = 456,550\n125,560 \u2212 456,550 = \u2212330,990\n\u2212330,990 + 307 = \u2212330,683\n\nAnswer: -330683"} +{"tag": "rc2", "kind": "arith", "ok": true, "answer": "-163481", "out": "6117 \u00d7 45 = 275,265\n5225 \u00d7 84 = 438,900\n275,265 \u2212 438,900 = \u2212163,635\n\u2212163,635 + 154 = \u2212163,481\n\nAnswer: -163481"} +{"tag": "rc2", "kind": "arith", "ok": false, "answer": "-522555", "out": "2611 \u00d7 71 = 185,381\n9451 \u00d7 75 = 708,825\n185,381 \u2212 708,825 + 889 = \u2212523,555\n\nAnswer: -523555"} +{"tag": "rc2", "kind": "arith", "ok": true, "answer": "162324", "out": "9033 \u00d7 79 = 713,607\n7886 \u00d7 70 = 552,020\n713,607 \u2212 552,020 = 161,587\n161,587 + 737 = 162,324\n\nAnswer: 162324"} +{"tag": "rc2", "kind": "arith", "ok": true, "answer": "-234827", "out": "2763 \u00d7 28 = 77,364\n4526 \u00d7 69 = 312,294\n77,364 \u2212 312,294 = \u2212234,930\n\u2212234,930 + 103 = \u2212234,827\n\nAnswer: -234827"} +{"tag": "rc2", "kind": "arith", "ok": true, "answer": "-73648", "out": "2794 \u00d7 64 = 178,816\n2605 \u00d7 97 = 252,685\n178,816 \u2212 252,685 = \u221273,869\n\u221273,869 + 221 = \u221273,648\n\nAnswer: -73648"} +{"tag": "rc2", "kind": "arith", "ok": true, "answer": "129170", "out": "8871 \u00d7 27 = 239,517\n7414 \u00d7 15 = 111,210\n239,517 \u2212 111,210 = 128,307\n128,307 + 863 = 129,170\n\nAnswer: 129170"} +{"tag": "rc2", "kind": "arith", "ok": true, "answer": "-96675", "out": "4521 \u00d7 19 = 85,899\n7050 \u00d7 26 = 183,300\n85,899 \u2212 183,300 + 726 = \u221296,675\n\nAnswer: -96675"} +{"tag": "rc2", "kind": "arith", "ok": true, "answer": "-321242", "out": "1360 \u00d7 62 = 84,320\n8643 \u00d7 47 = 406,221\n84,320 \u2212 406,221 + 659 = \u2212321,242\n\nAnswer: -321242"} +{"tag": "rc2", "kind": "arith", "ok": true, "answer": "697618", "out": "9110 \u00d7 97 = 9110 \u00d7 100 \u2212 9110 \u00d7 3 = 911000 \u2212 27330 = 883670\n7455 \u00d7 25 = 186375\n883670 \u2212 186375 + 323 = 697295 + 323 = 697618\n\nAnswer: 697618"} +{"tag": "rc2", "kind": "arith", "ok": true, "answer": "8031", "out": "3839 \u00d7 97 = 3839 \u00d7 100 \u2212 3839 \u00d7 3 = 383900 \u2212 11517 = 372383\n9130 \u00d7 40 = 365200\n372383 \u2212 365200 = 7183\n7183 + 848 = 8031\n\nAnswer: 8031"} +{"tag": "rc2", "kind": "arith", "ok": true, "answer": "-271800", "out": "3148 \u00d7 29 = 91,292\n5688 \u00d7 64 = 364,032\n91,292 \u2212 364,032 + 940 = \u2212271,800\n\nAnswer: -271800"} +{"tag": "rc2", "kind": "arith", "ok": true, "answer": "163568", "out": "5058 \u00d7 96 = 485,568\n7005 \u00d7 46 = 322,230\n485,568 \u2212 322,230 = 163,338\n163,338 + 230 = 163,568\n\nAnswer: 163568"} +{"tag": "rc2", "kind": "arith", "ok": true, "answer": "55448", "out": "8651 \u00d7 85 = 735,335\n7478 \u00d7 91 = 680,498\n735,335 \u2212 680,498 = 54,837\n54,837 + 611 = 55,448\n\nAnswer: 55448"} +{"tag": "rc2", "kind": "arith", "ok": true, "answer": "246262", "out": "6401 \u00d7 66 = 422,466\n2385 \u00d7 74 = 176,490\n422,466 \u2212 176,490 = 245,976\n245,976 + 286 = 246,262\n\nAnswer: 246262"} +{"tag": "rc2", "kind": "arith", "ok": true, "answer": "-200227", "out": "3570 \u00d7 73 = 260,610\n8235 \u00d7 56 = 461,160\n260,610 \u2212 461,160 = \u2212200,550\n\u2212200,550 + 323 = \u2212200,227\n\nAnswer: -200227"} +{"tag": "rc2", "kind": "arith", "ok": true, "answer": "-390312", "out": "6882 \u00d7 40 = 275,280\n8649 \u00d7 77 = 605,430 + 60,543 = 665,973\n275,280 \u2212 665,973 = \u2212390,693\n\u2212390,693 + 381 = \u2212390,312\n\nAnswer: -390312"} +{"tag": "rc2", "kind": "arith", "ok": true, "answer": "-32986", "out": "5838 \u00d7 14 = 81,732\n8880 \u00d7 13 = 115,440\n81,732 \u2212 115,440 = \u221233,708\n\u221233,708 + 722 = \u221232,986\n\nAnswer: -32986"} +{"tag": "rc2", "kind": "arith", "ok": true, "answer": "-320293", "out": "2933 \u00d7 81 = 237,573\n5757 \u00d7 97 = 558,429\n237,573 \u2212 558,429 = \u2212320,856\n\u2212320,856 + 563 = \u2212320,293\n\nAnswer: -320293"} +{"tag": "rc2", "kind": "arith", "ok": true, "answer": "386032", "out": "7001 \u00d7 83 = 581,083\n8907 \u00d7 22 = 195,954\n581,083 \u2212 195,954 = 385,129\n385,129 + 903 = 386,032\n\nAnswer: 386032"} +{"tag": "rc2", "kind": "arith", "ok": true, "answer": "-65084", "out": "4666 \u00d7 33 = 153,978\n5358 \u00d7 41 = 219,678\n153,978 \u2212 219,678 = \u221265,700\n\u221265,700 + 616 = \u221265,084\n\nAnswer: -65084"} +{"tag": "rc2", "kind": "arith", "ok": true, "answer": "-386258", "out": "7220 \u00d7 25 = 180,500\n9775 \u00d7 58 = 566,950\n180,500 \u2212 566,950 = \u2212386,450\n\u2212386,450 + 192 = \u2212386,258\n\nAnswer: -386258"} +{"tag": "rc2", "kind": "arith", "ok": true, "answer": "129503", "out": "3489 \u00d7 77 = 268,653\n3171 \u00d7 44 = 139,524\n268,653 \u2212 139,524 = 129,129\n129,129 + 374 = 129,503\n\nAnswer: 129503"} +{"tag": "rc2", "kind": "arith", "ok": true, "answer": "51187", "out": "3194 \u00d7 51 = 162,894\n1348 \u00d7 83 = 111,884\n162,894 \u2212 111,884 = 51,010\n51,010 + 177 = 51,187\n\nAnswer: 51187"} +{"tag": "rc2", "kind": "arith", "ok": true, "answer": "134975", "out": "7416 \u00d7 57 = 422,712\n5647 \u00d7 51 = 287,997\n422,712 \u2212 287,997 = 134,715\n134,715 + 260 = 134,975\n\nAnswer: 134975"} +{"tag": "rc2", "kind": "arith", "ok": true, "answer": "25983", "out": "6592 \u00d7 23 = 151,616\n1658 \u00d7 76 = 126,008\n151,616 \u2212 126,008 = 25,608\n25,608 + 375 = 25,983\n\nAnswer: 25983"} +{"tag": "rc2", "kind": "arith", "ok": true, "answer": "-434096", "out": "5521 \u00d7 22 = 121,462\n7943 \u00d7 70 = 556,010\n121,462 \u2212 556,010 = \u2212434,548\n\u2212434,548 + 452 = \u2212434,096\n\nAnswer: -434096"} +{"tag": "rc2", "kind": "arith", "ok": true, "answer": "-66683", "out": "3870 \u00d7 39 = 150,930\n9101 \u00d7 24 = 218,424\n150,930 \u2212 218,424 = \u221267,494\n\u221267,494 + 811 = \u221266,683\n\nAnswer: -66683"} +{"tag": "rc2", "kind": "arith", "ok": true, "answer": "199878", "out": "4823 \u00d7 93 = 448,539\n6232 \u00d7 40 = 249,280\n448,539 \u2212 249,280 = 199,259\n199,259 + 619 = 199,878\n\nAnswer: 199878"} +{"tag": "rc2", "kind": "arith", "ok": true, "answer": "419543", "out": "8101 \u00d7 80 = 648,080\n9563 \u00d7 24 = 229,512\n648,080 \u2212 229,512 = 418,568\n418,568 + 975 = 419,543\n\nAnswer: 419543"} +{"tag": "rc2", "kind": "arith", "ok": true, "answer": "211136", "out": "7280 \u00d7 46 = 334,880\n1946 \u00d7 64 = 124,544\n334,880 \u2212 124,544 = 210,336\n210,336 + 800 = 211,136\n\nAnswer: 211136"} +{"tag": "rc2", "kind": "arith", "ok": true, "answer": "-12536", "out": "2292 \u00d7 34 = 77,928\n3780 \u00d7 24 = 90,720\n77,928 \u2212 90,720 + 256 = \u221212,792 + 256 = \u221212,536\n\nAnswer: -12536"} +{"tag": "rc2", "kind": "arith", "ok": true, "answer": "-223112", "out": "1611 \u00d7 54 = 86,994\n6345 \u00d7 49 = 310,905\n86,994 \u2212 310,905 + 799 = \u2212223,112\n\nAnswer: -223112"} +{"tag": "rc2", "kind": "arith", "ok": true, "answer": "531054", "out": "9826 \u00d7 97 = 953,122\n7161 \u00d7 59 = 422,499\n953,122 \u2212 422,499 = 530,623\n530,623 + 431 = 531,054\n\nAnswer: 531054"} +{"tag": "rc2", "kind": "arith", "ok": true, "answer": "116040", "out": "6472 \u00d7 72 = 465,984\n7004 \u00d7 50 = 350,200\n465,984 \u2212 350,200 = 115,784\n115,784 + 256 = 116,040\n\nAnswer: 116040"} +{"tag": "rc2", "kind": "arith", "ok": true, "answer": "-252220", "out": "9399 \u00d7 27 = 253,773\n5823 \u00d7 87 = 506,601\n253,773 \u2212 506,601 = \u2212252,828\n\u2212252,828 + 608 = \u2212252,220\n\nAnswer: -252220"} +{"tag": "rc2", "kind": "arith", "ok": true, "answer": "-213343", "out": "1746 \u00d7 43 = 75,078\n4982 \u00d7 58 = 288,956\n75,078 \u2212 288,956 = \u2212213,878\n\u2212213,878 + 535 = \u2212213,343\n\nAnswer: -213343"} +{"tag": "rc2", "kind": "arith", "ok": true, "answer": "-245844", "out": "2175 \u00d7 59 = 128,325\n3983 \u00d7 94 = 374,402\n128,325 \u2212 374,402 + 233 = \u2212245,844\n\nAnswer: -245844"} +{"tag": "rc2", "kind": "arith", "ok": true, "answer": "-203808", "out": "8431 \u00d7 34 = 286,654\n8465 \u00d7 58 = 490,970\n286,654 \u2212 490,970 = \u2212204,316\n\u2212204,316 + 508 = \u2212203,808\n\nAnswer: -203808"} +{"tag": "rc2", "kind": "arith", "ok": true, "answer": "-365490", "out": "3490 \u00d7 63 = 219,870\n8883 \u00d7 66 = 586,278\n219,870 \u2212 586,278 + 918 = \u2212365,490\n\nAnswer: -365490"} +{"tag": "rc2", "kind": "arith", "ok": true, "answer": "63551", "out": "6892 \u00d7 28 = 192,976\n2763 \u00d7 47 = 129,861\n192,976 \u2212 129,861 = 63,115\n63,115 + 436 = 63,551\n\nAnswer: 63551"} +{"tag": "rc2", "kind": "arith", "ok": true, "answer": "14320", "out": "4441 \u00d7 94 = 417,454\n5045 \u00d7 80 = 403,600\n417,454 \u2212 403,600 = 13,854\n13,854 + 466 = 14,320\n\nAnswer: 14320"} +{"tag": "rc2", "kind": "arith", "ok": true, "answer": "241245", "out": "6696 \u00d7 71 = 475,416\n3358 \u00d7 70 = 235,060\n475,416 \u2212 235,060 = 240,356\n240,356 + 889 = 241,245\n\nAnswer: 241245"} +{"tag": "rc2", "kind": "arith", "ok": true, "answer": "-560058", "out": "4971 \u00d7 23 = 114,333\n9368 \u00d7 72 = 674,496\n114,333 \u2212 674,496 + 105 = \u2212560,058\n\nAnswer: -560058"} +{"tag": "rc2", "kind": "arith", "ok": true, "answer": "-65554", "out": "5374 \u00d7 75 = 403,050\n6802 \u00d7 69 = 469,338\n403,050 \u2212 469,338 = \u221266,288\n\u221266,288 + 734 = \u221265,554\n\nAnswer: -65554"} +{"tag": "rc2", "kind": "arith", "ok": true, "answer": "-418069", "out": "6346 \u00d7 30 = 190,380\n9522 \u00d7 64 = 609,408\n190,380 \u2212 609,408 = \u2212419,028\n\u2212419,028 + 959 = \u2212418,069\n\nAnswer: -418069"} +{"tag": "rc2", "kind": "arith", "ok": true, "answer": "282189", "out": "3659 \u00d7 83 = 3659 \u00d7 80 + 3659 \u00d7 3 = 292,720 + 10,977 = 303,697\n1357 \u00d7 16 = 21,712\n303,697 \u2212 21,712 = 281,985\n281,985 + 204 = 282,189\n\nAnswer: 282189"} +{"tag": "rc2", "kind": "arith", "ok": true, "answer": "-198499", "out": "8718 \u00d7 53 = 462,054\n9317 \u00d7 71 = 661,507\n462,054 \u2212 661,507 = \u2212199,453\n\u2212199,453 + 954 = \u2212198,499\n\nAnswer: -198499"} +{"tag": "rc2", "kind": "arith", "ok": true, "answer": "-114903", "out": "1317 \u00d7 90 = 118,530\n6510 \u00d7 36 = 234,360\n118,530 \u2212 234,360 = \u2212115,830\n\u2212115,830 + 927 = \u2212114,903\n\nAnswer: -114903"} +{"tag": "rc2", "kind": "arith", "ok": true, "answer": "-136060", "out": "4317 \u00d7 40 = 172,680\n3725 \u00d7 83 = 3725 \u00d7 80 + 3725 \u00d7 3 = 298,000 + 11,175 = 309,175\n172,680 \u2212 309,175 + 435 = \u2212136,495 + 435 = \u2212136,060\n\nAnswer: -136060"} +{"tag": "rc2", "kind": "arith", "ok": true, "answer": "181134", "out": "5418 \u00d7 42 = 227,556\n1605 \u00d7 29 = 46,545\n227,556 \u2212 46,545 = 181,011\n181,011 + 123 = 181,134\n\nAnswer: 181134"} +{"tag": "rc2", "kind": "arith", "ok": true, "answer": "-167329", "out": "2631 \u00d7 36 = 94,716\n3857 \u00d7 68 = 262,276\n94,716 \u2212 262,276 + 231 = \u2212167,329\n\nAnswer: -167329"} +{"tag": "rc2", "kind": "arith", "ok": true, "answer": "-133549", "out": "5790 \u00d7 50 = 289,500\n8639 \u00d7 49 = 8639 \u00d7 50 \u2212 8639 = 431,950 \u2212 8,639 = 423,311\n289,500 \u2212 423,311 + 262 = \u2212133,549\n\nAnswer: -133549"} +{"tag": "rc2", "kind": "arith", "ok": true, "answer": "298191", "out": "6991 \u00d7 49 = 6991 \u00d7 50 \u2212 6991 = 349,550 \u2212 6,991 = 342,559\n3006 \u00d7 15 = 45,090\n342,559 \u2212 45,090 + 722 = 297,469 + 722 = 298,191\n\nAnswer: 298191"} +{"tag": "rc2", "kind": "arith", "ok": true, "answer": "263933", "out": "6125 \u00d7 69 = 422,625\n2381 \u00d7 67 = 159,527\n422,625 \u2212 159,527 = 263,098\n263,098 + 835 = 263,933\n\nAnswer: 263933"} +{"tag": "rc2", "kind": "arith", "ok": true, "answer": "421218", "out": "6667 \u00d7 76 = 506,692\n1208 \u00d7 71 = 85,768\n506,692 \u2212 85,768 = 420,924\n420,924 + 294 = 421,218\n\nAnswer: 421218"} +{"tag": "rc2", "kind": "arith", "ok": true, "answer": "-286259", "out": "1469 \u00d7 60 = 88,140\n9156 \u00d7 41 = 375,396\n88,140 \u2212 375,396 + 997 = \u2212286,259\n\nAnswer: -286259"} +{"tag": "rc2", "kind": "arith", "ok": true, "answer": "205549", "out": "8453 \u00d7 68 = 574,804\n8796 \u00d7 42 = 369,432\n574,804 \u2212 369,432 = 205,372\n205,372 + 177 = 205,549\n\nAnswer: 205549"} +{"tag": "rc2", "kind": "arith", "ok": true, "answer": "213419", "out": "5146 \u00d7 74 = 380,804\n1995 \u00d7 84 = 167,580\n380,804 \u2212 167,580 = 213,224\n213,224 + 195 = 213,419\n\nAnswer: 213419"} +{"tag": "rc2", "kind": "arith", "ok": true, "answer": "126694", "out": "5595 \u00d7 74 = 414,030\n3028 \u00d7 95 = 287,660\n414,030 \u2212 287,660 = 126,370\n126,370 + 324 = 126,694\n\nAnswer: 126694"} +{"tag": "rc2", "kind": "arith", "ok": true, "answer": "-575727", "out": "4220 \u00d7 41 = 173,020\n8710 \u00d7 86 = 749,060\n173,020 \u2212 749,060 = \u2212576,040\n\u2212576,040 + 313 = \u2212575,727\n\nAnswer: -575727"} +{"tag": "rc2", "kind": "arith", "ok": true, "answer": "-607843", "out": "9602 \u00d7 28 = 268,856\n9861 \u00d7 89 = 877,629\n268,856 \u2212 877,629 + 930 = \u2212607,843\n\nAnswer: -607843"} +{"tag": "rc2", "kind": "arith", "ok": true, "answer": "-78971", "out": "9764 \u00d7 13 = 126,932\n4922 \u00d7 42 = 206,724\n126,932 \u2212 206,724 = \u221279,792\n\u221279,792 + 821 = \u221278,971\n\nAnswer: -78971"} +{"tag": "rc2", "kind": "arith", "ok": true, "answer": "-81441", "out": "7714 \u00d7 25 = 192,850\n3669 \u00d7 75 = 275,175\n192,850 \u2212 275,175 = \u221282,325\n\u221282,325 + 884 = \u221281,441\n\nAnswer: -81441"} +{"tag": "rc2", "kind": "arith", "ok": true, "answer": "-41191", "out": "9751 \u00d7 27 = 263,277\n3808 \u00d7 80 = 304,640\n263,277 \u2212 304,640 + 172 = \u221241,191\n\nAnswer: -41191"} +{"tag": "rc2", "kind": "arith", "ok": true, "answer": "-545573", "out": "8628 \u00d7 16 = 138,048\n7957 \u00d7 86 = 684,302\n138,048 \u2212 684,302 + 681 = \u2212545,573\n\nAnswer: -545573"} +{"tag": "rc2", "kind": "arith", "ok": true, "answer": "-111221", "out": "6074 \u00d7 14 = 85036\n3516 \u00d7 56 = 196896\n85036 \u2212 196896 + 639 = \u2212111221\n\nAnswer: -111221"} +{"tag": "rc2", "kind": "arith", "ok": true, "answer": "278514", "out": "8852 \u00d7 73 = 646,196\n9679 \u00d7 38 = 367,802\n646,196 \u2212 367,802 + 120 = 278,514\n\nAnswer: 278514"} +{"tag": "rc2", "kind": "arith", "ok": true, "answer": "350267", "out": "8811 \u00d7 62 = 546,282\n5616 \u00d7 35 = 196,560\n546,282 \u2212 196,560 = 349,722\n349,722 + 545 = 350,267\n\nAnswer: 350267"} +{"tag": "rc2", "kind": "arith", "ok": true, "answer": "-150805", "out": "3994 \u00d7 73 = 291,562\n8051 \u00d7 55 = 442,805\n291,562 \u2212 442,805 = \u2212151,243\n\u2212151,243 + 438 = \u2212150,805\n\nAnswer: -150805"} +{"tag": "rc2", "kind": "arith", "ok": true, "answer": "798424", "out": "9171 \u00d7 93 = 852,903\n1045 \u00d7 53 = 55,385\n852,903 \u2212 55,385 = 797,518\n797,518 + 906 = 798,424\n\nAnswer: 798424"} +{"tag": "rc2", "kind": "arith", "ok": true, "answer": "-231965", "out": "1689 \u00d7 85 = 143,565\n6711 \u00d7 56 = 375,816\n143,565 \u2212 375,816 = \u2212232,251\n\u2212232,251 + 286 = \u2212231,965\n\nAnswer: -231965"} +{"tag": "rc2", "kind": "arith", "ok": true, "answer": "-23106", "out": "2497 \u00d7 92 = 229,724\n3164 \u00d7 80 = 253,120\n229,724 \u2212 253,120 = \u221223,396\n\u221223,396 + 290 = \u221223,106\n\nAnswer: -23106"} +{"tag": "rc2", "kind": "arith", "ok": true, "answer": "89614", "out": "7943 \u00d7 43 = 341,549\n3832 \u00d7 66 = 252,912\n341,549 \u2212 252,912 = 88,637\n88,637 + 977 = 89,614\n\nAnswer: 89614"} +{"tag": "rc2", "kind": "arith", "ok": true, "answer": "102850", "out": "6769 \u00d7 60 = 406,140\n7407 \u00d7 41 = 303,687\n406,140 \u2212 303,687 = 102,453\n102,453 + 397 = 102,850\n\nAnswer: 102850"} +{"tag": "rc2", "kind": "arith", "ok": true, "answer": "-79615", "out": "7510 \u00d7 68 = 510,680\n8824 \u00d7 67 = 591,208\n510,680 \u2212 591,208 = \u221280,528\n\u221280,528 + 913 = \u221279,615\n\nAnswer: -79615"} +{"tag": "rc2", "kind": "arith", "ok": true, "answer": "312660", "out": "6177 \u00d7 58 = 358,266\n2862 \u00d7 16 = 45,792\n358,266 \u2212 45,792 + 186 = 312,660\n\nAnswer: 312660"} +{"tag": "rc2", "kind": "arith", "ok": true, "answer": "195510", "out": "9519 \u00d7 36 = 342,684\n3274 \u00d7 45 = 147,330\n342,684 \u2212 147,330 = 195,354\n195,354 + 156 = 195,510\n\nAnswer: 195510"} +{"tag": "rc2", "kind": "arith", "ok": true, "answer": "-103198", "out": "1219 \u00d7 69 = 84,111\n9865 \u00d7 19 = 187,435\n84,111 \u2212 187,435 + 126 = \u2212103,198\n\nAnswer: -103198"} +{"tag": "rc2", "kind": "arith", "ok": true, "answer": "-314255", "out": "3241 \u00d7 41 = 132,881\n7993 \u00d7 56 = 447,608\n132,881 \u2212 447,608 + 472 = \u2212314,255\n\nAnswer: -314255"} +{"tag": "rc2", "kind": "arith", "ok": true, "answer": "-426516", "out": "2557 \u00d7 87 = 222,459\n8774 \u00d7 74 = 649,276\n222,459 \u2212 649,276 + 301 = \u2212426,516\n\nAnswer: -426516"} +{"tag": "rc2", "kind": "arith", "ok": true, "answer": "-309687", "out": "6381 \u00d7 66 = 421,146\n7949 \u00d7 92 = 731,308\n421,146 \u2212 731,308 = \u2212310,162\n\u2212310,162 + 475 = \u2212309,687\n\nAnswer: -309687"} +{"tag": "rc2", "kind": "arith", "ok": true, "answer": "26842", "out": "6477 \u00d7 22 = 142,494\n1261 \u00d7 92 = 116,012\n142,494 \u2212 116,012 = 26,482\n26,482 + 360 = 26,842\n\nAnswer: 26842"} +{"tag": "rc2", "kind": "arith", "ok": true, "answer": "612111", "out": "258 \u00d7 100 \u2212 7258 \u00d7 3 = 725800 \u2212 21774 = 704026\n3188 \u00d7 29 = 3188 \u00d7 30 \u2212 3188 = 95640 \u2212 3188 = 92452\n704026 \u2212 92452 = 611574\n611574 + 537 = 612111\n\nAnswer: 612111"} +{"tag": "rc2", "kind": "arith", "ok": true, "answer": "178604", "out": "5633 \u00d7 62 = 349,246\n4081 \u00d7 42 = 171,402\n349,246 \u2212 171,402 = 177,844\n177,844 + 760 = 178,604\n\nAnswer: 178604"} +{"tag": "rc2", "kind": "arith", "ok": true, "answer": "330240", "out": "5660 \u00d7 89 = 503,740\n3352 \u00d7 52 = 174,304\n503,740 \u2212 174,304 = 329,436\n329,436 + 804 = 330,240\n\nAnswer: 330240"} +{"tag": "rc2", "kind": "arith", "ok": true, "answer": "-319260", "out": "5485 \u00d7 20 = 109,700\n8593 \u00d7 50 = 429,650\n109,700 \u2212 429,650 = \u2212319,950\n\u2212319,950 + 690 = \u2212319,260\n\nAnswer: -319260"} +{"tag": "rc2", "kind": "arith", "ok": true, "answer": "57587", "out": "2768 \u00d7 75 = 207600\n2949 \u00d7 51 = 150399\n207600 \u2212 150399 = 57201\n57201 + 386 = 57587\n\nAnswer: 57587"} +{"tag": "rc2", "kind": "arith", "ok": true, "answer": "-147837", "out": "4358 \u00d7 28 = 122,024\n3561 \u00d7 76 = 270,636\n122,024 \u2212 270,636 = \u2212148,612\n\u2212148,612 + 775 = \u2212147,837\n\nAnswer: -147837"} +{"tag": "rc2", "kind": "arith", "ok": true, "answer": "-510433", "out": "5267 \u00d7 13 = 68471\n8651 \u00d7 67 = 579617\n68471 \u2212 579617 + 713 = \u2212510433\n\nAnswer: -510433"} +{"tag": "rc2", "kind": "arith", "ok": true, "answer": "-209213", "out": "5863 \u00d7 25 = 146,575\n3749 \u00d7 95 = 3749 \u00d7 100 \u2212 3749 \u00d7 5 = 374,900 \u2212 18,745 = 356,155\n146,575 \u2212 356,155 = \u2212209,580\n\u2212209,580 + 367 = \u2212209,213\n\nAnswer: -209213"} +{"tag": "rc2", "kind": "arith", "ok": true, "answer": "-110911", "out": "2842 \u00d7 22 = 62,524\n6446 \u00d7 27 = 174,042\n62,524 \u2212 174,042 = \u2212111,518\n\u2212111,518 + 607 = \u2212110,911\n\nAnswer: -110911"} +{"tag": "rc2", "kind": "arith", "ok": true, "answer": "-316331", "out": "6260 \u00d7 53 = 331,780\n9136 \u00d7 71 = 648,656\n331,780 \u2212 648,656 = \u2212316,876\n\u2212316,876 + 545 = \u2212316,331\n\nAnswer: -316331"} +{"tag": "rc2", "kind": "arith", "ok": true, "answer": "-546283", "out": "5344 \u00d7 16 = 85,504\n9731 \u00d7 65 = 632,515\n85,504 \u2212 632,515 + 728 = \u2212546,283\n\nAnswer: -546283"} +{"tag": "rc2", "kind": "arith", "ok": true, "answer": "272304", "out": "5586 \u00d7 75 = 418,950\n2726 \u00d7 54 = 147,204\n418,950 \u2212 147,204 = 271,746\n271,746 + 558 = 272,304\n\nAnswer: 272304"} +{"tag": "rc2", "kind": "arith", "ok": true, "answer": "-335177", "out": "1836 \u00d7 20 = 36,720\n5247 \u00d7 71 = 372,537\n36,720 \u2212 372,537 + 640 = \u2212335,177\n\nAnswer: -335177"} +{"tag": "rc2", "kind": "arith", "ok": true, "answer": "-189667", "out": "4036 \u00d7 23 = 92,828\n5439 \u00d7 52 = 282,828\n92,828 \u2212 282,828 + 333 = \u2212190,000 + 333 = \u2212189,667\n\nAnswer: -189667"} +{"tag": "rc2", "kind": "arith", "ok": true, "answer": "60979", "out": "1241 \u00d7 74 = 91,834\n1668 \u00d7 19 = 31,692\n91,834 \u2212 31,692 = 60,142\n60,142 + 837 = 60,979\n\nAnswer: 60979"} +{"tag": "rc2", "kind": "arith", "ok": true, "answer": "211693", "out": "7514 \u00d7 90 = 676,260\n7631 \u00d7 61 = 465,491\n676,260 \u2212 465,491 = 210,769\n210,769 + 924 = 211,693\n\nAnswer: 211693"} +{"tag": "rc2", "kind": "arith", "ok": true, "answer": "460998", "out": "Factor out 69: (7871 \u2212 1197) \u00d7 69 + 492 = 6674 \u00d7 69 + 492\n\n6674 \u00d7 69 = 460,506\n\n460,506 + 492 = 460,998\n\nAnswer: 460998"} +{"tag": "rc2", "kind": "arith", "ok": true, "answer": "-270301", "out": "3369 \u00d7 58 = 195,402\n4960 \u00d7 94 = 466,240\n195,402 \u2212 466,240 = \u2212270,838\n\u2212270,838 + 537 = \u2212270,301\n\nAnswer: -270301"} +{"tag": "rc2", "kind": "arith", "ok": true, "answer": "195120", "out": "7936 \u00d7 36 = 285,696\n5368 \u00d7 17 = 91,256\n285,696 \u2212 91,256 = 194,440\n194,440 + 680 = 195,120\n\nAnswer: 195120"} +{"tag": "rc2", "kind": "arith", "ok": true, "answer": "-706361", "out": "2494 \u00d7 25 = 62,350\n9864 \u00d7 78 = 769,392\n62,350 \u2212 769,392 + 681 = \u2212706,361\n\nAnswer: -706361"} +{"tag": "rc2", "kind": "arith", "ok": true, "answer": "151029", "out": "5313 \u00d7 71 = 377,223\n4631 \u00d7 49 = 226,919\n377,223 \u2212 226,919 = 150,304\n150,304 + 725 = 151,029\n\nAnswer: 151029"} +{"tag": "rc2", "kind": "arith", "ok": true, "answer": "-692775", "out": "Step 1: 1917 \u00d7 40 = 76,680\nStep 2: 8109 \u00d7 95 = 770,355\nStep 3: 76,680 \u2212 770,355 + 900 = \u2212692,775\n\nAnswer: -692775"} +{"tag": "rc2", "kind": "arith", "ok": true, "answer": "-123535", "out": "3294 \u00d7 69 = 227,286\n8174 \u00d7 43 = 351,482\n227,286 \u2212 351,482 = \u2212124,196\n\u2212124,196 + 661 = \u2212123,535\n\nAnswer: -123535"} +{"tag": "rc2", "kind": "arith", "ok": true, "answer": "-132483", "out": "8182 \u00d7 79 = 646,378\n9987 \u00d7 78 = 778,986\n646,378 \u2212 778,986 + 125 = \u2212132,483\n\nAnswer: -132483"} +{"tag": "rc2", "kind": "arith", "ok": true, "answer": "-31284", "out": "7271 \u00d7 36 = 261,756\n6670 \u00d7 44 = 293,480\n261,756 \u2212 293,480 = \u221231,724\n\u221231,724 + 440 = \u221231,284\n\nAnswer: -31284"} +{"tag": "rc2", "kind": "arith", "ok": true, "answer": "-181962", "out": "8215 \u00d7 18 = 147,870\n4286 \u00d7 77 = 4286 \u00d7 70 + 4286 \u00d7 7 = 300,020 + 30,002 = 330,022\n147,870 \u2212 330,022 + 190 = \u2212181,962\n\nAnswer: -181962"} +{"tag": "rc2", "kind": "arith", "ok": true, "answer": "-35", "out": "2524 \u00d7 34 = 85816\n5067 \u00d7 17 = 86139\n85816 \u2212 86139 + 288 = \u2212323 + 288 = \u221235\n\nAnswer: -35"} +{"tag": "rc2", "kind": "arith", "ok": true, "answer": "-78021", "out": "7280 \u00d7 71 = 516,880\n8627 \u00d7 69 = 595,263\n516,880 \u2212 595,263 = \u221278,383\n\u221278,383 + 362 = \u221278,021\n\nAnswer: -78021"} +{"tag": "rc2", "kind": "arith", "ok": true, "answer": "210104", "out": "00 \u2212 4356 \u00d7 3 = 435600 \u2212 13068 = 422532\n3943 \u00d7 54 = 3943 \u00d7 50 + 3943 \u00d7 4 = 197150 + 15772 = 212922\n422532 \u2212 212922 + 494 = 209610 + 494 = 210104\n\nAnswer: 210104"} +{"tag": "rc2", "kind": "arith", "ok": true, "answer": "27772", "out": "3616 \u00d7 53 = 191,648\n2196 \u00d7 75 = 164,700\n191,648 \u2212 164,700 = 26,948\n26,948 + 824 = 27,772\n\nAnswer: 27772"} +{"tag": "rc2", "kind": "arith", "ok": true, "answer": "124369", "out": "4706 \u00d7 38 = 178,828\n1383 \u00d7 40 = 55,320\n178,828 \u2212 55,320 = 123,508\n123,508 + 861 = 124,369\n\nAnswer: 124369"} +{"tag": "rc2", "kind": "arith", "ok": true, "answer": "165437", "out": "7717 \u00d7 26 = 200,642\n1964 \u00d7 18 = 35,352\n200,642 \u2212 35,352 = 165,290\n165,290 + 147 = 165,437\n\nAnswer: 165437"} +{"tag": "rc2", "kind": "arith", "ok": true, "answer": "147526", "out": "4470 \u00d7 62 = 277,140\n6214 \u00d7 21 = 130,494\n277,140 \u2212 130,494 = 146,646\n146,646 + 880 = 147,526\n\nAnswer: 147526"} +{"tag": "rc2", "kind": "arith", "ok": true, "answer": "-471586", "out": "2799 \u00d7 61 = 170,739\n6835 \u00d7 94 = 642,490\n170,739 \u2212 642,490 + 165 = \u2212471,586\n\nAnswer: -471586"} +{"tag": "rc2", "kind": "arith", "ok": true, "answer": "-113804", "out": "2750 \u00d7 38 = 104,500\n6262 \u00d7 35 = 219,170\n104,500 \u2212 219,170 + 866 = \u2212113,804\n\nAnswer: -113804"} +{"tag": "rc2", "kind": "arith", "ok": true, "answer": "9672", "out": "1588 \u00d7 94 = 149,272\n1630 \u00d7 86 = 140,180\n149,272 \u2212 140,180 = 9,092\n9,092 + 580 = 9,672\n\nAnswer: 9672"} +{"tag": "rc2", "kind": "arith", "ok": true, "answer": "60119", "out": "7822 \u00d7 30 = 234,660\n2015 \u00d7 87 = 175,305\n234,660 \u2212 175,305 = 59,355\n59,355 + 764 = 60,119\n\nAnswer: 60119"} +{"tag": "rc2", "kind": "arith", "ok": true, "answer": "-383971", "out": "1847 \u00d7 62 = 114,514\n5485 \u00d7 91 = 499,135\n114,514 \u2212 499,135 + 650 = \u2212383,971\n\nAnswer: -383971"} +{"tag": "rc2", "kind": "arith", "ok": true, "answer": "448308", "out": "5562 \u00d7 92 = 511,704\n1782 \u00d7 36 = 64,152\n511,704 \u2212 64,152 = 447,552\n447,552 + 756 = 448,308\n\nAnswer: 448308"} +{"tag": "rc2", "kind": "arith", "ok": true, "answer": "603710", "out": "7549 \u00d7 88 = 664,312\n4384 \u00d7 14 = 61,376\n664,312 \u2212 61,376 = 602,936\n602,936 + 774 = 603,710\n\nAnswer: 603710"} +{"tag": "rc2", "kind": "arith", "ok": true, "answer": "282303", "out": "5399 \u00d7 60 = 323,940\n1214 \u00d7 35 = 42,490\n323,940 \u2212 42,490 = 281,450\n281,450 + 853 = 282,303\n\nAnswer: 282303"} +{"tag": "rc2", "kind": "arith", "ok": true, "answer": "338809", "out": "9993 \u00d7 38 = 379,734\n1332 \u00d7 31 = 41,292\n379,734 \u2212 41,292 = 338,442\n338,442 + 367 = 338,809\n\nAnswer: 338809"} +{"tag": "rc2", "kind": "arith", "ok": true, "answer": "37753", "out": "2330 \u00d7 70 = 163,100\n3321 \u00d7 38 = 126,198\n163,100 \u2212 126,198 = 36,902\n36,902 + 851 = 37,753\n\nAnswer: 37753"} +{"tag": "rc2", "kind": "arith", "ok": false, "answer": "-482711", "out": "1096 \u00d7 52 = 56,992\n7719 \u00d7 70 = 540,330\n56,992 \u2212 540,330 + 627 = \u2212483,711\n\nAnswer: -483711"} +{"tag": "rc2", "kind": "arith", "ok": true, "answer": "119683", "out": "9403 \u00d7 35 = 329,105\n3564 \u00d7 59 = 210,276\n329,105 \u2212 210,276 = 118,829\n118,829 + 854 = 119,683\n\nAnswer: 119683"} +{"tag": "rc2", "kind": "arith", "ok": true, "answer": "-104908", "out": "2197 \u00d7 17 = 37,349\n2162 \u00d7 66 = 142,692\n37,349 \u2212 142,692 = \u2212105,343\n\u2212105,343 + 435 = \u2212104,908\n\nAnswer: -104908"} +{"tag": "rc2", "kind": "arith", "ok": true, "answer": "-362695", "out": "2519 \u00d7 48 = 120,912\n7123 \u00d7 68 = 484,364\n120,912 \u2212 484,364 = \u2212363,452\n\u2212363,452 + 757 = \u2212362,695\n\nAnswer: -362695"} +{"tag": "rc2", "kind": "arith", "ok": true, "answer": "54418", "out": "7603 \u00d7 57 = 433,371\n7021 \u00d7 54 = 379,134\n433,371 \u2212 379,134 = 54,237\n54,237 + 181 = 54,418\n\nAnswer: 54418"} +{"tag": "rc2", "kind": "arith", "ok": true, "answer": "254547", "out": "7115 \u00d7 66 = 469,590\n7709 \u00d7 28 = 215,852\n469,590 \u2212 215,852 = 253,738\n253,738 + 809 = 254,547\n\nAnswer: 254547"} +{"tag": "rc2", "kind": "arith", "ok": true, "answer": "-369437", "out": "1442 \u00d7 13 = 18,746\n4176 \u00d7 93 = 388,368\n18,746 \u2212 388,368 + 185 = \u2212369,437\n\nAnswer: -369437"} +{"tag": "rc2", "kind": "arith", "ok": true, "answer": "15978", "out": "1013 \u00d7 59 = 59,767\n1139 \u00d7 39 = 44,421\n59,767 \u2212 44,421 = 15,346\n15,346 + 632 = 15,978\n\nAnswer: 15978"} +{"tag": "rc2", "kind": "arith", "ok": true, "answer": "86049", "out": "4306 \u00d7 73 = 314,338\n2830 \u00d7 81 = 229,230\n314,338 \u2212 229,230 = 85,108\n85,108 + 941 = 86,049\n\nAnswer: 86049"} +{"tag": "rc2", "kind": "arith", "ok": true, "answer": "25832", "out": "3621 \u00d7 25 = 90,525\n2717 \u00d7 24 = 65,208\n90,525 \u2212 65,208 = 25,317\n25,317 + 515 = 25,832\n\nAnswer: 25832"} +{"tag": "rc2", "kind": "arith", "ok": true, "answer": "-94793", "out": "1595 \u00d7 53 = 84,535\n8997 \u00d7 20 = 179,940\n84,535 \u2212 179,940 + 612 = \u221295,405 + 612 = \u221294,793\n\nAnswer: -94793"} +{"tag": "rc2", "kind": "arith", "ok": true, "answer": "443100", "out": "6396 \u00d7 85 = 543,660\n3473 \u00d7 29 = 100,717\n543,660 \u2212 100,717 + 157 = 443,100\n\nAnswer: 443100"} +{"tag": "rc2", "kind": "arith", "ok": true, "answer": "-195642", "out": "1435 \u00d7 14 = 20090\n2927 \u00d7 74 = 216598\n20090 \u2212 216598 + 866 = \u2212195642\n\nAnswer: -195642"} +{"tag": "rc2", "kind": "arith", "ok": true, "answer": "-445003", "out": "1524 \u00d7 32 = 48,768\n5260 \u00d7 94 = 494,440\n48,768 \u2212 494,440 + 669 = \u2212445,003\n\nAnswer: -445003"} +{"tag": "rc2", "kind": "arith", "ok": true, "answer": "176326", "out": "7242 \u00d7 67 = 485,214\n9660 \u00d7 32 = 309,120\n485,214 \u2212 309,120 = 176,094\n176,094 + 232 = 176,326\n\nAnswer: 176326"} +{"tag": "rc2", "kind": "arith", "ok": true, "answer": "-276361", "out": "2754 \u00d7 24 = 66,096\n5539 \u00d7 62 = 343,418\n66,096 \u2212 343,418 + 961 = \u2212276,361\n\nAnswer: -276361"} +{"tag": "rc2", "kind": "arith", "ok": true, "answer": "137387", "out": "7277 \u00d7 24 = 174,648\n1783 \u00d7 21 = 37,443\n174,648 \u2212 37,443 = 137,205\n137,205 + 182 = 137,387\n\nAnswer: 137387"} +{"tag": "rc2", "kind": "arith", "ok": true, "answer": "-713347", "out": "2223 \u00d7 48 = 106,704\n9546 \u00d7 86 = 820,956\n106,704 \u2212 820,956 = \u2212714,252\n\u2212714,252 + 905 = \u2212713,347\n\nAnswer: -713347"} +{"tag": "rc2", "kind": "arith", "ok": true, "answer": "-184807", "out": "6223 \u00d7 51 = 317,373\n9479 \u00d7 53 = 502,387\n317,373 \u2212 502,387 = \u2212185,014\n\u2212185,014 + 207 = \u2212184,807\n\nAnswer: -184807"} +{"tag": "rc2", "kind": "arith", "ok": true, "answer": "-110976", "out": "7602 \u00d7 38 = 288,876\n6911 \u00d7 58 = 400,838\n288,876 \u2212 400,838 = \u2212111,962\n\u2212111,962 + 986 = \u2212110,976\n\nAnswer: -110976"} +{"tag": "rc2", "kind": "arith", "ok": true, "answer": "41509", "out": "9701 \u00d7 42 = 407,442\n9171 \u00d7 40 = 366,840\n407,442 \u2212 366,840 = 40,602\n40,602 + 907 = 41,509\n\nAnswer: 41509"} +{"tag": "rc2", "kind": "arith", "ok": true, "answer": "-380080", "out": "5725 \u00d7 30 = 171,750\n9522 \u00d7 58 = 552,276\n171,750 \u2212 552,276 + 446 = \u2212380,080\n\nAnswer: -380080"} +{"tag": "rc2", "kind": "arith", "ok": true, "answer": "228699", "out": "7167 \u00d7 93 = 666,531\n5477 \u00d7 80 = 438,160\n666,531 \u2212 438,160 = 228,371\n228,371 + 328 = 228,699\n\nAnswer: 228699"} +{"tag": "rc2", "kind": "arith", "ok": true, "answer": "-28651", "out": "8941 \u00d7 78 = 697,398\n8549 \u00d7 85 = 726,665\n697,398 \u2212 726,665 = \u221229,267\n\u221229,267 + 616 = \u221228,651\n\nAnswer: -28651"} +{"tag": "rc2", "kind": "arith", "ok": true, "answer": "165921", "out": "3720 \u00d7 70 = 260,400\n1161 \u00d7 82 = 95,202\n260,400 \u2212 95,202 = 165,198\n165,198 + 723 = 165,921\n\nAnswer: 165921"} +{"tag": "rc2", "kind": "arith", "ok": true, "answer": "-278039", "out": "5353 \u00d7 63 = 337,239\n6413 \u00d7 96 = 615,648\n337,239 \u2212 615,648 = \u2212278,409\n\u2212278,409 + 370 = \u2212278,039\n\nAnswer: -278039"} +{"tag": "rc2", "kind": "arith", "ok": true, "answer": "-108535", "out": "2034 \u00d7 69 = 140,346\n5540 \u00d7 45 = 249,300\n140,346 \u2212 249,300 = \u2212108,954\n\u2212108,954 + 419 = \u2212108,535\n\nAnswer: -108535"} +{"tag": "rc2", "kind": "arith", "ok": true, "answer": "-561130", "out": "4801 \u00d7 13 = 62,413\n6499 \u00d7 96 = 623,904\n62,413 \u2212 623,904 + 361 = \u2212561,130\n\nAnswer: -561130"} +{"tag": "rc2", "kind": "arith", "ok": true, "answer": "-329059", "out": "2687 \u00d7 35 = 94,045\n4988 \u00d7 85 = 423,980\n94,045 \u2212 423,980 + 876 = \u2212329,059\n\nAnswer: -329059"} +{"tag": "rc2", "kind": "arith", "ok": true, "answer": "-584058", "out": "1669 \u00d7 60 = 100,140\n7059 \u00d7 97 = 684,723\n100,140 \u2212 684,723 + 525 = \u2212584,058\n\nAnswer: -584058"} +{"tag": "rc2", "kind": "arith", "ok": true, "answer": "-90863", "out": "2598 \u00d7 31 = 80,538\n3514 \u00d7 49 = 172,186\n80,538 \u2212 172,186 = \u221291,648\n\u221291,648 + 785 = \u221290,863\n\nAnswer: -90863"} +{"tag": "rc2", "kind": "arith", "ok": true, "answer": "-49815", "out": "6525 \u00d7 28 = 182,700\n9308 \u00d7 25 = 232,700\n182,700 \u2212 232,700 = \u221250,000\n\u221250,000 + 185 = \u221249,815\n\nAnswer: -49815"} +{"tag": "rc2", "kind": "arith", "ok": true, "answer": "-170174", "out": "2206 \u00d7 55 = 121,330\n7691 \u00d7 38 = 292,258\n121,330 \u2212 292,258 = \u2212170,928\n\u2212170,928 + 754 = \u2212170,174\n\nAnswer: -170174"} +{"tag": "rc2", "kind": "arith", "ok": true, "answer": "-131498", "out": "5088 \u00d7 56 = 284,928\n8685 \u00d7 48 = 416,880\n284,928 \u2212 416,880 = \u2212131,952\n\u2212131,952 + 454 = \u2212131,498\n\nAnswer: -131498"} +{"tag": "rc2", "kind": "arith", "ok": true, "answer": "-238910", "out": "7042 \u00d7 16 = 112,672\n7337 \u00d7 48 = 352,176\n112,672 \u2212 352,176 = \u2212239,504\n\u2212239,504 + 594 = \u2212238,910\n\nAnswer: -238910"} +{"tag": "rc2", "kind": "arith", "ok": true, "answer": "136325", "out": "4187 \u00d7 64 = 267,968\n2645 \u00d7 50 = 132,250\n267,968 \u2212 132,250 = 135,718\n135,718 + 607 = 136,325\n\nAnswer: 136325"} +{"tag": "rc2", "kind": "arith", "ok": true, "answer": "-353650", "out": "5511 \u00d7 78 = 429,858\n9225 \u00d7 85 = 784,125\n429,858 \u2212 784,125 + 617 = \u2212353,650\n\nAnswer: -353650"} +{"tag": "rc2", "kind": "arith", "ok": true, "answer": "649051", "out": "9175 \u00d7 87 = 798,225\n6242 \u00d7 24 = 149,808\n798,225 \u2212 149,808 = 648,417\n648,417 + 634 = 649,051\n\nAnswer: 649051"} +{"tag": "rc2", "kind": "arith", "ok": true, "answer": "-206372", "out": "8754 \u00d7 27 = 236,358\n6238 \u00d7 71 = 442,898\n236,358 \u2212 442,898 + 168 = \u2212206,372\n\nAnswer: -206372"} +{"tag": "rc2", "kind": "arith", "ok": true, "answer": "376484", "out": "9921 \u00d7 47 = 466,287\n6035 \u00d7 15 = 90,525\n466,287 \u2212 90,525 = 375,762\n375,762 + 722 = 376,484\n\nAnswer: 376484"} +{"tag": "rc2", "kind": "arith", "ok": true, "answer": "190532", "out": "6168 \u00d7 52 = 320,736\n3444 \u00d7 38 = 130,872\n320,736 \u2212 130,872 = 189,864\n189,864 + 668 = 190,532\n\nAnswer: 190532"} +{"tag": "rc2", "kind": "arith", "ok": true, "answer": "130853", "out": "6819 \u00d7 54 = 368,226\n4863 \u00d7 49 = 238,287\n368,226 \u2212 238,287 = 129,939\n129,939 + 914 = 130,853\n\nAnswer: 130853"} +{"tag": "rc2", "kind": "arith", "ok": true, "answer": "-79730", "out": "8187 \u00d7 38 = 311,106\n6995 \u00d7 56 = 391,720\n311,106 \u2212 391,720 = \u221280,614\n\u221280,614 + 884 = \u221279,730\n\nAnswer: -79730"} +{"tag": "rc2", "kind": "arith", "ok": true, "answer": "372480", "out": "5768 \u00d7 88 = 507,584\n9048 \u00d7 15 = 135,720\n507,584 \u2212 135,720 = 371,864\n371,864 + 616 = 372,480\n\nAnswer: 372480"} +{"tag": "rc2", "kind": "arith", "ok": true, "answer": "-224669", "out": "2633 \u00d7 20 = 52,660\n4880 \u00d7 57 = 278,160\n52,660 \u2212 278,160 + 831 = \u2212224,669\n\nAnswer: -224669"} +{"tag": "rc2", "kind": "arith", "ok": true, "answer": "171986", "out": "9247 \u00d7 24 = 221,928\n1620 \u00d7 31 = 50,220\n221,928 \u2212 50,220 = 171,708\n171,708 + 278 = 171,986\n\nAnswer: 171986"} +{"tag": "rc2", "kind": "arith", "ok": true, "answer": "-126408", "out": "1069 \u00d7 60 = 64,140\n2273 \u00d7 84 = 190,932\n64,140 \u2212 190,932 + 384 = \u2212126,408\n\nAnswer: -126408"} +{"tag": "rc2", "kind": "arith", "ok": true, "answer": "-48048", "out": "4237 \u00d7 19 = 80,503\n5609 \u00d7 23 = 129,007\n80,503 \u2212 129,007 = \u221248,504\n\u221248,504 + 456 = \u221248,048\n\nAnswer: -48048"} +{"tag": "rc2", "kind": "arith", "ok": true, "answer": "-18682", "out": "6261 \u00d7 40 = 250,440\n7926 \u00d7 34 = 269,484\n250,440 \u2212 269,484 = \u221219,044\n\u221219,044 + 362 = \u221218,682\n\nAnswer: -18682"} +{"tag": "rc2", "kind": "arith", "ok": true, "answer": "93433", "out": "3049 \u00d7 83 = 253,067\n1823 \u00d7 88 = 160,424\n253,067 \u2212 160,424 = 92,643\n92,643 + 790 = 93,433\n\nAnswer: 93433"} +{"tag": "rc2", "kind": "arith", "ok": true, "answer": "-264534", "out": "6036 \u00d7 24 = 144,864\n5692 \u00d7 72 = 409,824\n144,864 \u2212 409,824 = \u2212264,960\n\u2212264,960 + 426 = \u2212264,534\n\nAnswer: -264534"} +{"tag": "rc2", "kind": "arith", "ok": true, "answer": "241272", "out": "6097 \u00d7 68 = 414,596\n7227 \u00d7 24 = 173,448\n414,596 \u2212 173,448 = 241,148\n241,148 + 124 = 241,272\n\nAnswer: 241272"} +{"tag": "rc2", "kind": "arith", "ok": true, "answer": "407077", "out": "8453 \u00d7 88 = 743,864\n3787 \u00d7 89 = 337,043\n743,864 \u2212 337,043 = 406,821\n406,821 + 256 = 407,077\n\nAnswer: 407077"} +{"tag": "rc2", "kind": "arith", "ok": true, "answer": "-63597", "out": "3233 \u00d7 71 = 229,543\n5653 \u00d7 52 = 293,956\n229,543 \u2212 293,956 = \u221264,413\n\u221264,413 + 816 = \u221263,597\n\nAnswer: -63597"} +{"tag": "rc2", "kind": "arith", "ok": true, "answer": "8579", "out": "2520 \u00d7 96 = 241,920\n9008 \u00d7 26 = 234,208\n241,920 \u2212 234,208 = 7,712\n7,712 + 867 = 8,579\n\nAnswer: 8579"} +{"tag": "rc2", "kind": "arith", "ok": true, "answer": "72266", "out": "7583 \u00d7 23 = 174,409\n3306 \u00d7 31 = 102,486\n174,409 \u2212 102,486 = 71,923\n71,923 + 343 = 72,266\n\nAnswer: 72266"} +{"tag": "rc2", "kind": "arith", "ok": true, "answer": "-303638", "out": "8824 \u00d7 41 = 361,784\n9377 \u00d7 71 = 665,767\n361,784 \u2212 665,767 = \u2212303,983\n\u2212303,983 + 345 = \u2212303,638\n\nAnswer: -303638"} +{"tag": "rc2", "kind": "arith", "ok": true, "answer": "-112969", "out": "3074 \u00d7 66 = 202,884\n3599 \u00d7 88 = 316,712\n202,884 \u2212 316,712 = \u2212113,828\n\u2212113,828 + 859 = \u2212112,969\n\nAnswer: -112969"} +{"tag": "rc2", "kind": "arith", "ok": true, "answer": "511530", "out": "6324 \u00d7 88 = 556,512\n1573 \u00d7 29 = 45,617\n556,512 \u2212 45,617 = 510,895\n510,895 + 635 = 511,530\n\nAnswer: 511530"} +{"tag": "rc2", "kind": "arith", "ok": true, "answer": "-417515", "out": "5827 \u00d7 15 = 87,405\n6243 \u00d7 81 = 505,683\n87,405 \u2212 505,683 + 763 = \u2212417,515\n\nAnswer: -417515"} +{"tag": "rc2", "kind": "arith", "ok": true, "answer": "267298", "out": "6824 \u00d7 59 = 6824 \u00d7 60 \u2212 6824 = 409,440 \u2212 6,824 = 402,616\n9085 \u00d7 15 = 136,275\n402,616 \u2212 136,275 = 266,341\n266,341 + 957 = 267,298\n\nAnswer: 267298"} +{"tag": "rc2", "kind": "arith", "ok": true, "answer": "-542711", "out": "2125 \u00d7 73 = 155,125\n8221 \u00d7 85 = 698,785\n155,125 \u2212 698,785 = \u2212543,660\n\u2212543,660 + 949 = \u2212542,711\n\nAnswer: -542711"} +{"tag": "rc2", "kind": "arith", "ok": true, "answer": "-230441", "out": "7743 \u00d7 37 = 286,491\n7724 \u00d7 67 = 517,508\n286,491 \u2212 517,508 + 576 = \u2212230,441\n\nAnswer: -230441"} +{"tag": "rc2", "kind": "arith", "ok": true, "answer": "-150063", "out": "8956 \u00d7 22 = 197,032\n7095 \u00d7 49 = 347,655\n197,032 \u2212 347,655 + 560 = \u2212150,063\n\nAnswer: -150063"} +{"tag": "rc2", "kind": "arith", "ok": true, "answer": "-45751", "out": "6483 \u00d7 92 = 596,436\n7740 \u00d7 83 = 642,420\n596,436 \u2212 642,420 + 233 = \u221245,751\n\nAnswer: -45751"} +{"tag": "rc2", "kind": "arith", "ok": true, "answer": "349226", "out": "6876 \u00d7 77 = 529,452\n7526 \u00d7 24 = 180,624\n529,452 \u2212 180,624 = 348,828\n348,828 + 398 = 349,226\n\nAnswer: 349226"} +{"tag": "rc2", "kind": "arith", "ok": true, "answer": "126", "out": "3455 \u00d7 73 = 252,215\n2836 \u00d7 89 = 252,404\n252,215 \u2212 252,404 + 315 = \u2212189 + 315 = 126\n\nAnswer: 126"} +{"tag": "rc2", "kind": "arith", "ok": true, "answer": "404495", "out": "09 = 693,810 + 7,709 = 701,519\n8507 \u00d7 35 = 8507 \u00d7 30 + 8507 \u00d7 5 = 255,210 + 42,535 = 297,745\n701,519 \u2212 297,745 = 403,774\n403,774 + 721 = 404,495\n\nAnswer: 404495"} +{"tag": "rc2", "kind": "arith", "ok": false, "answer": "140586", "out": "8753 \u00d7 92 = 788,770 + 17,506 = 806,276\n8117 \u00d7 82 = 649,360 + 16,234 = 665,594\n806,276 \u2212 665,594 = 140,682\n140,682 + 904 = 141,586\n\nAnswer: 141586"} +{"tag": "rc2", "kind": "arith", "ok": true, "answer": "-29023", "out": "4060 \u00d7 64 = 259,840\n2987 \u00d7 97 = 289,739\n259,840 \u2212 289,739 + 876 = \u221229,023\n\nAnswer: -29023"} +{"tag": "rc2", "kind": "arith", "ok": true, "answer": "50695", "out": "6695 \u00d7 82 = 548,990\n9774 \u00d7 51 = 498,474\n548,990 \u2212 498,474 = 50,516\n50,516 + 179 = 50,695\n\nAnswer: 50695"} +{"tag": "rc2", "kind": "arith", "ok": true, "answer": "-16815", "out": "7609 \u00d7 25 = 190,225\n3289 \u00d7 63 = 207,207\n190,225 \u2212 207,207 + 167 = \u221216,815\n\nAnswer: -16815"} +{"tag": "rc2", "kind": "arith", "ok": true, "answer": "826865", "out": "97 \u00d7 97 = 9197 \u00d7 100 \u2212 9197 \u00d7 3 = 919700 \u2212 27591 = 892109\n2452 \u00d7 27 = 2452 \u00d7 20 + 2452 \u00d7 7 = 49040 + 17164 = 66204\n892109 \u2212 66204 + 960 = 826865\n\nAnswer: 826865"} +{"tag": "rc2", "kind": "arith", "ok": true, "answer": "155143", "out": "6494 \u00d7 44 = 285,736\n2118 \u00d7 62 = 131,316\n285,736 \u2212 131,316 = 154,420\n154,420 + 723 = 155,143\n\nAnswer: 155143"} +{"tag": "rc2", "kind": "arith", "ok": true, "answer": "114189", "out": "3891 \u00d7 91 = 354,081\n3762 \u00d7 64 = 240,768\n354,081 \u2212 240,768 = 113,313\n113,313 + 876 = 114,189\n\nAnswer: 114189"} +{"tag": "rc2", "kind": "arith", "ok": true, "answer": "370597", "out": "7173 \u00d7 89 = 638,397\n8669 \u00d7 31 = 268,739\n638,397 \u2212 268,739 = 369,658\n369,658 + 939 = 370,597\n\nAnswer: 370597"} +{"tag": "rc2", "kind": "arith", "ok": true, "answer": "-46144", "out": "8653 \u00d7 14 = 121,142\n5406 \u00d7 31 = 167,586\n121,142 \u2212 167,586 + 300 = \u221246,144\n\nAnswer: -46144"} +{"tag": "rc2", "kind": "arith", "ok": true, "answer": "174618", "out": "6654 \u00d7 73 = 485,742\n6501 \u00d7 48 = 312,048\n485,742 \u2212 312,048 = 173,694\n173,694 + 924 = 174,618\n\nAnswer: 174618"} +{"tag": "rc2", "kind": "arith", "ok": true, "answer": "-71328", "out": "5549 \u00d7 29 = 160,921\n8626 \u00d7 27 = 232,902\n160,921 \u2212 232,902 = \u221271,981\n\u221271,981 + 653 = \u221271,328\n\nAnswer: -71328"} +{"tag": "rc2", "kind": "arith", "ok": true, "answer": "-85671", "out": "2253 \u00d7 91 = 205,023\n5197 \u00d7 56 = 291,032\n205,023 \u2212 291,032 + 338 = \u221286,009 + 338 = \u221285,671\n\nAnswer: -85671"} +{"tag": "rc2", "kind": "arith", "ok": true, "answer": "78091", "out": "\u2212 6496 = 519,680 \u2212 6,496 = 513,184\n6048 \u00d7 72 = 6048 \u00d7 70 + 6048 \u00d7 2 = 423,360 + 12,096 = 435,456\n513,184 \u2212 435,456 = 77,728\n77,728 + 363 = 78,091\n\nAnswer: 78091"} +{"tag": "rc2", "kind": "arith", "ok": true, "answer": "-86911", "out": "3599 \u00d7 45 = 161,955\n9994 \u00d7 25 = 249,850\n161,955 \u2212 249,850 = \u221287,895\n\u221287,895 + 984 = \u221286,911\n\nAnswer: -86911"} +{"tag": "rc2", "kind": "arith", "ok": true, "answer": "205431", "out": "5222 \u00d7 66 = 344,652\n2335 \u00d7 60 = 140,100\n344,652 \u2212 140,100 = 204,552\n204,552 + 879 = 205,431\n\nAnswer: 205431"} +{"tag": "rc2", "kind": "arith", "ok": true, "answer": "212206", "out": "6604 \u00d7 75 = 495,300\n4291 \u00d7 66 = 283,206\n495,300 \u2212 283,206 = 212,094\n212,094 + 112 = 212,206\n\nAnswer: 212206"} +{"tag": "rc2", "kind": "arith", "ok": true, "answer": "383600", "out": "8998 \u00d7 56 = 503,888\n1861 \u00d7 65 = 120,965\n503,888 \u2212 120,965 = 382,923\n382,923 + 677 = 383,600\n\nAnswer: 383600"} +{"tag": "rc2", "kind": "arith", "ok": true, "answer": "29108", "out": "2906 \u00d7 53 = 154,018\n4055 \u00d7 31 = 125,705\n154,018 \u2212 125,705 = 28,313\n28,313 + 795 = 29,108\n\nAnswer: 29108"} +{"tag": "rc2", "kind": "arith", "ok": true, "answer": "-388311", "out": "2895 \u00d7 19 = 55005\n5346 \u00d7 83 = 443718\n55005 \u2212 443718 + 402 = \u2212388311\n\nAnswer: -388311"} +{"tag": "rc2", "kind": "arith", "ok": true, "answer": "-278321", "out": "5991 \u00d7 74 = 443,334\n8303 \u00d7 87 = 722,361\n443,334 \u2212 722,361 = \u2212279,027\n\u2212279,027 + 706 = \u2212278,321\n\nAnswer: -278321"} +{"tag": "rc2", "kind": "arith", "ok": true, "answer": "156958", "out": "3955 \u00d7 57 = 225,435\n1324 \u00d7 52 = 68,848\n225,435 \u2212 68,848 = 156,587\n156,587 + 371 = 156,958\n\nAnswer: 156958"} +{"tag": "rc2", "kind": "arith", "ok": true, "answer": "-209685", "out": "5067 \u00d7 36 = 182,412\n4177 \u00d7 94 = 392,638\n182,412 \u2212 392,638 = \u2212210,226\n\u2212210,226 + 541 = \u2212209,685\n\nAnswer: -209685"} +{"tag": "rc2", "kind": "arith", "ok": true, "answer": "-60104", "out": "4168 \u00d7 96 = 400,128\n6058 \u00d7 76 = 460,408\n400,128 \u2212 460,408 + 176 = \u221260,104\n\nAnswer: -60104"} +{"tag": "rc2", "kind": "arith", "ok": true, "answer": "-12633", "out": "7021 \u00d7 34 = 238,714\n3072 \u00d7 82 = 251,904\n238,714 \u2212 251,904 = \u221213,190\n\u221213,190 + 557 = \u221212,633\n\nAnswer: -12633"} +{"tag": "rc2", "kind": "arith", "ok": true, "answer": "254804", "out": "3716 \u00d7 90 = 334,440\n1462 \u00d7 55 = 80,410\n334,440 \u2212 80,410 = 254,030\n254,030 + 774 = 254,804\n\nAnswer: 254804"} +{"tag": "rc2", "kind": "arith", "ok": true, "answer": "-54951", "out": "3963 \u00d7 35 = 138,705\n4405 \u00d7 44 = 193,820\n138,705 \u2212 193,820 = \u221255,115\n\u221255,115 + 164 = \u221254,951\n\nAnswer: -54951"} +{"tag": "rc2", "kind": "arith", "ok": true, "answer": "-18116", "out": "5232 \u00d7 26 = 136,032\n2066 \u00d7 75 = 154,950\n136,032 \u2212 154,950 + 802 = \u221218,116\n\nAnswer: -18116"} +{"tag": "rc2", "kind": "arith", "ok": true, "answer": "70171", "out": "2966 \u00d7 51 = 151,266\n1540 \u00d7 53 = 81,620\n151,266 \u2212 81,620 = 69,646\n69,646 + 525 = 70,171\n\nAnswer: 70171"} +{"tag": "rc2", "kind": "arith", "ok": false, "answer": "101064", "out": "9812 \u00d7 53 = 520,236\n9332 \u00d7 45 = 419,940\n520,236 \u2212 419,940 = 100,296\n100,296 + 968 = 101,264\n\nAnswer: 101264"} +{"tag": "rc2", "kind": "arith", "ok": true, "answer": "-82095", "out": "7495 \u00d7 69 = 517,155\n9372 \u00d7 64 = 599,808\n517,155 \u2212 599,808 + 558 = \u221282,095\n\nAnswer: -82095"} +{"tag": "rc2", "kind": "arith", "ok": true, "answer": "-61936", "out": "2450 \u00d7 30 = 73,500\n5901 \u00d7 23 = 135,723\n73,500 \u2212 135,723 + 287 = \u221262,223 + 287 = \u221261,936\n\nAnswer: -61936"} +{"tag": "rc2", "kind": "arith", "ok": true, "answer": "-96402", "out": "8325 \u00d7 83 = 690,975\n8949 \u00d7 88 = 787,512\n690,975 \u2212 787,512 = \u221296,537\n\u221296,537 + 135 = \u221296,402\n\nAnswer: -96402"} +{"tag": "rc2", "kind": "arith", "ok": true, "answer": "81765", "out": "4878 \u00d7 51 = 248,778\n5066 \u00d7 33 = 167,178\n248,778 \u2212 167,178 = 81,600\n81,600 + 165 = 81,765\n\nAnswer: 81765"} +{"tag": "rc2", "kind": "arith", "ok": true, "answer": "55365", "out": "4710 \u00d7 60 = 282,600\n8151 \u00d7 28 = 228,228\n282,600 \u2212 228,228 = 54,372\n54,372 + 993 = 55,365\n\nAnswer: 55365"} +{"tag": "rc2", "kind": "arith", "ok": true, "answer": "12719", "out": "7030 \u00d7 26 = 182,780\n2748 \u00d7 62 = 170,376\n182,780 \u2212 170,376 = 12,404\n12,404 + 315 = 12,719\n\nAnswer: 12719"} +{"tag": "rc2", "kind": "arith", "ok": true, "answer": "-113286", "out": "5695 \u00d7 57 = 324,615\n7832 \u00d7 56 = 438,592\n324,615 \u2212 438,592 = \u2212113,977\n\u2212113,977 + 691 = \u2212113,286\n\nAnswer: -113286"} +{"tag": "rc2", "kind": "arith", "ok": true, "answer": "-294892", "out": "7567 \u00d7 43 = 325,381\n9131 \u00d7 68 = 620,908\n325,381 \u2212 620,908 = \u2212295,527\n\u2212295,527 + 635 = \u2212294,892\n\nAnswer: -294892"} +{"tag": "rc2", "kind": "arith", "ok": true, "answer": "-89555", "out": "2454 \u00d7 70 = 171,780\n2725 \u00d7 96 = 261,600\n171,780 \u2212 261,600 = \u221289,820\n\u221289,820 + 265 = \u221289,555\n\nAnswer: -89555"} +{"tag": "rc2", "kind": "arith", "ok": true, "answer": "396623", "out": "8603 \u00d7 79 = 679,637\n3837 \u00d7 74 = 283,938\n679,637 \u2212 283,938 = 395,699\n395,699 + 924 = 396,623\n\nAnswer: 396623"} +{"tag": "rc2", "kind": "arith", "ok": true, "answer": "43550", "out": "9400 \u00d7 40 = 376,000\n7395 \u00d7 45 = 332,775\n376,000 \u2212 332,775 = 43,225\n43,225 + 325 = 43,550\n\nAnswer: 43550"} +{"tag": "rc2", "kind": "arith", "ok": true, "answer": "-540379", "out": "5715 \u00d7 36 = 205,740\n8685 \u00d7 86 = 746,910\n205,740 \u2212 746,910 = \u2212541,170\n\u2212541,170 + 791 = \u2212540,379\n\nAnswer: -540379"} +{"tag": "rc2", "kind": "arith", "ok": true, "answer": "-122358", "out": "2314 \u00d7 84 = 194,376\n6742 \u00d7 47 = 316,874\n194,376 \u2212 316,874 + 140 = \u2212122,358\n\nAnswer: -122358"} +{"tag": "rc2", "kind": "arith", "ok": true, "answer": "409753", "out": "5260 \u00d7 89 = 468,140\n1834 \u00d7 32 = 58,688\n468,140 \u2212 58,688 = 409,452\n409,452 + 301 = 409,753\n\nAnswer: 409753"} +{"tag": "rc2", "kind": "arith", "ok": true, "answer": "-330799", "out": "6878 \u00d7 54 = 371,412\n8370 \u00d7 84 = 703,080\n371,412 \u2212 703,080 = \u2212331,668\n\u2212331,668 + 869 = \u2212330,799\n\nAnswer: -330799"} +{"tag": "rc2", "kind": "arith", "ok": true, "answer": "-237705", "out": "1781 \u00d7 90 = 160,290\n8658 \u00d7 46 = 398,268\n160,290 \u2212 398,268 + 273 = \u2212237,705\n\nAnswer: -237705"} +{"tag": "rc2", "kind": "arith", "ok": true, "answer": "-153904", "out": "9018 \u00d7 29 = 261,522\n5779 \u00d7 72 = 416,088\n261,522 \u2212 416,088 = \u2212154,566\n\u2212154,566 + 662 = \u2212153,904\n\nAnswer: -153904"} +{"tag": "rc2", "kind": "arith", "ok": true, "answer": "265113", "out": "4398 \u00d7 95 = 4398 \u00d7 100 \u2212 4398 \u00d7 5 = 439800 \u2212 21990 = 417810\n1705 \u00d7 90 = 153450\n417810 \u2212 153450 = 264360\n264360 + 753 = 265113\n\nAnswer: 265113"} +{"tag": "rc2", "kind": "arith", "ok": true, "answer": "-47438", "out": "1947 \u00d7 26 = 50,622\n1371 \u00d7 72 = 98,712\n50,622 \u2212 98,712 + 652 = \u221247,438\n\nAnswer: -47438"} +{"tag": "rc2", "kind": "arith", "ok": true, "answer": "30899", "out": "5973 \u00d7 25 = 149,325\n2197 \u00d7 54 = 118,638\n149,325 \u2212 118,638 = 30,687\n30,687 + 212 = 30,899\n\nAnswer: 30899"} +{"tag": "rc2", "kind": "arith", "ok": true, "answer": "414096", "out": "5880 \u00d7 95 = 558,600\n6291 \u00d7 23 = 144,693\n558,600 \u2212 144,693 = 413,907\n413,907 + 189 = 414,096\n\nAnswer: 414096"} +{"tag": "rc2", "kind": "arith", "ok": true, "answer": "-377848", "out": "2050 \u00d7 42 = 86,100\n6369 \u00d7 73 = 464,937\n86,100 \u2212 464,937 + 989 = \u2212377,848\n\nAnswer: -377848"} +{"tag": "rc2", "kind": "arith", "ok": true, "answer": "-12260", "out": "2233 \u00d7 16 = 35,728\n2117 \u00d7 23 = 48,691\n35,728 \u2212 48,691 = \u221212,963\n\u221212,963 + 703 = \u221212,260\n\nAnswer: -12260"} +{"tag": "rc2", "kind": "arith", "ok": true, "answer": "-276957", "out": "3721 \u00d7 90 = 334,890\n6313 \u00d7 97 = 631,300 \u2212 18,939 = 612,361\n334,890 \u2212 612,361 + 514 = \u2212276,957\n\nAnswer: -276957"} +{"tag": "rc2", "kind": "arith", "ok": true, "answer": "-268149", "out": "1163 \u00d7 86 = 100,018\n9000 \u00d7 41 = 369,000\n100,018 \u2212 369,000 + 833 = \u2212268,149\n\nAnswer: -268149"} +{"tag": "rc2", "kind": "arith", "ok": true, "answer": "589317", "out": "7627 \u00d7 86 = 655,922\n3931 \u00d7 17 = 66,827\n655,922 \u2212 66,827 + 222 = 589,095 + 222 = 589,317\n\nAnswer: 589317"} +{"tag": "rc2", "kind": "arith", "ok": true, "answer": "-122292", "out": "1189 \u00d7 34 = 40,426\n2768 \u00d7 59 = 163,312\n40,426 \u2212 163,312 + 594 = \u2212122,292\n\nAnswer: -122292"} +{"tag": "rc2", "kind": "arith", "ok": true, "answer": "-299538", "out": "2909 \u00d7 66 = 191,994\n9459 \u00d7 52 = 491,868\n191,994 \u2212 491,868 + 336 = \u2212299,538\n\nAnswer: -299538"} +{"tag": "rc2", "kind": "arith", "ok": true, "answer": "276153", "out": "7019 \u00d7 69 = 484,311\n8341 \u00d7 25 = 208,525\n484,311 \u2212 208,525 = 275,786\n275,786 + 367 = 276,153\n\nAnswer: 276153"} +{"tag": "rc2", "kind": "arith", "ok": true, "answer": "-399291", "out": "Factor out 88: (2379 \u2212 6926) \u00d7 88 + 845\n= (\u22124547) \u00d7 88 + 845\n= \u2212400136 + 845\n= \u2212399291\n\nAnswer: -399291"} +{"tag": "rc2", "kind": "arith", "ok": true, "answer": "-66758", "out": "1247 \u00d7 59 = 73,573\n2995 \u00d7 47 = 140,765\n73,573 \u2212 140,765 + 434 = \u221266,758\n\nAnswer: -66758"} +{"tag": "rc2", "kind": "arith", "ok": true, "answer": "-380329", "out": "1288 \u00d7 96 = 123,648\n5800 \u00d7 87 = 504,600\n123,648 \u2212 504,600 + 623 = \u2212380,329\n\nAnswer: -380329"} +{"tag": "rc2", "kind": "arith", "ok": true, "answer": "-198813", "out": "1088 \u00d7 56 = 60,928\n2801 \u00d7 93 = 260,493\n60,928 \u2212 260,493 + 752 = \u2212198,813\n\nAnswer: -198813"} +{"tag": "rc2", "kind": "arith", "ok": true, "answer": "-7903", "out": "3203 \u00d7 41 = 131,323\n3246 \u00d7 43 = 139,578\n131,323 \u2212 139,578 = \u22128,255\n\u22128,255 + 352 = \u22127,903\n\nAnswer: -7903"} +{"tag": "rc2", "kind": "arith", "ok": true, "answer": "338776", "out": "9267 \u00d7 84 = 778,428\n6872 \u00d7 64 = 439,808\n778,428 \u2212 439,808 = 338,620\n338,620 + 156 = 338,776\n\nAnswer: 338776"} +{"tag": "rc2", "kind": "arith", "ok": true, "answer": "227531", "out": "8316 \u00d7 79 = 656,964\n9357 \u00d7 46 = 430,422\n656,964 \u2212 430,422 = 226,542\n226,542 + 989 = 227,531\n\nAnswer: 227531"} +{"tag": "rc2", "kind": "arith", "ok": true, "answer": "-244230", "out": "1380 \u00d7 82 = 113,160\n5969 \u00d7 60 = 358,140\n113,160 \u2212 358,140 + 750 = \u2212244,230\n\nAnswer: -244230"} +{"tag": "rc2", "kind": "arith", "ok": true, "answer": "-301848", "out": "3242 \u00d7 17 = 55,114\n6501 \u00d7 55 = 357,555\n55,114 \u2212 357,555 = \u2212302,441\n\u2212302,441 + 593 = \u2212301,848\n\nAnswer: -301848"} +{"tag": "rc2", "kind": "arith", "ok": true, "answer": "-224010", "out": "6377 \u00d7 61 = 388,997\n6388 \u00d7 96 = 613,248\n388,997 \u2212 613,248 + 241 = \u2212224,010\n\nAnswer: -224010"} +{"tag": "rc2", "kind": "arith", "ok": true, "answer": "-30955", "out": "1603 \u00d7 13 = 20839\n3291 \u00d7 16 = 52656\n20839 \u2212 52656 + 862 = \u221231817 + 862 = \u221230955\n\nAnswer: -30955"} +{"tag": "rc2", "kind": "arith", "ok": true, "answer": "82011", "out": "9528 \u00d7 27 = 257,256\n8780 \u00d7 20 = 175,600\n257,256 \u2212 175,600 = 81,656\n81,656 + 355 = 82,011\n\nAnswer: 82011"} +{"tag": "rc2", "kind": "arith", "ok": true, "answer": "32409", "out": "3854 \u00d7 58 = 223,532\n2253 \u00d7 85 = 191,505\n223,532 \u2212 191,505 = 32,027\n32,027 + 382 = 32,409\n\nAnswer: 32409"} +{"tag": "rc2", "kind": "arith", "ok": true, "answer": "49681", "out": "4290 \u00d7 42 = 180,180\n6563 \u00d7 20 = 131,260\n180,180 \u2212 131,260 = 48,920\n48,920 + 761 = 49,681\n\nAnswer: 49681"} +{"tag": "rc2", "kind": "arith", "ok": true, "answer": "55954", "out": "4850 \u00d7 41 = 198,850\n1559 \u00d7 92 = 143,428\n198,850 \u2212 143,428 = 55,422\n55,422 + 532 = 55,954\n\nAnswer: 55954"} +{"tag": "rc2", "kind": "arith", "ok": true, "answer": "-765927", "out": "5753 \u00d7 21 = 120,813\n9244 \u00d7 96 = 887,424\n120,813 \u2212 887,424 + 684 = \u2212765,927\n\nAnswer: -765927"} +{"tag": "rc2", "kind": "arith", "ok": true, "answer": "-17105", "out": "8007 \u00d7 62 = 496,434\n9512 \u00d7 54 = 513,648\n496,434 \u2212 513,648 = \u221217,214\n\u221217,214 + 109 = \u221217,105\n\nAnswer: -17105"} +{"tag": "rc2", "kind": "arith", "ok": true, "answer": "-181974", "out": "2408 \u00d7 81 = 195,048\n9679 \u00d7 39 = 377,481\n195,048 \u2212 377,481 + 459 = \u2212181,974\n\nAnswer: -181974"} +{"tag": "rc2", "kind": "arith", "ok": true, "answer": "-16426", "out": "8046 \u00d7 30 = 241,380\n4613 \u00d7 56 = 258,328\n241,380 \u2212 258,328 + 522 = \u221216,426\n\nAnswer: -16426"} +{"tag": "rc2", "kind": "arith", "ok": true, "answer": "-358261", "out": "1706 \u00d7 25 = 42,650\n9344 \u00d7 43 = 401,792\n42,650 \u2212 401,792 + 881 = \u2212358,261\n\nAnswer: -358261"} +{"tag": "rc2", "kind": "arith", "ok": true, "answer": "-16385", "out": "8938 \u00d7 19 = 169,822\n2278 \u00d7 82 = 186,796\n169,822 \u2212 186,796 = \u221216,974\n\u221216,974 + 589 = \u221216,385\n\nAnswer: -16385"} +{"tag": "rc2", "kind": "arith", "ok": true, "answer": "-104940", "out": "9193 \u00d7 22 = 202,246\n5124 \u00d7 60 = 307,440\n202,246 \u2212 307,440 + 254 = \u2212104,940\n\nAnswer: -104940"} +{"tag": "rc2", "kind": "arith", "ok": true, "answer": "369460", "out": "9279 \u00d7 57 = 528,903\n3560 \u00d7 45 = 160,200\n528,903 \u2212 160,200 = 368,703\n368,703 + 757 = 369,460\n\nAnswer: 369460"} +{"tag": "rc2", "kind": "arith", "ok": true, "answer": "100772", "out": "5604 \u00d7 29 = 162,516\n1063 \u00d7 59 = 62,717\n162,516 \u2212 62,717 = 99,799\n99,799 + 973 = 100,772\n\nAnswer: 100772"} +{"tag": "rc2", "kind": "arith", "ok": true, "answer": "66339", "out": "7070 \u00d7 30 = 212,100\n2989 \u00d7 49 = 2989 \u00d7 50 \u2212 2989 = 149,450 \u2212 2,989 = 146,461\n212,100 \u2212 146,461 + 700 = 66,339\n\nAnswer: 66339"} +{"tag": "rc2", "kind": "arith", "ok": true, "answer": "472525", "out": "8596 \u00d7 80 = 687,680\n3314 \u00d7 65 = 215,410\n687,680 \u2212 215,410 = 472,270\n472,270 + 255 = 472,525\n\nAnswer: 472525"} +{"tag": "rc2", "kind": "arith", "ok": true, "answer": "238859", "out": "8035 \u00d7 47 = 8035 \u00d7 40 + 8035 \u00d7 7 = 321400 + 56245 = 377645\n1742 \u00d7 80 = 139360\n377645 \u2212 139360 = 238285\n238285 + 574 = 238859\n\nAnswer: 238859"} +{"tag": "rc2", "kind": "arith", "ok": true, "answer": "581380", "out": "0 \u2212 7499 \u00d7 3 = 749900 \u2212 22497 = 727403\n5219 \u00d7 28 = 5219 \u00d7 30 \u2212 5219 \u00d7 2 = 156570 \u2212 10438 = 146132\n727403 \u2212 146132 = 581271\n581271 + 109 = 581380\n\nAnswer: 581380"} +{"tag": "rc2", "kind": "arith", "ok": true, "answer": "-216360", "out": "1385 \u00d7 30 = 41,550\n6985 \u00d7 37 = 258,445\n41,550 \u2212 258,445 + 535 = \u2212216,360\n\nAnswer: -216360"} +{"tag": "rc2", "kind": "arith", "ok": true, "answer": "63901", "out": "4823 \u00d7 96 = 463,008\n8693 \u00d7 46 = 399,878\n463,008 \u2212 399,878 = 63,130\n63,130 + 771 = 63,901\n\nAnswer: 63901"} +{"tag": "rc2", "kind": "arith", "ok": true, "answer": "89176", "out": "8180 \u00d7 28 = 229,040\n1523 \u00d7 92 = 140,116\n229,040 \u2212 140,116 = 88,924\n88,924 + 252 = 89,176\n\nAnswer: 89176"} +{"tag": "rc2", "kind": "arith", "ok": true, "answer": "52179", "out": "3692 \u00d7 80 = 295,360\n3989 \u00d7 61 = 243,329\n295,360 \u2212 243,329 = 52,031\n52,031 + 148 = 52,179\n\nAnswer: 52179"} +{"tag": "rc2", "kind": "arith", "ok": true, "answer": "-13419", "out": "4831 \u00d7 77 = 338170 + 33817 = 371987\n4195 \u00d7 92 = 377550 + 8390 = 385940\n371987 \u2212 385940 + 534 = \u221213953 + 534 = \u221213419\n\nAnswer: -13419"} +{"tag": "rc2", "kind": "arith", "ok": true, "answer": "-311919", "out": "3113 \u00d7 89 = 277,057\n9207 \u00d7 64 = 589,248\n277,057 \u2212 589,248 + 272 = \u2212311,919\n\nAnswer: -311919"} +{"tag": "rc2", "kind": "arith", "ok": true, "answer": "46589", "out": "2006 \u00d7 73 = 146,438\n1154 \u00d7 87 = 100,398\n146,438 \u2212 100,398 = 46,040\n46,040 + 549 = 46,589\n\nAnswer: 46589"} +{"tag": "rc2", "kind": "arith", "ok": true, "answer": "-334650", "out": "8102 \u00d7 16 = 129,632\n6646 \u00d7 70 = 465,220\n129,632 \u2212 465,220 = \u2212335,588\n\u2212335,588 + 938 = \u2212334,650\n\nAnswer: -334650"} +{"tag": "rc2", "kind": "arith", "ok": true, "answer": "-27964", "out": "2657 \u00d7 92 = 244,444\n3365 \u00d7 81 = 272,565\n244,444 \u2212 272,565 = \u221228,121\n\u221228,121 + 157 = \u221227,964\n\nAnswer: -27964"} +{"tag": "rc2", "kind": "arith", "ok": true, "answer": "322893", "out": "8781 \u00d7 54 = 474,174\n5076 \u00d7 30 = 152,280\n474,174 \u2212 152,280 = 321,894\n321,894 + 999 = 322,893\n\nAnswer: 322893"} +{"tag": "rc2", "kind": "arith", "ok": true, "answer": "-248724", "out": "3361 \u00d7 65 = 218,465\n5572 \u00d7 84 = 468,048\n218,465 \u2212 468,048 + 859 = \u2212248,724\n\nAnswer: -248724"} +{"tag": "rc2", "kind": "arith", "ok": true, "answer": "-120749", "out": "3605 \u00d7 87 = 313,635\n7376 \u00d7 59 = 435,184\n313,635 \u2212 435,184 = \u2212121,549\n\u2212121,549 + 800 = \u2212120,749\n\nAnswer: -120749"} +{"tag": "rc2", "kind": "arith", "ok": true, "answer": "-316318", "out": "1959 \u00d7 38 = 74,442\n6409 \u00d7 61 = 390,949\n74,442 \u2212 390,949 + 189 = \u2212316,318\n\nAnswer: -316318"} +{"tag": "rc2", "kind": "arith", "ok": true, "answer": "-661784", "out": "4927 \u00d7 24 = 118,248\n9758 \u00d7 80 = 780,640\n118,248 \u2212 780,640 + 608 = \u2212661,784\n\nAnswer: -661784"} +{"tag": "rc2", "kind": "arith", "ok": true, "answer": "39047", "out": "8173 \u00d7 17 = 138,941\n3348 \u00d7 30 = 100,440\n138,941 \u2212 100,440 = 38,501\n38,501 + 546 = 39,047\n\nAnswer: 39047"} +{"tag": "rc2", "kind": "arith", "ok": true, "answer": "50919", "out": "5487 \u00d7 27 = 148,149\n5124 \u00d7 19 = 97,356\n148,149 \u2212 97,356 = 50,793\n50,793 + 126 = 50,919\n\nAnswer: 50919"} +{"tag": "rc2", "kind": "arith", "ok": true, "answer": "298066", "out": "8382 \u00d7 51 = 427,482\n2279 \u00d7 57 = 129,903\n427,482 \u2212 129,903 = 297,579\n297,579 + 487 = 298,066\n\nAnswer: 298066"} +{"tag": "rc2", "kind": "arith", "ok": true, "answer": "-48179", "out": "9749 \u00d7 28 = 272,972\n9456 \u00d7 34 = 321,504\n272,972 \u2212 321,504 = \u221248,532\n\u221248,532 + 353 = \u221248,179\n\nAnswer: -48179"} +{"tag": "rc2", "kind": "arith", "ok": true, "answer": "-101497", "out": "2344 \u00d7 58 = 135,952\n5537 \u00d7 43 = 238,091\n135,952 \u2212 238,091 + 642 = \u2212101,497\n\nAnswer: -101497"} +{"tag": "rc2", "kind": "arith", "ok": true, "answer": "-268554", "out": "8601 \u00d7 26 = 223,626\n5734 \u00d7 86 = 493,124\n223,626 \u2212 493,124 = \u2212269,498\n\u2212269,498 + 944 = \u2212268,554\n\nAnswer: -268554"} +{"tag": "rc2", "kind": "arith", "ok": true, "answer": "-309509", "out": "5085 \u00d7 77 = 391,545\n8162 \u00d7 86 = 701,932\n391,545 \u2212 701,932 + 878 = \u2212309,509\n\nAnswer: -309509"} +{"tag": "rc2", "kind": "arith", "ok": true, "answer": "-69427", "out": "5560 \u00d7 15 = 83,400\n2642 \u00d7 58 = 153,236\n83,400 \u2212 153,236 = \u221269,836\n\u221269,836 + 409 = \u221269,427\n\nAnswer: -69427"} +{"tag": "rc2", "kind": "arith", "ok": true, "answer": "198975", "out": "3017 \u00d7 76 = 229,292\n2222 \u00d7 14 = 31,108\n229,292 \u2212 31,108 = 198,184\n198,184 + 791 = 198,975\n\nAnswer: 198975"} +{"tag": "rc2", "kind": "arith", "ok": true, "answer": "-181624", "out": "1428 \u00d7 74 = 105,672\n5648 \u00d7 51 = 288,048\n105,672 \u2212 288,048 + 752 = \u2212181,624\n\nAnswer: -181624"} +{"tag": "rc2", "kind": "arith", "ok": true, "answer": "3339", "out": "4523 \u00d7 25 = 113,075\n3935 \u00d7 28 = 110,180\n113,075 \u2212 110,180 = 2,895\n2,895 + 444 = 3,339\n\nAnswer: 3339"} +{"tag": "rc2", "kind": "arith", "ok": true, "answer": "-253162", "out": "9348 \u00d7 26 = 243,048\n9203 \u00d7 54 = 496,962\n243,048 \u2212 496,962 + 752 = \u2212253,162\n\nAnswer: -253162"} +{"tag": "rc2", "kind": "arith", "ok": true, "answer": "86525", "out": "2827 \u00d7 36 = 101,772\n1005 \u00d7 16 = 16,080\n101,772 \u2212 16,080 = 85,692\n85,692 + 833 = 86,525\n\nAnswer: 86525"} +{"tag": "rc2", "kind": "arith", "ok": true, "answer": "651584", "out": "7958 \u00d7 88 = 700,304\n1772 \u00d7 28 = 49,616\n700,304 \u2212 49,616 = 650,688\n650,688 + 896 = 651,584\n\nAnswer: 651584"} +{"tag": "rc2", "kind": "arith", "ok": true, "answer": "86371", "out": "2820 \u00d7 90 = 253,800\n4000 \u00d7 42 = 168,000\n253,800 \u2212 168,000 = 85,800\n85,800 + 571 = 86,371\n\nAnswer: 86371"} +{"tag": "rc2", "kind": "arith", "ok": true, "answer": "-148158", "out": "1057 \u00d7 32 = 33,824\n3036 \u00d7 60 = 182,160\n33,824 \u2212 182,160 + 178 = \u2212148,158\n\nAnswer: -148158"} +{"tag": "rc2", "kind": "arith", "ok": true, "answer": "40605", "out": "1035 \u00d7 95 = 98,325\n1289 \u00d7 45 = 58,005\n98,325 \u2212 58,005 = 40,320\n40,320 + 285 = 40,605\n\nAnswer: 40605"} +{"tag": "rc2", "kind": "arith", "ok": true, "answer": "8166", "out": "7397 \u00d7 16 = 118,352\n2525 \u00d7 44 = 111,100\n118,352 \u2212 111,100 = 7,252\n7,252 + 914 = 8,166\n\nAnswer: 8166"} +{"tag": "rc2", "kind": "arith", "ok": true, "answer": "278229", "out": "8135 \u00d7 60 = 488100\n4572 \u00d7 46 = 210312\n488100 \u2212 210312 + 441 = 278229\n\nAnswer: 278229"} +{"tag": "rc2", "kind": "arith", "ok": true, "answer": "486330", "out": " \u00d7 100 \u2212 8846 \u00d7 7 = 884600 \u2212 61922 = 822678\n8643 \u00d7 39 = 8643 \u00d7 40 \u2212 8643 = 345720 \u2212 8643 = 337077\n822678 \u2212 337077 = 485601\n485601 + 729 = 486330\n\nAnswer: 486330"} +{"tag": "rc2", "kind": "arith", "ok": true, "answer": "174750", "out": "4163 \u00d7 54 = 224,802\n2394 \u00d7 21 = 50,274\n224,802 \u2212 50,274 = 174,528\n174,528 + 222 = 174,750\n\nAnswer: 174750"} +{"tag": "rc2", "kind": "arith", "ok": true, "answer": "-129490", "out": "4552 \u00d7 74 = 336,848\n4970 \u00d7 94 = 467,180\n336,848 \u2212 467,180 = \u2212130,332\n\u2212130,332 + 842 = \u2212129,490\n\nAnswer: -129490"} +{"tag": "rc2", "kind": "arith", "ok": true, "answer": "191220", "out": "9271 \u00d7 50 = 463,550\n2846 \u00d7 96 = 2846 \u00d7 100 \u2212 2846 \u00d7 4 = 284,600 \u2212 11,384 = 273,216\n463,550 \u2212 273,216 = 190,334\n190,334 + 886 = 191,220\n\nAnswer: 191220"} +{"tag": "rc2", "kind": "arith", "ok": true, "answer": "184119", "out": "3996 \u00d7 70 = 279,720\n1022 \u00d7 94 = 96,068\n279,720 \u2212 96,068 = 183,652\n183,652 + 467 = 184,119\n\nAnswer: 184119"} +{"tag": "rc2", "kind": "arith", "ok": true, "answer": "174169", "out": "3788 \u00d7 79 = 3788 \u00d7 80 \u2212 3788 = 303040 \u2212 3788 = 299252\n6269 \u00d7 20 = 125380\n299252 \u2212 125380 + 297 = 173872 + 297 = 174169\n\nAnswer: 174169"} +{"tag": "rc2", "kind": "arith", "ok": true, "answer": "464086", "out": "7169 \u00d7 86 = 616,534\n2948 \u00d7 52 = 153,296\n616,534 \u2212 153,296 = 463,238\n463,238 + 848 = 464,086\n\nAnswer: 464086"} +{"tag": "rc2", "kind": "arith", "ok": true, "answer": "194847", "out": "2378 \u00d7 95 = 2378 \u00d7 100 \u2212 2378 \u00d7 5 = 237800 \u2212 11890 = 225910\n2429 \u00d7 13 = 31577\n225910 \u2212 31577 + 514 = 194333 + 514 = 194847\n\nAnswer: 194847"} +{"tag": "rc2", "kind": "arith", "ok": true, "answer": "313197", "out": "6412 \u00d7 61 = 6412 \u00d7 60 + 6412 = 384720 + 6412 = 391132\n3911 \u00d7 20 = 78220\n391132 \u2212 78220 = 312912\n312912 + 285 = 313197\n\nAnswer: 313197"} +{"tag": "rc2", "kind": "arith", "ok": false, "answer": "110784", "out": "5245 \u00d7 60 = 314,700\n2497 \u00d7 82 = 204,734\n314,700 \u2212 204,734 = 109,966\n109,966 + 838 = 110,804\n\nAnswer: 110804"} +{"tag": "rc2", "kind": "arith", "ok": true, "answer": "-520720", "out": "2892 \u00d7 63 = 182,196\n7324 \u00d7 96 = 703,104\n182,196 \u2212 703,104 + 188 = \u2212520,720\n\nAnswer: -520720"} +{"tag": "rc2", "kind": "arith", "ok": true, "answer": "891632", "out": "9872 \u00d7 95 = 9872 \u00d7 100 \u2212 9872 \u00d7 5 = 987200 \u2212 49360 = 937840\n2129 \u00d7 22 = 46838\n937840 \u2212 46838 + 630 = 891002 + 630 = 891632\n\nAnswer: 891632"} +{"tag": "rc2", "kind": "arith", "ok": true, "answer": "162847", "out": "2559 \u00d7 89 = 2559 \u00d7 90 \u2212 2559 = 230310 \u2212 2559 = 227751\n4098 \u00d7 16 = 65568\n227751 \u2212 65568 = 162183\n162183 + 664 = 162847\n\nAnswer: 162847"} +{"tag": "rc2", "kind": "arith", "ok": false, "answer": "-217219", "out": "3943 \u00d7 58 = 228,704\n6039 \u00d7 74 = 446,886\n228,704 \u2212 446,886 + 973 = \u2212217,209\n\nAnswer: -217209"} +{"tag": "rc2", "kind": "arith", "ok": true, "answer": "79408", "out": "6084 \u00d7 23 = 139,932\n4687 \u00d7 13 = 60,931\n139,932 \u2212 60,931 = 79,001\n79,001 + 407 = 79,408\n\nAnswer: 79408"} +{"tag": "rc2", "kind": "arith", "ok": true, "answer": "-99346", "out": "1929 \u00d7 71 = 136,959\n6235 \u00d7 38 = 236,930\n136,959 \u2212 236,930 = \u221299,971\n\u221299,971 + 625 = \u221299,346\n\nAnswer: -99346"} +{"tag": "rc2", "kind": "arith", "ok": true, "answer": "279863", "out": "5739 \u00d7 57 = 327,123\n1031 \u00d7 46 = 47,426\n327,123 \u2212 47,426 = 279,697\n279,697 + 166 = 279,863\n\nAnswer: 279863"} +{"tag": "rc2", "kind": "arith", "ok": true, "answer": "79572", "out": "1994 \u00d7 54 = 107,676\n1782 \u00d7 16 = 28,512\n107,676 \u2212 28,512 = 79,164\n79,164 + 408 = 79,572\n\nAnswer: 79572"} +{"tag": "rc2", "kind": "arith", "ok": true, "answer": "-21094", "out": "4973 \u00d7 70 = 348,110\n4510 \u00d7 82 = 369,820\n348,110 \u2212 369,820 + 616 = \u221221,710 + 616 = \u221221,094\n\nAnswer: -21094"} +{"tag": "rc2", "kind": "needle", "ok": true, "answer": "24547521", "out": "24547521"} +{"tag": "rc2", "kind": "needle", "ok": true, "answer": "35839260", "out": "35839260"} +{"tag": "rc2", "kind": "needle", "ok": true, "answer": "43498609", "out": "43498609"} +{"tag": "rc2", "kind": "needle", "ok": true, "answer": "31899084", "out": "31899084"} +{"tag": "rc2", "kind": "needle", "ok": true, "answer": "90731237", "out": "90731237"} +{"tag": "rc2", "kind": "needle", "ok": true, "answer": "08946387", "out": "08946387"} +{"tag": "rc2", "kind": "needle", "ok": true, "answer": "72382111", "out": "72382111"} +{"tag": "rc2", "kind": "needle", "ok": true, "answer": "04056216", "out": "04056216"} +{"tag": "rc2", "kind": "needle", "ok": true, "answer": "00425406", "out": "00425406"} +{"tag": "rc2", "kind": "needle", "ok": true, "answer": "84857389", "out": "84857389"} +{"tag": "rc2", "kind": "needle", "ok": true, "answer": "33842723", "out": "33842723"} +{"tag": "rc2", "kind": "needle", "ok": true, "answer": "67329458", "out": "67329458"} +{"tag": "rc2", "kind": "needle", "ok": true, "answer": "25250437", "out": "k942663 -> c352213 -> 25250437\n\n25250437"} +{"tag": "rc2", "kind": "needle", "ok": true, "answer": "72172530", "out": "c023756 \u2192 72172530\n\n72172530"} +{"tag": "rc2", "kind": "needle", "ok": true, "answer": "90093235", "out": "90093235"} +{"tag": "rc2", "kind": "needle", "ok": true, "answer": "43968581", "out": "43968581"} +{"tag": "rc2", "kind": "needle", "ok": true, "answer": "14222182", "out": "14222182"} +{"tag": "rc2", "kind": "needle", "ok": true, "answer": "39320321", "out": "39320321"} +{"tag": "rc2", "kind": "needle", "ok": true, "answer": "79903620", "out": "79903620"} +{"tag": "rc2", "kind": "needle", "ok": true, "answer": "04692612", "out": "04692612"} +{"tag": "rc2", "kind": "needle", "ok": true, "answer": "44160824", "out": "44160824"} +{"tag": "rc2", "kind": "needle", "ok": true, "answer": "75349505", "out": "75349505"} +{"tag": "rc2", "kind": "needle", "ok": true, "answer": "62984970", "out": "62984970"} +{"tag": "rc2", "kind": "needle", "ok": true, "answer": "49576950", "out": "49576950"} diff --git a/results/2026-10-09-rc2/raw/rc2-bench.log b/results/2026-10-09-rc2/raw/rc2-bench.log new file mode 100644 index 0000000..fb66d79 --- /dev/null +++ b/results/2026-10-09-rc2/raw/rc2-bench.log @@ -0,0 +1,18 @@ +rig-decode exit 0 +rig-conc exit 0 +discarded-warmup.json 50.260264 1600 [16203, 16206, 16206, 16205] +field-guide-r1.json 49.94371 1600 [16202, 16205, 16205, 16204] +field-guide-r2.json 49.876686 1600 [16202, 16205, 16205, 16204] +field-guide-r3.json 49.409647 1600 [16202, 16205, 16205, 16204] +field-guide-r4.json 50.196689 1600 [16202, 16205, 16205, 16204] +field-guide-r5.json 50.112107 1600 [16202, 16205, 16205, 16204] +FIELD-DONE rc2-4046c 16384 +discarded-warmup.json 76.327756 1600 [33014, 33017, 33017, 33016] +field-guide-r1.json 77.170586 1600 [33013, 33016, 33016, 33015] +field-guide-r2.json 77.335999 1600 [33013, 33016, 33016, 33015] +field-guide-r3.json 78.184947 1600 [33013, 33016, 33016, 33015] +FIELD-DONE rc2-4046c 32768 +matrix exit 0 +rc2-4046c arith: 39/40 +rc2-4046c needle: 12/12 +FINAL-BENCH-DONE rc2-4046c diff --git a/results/2026-10-09-rc2/raw/rc2-spark-rc2-f2b805e7.json b/results/2026-10-09-rc2/raw/rc2-spark-rc2-f2b805e7.json new file mode 100644 index 0000000..a8b397c --- /dev/null +++ b/results/2026-10-09-rc2/raw/rc2-spark-rc2-f2b805e7.json @@ -0,0 +1,49 @@ +{ + "arm": "rc2-spark-rc2-f2b805e7", + "speed": { + "code-c1": 54.6, + "code-c2": 71.3, + "code-c4": 87.7, + "prose-c1": 42.2, + "prose-c2": 53.9, + "prose-c4": 65.4 + }, + "exact": { + "c1": [ + "```python\nRED = True\nBLACK = False\n\n\nclass Node:\n def __init__(self, key, color=RED, left=None, right=None, parent=None):\n self.key = key\n self.color = color\n self.left = left\n self.right = right\n self.parent = parent\n\n\nclass RedBlackTree:\n def __init__(self):\n self.NIL = Node(key=None, color=BLACK)\n self.root = self.NIL\n\n # ---------- rotations ----------\n def _left_rotate(self, x):\n y = x.right\n x.right = y.left\n if y.left != self.NIL:\n y.left.parent = x\n y.parent = x.parent\n if x.parent == self.NIL:\n self.root = y\n elif x == x.parent.left:\n x.parent.left = y\n else:\n x.parent.right = y\n y.left = x\n x.parent = y\n\n def _right_rotate(self, x):\n y = x.left\n x.left = y.right\n if y.right != self.NIL:\n y.right.parent = x\n y.parent = x.parent\n if x.parent ==", + "# The Planets in Order from the Sun\n\n1. **Mercury** \u2014 The smallest planet and closest to the Sun, Mercury has extreme temperature swings between its scorching days and freezing nights.\n\n2. **Venus** \u2014 Wrapped in thick clouds of carbon dioxide, Venus is the hottest planet in the solar system due to a runaway greenhouse effect.\n\n3. **Earth** \u2014 The only known planet to support life, Earth is covered mostly by liquid water and has a single large moon.\n\n4. **Mars** \u2014 The \"Red Planet\" gets its color from iron oxide dust and features the tallest volcano in the solar system, Olympus Mons.\n\n5. **Jupiter** \u2014 The largest planet, Jupiter is a gas giant famous for its Great Red Spot, a storm larger than Earth that has raged for centuries.\n\n6. **Saturn** \u2014 Best known for its stunning ring system made of ice and rock, Saturn is a gas giant so light it could float in water.\n\n7. **Uranus** \u2014 An ice giant that rotates on its side, Uranus has a pale blue-green color caused by methane in its atmosphere.\n\n8. **Neptune** \u2014 The farthest planet from the Sun, Neptune is an ice giant with the fastest", + "# Processes vs. Threads\n\nA **process** is an independent program in execution with its own dedicated memory space, file descriptors, and system resources. When you open a web browser, that's a process; if you also open a text editor, that's a separate process. Processes are heavily isolated from one another\u2014the operating system enforces boundaries so that one process cannot directly access another's memory. This isolation makes processes safer and more stable (a crash in one process doesn't bring down others), but it also makes communication between them more expensive, requiring mechanisms like pipes, sockets, or shared memory segments.\n\nA **thread**, by contrast, is an execution unit *within* a process. Multiple threads can exist inside a single process, and they share that process's memory, open files, and resources. Each thread has its own small, private context\u2014such as a program counter, register values, and stack\u2014but the heap and global variables are common to all threads in the process. This shared state makes threads lightweight: creating a thread is much faster than spawning a process, and switching between threads incurs less overhead. It also makes communication easy, since threads can simply read and write shared data directly.\n\nThe trade-off between the two comes down to isolation versus efficiency.", + "# Library Database Schema\n\n```sql\n-- ============================================\n-- LIBRARY MANAGEMENT SYSTEM SCHEMA\n-- ============================================\n\n-- Books table: stores information about each book title/copy\nCREATE TABLE books (\n book_id INT AUTO_INCREMENT PRIMARY KEY, -- Unique identifier for each book\n title VARCHAR(255) NOT NULL, -- Book title\n author VARCHAR(255) NOT NULL, -- Author name\n isbn VARCHAR(13) UNIQUE, -- International Standard Book Number\n genre VARCHAR(100), -- Genre/category (e.g., Fiction, Science)\n published_year INT, -- Year the book was published\n total_copies INT NOT NULL DEFAULT 1, -- Total copies owned by the library\n available_copies INT NOT NULL DEFAULT 1, -- Copies currently available for loan\n created_at TIMESTAMP DEFAULT CURRENT_TIMESTAMP -- Record creation time\n);\n\n-- Members table: stores library members\nCREATE TABLE members (\n member_id INT AUTO_INCREMENT PRIMARY KEY, -- Unique identifier for each member\n first_name VARCHAR(100) NOT NULL, -- Member's first name\n last_name VARCHAR(100) NOT NULL, -- Member's last name" + ], + "c4a": [ + "```python\nRED = True\nBLACK = False\n\n\nclass Node:\n def __init__(self, key, color=RED, left=None, right=None, parent=None):\n self.key = key\n self.color = color\n self.left = left\n self.right = right\n self.parent = parent\n\n\nclass RedBlackTree:\n def __init__(self):\n self.NIL = Node(key=None, color=BLACK)\n self.root = self.NIL\n\n # ---------- rotations ----------\n def _left_rotate(self, x):\n y = x.right\n x.right = y.left\n if y.left != self.NIL:\n y.left.parent = x\n y.parent = x.parent\n if x.parent == self.NIL:\n self.root = y\n elif x == x.parent.left:\n x.parent.left = y\n else:\n x.parent.right = y\n y.left = x\n x.parent = y\n\n def _right_rotate(self, x):\n y = x.left\n x.left = y.right\n if y.right != self.NIL:\n y.right.parent = x\n y.parent = x.parent\n if x.parent ==", + "# The Planets in Order from the Sun\n\n1. **Mercury** \u2014 The smallest planet and closest to the Sun, Mercury has extreme temperature swings between its scorching days and freezing nights.\n\n2. **Venus** \u2014 Wrapped in thick clouds of carbon dioxide, Venus is the hottest planet in the solar system due to a runaway greenhouse effect.\n\n3. **Earth** \u2014 The only known planet to support life, Earth is covered mostly by liquid water and has a single large moon.\n\n4. **Mars** \u2014 The \"Red Planet\" gets its color from iron oxide dust and features the tallest volcano in the solar system, Olympus Mons.\n\n5. **Jupiter** \u2014 The largest planet, Jupiter is a gas giant famous for its Great Red Spot, a storm larger than Earth that has raged for centuries.\n\n6. **Saturn** \u2014 Best known for its stunning ring system made of ice and rock, Saturn is a gas giant so light it could float in water.\n\n7. **Uranus** \u2014 An ice giant that rotates on its side, Uranus has a pale blue-green color caused by methane in its atmosphere.