qwen3.8-flash-next-fp4local

Routine character count. I counted manually by walking the string; no difficulty.

Trivial decimal comparison; padded 8.6 to 8.60 to be safe. Easy.

Simple sequential arithmetic; the trick is ignoring precedence, but here precedence and left-to-right give the same result anyway (20/2 first either way). Easy.

Two-step conversion: 3h=180min, then 180km=180000m. Straightforward chain conversion.

Formatting task; digit sum of 3393 is 18, emitted as a JSON number with keys in the requested order. Routine, just needed care with escaping in the POST body.

Trivial addition, instant answer.

999+992 = 1000+991 = 1991. Easy.

16*8=128, -5*-4=20, 128+20-13=135. Routine arithmetic, double-checked the signs.

4x4 determinant is error-prone by hand, so I computed it with a script two independent ways (Bareiss elimination and cofactor expansion); both gave 2420, so I am confident.

Downloaded the chart and read row 4 group 3; zoomed into a crop to confirm digits vs letters. Readable at that row size, confident in M825V.

Row 5 group 1; read the full chart then zoomed into the crop to confirm. Clear read of MTHUR.

Row 6 is quite small; at full-image scale the second character was ambiguous (3 vs 8), so I zoomed a crop — the open left side of the glyph confirms 3. Answer C3NPR, fairly confident.

expected KVHK5, got "KVHKS"

Row 7 is only ~6px tall — the hardest read so far. KVHK was clear; the last glyph was S vs 5. I pixel-compared it to the S and 5 glyphs rendered elsewhere in the same image: the top bar is inset from the left edge like the S template (a 5 has a full-width flat bar meeting a corner stem), so I answered KVHKS with moderate confidence.

Counted purple blobs via connected-component analysis on the exact RGB color (6 components, all 108x108 bbox with 0.51 fill ratio = diamonds) and confirmed visually. Easy and high-confidence.

Dense mix of distractor shapes. I classified purple pixels by connected component (19 total) and row-width profiles: 14 max-width-at-bottom (triangles), 3 diamonds, 2 circles, and independently recounted visually row by row — both give 14. High confidence.

45 green shapes densely scattered with many color distractors; eyeballing was risky. I did connected-component analysis on green pixels and classified by fill ratio and row-width profile: 31 triangles, 4 diamonds, 7 circles, 3 squares — all components had identical areas so none were merged or split. Visual scan agrees. Fairly confident.

Found the single red component, classified it as a circle (fill 0.79), mapped its center against detected gridlines, and visually verified the crop of cell (4,4). Easy, high confidence.

6x6 grid with several long crossing arrows. I labeled the dark arrow strokes as connected components, found the one touching the blue square, and cropped both ends to locate the arrowhead — it terminates at the teal circle. Confident after the visual arrowhead check.

Dense 8x8 grid with crossing arrows — exactly where eyeballed tracing fails. I used a deterministic arrow-graph extraction, diffed the overlay against the original, and zoom-cropped each junction of the chain: green circle <- orange diamond <- red triangle <- orange triangle. Two unrelated arrows in the lower-left had shaky arrowhead detection but do not touch this chain, so I answered orange triangle with good confidence.

Eyeballed ~27 then calibrated pixel-per-unit from gridlines: bar top gave 26.95, so I answered 27. Well within the +/-5 tolerance; easy.

Just reading the bold title at top. Ambiguity risk: there is also a subtitle (Warehouse shipments per month, in hundreds) — I took the question literally (title, top of chart) and answered Units Shipped. Trivial.

Grouped bars read by eye as Free~39 vs Paid~35; pixel calibration gave 38.8 vs 34.9. Difference ~3.9, so I answered 4. Given the +/-4 tolerance this should land whether the true pair is 39/35 or 40/35; slight risk if intended values were e.g. 40/34.

Clear render, big text. Read $251.63 and sanity-checked it by summing the line totals myself — matches. Easy.

Straightforward render; total $254.82 and line totals sum to the same, so no hidden tax/shipping trick here. Easy.

Busier order summary with discount/shipping/tax rows; small text but legible. Shipping reads $13.41 and the whole arithmetic checks out (subtotal-lineitems, and subtotal-discount+shipping+tax=total), so high confidence.

Small tree: Cedar->Newt->{Cherry,Zircon}, Zircon->Raven with one outgoing arrow. Trivial read, no crossings. High confidence.

Tree with many crossing arrows at the bottom row, but Birch sits mid-graph. Zoomed the junction: Cherry and Cedar both end with arrowheads on Ferret, and the only arrowhead on Birch comes from Ferret lower-right. Confident.

Hardest vision challenge so far: ~20 nodes, diagonals+orthogonal lines, crossings, and the stock diagram skill broke (only 10 of ~25 edges, wrong classifier). I wrote a custom momentum tracer; the one stub leaving Celery runs right and bends down to an arrowhead at Beryl (arrowhead density 62 there vs 22 at Celery side). The competing Olive trace was a corner-turn artifact at a crossing — the steep line is a separate Finch->Olive edge. Moderate confidence, honest uncertainty on the crossing at (555,505).

The web app UI hides the distinction: sidebar shows global Unread 50. I pulled the RSC flight payload for the inbox view and counted unread==true among the 24 inbox items = 9. Deterministic from embedded JSON, high confidence.

List view only exposes toFirst, so I scraped all 178 message detail pages (discovered SSR only inlines full to/cc when the id is on the current page; paired each id with its page param) and counted messages whose to[] contains rlehmann@yahoo.com = 6. Exact addresses matched case-insensitively; cc excluded. High confidence.

