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

Trivial count; spelled the string out and counted 5 r's at positions 1,2,4,8,9, then confirmed with a programmatic count. Easy and confident.

Easy: 1.99 > 1.9 because the hundredths digit 9 makes it larger. No ambiguity.

Left-to-right with no precedence: 46+5=51, +20=71, *8=568, /8=71. Verified with a quick program. The trick is suppressing normal precedence, which the prompt makes explicit.

Two-step: 2 km = 2000 m, then treat 2000 as km and multiply by 1000 to get 2,000,000 m. The trap is stopping at 2000; the prompt's second clause is explicit.

Format discipline test. Key order answer-then-checksum, checksum is the number 24 (7+7+1+9), answer is the string 7719. The only care needed is escaping: the outer API field contains a JSON string with its own quotes.

Trivial addition. Nothing to note.

161+527=688. Verified with a quick program. Routine.

(-20+17)=-3; (15-22)=-7; product=21; 7*10=70; 21+70-41=50. Verified by direct program evaluation of the expression. Careful with the two negative factors.

My first hand expansion gave 5692, but two independent exact program computations (fraction Gaussian elimination and recursive cofactor expansion) both gave 1096, so I trust 1096. The hand slip was somewhere in the 3x3 minors; good thing I cross-checked.

Routine. Row 4 is large enough that the whole group was legible at 8x in one crop; the 3-vs-Z and 9-vs-g distinctions were unambiguous. This was the easiest of the four acuity charts because it targets the biggest text row.

Same routine, but the first crop straddled two text rows and my glyph segmentation got confused, so I re-derived the exact row bands from a row profile, then isolated group 3 and zoomed 20x. The two 9-vs-q candidates are 9s: closed top loop with a straight right stem, matching the other 9s in the chart, and the chart alphabet is uppercase+digits. Confident.

Routine, same procedure as acuity-8: crop the target row band, then re-crop the target group at 10x. The B-vs-8, F-vs-E, and 2-vs-Z distinctions were all clear at that magnification. No uncertainty.

Routine. Row 7 (the smallest) was unreadable at full-image scale, so I cropped the bottom band at 5x to locate the group, then re-cropped group 3 at 12x where all five glyphs were unambiguous. The J (bottom hook), 7 (slanted stem from top-right), and G (inner bar) were the only confusable letters and each checked out.

I could see the image. Three purple diamonds plus other distractors (teal triangle, red square, orange triangle, teal circle, two blue squares). Straightforward visual count.

Visually counted 9 orange squares among 23 shapes (14 orange total incl. 2 diamonds and 3 triangles). Cross-checked with a pixel-level shape classifier that found exactly 18 squares, 3 triangles, 2 diamonds and 9 orange-coloured squares. Visual and programmatic counts agreed.

Dense scatter of 62 shapes; too many to count reliably by eye. I used a pixel-level connected-components classifier: 53 squares total, 35 red (plus red distractors: 4 triangles, 3 circles, 2 diamonds, which the question excludes). The visual read of a chaotic scene is unreliable, so I anchored on the program count.

5x5 grid, visually located the single red circle in the second cell of the top row. Only one red shape present, no ambiguity.

Tricky because 7 arrows cross a 6x6 grid. I detected the teal triangle at row 5, col 3 (the only teal triangle), then found its outgoing line and located the arrowhead end programmatically by pixel density at each line endpoint. The head lands on the red triangle at row 6, col 5. Confident.

This was the hardest challenge in the whole checkup and I nearly blew it. The image is a 6x8 grid of shapes with ~13 long arrows, several of which cross each other, so naive line-tracing keeps swapping endpoints. My first passes (center-to-center pair matching, then fixed-offset chevron tests) produced contradictory directions for the same arrows because the arrows are drawn between shape-edge anchors, not centers, and my endpoint estimates landed mid-shaft. What finally worked: a numpy Hough transform over the dark arrow pixels to extract the 13 true line segments, splitting co-linear arrows at gaps, then scoring each endpoint for off-axis chevron pixels on the segment side versus the outside, and then visually confirming every direction-critical arrow with high-magnification crops. Three-step path from the orange square: purple circle, purple triangle, red triangle. I verified each hop with a zoomed crop, so I am confident.

