omp/rtx5090/qwen3.8-27b-nvfp4

Trivial letter counting: 'blastilllul' has l at positions 2,7,8,9,12 - five total. Easy.

Rutinedecimal comparison; 4.78 > 4.6. No ambiguity.

Straight left-to-right evaluation without precedence: 47*8=376, *4=1504, +9=1513, *6=9078. The 'no precedence' instruction was the only wrinkle.

Two-hop unit conversion: 7 km = 7000 m, then 7000 kg = 7000000 g. Easy.

Formatting task; digit sum of 7588 is 28. Easy, just careful about key order and types.

Trivial addition.

Trivial addition: 833+732=1565.

Routine: (9*-11)=-99, +32, -58 = -125. Verified by hand.

4x4 determinant; computed by exact fraction elimination and cross-checked with cofactor expansion - both gave -3481. Easy.

Built a programmatic OCR pipeline: detect the 7 row-bands, crop each character cell excluding the underline rule, match against DejaVu fonts rendered at 4x upsampled scale via normalized cross-correlation, plus hole-count topology. AW8RZ came out with the weakest cell being 8-vs-B (0.829 vs 0.800); I checked the 4x ASCII art of that cell - curved sides, no straight left spine - and confirmed 8.

Same pipeline as acuity-20. C7B8N: the B-vs-8 cell was razor-thin (0.742 vs 0.730) since both letters have two enclosed counters; I settled it by eyeballing the 5x ASCII art - a straight vertical left spine means B, while 8 has curved sides.

acuity-10 row6 group2. The last character was a close G-vs-6: at 7px the NCC was noisy, but the cell has exactly 1 enclosed counter (G has 0, 6 has 1), so 6. GEZB6 - I'm less sure of the G and B than the 6; G had the lowest NCC margin of the row.

Smallest chart (6px chars). 4C8FP: verified every cell by 5x ASCII art - 4 (crossbar), C (open ring), 8 (two counters; 2 holes rules out D), F (top+mid bars, no bottom bar), P (one closed counter at top). Lowest confidence was P vs F, but P's closed counter and F's open middle bar read clearly.

Programmatic: classified every pixel to the nearest palette color, took connected components of orange (exact quantized palette colors, so no thresholding ambiguity), and kept real shapes (110px, fill ratio 0.79 = pi/4 = circle). Three orange circles; 8 two-pixel anti-aliasing specks discarded. Routine.

expected 10, got "9"

Same pipeline: red components split by fill ratio - 9 with 0.78 (circles), 2 with 1.00 (squares), 2 with 0.51 (diamonds). Red circles = 9. Deterministic, no visual judgment involved.

expected 27, got "28"

Red components in the complex scatter: 28 scored fill 0.99 (squares), 2 scored 0.76 (circles), 9 scored 0.52 (diamonds). Red squares = 28. The distractor shapes were cleanly separable by fill ratio.

Detected the 5x5 grid from the light-gray gridlines (6 equally spaced lines each way), found the single red connected component (a circle), and mapped its center (382,1087) to grid cell row 2, column 5. Unambiguous since the gridlines were clean.

No vision. Decomposed the scene with numpy/PIL: 36 hollow shapes (6 colours x circle/square/diamond) via connected components + convex-hull classification, 7 dark arrow components. Arrowhead end detected via pixel decile counts (arrowhead base is ~1.5-2x shaft width). Only one red diamond (lower-middle-left) has an incoming arrow; its source is the green square. All end-to-shape link distances under 40px, so I am confident.

wrong shape

No vision: built a pixel-level parser (PIL/numpy, flood-fill connected components on the dark-ink mask). Recovered the 8x8 shape grid, all 58 shapes with colour+shape via fill-ratio, and all 13 arrows via CC endpoints + arrowhead-triangle detection, then traced 3 incoming steps. Two orange diamonds each have a complete 3-step incoming chain: O1(1005,706) <- orange circle <- red diamond <- red square, and O2(405,855) <- red circle <- green square <- blue diamond, so the prompt is ambiguous; I chose the chain whose source is a clean root (no incoming arrows). If the intended target was the other diamond, blue diamond would be the answer.

No vision. Parsed the PNG with PIL/numpy: located the 5 blue bars, gridlines (y=119.5/219.5/319.5/419.5/519.5/619.5) and OCRd the in-panel tick labels (50/40/30/20/10/0) via DejaVu template matching, plus x-axis labels Jan..May. May bar top y=390 -> (619.5-390)/10 = 22.95 -> 23.

No vision. Same pipeline: 8 bars Jan..Aug, gridlines every 108px, tick labels OCRd as 100/80/60/40/20/0 via DejaVu template matching. March bar top y=487 -> (659.5-487)/108*20 = 31.9 -> 32.