\n\n8. **Neptune** \u2014 The farthest planet from the Sun, Neptune is an ice giant with the fastest", + "# Processes vs. Threads\n\nA **process** is an independent program in execution with its own dedicated memory space, file descriptors, and system resources. When you open a web browser, that's a process; if you also open a text editor, that's a separate process. Processes are heavily isolated from one another\u2014the operating system enforces boundaries so that one process cannot directly access another's memory. This isolation makes processes safer and more stable (a crash in one process doesn't bring down others), but it also makes communication between them more expensive, requiring mechanisms like pipes, sockets, or shared memory segments.\n\nA **thread**, by contrast, is an execution unit *within* a process. Multiple threads can exist inside a single process, and they share that process's memory, open files, and resources. Each thread has its own small, private context\u2014such as a program counter, register values, and stack\u2014but the heap and global variables are common to all threads in the process. This shared state makes threads lightweight: creating a thread is much faster than spawning a process, and switching between threads incurs less overhead. It also makes communication easy, since threads can simply read and write shared data directly.\n\nThe trade-off between the two comes down to isolation versus efficiency.", + "# Library Database Schema\n\n```sql\n-- ============================================\n-- LIBRARY MANAGEMENT SYSTEM SCHEMA\n-- ============================================\n\n-- Books table: stores information about each book title/copy\nCREATE TABLE books (\n book_id INT AUTO_INCREMENT PRIMARY KEY, -- Unique identifier for each book\n title VARCHAR(255) NOT NULL, -- Book title\n author VARCHAR(255) NOT NULL, -- Author name\n isbn VARCHAR(13) UNIQUE, -- International Standard Book Number\n genre VARCHAR(100), -- Genre/category (e.g., Fiction, Science)\n published_year INT, -- Year the book was published\n total_copies INT NOT NULL DEFAULT 1, -- Total copies owned by the library\n available_copies INT NOT NULL DEFAULT 1, -- Copies currently available for loan\n created_at TIMESTAMP DEFAULT CURRENT_TIMESTAMP -- Record creation time\n);\n\n-- Members table: stores library members\nCREATE TABLE members (\n member_id INT AUTO_INCREMENT PRIMARY KEY, -- Unique identifier for each member\n first_name VARCHAR(100) NOT NULL, -- Member's first name\n last_name VARCHAR(100) NOT NULL, -- Member's last name" + ], + "c4b": [ + "```python\nRED = True\nBLACK = False\n\n\nclass Node:\n def __init__(self, key, color=RED, left=None, right=None, parent=None):\n self.key = key\n self.color = color\n self.left = left\n self.right = right\n self.parent = parent\n\n\nclass RedBlackTree:\n def __init__(self):\n self.NIL = Node(key=None, color=BLACK)\n self.root = self.NIL\n\n # ---------- rotations ----------\n def _left_rotate(self, x):\n y = x.right\n x.right = y.left\n if y.left != self.NIL:\n y.left.parent = x\n y.parent = x.parent\n if x.parent == self.NIL:\n self.root = y\n elif x == x.parent.left:\n x.parent.left = y\n else:\n x.parent.right = y\n y.left = x\n x.parent = y\n\n def _right_rotate(self, x):\n y = x.left\n x.left = y.right\n if y.right != self.NIL:\n y.right.parent = x\n y.parent = x.parent\n if x.parent ==", + "# The Planets in Order from the Sun\n\n1. **Mercury** \u2014 The smallest planet and closest to the Sun, Mercury has extreme temperature swings between its scorching days and freezing nights.\n\n2. **Venus** \u2014 Wrapped in thick clouds of carbon dioxide, Venus is the hottest planet in the solar system due to a runaway greenhouse effect.\n\n3. **Earth** \u2014 The only known planet to support life, Earth is covered mostly by liquid water and has a single large moon.\n\n4. **Mars** \u2014 The \"Red Planet\" gets its color from iron oxide dust and features the tallest volcano in the solar system, Olympus Mons.\n\n5. **Jupiter** \u2014 The largest planet, Jupiter is a gas giant famous for its Great Red Spot, a storm larger than Earth that has raged for centuries.\n\n6. **Saturn** \u2014 Best known for its stunning ring system made of ice and rock, Saturn is a gas giant so light it could float in water.\n\n7. **Uranus** \u2014 An ice giant that rotates on its side, Uranus has a pale blue-green color caused by methane in its atmosphere.\n\n8. **Neptune** \u2014 The farthest planet from the Sun, Neptune is an ice giant with the fastest", + "# Processes vs. Threads\n\nA **process** is an independent program in execution with its own dedicated memory space, file descriptors, and system resources. When you open a web browser, that's a process; if you also open a text editor, that's a separate process. Processes are heavily isolated from one another\u2014the operating system enforces boundaries so that one process cannot directly access another's memory. This isolation makes processes safer and more stable (a crash in one process doesn't bring down others), but it also makes communication between them more expensive, requiring mechanisms like pipes, sockets, or shared memory segments.\n\nA **thread**, by contrast, is an execution unit *within* a process. Multiple threads can exist inside a single process, and they share that process's memory, open files, and resources. Each thread has its own small, private context\u2014such as a program counter, register values, and stack\u2014but the heap and global variables are common to all threads in the process. This shared state makes threads lightweight: creating a thread is much faster than spawning a process, and switching between threads incurs less overhead. It also makes communication easy, since threads can simply read and write shared data directly.\n\nThe trade-off between the two comes down to isolation versus efficiency.", + "# Library Database Schema\n\n```sql\n-- ============================================\n-- LIBRARY MANAGEMENT SYSTEM SCHEMA\n-- ============================================\n\n-- Books table: stores information about each book title/copy\nCREATE TABLE books (\n book_id INT AUTO_INCREMENT PRIMARY KEY, -- Unique identifier for each book\n title VARCHAR(255) NOT NULL, -- Book title\n author VARCHAR(255) NOT NULL, -- Author name\n isbn VARCHAR(13) UNIQUE, -- International Standard Book Number\n genre VARCHAR(100), -- Genre/category (e.g., Fiction, Science)\n published_year INT, -- Year the book was published\n total_copies INT NOT NULL DEFAULT 1, -- Total copies owned by the library\n available_copies INT NOT NULL DEFAULT 1, -- Copies currently available for loan\n created_at TIMESTAMP DEFAULT CURRENT_TIMESTAMP -- Record creation time\n);\n\n-- Members table: stores library members\nCREATE TABLE members (\n member_id INT AUTO_INCREMENT PRIMARY KEY, -- Unique identifier for each member\n first_name VARCHAR(100) NOT NULL, -- Member's first name\n last_name VARCHAR(100) NOT NULL, -- Member's last name" + ], + "c4a_eq_c1": [ + true, + true, + true, + true + ], + "c4b_eq_c1": [ + true, + true, + true, + true + ], + "c4a_eq_c4b": [ + true, + true, + true, + true + ] + } +} \ No newline at end of file diff --git a/results/2026-10-09-rc2/raw/rc2.log b/results/2026-10-09-rc2/raw/rc2.log new file mode 100644 index 0000000..1cd6af3 --- /dev/null +++ b/results/2026-10-09-rc2/raw/rc2.log @@ -0,0 +1,46 @@ +4.0K /home/user/atlas-nvme/kv 4.0K /home/user/atlas-nvme/ssm +== rc_fast up: 47067 blocks × 16 tok/block = 753072 max KV tokens +[+13 min] fast up +[fast-rc] 22/24 answers correct; TTFT median: turn 1 10.51 s, turn 2 0.81 s, turn 3 3.15 s; prompt tokens [25476, 25531, 25543, 25553, 25567, 25575, 25607] +[fast-rc] rank 0: fast I/O, records released, pool 7500 blocks; 16 restores, ms [42.3, 41.7, 39.6, 42.5, 44.1, 45.4, 43.1, 45.2, 45.0, 44.1, 44.4, 48.4, 37.6, 46.9, 37.6, 46.1]; median 27.7 us/block, read 5031 MB/s, flush 1.1 ms, writer wait 8.4 ms, 13.6 blocks/scatter run, 12.4 blocks/gather run; s +wrote /home/user/sparkglm-dev/port-nvme-fast-rc.json (154 s) +[+16 min] fast probe +rank0 errors: 1 rank1 errors: 5 +4.0K /home/user/atlas-nvme/kv 4.0K /home/user/atlas-nvme/ssm +logprob hash {'off': ['246cd1331b41', '246cd1331b41'], 'warm': ['246cd1331b41', '246cd1331b41']} IDENTICAL +== lossless warm fast +(pair outputs byte-identical across arms: 2 of 2 — informational, they decode side by side) + + PASS the reference is a `warm` arm, the candidate a tier arm — fast-rc vs warm-rc + PASS [warm-rc] no tier, and a pool that is not capped: nothing was evicted — tier False, 0 restores, capped False + PASS [fast-rc] the tier restored (its own restore lines) — 16 restore lines + PASS the two arms used the same documents — 1089 vs 1089 lines + PASS turn-1 prompts identical across arms (token counts) + PASS [warm-rc] every warm turn hit the cache (resident) + PASS [warm-rc] no 'no SSM snapshot', no rank disagreement, no F83 cap + PASS turn 1 (cold in both arms) is byte-identical: the pair is deterministic from start to start + PASS turn2: all 8 outputs byte-identical to the resident arm's (first restore) + PASS turn3: all 4 outputs byte-identical to the resident arm's (second restore; 400 generated tokens) + PASS turn 4 (third restore): the same tokens, every logprob within 0.05 of the resident arm's — largest difference 0.0000; 2 of 2 requests bit-equal + +VERDICT: GO (lossless: fast-rc vs warm-rc) +== restores per rank +rank0: 16 restores; 32800 spills; rank-agree 0 +rank1: 16 restores; 32800 spills; rank-agree 0 +RC-DONE +== s0_rc2 up: 57260 blocks × 16 tok/block = 916160 max KV tokens agree on 57100 +== spark-rc2-f2b805e7 +REPRODUCIBLE rc2-spark-rc2-f2b805e7 +hash ['246cd1331b41'] +{"arm": "rc2-spark-rc2-f2b805e7", "code-c1": 54.6, "code-c2": 71.3, "code-c4": 87.7, "prose-c1": 42.2, "prose-c2": 53.9, "prose-c4": 65.4, "c4a==c1": [true, true, true, true], "c4b==c1": [true, true, true, true], "c4a==c4b": [true, true, true, true]} +AB-DONE rc2 +== s0_bv1q up: 57093 blocks × 16 tok/block = 913488 max KV tokens +== spark-rel-3d795 +REPRODUCIBLE rc2base-spark-rel-3d795 +hash ['de6a323e9085'] +{"arm": "rc2base-spark-rel-3d795", "code-c1": 52.9, "code-c2": 71.7, "code-c4": 87.1, "prose-c1": 43.6, "prose-c2": 53.4, "prose-c4": 65.7, "c4a==c1": [false, false, false, false], "c4b==c1": [false, false, false, false], "c4a==c4b": [false, false, false, false]} +AB-DONE rc2base +== s0_rc2 up: 57233 blocks × 16 tok/block = 915728 max KV tokens +rc2 arith: 491/500 = 98.2% (95% ±1.2 pts); errors 0 +rc2 needle: 24/24 = 100.0% (95% ±0.0 pts); errors 0 +RC2-DONE diff --git a/results/2026-10-09-rc2/raw/rc2base-spark-rel-3d795.json b/results/2026-10-09-rc2/raw/rc2base-spark-rel-3d795.json new file mode 100644 index 0000000..d9303c2 --- /dev/null +++ b/results/2026-10-09-rc2/raw/rc2base-spark-rel-3d795.json @@ -0,0 +1,49 @@ +{ + "arm": "rc2base-spark-rel-3d795", + "speed": { + "code-c1": 52.9, + "code-c2": 71.7, + "code-c4": 87.1, + "prose-c1": 43.6, + "prose-c2": 53.4, + "prose-c4": 65.7 + }, + "exact": { + "c1": [ + "```python\nimport sys\n\nRED = True\nBLACK = False\n\nclass Node:\n def __init__(self, key, color=RED, parent=None, left=None, right=None):\n self.key = key\n self.color = color\n self.parent = parent\n self.left = left\n self.right = right\n\nclass RedBlackTree:\n def __init__(self):\n self.NIL = Node(key=None, color=BLACK)\n self.root = self.NIL\n\n # ---------- Search ----------\n def search(self, key):\n node = self.root\n while node is not self.NIL and key != node.key:\n node = self.left if key < node.key else node.right\n return node if node is not self.NIL else None\n\n # ---------- Rotations ----------\n def _left_rotate(self, x):\n y = x.right\n x.right = y.left\n if y.left is not self.NIL:\n y.left.parent = x\n y.parent = x.parent\n if x.parent is None:\n self.root = y\n elif x is x.parent.left:\n x.parent.left = y\n else:\n x.parent.right = y\n", + "# The Planets in Order from the Sun\n\n1. **Mercury** \u2014 The smallest planet and closest to the Sun, Mercury has extreme temperature swings between its scorching days and freezing nights.\n\n2. **Venus** \u2014 Wrapped in thick clouds of carbon dioxide, Venus is the hottest planet in the solar system due to a runaway greenhouse effect.\n\n3. **Earth** \u2014 The only known planet to support life, Earth is covered mostly by liquid water and has a single large moon.\n\n4. **Mars** \u2014 The \"Red Planet\" gets its color from iron oxide on its surface and is home to the tallest volcano in the solar system, Olympus Mons.\n\n5. **Jupiter** \u2014 The largest planet, Jupiter is a gas giant famous for its Great Red Spot, a storm larger than Earth that has raged for centuries.\n\n6. **Saturn** \u2014 Best known for its stunning ring system made of ice and rock, Saturn is a gas giant so light it could float in water.\n\n7. **Uranus** \u2014 An ice giant that rotates on its side, Uranus has a pale blue-green color caused by methane in its atmosphere.\n\n8. **Neptune** \u2014 The farthest planet from the Sun, Neptune is the wind", + "# Processes vs. Threads\n\nA **process** is an independent program in execution with its own dedicated memory space, file descriptors, and system resources. When you open a web browser, that's a process\u2014it has its own address space containing its code, data, and stack. Processes are isolated from one another, meaning one process cannot directly access the memory of another. This isolation provides safety and stability: if one process crashes, it doesn't bring down others. However, this isolation comes at a cost\u2014processes are relatively expensive to create and switch between, and communication between them (inter-process communication, or IPC) requires mechanisms like pipes, sockets, or shared memory segments.\n\nA **thread**, by contrast, is an execution unit *within* a process. Multiple threads can exist inside a single process, and they share that process's memory, open files, and resources. Each thread has its own stack and program counter, but the heap and global data are common to all threads in the process. This shared memory makes threads lightweight and fast to create, and it enables efficient communication\u2014threads can simply read and write shared variables. The tradeoff is risk: because threads share memory, one thread can corrupt data used by others, and a crash in one thread can", + "# Library Database Schema\n\n```sql\n-- ============================================\n-- LIBRARY MANAGEMENT SYSTEM SCHEMA\n-- ============================================\n\n-- Books table: stores information about each book title/copy\nCREATE TABLE books (\n book_id INT AUTO_INCREMENT PRIMARY KEY, -- Unique identifier for each book\n title VARCHAR(255) NOT NULL, -- Book title\n author VARCHAR(255) NOT NULL, -- Author name\n isbn VARCHAR(13) UNIQUE, -- International Standard Book Number\n genre VARCHAR(100), -- Category/genre of the book\n published_year YEAR, -- Year the book was published\n total_copies INT DEFAULT 1, -- Total copies owned by the library\n available_copies INT DEFAULT 1, -- Copies currently available for loan\n created_at TIMESTAMP DEFAULT CURRENT_TIMESTAMP -- Record creation time\n);\n\n-- Members table: stores library members\nCREATE TABLE members (\n member_id INT AUTO_INCREMENT PRIMARY KEY, -- Unique identifier for each member\n first_name VARCHAR(100) NOT NULL, -- Member's first name\n last_name VARCHAR(100) NOT NULL, -- Member's last name\n email VARCHAR(" + ], + "c4a": [ + "```python\nimport sys\n\nRED = True\nBLACK = False\n\nclass Node:\n def __init__(self, key, color=RED, left=None, right=None, parent=None):\n self.key = key\n self.color = color\n self.left = left\n self.right = right\n self.parent = parent\n\nclass RedBlackTree:\n def __init__(self):\n self.NIL = Node(key=None, color=BLACK)\n self.root = self.NIL\n\n # ---------- Rotations ----------\n def _left_rotate(self, x):\n y = x.right\n x.right = y.left\n if y.left != self.NIL:\n y.left.parent = x\n y.parent = x.parent\n if x.parent == self.NIL:\n self.root = y\n elif x == x.parent.left:\n x.parent.left = y\n else:\n x.parent.right = y\n y.left = x\n x.parent = y\n\n def _right_rotate(self, x):\n y = x.left\n x.left = y.right\n if y.right != self.NIL:\n y.right.parent = x\n y.parent = x.parent\n ", + "# The Planets in Order from the Sun\n\n1. **Mercury** \u2014 The smallest planet and closest to the Sun, Mercury has extreme temperature swings between its scorching days and freezing nights.\n\n2. **Venus** \u2014 Wrapped in thick clouds of carbon dioxide, Venus is the hottest planet in the solar system and rotates backwards compared to most other planets.\n\n3. **Earth** \u2014 The only known planet to support life, Earth is covered mostly by liquid water and has a single large moon.\n\n4. **Mars** \u2014 The \"Red Planet\" gets its color from iron oxide dust and features the tallest volcano in the solar system, Olympus Mons.\n\n5. **Jupiter** \u2014 The largest planet of all, Jupiter is a gas giant famous for its Great Red Spot, a storm larger than Earth that has raged for centuries.\n\n6. **Saturn** \u2014 Best known for its stunning ring system made of ice and rock, Saturn is a gas giant so light it could theoretically float in water.\n\n7. **Uranus** \u2014 An ice giant that rotates on its side, Uranus has a pale blue-green color caused by methane in its atmosphere.\n\n8. **Neptune** \u2014 The farthest planet from the Sun, Neptune is the", + "# Processes vs. Threads\n\nA **process** is an independent program in execution with its own dedicated memory space, file descriptors, and system resources. When you open a web browser, that's a process; if you also open a text editor, that's a separate process. Processes are isolated from one another by the operating system, meaning one process cannot directly access another's memory. This isolation provides safety and stability\u2014if one process crashes, it typically doesn't bring down others\u2014but it also makes communication between processes more involved, requiring mechanisms like pipes, sockets, or shared memory files (inter-process communication, or IPC).\n\nA **thread**, by contrast, is a unit of execution *within* a process. Multiple threads can exist inside a single process, and they share that process's memory, open files, and resources. Each thread has its own stack and program counter, but the heap and global variables are common to all threads in the process. This shared memory makes threads lightweight and fast to create, and it enables efficient communication\u2014threads can simply read and write shared data. However, this convenience comes with risk: threads must be carefully synchronized (using locks, mutexes, etc.) to avoid race conditions, and if one thread crashes or corrupts shared memory, the", + "# Library Database Schema\n\n```sql\n-- =============================================\n-- LIBRARY MANAGEMENT SYSTEM SCHEMA\n-- =============================================\n\n-- Authors table: stores author information\nCREATE TABLE authors (\n author_id INT AUTO_INCREMENT PRIMARY KEY, -- Unique identifier\n first_name VARCHAR(50) NOT NULL, -- Author's first name\n last_name VARCHAR(50) NOT NULL, -- Author's last name\n birth_year INT, -- Year of birth (optional)\n biography TEXT -- Short author bio\n);\n\n-- Books table: stores book details\nCREATE TABLE books (\n book_id INT AUTO_INCREMENT PRIMARY KEY, -- Unique identifier\n title VARCHAR(255) NOT NULL, -- Book title\n isbn VARCHAR(13) UNIQUE, -- International Standard Book Number\n author_id INT, -- Reference to the author\n genre VARCHAR(50), -- e.g., Fiction, Science, History\n total_copies INT NOT NULL DEFAULT 1, -- Total copies owned by the library\n available_copies INT NOT NULL DEFAULT 1, -- Copies currently available\n published_year INT, -- Year the book was published\n FOREIGN KEY (" + ], + "c4b": [ + "```python\nRED = 0\nBLACK = 1\n\n\nclass Node:\n def __init__(self, key, color=RED, parent=None):\n self.key = key\n self.color = color\n self.left = None\n self.right = None\n self.parent = parent\n\n\nclass RedBlackTree:\n def __init__(self):\n self.NIL = Node(None, BLACK)\n self.root = self.NIL\n\n # ---------- Search helpers ----------\n def _minimum(self, node):\n while node.left is not self.NIL:\n node = node.left\n return node\n\n def _find(self, key):\n node = self.root\n while node is not self.NIL:\n if key == node.key:\n return node\n node = node.left if key < node.key else node.right\n return None\n\n # ---------- Rotations ----------\n def _left_rotate(self, x):\n y = x.right\n x.right = y.left\n if y.left is not self.NIL:\n y.left.parent = x\n y.parent = x.parent\n if x.parent is None:\n self.root = y\n elif x is x.parent.left:\n", + "# The Planets in Order from the Sun\n\n1. **Mercury** \u2014 The smallest planet and closest to the Sun, Mercury has extreme temperature swings between its scorching days and freezing nights.\n\n2. **Venus** \u2014 Wrapped in thick clouds of carbon dioxide, Venus is the hottest planet in the solar system and rotates backwards compared to most other planets.\n\n3. **Earth** \u2014 The only known planet to support life, Earth is covered mostly by liquid water and has a single large moon.\n\n4. **Mars** \u2014 The \"Red Planet\" gets its color from iron oxide dust and is home to the tallest volcano in the solar system, Olympus Mons.\n\n5. **Jupiter** \u2014 The largest planet of all, Jupiter is a gas giant famous for its Great Red Spot, a storm larger than Earth that has raged for centuries.\n\n6. **Saturn** \u2014 Best known for its stunning system of icy rings, Saturn is a gas giant so light it could theoretically float in water.\n\n7. **Uranus** \u2014 An ice giant that rotates on its side, Uranus has a pale blue-green color caused by methane in its atmosphere.\n\n8. **Neptune** \u2014 The farthest planet from the Sun, Neptune is the wind", + "# Processes vs. Threads\n\nA **process** is an independent program in execution with its own dedicated memory space, file handles, and system resources. When you open a web browser, a text editor, or a music player, each one runs as a separate process. The operating system isolates processes from one another, so if one process crashes or misbehaves, it generally cannot corrupt the memory of another process. This isolation makes processes safer but also heavier\u2014creating a process requires allocating a new memory space, and switching between processes is relatively expensive for the operating system.\n\nA **thread**, by contrast, is a unit of execution *within* a process. Multiple threads can exist inside a single process, and they share that process's memory, open files, and resources. This shared environment makes threads lightweight and fast to create, and communication between threads is easy because they can directly read and write the same variables. However, this sharing comes with risk: if one thread corrupts shared data or crashes, it can affect the entire process, and developers must carefully synchronize thread access to shared data (using locks, for example) to avoid race conditions.\n\nIn practice, the choice between processes and threads involves a trade-off. Threads are ideal when tasks need to share data frequently", + "# Library Database Schema\n\n```sql\n-- =============================================\n-- LIBRARY MANAGEMENT SYSTEM SCHEMA\n-- =============================================\n\n-- Authors table: stores author information\nCREATE TABLE authors (\n author_id INT AUTO_INCREMENT PRIMARY KEY, -- Unique identifier\n first_name VARCHAR(50) NOT NULL, -- Author's first name\n last_name VARCHAR(50) NOT NULL, -- Author's last name\n birth_year INT, -- Year of birth (optional)\n biography TEXT -- Short author bio\n);\n\n-- Books table: stores book details\nCREATE TABLE books (\n book_id INT AUTO_INCREMENT PRIMARY KEY, -- Unique identifier\n title VARCHAR(255) NOT NULL, -- Book title\n isbn VARCHAR(13) UNIQUE, -- International Standard Book Number\n author_id INT, -- Reference to the author\n genre VARCHAR(50), -- e.g., Fiction, Science, History\n publication_year INT, -- Year the book was published\n total_copies INT NOT NULL DEFAULT 1, -- Total copies owned by the library\n available_copies INT NOT NULL DEFAULT 1, -- Copies currently available for loan\n created" + ], + "c4a_eq_c1": [ + false, + false, + false, + false + ], + "c4b_eq_c1": [ + false, + false, + false, + false + ], + "c4a_eq_c4b": [ + false, + false, + false, + false + ] + } +} \ No newline at end of file diff --git a/results/2026-10-09-rc2/raw/rig-conc.json b/results/2026-10-09-rc2/raw/rig-conc.json new file mode 100644 index 0000000..cf4f56c --- /dev/null +++ b/results/2026-10-09-rc2/raw/rig-conc.json @@ -0,0 +1,19106 @@ +{ + "concurrency": { + "1": { + "aggregate_end_to_end_tokens_per_second": { + "maximum": 48.138, + "median": 47.707, + "minimum": 47.277, + "p90": 48.138 + }, + "per_stream_decode_tokens_per_second": { + "maximum": 55.414, + "median": 54.876, + "minimum": 54.338, + "p90": 55.414 + }, + "per_stream_ttft_seconds": { + "maximum": 0.719, + "median": 0.716, + "minimum": 0.713, + "p90": 0.719 + }, + "rounds": [ + { + "aggregate_end_to_end_tokens_per_second": 47.277, + "completion_tokens": 256, + "round": 1, + "streams": [ + { + "completion_tokens": 256, + "decode_seconds": 4.692814, + "decode_tokens_per_second": 54.338, + "finish_reason": "length", + "measured_sse_events": 255, + "output": "```go\n// ratelimit.go\npackage ratelimit\n\nimport (\n\t\"errors\"\n\t\"fmt\"\n\t\"sync\"\n\t\"time\"\n)\n\n// Clock abstracts time for testability.\ntype Clock interface {\n\tNow() time.Time\n}\n\ntype realClock struct{}\n\nfunc (realClock) Now() time.Time { return time.Now() }\n\n// RealClock returns a Clock backed by the wall clock.\nfunc RealClock() Clock { return realClock{} }\n\n// Limiter is a concurrency-safe token-bucket rate limiter.\n// A zero Limiter is not usable; construct with NewLimiter.\ntype Limiter struct {\n\tmu sync.Mutex\n\trate float64 // tokens per second\n\tburst float64 // bucket capacity\n\ttokens float64 // current tokens\n\tlast time.Time // last refill time\n\tclock Clock\n}\n\n// NewLimiter creates a Limiter refilling at rate tokens/second with\n// capacity burst. rate must be > 0 and burst must be >= 1.\nfunc NewLimiter(rate float64, burst int, clock Clock) (*Limiter, error) {\n\tif rate <= 0 {\n\t\treturn nil, fmt.Errorf(\"rate must be", + "output_characters": 956, + "output_sha256": "767e480d2f2122ed06360b2b768975445d84b60eb94560532d220d07bf7f6a9f", + "prompt_tokens": 133, + "reasoning_characters": 27, + "reasoning_sha256": "0b3acc8403ec469b09b04be516f98e059799ba61dabe4c94250bbf24a6f23331", + "response_tail_seconds": 0.002273, + "stream_done_marker": true, + "stream_sha256": "7dd10c43185a56c672e44cae0b5e372df41998f0c7fb7526e64e4a8c12e46a5e", + "time_to_first_visible_seconds": 0.910762, + "time_to_last_output_seconds": 5.411959, + "ttft_seconds": 0.719145, + "wall_seconds": 5.414232 + } + ], + "wall_seconds": 5.414871 + }, + { + "aggregate_end_to_end_tokens_per_second": 48.138, + "completion_tokens": 256, + "round": 2, + "streams": [ + { + "completion_tokens": 256, + "decode_seconds": 4.60171, + "decode_tokens_per_second": 55.414, + "finish_reason": "length", + "measured_sse_events": 255, + "output": "**ratelimit.go**\n```go\n// Package ratelimit implements a concurrency-safe token-bucket rate limiter.\npackage ratelimit\n\nimport (\n\t\"errors\"\n\t\"fmt\"\n\t\"sync\"\n\t\"time\"\n)\n\n// Clock reports the current time. It is an injection point for tests.\ntype Clock interface {\n\tNow() time.Time\n}\n\ntype realClock struct{}\n\nfunc (realClock) Now() time.Time { return time.Now() }\n\n// Limiter is a concurrency-safe token-bucket rate limiter. The zero value is\n// not usable; construct with New.\ntype Limiter struct {\n\tmu sync.Mutex\n\trate float64 // tokens per second\n\tburst float64 // bucket capacity\n\ttokens float64 // current tokens\n\tlast time.Time // last refill time\n\tclock Clock\n}\n\n// New returns a Limiter that refills at rate tokens per second, up to burst.\n// Both rate and burst must be > 0.\nfunc New(rate float64, burst int, clock Clock) (*Limiter, error) {\n\tif rate <= 0 {\n\t\treturn nil, fmt.Errorf(\"rate must be > 0, got %v\", rate)\n\t", + "output_characters": 950, + "output_sha256": "403b224e207a1383f15f14f8eaa98226cf15a85fe335ff74feadfc0570727f2c", + "prompt_tokens": 133, + "reasoning_characters": 22, + "reasoning_sha256": "af6f043f26025000aeb3ba955cd4e01df3f98b893747d92a1b99562b764fc47e", + "response_tail_seconds": 0.002422, + "stream_done_marker": true, + "stream_sha256": "b3ca56a0933cc92719eea3ebcb47be923ab50c4f8b12594ef67990cc5e002ba9", + "time_to_first_visible_seconds": 0.90107, + "time_to_last_output_seconds": 5.31511, + "ttft_seconds": 0.7134, + "wall_seconds": 5.317532 + } + ], + "wall_seconds": 5.318069 + } + ] + }, + "2": { + "aggregate_end_to_end_tokens_per_second": { + "maximum": 55.446, + "median": 55.161, + "minimum": 54.876, + "p90": 55.446 + }, + "per_stream_decode_tokens_per_second": { + "maximum": 36.992, + "median": 32.197, + "minimum": 29.619, + "p90": 36.992 + }, + "per_stream_ttft_seconds": { + "maximum": 1.507, + "median": 1.072, + "minimum": 0.713, + "p90": 1.507 + }, + "rounds": [ + { + "aggregate_end_to_end_tokens_per_second": 54.876, + "completion_tokens": 512, + "round": 1, + "streams": [ + { + "completion_tokens": 256, + "decode_seconds": 6.893319, + "decode_tokens_per_second": 36.992, + "finish_reason": "length", + "measured_sse_events": 255, + "output": "```go\n// ratelimit.go\npackage ratelimit\n\nimport (\n\t\"errors\"\n\t\"fmt\"\n\t\"sync\"\n\t\"time\"\n)\n\n// Clock abstracts time for testability.\ntype Clock interface {\n\tNow() time.Time\n}\n\ntype realClock struct{}\n\nfunc (realClock) Now() time.Time { return time.Now() }\n\n// RealClock returns a Clock backed by the system clock.\nfunc RealClock() Clock { return realClock{} }\n\n// Limiter is a concurrency-safe token-bucket rate limiter.\ntype Limiter struct {\n\tmu sync.Mutex\n\trate float64 // tokens per second\n\tburst float64 // bucket capacity\n\ttokens float64\n\tlastTime time.Time\n\tclock Clock\n}\n\n// New creates a Limiter that refills at rate tokens per second with\n// capacity burst. Both must be > 0.\nfunc New(rate float64, burst int, clock Clock) (*Limiter, error) {\n\tif rate <= 0 {\n\t\treturn nil, fmt.Errorf(\"rate must be > 0, got %v\", rate)\n\t}\n\tif burst <= 0 {\n\t\treturn nil, fmt.Errorf(\"burst must be > 0, got %d\", burst)\n\t}\n\tif", + "output_characters": 926, + "output_sha256": "89b1f0aad357b7866d2428f012bfa4c33a4577f1a5634657feee0d5bda0f67ab", + "prompt_tokens": 134, + "reasoning_characters": 0, + "reasoning_sha256": "e3b0c44298fc1c149afbf4c8996fb92427ae41e4649b934ca495991b7852b855", + "response_tail_seconds": 0.007572, + "stream_done_marker": true, + "stream_sha256": "89b1f0aad357b7866d2428f012bfa4c33a4577f1a5634657feee0d5bda0f67ab", + "time_to_first_visible_seconds": 1.506824, + "time_to_last_output_seconds": 8.400142, + "ttft_seconds": 1.506824, + "wall_seconds": 8.407714 + }, + { + "completion_tokens": 256, + "decode_seconds": 8.609194, + "decode_tokens_per_second": 29.619, + "finish_reason": "length", + "measured_sse_events": 255, + "output": "```go\n// ratelimit.go\npackage ratelimit\n\nimport (\n\t\"errors\"\n\t\"math\"\n\t\"sync\"\n\t\"time\"\n)\n\n// Clock reports the current time. It is an interface so tests can inject a fake.\ntype Clock interface {\n\tNow() time.Time\n}\n\ntype realClock struct{}\n\nfunc (realClock) Now() time.Time { return time.Now() }\n\n// RealClock returns a Clock backed by time.Now.\nfunc RealClock() Clock { return realClock{} }\n\n// Limiter is a concurrency-safe token-bucket rate limiter.\n// The bucket holds at most Burst tokens and is refilled at Rate tokens per second.\n// A Limiter must be constructed with NewLimiter; the zero value is not usable.\ntype Limiter struct {\n\tmu sync.Mutex\n\tburst int // max tokens\n\trate float64 // tokens per second\n\ttokens float64 // current tokens\n\tlast time.Time // last refill time\n\tclock Clock\n}\n\n// NewLimiter creates a Limiter with the given burst size and refill rate\n// (tokens per second). The bucket starts full.\nfunc NewLimiter(burst int, rate float64, clock Clock", + "output_characters": 1006, + "output_sha256": "2210fa52e89deecb53dcad128d32932a9fe2e9d5fa451ec36e1705c682aca029", + "prompt_tokens": 134, + "reasoning_characters": 31, + "reasoning_sha256": "0b43e4ed336e57da5a7c92d31a4254d0a9a41023d9c266c81567fdeb7ede531d", + "response_tail_seconds": 0.002238, + "stream_done_marker": true, + "stream_sha256": "9c6e4a491ca81b169a30da55ac33e7395c40e7183f8085b1ccc4f772bb7e5054", + "time_to_first_visible_seconds": 1.740284, + "time_to_last_output_seconds": 9.326955, + "ttft_seconds": 0.717761, + "wall_seconds": 9.329193 + } + ], + "wall_seconds": 9.330108 + }, + { + "aggregate_end_to_end_tokens_per_second": 55.446, + "completion_tokens": 512, + "round": 2, + "streams": [ + { + "completion_tokens": 256, + "decode_seconds": 8.039184, + "decode_tokens_per_second": 31.72, + "finish_reason": "length", + "measured_sse_events": 255, + "output": "```go\n// ratelimit.go\npackage ratelimit\n\nimport (\n\t\"errors\"\n\t\"fmt\"\n\t\"sync\"\n\t\"time\"\n)\n\n// Clock abstracts time for testability.\ntype Clock interface {\n\tNow() time.Time\n}\n\ntype realClock struct{}\n\nfunc (realClock) Now() time.Time { return time.Now() }\n\n// Limiter is a concurrency-safe token-bucket rate limiter.\n// A zero-value Limiter is not usable; use New.\ntype Limiter struct {\n\tmu sync.Mutex\n\trate float64 // tokens per second\n\tburst float64 // bucket capacity\n\ttokens float64 // current tokens\n\tlast time.Time // last refill time\n\tclock Clock\n\tnowFn func() time.Time // convenience accessor\n}\n\n// New creates a Limiter that admits events at rate tokens per second,\n// with an initial burst capacity. rate must be > 0 and burst >= 1.\nfunc New(rate float64, burst int, clock Clock) (*Limiter, error) {\n\tif rate <= 0 {\n\t\treturn nil, fmt.Errorf(\"rate must be > 0, got %v\", rate)\n\t}\n\tif burst < ", + "output_characters": 933, + "output_sha256": "bf458be06b6bfc36aaa363dd203891d0c03bd640e664ea8dd02c490a3515c096", + "prompt_tokens": 132, + "reasoning_characters": 31, + "reasoning_sha256": "0b43e4ed336e57da5a7c92d31a4254d0a9a41023d9c266c81567fdeb7ede531d", + "response_tail_seconds": 0.007292, + "stream_done_marker": true, + "stream_sha256": "d11805d47255bf716666fa8d8339b268b4350636cf53dc012adf76a89128d156", + "time_to_first_visible_seconds": 1.738955, + "time_to_last_output_seconds": 8.752433, + "ttft_seconds": 0.713249, + "wall_seconds": 8.759725 + }, + { + "completion_tokens": 256, + "decode_seconds": 7.80458, + "decode_tokens_per_second": 32.673, + "finish_reason": "length", + "measured_sse_events": 255, + "output": "```go\n// ratelimit.go\npackage ratelimit\n\nimport (\n\t\"errors\"\n\t\"math\"\n\t\"sync\"\n\t\"time\"\n)\n\n// Clock provides the current time. time.Now satisfies it.\ntype Clock interface {\n\tNow() time.Time\n}\n\ntype realClock struct{}\n\nfunc (realClock) Now() time.Time { return time.Now() }\n\n// Limiter is a concurrency-safe token-bucket rate limiter.\n// Tokens refill continuously at rate tokens per second, up to burst capacity.\ntype Limiter struct {\n\tmu sync.Mutex\n\trate float64 // tokens per second\n\tburst float64 // max tokens\n\ttokens float64 // current tokens\n\tlast time.Time\n\tlastZero time.Time // last time tokens was zero\n\tclock Clock\n}\n\n// New creates a Limiter that starts full with burst tokens, refilling at rate\n// tokens per second. rate must be > 0 and burst must be >= 1.\nfunc New(rate float64, burst int) (*Limiter, error) {\n\treturn NewWithClock(rate, burst, realClock{})\n}\n\n// NewWithClock is New with an injectable Clock, for testing.\nfunc NewWithClock(rate float64", + "output_characters": 985, + "output_sha256": "87f5a8cc5c629583916f74b172dc1f53edd2ae1291801d4c7ee72128e9ff7ed1", + "prompt_tokens": 133, + "reasoning_characters": 31, + "reasoning_sha256": "0b43e4ed336e57da5a7c92d31a4254d0a9a41023d9c266c81567fdeb7ede531d", + "response_tail_seconds": 0.00234, + "stream_done_marker": true, + "stream_sha256": "94f0b2c109a8768676798287a5e57270af7c7884a484332ca121d6938a2ffd0b", + "time_to_first_visible_seconds": 1.738689, + "time_to_last_output_seconds": 9.231195, + "ttft_seconds": 1.426616, + "wall_seconds": 9.233535 + } + ], + "wall_seconds": 9.234236 + } + ] + }, + "3": { + "aggregate_end_to_end_tokens_per_second": { + "maximum": 65.951, + "median": 65.347, + "minimum": 64.744, + "p90": 65.951 + }, + "per_stream_decode_tokens_per_second": { + "maximum": 31.716, + "median": 25.82, + "minimum": 23.352, + "p90": 28.107 + }, + "per_stream_ttft_seconds": { + "maximum": 2.302, + "median": 1.548, + "minimum": 0.721, + "p90": 2.278 + }, + "rounds": [ + { + "aggregate_end_to_end_tokens_per_second": 65.951, + "completion_tokens": 768, + "round": 1, + "streams": [ + { + "completion_tokens": 256, + "decode_seconds": 9.483278, + "decode_tokens_per_second": 26.889, + "finish_reason": "length", + "measured_sse_events": 255, + "output": "**ratelimit.go**\n```go\n// Package ratelimit implements a concurrency-safe token-bucket rate limiter.\npackage ratelimit\n\nimport (\n\t\"errors\"\n\t\"sync\"\n\t\"time\"\n)\n\n// Clock abstracts time for testability.\ntype Clock interface {\n\tNow() time.Time\n}\n\ntype realClock struct{}\n\nfunc (realClock) Now() time.Time { return time.Now() }\n\n// Limiter is a concurrency-safe token-bucket rate limiter.\n// Tokens refill at rate tokens per second; capacity is the burst size.\ntype Limiter struct {\n\tmu sync.Mutex\n\ttokens float64\n\tlast time.Time\n\trate float64 // tokens per second\n\tcapacity float64\n\tclock Clock\n}\n\n// NewLimiter creates a Limiter with the given refill rate (tokens per second)\n// and burst capacity, starting full. rate and capacity must be > 0.\nfunc NewLimiter(rate, capacity float64) (*Limiter, error) {\n\treturn NewLimiterWithClock(rate, capacity, realClock{})\n}\n\n// NewLimiterWithClock is NewLimiter with an injectable clock.\nfunc NewLimiterWithClock(rate, capacity float64, clock Clock", + "output_characters": 1003, + "output_sha256": "5f4dac594f080eaf28b10f51e912e9551727896a4f172341d6126e0ab9b6f1af", + "prompt_tokens": 131, + "reasoning_characters": 22, + "reasoning_sha256": "af6f043f26025000aeb3ba955cd4e01df3f98b893747d92a1b99562b764fc47e", + "response_tail_seconds": 0.006891, + "stream_done_marker": true, + "stream_sha256": "8d3bdade80d55aef468591cb35c5c1c7400bc86b3a0ac3dbc597453beca3ed47", + "time_to_first_visible_seconds": 2.515076, + "time_to_last_output_seconds": 11.023561, + "ttft_seconds": 1.540283, + "wall_seconds": 11.030452 + }, + { + "completion_tokens": 256, + "decode_seconds": 8.040018, + "decode_tokens_per_second": 31.716, + "finish_reason": "length", + "measured_sse_events": 255, + "output": "```go\n// ratelimit.go\npackage ratelimit\n\nimport (\n\t\"errors\"\n\t\"sync\"\n\t\"time\"\n)\n\n// Clock reports the current time. It is injectable for testing.\ntype Clock interface {\n\tNow() time.Time\n}\n\ntype systemClock struct{}\n\nfunc (systemClock) Now() time.Time { return time.Now() }\n\n// SystemClock is the default real-time clock.