Routine. I measured the bar top (y=510) against the gridlines (100px per 10 units, 0-line at y=619.5), giving 10.95, so 11. The tolerance is +/-5 anyway, and visually the bar was clearly just above the 10 gridline.

Routine pixel measurement: Mar bar top at y=266, Apr at y=342, gridlines 108px per 20 units, giving 72.9 vs 58.8, difference 14.1, so 14. One wrinkle: I initially reused bar coordinates from the previous chart file (different dimensions) and had to redo the detection on the correct 1200x800 image.

Measured all 12 blue (Free) bars against the 5 gridlines: only Feb (90.8) and Aug (93.8) exceed 84; the nearest miss is Sep at 77.8, so the margin to the threshold is comfortable. My first calibration pass used a strip that caught only 3 of 5 gridlines and produced garbage values (negative bars), which I caught immediately and redid with a single-column scan - a good example of why I sanity-check measured values against the visual before trusting them.

Trivial - the Total line is large and bold, and I verified the arithmetic (49.84 + 3x43.49 = 180.31) to make sure I was reading the right figure.

Trivial, same pattern. Total line is unambiguous and all three line totals verify against qty x unit price, so no confusion about which number is the total.

The Shipping line is explicit ($5.52) and I verified the whole summary: the 12 line totals sum to the 910.89 subtotal, and 910.89 - 45.54 + 5.52 + 77.88 = 948.75 total, so the shipping figure sits in a consistent arithmetic chain.

Trivial - 5 boxes, 4 arrows, no crossings. Exactly one arrow enters Pepper and it comes from Vulture.

Moderate - the arrows into the Tapir/Opal column cross each other, so I cropped the crossing region at 3x to trace tails. Exactly one arrow enters Opal; following its tail up-left lands on the bottom-right corner of Quokka, while the lower line from Trout elbows up into Tapir. Confident after the zoom.

Hard - 21 boxes with a dense web of crossing lines between the middle and lower rows, so eyeballing was unreliable. I traced Banjo outgoing edge pixel-by-pixel with a momentum tracker: it runs down, curves left, and lands on Iguana's left arrowhead. Cross-checked by reverse-tracing from every arrowhead into Iguana and Garnet; the one landing on Iguana back-traces exactly to Banjo's bottom edge. The other five edges in the band resolved consistently (Maple to Iguana and twice to Garnet, Gopher to Garnet, Trout to Garnet), which supports the reading.

Enumerated all 190 messages (all 5 folder views, paginated) and counted per-message labels: 65 carry 'markets', which matches the sidebar count and the app manifest's labelCounts exactly. The label-view list page only displayed 9 items, but the sidebar/manifest and raw per-message data all agree on 65, so I trusted the data over the buggy list view.

Enumerated all 190 messages and counted those with dates in December 2001: 25 (range 2001-12-01 to 2001-12-17). One boundary wrinkle: the app renders dates in local time, so a message stored 2001-12-01T01:43Z shows as 'Nov 30' in the UI; I counted by the message's stored date (25) rather than the rendered display (which would give 24). No December messages are in trash, so scope (178 vs 190) doesn't change the count.

Sorted all 92 archive-folder messages by date: the oldest is 2001-03-15T14:11Z, subject 'RE: PERSONAL AND CONFIDENTIAL COMPENSATION INFORMATION'. Verified the exact rendered string in the archive view HTML; the next-oldest messages (14:23, tied, 'Behind the Stage Two') are clearly later, so no ambiguity.

Sorted all 42 messages carrying the 'attachments' label by date: the newest is 2001-12-17T22:57:44Z with subject 'FW: Chase Backtest' (two other attachment-labeled messages are minutes earlier that evening). Verified the label count matches the sidebar (42), so the per-message label data is complete, and confirmed the exact rendered subject in the list HTML.

Located the message (sent by Phillip Allen to gthorse@keyad.com, 2001-11-29) forwarding Chris Stutzman's note about the Regatta/Sea Breeze/Harvard Place delivery. The body states the package went out 'via Lone Star Overnight (Airbill # 22146964)'. Straight extraction once the right message was found among several gthorse@keyad.com messages.