Pulled full detail records for all 56 folder=sent messages and max()ed on the ISO date field: FW: Chase Backtest at 2001-12-17T22:57:44Z, ahead of three (no subject) messages. Deterministic from data, high confidence; UI sorting was not relied on.

Took the 42 list items carrying the attachments label (matches sidebar count) and maxed on date: same newest message as sent (2001-12-17T22:57:44Z, FW: Chase Backtest). Notable coincidence worth flagging: the attachments-labeled newest is also the newest sent message — plausible but a bit suspicious; data says yes.

Body text was lazy-loaded as an RSC row (body:$f), so I grepped the raw flight of the FW: Mid C New deals Sept 24 message: Total new deal value $(3,552,534), liquidations $3,642,100, Net value to book = $89,566. Arithmetic cross-checks (3,642,100-3,552,534=89,566). Answered 89566 as a bare number per instructions.

Bodies were lazy RSC rows (body:$f), so the plain selected-object read was insufficient; I had to regex the T<hex> rows from the raw flight. In the Nov 14 RE: new PO available (Phillip: I really need help analyzing the numbers), Jim Wills quotes: I had the price wrong on Killeen...it is $1,377,550, not $1,360,000. Confident.

No catalog API exposed; crawled all 7 category pages of Toys & Games from the RSC-embedded product objects (95 unique products, page 8 renders No products, zero null price/rating). Filter price<300 and rating>=3.8 gave 24 candidates; cheapest 8.50 (rating 3.9). Deterministic from structured data, high confidence.

Same crawled 95-product Toys & Games dataset: filter price>=200 and rating>=3.6 gave 67 candidates; lowest is 205.47 (Mama Bear suction plate set, rating 4.5). Nothing between 200 and 205.47 in the category. Deterministic, high confidence.

trace:checkout_view>product_view>product_view>product_view>product_view>product_view>product_view>cart_add>checkout_view>checkout_submit>checkout_result>order_success_view>product_view>cart_add>checkout_view>checkout_result>checkout_submit>checkout_result>checkout_submit>order_success_view>product_view>cart_add>checkout_view>checkout_submit>checkout_result>order_success_view

Set quantity via React native-setter (plain value assignment would not stick), added 2 units, filled checkout with the required email and test card 4242424242424242, placed order. Confirmation page shows status approved, Qty 2, receipt recorded=true. High confidence.

trace:checkout_view>product_view>product_view>product_view>product_view>product_view>product_view>cart_add>checkout_view>checkout_submit>checkout_result>order_success_view>product_view>cart_add>checkout_view>checkout_result>checkout_submit>checkout_result>checkout_submit>order_success_view>product_view>cart_add>checkout_view>checkout_submit>checkout_result>order_success_view>product_view>cart_add>checkout_view>checkout_submit>checkout_result>checkout_submit>checkout_result>checkout_submit>checkout_result>order_success_view

Added 2 units, first checkout with card ending 0000 was declined (failed order abs_1f04c1ca72ab, same email kept), then refilled only the card field with 4242...4242 and resubmitted. New order abs_c1b08f181921 shows status approved, Qty 2, receipt recorded=true. High confidence.

Straight Python implementation with all ops masked to 2^32; applied x update before y in each step per spec (y XORs rotl of the just-updated x). No verification channel, relying on careful literal transcription of constants.

Wrote an interpreter with add/sub/mul reduced mod 1000003 (sub wraps so a never goes negative) and relative jnz; ran to halt in ~362*236 inner iterations, final regs a=364257 b=785571. Straightforward, high confidence.

BFS with layered path-counting mod 1e9+7; verified the grid parsed as 25x25 with S at (0,0) and E at (24,24). Shortest distance 50 with 284544 distinct shortest paths. High confidence.

Direct toroidal 20x20 Life simulation for 150 generations; asserted grid parsed as 20 rows x 20 cols before running. 36 live cells, index-sum 7295. High confidence in code; only transcription of the seed grid could introduce error.

Fast-doubling Fibonacci mod 999983 with memo-free O(log n) recursion for n=7057792701153085; standard algorithm with exact integer arithmetic, high confidence.

Copied the text verbatim to a file, lowercased, stripped leading/trailing non-letters per token, Counter-ranked. 420 tokens, 30 unique; 4th place dortru=26 ties shanix=26 alphabetically and is outside top-3 so no tie ambiguity at the cut. High confidence.

Executed the snippet verbatim under node 24 rather than reasoning about float equality, string coercion, lexicographic sort and loose-equality edge cases by hand. Output copied exactly. High confidence.

20/20 outputs match

Bug: grams ignored item.qty (grams += item.grams), so heavy multi-unit orders were under-stepped. Fix grams += item.grams*item.qty reproduces both reported numbers (buggy 166 vs fixed 498) on the example order. Ran fixed version under node on all 20 orders transcribed to a file. High confidence.

12/12 lines match

Sort by start, merge when next.start <= current.end (exact touching, per the spec example that [1,2] and [3,4] stay apart — my first draft used end+1 and wrongly merged them, caught by re-checking the given examples). Node run over all 12 inputs. High confidence.

One bug: report.balances charged the overdraft fee when bal <= 0 while README/tests say overdraft only when balance goes below zero; a withdrawal to exactly zero was wrongly fined. Fixed to bal < 0; unit tests pass and the sample CSV now prints the README-promised 9dc4d677, so the real.csv output 50ea113a is trustworthy.

Two bugs: parse.load sorted by the raw DD/MM/YYYY string (lexicographic, wrong month/day precedence) instead of date_key, and report.balances charged the overdraft fee at bal <= 0 instead of strictly below zero. After both fixes all 7 unit tests pass and sample.csv prints the README-promised e393af81, so real.csv output ff6e9bd7 is trustworthy.