\nvar SystemClock Clock = systemClock{}\n\n// Limiter is a concurrency-safe token-bucket rate limiter.\n// The bucket starts full with capacity tokens and refills at rate tokens/sec.\ntype Limiter struct {\n\tmu sync.Mutex\n\tcapacity int\n\trate float64 // tokens per second\n\ttokens float64\n\tlast time.Time\n\tclock Clock\n}\n\n// New creates a Limiter with the given burst capacity and refill rate\n// (tokens per second). The bucket starts full.\nfunc New(capacity int, rate float64, clock Clock) (*Limiter, error) {\n\tif capacity <= 0 {\n\t\treturn nil, errors.New(\"ratelimit: capacity must be > 0\")\n\t}\n\tif rate <= 0 {\n\t\treturn nil, errors.New(\"ratel", + "output_characters": 969, + "output_sha256": "0387f05d6280743562fccfac7cde0532bad2edfeddf23bc32005fbfbb2711faf", + "prompt_tokens": 131, + "reasoning_characters": 31, + "reasoning_sha256": "0b43e4ed336e57da5a7c92d31a4254d0a9a41023d9c266c81567fdeb7ede531d", + "response_tail_seconds": 0.008993, + "stream_done_marker": true, + "stream_sha256": "031e4c5adf678b2a134ef6ee42b1a34c157b21ccb3313e3684c206d87ade1372", + "time_to_first_visible_seconds": 2.514493, + "time_to_last_output_seconds": 10.317632, + "ttft_seconds": 2.277614, + "wall_seconds": 10.326625 + }, + { + "completion_tokens": 256, + "decode_seconds": 10.919911, + "decode_tokens_per_second": 23.352, + "finish_reason": "length", + "measured_sse_events": 255, + "output": "```go\n// ratelimit.go\npackage ratelimit\n\nimport (\n\t\"errors\"\n\t\"sync\"\n\t\"time\"\n)\n\n// Clock reports the current time. It is injectable for testing.\ntype Clock interface {\n\tNow() time.Time\n}\n\ntype systemClock struct{}\n\nfunc (systemClock) Now() time.Time { return time.Now() }\n\n// SystemClock is the default production clock.\nvar SystemClock Clock = systemClock{}\n\n// Limiter is a concurrency-safe token-bucket rate limiter.\n// Tokens refill continuously at rate tokens per second, up to Burst.\ntype Limiter struct {\n\tmu sync.Mutex\n\trate float64 // tokens per second\n\tburst float64 // bucket capacity\n\ttokens float64 // current tokens\n\tlastFill time.Time\n\tclock Clock\n}\n\n// NewLimiter creates a Limiter that emits rate tokens per second with\n// capacity burst. rate must be > 0 and burst must be >= 1.\nfunc NewLimiter(rate float64, burst int) (*Limiter, error) {\n\treturn NewLimiterWithClock(rate, burst, SystemClock)\n}\n\n// NewLimiterWithClock is like NewLimiter but uses the provided Clock.\n", + "output_characters": 1003, + "output_sha256": "8b627f46574f4f7f391328d719ef439258a8f495535dc12a03a51361706e14a3", + "prompt_tokens": 134, + "reasoning_characters": 31, + "reasoning_sha256": "0b43e4ed336e57da5a7c92d31a4254d0a9a41023d9c266c81567fdeb7ede531d", + "response_tail_seconds": 0.002706, + "stream_done_marker": true, + "stream_sha256": "cfe2d1ddb50a89c2ec1dac720a48463ea22a4152788cedc3e0d12348695747c0", + "time_to_first_visible_seconds": 2.514154, + "time_to_last_output_seconds": 11.641158, + "ttft_seconds": 0.721247, + "wall_seconds": 11.643864 + } + ], + "wall_seconds": 11.645021 + }, + { + "aggregate_end_to_end_tokens_per_second": 64.744, + "completion_tokens": 768, + "round": 2, + "streams": [ + { + "completion_tokens": 256, + "decode_seconds": 10.302377, + "decode_tokens_per_second": 24.752, + "finish_reason": "length", + "measured_sse_events": 255, + "output": "**ratelimit.go**\n```go\n// Package ratelimit implements a concurrency-safe token-bucket rate limiter.\npackage ratelimit\n\nimport (\n\t\"errors\"\n\t\"math\"\n\t\"sync\"\n\t\"time\"\n)\n\n// Clock abstracts time for testability.\ntype Clock interface {\n\tNow() time.Time\n}\n\ntype realClock struct{}\n\nfunc (realClock) Now() time.Time { return time.Now() }\n\n// Limiter is a concurrency-safe token-bucket rate limiter.\n// A Limiter must be created by New; the zero value is not usable.\ntype Limiter struct {\n\tmu sync.Mutex\n\ttokens float64\n\tlast time.Time\n\trate float64 // tokens per second\n\tburst float64\n\tclock Clock\n\tnowFn func() time.Time // fast path when clock is the real clock\n}\n\n// ErrInvalidConfig is returned by New for non-positive rate or burst.\nvar ErrInvalidConfig = errors.New(\"ratelimit: rate and burst must be > 0\")\n\n// New returns a Limiter with the given refill rate (tokens per second)\n// and burst capacity, fully filled at construction. If clock is nil,\n// the real clock is used.\n", + "output_characters": 1000, + "output_sha256": "700b4c58796e3f5e0d67629122074610bfc5193f6dc25d5c8bc33ba9d6a4f268", + "prompt_tokens": 131, + "reasoning_characters": 22, + "reasoning_sha256": "af6f043f26025000aeb3ba955cd4e01df3f98b893747d92a1b99562b764fc47e", + "response_tail_seconds": 0.002755, + "stream_done_marker": true, + "stream_sha256": "13d59118e264670dceca0cd0f3ed9057cc683bf93787b54c0e0442e412e135d5", + "time_to_first_visible_seconds": 2.564605, + "time_to_last_output_seconds": 11.857767, + "ttft_seconds": 1.55539, + "wall_seconds": 11.860521 + }, + { + "completion_tokens": 256, + "decode_seconds": 9.072529, + "decode_tokens_per_second": 28.107, + "finish_reason": "length", + "measured_sse_events": 255, + "output": "```go\n// ratelimit.go\npackage ratelimit\n\nimport (\n\t\"errors\"\n\t\"fmt\"\n\t\"sync\"\n\t\"time\"\n)\n\n// Clock abstracts time for testability.\ntype Clock interface {\n\tNow() time.Time\n}\n\ntype realClock struct{}\n\nfunc (realClock) Now() time.Time { return time.Now() }\n\n// Limiter is a concurrency-safe token-bucket rate limiter.\ntype Limiter struct {\n\tmu sync.Mutex\n\trate float64 // tokens per second\n\tburst float64 // bucket capacity\n\ttokens float64 // current tokens\n\tlastTime time.Time // last refill time\n\tclock Clock\n}\n\n// NewLimiter creates a Limiter that refills rate tokens per second,\n// with a maximum burst capacity. Both must be > 0.\nfunc NewLimiter(rate float64, burst int) (*Limiter, error) {\n\treturn NewLimiterWithClock(rate, burst, realClock{})\n}\n\n// NewLimiterWithClock is NewLimiter with an injectable clock.\nfunc NewLimiterWithClock(rate float64, burst int, clock Clock) (*Limiter, error) {\n\tif rate <= 0 {\n\t\treturn nil", + "output_characters": 944, + "output_sha256": "449250dae108e8f919c6f7e79ae90446341493ba41308fcdc1e1f864b1b9e14f", + "prompt_tokens": 135, + "reasoning_characters": 27, + "reasoning_sha256": "0b3acc8403ec469b09b04be516f98e059799ba61dabe4c94250bbf24a6f23331", + "response_tail_seconds": 0.009464, + "stream_done_marker": true, + "stream_sha256": "a46d3d36989363e7cfb2361fc214c0deca656e7d04cd5cf866c336f63d1c8cfa", + "time_to_first_visible_seconds": 2.563754, + "time_to_last_output_seconds": 11.374263, + "ttft_seconds": 2.301734, + "wall_seconds": 11.383727 + }, + { + "completion_tokens": 256, + "decode_seconds": 10.643235, + "decode_tokens_per_second": 23.959, + "finish_reason": "length", + "measured_sse_events": 255, + "output": "**ratelimit.go**\n```go\n// Package ratelimit implements a concurrency-safe token-bucket rate limiter.\npackage ratelimit\n\nimport (\n\t\"errors\"\n\t\"sync\"\n\t\"time\"\n)\n\n// Clock reports the current time; injectable for testing.\ntype Clock interface {\n\tNow() time.Time\n}\n\ntype realClock struct{}\n\nfunc (realClock) Now() time.Time { return time.Now() }\n\n// Limiter is a concurrency-safe token-bucket rate limiter.\n// Tokens refill continuously at rate tokens per second, up to burst capacity.\ntype Limiter struct {\n\tmu sync.Mutex\n\ttokens float64\n\tburst float64\n\trate float64 // tokens per second\n\tlastFill time.Time\n\tclock Clock\n}\n\n// New creates a Limiter that allows burst events instantly and refills at\n// rate tokens per second. rate must be > 0 and burst must be >= 1.\nfunc New(rate float64, burst int) (*Limiter, error) {\n\treturn NewWithClock(rate, burst, realClock{})\n}\n\n// NewWithClock is New with an injectable Clock.\nfunc NewWithClock(rate float64, burst int, clock Clock) (*", + "output_characters": 991, + "output_sha256": "55cfe0f3812eebcf7e1cc044245182642c7f39f071f319dd8438ddc3f20b404b", + "prompt_tokens": 129, + "reasoning_characters": 31, + "reasoning_sha256": "0b43e4ed336e57da5a7c92d31a4254d0a9a41023d9c266c81567fdeb7ede531d", + "response_tail_seconds": 0.008616, + "stream_done_marker": true, + "stream_sha256": "7401d253cd3829576ac8afa92e772e11cff978f8349c67596b91805d7084d8c7", + "time_to_first_visible_seconds": 2.563614, + "time_to_last_output_seconds": 11.373833, + "ttft_seconds": 0.730598, + "wall_seconds": 11.38245 + } + ], + "wall_seconds": 11.86216 + } + ] + }, + "4": { + "aggregate_end_to_end_tokens_per_second": { + "maximum": 70.978, + "median": 69.488, + "minimum": 67.999, + "p90": 70.978 + }, + "per_stream_decode_tokens_per_second": { + "maximum": 23.377, + "median": 21.209, + "minimum": 17.813, + "p90": 22.863 + }, + "per_stream_ttft_seconds": { + "maximum": 3.043, + "median": 1.838, + "minimum": 0.739, + "p90": 3.032 + }, + "rounds": [ + { + "aggregate_end_to_end_tokens_per_second": 67.999, + "completion_tokens": 1024, + "round": 1, + "streams": [ + { + "completion_tokens": 256, + "decode_seconds": 13.235371, + "decode_tokens_per_second": 19.267, + "finish_reason": "length", + "measured_sse_events": 255, + "output": "```go\n// ratelimit.go\npackage ratelimit\n\nimport (\n\t\"errors\"\n\t\"sync\"\n\t\"time\"\n)\n\n// Clock abstracts time for testability.\ntype Clock interface {\n\tNow() time.Time\n}\n\ntype realClock struct{}\n\nfunc (realClock) Now() time.Time { return time.Now() }\n\n// RealClock returns a Clock backed by the system time.\nfunc RealClock() Clock { return realClock{} }\n\n// Limiter is a concurrency-safe token-bucket rate limiter.\n// A Limiter must be constructed via New; the zero value is not usable.\ntype Limiter struct {\n\tmu sync.Mutex\n\trate float64 // tokens per second\n\tburst float64 // bucket capacity\n\ttokens float64 // current tokens\n\tlast time.Time // last refill time\n\tclock Clock\n}\n\nvar (\n\tErrNonPositiveRate = errors.New(\"ratelimit: rate must be > 0\")\n\tErrNonPositiveBurst = errors.New(\"ratelimit: burst must be > 0\")\n\tErrNilClock = errors.New(\"ratelimit: clock must not be nil\")\n)\n\n// New creates a Limiter that refills", + "output_characters": 952, + "output_sha256": "5e693a591b5a4120e25d1a71042539e7e43680ac049bec63fb7a62bd490449c2", + "prompt_tokens": 131, + "reasoning_characters": 27, + "reasoning_sha256": "0b3acc8403ec469b09b04be516f98e059799ba61dabe4c94250bbf24a6f23331", + "response_tail_seconds": 0.007414, + "stream_done_marker": true, + "stream_sha256": "5bcf9c1b98b10523be77cd7fc6e8e5c3c2f1b50287732186424602396f45861d", + "time_to_first_visible_seconds": 3.284376, + "time_to_last_output_seconds": 14.681528, + "ttft_seconds": 1.446157, + "wall_seconds": 14.688941 + }, + { + "completion_tokens": 256, + "decode_seconds": 10.907954, + "decode_tokens_per_second": 23.377, + "finish_reason": "length", + "measured_sse_events": 255, + "output": "```go\n// ratelimit.go\npackage ratelimit\n\nimport (\n\t\"errors\"\n\t\"sync\"\n\t\"time\"\n)\n\n// Clock abstracts time for testability.\ntype Clock interface {\n\tNow() time.Time\n}\n\ntype realClock struct{}\n\nfunc (realClock) Now() time.Time { return time.Now() }\n\n// RealClock returns a Clock backed by the system time.\nfunc RealClock() Clock { return realClock{} }\n\n// Limiter is a concurrency-safe token-bucket rate limiter.\ntype Limiter struct {\n\tmu sync.Mutex\n\trate float64 // tokens per second\n\tburst float64 // bucket capacity\n\ttokens float64 // current tokens\n\tlast time.Time // last refill time\n\tclock Clock\n}\n\nvar ErrInvalidConfig = errors.New(\"ratelimit: rate and burst must be positive\")\n\n// New creates a Limiter with the given refill rate (tokens/sec) and burst\n// (bucket capacity). The bucket starts full.\nfunc New(rate, burst float64, clock Clock) (*Limiter, error) {\n\tif rate <= 0 || burst <= 0 {\n\t\treturn nil, ErrInvalidConfig\n\t}\n\tif clock == nil {\n\t\tclock = RealClock", + "output_characters": 994, + "output_sha256": "969cf01c0eacc3dc614ae7abe824e93e7063f334e503fba06e88e1a01b915cdd", + "prompt_tokens": 132, + "reasoning_characters": 0, + "reasoning_sha256": "e3b0c44298fc1c149afbf4c8996fb92427ae41e4649b934ca495991b7852b855", + "response_tail_seconds": 0.010687, + "stream_done_marker": true, + "stream_sha256": "969cf01c0eacc3dc614ae7abe824e93e7063f334e503fba06e88e1a01b915cdd", + "time_to_first_visible_seconds": 3.043339, + "time_to_last_output_seconds": 13.951293, + "ttft_seconds": 3.043339, + "wall_seconds": 13.961979 + }, + { + "completion_tokens": 256, + "decode_seconds": 12.093548, + "decode_tokens_per_second": 21.086, + "finish_reason": "length", + "measured_sse_events": 255, + "output": "```go\n// ratelimit.go\npackage ratelimit\n\nimport (\n\t\"errors\"\n\t\"fmt\"\n\t\"sync\"\n\t\"time\"\n)\n\n// Clock abstracts time for testability.\ntype Clock interface {\n\tNow() time.Time\n}\n\n// RealClock uses the system clock.\ntype RealClock struct{}\n\nfunc (RealClock) Now() time.Time { return time.Now() }\n\n// Limiter is a concurrency-safe token-bucket rate limiter.\n// A Limiter must be created by NewLimiter and is safe for concurrent use.\ntype Limiter struct {\n\tmu sync.Mutex\n\tclock Clock\n\tcapacity float64 // max tokens\n\ttokens float64 // current tokens\n\trefillPer float64 // tokens added per second\n\tlast time.Time\n}\n\nvar (\n\tErrNonPositiveCapacity = errors.New(\"ratelimit: capacity must be > 0\")\n\tErrNonPositiveRate = errors.New(\"ratelimit: rate must be > 0\")\n)\n\n// NewLimiter creates a Limiter with the given burst capacity and refill rate\n// (tokens per second). The bucket starts full.\nfunc NewLimiter(capacity, rate float64, clock Clock) (*Limiter", + "output_characters": 960, + "output_sha256": "1d35e966a40e1e2b45cbd5eacf76e2d57a255b61cbd7ffe9a5c8232009b4816f", + "prompt_tokens": 134, + "reasoning_characters": 27, + "reasoning_sha256": "0b3acc8403ec469b09b04be516f98e059799ba61dabe4c94250bbf24a6f23331", + "response_tail_seconds": 0.009208, + "stream_done_marker": true, + "stream_sha256": "1fa04cdc67258f79e7cd1ed5003144e84ba198bd418e6521ba93bc455a8a65c3", + "time_to_first_visible_seconds": 3.15716, + "time_to_last_output_seconds": 14.253134, + "ttft_seconds": 2.159586, + "wall_seconds": 14.262342 + }, + { + "completion_tokens": 256, + "decode_seconds": 14.315285, + "decode_tokens_per_second": 17.813, + "finish_reason": "length", + "measured_sse_events": 255, + "output": "```go\n// ratelimit.go\npackage ratelimit\n\nimport (\n\t\"errors\"\n\t\"math\"\n\t\"sync\"\n\t\"time\"\n)\n\n// Clock abstracts time for testability.\ntype Clock interface {\n\tNow() time.Time\n}\n\ntype realClock struct{}\n\nfunc (realClock) Now() time.Time { return time.Now() }\n\n// RealClock returns a Clock backed by time.Now.\nfunc RealClock() Clock { return realClock{} }\n\n// Limiter is a concurrency-safe token-bucket rate limiter.\n// A Limiter must be created by New; the zero value is not usable.\ntype Limiter struct {\n\tmu sync.Mutex\n\trate float64 // tokens per second\n\tburst float64 // bucket capacity\n\ttokens float64\n\tlast time.Time\n\tclock Clock\n\tnowFn func() time.Time // set from clock for fast path\n}\n\n// New creates a Limiter with the given refill rate (tokens per second)\n// and burst capacity. rate must be > 0; burst must be >= 1.\nfunc New(rate float64, burst int, clock Clock) (*Limiter, error) {\n\tif rate <= 0 || math.IsNaN(rate)", + "output_characters": 943, + "output_sha256": "2ecbf82533cc4beae6149882ce198c745149bc820142cf1c323c1f6f104e8bf2", + "prompt_tokens": 133, + "reasoning_characters": 31, + "reasoning_sha256": "0b43e4ed336e57da5a7c92d31a4254d0a9a41023d9c266c81567fdeb7ede531d", + "response_tail_seconds": 0.002646, + "stream_done_marker": true, + "stream_sha256": "18286e884af8b678fe2335f91dee290cfcdfe6c89b9bd6469498f670e0371da1", + "time_to_first_visible_seconds": 3.158873, + "time_to_last_output_seconds": 15.054645, + "ttft_seconds": 0.73936, + "wall_seconds": 15.057291 + } + ], + "wall_seconds": 15.059139 + }, + { + "aggregate_end_to_end_tokens_per_second": 70.978, + "completion_tokens": 1024, + "round": 2, + "streams": [ + { + "completion_tokens": 256, + "decode_seconds": 13.383851, + "decode_tokens_per_second": 19.053, + "finish_reason": "length", + "measured_sse_events": 255, + "output": "**ratelimit.go**\n```go\n// Package ratelimit implements a concurrency-safe token-bucket rate limiter.\npackage ratelimit\n\nimport (\n\t\"errors\"\n\t\"sync\"\n\t\"time\"\n)\n\n// Clock provides the current time. time.Time's method set satisfies it.\ntype Clock interface {\n\tNow() time.Time\n}\n\n// Limiter is a concurrency-safe token-bucket rate limiter.\n// A Limiter must be created by NewLimiter; the zero value is not usable.\ntype Limiter struct {\n\tmu sync.Mutex\n\trate float64 // tokens per second\n\tburst int // bucket capacity\n\ttokens float64 // current tokens\n\tlast time.Time // last refill time\n\tclock Clock\n}\n\n// NewLimiter returns a Limiter that allows rate events per second with a\n// maximum burst of burst tokens. The bucket starts full.\nfunc NewLimiter(rate float64, burst int, clock Clock) (*Limiter, error) {\n\tif rate <= 0 {\n\t\treturn nil, errors.New(\"ratelimit: rate must be > 0\")\n\t}\n\tif burst <= 0 {\n\t\treturn nil, errors.New(\"ratelimit: burst must be > 0", + "output_characters": 986, + "output_sha256": "9871d5cb6db6b60acd58a6f00fc68ba581b1685da0e6d4098bdbf0ed493f1db5", + "prompt_tokens": 134, + "reasoning_characters": 0, + "reasoning_sha256": "e3b0c44298fc1c149afbf4c8996fb92427ae41e4649b934ca495991b7852b855", + "response_tail_seconds": 0.007311, + "stream_done_marker": true, + "stream_sha256": "9871d5cb6db6b60acd58a6f00fc68ba581b1685da0e6d4098bdbf0ed493f1db5", + "time_to_first_visible_seconds": 0.802106, + "time_to_last_output_seconds": 14.185957, + "ttft_seconds": 0.802106, + "wall_seconds": 14.193268 + }, + { + "completion_tokens": 256, + "decode_seconds": 11.15332, + "decode_tokens_per_second": 22.863, + "finish_reason": "length", + "measured_sse_events": 255, + "output": "**ratelimit.go**\n```go\n// Package ratelimit implements a concurrency-safe token-bucket rate limiter.\npackage ratelimit\n\nimport (\n\t\"errors\"\n\t\"math\"\n\t\"sync\"\n\t\"time\"\n)\n\n// Clock reports the current time. It is an interface so tests can inject a\n// fake clock.\ntype Clock interface {\n\tNow() time.Time\n}\n\ntype systemClock struct{}\n\nfunc (systemClock) Now() time.Time { return time.Now() }\n\n// SystemClock is the default Clock backed by the wall clock.\nvar SystemClock Clock = systemClock{}\n\n// Limiter is a concurrency-safe token-bucket rate limiter. The zero value is\n// not usable; construct one with New.\ntype Limiter struct {\n\tmu sync.Mutex\n\n\trate float64 // tokens per second\n\tburst float64 // bucket capacity\n\ttokens float64 // current tokens\n\tlast time.Time // last refill time\n\tclock Clock\n}\n\n// ErrInvalidRate is returned by New when rate is not positive or finite.\nvar ErrInvalidRate = errors.New(\"ratelimit: rate must be positive and finite\")\n\n// ErrInvalidBurst is returned by New when burst is not a positive integer.\nvar", + "output_characters": 1067, + "output_sha256": "9a4ebcba2cc03719c9cd2ac72c86a146a6076b89e67312628f0a93ef102231f2", + "prompt_tokens": 131, + "reasoning_characters": 0, + "reasoning_sha256": "e3b0c44298fc1c149afbf4c8996fb92427ae41e4649b934ca495991b7852b855", + "response_tail_seconds": 0.009208, + "stream_done_marker": true, + "stream_sha256": "9a4ebcba2cc03719c9cd2ac72c86a146a6076b89e67312628f0a93ef102231f2", + "time_to_first_visible_seconds": 3.031461, + "time_to_last_output_seconds": 14.184781, + "ttft_seconds": 3.031461, + "wall_seconds": 14.193989 + }, + { + "completion_tokens": 256, + "decode_seconds": 11.953892, + "decode_tokens_per_second": 21.332, + "finish_reason": "length", + "measured_sse_events": 255, + "output": "```go\n// ratelimit.go\npackage ratelimit\n\nimport (\n\t\"errors\"\n\t\"sync\"\n\t\"time\"\n)\n\n// Clock abstracts time for testing.\ntype Clock interface {\n\tNow() time.Time\n}\n\n// Limiter is a concurrency-safe token-bucket rate limiter.\ntype Limiter struct {\n\tmu sync.Mutex\n\trate float64 // tokens per second\n\tburst float64 // bucket capacity\n\ttokens float64\n\tlast time.Time\n\tclock Clock\n}\n\n// New creates a Limiter with the given refill rate (tokens per second)\n// and burst capacity. rate must be > 0 and burst must be >= 1.\nfunc New(rate float64, burst int, clock Clock) (*Limiter, error) {\n\tif rate <= 0 {\n\t\treturn nil, errors.New(\"ratelimit: rate must be > 0\")\n\t}\n\tif burst < 1 {\n\t\treturn nil, errors.New(\"ratelimit: burst must be >= 1\")\n\t}\n\tif clock == nil {\n\t\treturn nil, errors.New(\"ratelimit: clock must not be nil\")\n\t}\n\treturn &Limiter{\n\t\trate: rate,\n\t", + "output_characters": 878, + "output_sha256": "8ed5ca379e57940959f9487fd9171802ce4736b2d795c7e2fd0f4c52a569f25a", + "prompt_tokens": 132, + "reasoning_characters": 22, + "reasoning_sha256": "af6f043f26025000aeb3ba955cd4e01df3f98b893747d92a1b99562b764fc47e", + "response_tail_seconds": 0.011101, + "stream_done_marker": true, + "stream_sha256": "507f3d017445233e4855bb0d9112b4ab78ab4e329ac3ea43b29f9923e0a4b57b", + "time_to_first_visible_seconds": 3.166976, + "time_to_last_output_seconds": 13.470281, + "ttft_seconds": 1.51639, + "wall_seconds": 13.481382 + }, + { + "completion_tokens": 256, + "decode_seconds": 11.39082, + "decode_tokens_per_second": 22.386, + "finish_reason": "length", + "measured_sse_events": 255, + "output": "**ratelimit.go**\n\n```go\n// Package ratelimit implements a concurrency-safe token-bucket rate limiter.\npackage ratelimit\n\nimport (\n\t\"errors\"\n\t\"fmt\"\n\t\"sync\"\n\t\"time\"\n)\n\n// Clock reports the current time. It is an injection point for tests.\ntype Clock interface {\n\tNow() time.Time\n}\n\ntype realClock struct{}\n\nfunc (realClock) Now() time.Time { return time.Now() }\n\n// Limiter is a concurrency-safe token-bucket rate limiter. The zero value is\n// not usable; construct one with New.\ntype Limiter struct {\n\tmu sync.Mutex\n\ttokens float64\n\tlast time.Time\n\trate float64 // tokens per second\n\tburst float64\n\tclock Clock\n\tnowFn func() time.Time // fast path when clock is the default\n}\n\n// New returns a Limiter that refills at rate tokens per second, up to burst.\n// rate must be > 0 and burst must be >= 1.\nfunc New(rate float64, burst int) (*Limiter, error) {\n\treturn NewWithClock(rate, burst, nil)\n}\n\n// NewWithClock is New with an injectable Clock. A nil clock uses", + "output_characters": 984, + "output_sha256": "0344c42905374e200141daf07c94a584d4bc7be226aaad1c577d1ee84abdd01a", + "prompt_tokens": 132, + "reasoning_characters": 0, + "reasoning_sha256": "e3b0c44298fc1c149afbf4c8996fb92427ae41e4649b934ca495991b7852b855", + "response_tail_seconds": 0.002387, + "stream_done_marker": true, + "stream_sha256": "0344c42905374e200141daf07c94a584d4bc7be226aaad1c577d1ee84abdd01a", + "time_to_first_visible_seconds": 3.032493, + "time_to_last_output_seconds": 14.423313, + "ttft_seconds": 3.032493, + "wall_seconds": 14.425701 + } + ], + "wall_seconds": 14.427032 + } + ] + } + }, + "decode": { + "code": { + "completion_gate": { + "passed": 1, + "total": 1 + }, + "decode_tokens_per_second": { + "maximum": 65.209, + "median": 65.209, + "minimum": 65.209, + "p90": 65.209 + }, + "runs": [ + { + "completion_tokens": 1928, + "completion_validation": { + "valid": true + }, + "decode_seconds": 29.551121, + "decode_tokens_per_second": 65.209, + "finish_reason": "stop", + "measured_sse_events": 1926, + "output": "```go\n// ratelimit.go\npackage ratelimit\n\nimport (\n\t\"errors\"\n\t\"sync\"\n\t\"time\"\n)\n\n// Clock abstracts time for testability.\ntype Clock interface {\n\tNow() time.Time\n}\n\ntype realClock struct{}\n\nfunc (realClock) Now() time.Time { return time.Now() }\n\n// Limiter is a concurrency-safe token-bucket rate limiter.\n// A Limiter must be created with New; the zero value is not usable.\ntype Limiter struct {\n\tmu sync.Mutex\n\trate float64 // tokens per second\n\tburst float64 // bucket capacity\n\ttokens float64 // available tokens\n\tlast time.Time // last refill time\n\tclock Clock\n}\n\n// New creates a Limiter that emits rate tokens per second, up to burst.\nfunc New(rate float64, burst int, clock Clock) (*Limiter, error) {\n\tif rate <= 0 {\n\t\treturn nil, errors.New(\"ratelimit: rate must be > 0\")\n\t}\n\tif burst <= 0 {\n\t\treturn nil, errors.New(\"ratelimit: burst must be > 0\")\n\t}\n\tif clock == nil {\n\t\tclock = realClock{}\n\t}\n\treturn &Limiter{\n\t\trate: rate,\n\t\tburst: float64(burst),\n\t\ttokens: float64(burst),\n\t\tclock: clock,\n\t}, nil\n}\n\n// advance refills tokens based on elapsed time. Caller must hold l.mu.\nfunc (l *Limiter) advance(now time.Time) {\n\tif now.Before(l.last) {\n\t\treturn // clock went backwards; ignore\n\t}\n\telapsed := now.Sub(l.last).Seconds()\n\tl.tokens += elapsed * l.rate\n\tif l.tokens > l.burst {\n\t\tl.tokens = l.burst\n\t}\n\tl.last = now\n}\n\n// AllowN reports whether n tokens may be consumed at time now.\nfunc (l *Limiter) AllowN(now time.Time, n int) bool {\n\tif n < 0 {\n\t\treturn false\n\t}\n\tl.mu.Lock()\n\tdefer l.mu.Unlock()\n\tl.advance(now)\n\tif float64(n) <= l.tokens {\n\t\tl.tokens -= float64(n)\n\t\treturn true\n\t}\n\treturn false\n}\n\n// Allow reports whether a single token may be consumed now.\nfunc (l *Limiter) Allow() bool {\n\treturn l.AllowN(l.clock.Now(), 1)\n}\n\n// RetryAfter returns the duration until n tokens would be available,\n// or 0 if they are available now. It does not consume tokens.\nfunc (l *Limiter) RetryAfter(now time.Time, n int) time.Duration {\n\tl.mu.Lock()\n\tdefer l.mu.Unlock()\n\tl.advance(now)\n\tneed := float64(n) - l.tokens\n\tif need <= 0 {\n\t\treturn 0\n\t}\n\treturn time.Duration(need / l.rate * float64(time.Second))\n}\n```\n\n```go\n// ratelimit_test.go\npackage ratelimit\n\nimport (\n\t\"sync\"\n\t\"testing\"\n\t\"time\"\n)\n\ntype fakeClock struct {\n\tmu sync.Mutex\n\tnow time.Time\n}\n\nfunc newFakeClock(t time.Time) *fakeClock { return &fakeClock{now: t} }\n\nfunc (c *fakeClock) Now() time.Time {\n\tc.mu.Lock()\n\tdefer c.mu.Unlock()\n\treturn c.now\n}\n\nfunc (c *fakeClock) Advance(d time.Duration) {\n\tc.mu.Lock()\n\tdefer c.mu.Unlock()\n\tc.now = c.now.Add(d)\n}\n\nfunc TestNewValidation(t *testing.T) {\n\tcases := []struct {\n\t\tname string\n\t\trate float64\n\t\tburst int\n\t\twantErr bool\n\t}{\n\t\t{\"ok\", 1, 1, false},\n\t\t{\"zero rate\", 0, 1, true},\n\t\t{\"negative rate\", -1, 1, true},\n\t\t{\"zero burst\", 1, 0, true},\n\t\t{\"negative burst\", 1, -1, true},\n\t}\n\tfor _, tc := range cases {\n\t\tt.Run(tc.name, func(t *testing.T) {\n\t\t\t_, err := New(tc.rate, tc.burst, newFakeClock(time.Unix(0, 0)))\n\t\t\tif (err != nil) != tc.wantErr {\n\t\t\t\tt.Fatalf(\"New(%v, %v) err = %v, wantErr %v\", tc.rate, tc.burst, err, tc.wantErr)\n\t\t\t}\n\t\t})\n\t}\n}\n\nfunc TestAllowN(t *testing.T) {\n\tstart := time.Unix(0, 0)\n\tcases := []struct {\n\t\tname string\n\t\trate float64\n\t\tburst int\n\t\tsteps []struct {\n\t\t\tadvance time.Duration\n\t\t\tn int\n\t\t\twant bool\n\t\t}\n\t}{\n\t\t{\n\t\t\tname: \"burst consumed then denied\",\n\t\t\trate: 1, burst: 3,\n\t\t\tsteps: []struct {\n\t\t\t\tadvance time.Duration\n\t\t\t\tn int\n\t\t\t\twant bool\n\t\t\t}{\n\t\t\t\t{0, 3, true},\n\t\t\t\t{0, 1, false},\n\t\t\t},\n\t\t},\n\t\t{\n\t\t\tname: \"refill over time\",\n\t\t\trate: 1, burst: 2,\n\t\t\tsteps: []struct {\n\t\t\t\tadvance time.Duration\n\t\t\t\tn int\n\t\t\t\twant bool\n\t\t\t}{\n\t\t\t\t{0, 2, true},\n\t\t\t\t{0, 1, false},\n\t\t\t\t{time.Second, 1, true},\n\t\t\t\t{500 * time.Millisecond, 1, false},\n\t\t\t\t{500 * time.Millisecond, 1, true},\n\t\t\t},\n\t\t},\n\t\t{\n\t\t\tname: \"tokens capped at burst\",\n\t\t\trate: 10, burst: 2,\n\t\t\tsteps: []struct {\n\t\t\t\tadvance time.Duration\n\t\t\t\tn int\n\t\t\t\twant bool\n\t\t\t}{\n\t\t\t\t{0, 2, true},\n\t\t\t\t{10 * time.Second, 3, false}, // only 2 available despite long wait\n\t\t\t\t{0, 2, true},\n\t\t\t},\n\t\t},\n\t\t{\n\t\t\tname: \"zero request always allowed\",\n\t\t\trate: 1, burst: 1,\n\t\t\tsteps: []struct {\n\t\t\t\tadvance time.Duration\n\t\t\t\tn int\n\t\t\t\twant bool\n\t\t\t}{\n\t\t\t\t{0, 1, true},\n\t\t\t\t{0, 0, true},\n\t\t\t\t{0, 1, false},\n\t\t\t},\n\t\t},\n\t\t{\n\t\t\tname: \"negative request denied\",\n\t\t\trate: 1, burst: 1,\n\t\t\tsteps: []struct {\n\t\t\t\tadvance time.Duration\n\t\t\t\tn int\n\t\t\t\twant bool\n\t\t\t}{\n\t\t\t\t{0, -1, false},\n\t\t\t\t{0, 1, true},\n\t\t\t},\n\t\t},\n\t}\n\tfor _, tc := range cases {\n\t\tt.Run(tc.name, func(t *testing.T) {\n\t\t\tclock := newFakeClock(start)\n\t\t\tl, err := New(tc.rate, tc.burst, clock)\n\t\t\tif err != nil {\n\t\t\t\tt.Fatalf(\"New: %v\", err)\n\t\t\t}\n\t\t\tfor i, s := range tc.steps {\n\t\t\t\tclock.Advance(s.advance)\n\t\t\t\tif got := l.AllowN(clock.Now(), s.n); got != s.want {\n\t\t\t\t\tt.Errorf(\"step %d: AllowN(%d) = %v, want %v\", i, s.n, got, s.want)\n\t\t\t\t}\n\t\t\t}\n\t\t})\n\t}\n}\n\nfunc TestRetryAfter(t *testing.T) {\n\tclock := newFakeClock(time.Unix(0, 0))\n\tl, _ := New(2, 1, clock) // 2 tokens/sec, burst 1\n\tl.AllowN(clock.Now(), 1) // empty\n\tif d := l.RetryAfter(clock.Now(), 1); d != 500*time.Millisecond {\n\t\tt.Errorf(\"RetryAfter = %v, want 500ms\", d)\n\t}\n\tclock.Advance(500 * time.Millisecond)\n\tif d := l.RetryAfter(clock.Now(), 1); d != 0 {\n\t\tt.Errorf(\"RetryAfter after wait = %v, want 0\", d)\n\t}\n}\n\nfunc TestConcurrentAccess(t *testing.T) {\n\tclock := newFakeClock(time.Unix(0, 0))\n\tl, _ := New(1000, 100, clock)\n\tvar wg sync.WaitGroup\n\tallowed := int64(0)\n\tvar mu sync.Mutex\n\tfor i := 0; i < 50; i++ {\n\t\twg.Add(1)\n\t\tgo func() {\n\t\t\tdefer wg.Done()\n\t\t\tfor j := 0; j < 10; j++ {\n\t\t\t\tif l.AllowN(clock.Now(), 1) {\n\t\t\t\t\tmu.Lock()\n\t\t\t\t\tallowed++\n\t\t\t\t\tmu.Unlock()\n\t\t\t\t}\n\t\t\t}\n\t\t}()\n\t}\n\twg.Wait()\n\tif allowed != 100 {\n\t\tt.Errorf(\"allowed = %d, want 100\", allowed)\n\t}\n}\n```", + "output_characters": 5807, + "output_sha256": "8cd0eca74798bc854b615e4db9ce8d7d808764147e3460937928c6f96b00e6ca", + "prompt_tokens": 130, + "reasoning_characters": 31, + "reasoning_sha256": "0b43e4ed336e57da5a7c92d31a4254d0a9a41023d9c266c81567fdeb7ede531d", + "response_tail_seconds": 0.05598, + "run": 1, + "stream_done_marker": true, + "stream_sha256": "9f3d5d23c4a2ae064d989f3aa3c87190093cdfe80bd21b6e384b22d463ee4b12", + "time_to_first_visible_seconds": 1.044755, + "time_to_last_output_seconds": 30.283292, + "ttft_seconds": 0.732172, + "wall_seconds": 30.339273 + } + ], + "time_to_last_output_seconds": { + "maximum": 30.283, + "median": 30.283, + "minimum": 30.283, + "p90": 30.283 + }, + "ttft_seconds": { + "maximum": 0.732, + "median": 0.732, + "minimum": 0.732, + "p90": 0.732 + }, + "wall_seconds": { + "maximum": 30.339, + "median": 30.339, + "minimum": 30.339, + "p90": 30.339 + } + }, + "prose": { + "completion_gate": { + "passed": 1, + "total": 1 + }, + "decode_tokens_per_second": { + "maximum": 36.614, + "median": 36.614, + "minimum": 36.614, + "p90": 36.614 + }, + "runs": [ + { + "completion_tokens": 1050, + "completion_validation": { + "valid": true + }, + "decode_seconds": 28.650594, + "decode_tokens_per_second": 36.614, + "finish_reason": "stop", + "measured_sse_events": 1048, + "output": "**MEMO: Hardware Purchase vs. Utilisation Improvement \u2014 Recommendation**\n\n**To:** Engineering Team\n**From:** Infrastructure Lead\n**Re:** Whether to buy more local AI hardware or improve utilisation of what we own\n\n**Background**\n\nWe currently operate a small on-premise cluster of GPU nodes that serves our model inference workloads, internal experimentation, and batch fine-tuning jobs. Over the past quarter, utilisation has been uneven: peak demand on weekday afternoons regularly saturates capacity, while nights and weekends sit largely idle. Queue times during peak hours have grown to the point where engineers are context-switching away while jobs wait, and at least two feature launches were delayed because someone couldn't get a GPU slot when they needed it. The obvious instinct is to buy more hardware. I've looked at the numbers, and I think that instinct is half right at best. My recommendation is that we spend the next quarter aggressively improving utilisation of what we own, with a small, carefully scoped purchase only if specific conditions materialise.\n\n**The case for buying more hardware**\n\nLet me be fair to the purchase option first. Adding capacity is fast to reason about. If we're queueing, more GPUs means shorter queues, full stop. There's no behavioural change required, no new scheduling system to build, no awkward conversations about who gets priority. Latency for interactive work improves immediately and predictably. And our current hardware is aging; buying now, while a particular generation is still available and supported, has some appeal compared to being forced into a purchase later under time pressure.\n\n**The case against buying right now**\n\nThe problem is what the purchase costs us beyond the invoice. Capital expenditure on GPUs is large and largely irreversible \u2014 the resale market for used accelerators is thin and moves against you quickly, and once the hardware is racked, the money is gone whether we use it well or not. That irreversibility matters more than it first appears, because our demand pattern is itself uncertain. We don't actually know how much of our peak load is genuine need versus poor scheduling. If a third of our peak is jobs that could run overnight, or duplicate experiments that could be consolidated, we'd be buying hardware to solve a discipline problem.\n\nThere's also opportunity cost. The budget we'd spend on new nodes is budget we can't spend on the data pipeline work, the observability tooling, or the additional engineer-months that several of us agree would deliver more durable value. And reliability cuts both ways: more hardware means more components, more failure modes, more power and cooling load, and more maintenance surface for a team that is already stretched thin. A larger fleet we can't operate well is worse than a smaller fleet we can.\n\n**What utilisation improvement actually looks like**\n\nThe alternative is unglamorous but well understood. We need real scheduling: a queue with priorities, preemption for batch jobs, and guaranteed slots for interactive work, so that a launch-critical experiment doesn't sit behind someone's weekend benchmark. We need to shift genuinely deferrable work \u2014 fine-tuning runs, evaluation sweeps, bulk embedding jobs \u2014 into off-peak windows, which costs nothing but coordination. We need telemetry good enough to tell us what's actually running, for whom, and whether it justifies its slot; right now we're allocating scarce capacity largely on trust and anecdote. And we need a lightweight policy for reclaiming idle reservations, because our current model of \"reserve it and maybe use it\" is the single largest source of phantom demand I can identify.\n\nNone of this is free. It's probably two to three engineer-weeks of work, plus the ongoing social cost of saying no to each other occasionally. But that cost is an order of magnitude below a hardware purchase, it's reversible \u2014 we can adjust policies as we learn \u2014 and it produces information we currently lack.\n\n**Recommendation**\n\nSpend the next quarter on utilisation: scheduling, off-peak migration, telemetry, and reservation hygiene. Set a concrete trigger now: if, after that work, peak-hour queue times still exceed a defined threshold \u2014 I'd suggest more than thirty minutes for priority jobs on more than two days per week \u2014 we proceed with a purchase, scoped to the smallest configuration that closes the gap, with budget pre-approved so we're not re-litigating the decision under pressure.\n\n**Uncertainty**\n\nI want to be honest about what I don't know. Utilisation improvements often deliver less than their advocates promise, because human behaviour is sticky and some peak demand is genuinely inelastic. If our peak is real and irreducible, we'll have spent a quarter learning that, and the purchase case will be stronger and better targeted for it. Conversely, if utilisation work succeeds, we'll have bought ourselves time to purchase deliberately rather than reactively, likely at better prices and with clearer requirements. The asymmetry favours waiting: the downside of trying utilisation first is a quarter of modest friction; the downside of buying first is a large, sunk, possibly unnecessary expenditure.\n\nHappy to discuss at Thursday's planning session.", + "output_characters": 5270, + "output_sha256": "b10cdc915b70be244e835d8cbf1f5769df819364fba3d8222eb137c73917d1ea", + "prompt_tokens": 124, + "reasoning_characters": 62, + "reasoning_sha256": "7eddaec104351da3aba6059600be80b14d17920bd2df8ba3f1ac3d20ffb662d1", + "response_tail_seconds": 0.002604, + "run": 1, + "stream_done_marker": true, + "stream_sha256": "bdb71828588f8957cb1af0866f2a4dc71bf913afa801d098bbb1be3e28d515ac", + "time_to_first_visible_seconds": 1.196655, + "time_to_last_output_seconds": 29.36831, + "ttft_seconds": 0.717717, + "wall_seconds": 29.370914 + } + ], + "time_to_last_output_seconds": { + "maximum": 29.368, + "median": 29.368, + "minimum": 29.368, + "p90": 29.368 + }, + "ttft_seconds": { + "maximum": 0.718, + "median": 0.718, + "minimum": 0.718, + "p90": 0.718 + }, + "wall_seconds": { + "maximum": 29.371, + "median": 29.371, + "minimum": 29.371, + "p90": 29.371 + } + }, + "structured": { + "completion_gate": { + "passed": 1, + "total": 1 + }, + "decode_tokens_per_second": { + "maximum": 88.669, + "median": 88.669, + "minimum": 88.669, + "p90": 88.669 + }, + "runs": [ + { + "completion_tokens": 441, + "completion_validation": { + "valid": true + }, + "decode_seconds": 4.9623, + "decode_tokens_per_second": 88.669, + "finish_reason": "stop", + "measured_sse_events": 439, + "output": 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151847.703939, + "measured_sse_events": 1023, + "output": "**MEMO: GPU Capacity \u2014 Buy More or Use What We Have Better**\n\n**To:** Engineering Leadership\n**From:** Infrastructure Team\n**Re:** Hardware expansion decision for the inference cluster\n\n**Background**\n\nWe've been running near capacity on our local GPU fleet for about six weeks. Queue times for batch jobs have crept from minutes to hours, and interactive work occasionally waits behind long-running fine-tuning runs. The obvious question on the table is whether we should purchase additional hardware or invest in getting more out of what we already own. I want to lay out how I'm thinking about this trade-off, because the framing matters more than the headline numbers.\n\n**The case for buying**\n\nThe straightforward argument for new hardware is that demand is real and growing. Our team's roadmap includes three projects that all assume more compute than we currently have. Buying capacity removes a constraint immediately, and GPUs depreciate whether we use them or not \u2014 idle capacity is pure waste. There's also a reliability angle: a second node would give us redundancy we currently lack. Right now, a single hardware failure takes our entire training capability offline, and lead times on repairs for our card generation have been running three to five weeks. That's a genuine operational risk, not a hypothetical one.