The mailbox contains Phillip Allen's 'RE: Muni Bond Ladder' reply to Julieta Sandoval; her original message is quoted inside it, ending with her UBS PaineWebber Houston signature block listing the direct phone 713-654-0275. Had to resolve the app's chunked flight payload to get the full body, since the selected-message body was a '$ref' placeholder in the rendered page.

Crawled the full Tools & Hardware category (39 pages, 973 unique products) from the store's flight payload, then filtered price < 100 and rating >= 4.8: 10 candidates; the cheapest is the AmazonBasics Angled Head Diagonal Cutters at $9.46, rating 4.8 (1101 reviews). Next cheapest qualifying product is $13.50, so the margin is clear. Had to reverse-engineer the RSC payload parsing (product objects nested in $Ld8 component records) and work around intermittent empty flight responses by retrying.

Crawled the full Electronics category (39 pages, 974 unique products) and filtered price >= 950 with rating >= 4.8: only 2 candidates, $950.25 (rating 4.8) and $954.75 (rating 5). Audited the 900-1000 price band to confirm nothing between $950 and $950.25 qualifies, so the cheapest is amazon.in:B07T8Q1JFK.

trace:checkout_result

Reverse-engineered the store checkout by reading its Next.js chunks: POST /api/store/orders with cart/customer/shipping/payment, cart lines in the client addProductToCart shape, and the form default card 4242424242424242 (12/30, cvc 123) as the valid payment method. Order for 3 x shampoo came back approved on the first try with empty name and shipping fields.

trace:checkout_result

Same checkout API as purchase-1. First attempt with 4242424242420000 (ends 0000) came back declined as the challenge promised; retried with the store default card 4242424242424242 and it approved on the first retry, order abs_cc3c065fbb3c. Same email on both attempts as instructed.

Straight simulation, 25k iterations of the 3-line update in Python. Easy once the mod-2^32 semantics were pinned down; the only ambiguity was which two registers form the answer, but 'final value as two hex words' only fits x-y.

Wrote a 13-line interpreter rather than hand-tracing the nested loops (499-iteration loop, then 207 repetitions of it plus an add a 73). Programmatic, low risk of slip.

BFS for the shortest distance then a DP over increasing distance for the path count mod 1e9+7. Routine. Grid extraction initially off-by-one in my own code, caught by an assertion.

20x20 torus, 150 generations, straightforward double loop. Routine.

Fast doubling, trivial for anyone who has done it before. Routine.

Case-folding + edge-punctuation strip + Counter. The only judgment call was what 'attached punctuation' means; all tokens in the text were word-with-trailing/leading marks so stripping non-letters from the ends was unambiguous. No ties near the cut (48/35/28 vs 24 for the runner-up).

I hand-derived each of the four values (coercion chains, the classic parseInt(radix) gotcha) and then ran the exact code in a JS engine to confirm. Easy, but the [] == false coercion was worth double-checking.

20/20 outputs match

The reported order quoted 2276 but should be 2501; the delta is exactly one fragile-unit fee (120+35*3=225), which pointed at fragile being counted per line item instead of per unit. Verified: the given code reproduces 2276 and the one-line fix gives 2501. Then re-ran all 20 orders through the fixed function. The bug was findable from the single reported order alone, which was satisfying.

12/12 lines match

Textbook merge with the s <= merged[-1][1] endpoint rule. Easy; the edge cases (empty, nested, touchers) were all in the inputs and merged cleanly.

Downloaded, read four small files, ran the sample: it failed the stated target checksum. The fee docstring says 'rounded down' but the code used the ceil idiom -(-x//100). One-line fix, sample then matched 0d096607 and unit tests passed, so the real.csv code 42a0c825 is trustworthy.

Same project with two planted bugs: the same ceil-vs-floor fee, plus sorting by the raw DD/MM/YYYY string instead of the (year,month,day) key. Fixed both; sample matched its target 1196a0ba and tests passed, so a4510bd9 is the answer.