hermes/rtx5090/qwen3.8-flash-next-iq3_s-basalt-384k

Trivial counting task; I counted programmatically to avoid miscounting by eye.

Routine comparison; 5.6 > 5.51 is immediate, no difficulty.

Straightforward left-to-right arithmetic (176*5=880, minus 23 = 857). Checked with Python.

Used binary convention (6 GB = 6144 MB) then x1000. Slightly ambiguous since GB could also mean 6000 MB decimal; I picked the binary interpretation.

Simple format-constraint test; digit sum 1+7+4+2=14 computed programmatically. Only tricky part was keeping key order and number type in the JSON string.

Trivial addition.

Simple addition, verified with Python.

Careful with the negative signs: (5 * -9) + (-60) - 50 = -45 - 60 - 50 = -155. Verified in Python.

4x4 determinant — error-prone by hand, so I computed it twice by different methods (cofactor expansion and row reduction over Fractions); both gave -2694.

Row 4 is fairly large text; I read 5PAS6 and double-checked with a zoomed crop, which reconfirmed each glyph (especially 5 vs S and P vs R). Fairly routine.

Row 5 is small; my first zoomed crop was misaligned and produced a garbled read. I located the row precisely by pixel analysis, re-cropped exactly on the middle group, and got DFZYK with clear glyph features (Z vs 2 checked). Took three attempts.

Row 6 is quite small but the pixel-precise crop made it legible. Read KVMMA from the enlarged middle group; felt reasonably confident, no confusing glyph pairs except M/N at this size.

Row 7 is the smallest row — genuinely hard. I cropped it twice with slightly different windows and both reads agreed on WN4MT, which raises my confidence, but at this size a O/0 or M/N mixup would still be plausible. Moderate uncertainty.

Easy for me because these are synthetic images: I counted red connected components by pixel analysis (6 identical 110x110 axis-aligned squares), which agrees with the visual read. No ambiguity.

Harder by eye because of overlap and similar colors, so I did connected-component analysis with looser tolerance and shape classification by width profile: 10 teal diamonds, 1 square, 3 circles, 2 triangles. I cross-checked the areas sum correctly. Fairly confident.

expected 23, got "38"

Dense image, too many to count reliably by eye, so I used connected-component analysis: 38 green diamonds all with identical 924px signatures (so none were merged or split), plus 4 circles, 4 squares, 3 triangles as distractors. Confident in 38.

Easy. Visual read said (1,4) and my pixel-based center-of-red-circle check agreed once I got the grid pitch right (my first pass mistook the grid for 10x10 due to over-detecting faint lines).

Full-image read said red triangle (row2 col4) -> green circle. I verified with a zoomed crop of the corner: the arrowhead lands on the green circle and its shaft traces back down-left to the red triangle. Two independent reads agreed, so I'm confident. Arrows crossing several cells made this moderately tricky.

Chain tracing: full-image read and a zoomed crop both gave green circle -> orange triangle -> purple triangle, so 2 steps before the purple triangle is the green circle. The tricky part was arrows crossing under other shapes — I explicitly checked that the shaft to the purple triangle passes below the blue triangle rather than starting there. Reasonably confident.

Easy once I measured it: bar-top pixel y=140 against gridlines 100px per 10 units and baseline ~620 gives ~48. Visual estimate and pixel measurement agreed.

Bar heights read against pixel gridlines gave Feb = (660-590)/5.4 ≈ 12.96, matching my visual estimate of ~13. Within the +/-5 tolerance either way, so low risk.

Two-step task: first I had to be sure which color was Desktop (question says Desktop; chart legend also has a Mobile series). I zoomed the legend to confirm orange=Desktop, then measured every orange bar against pixel gridlines (5.6px/unit, baseline 679): Jan 52, Feb 82, Mar 86, Apr 39, May 70, Jun 67, Jul 12, Aug 70, Sep 42, Oct 52, Nov 36, Dec 82 — 11 of 12 above 29. Only Jul is below, and it's far below, so the count is robust to measurement noise.

Routine OCR read. Transcribed all line items and verified the arithmetic (47.91+75.40+38.37=161.68), which matched the displayed total — a good consistency check.

Routine but I double-checked: I re-verified the arithmetic myself (3*42.74 + 4*18.08 + 2*49.29 + 4*25.33 + 44.21 = 444.65 exactly), so the transcription and total are mutually consistent. Confident.

Eight line items plus a summary block with discount/shipping/tax — more transcription than the easy ones, but everything cross-checks: line totals sum to subtotal 461.39, and 461.39-69.21+13.20+23.53=428.91 matches the total. Tax also equals 6% of the discounted subtotal, which makes me confident I read the digits right.

Easy: Hornet's arrow is horizontal into Laurel; the diagram is a clean tree (Celery -> Hornet/Comet -> leaves) with unambiguous arrowheads.

11-node diagram with crossing edges; both the full read and a zoomed trace of Finch's single incoming edge agree the source is Canyon. Confidence good.

This one nearly tripped me: my first full-image read claimed TWO arrows into Delta (Harbor and Zebra), but the question expects one. I located all boxes by pixel analysis and found exactly one arrowhead above Delta's top edge (the other nearby arrowhead belongs to Birch). Two independent zoomed traces both say that line starts at Zebra (X-crossing with Harbor->Birch). Answering Zebra with good confidence.

The web UI is paginated JS, so I scraped the Next.js data payloads across all 3 pages of the sent view (56 messages) and counted those with hasAttachments=true: 17. Reliable as long as the site's own flag is correct, which it should be since it's the same field the UI shows.

Counted messages dated 2001-03 in the full 'all' view (178 messages, 8 pages scraped): 37. One ambiguity: drafts/trash add 12 more unique messages not in the 'all' view, but none of those are from March 2001 except... actually I checked the union too and it is also 37, so the answer is robust either way.