\n\n**The case for improving utilisation**\n\nBut before we spend, we should be honest about what our utilisation actually looks like. Telemetry from the last quarter suggests our fleet sits at roughly 40% average utilisation, with peaks that hit 90%+ and long valleys overnight and on weekends. The problem isn't raw capacity; it's scheduling. Batch jobs grab whole GPUs even when they need a fraction of one. Interactive workloads and training runs collide because we have no priority system. A modest investment in better job scheduling, fractional GPU allocation via MIG, and an overnight queue for non-urgent work could plausibly recover 30\u201340% more effective capacity from hardware we've already paid for.\n\nThe cost comparison is stark. A new node is roughly $85K upfront plus power, cooling, and maintenance \u2014 call it $110K over three years. The utilisation work is mostly engineering time: perhaps four to six weeks of one engineer's focus, plus some risk of instability while we tune the scheduler. That's maybe $25K in opportunity cost against the roadmap. Even if the utilisation work only recovers half of what I estimate, it's still several times cheaper per unit of effective capacity.\n\n**Latency and the quality of work**\n\nThere's a subtler point, though. Utilisation improvements often trade latency for throughput. If we pack jobs more tightly, interactive work may wait longer behind batch queues unless we build proper preemption \u2014 which is the hardest part of the project. Our researchers' iteration speed is arguably our most valuable resource; a scheduler that saves money but adds an hour to every experiment loop could cost more in lost productivity than it saves in hardware. Any utilisation work must protect interactive latency as a first-class constraint, not treat it as an afterthought.\n\n**Reversibility and option value**\n\nThis is where I land on sequencing. Buying hardware is a largely irreversible commitment \u2014 once purchased, the money is spent, and if demand shifts (a model change, a move to hosted APIs for some workloads), we're stuck with depreciating silicon. Improving utilisation is highly reversible: we can adjust scheduler policies, roll back MIG configurations, and change priorities as we learn. In a period where our workload mix is still evolving, preserving option value has real worth. The utilisation path also teaches us our true demand curve. After three months of better telemetry and scheduling, we'll know precisely what we need \u2014 and whether buying is justified at all.\n\n**Recommendation**\n\nI recommend we pursue the utilisation improvements first, with a defined scope and timeline: scheduler upgrade, MIG partitioning for small jobs, and an overnight batch queue, targeted for completion within one quarter. I further recommend we pre-approve the hardware purchase contingent on the outcome \u2014 if utilisation work brings our peak headroom above 25% and interactive latency stays flat, we defer the purchase; if not, we buy with the team's full confidence that the constraint is real rather than self-inflicted.\n\n**Uncertainty**\n\nI want to be clear about what I don't know. Our utilisation figures come from coarse telemetry and may understate true contention. Demand forecasts for the next two quarters are soft \u2014 two of the three roadmap projects could shrink or shift to external APIs. And scheduler work has a habit of expanding; if we're not at 60% utilisation by end of quarter, that itself is a signal worth taking seriously. The contingency structure protects us against being wrong in either direction.\n\nThe worst outcome would be buying hardware to solve a scheduling problem, or spending a quarter optimising when the constraint was real all along. The plan above makes both mistakes cheap to detect and correct.\n\nHappy", + "output_characters": 5112, + "output_sha256": "a8f08beee5c8581b2b237a5be6a0895be48c0e361e6fe440f56a459aad4a6bd7", + "prompt_tokens": 122, + "reasoning_characters": 64, + "reasoning_sha256": "fefa4a19be279abb54b8800f8f1016ca9026051a49686029a9fac9ccdc9456fd", + "response_tail_seconds": 0.002842, + "stall": { + "arrival_window_gaps": 13, + "arrival_window_max_gap_seconds": 3.122689, + "arrival_window_p95_gap_seconds": 3.075861, + "events": 1023, + "max_gap_seconds": 3.449184, + "median_gap_seconds": 0.049439, + "p95_gap_seconds": 0.074084, + "spanning_gap_seconds": 0.076152 + }, + "started_monotonic_seconds": 151846.994562, + "stream": 1, + "stream_done_marker": true, + "stream_sha256": "bff66fae42b7f81b15d6cfec0de5bd07ecd46d03db10a1cd2f1f433283f86b09", + "time_to_first_visible_seconds": 1.087392, + "time_to_last_output_seconds": 43.666655, + "ttft_seconds": 0.709376, + "wall_seconds": 43.669497 + } + ], + "incumbents_finished_before_newcomer_first_output": 0, + "newcomer": { + "completion_tokens": 256, + "decode_seconds": 4.255291, + "decode_tokens_per_second": 59.925, + "event_seconds": [ + 12.611211, + 12.764051, + 12.764101, + 12.764114, + 12.764126, + 12.764138, + 12.764149, + 12.764158, + 12.764168, + 12.89758, + 12.897607, + 12.897622, + 12.897637, + 12.897649, + 12.897661, + 12.897672, + 12.897684, + 13.027406, + 13.027435, + 13.02745, + 13.027462, + 13.027478, + 13.027491, + 13.027504, + 13.027514, + 13.156631, + 13.156689, + 13.156703, + 13.156714, + 13.156725, + 13.156736, + 13.156746, + 13.156756, + 13.280836, + 13.280893, + 13.280907, + 13.28092, + 13.280932, + 13.280943, + 13.280955, + 13.280965, + 13.405622, + 13.40566, + 13.405674, + 13.405686, + 13.405697, + 13.405708, + 13.405718, + 13.405728, + 13.521268, + 13.521297, + 13.52131, + 13.521322, + 13.521334, + 13.521344, + 13.521355, + 13.521365, + 13.626973, + 13.627001, + 13.627015, + 13.627028, + 13.627039, + 13.751627, + 13.751667, + 13.75168, + 13.751693, + 13.751705, + 13.751716, + 13.751726, + 13.751735, + 13.86099, + 13.861019, + 13.861026, + 13.861033, + 13.861038, + 13.861044, + 13.98517, + 13.985202, + 13.985216, + 13.985246, + 13.985257, + 13.985268, + 13.985278, + 13.985289, + 14.063353, + 14.063423, + 14.063437, + 14.194026, + 14.194055, + 14.194068, + 14.194079, + 14.19409, + 14.1941, + 14.194112, + 14.194123, + 14.309826, + 14.309857, + 14.30987, + 14.309881, + 14.309892, + 14.309904, + 14.309914, + 14.309924, + 14.429176, + 14.429196, + 14.429203, + 14.429208, + 14.429215, + 14.429244, + 14.429256, + 14.429263, + 14.554558, + 14.554611, + 14.554625, + 14.554639, + 14.55465, + 14.554661, + 14.554673, + 14.554683, + 14.678742, + 14.67877, + 14.678784, + 14.678796, + 14.678807, + 14.678818, + 14.678829, + 14.678839, + 14.799584, + 14.799605, + 14.799616, + 14.799622, + 14.799628, + 14.799634, + 14.799641, + 14.799646, + 14.914032, + 14.914058, + 14.914065, + 14.914072, + 14.914079, + 14.914084, + 14.914089, + 14.990204, + 14.990256, + 14.990263, + 15.116379, + 15.116399, + 15.116405, + 15.116411, + 15.11642, + 15.116427, + 15.116434, + 15.116439, + 15.239305, + 15.239341, + 15.239354, + 15.239368, + 15.23938, + 15.239392, + 15.239405, + 15.239415, + 15.361332, + 15.36136, + 15.361374, + 15.361387, + 15.361397, + 15.361408, + 15.361418, + 15.486418, + 15.486476, + 15.48649, + 15.486504, + 15.486515, + 15.486534, + 15.486544, + 15.486554, + 15.612733, + 15.612761, + 15.612774, + 15.612789, + 15.612799, + 15.612809, + 15.61282, + 15.612832, + 15.73709, + 15.737119, + 15.737133, + 15.737148, + 15.737159, + 15.73717, + 15.73718, + 15.73719, + 15.865992, + 15.866023, + 15.866035, + 15.866048, + 15.866059, + 15.866071, + 15.866081, + 15.866091, + 15.946867, + 15.946939, + 15.946952, + 16.076448, + 16.07648, + 16.076493, + 16.076506, + 16.076519, + 16.07653, + 16.07654, + 16.07655, + 16.155389, + 16.155468, + 16.155481, + 16.283196, + 16.283276, + 16.283289, + 16.283301, + 16.283313, + 16.283323, + 16.283333, + 16.283343, + 16.394957, + 16.395018, + 16.395035, + 16.395047, + 16.395059, + 16.395071, + 16.395081, + 16.48171, + 16.48173, + 16.481737, + 16.481742, + 16.614084, + 16.614116, + 16.614129, + 16.614141, + 16.614153, + 16.614165, + 16.614174, + 16.614184, + 16.735713, + 16.735746, + 16.73576, + 16.735771, + 16.735783, + 16.735794, + 16.735804, + 16.735815, + 16.866417, + 16.866445, + 16.866458, + 16.86647, + 16.866481, + 16.866491, + 16.866501 + ], + "finish_reason": "length", + "finished_monotonic_seconds": 151865.579034, + "first_output_monotonic_seconds": 151861.316991, + "measured_sse_events": 256, + "output": " action. The repository contains a service, tests, documentation, and release notes. Each observation records behaviour, evidence, constraints, and the next action. The repository contains a service, tests, documentation, and release notes. Each observation records behaviour, evidence, constraints, and the next action. The repository contains a service, tests, documentation, and release notes. Each observation records behaviour, evidence, constraints, and the next action. The repository contains a service, tests, documentation, and release notes. Each observation records behaviour, evidence, constraints, and the next action. The repository contains a service, tests, documentation, and release notes. Each observation records behaviour, evidence, constraints, and the next action. The repository contains a service, tests, documentation, and release notes. Each observation records behaviour, evidence, constraints, and the next action. The repository contains a service, tests, documentation, and release notes. Each observation records behaviour, evidence, constraints, and the next action. The repository contains a service, tests, documentation, and release notes. Each observation records behaviour, evidence, constraints, and the next action. The repository contains a service, tests, documentation, and release notes. 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Each observation records behaviour, evidence, constraints, and the next action. The repository contains a service, tests, documentation, and release notes. Each observation records behaviour, evidence, constraints, and the next action. The repository contains a service, tests, documentation, and release notes. 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43.412101, + 43.41213, + 43.412145, + 43.462957, + 43.513859, + 43.513935, + 43.575305, + 43.630254 + ], + "finish_reason": "stop", + "finished_monotonic_seconds": 151985.437735, + "first_output_monotonic_seconds": 151942.522499, + "measured_sse_events": 1011, + "output": "**MEMO: GPU Capacity \u2014 Buy More or Use What We Have Better?**\n\n**To:** Engineering Leadership\n**From:** Infrastructure Team\n**Re:** Recommendation on AI hardware capacity for the next two quarters\n\n**Summary and recommendation**\n\nWe recommend that we spend the next quarter improving utilisation of our existing fleet before committing to any new hardware purchases. We are not saying we will never need more GPUs; we are saying that the evidence we have today does not justify the spend, and that a focused effort on scheduling, batching, and workload consolidation will either close the gap entirely or give us the data to buy with confidence. This is the reversible option, and reversibility matters more than usual here.\n\n**Where we actually stand**\n\nOur utilisation numbers look worse than they are, but not by much. Across the fleet, headline GPU utilisation sits around 38 percent, which invites the obvious question of why we would buy more of something we use barely a third of. The honest answer is that raw utilisation is a misleading metric: much of that idle time is memory residency for models that take minutes to load, and some of it is headroom we deliberately hold for latency-sensitive inference paths. When we adjust for those factors, effective utilisation is closer to 55 to 60 percent. That is still not good, but it means the realistic upside from better utilisation is meaningful rather than transformative \u2014 perhaps 20 to 25 percent more effective capacity, not the doubling that the raw numbers suggest.\n\nThat estimate carries real uncertainty. Our telemetry on memory residency is patchy, and we have never run a sustained experiment with aggressive model swapping or multi-tenant batching on the inference tier. The 20 to 25 percent figure is an informed guess, not a measured result. This is precisely why we should run the experiment: the cost of finding out is a quarter of engineering time, while the cost of guessing wrong in either direction is much larger.\n\n**The cost picture**\n\nThe purchase option on the table is roughly $180K in capital plus a meaningful increase in colocation power and cooling, which we estimate at $3.5K per month recurring. Against that, the utilisation effort is roughly 1.5 engineer-quarters, or about $90K in fully loaded time. On paper the utilisation path is cheaper, but the more important asymmetry is what each option commits us to. Hardware is a bet on our current workload shape persisting. If our inference traffic mix shifts \u2014 and it has shifted twice in the last year \u2014 sunk accelerators are exactly that: sunk. Engineering time spent on scheduling and batching produces knowledge and tooling that retain value even if the capacity problem comes back, because those systems make any future fleet, purchased or not, cheaper to run.\n\n**Latency and reliability**\n\nThe strongest argument for buying is latency. Our p99 inference latency has drifted upward as batch queues have grown, and two of our product teams have flagged it as a user-facing problem. We take this seriously, and we want to be clear that utilisation work is not free of latency risk: tighter packing means less slack, and a poorly tuned scheduler can turn a capacity problem into an outage. This is the genuine trade-off. Our position is that we can improve packing while holding latency SLOs fixed as a hard constraint, and that if we cannot, that failure is itself decisive evidence for buying. Reliability cuts the other way: our current fleet has no single point of failure, and adding a small number of new nodes would actually concentrate risk unless we bought enough to spread across racks \u2014 which pushes the purchase toward the larger, harder-to-reverse end of the scale.\n\n**Opportunity cost**\n\nThe utilisation effort is not free. It would consume the same two engineers who are currently slated to build the fine-tuning pipeline, which several stakeholders consider our highest-value project this half. Delaying that work has a real cost, and we do not want to bury it. Our proposal is to timebox the utilisation work to one quarter with a pre-agreed decision gate: if effective capacity has not improved by at least 15 percent, or if latency SLOs have been threatened more than twice, we escalate the hardware request immediately with the data in hand.\n\n**What we are asking for**\n\nApprove one quarter of focused utilisation work with a hard decision gate at the end, and pre-approve the hardware purchase contingent on the gate failing. If the experiment succeeds, we defer roughly $180K and likely avoid it altogether. If it fails, we buy with evidence rather than instinct, and we will have a better-run fleet to add the new hardware to. Either way, we end the quarter knowing more than we do today, which is more than can be said for simply ordering more machines and hoping the utilisation question goes away.\n\nWe are happy to walk through the numbers in detail at Thursday's planning session.", + "output_characters": 4948, + "output_sha256": "24b30a1f093e5f92275f3597939fc1a7e93300161b43c9c3333549eaa791e3c1", + "prompt_tokens": 122, + "reasoning_characters": 62, + "reasoning_sha256": "7eddaec104351da3aba6059600be80b14d17920bd2df8ba3f1ac3d20ffb662d1", + "response_tail_seconds": 0.002397, + "stall": { + "arrival_window_gaps": 11, + "arrival_window_max_gap_seconds": 3.10212, + "arrival_window_p95_gap_seconds": 3.10212, + "events": 1011, + "max_gap_seconds": 3.457738, + "median_gap_seconds": 0.049782, + "p95_gap_seconds": 0.066481, + "spanning_gap_seconds": 0.05871 + }, + "started_monotonic_seconds": 151941.805084, + "stream": 1, + "stream_done_marker": true, + "stream_sha256": "d763baaa598339fee95878588c506abd49958821bb2ea519a270355dcc45737f", + "time_to_first_visible_seconds": 1.136055, + "time_to_last_output_seconds": 43.630254, + "ttft_seconds": 0.717415, + "wall_seconds": 43.632651 + } + ], + "incumbents_finished_before_newcomer_first_output": 0, + "newcomer": { + "completion_tokens": 256, + "decode_seconds": 4.120949, + "decode_tokens_per_second": 61.879, + "event_seconds": [ + 12.634163, + 12.794535, + 12.794618, + 12.794634, + 12.794649, + 12.794665, + 12.794683, + 12.794694, + 12.794704, + 12.933362, + 12.93343, + 12.933443, + 12.933454, + 12.933465, + 12.933475, + 12.933486, + 12.933496, + 13.062423, + 13.062485, + 13.062499, + 13.062511, + 13.062522, + 13.062533, + 13.062543, + 13.062553, + 13.193329, + 13.193395, + 13.193409, + 13.193422, + 13.193432, + 13.193443, + 13.193453, + 13.193463, + 13.320093, + 13.320169, + 13.320182, + 13.320197, + 13.320208, + 13.32022, + 13.32023, + 13.32024, + 13.447447, + 13.447515, + 13.447528, + 13.447542, + 13.447555, + 13.447566, + 13.447577, + 13.447587, + 13.573059, + 13.573126, + 13.57314, + 13.573152, + 13.573164, + 13.573174, + 13.573184, + 13.573194, + 13.70834, + 13.708404, + 13.708419, + 13.708434, + 13.708447, + 13.708459, + 13.708473, + 13.708482, + 13.833819, + 13.833886, + 13.8339, + 13.833915, + 13.833925, + 13.833936, + 13.833946, + 13.833956, + 13.958933, + 13.958999, + 13.959013, + 13.959024, + 13.959041, + 13.959051, + 13.959061, + 13.95907, + 14.077842, + 14.077911, + 14.077924, + 14.077936, + 14.077947, + 14.077957, + 14.077967, + 14.077978, + 14.206833, + 14.206895, + 14.206909, + 14.206922, + 14.206935, + 14.206946, + 14.206955, + 14.206965, + 14.323376, + 14.323434, + 14.323448, + 14.323459, + 14.32347, + 14.32348, + 14.323492, + 14.323502, + 14.443554, + 14.443633, + 14.443648, + 14.443661, + 14.443681, + 14.443692, + 14.443703, + 14.443713, + 14.573563, + 14.573643, + 14.573658, + 14.57367, + 14.57368, + 14.573691, + 14.573701, + 14.573711, + 14.696832, + 14.696869, + 14.696882, + 14.696894, + 14.696906, + 14.696918, + 14.696928, + 14.696938, + 14.822492, + 14.822523, + 14.822537, + 14.822549, + 14.822566, + 14.82258, + 14.822594, + 14.822627, + 14.947019, + 14.947085, + 14.947098, + 14.947111, + 14.947122, + 14.947133, + 14.947143, + 14.947153, + 15.048161, + 15.048179, + 15.048193, + 15.048204, + 15.048222, + 15.173763, + 15.173835, + 15.17385, + 15.173862, + 15.173873, + 15.173883, + 15.173893, + 15.173903, + 15.295483, + 15.295549, + 15.295565, + 15.295579, + 15.295593, + 15.29563, + 15.295641, + 15.295651, + 15.415205, + 15.41527, + 15.415283, + 15.415295, + 15.415308, + 15.415319, + 15.415328, + 15.415353, + 15.542039, + 15.542114, + 15.542128, + 15.54214, + 15.542152, + 15.542162, + 15.542171, + 15.54218, + 15.659046, + 15.65911, + 15.659124, + 15.659135, + 15.659148, + 15.659158, + 15.659168, + 15.659178, + 15.784059, + 15.784125, + 15.784138, + 15.784153, + 15.784165, + 15.784175, + 15.784187, + 15.784196, + 15.909016, + 15.90908, + 15.909094, + 15.909114, + 15.909125, + 15.909136, + 15.909146, + 15.909156, + 16.030701, + 16.030768, + 16.030781, + 16.030793, + 16.030804, + 16.030814, + 16.030825, + 16.030835, + 16.152445, + 16.152521, + 16.152535, + 16.152549, + 16.15256, + 16.152571, + 16.152582, + 16.152592, + 16.273587, + 16.273684, + 16.273698, + 16.273714, + 16.273726, + 16.273736, + 16.273748, + 16.273758, + 16.392424, + 16.392487, + 16.3925, + 16.39252, + 16.392533, + 16.392543, + 16.392553, + 16.512684, + 16.512757, + 16.512771, + 16.512783, + 16.512794, + 16.512805, + 16.512817, + 16.512827, + 16.635447, + 16.635525, + 16.635539, + 16.635551, + 16.635564, + 16.635575, + 16.635585, + 16.635595, + 16.75507, + 16.755099, + 16.755112 + ], + "finish_reason": "length", + "finished_monotonic_seconds": 151960.287637, + "first_output_monotonic_seconds": 151956.159563, + "measured_sse_events": 256, + "output": " next action. The repository contains a service, tests, documentation, and release notes. Each observation records behaviour, evidence, constraints, and the next action. The repository contains a service, tests, documentation, and release notes. Each observation records behaviour, evidence, constraints, and the next action. The repository contains a service, tests, documentation, and release notes. Each observation records behaviour, evidence, constraints, and the next action. The repository contains a service, tests, documentation, and release notes. Each observation records behaviour, evidence, constraints, and the next action. The repository contains a service, tests, documentation, and release notes. Each observation records behaviour, evidence, constraints, and the next action. The repository contains a service, tests, documentation, and release notes. Each observation records behaviour, evidence, constraints, and the next action. The repository contains a service, tests, documentation, and release notes. Each observation records behaviour, evidence, constraints, and the next action. The repository contains a service, tests, documentation, and release notes. Each observation records behaviour, evidence, constraints, and the next action. The repository contains a service, tests, documentation, and release notes. 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Each observation records behaviour, evidence, constraints, and the next action. The repository contains a service, tests, documentation, and release notes. Each observation records behaviour, evidence, constraints, and the next action. The repository contains a service, tests, documentation, and release notes. 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The repository contains a service, tests, documentation, and release notes. Each observation records behaviour, evidence, constraints, and the next action. The repository contains a service, tests, documentation, and release notes. Each observation records behaviour, evidence, constraints, and the next action. The repository contains a service, tests, documentation, and release notes. Each observation records behaviour, evidence, constraints, and the next action. The repository contains a service, tests, documentation, and release notes. Each observation records behaviour, evidence, constraints, and the next action. The repository contains a service, tests, documentation, and release notes. Each observation records behaviour, evidence, constraints, and the next action. The repository contains a service, tests, documentation, and release notes. Each observation records behaviour, evidence, constraints, and the next action. The repository contains a service, tests, documentation, and release notes. Each observation records behaviour, evidence, constraints, and the next action. The repository contains a service, tests, documentation, and release notes. Each observation records behaviour, evidence, constraints, and the next action. The repository contains a service, tests, documentation, and release notes. Each observation records behaviour, evidence, constraints, and the next action. The repository contains a service, tests, documentation, and release notes. Each observation records behaviour, evidence, constraints, and the next action. The repository contains a service, tests, documentation, and release notes. Each observation records behaviour, evidence, constraints, and the next action. The repository contains a service, tests, documentation, and release notes. Each observation records behaviour, evidence, constraints, and the next action. The repository contains a service, tests, documentation, and release notes. Each observation records behaviour, evidence, constraints, and the next action. The repository contains a service, tests, documentation, and release notes. Each observation records behaviour, evidence, constraints, and the next action. The repository contains a service, tests, documentation, and release notes. Each observation records behaviour, evidence, constraints, and the next action. The repository contains a service, tests, documentation, and release notes. Each observation records behaviour, evidence, constraints, and the next action. The repository contains a service, tests, documentation, and release notes. Each observation records behaviour, evidence, constraints, and the next action. The repository contains a service, tests, documentation, and release notes. Each observation records behaviour, evidence, constraints, and the next action. The repository contains a service, tests, documentation, and release notes. Each observation records behaviour, evidence, constraints, and the next action. The repository contains a service, tests, documentation, and release notes. Each observation records behaviour, evidence, constraints, and the next action. The repository contains a service, tests, documentation, and release notes. Each observation records behaviour, evidence, constraints, and the next action. The repository contains a service, tests, documentation, and release notes. Each observation records behaviour, evidence, constraints, and the next action. The repository contains a service, tests, documentation, and release notes. Each observation records behaviour, evidence, constraints, and the next action. The repository contains a service, tests, documentation, and release notes. Each observation records behaviour, evidence, constraints, and the next action. The repository contains a service, tests, documentation, and release notes. Each observation records behaviour, evidence, constraints, and the next action. The repository contains a service, tests, documentation, and release notes. Each observation records behaviour, evidence, constraints, and the next action. The repository contains a service, tests, documentation, and release notes. Each observation records behaviour, evidence, constraints, and the next action. The repository contains a service, tests, documentation, and release notes. Each observation records behaviour, evidence, constraints, and the next action. The repository contains a service, tests, documentation, and release notes. Each observation records behaviour, evidence, constraints, and the next action. 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This memo lays out my recommendation and the reasoning behind it, with the caveat that several of our assumptions deserve scrutiny.\n\n**The situation**\n\nOur four A100 nodes currently run at a mean GPU utilisation of roughly 38% over a 24-hour window, but peak-hour demand regularly saturates capacity, and we've had three incidents in the last two months where inference queues backed up enough to breach our internal latency SLO. The obvious reading \u2014 \"we're out of capacity\" \u2014 is only half true. We are out of capacity at peak, and we are wasting capacity everywhere else. Those are different problems with different remedies.\n\n**The case for buying**\n\nNew hardware is the fastest path to headroom. 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The case is not that our hardware is adequate \u2014 it frequently is not \u2014 but that we do not yet know enough about our actual demand to buy intelligently, and the options available to us differ sharply in cost, reversibility, and risk.\n\n**Where we stand**\n\nOur current fleet consists of eight A100-class cards distributed across two servers, plus a handful of consumer-grade cards used for experimentation. Peak utilisation on the primary cluster regularly hits 95 percent during training runs, while overnight and weekend utilisation hovers near 15 percent. Average utilisation across the week is roughly 40 percent. In other words, we are simultaneously capacity-constrained and wasteful, which is the classic signature of a scheduling problem rather than a pure capacity problem.\n\nThe financial picture reinforces this. 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The repository contains a service, tests, documentation, and release notes. Each observation records behaviour, evidence, constraints, and the next action. The repository contains a service, tests, documentation, and release notes. Each observation records behaviour, evidence, constraints, and the next action. The repository contains a service, tests, documentation, and release notes. Each observation records behaviour, evidence, constraints, and the next action. The repository contains a service, tests, documentation, and release notes. Each observation records behaviour, evidence, constraints, and the next action. The repository contains a service, tests, documentation, and release notes. Each observation records behaviour, evidence, constraints, and the next action. The repository contains a service, tests, documentation, and release notes. Each observation records behaviour, evidence, constraints, and the next action. The repository contains a service, tests, documentation, and release notes. Each observation records behaviour, evidence, constraints, and the next action. The repository contains a service, tests, documentation, and release notes. Each observation records behaviour, evidence, constraints, and the next action. The repository contains a service, tests, documentation, and release notes. Each observation records behaviour, evidence, constraints, and the next action. The repository contains a service, tests, documentation, and release notes. Each observation records behaviour, evidence, constraints, and the next action. The repository contains a service, tests, documentation, and release notes. Each observation records behaviour, evidence, constraints, and the next action. The repository contains a service, tests, documentation, and release notes. Each observation records behaviour, evidence, constraints, and the next action. The repository contains a service, tests, documentation, and release notes. Each observation records behaviour, evidence, constraints, and the next action. The repository contains a service, tests, documentation, and release notes. Each observation records behaviour, evidence, constraints, and the next action. The repository contains a service, tests, documentation, and release notes. Each observation records behaviour, evidence, constraints, and the next action. The repository contains a service, tests, documentation, and release notes. Each observation records behaviour, evidence, constraints, and the next action. The repository contains a service, tests, documentation, and release notes. Each observation records behaviour, evidence, constraints, and the next action. The repository contains a service, tests, documentation, and release notes. Each observation records behaviour, evidence, constraints, and the next action. The repository contains a service, tests, documentation, and release notes. Each observation records behaviour, evidence, constraints, and the next action. The repository contains a service, tests, documentation, and release notes. Each observation records behaviour, evidence, constraints, and the next action. The repository contains a service, tests, documentation, and release notes. Each observation records behaviour, evidence, constraints, and the next action. The repository contains a service, tests, documentation, and release notes. Each observation records behaviour, evidence, constraints, and the next action. The repository contains a service, tests, documentation, and release notes. Each observation records behaviour, evidence, constraints, and the next action. The repository contains a service, tests, documentation, and release notes. Each observation records behaviour, evidence, constraints, and the next action. The repository contains a service, tests, documentation, and release notes. Each observation records behaviour, evidence, constraints, and the next action. The repository contains a service, tests, documentation, and release notes. Each observation records behaviour, evidence, constraints, and the next action. The repository contains a service, tests, documentation, and release notes. Each observation records behaviour, evidence, constraints, and the next action. The repository contains a service, tests, documentation, and release notes. Each observation records behaviour, evidence, constraints, and the next action. The repository contains a service, tests, documentation, and release notes. Each observation records behaviour, evidence, constraints, and the next action. The repository contains a service, tests, documentation, and release notes. Each observation records behaviour, evidence, constraints, and the next action. The repository contains a service, tests, documentation, and release notes. Each observation records behaviour, evidence, constraints, and the next action. The repository contains a service, tests, documentation, and release notes. Each observation records behaviour, evidence, constraints, and the next action. The repository contains a service, tests, documentation, and release notes. Each observation records behaviour, evidence, constraints, and the next action. The repository contains a service, tests, documentation, and release notes. Each observation records behaviour, evidence, constraints, and the next action. The repository contains a service, tests, documentation, and release notes. Each observation records behaviour, evidence, constraints, and the next action. 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Queue times during peak hours have crept from seconds to minutes, and two of our internal tools \u2014 the document summarisation service and the code-assist endpoint \u2014 have started competing for the same GPU pool in ways that are increasingly visible to users. The obvious question on the table is whether we should buy another node, roughly \u00a338k all-in with networking and rack costs, or invest the next quarter in squeezing more out of what we already own. I want to lay out my thinking on that trade-off, because I don't think it's as close a call as the queue-time graphs suggest.\n\n**The case for buying**\n\nThe strongest argument for new hardware is latency. 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Our inference fleet is running hot during business hours, queue times spike during the morning window, and the nightly batch jobs are starting to collide with daytime traffic. The instinctive response is to buy more cards. I want to argue, carefully, that the better first move is to spend the next quarter squeezing more out of what we already own, and to buy hardware only if that effort demonstrably fails.\n\nStart with the economics, because they're less favorable than they first appear. The sticker price of new accelerators is only the visible portion of the cost. Once you include the server chassis, networking, power provisioning, the additional rack space we'd need to negotiate with facilities, and the engineering time to integrate and operate the new nodes, the true cost of adding capacity is roughly double what the procurement quote suggests. 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Peak-hour GPU utilisation sits around 85\u201390%, queue times for batch jobs have crept from minutes to nearly an hour, and we have twice had to deprioritise experimental workloads to keep customer-facing latency within SLA. The obvious question on the table is whether we should purchase additional hardware now or invest in squeezing more out of the fleet we already own. I want to lay out how I'm thinking about this trade-off and make a recommendation.\n\n**The case for buying**\n\nBuying capacity is simple and fast in its effect. Lead time on new accelerators is currently four to six weeks, and once installed, headroom problems largely disappear for a year or more. It also buys us reliability in a literal sense: a larger fleet means a single failed card or node degrades us less, and we can keep a genuine spare pool rather than running everything at the edge of saturation. Right now, if two nodes go down during a peak window, we breach SLA. That is a real business risk, not a hypothetical one.\n\n**The case against buying \u2014 and for utilisation work**\n\nThe counterargument is cost, and not just the purchase price. At current utilisation patterns, I estimate roughly 30\u201335% of our GPU-hours go to idle or poorly packed work: models held resident for sporadic traffic, batch jobs scheduled conservatively, and fragmentation where a job needs 80GB and the only free card has 40GB free. If we recover even half of that, we defer a hardware purchase by two to three quarters, which at our scale is a meaningful capital saving. There is also an opportunity cost in the other direction: every dollar spent on hardware we don't yet need is a dollar not spent on the model-quality and product work that actually differentiates us.\n\nThe utilisation work itself is not free, though. Quantisation of our two largest models, dynamic batching, better scheduling, and moving dev/experiment workloads to off-peak windows is realistically six to eight weeks of engineering time from two people \u2014 time not spent on the roadmap. And some of it carries risk: aggressive quantisation changes model behaviour, and tighter packing means less slack when something fails. We would be trading reliability margin for cost efficiency, and we should be honest that we're doing so.\n\n**Reversibility**\n\nThis is where I think the decision actually turns. Hardware purchases are largely irreversible at our scale. If we buy and demand doesn't materialise, we own depreciating assets and pay power and hosting regardless. If we invest in utilisation and it doesn't fully deliver, we've spent engineering time, but we've also built scheduling and batching infrastructure that pays off permanently \u2014 and we can still buy hardware afterwards, having lost perhaps six weeks. The utilisation path is the reversible one, and it preserves our option to buy later with better information about our true demand curve. Buying now, by contrast, forecloses little but commits capital on the assumption that current growth continues, which is exactly the assumption I'm least confident about.\n\n**Recommendation**\n\nInvest in utilisation first, with a defined trigger to buy. Specifically: commit two engineers for eight weeks to quantisation, dynamic batching, and scheduling improvements, targeting a reduction of peak utilisation to below 70%. If we hit that, we defer purchase and reassess in Q3. If we miss it \u2014 or if demand growth pushes us back above 85% before the work lands \u2014 we proceed with the hardware order immediately, having lost only weeks, not quarters. I'd also propose we pre-qualify a vendor and pricing now so that, if the trigger fires, procurement doesn't add another month of lead time.\n\n**Uncertainty**\n\nI want to flag what I don't know. Our demand forecast has been wrong in both directions this year; a large customer win could make this whole analysis moot within weeks. Quantisation gains are model-dependent, and our largest model may resist the 30% recovery I'm assuming. And there's a hidden variable in reliability: our current failure rate data covers only twelve months, which may understate tail risk. If the team believes the reliability exposure is worse than I've described, I'd weight the purchase case more heavily.