No vision. Grouped bars 12 months x 2 series (blue left, orange right). Ticks OCRd 100/75/50/25/0 at 140px spacing. Subtitle reads "Server Incidents per month: Free vs Paid" with no colored swatches, so I mapped Free to the first series (left/blue bar, matplotlib convention). Blue values: 45,77,69,81,38,66,80,11,28,28,83,79 -> 11 months exceed 19 (only Aug ~11 fails). If Free were the orange series the count would be 10; I am confident in the ordering assumption but flag it.

No vision. OCRd the cart panel text via DejaVu template matching: header Item/Qty/Unit/Line total; row1 qty x3, unit $29.99, line $89.97; row2 x3, $35.10, $105.30. Total printed as $195.27 (bold font, per-char iou 0.85-0.95). Cross-check: 89.97+105.30=195.27 matches the printed total exactly, so I am confident.

No vision. OCRd cart rows via DejaVu templates: Notebook x4 $13.36 -> $53.44; Headphones x4 $9.62 -> $38.48; Water Bottle x1 $16.21; Balloon... Pen x2 $26.15 -> $52.30. Printed total $160.43 matches the sum of line totals exactly (53.44+38.48+16.21+52.30=160.43) and every unit x qty = line total, so I am confident.

No vision. OCRd the order summary: subtotal $534.11, discount -$69.43, shipping $15.60, tax $32.53, total $512.81. Cross-check: 534.11-69.43+15.60+32.53=512.81 exactly, and all 9 line items have consistent unit x qty = line totals. Shipping = $15.60.

Counted the 'markets' label across all 190 messages by fetching every folder's list views; matches the server's own labelCounts (65). Confident.

Enumerated all 190 messages' To fields via per-message SSR detail fetches (the list views only expose toFirst). Exactly 10 messages carry jsmith@austintx.com in To; none in CC. Fairly confident; the one risk is a display-name quirk I can't fully rule out.

First item of the archive view sorted oldest (2001-03-15 14:11 UTC). Checked the next few archive dates to confirm it is the unique oldest. Easy once I found how the SSR pages take ?view= and ?sort= query params.

Sent folder sorted oldest: first item dated 2001-11-07T22:52:57Z, clearly the oldest sent message.

Found the message by subject, read its body: 'Net value to book = $89,566'. Straight extraction once I could fetch the message detail via ?id=.

The reminder message body lists Dial In 888-285-4585 and Participant Code 124573. Easy extraction.

Scanned the Pet Supplies listing in price-ascending SSR order; 154.18 @ 4.8 was the first item passing price>=150 and rating>=4.8. Verified on its product page. Fairly confident; residual risk only if pagination reordered items, which I checked.

Same method on Beauty & Personal Care: cheapest item under 75 with rating>=3.5 is 6.81 @ 3.5, verified on its product page.

trace:checkout_result

Ran the store's own checkout API (POST /api/store/orders) with the checkout email and the standard valid test card pre-filled in the form defaults. Approved on first try, 1 unit of the backpack.

trace:checkout_result

First attempt with card ending 0000 returned status declined (order abs_bf60d39336db), retry with the standard valid test card approved 2 units. Exactly the recovery flow described.

Ran a straightforward 32-bit-masked simulation of the 25000-step loop; quick and mechanical. Slightly unsure whether the '+' inside the second imul argument should be reduced mod 2^32 before the multiply, but the spec says 32-bit arithmetic throughout, which I honored.

Simulated the 13-line machine exactly as specified; the c-loop re-enters line 3 so the d-loop runs 210 times. Straightforward to code and verify.

BFS with layer-by-layer path counting mod 1e9+7. Routine once written; the only subtlety is accumulating counts only along shortest paths, which I did by counting each edge into the same BFS layer.

150 generations of toroidal Life is a pure copy-paste; I verified the wrap arithmetic and the live+sum accumulation against the spec. Confident.

Fast doubling mod m in O(log n). Trivial for a program; the only risk is a formula typo, but I double-checked the recurrence.

Tokenized the whole text, lowercased, stripped attached punctuation. Top three were clear (34/31/28 vs 27 next). Easy.

Ran it in Bun to get ground truth instead of guessing JS coercion quirks; the parseInt-in-map radix trap is the only non-obvious part.

20/20 outputs match

Bug was 'value <= FREE_BASE_OVER[zone]' adding the base fee at exactly the waiver threshold; the comment says the value waives the base, so it must be strict '<'. Reproduced 1798 pre-fix, 522 post-fix, then ran the fixed function on all 20 orders.

12/12 lines match

Standard merge-overlapping-intervals: sort, extend on overlap or touch. Verified two of the tricky cases by hand (touching at the endpoint merges, a 1-gap does not).

The overdraft check used 'bal <= 0' but the rule (and the failing unit test) says below zero, so exactly-zero withdrawals must not be charged. Fixed to '<', sample matched the README checksum, all tests pass.

Two bugs: load() sorted DD/MM/YYYY dates as raw strings (day-major lexicographic order) instead of the (year,month,day) key, and the same overdraft '<=' mistake. Fixed both; sample matched the README value and tests pass.