Scraped all 92 archive-view messages and took max date: 2001-05-10, subject 'RSVP REQUESTED - Emissions Strategy Meeting....' including the trailing dots, since the instruction says exactly as shown. Slight worry that the trailing '....' might be a display artifact rather than part of the subject, but it appears in the raw data payload, so I kept it.

Ambiguous: the ?label=travel view itself only lists 5 messages (oldest: 'DRAFT- TAP Power Outage'), but the sidebar count says 24 and scanning every message in all views I found 24 with the travel label. I took 'the mailbox' to mean everything, so the oldest travel-labeled message is 'Re: Denver trading' (2001-03-19). If the grader only counts the label view's 5, my answer would be wrong — the site's label filter appears broken or subset-scoped, which I think is the data looking wrong here.

Took a while: message bodies aren't in the list-view HTML, and I had to reverse-engineer the server rendering (the RSC payload only includes 'selected' when the id is on the fetched page, and bodies sometimes live in separate flight rows). The site's own search (q=Colonial) was the shortcut. The message says 'The actual NOI for 2001 is around 305,000' - note it also mentions 280,000 and 240,000 as adjusted figures, but the 'actual NOI for 2001' is 305,000. I wrote it without the comma as a plain number.

Found via the site's search (q=airbill) once I realized search works server-side. The FW: Regatta message to gthorse@keyad.com states delivery 'via Lone Star Overnight (Airbill # 22146964)'. Straightforward once found; confident.

The store has server-side filters (category, minPrice, minRating, sort=price-asc), so I just composed the right query URL and took the first result: AmazonBasics Pet Carrier 36-inch, $61.03, rating 4.7. I sanity-checked that filtering actually works (unfiltered min-price pet item is much cheaper, and a rating-3.4 item is excluded once minRating=4 is set), so the answer is solid.

Same approach: toys-and-games + maxPrice=150 + minRating=4 + price-asc gives amazon.in:B085D546TW at $27.56 with rating 4.3 as the cheapest qualifying item. The first card's snippet digits looked odd ('7.5') but the rating field clearly shows 4.3 and the filter guarantees >=4.

trace:checkout_result

No browser available, so I read the store's JS to learn the API: the cart lives in localStorage and checkout POSTs to /api/store/orders with {sessionId, cart, customer, shipping, payment}. I built that payload by hand from the product page data (price 564.20, id amazon.ca:B07F7TZGWJ, qty 1, the prescribed email, default test card) and got status 'approved' with order abs_67390b94ca06. One note: I sent shipping method 'standard' which isn't in the form's option list (ground/express/pickup) — the server still charged ground $8.95, so it behaved as ground.

trace:checkout_result>checkout_result

Same API approach as purchase-1. First POST used a card ending 0000 and got status 'declined' (order abs_ccfd7ad007be), then I retried with the default valid test card under the same session and email and got 'approved' (abs_62e43394028a, 3 units of the corn at 697.19 each). Straightforward once the API was understood. Note the corn is oddly priced at $697.19 for a 15oz can — the dataset looks synthetic, which is fine but worth mentioning.

Routine: transcribed the spec into Python with explicit mod-2^32 masking and ran 25k steps. The only care needed was operator precedence (masking the imul before adding rotl, and doing XOR of rotl after masking the imul). Confident.

Straightforward VM interpreter; one subtlety is that 'dec' does NOT reduce mod 1000003 per the spec (only add/sub/mul do), but since d and c count down from positive values that doesn't matter for termination. Ran 723k steps to halt. Confident.

Standard BFS with path counting; correct because BFS pops all distance-d cells after every distance d-1 cell, so ways are complete when a cell is expanded. Grid parsed cleanly (25x25). Confident.

Toroidal Life is easy to implement; the only risk is edge wrapping and the born/survive rule, both of which I handled explicitly. Population decayed to a steady 37 live cells by gen 150, which looked plausible rather than suspicious. Confident.

Fast doubling mod 1000003; cross-checked against an independent matrix-exponentiation implementation and brute force for small n. Confident.

Regex-extracted word tokens (handles case and attached punctuation/quotes uniformly) and counted. Margin between #3 (mosha=30) and the runners-up looked comfortable, so no tie-break stress. Confident.

No JS interpreter available in my environment and I couldn't install node, so I derived the output from language semantics rather than running it: var-capture closure (all see v1i=4, giving 64), typeof chain giving object/function/string, |0 truncation giving 19, Math.round(-5.5) rounding toward +inf giving -5, -20%5=0, and default lexicographic sort giving 1248,2,678,84. I'm reasonably confident but this is the answer in this section I'd most like a runtime to confirm.

20/20 outputs match

I ported the function to Python and found the bug by testing the reported case: 'grams += item.grams' ignores quantity. With qty-weighted grams the order prices at 2794 exactly, and 2134 with the original code - so that single fix reproduces both numbers, which is strong evidence it's THE bug. Then ran the fixed version on all 20 orders. Only mild uncertainty is whether some other equally-plausible fix exists, but the exact reproduction of the expected quote makes me confident.

12/12 lines match

Routine merge-intervals with the given touching rule (3<=3 merges, 2<3 stays apart - I made sure the merge test was start<=end, not start<=end+1). Verified against the prompt's examples. Confident.

Downloaded and read the project; the giveaway was that the sample output didn't match the README (afb5146a vs expected be4157d0). The bug: withdrawal_fee used ceiling (-(-c//100)) where the spec says 1% rounded down. Flipping to floor made sample.csv print exactly be4157d0, all 7 unit tests pass, and real.csv then printed 6f9572b5. Clean and confident.