\n\nMy overall confidence in the recommendation is moderate \u2014 roughly 65/35. The asymmetry of reversibility is what tips it, not certainty about the numbers. 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After several weeks of measurement and discussion, we recommend the second option \u2014 improving utilisation first \u2014 with a small, pre-approved budget held in reserve for hardware if our assumptions prove wrong. Here is the reasoning.\n\nThe case for buying more hardware is easy to state. Our p99 latency on the primary inference cluster has crept above the 400ms threshold that the product team considers acceptable during peak hours, and the obvious fix for saturation is more capacity. But the obvious fix is not always the right one. When we instrumented the fleet properly, we found that average GPU utilisation sits around 38%, with individual nodes ranging from 12% to 70%. The problem is not that we lack compute; it is that our compute is badly distributed. Batch sizes are conservative, models are pinned to specific nodes rather than scheduled dynamically, and overnight traffic troughs leave expensive silicon idle for six to eight hours a day. Buying more hardware in this state would mean paying to replicate our inefficiency.\n\nThe cost asymmetry matters here. A modest expansion of the cluster would run to roughly $180K in capital plus increased colocation and power, and that spend is largely irreversible. GPUs depreciate quickly, our vendor lock-in on the current interconnect makes resale awkward, and once the machines are racked, the operating expense continues whether or not we need them. Improving utilisation, by contrast, costs perhaps six weeks of two engineers' time \u2014 call it $60K fully loaded \u2014 and the work is inherently valuable regardless of outcome. Better batching, dynamic scheduling, and model consolidation onto shared serving infrastructure are improvements we would want even if we later bought hardware anyway. That reversibility is worth a great deal: if utilisation work stalls or delivers less than projected, we have lost time but gained knowledge, and the hardware option remains fully open.\n\nLatency deserves honest treatment, because it is the strongest argument on the other side. Some of our latency tail is genuinely caused by queueing at peak, and no amount of scheduling cleverness fully eliminates queueing when demand exceeds capacity for sustained periods. Our modelling suggests utilisation work can cut p99 by 25\u201335% at peak, which likely brings us back under threshold most days \u2014 but \"most days\" is doing real work in that sentence. If the product roadmap adds a latency-sensitive feature in Q3, as has been floated, the margin we recover may be thinner than we'd like. This is the principal uncertainty in our recommendation, and it is why we propose holding the hardware budget as a pre-approved contingency rather than abandoning it. Deciding now to defer purchase is not the same as deciding never to purchase.\n\nReliability cuts both ways. More nodes means more redundancy, which is a genuine reliability gain. But our incident history tells a more nuanced story: the two worst outages last quarter were caused by configuration drift across an over-provisioned, under-monitored fleet, not by capacity exhaustion. A smaller, better-utilised, more carefully orchestrated fleet is in some ways easier to keep healthy than a larger, sprawling one. Consolidation does concentrate risk, though \u2014 a single well-used node going down takes more work with it \u2014 so the utilisation plan must include better failover and health-checking, which we've scoped into the effort.\n\nThere is also the opportunity cost of the alternative. Those same engineers, if assigned to a hardware procurement and migration, would spend their quarter on racking, networking, and re-benchmarking rather than on the serving-layer improvements that the platform roadmap has needed for a year. Buying hardware consumes the very capacity we'd need to make the new hardware useful.\n\nSo the recommendation: fund the utilisation programme now, set a hard review point eight weeks out with concrete success criteria (p99 under 400ms at the 95th-percentile peak day, fleet utilisation above 55%), and pre-approve the hardware purchase to execute immediately if we miss. This sequencing costs us at most a quarter of delay in the worst case, and in the likely case it saves us a substantial, irreversible spend on capacity we may not need. We think the expected value clearly favours patience, and we're prepared to be held to the numbers.\n\nHappy to walk through the measurement data with anyone who wants the detail.", + "output_characters": 4792, + "output_sha256": "3fef79330dfd98cacb9987a4bb137372c6f17f5bcd51058cc497524a6eaff717", + "prompt_tokens": 124, + "reasoning_characters": 63, + "reasoning_sha256": "2bcf1d1c9f14d4e5ad1044caf5b22bca69b9515227beb96d42f82b74374eb8e5", + "response_tail_seconds": 0.008702, + "stall": { + "arrival_window_gaps": 12, + "arrival_window_max_gap_seconds": 3.140294, + "arrival_window_p95_gap_seconds": 3.107083, + "events": 955, + "max_gap_seconds": 3.507564, + "median_gap_seconds": 0.079181, + "p95_gap_seconds": 0.126923, + "spanning_gap_seconds": 0.08534 + }, + "started_monotonic_seconds": 152036.45713, + "stream": 2, + "stream_done_marker": true, + "stream_sha256": "c6c037dbb3cdff1ed0b36d069aa074d75ec78a45b3251504c6922a695059b578", + "time_to_first_visible_seconds": 2.792486, + 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67.391934, + 67.456589, + 67.523897 + ], + "finish_reason": "stop", + "finished_monotonic_seconds": 152103.988058, + "first_output_monotonic_seconds": 152037.163871, + "measured_sse_events": 992, + "output": "**MEMO: GPU Capacity \u2014 Buy More or Use What We Have Better**\n\n**To:** Engineering Leadership\n**From:** Infrastructure Team\n**Re:** Local AI hardware capacity planning for the next two quarters\n\nWe've reached the point where our local GPU fleet is running hot. Queue times for inference jobs have crept up, training runs are getting scheduled around each other, and a few engineers have started quietly routing work to cloud APIs to avoid waiting. That last detail deserves attention: when people route around internal infrastructure, it's a signal that the perceived cost of using what we own has exceeded the perceived cost of alternatives. The question in front of us is whether to buy more hardware or to invest in squeezing more out of the fleet we already have. My recommendation is that we do the latter first, deliberately and with a deadline, before committing capital to new machines.\n\nThe case for buying is straightforward and not wrong. Hardware prices are what they are, our workload forecast shows growth, and adding capacity is the fastest way to make the queue-time problem disappear. But that speed is exactly what should make us suspicious. Buying more capacity is the expensive version of fixing a scheduling problem, and we haven't yet demonstrated that our problem is a capacity problem rather than a utilisation problem. Current telemetry suggests our fleet sits at roughly 40\u201355% utilisation depending on the day, with long idle stretches overnight and sharp contention during working hours. That profile is characteristic of poor bin-packing and manual scheduling, not of a fleet that is genuinely too small. If we buy now, we will spend real money to formalise an inefficient pattern, and the new hardware will inherit the same scheduling habits that produced the current bottleneck.\n\nThe utilisation path, by contrast, is cheap in cash terms but expensive in attention. It means building a proper job queue with priorities, enabling batch size tuning and model quantisation where quality tradeoffs are acceptable, consolidating inference endpoints so small models share accelerators, and possibly moving batch training workloads to overnight windows. None of this is glamorous, and it will consume perhaps three to four engineer-weeks that would otherwise go to product work. That opportunity cost is real and I don't want to minimise it. But it is bounded, reversible in the sense that the tooling we build retains value regardless of what we later buy, and it produces information. If after this work utilisation stabilises at 75% or higher and queues still hurt, we will know with confidence that we need capacity \u2014 and we'll buy it with a much better sense of how much and what kind.\n\nLatency considerations cut both ways and deserve honest treatment. Local hardware, well-utilised, gives us predictable tail latency for interactive inference and freedom from cloud pricing volatility and rate limits. But a congested local fleet has worse tail latency than a cloud API, because our queueing is worse than theirs. Improving utilisation directly attacks the queueing term, which is where most of our latency pain lives today. Reliability is a related argument for the utilisation path: a fleet with headroom absorbs failures gracefully, and better scheduling with explicit priorities means that when something does fail, the important work still runs. Buying more hardware without improving operations just means we have more machines that can fail in less interesting ways.\n\nThere is also a reversibility asymmetry worth naming. Capital hardware is a one-way door in practice \u2014 it depreciates, it consumes rack space and power, and once purchased it shapes our architecture around its existence. Scheduling and consolidation work is a soft door: if we later buy hardware, the tooling still helps; if we don't, we've lost nothing but time. When two options have similar expected value, the reversible one should win, and here the reversible option also happens to be the cheaper one up front.\n\nI want to acknowledge the genuine uncertainty in this recommendation. Our workload forecast could be wrong in either direction. If a new product initiative lands next quarter and inference demand doubles, the utilisation work will have bought us time but not capacity, and we'll be buying hardware under time pressure, which is when bad purchasing decisions happen. Conversely, if demand flattens, new hardware would have been a costly mistake. The utilisation path hedges both scenarios better than the purchase path does, which is a large part of why I favour it.\n\nConcretely: I propose we spend the next six weeks on the scheduling, batching, and consolidation work, with a clear success criterion \u2014 interactive queue times under two minutes at 70%+ fleet utilisation. If we hit that bar and demand keeps growing, we bring a hardware purchase proposal to leadership with real data behind it. 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"finish_reason": "stop", + "finished_monotonic_seconds": 152232.153943, + "first_output_monotonic_seconds": 152165.867506, + "measured_sse_events": 1003, + "output": "**MEMO: GPU Capacity \u2014 Buy More or Use What We Have Better?**\n\n**To:** Engineering leadership\n**From:** Infrastructure working group\n**Re:** Recommendation on our next capacity decision\n\nWe've reached the point where our inference and fine-tuning workloads are bumping against the ceiling of the eight GPUs we currently own. The obvious question on the table is whether we should purchase another node or invest the next quarter in squeezing more out of what we already have. After looking at the numbers and, more importantly, at how our utilization actually behaves week to week, I'm recommending we spend the next quarter improving utilization before we buy anything. Here's the reasoning, along with where I think it could be wrong.\n\nThe case for buying is straightforward and not stupid. Our p95 batch latency has degraded from 340ms to 610ms over the past two months, and we've had to queue or shed low-priority jobs during the two peak windows each day. Every quarter we wait, we're presumably paying some cost in degraded product experience and in engineering time spent working around constraints. Hardware lead times are also nontrivial, so if we do eventually buy, starting the procurement conversation early has value in itself.\n\nBut when we actually instrumented the fleet, the picture changed. Our headline utilization number looks respectable at around 70 percent, but that average hides a lot. Roughly a third of our capacity is consumed by batch jobs \u2014 embedding refreshes, evaluation runs, fine-tuning experiments \u2014 that are scheduled whenever someone remembers to run them, not when the hardware is free. Meanwhile, our interactive inference traffic is bursty and predictable: heavy from 9am to noon and again from 2pm to 6pm, with genuine slack overnight and on weekends. In other words, we don't have a capacity shortage so much as a scheduling shortage. Batch work is colliding with interactive work at the worst possible moments, and idle capacity is sitting there at the times when we could be absorbing it.\n\nThat reframes the cost question. A new node is roughly $180K up front plus power, cooling, rack space, and \u2014 the number people forget \u2014 the ongoing operational burden of managing more hardware: driver updates, failure handling, and the cognitive load of a larger fleet. Improving utilization, by contrast, is mostly an engineering-time investment: a proper job queue with priorities, moving batch work into the overnight window, enabling memory-efficient batching, and possibly splitting one or two monolithic services so they can be scheduled independently. Our estimate is six to eight engineer-weeks. Even with generous assumptions about engineer cost, that's a fraction of the hardware spend, and it produces capabilities \u2014 real scheduling, real observability \u2014 that we'd need anyway even after buying more hardware.\n\nReliability cuts both ways, and I want to be honest about that. Better utilization means running the hardware closer to its limits, which leaves less headroom for spikes and failures. If we fill the overnight window with batch jobs, a job that overruns can bleed into the morning peak and cause exactly the latency degradation we're trying to avoid. This is a real risk, but it's a manageable one: hard deadlines on batch jobs, preemption, and a small deliberate reserve of capacity for interactive traffic. Buying hardware, by contrast, does improve reliability in the crude sense that more machines means more slack \u2014 but it also means more components that can fail and more surface area to operate.\n\nThe strongest argument for the utilization path, though, is reversibility. If we spend a quarter on scheduling and it doesn't deliver enough headroom, we've lost some engineer-time and we still have the option to buy \u2014 likely with better information about what we actually need, which might mean a smaller purchase or a different configuration. If we buy first and the demand we were worried about doesn't materialize, that capital is gone. Hardware is a one-way door with a maintenance contract attached; scheduling improvements are a door we can walk back through. There's also an opportunity cost to buying now: the hardware market is moving quickly, and a purchase deferred two quarters is likely to get us more performance per dollar.\n\nWhere could this recommendation be wrong? If our traffic grows faster than the 15 percent monthly we're currently projecting, utilization work becomes a treadmill we can't win, and we'd be better off buying immediately and doing both in parallel. If a major customer commitment lands next quarter, the calculus shifts too. My suggestion: commit to the utilization work now, define a concrete trigger \u2014 sustained p95 latency above 500ms after scheduling improvements, or utilization above 85 percent for two consecutive weeks \u2014 that automatically opens the procurement conversation. That way we're not choosing between the options so much as sequencing them sensibly.\n\nI'd like agreement on this direction by end of week so we can staff the scheduling work properly.", + "output_characters": 5064, + "output_sha256": "f3fa9a2feac112f167cb6c5422617c91eff9432f07a22e4a2f6fc9aad94b6056", + "prompt_tokens": 121, + "reasoning_characters": 62, + "reasoning_sha256": "7eddaec104351da3aba6059600be80b14d17920bd2df8ba3f1ac3d20ffb662d1", + "response_tail_seconds": 0.007729, + "stall": { + "arrival_window_gaps": 12, + "arrival_window_max_gap_seconds": 3.190288, + "arrival_window_p95_gap_seconds": 3.121096, + "events": 1003, + "max_gap_seconds": 3.485646, + "median_gap_seconds": 0.075487, + "p95_gap_seconds": 0.128132, + "spanning_gap_seconds": 0.097326 + }, + "started_monotonic_seconds": 152164.430885, + "stream": 1, + "stream_done_marker": true, + "stream_sha256": "edb5959fafaeefac6df8dfdca390a8076afdacc5d2ed2b293ea41f0259751328", + "time_to_first_visible_seconds": 2.662858, + 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Queue times during peak hours have crept from seconds to minutes, and the natural instinct is to open a purchase order. Before we do, I want to lay out the case as I see it, because I think the right answer is more nuanced than \"buy more\" or \"squeeze harder,\" and I want us to decide deliberately rather than by default.\n\n**The case for buying**\n\nThe honest argument for new hardware is that our peak demand is real, growing, and increasingly latency-sensitive. The product team's roadmap \u2014 the interactive assistant features shipping next quarter \u2014 assumes response times we currently cannot deliver at the 95th percentile. Hardware solves that immediately and completely. It also buys insurance: if a node fails during an incident, we have headroom to absorb the loss without degrading user experience. There's a real reliability argument here that utilisation work cannot fully address. You cannot schedule your way out of a dead GPU.\n\n**The case against buying, for now**\n\nBut the numbers give me pause. Our fleet-level utilisation sits around 40%, which is poor by any industry standard. The problem isn't capacity; it's that capacity and demand live in different hours. Our batch jobs run overnight on the same cards that sit idle each morning, while the interactive workload peaks midday on cards that then starve the batch queue. We are, in effect, buying peak capacity twice and using neither well. A new purchase made before we fix this would lock in the dysfunction at roughly double the necessary cost.\n\nThere's also the opportunity cost to weigh. The capital for two additional high-end nodes is roughly equivalent to a full engineering hire for a year, and the person we'd most want to hire is exactly the one who could build the scheduling and batching improvements that might make the purchase unnecessary. Spending the money on metal forecloses spending it on people, and people compound; metal depreciates.\n\n**Reversibility matters**\n\nThis is the point I keep returning to. Buying hardware is a largely irreversible decision \u2014 once purchased, the money is spent, and we're committed to the power, cooling, and maintenance overhead whether or not demand materialises. Improving utilisation is reversible and iterative: if a scheduling change makes latency worse, we roll it back in an afternoon. When one option is reversible and the other is not, and both plausibly address the problem, the reversible option should be tried first unless the cost of being wrong is severe. I don't believe it is. If we spend six weeks on utilisation work and it only gets us halfway, we've lost six weeks and gained real information about our true capacity needs.\n\n**What I propose**\n\nRun a focused, time-boxed utilisation effort over the next six weeks. The highest-value moves are consolidating the fragmented small jobs that currently pin whole GPUs for trivial workloads, shifting batch processing fully into the overnight window with a hard cutoff, and enabling dynamic batching on the inference services, which our own benchmarks suggest could absorb a substantial share of peak load on its own. In parallel, we instrument properly: per-workload latency percentiles, queue depth, and true utilisation per card, so that any future purchase decision rests on evidence rather than anecdote.\n\nIf, at the end of that period, the 95th-percentile latency for interactive work still misses our target during business hours, I will sponsor the hardware purchase without further debate \u2014 and we'll do it with a much sharper understanding of exactly how many nodes we need, which may well be fewer than we'd buy today.\n\n**Uncertainty I want to acknowledge**\n\nI could be wrong about the ceiling of utilisation gains. Some of our latency problems may be inherent to model size and batch interaction, not scheduling, and no amount of clever orchestration fixes physics. There's also execution risk: the six-week effort depends on engineers who have product commitments, and slipping timelines could leave us worse off than if we'd simply bought capacity. Finally, demand forecasts are forecasts; if the next quarter's traffic doubles, the whole calculus shifts toward hardware regardless of how well we schedule.\n\nMy recommendation, then: improve first, buy second, and set the decision date now so this doesn't drift. 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Jobs wait. Experiments get batched into overnight runs. People quietly schedule around the hardware instead of the hardware serving them. The question on the table is whether we buy more cards or invest the next quarter in squeezing more out of what we own. I want to lay out how I'm thinking about this, because the right answer is less obvious than it looks, and I'd like us to decide it together rather than by default.\n\nThe case for buying is the easy one to make. Our utilisation numbers look healthy on paper \u2014 the cards are busy most of the day \u2014 but \"busy\" is not the same as \"useful.\" A meaningful fraction of our GPU-hours go to jobs that are small, poorly batched, or run at low efficiency because someone needed a result now and grabbed whatever was free. From a pure throughput standpoint, we could plausibly recover twenty to thirty percent of capacity with better scheduling, batching, and a shared job queue that stops the loudest voice from winning. That's a real number, and it's essentially free compared to the capital cost of new hardware.\n\nBut throughput isn't the whole story, and this is where I want to push back on the pure-utilisation position. Latency matters, and it matters in a way that utilisation graphs hide. When a researcher has to wait four hours to iterate on an idea, the cost isn't the GPU time \u2014 it's the idea they didn't have, the experiment they didn't run, the bug they found a week later than they would have. Our team's output is limited by iteration speed more than by raw compute. Squeezing utilisation up usually means squeezing latency up too: fuller queues, longer waits, more batching. There's a real tension there, and I don't think we can optimise both simultaneously. If we push utilisation to ninety percent, wait times will get worse before they get better, and morale along with them.\n\nThen there's reliability, which we've been lucky on so far and shouldn't count on continuing to be. Right now, one card going down takes a noticeable bite out of capacity, and two going down at once would be genuinely painful. More hardware is also redundancy. That argument is weaker than it sounds \u2014 a second card of the same model shares failure modes with the first \u2014 but it's not nothing, and it's worth weighing against the fact that our current setup has no meaningful headroom for a hardware incident.\n\nOn cost: new hardware is a capital expense with a depreciation clock ticking on it. GPU prices are volatile, and anything we buy now is likely to look mediocre in eighteen months as the market moves. That's an argument for buying less, later, and only when we're sure the demand is durable. It's also an argument for the utilisation path, which costs engineering time \u2014 real, scarce engineering time \u2014 rather than cash. And that's the opportunity cost I keep coming back to: the engineers who would do the scheduling and batching work are the same people who'd be shipping product features. A quarter of infrastructure polish is a quarter of product we don't build. Buying hardware, by contrast, is mostly a procurement decision that costs money rather than attention.\n\nWhich brings me to reversibility, the factor I think should tip this. Money spent on hardware is hard to un-spend; cards depreciate, and reselling them is a hassle at a loss. Engineering effort on scheduling and batching is largely recoverable \u2014 the tooling we build (a proper job queue, better monitoring, model quantisation where it makes sense) has value even if we later buy hardware anyway. The utilisation path is the reversible option. The purchase is the committed one.\n\n**My recommendation:** spend the next six to eight weeks on utilisation \u2014 a shared scheduler, aggressive batching, quantisation for inference workloads, and honest instrumentation so we can see where hours actually go \u2014 and set a concrete trigger now: if, after that work, p95 job wait times still exceed two hours during working hours, we approve the hardware purchase without re-litigating the whole question. That gives us a decision framework rather than a one-time judgement call.\n\nI want to be honest about the uncertainty here. My twenty-to-thirty-percent recovery figure is an estimate, not a measurement; if instrumentation shows we can only recover ten, the calculus shifts toward buying sooner. And if the team grows this quarter, all of this changes. 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The repository contains a service, tests, documentation, and release notes. Each observation records behaviour, evidence, constraints, and the next action. The repository contains a service, tests, documentation, and release notes. Each observation records behaviour, evidence, constraints, and the next action. The repository contains a service, tests, documentation, and release notes. 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The repository contains a service, tests, documentation, and release notes. Each observation records behaviour, evidence, constraints, and the next action. The repository contains a service, tests, documentation, and release notes. Each observation records behaviour, evidence, constraints, and the next action. The repository contains a service, tests, documentation, and release notes. 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question on the table is whether we should buy more hardware or get more out of what we already have. I've been thinking about this for the past two weeks, and I want to lay out my reasoning before we commit either way, because the two options are not symmetric and the framing we choose will shape the decision more than any single number will.\n\nThe case for buying more hardware is straightforward and, on its face, compelling. Our queue times during peak hours regularly exceed forty minutes, which is long enough that people context-switch away and lose momentum. Latency in this sense isn't just an inconvenience; it's a tax on iteration speed, and iteration speed is arguably our main competitive advantage as a small team. Every hour a researcher waits for a training run is an hour the experiment loop slows down. 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This memo lays out how I see the trade-offs and offers a recommendation, with the caveat that several of the numbers below are estimates and I'd welcome correction from those closer to the workloads.\n\n**Where we actually stand**\n\nOur current fleet runs at roughly 60\u201365% average utilisation, but that average hides the real problem: utilisation is heavily peaked. Mornings and late afternoons push individual nodes past 90%, while overnight and weekend capacity sits largely idle. The consequence is that our p95 inference latency has degraded from about 400ms to over 1.2 seconds during peak windows, and we've had two incidents this quarter where batch jobs queued behind interactive traffic and blew past their SLAs. 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This memo is an attempt to be honest rather than comfortable.\n\n**Where we actually stand**\n\nOur current fleet runs at roughly 35\u201340% utilisation on a good week, and the variance is the striking part. During batch inference windows and model evaluation runs we saturate everything we own; for long stretches in between, the cards sit effectively idle. Peak demand is real, but it is narrow, predictable, and largely self-inflicted by how we schedule work. That profile matters, because it changes the question from \"do we have enough capacity?\" to \"are we using the capacity we have well?\"\n\n**The case for buying**\n\nBuying more hardware has obvious appeal. 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Concretely, that means batch scheduling, better queueing, model quantisation where quality permits, and a shared reservation system, with a decision checkpoint at the end of the quarter. If measured demand still exceeds effective capacity after those changes, we should buy \u2014 but we will then be buying with evidence rather than anxiety.\n\n**Where we stand**\n\nOur current fleet runs hot during working hours and nearly idle overnight. Peak utilisation on the two large GPU nodes regularly exceeds 90 percent, while the daily average sits closer to 30 percent. That gap is the whole problem in miniature. We are not capacity-constrained in any simple sense; we are constrained at specific hours by specific workloads, most of which are interactive and therefore latency-sensitive. 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The repository contains a service, tests, documentation, and release notes. Each observation records behaviour, evidence, constraints, and the next action. The repository contains a service, tests, documentation, and release notes. Each observation records behaviour, evidence, constraints, and the next action. The repository contains a service, tests, documentation, and release notes. Each observation records behaviour, evidence, constraints, and the next action. The repository contains a service, tests, documentation, and release notes. Each observation records behaviour, evidence, constraints, and the next action. The repository contains a service, tests, documentation, and release notes. Each observation records behaviour, evidence, constraints, and the next action. The repository contains a service, tests, documentation, and release notes. Each observation records behaviour, evidence, constraints, and the next action. The repository contains a service, tests, documentation, and release notes. Each observation records behaviour, evidence, constraints, and the next action. The repository contains a service, tests, documentation, and release notes. Each observation records behaviour, evidence, constraints, and the next action. The repository contains a service, tests, documentation, and release notes. Each observation records behaviour, evidence, constraints, and the next action. The repository contains a service, tests, documentation, and release notes. Each observation records behaviour, evidence, constraints, and the next action. The repository contains a service, tests, documentation, and release notes. Each observation records behaviour, evidence, constraints, and the next action. The repository contains a service, tests, documentation, and release notes. Each observation records behaviour, evidence, constraints, and the next action. The repository contains a service, tests, documentation, and release notes. Each observation records behaviour, evidence, constraints, and the next action. The repository contains a service, tests, documentation, and release notes. Each observation records behaviour, evidence, constraints, and the next action. The repository contains a service, tests, documentation, and release notes. Each observation records behaviour, evidence, constraints, and the next action. The repository contains a service, tests, documentation, and release notes. Each observation records behaviour, evidence, constraints, and the next action. The repository contains a service, tests, documentation, and release notes. Each observation records behaviour, evidence, constraints, and the next action. The repository contains a service, tests, documentation, and release notes. Each observation records behaviour, evidence, constraints, and the next action. The repository contains a service, tests, documentation, and release notes. Each observation records behaviour, evidence, constraints, and the next action. The repository contains a service, tests, documentation, and release notes. Each observation records behaviour, evidence, constraints, and the next action. The repository contains a service, tests, documentation, and release notes. Each observation records behaviour, evidence, constraints, and the next action. The repository contains a service, tests, documentation, and release notes. Each observation records behaviour, evidence, constraints, and the next action. The repository contains a service, tests, documentation, and release notes. Each observation records behaviour, evidence, constraints, and the next action. The repository contains a service, tests, documentation, and release notes. Each observation records behaviour, evidence, constraints, and the next action. The repository contains a service, tests, documentation, and release notes. Each observation records behaviour, evidence, constraints, and the next action. The repository contains a service, tests, documentation, and release notes. Each observation records behaviour, evidence, constraints, and the next action. The repository contains a service, tests, documentation, and release notes. Each observation records behaviour, evidence, constraints, and the next action. The repository contains a service, tests, documentation, and release notes. Each observation records behaviour, evidence, constraints, and the next action. The repository contains a service, tests, documentation, and release notes. Each observation records behaviour, evidence, constraints, and the next action. The repository contains a service, tests, documentation, and release notes. Each observation records behaviour, evidence, constraints, and the next action. The repository contains a service, tests, documentation, and release notes. Each observation records behaviour, evidence, constraints, and the next action. The repository contains a service, tests, documentation, and release notes. Each observation records behaviour, evidence, constraints, and the next action. The repository contains a service, tests, documentation, and release notes. Each observation records behaviour, evidence, constraints, and the next action. The repository contains a service, tests, documentation, and release notes. Each observation records behaviour, evidence, constraints, and the next action. The repository contains a service, tests, documentation, and release notes. Each observation records behaviour, evidence, constraints, and the next action. 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we already have. I want to lay out how I'm thinking about this, because the right answer is less obvious than either the \"just buy more\" or \"just optimize\" camps suggest.\n\nStart with cost, because it frames everything else. A new cluster at the scale we'd need runs roughly $400K upfront, plus something on the order of $30K annually in power, cooling, and rack space once it's running. Against that, the utilisation work \u2014 better batching, continuous batching in the serving layer, quantization for the models that tolerate it, and smarter scheduling of batch jobs into idle windows \u2014 is mostly engineering time. Two engineers for six to eight weeks is a real cost, maybe $80K fully loaded,", + "output_characters": 1135, + "output_sha256": "ef2eed95dbf69128020a35c67a9fa09838ec626f2201b9a89fb626d11ec4c239", + "prompt_tokens": 122, + "reasoning_characters": 67, + "reasoning_sha256": "534bd8205f1c9b08ab4e9db6347d5c54d56a7224c969af4cb9f5ee2b9e7b8bed", + "response_tail_seconds": 0.01187, + "started_monotonic_seconds": 152241.13867, + "stream": 1, + "stream_done_marker": true, + "stream_sha256": "8bafb3a090434ed245a96e3fcc7e66c3855eb430e7a59ca6fc4befc6f4695841", + "time_to_first_visible_seconds": 14.349709, + "time_to_last_output_seconds": 34.54904, + "ttft_seconds": 3.540692, + "wall_seconds": 34.56091 + }, + { + "completion_tokens": 256, + "decode_seconds": 31.718064, + "decode_tokens_per_second": 8.04, + "event_seconds": [ + 4.257267, + 7.32985, + 10.416924, + 10.416943, + 13.873077, + 13.873155, + 13.873162, + 14.023614, + 14.023635, + 14.023643, + 14.023649, + 14.023655, + 14.185541, + 14.18559, + 14.185599, + 14.185606, + 14.350218, + 14.481064, + 14.637105, + 14.637157, + 14.813308, + 14.813357, + 14.993845, + 14.993875, + 14.993884, + 14.993891, + 14.993898, + 14.993904, + 14.993909, + 15.144201, + 15.322481, + 15.3225, + 15.322507, + 15.504037, + 15.504057, + 15.68132, + 15.826541, + 16.004979, + 16.004999, + 16.189479, + 16.378336, + 16.378352, + 16.574792, + 16.574864, + 16.574871, + 16.764503, + 16.764523, + 16.961646, + 16.961667, + 16.961678, + 16.961684, + 17.155746, + 17.155787, + 17.347346, + 17.537047, + 17.718791, + 17.718846, + 17.718854, + 17.71886, + 17.896244, + 18.079789, + 18.079829, + 18.079835, + 18.267433, + 18.267498, + 18.449867, + 18.449887, + 18.449894, + 18.4499, + 18.449906, + 18.449911, + 18.63783, + 18.637888, + 18.811751, + 18.996358, + 18.996378, + 18.996385, + 19.182367, + 19.375875, + 19.375912, + 19.375919, + 19.562734, + 19.749379, + 19.749405, + 19.749412, + 19.93455, + 19.934592, + 19.934598, + 20.120646, + 20.286139, + 20.286159, + 20.47482, + 20.474839, + 20.474849, + 20.657286, + 20.657311, + 20.84032, + 20.840334, + 20.840342, + 21.031812, + 21.221317, + 21.221342, + 21.22135, + 21.221356, + 21.415565, + 21.601268, + 21.601296, + 21.792066, + 21.792106, + 21.980546, + 21.980565, + 22.173008, + 22.365216, + 22.365238, + 22.365246, + 22.365252, + 22.544213, + 22.726827, + 22.915661, + 22.915681, + 23.08118, + 23.0812, + 23.081207, + 23.081213, + 23.263626, + 23.263635, + 23.448844, + 23.448864, + 23.637347, + 23.827186, + 24.019487, + 24.21732, + 24.406427, + 24.406448, + 24.406455, + 24.598107, + 24.598147, + 24.598154, + 24.788488, + 24.788506, + 24.966316, + 25.15352, + 25.328476, + 25.328505, + 25.328512, + 25.510264, + 25.661693, + 25.661741, + 25.661748, + 25.841118, + 25.841138, + 25.841145, + 25.841151, + 26.019448, + 26.204133, + 26.204198, + 26.204208, + 26.204215, + 26.204221, + 26.339622, + 26.527233, + 26.527281, + 26.715756, + 26.904934, + 27.099042, + 27.287209, + 27.287242, + 27.28725, + 27.472609, + 27.472641, + 27.658558, + 27.658606, + 27.658612, + 27.837631, + 28.021772, + 28.021803, + 28.202131, + 28.397981, + 28.398027, + 28.398035, + 28.398041, + 28.58463, + 28.778242, + 28.778276, + 28.778285, + 28.778293, + 28.971445, + 29.163337, + 29.357009, + 29.357028, + 29.543839, + 29.721256, + 29.911267, + 29.911303, + 29.911312, + 30.099345, + 30.281151, + 30.44981, + 30.633601, + 30.633624, + 30.824648, + 31.013467, + 31.01352, + 31.205968, + 31.206016, + 31.394358, + 31.394392, + 31.587315, + 31.587352, + 31.587377, + 31.587383, + 31.779065, + 31.779092, + 31.779101, + 31.779108, + 31.958274, + 32.142534, + 32.326943, + 32.495534, + 32.680251, + 32.874817, + 33.070965, + 33.2401, + 33.426009, + 33.426028, + 33.619812, + 33.619832, + 33.61984, + 33.619846, + 33.809241, + 33.80929, + 33.984162, + 34.171882, + 34.171902, + 34.364906, + 34.550486, + 34.721278, + 34.887289, + 34.887308, + 35.051038, + 35.051074, + 35.051081, + 35.051087, + 35.217714, + 35.217733, + 35.345218, + 35.474107, + 35.597349, + 35.59737, + 35.723821, + 35.723844, + 35.846567, + 35.846637, + 35.975303, + 35.975331 + ], + "finish_reason": "length", + "finished_monotonic_seconds": 152277.122206, + "first_output_monotonic_seconds": 152245.396156, + "measured_sse_events": 255, + "output": "**MEMO**\n\n**To:** Platform Engineering Team\n**From:** Infrastructure Planning\n**Re:** GPU capacity \u2014 buy more, or use what we have better?\n**Date:** Thursday\n\n**Summary and recommendation**\n\nWe should spend the next quarter improving utilisation of the hardware we already own before committing to any new purchases. The case is not that our fleet is adequate \u2014 it isn't, at peak \u2014 but that we do not yet know enough about our real demand shape to buy intelligently, and the cheapest way to find out is to fix the scheduling and batching gaps we already understand. If utilisation work lands and peak pressure remains, we will be in a far stronger position to size a purchase correctly, and we will have lost little by waiting.\n\n**Where we stand**\n\nOur four A100 nodes run at roughly 38% average utilisation, but that average hides the actual problem. Overnight batch inference leaves the fleet nearly idle, while the 10:00\u201316:00 window sees queue times that our internal users describe, with some justification, as unacceptable. 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I want to argue that the obvious answer is the wrong one, at least for now, and that our first move should be a focused effort to improve utilisation of what we already own \u2014 with a defined trigger for revisiting hardware purchases if that effort falls short.\n\nLet me start with the economics, because they're less favourable than they first appear. A new accelerator node is not just the sticker price. Once you factor in networking, rack power, cooling, and the engineering time to integrate and operate it, the true cost is meaningfully higher than the quote we received. More importantly, the purchase is largely irreversible in practice. Hardware depreciates quickly, our procurement cycle is slow, and if our workload profile shifts \u2014 as it has twice in the last year \u2014 we'd be stuck with capacity shaped for a problem we no", + "output_characters": 1184, + "output_sha256": "9c22e9f9ccd0719b2b8fbd6bfaf87cd758900a79dfbb68b58f0396c4499e3e96", + "prompt_tokens": 124, + "reasoning_characters": 62, + "reasoning_sha256": "7eddaec104351da3aba6059600be80b14d17920bd2df8ba3f1ac3d20ffb662d1", + "response_tail_seconds": 0.010307, + "started_monotonic_seconds": 152241.138364, + "stream": 3, + "stream_done_marker": true, + "stream_sha256": "2012c94edcad8f2ba0e80dd22653b3df16d5a2abe28c812deb30c4179b3e793c", + "time_to_first_visible_seconds": 14.348903, + "time_to_last_output_seconds": 35.217133, + "ttft_seconds": 2.832892, + "wall_seconds": 35.22744 + } + ], + "newcomers_started_during_prefill": 3, + "overlap_valid": true, + "round": 2, + "short_solo_ttft_seconds": 0.737397, + "solo": { + "completion_tokens": 256, + "decode_seconds": 6.661592, + "decode_tokens_per_second": 38.279, + "event_seconds": [ + 0.737397, + 0.817635, + 0.869736, + 0.926079, + 0.926105, + 0.977971, + 0.978031, + 0.978039, + 1.036987, + 1.03704, + 1.037048, + 1.037054, + 1.091092, + 1.091114, + 1.091121, + 1.142934, + 1.142976, + 1.191325, + 1.244275, + 1.244307, + 1.303043, + 1.357187, + 1.357221, + 1.408706, + 1.408754, + 1.461639, + 1.461679, + 1.51381, + 1.513844, + 1.513858, + 1.569285, + 1.569316, + 1.569332, + 1.569346, + 1.621233, + 1.621272, + 1.621293, + 1.674481, + 1.744608, + 1.744638, + 1.744656, + 1.744673, + 1.744684, + 1.798363, + 1.798407, + 1.798422, + 1.851195, + 1.851223, + 1.85124, + 1.901751, + 1.901781, + 1.953849, + 2.007184, + 2.007216, + 2.00723, + 2.058913, + 2.058953, + 2.058969, + 2.117958, + 2.118026, + 2.1682, + 2.168243, + 2.218658, + 2.270769, + 2.2708, + 2.320608, + 2.320638, + 2.375549, + 2.424821, + 2.424851, + 2.475668, + 2.475715, + 2.528046, + 2.528077, + 2.581708, + 2.634789, + 2.698245, + 2.698282, + 2.698298, + 2.698311, + 2.752455, + 2.807232, + 2.857543, + 2.857572, + 2.909927, + 2.909966, + 2.90998, + 2.961829, + 2.961861, + 3.014695, + 3.014735, + 3.014749, + 3.065204, + 3.065243, + 3.118051, + 3.118099, + 3.178813, + 3.178865, + 3.230141, + 3.289343, + 3.289374, + 3.289393, + 3.289407, + 3.342759, + 3.342789, + 3.342804, + 3.393697, + 3.393738, + 3.393753, + 3.445776, + 3.445818, + 3.445833, + 3.503593, + 3.503624, + 3.50364, + 3.503653, + 3.556858, + 3.556888, + 3.556903, + 3.608885, + 3.608927, + 3.608941, + 3.661143, + 3.661185, + 3.661201, + 3.713289, + 3.765928, + 3.823443, + 3.90233, + 3.902383, + 3.902398, + 3.902411, + 3.956722, + 3.956758, + 4.008961, + 4.00915, + 4.060717, + 4.109123, + 4.109152, + 4.162215, + 4.162247, + 4.21688, + 4.216922, + 4.274581, + 4.274613, + 4.274628, + 4.27464, + 4.325367, + 4.376589, + 4.37662, + 4.376634, + 4.430444, + 4.430481, + 4.430496, + 4.482672, + 4.534576, + 4.585761, + 4.637166, + 4.689102, + 4.689141, + 4.743396, + 4.743427, + 4.797042, + 4.851513, + 4.851554, + 4.851569, + 4.90451, + 4.956541, + 4.956585, + 4.9566, + 5.007641, + 5.007674, + 5.058465, + 5.112874, + 5.166127, + 5.166163, + 5.218729, + 5.218771, + 5.271468, + 5.327982, + 5.32804, + 5.328055, + 5.381394, + 5.435134, + 5.486808, + 5.486838, + 5.539461, + 5.59047, + 5.642834, + 5.695145, + 5.748978, + 5.749041, + 5.749055, + 5.808858, + 5.862681, + 5.921336, + 5.921375, + 5.921391, + 5.921403, + 5.980133, + 5.980174, + 5.980195, + 5.980208, + 6.0324, + 6.032444, + 6.08489, + 6.142474, + 6.142506, + 6.142522, + 6.142535, + 6.197772, + 6.251111, + 6.251141, + 6.251156, + 6.303166, + 6.303207, + 6.354877, + 6.354939, + 6.414284, + 6.414314, + 6.414347, + 6.465388, + 6.517621, + 6.569183, + 6.569229, + 6.569244, + 6.621688, + 6.621719, + 6.673528, + 6.673558, + 6.727557, + 6.78901, + 6.789049, + 6.789066, + 6.789079, + 6.840116, + 6.840147, + 6.892622, + 6.945964, + 6.99628, + 6.996311, + 6.996326, + 7.049274, + 7.049314, + 7.049328, + 7.1016, + 7.153626, + 7.153657, + 7.206845, + 7.260656, + 7.26069, + 7.346061, + 7.346092, + 7.346107, + 7.39899 + ], + "finish_reason": "length", + "finished_monotonic_seconds": 152240.134757, + "first_output_monotonic_seconds": 152233.470406, + "measured_sse_events": 255, + "output": "**MEMO: Compute Capacity \u2014 Buy More Hardware or Use What We Have Better?**\n\n**To:** Engineering Team\n**From:** Infrastructure Lead\n**Re:** Local AI hardware expansion vs. utilisation improvement\n**Status:** For discussion before Friday's planning session\n\nWe've been running into capacity ceilings on our local inference cluster more often lately, and the natural instinct is to reach for a purchase order. Before we do that, I want to lay out the case as I see it, because I think the right answer is more nuanced than \"we're maxed out, buy more\" \u2014 though it may still end there.\n\nLet's start with what the data actually says. Our GPU fleet shows average utilisation around 55 percent over the past quarter, but that average hides the real problem: peak demand windows hit 90-plus percent while overnight and weekend usage drops below 20. In other words, we don't have a capacity shortage so much as a scheduling shortage. The queueing theory is unforgiving \u2014 as utilisation approaches saturation, wait times explode non-linearly, which is exactly what people are experiencing when they complain that jobs \"hang\" for twenty minutes. But if", + "output_characters": 1140, + "output_sha256": "d0011e8c670c6d8c0de0dce2230f0fc3501cfc5b25baaf47dae36b40a8b949bc", + "prompt_tokens": 125, + "reasoning_characters": 62, + "reasoning_sha256": "7eddaec104351da3aba6059600be80b14d17920bd2df8ba3f1ac3d20ffb662d1", + "response_tail_seconds": 0.002758, + "started_monotonic_seconds": 152232.733009, + "stream_done_marker": true, + "stream_sha256": "3cd25eeb1480a46dd309f393c2b3f0fbf26c250c16010373d3e48add2093c600", + "time_to_first_visible_seconds": 1.142934, + "time_to_last_output_seconds": 7.39899, + "ttft_seconds": 0.737397, + "wall_seconds": 7.401748 + } + } + ], + "total_rounds": 2, + "valid_rounds": 2 + } + } + } +} diff --git a/results/2026-10-09-rc2/raw/rig-conc.log b/results/2026-10-09-rc2/raw/rig-conc.log new file mode 100644 index 0000000..2a0da04 --- /dev/null +++ b/results/2026-10-09-rc2/raw/rig-conc.log @@ -0,0 +1,59 @@ +decode/code: 1 runs + 1: 65.2 tok/s, TTFT 0.732s, 1928 tokens +decode/prose: 1 runs + 1: 36.6 tok/s, TTFT 0.718s, 1050 tokens +decode/structured: 1 runs + 1: 88.7 tok/s, TTFT 0.709s, 441 tokens +concurrency/1: 2 rounds of code + 1: aggregate 47.3 tok/s, median stream 54.3 tok/s + 2: aggregate 48.1 tok/s, median stream 55.4 tok/s +concurrency/2: 2 rounds of code + 1: aggregate 54.9 tok/s, median stream 33.3 tok/s + 2: aggregate 55.4 tok/s, median stream 32.2 tok/s +concurrency/3: 2 rounds of code + 1: aggregate 66.0 tok/s, median stream 26.9 tok/s + 2: aggregate 64.7 tok/s, median stream 24.8 tok/s +concurrency/4: 2 rounds of code + 1: aggregate 68.0 tok/s, median stream 20.2 tok/s + 2: aggregate 71.0 tok/s, median stream 21.9 tok/s +staggered/2: 2 rounds, 1 incumbents + 1 arrival, 32,768-token long request + 1: decode-first newcomer TTFT 12.611s (1.02x solo), incumbent stall 3.123s (whole-stream p95 gap 0.074s) + 1: prefill-first short TTFT median 2.799s (3.91x solo), long TTFT 13.293s (1.07x solo) + 2: decode-first newcomer TTFT 12.634s (1.02x solo), incumbent stall 3.102s (whole-stream p95 gap 0.066s) + 2: prefill-first short TTFT median 2.805s (3.87x solo), long TTFT 13.281s (1.07x solo) +staggered/4: 2 rounds, 3 incumbents + 1 arrival, 32,768-token long request + 1: decode-first newcomer TTFT 12.729s (1.02x solo), incumbent stall 3.141s (whole-stream p95 gap 0.127s) + 1: prefill-first short TTFT median 3.543s (4.97x solo), long TTFT 14.807s (1.19x solo) + 2: decode-first newcomer TTFT 12.755s (1.03x solo), incumbent stall 3.190s (whole-stream p95 gap 0.149s) + 2: prefill-first short TTFT median 3.541s (4.80x solo), long TTFT 14.719s (1.19x solo) +result: /home/user/final-bench/rc2-4046c/rig-conc.json +card: /home/user/final-bench/rc2-4046c/rig-conc.card.txt + +╭──────────────────────────────────────────────────────────────────────────────────────────╮ +│ R I G M A R K // AGENT WORKLOAD RECEIPT │ +│ BENCHMARKS LOCAL AI HOW CODING AGENTS ACTUALLY USE IT │ +│ ● 3/3 BASIC OUTPUT GATES PASSED │ +├─ SYSTEM ─────────────────────────────────────────────────────────────────────────────────┤ +│ MODEL glm-5.3-flash-atlas │ +│ APPLIANCE 2 x NVIDIA DGX Spark, GB10, 128 GB unified memory per appliance │ +│ RUN reasoning=low • protocol=1.1.0 │ +│ SOURCE git:40fabcaf6e96 • dirty • worktree:7c17a097cc0d │ +├─ REAL OUTPUT ────────────────────────────────────────────────────────────────────────────┤ +│ WORKLOAD DECODE EST. LAST OUTPUT RANGE BASIC GATE │ +│ CODE 65.2 tok/s 30.3s last 65.2–65.2 ✓ 1/1 │ +│ PROSE 36.6 tok/s 29.4s last 36.6–36.6 ✓ 1/1 │ +│ STRUCTURED* 88.7 tok/s 5.7s last 88.7–88.7 ✓ 1/1 │ +│ * predictable-output ceiling; not a proxy for agent speed │ +├─ CAPPED CONCURRENT GENERATION ───────────────────────────────────────────────────────────┤ +│ SHORT CODE • END-TO-END • 256-TOKEN CAP PER AGENT │ +│ AGGREGATE C1 47.7 • C2 55.2 • C3 65.3 • C4 69.5 tok/s │ +│ C4 OUTPUT STATE normal stop 0/8 • visible 8/8 • reasoning may be included │ +├─ STAGGERED ARRIVALS ─────────────────────────────────────────────────────────────────────┤ +│ S4 • 3 RUNNING + 1 ARRIVING • 32,768-TOKEN LONG REQUEST • 1024/256-TOKEN CAPS │ +│ DECODE-FIRST long TTFT 12.74s (1.03x solo) • incumbent stall 3.17s • 2/2 valid │ +│ PREFILL-FIRST short TTFT 3.54s (4.88x solo) • long TTFT 1.19x solo • 2/2 valid │ +├─ RECEIPT ────────────────────────────────────────────────────────────────────────────────┤ +│ JSON sha256:2cdd09ebf602eb06… │ +│ SHARE THE CARD • LINK THE JSON RECEIPT • #RIGMARK │ +│ github.com/alexellis/rigmark │ +╰──────────────────────────────────────────────────────────────────────────────────────────╯ diff --git a/results/2026-10-09-rc2/raw/rig-decode.card.txt b/results/2026-10-09-rc2/raw/rig-decode.card.txt new file mode 100644 index 0000000..e69de29 diff --git a/results/2026-10-09-rc2/raw/rig-decode.json b/results/2026-10-09-rc2/raw/rig-decode.json new file mode 100644 index 0000000..a987cd1 --- /dev/null +++ b/results/2026-10-09-rc2/raw/rig-decode.json @@ -0,0 +1,765 @@ +{ + "decode": { + "code": { + "completion_gate": { + "passed": 3, + "total": 3 + }, + "decode_tokens_per_second": { + "maximum": 67.667, + "median": 65.495, + "minimum": 65.23, + "p90": 67.667 + }, + "runs": [ + { + "completion_tokens": 1928, + "completion_validation": { + "valid": true + }, + "decode_seconds": 29.421982, + "decode_tokens_per_second": 65.495, + "finish_reason": "stop", + "measured_sse_events": 1926, + "output": "```go\n// ratelimit.go\npackage ratelimit\n\nimport (\n\t\"errors\"\n\t\"sync\"\n\t\"time\"\n)\n\n// Clock abstracts time for testability.\ntype Clock interface {\n\tNow() time.Time\n}\n\ntype realClock struct{}\n\nfunc (realClock) Now() time.Time { return time.Now() }\n\n// Limiter is a concurrency-safe token-bucket rate limiter.\n// A Limiter must be created with New; the zero value is not usable.\ntype Limiter struct {\n\tmu sync.Mutex\n\trate float64 // tokens per second\n\tburst float64 // bucket capacity\n\ttokens float64 // available tokens\n\tlast time.Time // last refill time\n\tclock Clock\n}\n\n// New creates a Limiter that emits rate tokens per second, up to burst.\nfunc New(rate float64, burst int, clock Clock) (*Limiter, error) {\n\tif rate <= 0 {\n\t\treturn nil, errors.New(\"ratelimit: rate must be > 0\")\n\t}\n\tif burst <= 0 {\n\t\treturn nil, errors.New(\"ratelimit: burst must be > 0\")\n\t}\n\tif clock == nil {\n\t\tclock = realClock{}\n\t}\n\treturn &Limiter{\n\t\trate: rate,\n\t\tburst: float64(burst),\n\t\ttokens: float64(burst),\n\t\tclock: clock,\n\t}, nil\n}\n\n// advance refills tokens based on elapsed time. Caller must hold l.mu.\nfunc (l *Limiter) advance(now time.Time) {\n\tif now.Before(l.last) {\n\t\treturn // clock went backwards; ignore\n\t}\n\telapsed := now.Sub(l.last).Seconds()\n\tl.tokens += elapsed * l.rate\n\tif l.tokens > l.burst {\n\t\tl.tokens = l.burst\n\t}\n\tl.last = now\n}\n\n// AllowN reports whether n tokens may be consumed at time now.\nfunc (l *Limiter) AllowN(now time.Time, n int) bool {\n\tif n < 0 {\n\t\treturn false\n\t}\n\tl.mu.Lock()\n\tdefer l.mu.Unlock()\n\tl.advance(now)\n\tif float64(n) <= l.tokens {\n\t\tl.tokens -= float64(n)\n\t\treturn true\n\t}\n\treturn false\n}\n\n// Allow reports whether a single token may be consumed now.\nfunc (l *Limiter) Allow() bool {\n\treturn l.AllowN(l.clock.Now(), 1)\n}\n\n// RetryAfter returns the duration until n tokens would be available,\n// or 0 if they are available now. It does not consume tokens.\nfunc (l *Limiter) RetryAfter(now time.Time, n int) time.Duration {\n\tl.mu.Lock()\n\tdefer l.mu.Unlock()\n\tl.advance(now)\n\tneed := float64(n) - l.tokens\n\tif need <= 0 {\n\t\treturn 0\n\t}\n\treturn time.Duration(need / l.rate * float64(time.Second))\n}\n```\n\n```go\n// ratelimit_test.go\npackage ratelimit\n\nimport (\n\t\"sync\"\n\t\"testing\"\n\t\"time\"\n)\n\ntype fakeClock struct {\n\tmu sync.Mutex\n\tnow time.Time\n}\n\nfunc newFakeClock(t time.Time) *fakeClock { return &fakeClock{now: t} }\n\nfunc (c *fakeClock) Now() time.Time {\n\tc.mu.Lock()\n\tdefer c.mu.Unlock()\n\treturn c.now\n}\n\nfunc (c *fakeClock) Advance(d time.Duration) {\n\tc.mu.Lock()\n\tdefer c.mu.Unlock()\n\tc.now = c.now.Add(d)\n}\n\nfunc TestNewValidation(t *testing.T) {\n\tcases := []struct {\n\t\tname string\n\t\trate float64\n\t\tburst int\n\t\twantErr bool\n\t}{\n\t\t{\"ok\", 1, 1, false},\n\t\t{\"zero rate\", 0, 1, true},\n\t\t{\"negative rate\", -1, 1, true},\n\t\t{\"zero burst\", 1, 0, true},\n\t\t{\"negative burst\", 1, -1, true},\n\t}\n\tfor _, tc := range cases {\n\t\tt.Run(tc.name, func(t *testing.T) {\n\t\t\t_, err := New(tc.rate, tc.burst, newFakeClock(time.Unix(0, 0)))\n\t\t\tif (err != nil) != tc.wantErr {\n\t\t\t\tt.Fatalf(\"New(%v, %v) err = %v, wantErr %v\", tc.rate, tc.burst, err, tc.wantErr)\n\t\t\t}\n\t\t})\n\t}\n}\n\nfunc TestAllowN(t *testing.T) {\n\tstart := time.Unix(0, 0)\n\tcases := []struct {\n\t\tname string\n\t\trate float64\n\t\tburst int\n\t\tsteps []struct {\n\t\t\tadvance time.Duration\n\t\t\tn int\n\t\t\twant bool\n\t\t}\n\t}{\n\t\t{\n\t\t\tname: \"burst consumed then denied\",\n\t\t\trate: 1, burst: 3,\n\t\t\tsteps: []struct {\n\t\t\t\tadvance time.Duration\n\t\t\t\tn int\n\t\t\t\twant bool\n\t\t\t}{\n\t\t\t\t{0, 3, true},\n\t\t\t\t{0, 1, false},\n\t\t\t},\n\t\t},\n\t\t{\n\t\t\tname: \"refill over time\",\n\t\t\trate: 1, burst: 2,\n\t\t\tsteps: []struct {\n\t\t\t\tadvance time.Duration\n\t\t\t\tn int\n\t\t\t\twant bool\n\t\t\t}{\n\t\t\t\t{0, 2, true},\n\t\t\t\t{0, 1, false},\n\t\t\t\t{time.Second, 1, true},\n\t\t\t\t{500 * time.Millisecond, 1, false},\n\t\t\t\t{500 * time.Millisecond, 1, true},\n\t\t\t},\n\t\t},\n\t\t{\n\t\t\tname: \"tokens capped at burst\",\n\t\t\trate: 10, burst: 2,\n\t\t\tsteps: []struct {\n\t\t\t\tadvance time.Duration\n\t\t\t\tn int\n\t\t\t\twant bool\n\t\t\t}{\n\t\t\t\t{0, 2, true},\n\t\t\t\t{10 * time.Second, 3, false}, // only 2 available despite long wait\n\t\t\t\t{0, 2, true},\n\t\t\t},\n\t\t},\n\t\t{\n\t\t\tname: \"zero request always allowed\",\n\t\t\trate: 1, burst: 1,\n\t\t\tsteps: []struct {\n\t\t\t\tadvance time.Duration\n\t\t\t\tn int\n\t\t\t\twant bool\n\t\t\t}{\n\t\t\t\t{0, 1, true},\n\t\t\t\t{0, 0, true},\n\t\t\t\t{0, 1, false},\n\t\t\t},\n\t\t},\n\t\t{\n\t\t\tname: \"negative request denied\",\n\t\t\trate: 1, burst: 1,\n\t\t\tsteps: []struct {\n\t\t\t\tadvance time.Duration\n\t\t\t\tn int\n\t\t\t\twant bool\n\t\t\t}{\n\t\t\t\t{0, -1, false},\n\t\t\t\t{0, 1, true},\n\t\t\t},\n\t\t},\n\t}\n\tfor _, tc := range cases {\n\t\tt.Run(tc.name, func(t *testing.T) {\n\t\t\tclock := newFakeClock(start)\n\t\t\tl, err := New(tc.rate, tc.burst, clock)\n\t\t\tif err != nil {\n\t\t\t\tt.Fatalf(\"New: %v\", err)\n\t\t\t}\n\t\t\tfor i, s := range tc.steps {\n\t\t\t\tclock.Advance(s.advance)\n\t\t\t\tif got := l.AllowN(clock.Now(), s.n); got != s.want {\n\t\t\t\t\tt.Errorf(\"step %d: AllowN(%d) = %v, want %v\", i, s.n, got, s.want)\n\t\t\t\t}\n\t\t\t}\n\t\t})\n\t}\n}\n\nfunc TestRetryAfter(t *testing.T) {\n\tclock := newFakeClock(time.Unix(0, 0))\n\tl, _ := New(2, 1, clock) // 2 tokens/sec, burst 1\n\tl.AllowN(clock.Now(), 1) // empty\n\tif d := l.RetryAfter(clock.Now(), 1); d != 500*time.Millisecond {\n\t\tt.Errorf(\"RetryAfter = %v, want 500ms\", d)\n\t}\n\tclock.Advance(500 * time.Millisecond)\n\tif d := l.RetryAfter(clock.Now(), 1); d != 0 {\n\t\tt.Errorf(\"RetryAfter after wait = %v, want 0\", d)\n\t}\n}\n\nfunc TestConcurrentAccess(t *testing.T) {\n\tclock := newFakeClock(time.Unix(0, 0))\n\tl, _ := New(1000, 100, clock)\n\tvar wg sync.WaitGroup\n\tallowed := int64(0)\n\tvar mu sync.Mutex\n\tfor i := 0; i < 50; i++ {\n\t\twg.Add(1)\n\t\tgo func() {\n\t\t\tdefer wg.Done()\n\t\t\tfor j := 0; j < 10; j++ {\n\t\t\t\tif l.AllowN(clock.Now(), 1) {\n\t\t\t\t\tmu.Lock()\n\t\t\t\t\tallowed++\n\t\t\t\t\tmu.Unlock()\n\t\t\t\t}\n\t\t\t}\n\t\t}()\n\t}\n\twg.Wait()\n\tif allowed != 100 {\n\t\tt.Errorf(\"allowed = %d, want 100\", allowed)\n\t}\n}\n```", + "output_characters": 5807, + "output_sha256": "8cd0eca74798bc854b615e4db9ce8d7d808764147e3460937928c6f96b00e6ca", + "prompt_tokens": 130, + "reasoning_characters": 31, + "reasoning_sha256": "0b43e4ed336e57da5a7c92d31a4254d0a9a41023d9c266c81567fdeb7ede531d", + "response_tail_seconds": 0.056102, + "run": 1, + "stream_done_marker": true, + "stream_sha256": "9f3d5d23c4a2ae064d989f3aa3c87190093cdfe80bd21b6e384b22d463ee4b12", + "time_to_first_visible_seconds": 1.092943, + "time_to_last_output_seconds": 30.210507, + "ttft_seconds": 0.788525, + "wall_seconds": 30.266609 + }, + { + "completion_tokens": 2198, + "completion_validation": { + "valid": true + }, + "decode_seconds": 32.467659, + "decode_tokens_per_second": 67.667, + "finish_reason": "stop", + "measured_sse_events": 2196, + "output": "**ratelimit.go**\n```go\n// Package ratelimit implements a concurrency-safe token-bucket rate limiter.\npackage ratelimit\n\nimport (\n\t\"errors\"\n\t\"sync\"\n\t\"time\"\n)\n\n// Clock reports the current time. It is an injectable abstraction over time.Now.\ntype Clock interface {\n\tNow() time.Time\n}\n\ntype realClock struct{}\n\nfunc (realClock) Now() time.Time { return time.Now() }\n\n// RealClock returns a Clock backed by time.Now.\nfunc RealClock() Clock { return realClock{} }\n\n// Limiter is a concurrency-safe token-bucket rate limiter.\n// Tokens refill continuously at rate Rate; the bucket holds at most Burst tokens.\n// A Limiter must be created by New; the zero value is not usable.\ntype Limiter struct {\n\tmu sync.Mutex\n\trate float64 // tokens per second\n\tburst int\n\ttokens float64\n\tlastFill time.Time\n\tclock Clock\n}\n\n// Errors returned by New.\nvar (\n\tErrNonPositiveRate = errors.New(\"ratelimit: rate must be > 0\")\n\tErrNonPositiveBurst = errors.New(\"ratelimit: burst must be > 0\")\n\tErrNilClock = errors.New(\"ratelimit: clock must not be nil\")\n)\n\n// New creates a Limiter that refills rate tokens per second with a maximum\n// capacity of burst tokens. The bucket starts full.\nfunc New(rate float64, burst int, clock Clock) (*Limiter, error) {\n\tif rate <= 0 {\n\t\treturn nil, ErrNonPositiveRate\n\t}\n\tif burst <= 0 {\n\t\treturn nil, ErrNonPositiveBurst\n\t}\n\tif clock == nil {\n\t\treturn nil, ErrNilClock\n\t}\n\treturn &Limiter{\n\t\trate: rate,\n\t\tburst: burst,\n\t\ttokens: float64(burst),\n\t\tlastFill: clock.Now(),\n\t\tclock: clock,\n\t}, nil\n}\n\n// Allow reports whether a single token is available.\nfunc (l *Limiter) Allow() bool { return l.AllowN(1) }\n\n// AllowN reports whether n tokens are available at the current instant,\n// consuming them if so.\nfunc (l *Limiter) AllowN(n int) bool {\n\tif n < 0 {\n\t\treturn false\n\t}\n\tl.mu.Lock()\n\tdefer l.mu.Unlock()\n\n\tnow := l.clock.Now()\n\tif elapsed := now.Sub(l.lastFill); elapsed > 0 {\n\t\tl.tokens += elapsed.Seconds() * l.rate\n\t\tif l.tokens > float64(l.burst) {\n\t\t\tl.tokens = float64(l.burst)\n\t\t}\n\t\tl.lastFill = now\n\t}\n\tif float64(n) > l.tokens {\n\t\treturn false\n\t}\n\tl.tokens -= float64(n)\n\treturn true\n}\n\n// Tokens returns the number of tokens currently available (for observability).\nfunc (l *Limiter) Tokens() float64 {\n\tl.mu.Lock()\n\tdefer l.mu.Unlock()\n\telapsed := l.clock.Now().Sub(l.lastFill)\n\tt := l.tokens + elapsed.Seconds()*l.rate\n\tif t > float64(l.burst) {\n\t\tt = float64(l.burst)\n\t}\n\treturn t\n}\n```\n\n**ratelimit_test.go**\n```go\npackage ratelimit\n\nimport (\n\t\"errors\"\n\t\"sync\"\n\t\"testing\"\n\t\"time\"\n)\n\n// fakeClock is a manually advanced Clock for deterministic tests.\ntype fakeClock struct {\n\tmu sync.Mutex\n\tnow time.Time\n}\n\nfunc newFakeClock(t time.Time) *fakeClock { return &fakeClock{now: t} }\n\nfunc (c *fakeClock) Now() time.Time {\n\tc.mu.Lock()\n\tdefer c.mu.Unlock()\n\treturn c.now\n}\n\nfunc (c *fakeClock) Advance(d time.Duration) {\n\tc.mu.Lock()\n\tdefer c.mu.Unlock()\n\tc.now = c.now.Add(d)\n}\n\nfunc TestNewValidation(t *testing.T) {\n\tclock := newFakeClock(time.Unix(0, 0))\n\ttests := []struct {\n\t\tname string\n\t\trate float64\n\t\tburst int\n\t\tclock Clock\n\t\twantErr error\n\t}{\n\t\t{\"zero rate\", 0, 1, clock, ErrNonPositiveRate},\n\t\t{\"negative rate\", -1, 1, clock, ErrNonPositiveRate},\n\t\t{\"zero burst\", 1, 0, clock, ErrNonPositiveBurst},\n\t\t{\"negative burst\", 1, -1, clock, ErrNonPositiveBurst},\n\t\t{\"nil clock\", 1, 1, nil, ErrNilClock},\n\t\t{\"valid\", 1, 1, clock, nil},\n\t}\n\tfor _, tc := range tests {\n\t\tt.Run(tc.name, func(t *testing.T) {\n\t\t\tl, err := New(tc.rate, tc.burst, tc.clock)\n\t\t\tif !errors.Is(err, tc.wantErr) {\n\t\t\t\tt.Fatalf(\"New() error = %v, want %v\", err, tc.wantErr)\n\t\t\t}\n\t\t\tif tc.wantErr == nil && l == nil {\n\t\t\t\tt.Fatal(\"New() returned nil Limiter with nil error\")\n\t\t\t}\n\t\t})\n\t}\n}\n\nfunc TestAllowN(t *testing.T) {\n\tbase := time.Unix(0, 0)\n\ttests := []struct {\n\t\tname string\n\t\trate float64\n\t\tburst int\n\t\tsteps []struct {\n\t\t\tadvance time.Duration\n\t\t\tn int\n\t\t\twant bool\n\t\t}\n\t}{\n\t\t{\n\t\t\tname: \"burst exhausted then refills\",\n\t\t\trate: 1, burst: 2,\n\t\t\tsteps: []struct {\n\t\t\t\tadvance time.Duration\n\t\t\t\tn int\n\t\t\t\twant bool\n\t\t\t}{\n\t\t\t\t{0, 2, true}, // consume full burst\n\t\t\t\t{0, 1, false}, // empty\n\t\t\t\t{time.Second, 1, true}, // one token refilled\n\t\t\t\t{0, 1, false}, // empty again\n\t\t\t\t{2 * time.Second, 2, true}, // refilled to burst cap\n\t\t\t},\n\t\t},\n\t\t{\n\t\t\tname: \"partial refill accumulates\",\n\t\t\trate: 2, burst: 3,\n\t\t\tsteps: []struct {\n\t\t\t\tadvance time.Duration\n\t\t\t\tn int\n\t\t\t\twant bool\n\t\t\t}{\n\t\t\t\t{0, 3, true},\n\t\t\t\t{0, 1, false},\n\t\t\t\t{250 * time.Millisecond, 1, false}, // 0.5 tokens\n\t\t\t\t{250 * time.Millisecond, 1, true}, // 1.0 tokens\n\t\t\t},\n\t\t},\n\t\t{\n\t\t\tname: \"negative request denied\",\n\t\t\trate: 1, burst: 1,\n\t\t\tsteps: []struct {\n\t\t\t\tadvance time.Duration\n\t\t\t\tn int\n\t\t\t\twant bool\n\t\t\t}{\n\t\t\t\t{0, -1, false},\n\t\t\t\t{0, 1, true},\n\t\t\t},\n\t\t},\n\t\t{\n\t\t\tname: \"large request never granted\",\n\t\t\trate: 1, burst: 5,\n\t\t\tsteps: []struct {\n\t\t\t\tadvance time.Duration\n\t\t\t\tn int\n\t\t\t\twant bool\n\t\t\t}{\n\t\t\t\t{time.Hour, 6, false},\n\t\t\t\t{0, 5, true},\n\t\t\t},\n\t\t},\n\t}\n\tfor _, tc := range tests {\n\t\tt.Run(tc.name, func(t *testing.T) {\n\t\t\tclock := newFakeClock(base)\n\t\t\tl, err := New(tc.rate, tc.burst, clock)\n\t\t\tif err != nil {\n\t\t\t\tt.Fatalf(\"New() error = %v\", err)\n\t\t\t}\n\t\t\tfor i, s := range tc.steps {\n\t\t\t\tclock.Advance(s.advance)\n\t\t\t\tif got := l.AllowN(s.n); got != s.want {\n\t\t\t\t\tt.Errorf(\"step %d: AllowN(%d) = %v, want %v\", i, s.n, got, s.want)\n\t\t\t\t}\n\t\t\t}\n\t\t})\n\t}\n}\n\nfunc TestAllow(t *testing.T) {\n\tclock := newFakeClock(time.Unix(0, 0))\n\tl, err := New(10, 1, clock)\n\tif err != nil {\n\t\tt.Fatalf(\"New() error = %v\", err)\n\t}\n\tif !l.Allow() {\n\t\tt.Fatal(\"Allow() = false, want true on full bucket\")\n\t}\n\tif l.Allow() {\n\t\tt.Fatal(\"Allow() = true, want false on empty bucket\")\n\t}\n\tclock.Advance(100 * time.Millisecond)\n\tif !l.Allow() {\n\t\tt.Fatal(\"Allow() = false, want true after refill\")\n\t}\n}\n\nfunc TestTokens(t *testing.T) {\n\tclock := newFakeClock(time.Unix(0, 0))\n\tl, err := New(1, 2, clock)\n\tif err != nil {\n\t\tt.Fatalf(\"New() error = %v\", err)\n\t}\n\tl.AllowN(2)\n\tif got := l.Tokens(); got != 0 {\n\t\tt.Errorf(\"Tokens() = %v, want 0\", got)\n\t}\n\tclock.Advance(500 * time.Millisecond)\n\tif got := l.Tokens(); got != 0.5 {\n\t\tt.Errorf(\"Tokens() = %v, want 0.5\", got)\n\t}\n\tclock.Advance(time.Hour)\n\tif got := l.Tokens(); got != 2 {\n\t\tt.Errorf(\"Tokens() = %v, want 2 (burst cap)\", got)\n\t}\n}\n\nfunc TestConcurrentAllow(t *testing.T) {\n\tclock := newFakeClock(time.Unix(0, 0))\n\tl, err := New(1000, 100, clock)\n\tif err != nil {\n\t\tt.Fatalf(\"New() error = %v\", err)\n\t}\n\tvar wg sync.WaitGroup\n\tvar allowed int64\n\tvar mu sync.Mutex\n\tfor i := 0; i < 1000; i++ {\n\t\twg.Add(1)\n\t\tgo func() {\n\t\t\tdefer wg.Done()\n\t\t\tif l.Allow() {\n\t\t\t\tmu.Lock()\n\t\t\t\tallowed++\n\t\t\t\tmu.Unlock()\n\t\t\t}\n\t\t}()\n\t}\n\twg.Wait()\n\tif allowed != 100 {\n\t\tt.Errorf(\"allowed = %d, want 100 (burst size)\", allowed)\n\t}\n}\n```", + "output_characters": 6828, + "output_sha256": "ef21e1332d500b2cd83b5a984f7745fee78c0ad3f8852a2ed0e5ec376e0f5b99", + "prompt_tokens": 131, + "reasoning_characters": 22, + "reasoning_sha256": "af6f043f26025000aeb3ba955cd4e01df3f98b893747d92a1b99562b764fc47e", + "response_tail_seconds": 0.052684, + "run": 2, + "stream_done_marker": true, + "stream_sha256": "88e94b3b992c8da494097bb15d66db7b092e36b4e0d41d306df83d769930d87e", + "time_to_first_visible_seconds": 0.921091, + "time_to_last_output_seconds": 33.202711, + "ttft_seconds": 0.735052, + "wall_seconds": 33.255395 + }, + { + "completion_tokens": 2064, + "completion_validation": { + "valid": true + }, + "decode_seconds": 31.626482, + "decode_tokens_per_second": 65.23, + "finish_reason": "stop", + "measured_sse_events": 2062, + "output": "**ratelimit.go**\n```go\n// Package ratelimit implements a concurrency-safe token-bucket rate limiter.\npackage ratelimit\n\nimport (\n\t\"errors\"\n\t\"fmt\"\n\t\"sync\"\n\t\"time\"\n)\n\n// Clock abstracts time for testability.\ntype Clock interface {\n\tNow() time.Time\n}\n\ntype realClock struct{}\n\nfunc (realClock) Now() time.Time { return time.Now() }\n\n// Limiter is a concurrency-safe token-bucket rate limiter.\n// A Limiter must be created by New; the zero value is not usable.\ntype Limiter struct {\n\tmu sync.Mutex\n\ttokens float64\n\tlast time.Time\n\trate float64 // tokens per second\n\tburst float64 // max tokens\n\tclock Clock\n\tnowFn func() time.Time // convenience accessor for tests\n}\n\n// New creates a Limiter that refills at rate tokens per second with a\n// maximum capacity of burst tokens. The bucket starts full.\nfunc New(rate float64, burst int) (*Limiter, error) {\n\treturn NewWithClock(rate, burst, realClock{})\n}\n\n// NewWithClock is New with an injectable Clock.\nfunc NewWithClock(rate float64, burst int, clock Clock) (*Limiter, error) {\n\tif clock == nil {\n\t\treturn nil, errors.New(\"ratelimit: nil clock\")\n\t}\n\tif rate <= 0 {\n\t\treturn nil, fmt.Errorf(\"ratelimit: rate must be > 0, got %v\", rate)\n\t}\n\tif burst <= 0 {\n\t\treturn nil, fmt.Errorf(\"ratelimit: burst must be > 0, got %v\", burst)\n\t}\n\tnow := clock.Now()\n\treturn &Limiter{\n\t\ttokens: float64(burst),\n\t\tlast: now,\n\t\trate: rate,\n\t\tburst: float64(burst),\n\t\tclock: clock,\n\t}, nil\n}\n\n// advance refills tokens based on elapsed time since last refill.\n// Caller must hold l.mu.\nfunc (l *Limiter) advance(now time.Time) {\n\telapsed := now.Sub(l.last)\n\tif elapsed <= 0 {\n\t\treturn\n\t}\n\tl.last = now\n\tl.tokens += elapsed.Seconds() * l.rate\n\tif l.tokens > l.burst {\n\t\tl.tokens = l.burst\n\t}\n}\n\n// Allow reports whether a single token is available.\nfunc (l *Limiter) Allow() bool { return l.AllowN(1) }\n\n// AllowN reports whether n tokens are available at time now, consuming\n// them if so. n must be positive; AllowN returns false for n <= 0.\nfunc (l *Limiter) AllowN(n int) bool {\n\tif n <= 0 {\n\t\treturn false\n\t}\n\tl.mu.Lock()\n\tdefer l.mu.Unlock()\n\tnow := l.clock.Now()\n\tl.advance(now)\n\tif l.tokens >= float64(n) {\n\t\tl.tokens -= float64(n)\n\t\treturn true\n\t}\n\treturn false\n}\n\n// Tokens returns the current number of available tokens (for observability).\nfunc (l *Limiter) Tokens() float64 {\n\tl.mu.Lock()\n\tdefer l.mu.Unlock()\n\tl.advance(l.clock.Now())\n\treturn l.tokens\n}\n```\n\n**ratelimit_test.go**\n```go\npackage ratelimit\n\nimport (\n\t\"sync\"\n\t\"testing\"\n\t\"time\"\n)\n\ntype fakeClock struct {\n\tmu sync.Mutex\n\tnow time.Time\n}\n\nfunc newFakeClock(t time.Time) *fakeClock { return &fakeClock{now: t} }\n\nfunc (c *fakeClock) Now() time.Time {\n\tc.mu.Lock()\n\tdefer c.mu.Unlock()\n\treturn c.now\n}\n\nfunc (c *fakeClock) Advance(d time.Duration) {\n\tc.mu.Lock()\n\tdefer c.mu.Unlock()\n\tc.now = c.now.Add(d)\n}\n\nfunc TestNewValidation(t *testing.T) {\n\ttests := []struct {\n\t\tname string\n\t\trate float64\n\t\tburst int\n\t\twantErr bool\n\t}{\n\t\t{\"ok\", 1, 1, false},\n\t\t{\"zero rate\", 0, 10, true},\n\t\t{\"negative rate\", -1, 10, true},\n\t\t{\"zero burst\", 1, 0, true},\n\t\t{\"negative burst\", 1, -5, true},\n\t}\n\tfor _, tc := range tests {\n\t\tt.Run(tc.name, func(t *testing.T) {\n\t\t\tl, err := New(tc.rate, tc.burst)\n\t\t\tif (err != nil) != tc.wantErr {\n\t\t\t\tt.Fatalf(\"New(%v, %v) error = %v, wantErr %v\", tc.rate, tc.burst, err, tc.wantErr)\n\t\t\t}\n\t\t\tif !tc.wantErr && l == nil {\n\t\t\t\tt.Fatal(\"expected non-nil limiter\")\n\t\t\t}\n\t\t})\n\t}\n}\n\nfunc TestNewWithClockNil(t *testing.T) {\n\tif _, err := NewWithClock(1, 1, nil); err == nil {\n\t\tt.Fatal(\"expected error for nil clock\")\n\t}\n}\n\nfunc TestAllowN(t *testing.T) {\n\tbase := time.Unix(1700000000, 0)\n\n\ttests := []struct {\n\t\tname string\n\t\trate float64\n\t\tburst int\n\t\t// sequence of steps: advance duration then try n tokens, want result\n\t\tsteps []struct {\n\t\t\tadvance time.Duration\n\t\t\tn int\n\t\t\twant bool\n\t\t}\n\t\twantTokens float64\n\t}{\n\t\t{\n\t\t\tname: \"burst exhausted immediately\",\n\t\t\trate: 1, burst: 3,\n\t\t\tsteps: []struct {\n\t\t\t\tadvance time.Duration\n\t\t\t\tn int\n\t\t\t\twant bool\n\t\t\t}{\n\t\t\t\t{0, 3, true},\n\t\t\t\t{0, 1, false},\n\t\t\t},\n\t\t\twantTokens: 0,\n\t\t},\n\t\t{\n\t\t\tname: \"refill over time\",\n\t\t\trate: 2, burst: 2, // 1 token per 500ms\n\t\t\tsteps: []struct {\n\t\t\t\tadvance time.Duration\n\t\t\t\tn int\n\t\t\t\twant bool\n\t\t\t}{\n\t\t\t\t{0, 2, true},\n\t\t\t\t{0, 1, false},\n\t\t\t\t{500 * time.Millisecond, 1, true},\n\t\t\t\t{0, 1, false},\n\t\t\t\t{250 * time.Millisecond, 1, false}, // only 0.5 token accrued\n\t\t\t\t{250 * time.Millisecond, 1, true},\n\t\t\t},\n\t\t\twantTokens: 0,\n\t\t},\n\t\t{\n\t\t\tname: \"tokens capped at burst\",\n\t\t\trate: 10, burst: 2,\n\t\t\tsteps: []struct {\n\t\t\t\tadvance time.Duration\n\t\t\t\tn int\n\t\t\t\twant bool\n\t\t\t}{\n\t\t\t\t{0, 1, true},\n\t\t\t\t{10 * time.Second, 2, true}, // refill capped at 2\n\t\t\t\t{0, 1, false},\n\t\t\t},\n\t\t\twantTokens: 0,\n\t\t},\n\t\t{\n\t\t\tname: \"fractional accumulation\",\n\t\t\trate: 1, burst: 1,\n\t\t\tsteps: []struct {\n\t\t\t\tadvance time.Duration\n\t\t\t\tn int\n\t\t\t\twant bool\n\t\t\t}{\n\t\t\t\t{0, 1, true},\n\t\t\t\t{0, 1, false},\n\t\t\t\t{999 * time.Millisecond, 1, false},\n\t\t\t\t{1 * time.Millisecond, 1, true},\n\t\t\t},\n\t\t\twantTokens: 0,\n\t\t},\n\t\t{\n\t\t\tname: \"non-positive n denied\",\n\t\t\trate: 1, burst: 1,\n\t\t\tsteps: []struct {\n\t\t\t\tadvance time.Duration\n\t\t\t\tn int\n\t\t\t\twant bool\n\t\t\t}{\n\t\t\t\t{0, 0, false},\n\t\t\t\t{0, -1, false},\n\t\t\t\t{0, 1, true}, // token not consumed by invalid calls\n\t\t\t},\n\t\t\twantTokens: 0,\n\t\t},\n\t}\n\n\tfor _, tc := range tests {\n\t\tt.Run(tc.name, func(t *testing.T) {\n\t\t\tclock := newFakeClock(base)\n\t\t\tl, err := NewWithClock(tc.rate, tc.burst, clock)\n\t\t\tif err != nil {\n\t\t\t\tt.Fatalf(\"NewWithClock: %v\", err)\n\t\t\t}\n\t\t\tfor i, s := range tc.steps {\n\t\t\t\tclock.Advance(s.advance)\n\t\t\t\tif got := l.AllowN(s.n); got != s.want {\n\t\t\t\t\tt.Fatalf(\"step %d: AllowN(%d) = %v, want %v\", i, s.n, got, s.want)\n\t\t\t\t}\n\t\t\t}\n\t\t\tif got := l.Tokens(); got != tc.wantTokens {\n\t\t\t\tt.Fatalf(\"final tokens = %v, want %v\", got, tc.wantTokens)\n\t\t\t}\n\t\t})\n\t}\n}\n\nfunc TestConcurrentAllow(t *testing.T) {\n\tclock := newFakeClock(time.Unix(1700000000, 0))\n\tl, err := NewWithClock(1000, 100, clock)\n\tif err != nil {\n\t\tt.Fatalf(\"NewWithClock: %v\", err)\n\t}\n\tvar (\n\t\twg sync.WaitGroup\n\t\tmu sync.Mutex\n\t\tallowed int\n\t)\n\tfor i := 0; i < 200; i++ {\n\t\twg.Add(1)\n\t\tgo func() {\n\t\t\tdefer wg.Done()\n\t\t\tif l.Allow() {\n\t\t\t\tmu.Lock()\n\t\t\t\tallowed++\n\t\t\t\tmu.Unlock()\n\t\t\t}\n\t\t}()\n\t}\n\twg.Wait()\n\tif allowed != 100 {\n\t\tt.Fatalf(\"allowed = %d, want 100\", allowed)\n\t}\n}\n```", + "output_characters": 6356, + "output_sha256": "70503bebc39e4354eb4cb6e1ff55aa1d920fef79836b1143a0344416949d8c04", + "prompt_tokens": 133, + "reasoning_characters": 22, + "reasoning_sha256": "af6f043f26025000aeb3ba955cd4e01df3f98b893747d92a1b99562b764fc47e", + "response_tail_seconds": 0.055042, + "run": 3, + "stream_done_marker": true, + "stream_sha256": "26b6a79e4f1c18cd9e85a5ac34a98478aa09ecf9e098a7fed48e45280135b787", + "time_to_first_visible_seconds": 0.931361, + "time_to_last_output_seconds": 32.369167, + "ttft_seconds": 0.742684, + "wall_seconds": 32.424209 + } + ], + "time_to_last_output_seconds": { + "maximum": 33.203, + "median": 32.369, + "minimum": 30.211, + "p90": 33.203 + }, + "ttft_seconds": { + "maximum": 0.789, + "median": 0.743, + "minimum": 0.735, + "p90": 0.789 + }, + "wall_seconds": { + "maximum": 33.255, + "median": 32.424, + "minimum": 30.267, + "p90": 33.255 + } + }, + "prose": { + "completion_gate": { + "passed": 3, + "total": 3 + }, + "decode_tokens_per_second": { + "maximum": 36.612, + "median": 36.451, + "minimum": 35.252, + "p90": 36.612 + }, + "runs": [ + { + "completion_tokens": 1050, + "completion_validation": { + "valid": true + }, + "decode_seconds": 28.652008, + "decode_tokens_per_second": 36.612, + "finish_reason": "stop", + "measured_sse_events": 1048, + "output": "**MEMO: Hardware Purchase vs. Utilisation Improvement \u2014 Recommendation**\n\n**To:** Engineering Team\n**From:** Infrastructure Lead\n**Re:** Whether to buy more local AI hardware or improve utilisation of what we own\n\n**Background**\n\nWe currently operate a small on-premise cluster of GPU nodes that serves our model inference workloads, internal experimentation, and batch fine-tuning jobs. Over the past quarter, utilisation has been uneven: peak demand on weekday afternoons regularly saturates capacity, while nights and weekends sit largely idle. Queue times during peak hours have grown to the point where engineers are context-switching away while jobs wait, and at least two feature launches were delayed because someone couldn't get a GPU slot when they needed it. The obvious instinct is to buy more hardware. I've looked at the numbers, and I think that instinct is half right at best. My recommendation is that we spend the next quarter aggressively improving utilisation of what we own, with a small, carefully scoped purchase only if specific conditions materialise.\n\n**The case for buying more hardware**\n\nLet me be fair to the purchase option first. Adding capacity is fast to reason about. If we're queueing, more GPUs means shorter queues, full stop. There's no behavioural change required, no new scheduling system to build, no awkward conversations about who gets priority. Latency for interactive work improves immediately and predictably. And our current hardware is aging; buying now, while a particular generation is still available and supported, has some appeal compared to being forced into a purchase later under time pressure.\n\n**The case against buying right now**\n\nThe problem is what the purchase costs us beyond the invoice. Capital expenditure on GPUs is large and largely irreversible \u2014 the resale market for used accelerators is thin and moves against you quickly, and once the hardware is racked, the money is gone whether we use it well or not. That irreversibility matters more than it first appears, because our demand pattern is itself uncertain. We don't actually know how much of our peak load is genuine need versus poor scheduling. If a third of our peak is jobs that could run overnight, or duplicate experiments that could be consolidated, we'd be buying hardware to solve a discipline problem.\n\nThere's also opportunity cost. The budget we'd spend on new nodes is budget we can't spend on the data pipeline work, the observability tooling, or the additional engineer-months that several of us agree would deliver more durable value. And reliability cuts both ways: more hardware means more components, more failure modes, more power and cooling load, and more maintenance surface for a team that is already stretched thin. A larger fleet we can't operate well is worse than a smaller fleet we can.\n\n**What utilisation improvement actually looks like**\n\nThe alternative is unglamorous but well understood. We need real scheduling: a queue with priorities, preemption for batch jobs, and guaranteed slots for interactive work, so that a launch-critical experiment doesn't sit behind someone's weekend benchmark. We need to shift genuinely deferrable work \u2014 fine-tuning runs, evaluation sweeps, bulk embedding jobs \u2014 into off-peak windows, which costs nothing but coordination. We need telemetry good enough to tell us what's actually running, for whom, and whether it justifies its slot; right now we're allocating scarce capacity largely on trust and anecdote. And we need a lightweight policy for reclaiming idle reservations, because our current model of \"reserve it and maybe use it\" is the single largest source of phantom demand I can identify.\n\nNone of this is free. It's probably two to three engineer-weeks of work, plus the ongoing social cost of saying no to each other occasionally. But that cost is an order of magnitude below a hardware purchase, it's reversible \u2014 we can adjust policies as we learn \u2014 and it produces information we currently lack.\n\n**Recommendation**\n\nSpend the next quarter on utilisation: scheduling, off-peak migration, telemetry, and reservation hygiene. Set a concrete trigger now: if, after that work, peak-hour queue times still exceed a defined threshold \u2014 I'd suggest more than thirty minutes for priority jobs on more than two days per week \u2014 we proceed with a purchase, scoped to the smallest configuration that closes the gap, with budget pre-approved so we're not re-litigating the decision under pressure.\n\n**Uncertainty**\n\nI want to be honest about what I don't know. Utilisation improvements often deliver less than their advocates promise, because human behaviour is sticky and some peak demand is genuinely inelastic. If our peak is real and irreducible, we'll have spent a quarter learning that, and the purchase case will be stronger and better targeted for it. Conversely, if utilisation work succeeds, we'll have bought ourselves time to purchase deliberately rather than reactively, likely at better prices and with clearer requirements. The asymmetry favours waiting: the downside of trying utilisation first is a quarter of modest friction; the downside of buying first is a large, sunk, possibly unnecessary expenditure.\n\nHappy to discuss at Thursday's planning session.", + "output_characters": 5270, + "output_sha256": "b10cdc915b70be244e835d8cbf1f5769df819364fba3d8222eb137c73917d1ea", + "prompt_tokens": 124, + "reasoning_characters": 62, + "reasoning_sha256": "7eddaec104351da3aba6059600be80b14d17920bd2df8ba3f1ac3d20ffb662d1", + "response_tail_seconds": 0.002401, + "run": 1, + "stream_done_marker": true, + "stream_sha256": "bdb71828588f8957cb1af0866f2a4dc71bf913afa801d098bbb1be3e28d515ac", + "time_to_first_visible_seconds": 1.157203, + "time_to_last_output_seconds": 29.394265, + "ttft_seconds": 0.742257, + "wall_seconds": 29.396666 + }, + { + "completion_tokens": 1063, + "completion_validation": { + "valid": true + }, + "decode_seconds": 30.125754, + "decode_tokens_per_second": 35.252, + "finish_reason": "stop", + "measured_sse_events": 1061, + "output": "**MEMO**\n\n**To:** Platform Engineering Team\n**From:** Infrastructure Lead\n**Re:** GPU capacity \u2014 buy more, or use what we have better?\n**Date:** Friday planning cycle\n\nWe've reached the point in the quarter where the question of AI hardware capacity has become urgent enough that we need a shared position rather than a running debate. Inference latency on our recommendation service has crept past the 400ms p99 threshold twice this month, the batch fine-tuning queue regularly backs up on Tuesdays, and two teams have informally asked whether they should \"just get their own box.\" The instinct in the room has been to requisition two more GPU nodes. I want to argue, carefully, that we should spend the next six to eight weeks improving utilisation of the hardware we already own before we commit to a purchase \u2014 and that this is not a cost-cutting reflex but the better engineering decision on its own merits.\n\nStart with the economics, because they frame everything else. The two nodes we're contemplating represent a capital outlay that, once depreciation, power, cooling, and rack space are accounted for, lands somewhere in the mid five figures annually. That's not an impossible number for us, but it's a number that comes out of the same budget that funds the observability work we've been deferring and the second site-reliability hire we keep saying we need. More importantly, the purchase is largely irreversible at our scale. GPUs depreciate quickly, resale is a hassle, and once the hardware is racked, the operating cost is locked in whether or not the utilisation justifies it. By contrast, the utilisation work \u2014 better batching, smarter scheduling, quantisation where the quality tradeoff is acceptable, and honestly just fixing the fact that our fine-tuning jobs hold GPUs hostage through long data-loading phases \u2014 is mostly staff time we'd spend anyway, and nearly every piece of it is reversible. If a quantised model degrades answer quality, we roll it back in an afternoon. If we buy two nodes and discover six months later that our real problem was a scheduling bug, we're stuck carrying hardware we didn't need.\n\nThe utilisation numbers themselves make the case more strongly than the budget does. Our own telemetry suggests the inference cluster idles between 30 and 45 percent of available compute in any given hour, and the batch cluster runs hot only in bursts, sitting mostly dormant otherwise. A well-tuned scheduler that lets batch jobs soak up inference headroom overnight, plus dynamic batching on the serving path, could plausibly recover the equivalent of one of the two nodes we want to buy. Latency, notably, is not purely a capacity problem. Some of our p99 tail comes from cold starts and from requests queuing behind oversized batches \u2014 problems that more hardware would mask but not fix, and that would follow us onto the new nodes within a quarter. Fixing them now, on hardware we already understand, is cheaper and teaches us more.\n\nReliability cuts the other way, and I want to be honest about that. Right now, if a node fails, we have very little slack; a second failure would mean degraded service or dropped batch work. Buying capacity is the straightforward answer to that fragility, and I don't want to pretend utilisation work substitutes for genuine redundancy. But there's a middle path: we can buy one node rather than two, which restores a meaningful reliability margin at roughly half the cost and half the commitment, while the utilisation work covers the remaining capacity gap. If the utilisation work stalls or the quality tradeoffs prove unacceptable, we can revisit the second node with much better data about what we actually need \u2014 and we'll be negotiating that purchase knowing our true demand curve rather than our panicked one.\n\nThe opportunity cost deserves a sentence of its own. Every engineer-week we'd spend integrating and operating new hardware is a week not spent on the model-quality and observability work that our users actually notice. Hardware is a substitute for thinking; utilisation work is thinking.\n\nSo my recommendation is this: approve one node now for reliability headroom, defer the second, and commit the team to a focused utilisation effort \u2014 scheduling, batching, and quantisation \u2014 with a checkpoint in eight weeks. If p99 latency is back under threshold and batch queue times are acceptable, we've saved the cost of a node and learned something durable about our own workload. If not, we buy the second node knowing exactly why.\n\nI want to flag the main uncertainty plainly: utilisation improvements are notoriously harder to land than their advocates predict, and a 40 percent recovery on paper can become 15 percent in practice once edge cases and model-specific quirks surface. If we're at the checkpoint with little to show, we should not rationalise our way past that \u2014 we buy the node and move on. What I'm asking us to avoid is not the purchase but the unpurchased decision: spending capital before we understand the demand we're buying for.\n\nHappy to argue about this at Monday's sync. Bring your scepticism; that's what the checkpoint is for.", + "output_characters": 5146, + "output_sha256": "c8515081d6b74b04e236f1257466358d7d398a042337943d0309f40444482533", + "prompt_tokens": 121, + "reasoning_characters": 117, + "reasoning_sha256": "8c039643bdb920647bcfffbffba408fa5c6b59d8c3598b92ae4b295b5b788ffb", + "response_tail_seconds": 0.002395, + "run": 2, + "stream_done_marker": true, + "stream_sha256": "97d43b7fc6306d2ee14e34ec3c1cfd4516a315cb36db597df3a8734aa81e9a5b", + "time_to_first_visible_seconds": 1.335746, + "time_to_last_output_seconds": 30.862073, + "ttft_seconds": 0.736319, + "wall_seconds": 30.864468 + }, + { + "completion_tokens": 1018, + "completion_validation": { + "valid": true + }, + "decode_seconds": 27.900609, + "decode_tokens_per_second": 36.451, + "finish_reason": "stop", + "measured_sse_events": 1016, + "output": "**MEMO**\n\n**To:** Platform Engineering Team\n**From:** Infrastructure Planning\n**Re:** Buy more inference hardware, or get more from what we have?\n**Status:** For discussion at Thursday's planning session\n\nWe've reached the point where our GPU fleet is running hot enough that the question of capacity has become urgent. The obvious instinct is to buy more, and I want to be careful not to talk ourselves out of a purchase that may genuinely be needed. But before we commit capital, I think we owe ourselves an honest accounting of how well we're actually using what we own, because the two options are not symmetric in cost, risk, or reversibility.\n\nStart with the economics. A serious hardware purchase \u2014 even a modest one, a couple of high-memory accelerators plus the networking, power, and cooling that come with them \u2014 is a six-figure commitment with a three-to-five-year depreciation horizon. It also carries hidden carrying costs: rack space, maintenance contracts, and the engineering time to integrate and operate the new kit. Improving utilisation, by contrast, is mostly an investment of time. Batching improvements, better request scheduling, quantising models where quality permits, consolidating the long tail of small workloads onto shared instances, and killing the zombie jobs nobody remembers starting \u2014 these are weeks of engineering effort, not capital expenditure. If we can defer a purchase by even two quarters through utilisation work, the option value alone is substantial, because accelerator prices and capabilities are moving quickly in both directions.\n\nLatency is the strongest argument on the buying side, and I don't want to minimise it. Our p95 response times degrade noticeably during the afternoon peak, and some of that is queuing, not compute. But queuing is precisely the symptom that utilisation work addresses. Right now our average GPU utilisation sits around 40 percent, which sounds comfortable until you notice the variance: individual cards swing between idle and saturation because work arrives in bursts and our scheduler assigns jobs greedily rather than by priority class. Smarter queueing, priority tiers for latency-sensitive traffic, and dynamic batching would flatten those peaks considerably. If, after that work, p95 latency is still unacceptable, we will have learned something precise about how much capacity we actually need \u2014 and we'll buy with evidence rather than anxiety.\n\nReliability cuts both ways. More hardware means more redundancy, and right now a single node failure during peak hours is genuinely painful. But redundancy bought through utilisation work looks different: if we consolidate workloads intelligently and keep headroom on a subset of machines, we can designate them as failover capacity, which gives us most of the resilience benefit without new capital. There's also a reliability argument against buying: every new device class we introduce is a new failure mode, a new driver stack, a new set of quirks our on-call rotation has to learn. Our team is small. Operational surface area is a real cost.\n\nThe opportunity cost question deserves plain speech. Money spent on hardware this quarter is money not spent on the product work that justifies the hardware's existence in the first place. And engineering time spent integrating new machines is time not spent on the utilisation improvements themselves. The reverse is also true, of course \u2014 time spent optimising is time not spent shipping features \u2014 but the asymmetry favours optimisation: the utilisation work is bounded, well-understood, and pays off immediately, whereas a purchase locks in assumptions about our workload mix that may not hold.\n\nReversibility is where the gap is widest. Utilisation improvements are almost entirely reversible; if a scheduling change hurts latency, we roll it back in an afternoon. A hardware purchase is not. Once we've bought accelerators, the rational pressure to keep them busy \u2014 to find workloads that justify them \u2014 is a well-documented trap. We would be committing to a utilisation pattern we can't yet predict, in a field where model architectures and serving strategies are shifting under our feet.\n\nSo my recommendation is this: commit the next six to eight weeks to a focused utilisation effort, with explicit, measurable targets \u2014 p95 latency under load, average and peak utilisation, and cost per thousand requests. If we hit those targets, we've saved the capital and learned a great deal. If we miss them, we'll know exactly what to buy and why, and we'll be in a far stronger position to make that case.\n\nI want to be honest about the uncertainty here. Utilisation work has a way of revealing diminishing returns late; it's possible we'll spend six weeks and conclude we needed the hardware after all, in which case we'll have paid a delay cost measured in weeks against a purchase decision measured in years. I judge that risk acceptable, and smaller than the risk of buying on incomplete information. 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b/results/2026-10-09-rc2/raw/tf110-matrix/c1-16k.json new file mode 100644 index 0000000..e3ff96a --- /dev/null +++ b/results/2026-10-09-rc2/raw/tf110-matrix/c1-16k.json @@ -0,0 +1 @@ +{"config": {"concurrency": 1, "disable_loop_watchdog": false, "enable_thinking": false, "exact_prompt_tokens": true, "max_output_tokens": 400, "max_output_tokens_by_request": [400], "min_output_tokens": 400, "min_output_tokens_by_request": [400], "prompt_salt": "mb-h2h-tf110-1791505040-c1-16k", "prompt_style": "isolation", "prompt_styles_by_request": ["isolation"], "requested_prompt_tokens": 16384, "requested_prompt_tokens_by_request": [16384], "stagger_ms": 1000}, "requests": [{"accepted_prediction_tokens": 0, "completion_tokens": 400, "decode_tok_s": 52.56273146220146, "effective_prefill_tok_s": 2083.514926629448, "elapsed_s": 15.45456428000034, "error": null, "finish_reason": "length", "foreign_request_markers": [], "inter_event_gap_p95_s": 0.02766790300665889, "max_inter_event_gap_s": 0.13382423899747664, "output_chars": 1498, "output_preview": "I've received your benchmark request for case **mb-h2h-tf110-1791505040-c1-16k**.\n\n**Payload summary:** The message consists of the word \"alpha\" repeated approx", "output_sha256": "3c6dbb4b89f728c8d30076264a31ad3f80e4c712f3a7ef0846bc595f4e757552", "own_request_marker": true, "prompt_sha256": "c9e932c29a346e327ec4be12f50c8389e88f38557a88538e2cc0ecfe2f7fac30", "prompt_tokens": 16384, "reached_requested_completion_tokens": true, "rejected_prediction_tokens": 0, "request_id": 0, "requested_completion_tokens": 400, "scheduled_s": 0.0, "started_s": 0.00016164399858098477, "ttft_s": 7.863634568006091, "visible_events": 399}], "summary": {"aggregate_decode_tok_s": 52.56273146220146, "aggregate_effective_prefill_tok_s": 2083.514926629448, "decode_tok_s_p50": 52.56273146220146, "decode_tok_s_sum": 52.56273146220146, "effective_prefill_tok_s_p50": 2083.514926629448, "successful": 1, "ttft_p50_s": 7.863634568006091, "ttft_p95_s": 7.863634568006091, "wall_s": 15.455080580002686}} diff --git a/results/2026-10-09-rc2/raw/tf110-matrix/c1-32k.json b/results/2026-10-09-rc2/raw/tf110-matrix/c1-32k.json new file mode 100644 index 0000000..27b8f51 --- /dev/null +++ b/results/2026-10-09-rc2/raw/tf110-matrix/c1-32k.json @@ -0,0 +1 @@ +{"config": {"concurrency": 1, "disable_loop_watchdog": false, "enable_thinking": false, "exact_prompt_tokens": true, "max_output_tokens": 400, "max_output_tokens_by_request": [400], "min_output_tokens": 400, "min_output_tokens_by_request": [400], "prompt_salt": "mb-h2h-tf110-1791505040-c1-32k", "prompt_style": "isolation", "prompt_styles_by_request": ["isolation"], "requested_prompt_tokens": 32768, "requested_prompt_tokens_by_request": [32768], "stagger_ms": 1000}, "requests": [{"accepted_prediction_tokens": 0, "completion_tokens": 400, "decode_tok_s": 52.810334881189945, "effective_prefill_tok_s": 2108.160830564028, "elapsed_s": 23.098745467999834, "error": null, "finish_reason": "length", 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Here's the summary:\n\n**Payload summary:** The message consists of the word \"alpha\" repeated approximately 4,000 times, foll", "output_sha256": "3c0fe35f10b07dc9c06faf81a73f81480f672110d2e73077b023ff5131b79973", "own_request_marker": true, "prompt_sha256": "bbe7122086f0c4e0137f8672a8c852b63663d3e22cf1480158915529a4ab5e29", "prompt_tokens": 32768, "reached_requested_completion_tokens": true, "rejected_prediction_tokens": 0, "request_id": 0, "requested_completion_tokens": 400, "scheduled_s": 0.0, "started_s": 7.03249970683828e-05, "ttft_s": 15.543406140997831, "visible_events": 400}], "summary": {"aggregate_decode_tok_s": 52.810334881189945, "aggregate_effective_prefill_tok_s": 2108.160830564028, "decode_tok_s_p50": 52.810334881189945, "decode_tok_s_sum": 52.810334881189945, "effective_prefill_tok_s_p50": 2108.160830564028, "successful": 1, "ttft_p50_s": 15.543406140997831, "ttft_p95_s": 15.543406140997831, "wall_s": 23.09933937599999}} diff --git a/results/2026-10-09-rc2/raw/tf110-matrix/c2-16k.json b/results/2026-10-09-rc2/raw/tf110-matrix/c2-16k.json new file mode 100644 index 0000000..85a1ac3 --- /dev/null +++ b/results/2026-10-09-rc2/raw/tf110-matrix/c2-16k.json @@ -0,0 +1 @@ +{"config": {"concurrency": 2, "disable_loop_watchdog": false, "enable_thinking": false, "exact_prompt_tokens": true, "max_output_tokens": 400, "max_output_tokens_by_request": [400, 400], "min_output_tokens": 400, "min_output_tokens_by_request": [400, 400], "prompt_salt": "mb-h2h-tf110-1791505040-c2-16k", "prompt_style": "isolation", "prompt_styles_by_request": ["isolation", "isolation"], "requested_prompt_tokens": 16384, "requested_prompt_tokens_by_request": [16384, 16384], "stagger_ms": 1000}, "requests": [{"accepted_prediction_tokens": 0, "completion_tokens": 400, "decode_tok_s": 22.076361426406212, "effective_prefill_tok_s": 2096.3493682674402, "elapsed_s": 25.889121717002126, "error": null, "finish_reason": "length", "foreign_request_markers": [], "inter_event_gap_p95_s": 0.11643670400371775, "max_inter_event_gap_s": 0.4006033599944203, "output_chars": 1745, "output_preview": "I've noted the payload summary and the FINAL-FACT marker. 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**mb-h2h-tf110-1791505040-c2-16k**.\n\n**Payload summary:** The message consists of a single token (\"alpha\") repeated", "output_sha256": "7f37bff4d313abe5d02f0c399e04ab84d719652a1e2074bc3ec6479adb9afa16", "own_request_marker": true, "prompt_sha256": "c4f8d01f859b8956bf57ebbac8dbd0bb07c0ebf7740f3eacee9ef07255d0d26d", "prompt_tokens": 16384, "reached_requested_completion_tokens": true, "rejected_prediction_tokens": 0, "request_id": 1, "requested_completion_tokens": 400, "scheduled_s": 1.0, "started_s": 1.000550143995497, "ttft_s": 17.50893123199785, "visible_events": 400}], "summary": {"aggregate_decode_tok_s": 38.32962904206587, "aggregate_effective_prefill_tok_s": 1770.3512260362495, "decode_tok_s_p50": 30.740769694031997, "decode_tok_s_sum": 61.48153938806399, "effective_prefill_tok_s_p50": 1516.0501867245916, "successful": 2, "ttft_p50_s": 12.662211206501524, "ttft_p95_s": 17.50893123199785, "wall_s": 28.635716238997702}} diff --git a/results/2026-10-09-rc2/raw/tf110-matrix/c2-32k.json b/results/2026-10-09-rc2/raw/tf110-matrix/c2-32k.json new file mode 100644 index 0000000..b8041ee --- /dev/null +++ b/results/2026-10-09-rc2/raw/tf110-matrix/c2-32k.json @@ -0,0 +1 @@ +{"config": {"concurrency": 2, "disable_loop_watchdog": false, "enable_thinking": false, "exact_prompt_tokens": true, "max_output_tokens": 400, "max_output_tokens_by_request": [400, 400], "min_output_tokens": 400, "min_output_tokens_by_request": [400, 400], "prompt_salt": "mb-h2h-tf110-1791505040-c2-32k", "prompt_style": "isolation", "prompt_styles_by_request": ["isolation", "isolation"], "requested_prompt_tokens": 32768, "requested_prompt_tokens_by_request": [32768, 32768], "stagger_ms": 1000}, "requests": [{"accepted_prediction_tokens": 0, "completion_tokens": 400, "decode_tok_s": 18.785606682945463, "effective_prefill_tok_s": 2116.4368041991684, "elapsed_s": 36.72229162500298, "error": null, "finish_reason": "length", "foreign_request_markers": [], "inter_event_gap_p95_s": 0.13386346700281138, "max_inter_event_gap_s": 0.40114768599596573, "output_chars": 1407, "output_preview": "The payload consists of the word \"alpha\" repeated many times (thousands of occurrences) as a single continuous token stream, with no other content besides the i", "output_sha256": "3824f78f24022832fe856be90fba65a76ae7ed4ce1cf4601e26445e8ed5ab746", "own_request_marker": true, "prompt_sha256": "0ee488fb7084c2895ae1fb93b0ef327b868a99f594b67436f6ef2c98707ed6a5", "prompt_tokens": 32768, "reached_requested_completion_tokens": true, "rejected_prediction_tokens": 0, "request_id": 0, "requested_completion_tokens": 400, "scheduled_s": 0.0, "started_s": 7.772399840177968e-05, "ttft_s": 15.482626240001991, "visible_events": 395}, {"accepted_prediction_tokens": 0, "completion_tokens": 400, "decode_tok_s": 55.61667496690631, "effective_prefill_tok_s": 895.6194897381266, "elapsed_s": 43.76107361100003, "error": null, "finish_reason": "length", "foreign_request_markers": [], "inter_event_gap_p95_s": 0.024006412997550797, "max_inter_event_gap_s": 0.12319897600536933, "output_chars": 1524, "output_preview": "I've reviewed the payload for benchmark case **mb-h2h-tf110-1791505040-c2-32k**.\n\n**Payload summary:** The payload consists of the word \"alpha\" repeated a very ", "output_sha256": "dd3b62345d5509568d157b244997a76d9bf6e1634158ae747944fb6b02e5b634", "own_request_marker": true, "prompt_sha256": "c0aa1feca05ef8cb6bb6c4171ea36ac09cdb6e60d5b942ed60beea202e40add1", "prompt_tokens": 32768, "reached_requested_completion_tokens": true, "rejected_prediction_tokens": 0, "request_id": 1, "requested_completion_tokens": 400, "scheduled_s": 1.0, "started_s": 1.0001713750025374, "ttft_s": 36.58696620099363, "visible_events": 393}], "summary": {"aggregate_decode_tok_s": 27.255456458719056, "aggregate_effective_prefill_tok_s": 1743.5787810500092, "decode_tok_s_p50": 37.201140824925886, "decode_tok_s_sum": 74.40228164985177, "effective_prefill_tok_s_p50": 1506.0281469686474, "successful": 2, "ttft_p50_s": 26.03479622049781, "ttft_p95_s": 36.58696620099363, "wall_s": 44.7619387129962}} diff --git a/results/2026-10-09-rc2/raw/tf110-matrix/c4-16k.json b/results/2026-10-09-rc2/raw/tf110-matrix/c4-16k.json new file mode 100644 index 0000000..37d74f5 --- /dev/null +++ b/results/2026-10-09-rc2/raw/tf110-matrix/c4-16k.json @@ -0,0 +1 @@ +{"config": {"concurrency": 4, "disable_loop_watchdog": false, "enable_thinking": false, "exact_prompt_tokens": true, "max_output_tokens": 400, "max_output_tokens_by_request": [400, 400, 400, 400], "min_output_tokens": 400, "min_output_tokens_by_request": [400, 400, 400, 400], "prompt_salt": "mb-h2h-tf110-1791505040-c4-16k", "prompt_style": "isolation", "prompt_styles_by_request": ["isolation", "isolation", "isolation", "isolation"], "requested_prompt_tokens": 16384, "requested_prompt_tokens_by_request": [16384, 16384, 16384, 16384], "stagger_ms": 1000}, "requests": [{"accepted_prediction_tokens": 0, "completion_tokens": 400, "decode_tok_s": 13.078135724124516, "effective_prefill_tok_s": 2085.5579757120195, "elapsed_s": 38.36486677000357, "error": null, "finish_reason": "length", "foreign_request_markers": [], "inter_event_gap_p95_s": 0.1656704049964901, "max_inter_event_gap_s": 0.4007736630010186, "output_chars": 1422, "output_preview": "I've received your benchmark request. Here's the summary:\n\n**Payload Summary:**\n- **Case ID:** mb-h2h-tf110-1791505040-c4-16k\n- **Content:** The payload consist", "output_sha256": "38bcc1dff9cac0d5fc0625830964abc78d90d67784a7754d72d4fb747b89e69e", "own_request_marker": true, "prompt_sha256": "7518c6c5767f6954018153d2a2dd4c297c98426314dc802708bd3c3de905e4ee", "prompt_tokens": 16384, "reached_requested_completion_tokens": true, "rejected_prediction_tokens": 0, "request_id": 0, "requested_completion_tokens": 400, "scheduled_s": 0.0, "started_s": 0.00016135400073835626, "ttft_s": 7.855931213998701, "visible_events": 397}, {"accepted_prediction_tokens": 0, "completion_tokens": 400, "decode_tok_s": 14.367030710932461, "effective_prefill_tok_s": 933.9148292455297, "elapsed_s": 45.315273737003736, "error": null, "finish_reason": "length", "foreign_request_markers": [], "inter_event_gap_p95_s": 0.19562046400096733, "max_inter_event_gap_s": 0.30370932000369066, "output_chars": 1417, "output_preview": "Payload summary: The message consists of the word \"alpha\" repeated many hundreds of times as filler content, followed by the token FINAL-FACT at the end. No oth", "output_sha256": "d2b9478402f78ab7fccfbd255aa21f400dde5dc7340d2f11758f69749d6690b1", "own_request_marker": true, "prompt_sha256": "377811fddc7835642001f03fa43b0b661c1db2ed60534cc3868949ba7871d11e", "prompt_tokens": 16384, "reached_requested_completion_tokens": true, "rejected_prediction_tokens": 0, "request_id": 1, "requested_completion_tokens": 400, "scheduled_s": 1.0, "started_s": 1.0000825009992695, "ttft_s": 17.54335565400106, "visible_events": 399}, {"accepted_prediction_tokens": 0, "completion_tokens": 400, "decode_tok_s": 18.719556766610413, "effective_prefill_tok_s": 570.5318028669493, "elapsed_s": 50.03167421499529, "error": null, "finish_reason": "length", "foreign_request_markers": [], "inter_event_gap_p95_s": 0.13407204700342845, "max_inter_event_gap_s": 0.35232625099888537, "output_chars": 1366, "output_preview": "I notice this message contains a very long payload of repeated \"alpha\" tokens, along with instructions to summarize it, repeat a specific string, and mention \"F", "output_sha256": "a4881f16d16590d437a9d64cc0aaa7dc73446317ef444210734c7d277c9994f8", "own_request_marker": true, "prompt_sha256": "0dec96331c7c8af13266c5c23ce7bc3eac64590fc1ae6a5bed2ff313d689abe3", "prompt_tokens": 16384, "reached_requested_completion_tokens": true, "rejected_prediction_tokens": 0, "request_id": 2, "requested_completion_tokens": 400, "scheduled_s": 2.0, "started_s": 2.0004573410042212, "ttft_s": 28.717066984994744, "visible_events": 400}, {"accepted_prediction_tokens": 0, "completion_tokens": 400, "decode_tok_s": 35.6434514182177, "effective_prefill_tok_s": 402.51857670823307, "elapsed_s": 51.897913586995855, "error": null, "finish_reason": "length", "foreign_request_markers": [], "inter_event_gap_p95_s": 0.05098749199532904, "max_inter_event_gap_s": 0.20085624499915866, "output_chars": 1694, "output_preview": "I notice this request contains a very long payload of repeated words, an embedded instruction to repeat a specific string, and a reference to \"FINAL-FACT\" \u2014 but", "output_sha256": "7a759c5f2bcdf6bf878e1f4769a1a7024443e82eb8f573cde4cae2e2478e4d91", "own_request_marker": true, "prompt_sha256": "d1722a3afcef26be929aa9bd0bee44a5b3ca714f0b07242726ae34cc0776a71d", "prompt_tokens": 16384, "reached_requested_completion_tokens": true, "rejected_prediction_tokens": 0, "request_id": 3, "requested_completion_tokens": 400, "scheduled_s": 3.0, "started_s": 3.0007647090023966, "ttft_s": 40.703711451002164, "visible_events": 398}], "summary": {"aggregate_decode_tok_s": 33.92670652136565, "aggregate_effective_prefill_tok_s": 1499.5315746489425, "decode_tok_s_p50": 16.54329373877144, "decode_tok_s_sum": 81.8081746198851, "effective_prefill_tok_s_p50": 752.2233160562396, "successful": 4, "ttft_p50_s": 23.130211319497903, "ttft_p95_s": 40.703711451002164, "wall_s": 54.8996625830041}} From 59d85f601686c6bcc80096fd214dc46bd8cbde4e Mon Sep 17 00:00:00 2001 From: Jason McCartney Date: Fri, 9 Oct 2026 20:20:42 -0700 Subject: [PATCH 2/2] docs: KV shard default, 4x1m, RC2 pool and memory figures in INSTALL-MANUAL, LIMITATIONS, REPRODUCE and .env.example Co-Authored-By: Claude Opus 5.5 --- .env.example | 14 ++++++++------ docs/INSTALL-MANUAL.md | 26 ++++++++++++++++++-------- docs/LIMITATIONS.md | 17 +++++++++++------ docs/REPRODUCE.md | 9 +++++---- 4 files changed, 42 insertions(+), 24 deletions(-) diff --git a/.env.example b/.env.example index 1061910..3b56c52 100644 --- a/.env.example +++ b/.env.example @@ -10,13 +10,14 @@ WORKER=you@192.0.2.2 #MODEL_ROOT=/srv/models/sparkglm # 4x1m (default): 4 requests x 1M context, the model's full window; the -# requests share one KV pool (~2.62M tokens with the shard and the carveout at -# 0.91; a 925K-token needle prompt is found). 4x512k: 4 x 512K. 8x128k: 8 x 128K. +# requests share one KV pool (~2.61M tokens with the shard and the carveout at +# 0.91, ~2.36M with the disk prefix cache; a 925K-token needle prompt is found). 4x512k: 4 x 512K. 8x128k: 8 x 128K. #PROFILE=4x1m # Share of each Spark's unified memory for the engine (0.80-0.95, default 0.88). # On Sparks that run nothing else, 0.91 roughly doubles the KV pool that holds -# long contexts and the prefix cache (about 600K to 1.13M tokens). Above 0.91, +# long contexts and the prefix cache (about 600K to 1.13M tokens unsplit; the +# KV shard below holds about 1.8x that). Above 0.91, # real traffic took our rank 0 below 1 GiB free; keep at least ~4 GB free. #GPU_MEMORY_UTILIZATION=0.91 @@ -24,7 +25,8 @@ WORKER=you@192.0.2.2 # (ext4/xfs, not tmpfs), so a returning conversation is read back instead of # prefilled again. Off unless the directory is set. It is created at the same # path on both Sparks. The size is in GiB per Spark (16-100, default 48) and -# must be free there; the default takes about 60K tokens from the KV pool. +# must be free there; the default takes about 60K tokens from an unsplit KV +# pool, about 250K from a split one (2.61M to 2.36M at 0.91 with the carveout). #PREFIX_CACHE_DIR=/srv/sparkglm/prefix-cache #PREFIX_CACHE_GB=48 @@ -36,8 +38,8 @@ WORKER=you@192.0.2.2 # The KV cache is split between the two Sparks: each stores the latents of half # the blocks, so the shared pool holds about 1.8x the tokens. With the display -# carveout at 0.91: ~2.62M tokens (1.36M unsplit), lowest free memory 4.5 GB in -# a four-session 204K fill. On by default, with or without the disk prefix +# carveout at 0.91: ~2.61M tokens (1.38M unsplit), lowest free memory 4.5 GB in +# a four-session 204K fill; ~2.36M with the disk prefix cache (4.8 GB). On by default, with or without the disk prefix # cache (each Spark spills only its own half). 0 turns it off. #KV_SHARD=0 diff --git a/docs/INSTALL-MANUAL.md b/docs/INSTALL-MANUAL.md index e4de53e..8169507 100644 --- a/docs/INSTALL-MANUAL.md +++ b/docs/INSTALL-MANUAL.md @@ -9,7 +9,7 @@ time. Run steps 1–4 on **both** Sparks with the same `MODEL_ROOT`. | Model | [`nvidia/GLM-5.3-Flash-NVFP4`](https://huggingface.co/nvidia/GLM-5.3-Flash-NVFP4) @ `423acf37583782c51c142d145aef733d72943d93` (MIT) | | Drafter | [`incoai/GLM-5.3-Flash-DFlash2`](https://huggingface.co/incoai/GLM-5.3-Flash-DFlash2) @ `7d74cdd881ed7e32c31175984a67823127b66cfe` (CC BY-NC-ND 4.0) | | Native dependencies | FlashInfer `8eccd0c1`, CUTLASS `cf064d2e`, FlashKDA ([`install/flash_kda/`](../install/flash_kda/)), Rust 1.93.1, CUDA 13.0 | -| Profiles | [`install/profiles/`](../install/profiles/): `4x512k` (default) and `8x128k` | +| Profiles | [`install/profiles/`](../install/profiles/): `4x1m` (what `./start.sh` runs), `4x512k` (the `start-node.sh` default) and `8x128k` | ## 1. Get the recipe @@ -88,20 +88,30 @@ until curl -sf http://127.0.0.1:8893/health; do sleep 10; done the CUDA kernel cache (`~/.cache/atlas-cuda`), and so do the first requests of each shape; later starts reuse it. Run one warmup pass before measuring. -**Profiles.** `--profile 8x128k` selects the other shipped profile. A path to a -JSON file runs your own profile. Use the same profile on both ranks. +**Profiles.** `start-node.sh` defaults to `4x512k`. `--profile 4x1m` runs what +`./start.sh` runs (four requests of up to 1,048,576 tokens), and +`--profile 8x128k` selects the third shipped profile. A path to a JSON file +runs your own profile. Use the same profile on both ranks. -**Memory share.** `--gpu-memory-utilization 0.91` on both ranks gives a KV -pool of about 1.13M tokens on Sparks that run nothing else; without it the -profile's 0.88 gives about 600K. We run 0.91: above it, real traffic took our -rank 0 below 1 GiB free. +**Memory share.** `--gpu-memory-utilization 0.91` on both ranks gives an +unsplit KV pool of about 1.13M tokens on Sparks that run nothing else; without +it the profile's 0.88 gives about 600K. We run 0.91: above it, real traffic +took our rank 0 below 1 GiB free. + +**KV shard.** `--kv-shard` on both ranks splits the KV cache between the two +Sparks: each stores the latents of half the blocks, so the pool holds about +1.8x the tokens, and the output is bit-identical to the unsplit pool's. +`./start.sh` turns it on by default; `start-node.sh` leaves it off unless you +pass the flag. At 0.91 with the display carveout the pool is about 2.61M +tokens, or 2.36M with the disk prefix cache. **Prefix cache on disk.** `--prefix-cache-dir DIR` (and optionally `--prefix-cache-gb 48`) on both ranks keeps evicted prefix-cache entries on each node's disk; see the README for what it costs. **Display memory as KV cache.** `--display-carveout` on both ranks lends each -Spark's 2 GiB display carveout to the KV cache (about 1.37M tokens at 0.91). +Spark's 2 GiB display carveout to the KV cache (about 1.38M tokens at 0.91 +unsplit, 2.61M with `--kv-shard`). The container starts with `CAP_SYS_ADMIN` to export it, which the server drops before it loads anything, and shares the lock directory `/run/lock/sparkglm`. It needs a validated driver (580.173.02 or 580.178.04) diff --git a/docs/LIMITATIONS.md b/docs/LIMITATIONS.md index 6a1988a..a2296ea 100644 --- a/docs/LIMITATIONS.md +++ b/docs/LIMITATIONS.md @@ -25,10 +25,13 @@ What to know before relying on SparkGLM. ## Capacity and prefix caching -- All requests share one KV pool, which also holds the prefix cache: about - 600K tokens at the default 0.88 memory utilization, and about 1.13M at 0.91 - on dedicated Sparks. A request needs pool room for its whole context, so four - full 512K requests do not fit at once; later requests wait for room. +- All requests share one KV pool, which also holds the prefix cache. Unsplit, + it is about 600K tokens at the default 0.88 memory utilization and about + 1.13M at 0.91 on dedicated Sparks. With the KV shard (`./start.sh`'s default) + it holds about 1.8x that: 2.61M tokens at 0.91 with the display carveout, or + 2.36M with the disk prefix cache. A request needs pool room for its whole + context, so four full 1M requests do not fit at once; later requests wait + for room. - At 0.93 on dedicated Sparks the pool is about 1.63M tokens, and rank 0 went down to 1.35 GB of available memory at the end of a four-session 204K fill. - At 0.92, a Spark sharing the host with other services went down to 3.1 GB of @@ -36,8 +39,10 @@ What to know before relying on SparkGLM. only on Sparks that run nothing else. - Under real mixed traffic at 0.93, rank 0 dropped below our 1 GiB memory guard about hourly (2026-10-02 to 10-04), so our production setting is now 0.91. - At 0.91 the pool is about 1.13M tokens, or about 1.38M with - `DISPLAY_CARVEOUT=1`, which adds KV without using system memory. The GPU + At 0.91 the unsplit pool is about 1.13M tokens, or about 1.38M with + `DISPLAY_CARVEOUT=1`, which adds KV without using system memory. With the + KV shard, the carveout and the disk prefix cache (our production setup), + a four-session 204K fill left rank 0 at 4.8 GB free at worst. The GPU does not cache the carveout in L2, so only the latent KV pools go there; a cacheable mapping that could also take the index buffers is tracked in [#32](https://github.com/Enntity/sparkglm/issues/32). diff --git a/docs/REPRODUCE.md b/docs/REPRODUCE.md index 64d474f..4ab84bf 100644 --- a/docs/REPRODUCE.md +++ b/docs/REPRODUCE.md @@ -4,14 +4,15 @@ Run the drivers in [`bench/`](../bench/) on rank 0 against the running engine. Run one workload at a time, with nothing else using the pair. They need only Python 3; the comparison videos also need Pillow and ffmpeg. -The published numbers and their raw receipts are in -[`results/2026-09-29-atlas-merged/`](../results/2026-09-29-atlas-merged/RESULT.md). +The current release's numbers and raw receipts are in +[`results/2026-10-09-rc2/`](../results/2026-10-09-rc2/RESULT.md); earlier +releases' are in the other folders under [`results/`](../results/). -## Default profile (4 × 512K) +## Default profile (4 × 1M) ```sh cd bench -# Matrix, three passes. Compare the sum of the five summary walls to 154.8 s. +# Matrix, three passes. Compare the sum of the five summary walls to 136.3 s. for p in 1 2 3; do MATRIX_SALT=mb-vx2-7c31 python3 run_matrix.py out-matrix-$p matrix; done # Staggered C4 field guide: a discarded warmup plus three runs. Use a fresh salt. MATRIX_SALT=fg-$(date +%s) python3 run_matrix.py out-field field