pi/rtx5090/swift-1.5-qwen3.8-27b-q6_k

Trivial. Counted the r in tirenbrasr: positions 3, 7, 10 — three of them. Easy and unambiguous.

Trivial comparison; 8.71 is larger than 8.2. No ambiguity.

Straightforward left-to-right evaluation: 46, 23, 69, 23. The instruction to ignore precedence was explicit, so no ambiguity.

Two-step conversion as instructed: 15 km = 15000 m, then treat 15000 as km and convert again: 15,000,000 m. The re-treat step is a deliberate trap but the prompt states it explicitly.

Format exercise. Digit sum of 4339 is 19, checksum is a JSON number, key order answer then checksum. Easy.

Trivial addition, 34.

Trivial, 600.

Routine: (-3*8)+30-16 = -24+30-16 = -10. Easy.

Computed the 4x4 determinant by cofactor expansion in Python to avoid arithmetic slips; got 966. This is the kind of thing I verify with a script rather than by hand.

Eye chart, row 4 group 3. The text was small but legible at full size; I read 2DQJE. Slight uncertainty on the last glyph (E vs J) but the serifs and crossbar read as E.

Row 5 group 1 of the eye chart. Small text but legible; I read TCHYA with reasonable confidence.

Row 6 text was too small to trust at native size, so I cropped and 5x-upscaled the band with PIL before reading. Read FFF87; the zoom made it clear.

Row 7 is the smallest line; I cropped and 6x-upscaled it before reading. Read 29MQX. At this size I would trust the zoomed view over the native one.

Easy count. Six teal triangles; the other shapes are two green squares, one green diamond, one red circle, one purple diamond. Confident.

Counted purple axis-aligned squares only, deliberately excluding the purple diamonds (4 of them) and the purple triangle. Got 9. The trap here is shape vs colour conflation; I kept the two dimensions separate.

Too many small shapes to count by eye reliably, so I segmented the exact blue colour (36,99,235), ran connected-component labelling, and classified each blob by bounding-box fill ratio (circle ~0.78, square ~1.0, triangle ~0.5). Got 29 circles, 4 squares, 1 triangle. Trusting the pixel count over my eyes here.

5x5 grid, single red circle top-right. Row 1, column 5. Trivial.

Found the teal circle bottom row, followed its outgoing arrow up-right to the orange square. Note there is also an arrow pointing INTO the teal circle from the purple diamond above, which is the easy way to get the direction wrong; I checked arrowhead placement to be sure.

wrong shape

Traced arrows backwards from the orange circle: teal triangle points into it, orange square points into the teal triangle, and green square points into the orange square. So 3 steps back is the green square. The crossing lines made this visually noisy; I double-checked each arrowhead direction rather than trusting line proximity. Moderate confidence — one crossing line near the purple circle made me pause, but the bottom chain is clean.

Read the bar off the axis, then verified by pixel measurement: gridlines 100px apart per 10 tickets, Feb bar 319px tall = 31.9, so 32. Well within the +/-5 tolerance.

The title is clearly rendered at the top: Monthly Active Users. The subtitle is separate. No ambiguity.

Measured bar tops in pixels: Dec Mobile ~79, Desktop ~65, difference 73px against a 140px-per-25-units scale = 13.0. My visual read (14) and the pixel read (13) both sit inside the +/-4 tolerance; I submitted the pixel value.

Cart total is displayed as $214.89 and the line items (68.70 + 45.21 + 100.98) sum to exactly that, so the display and the arithmetic agree. Easy.

Total displayed as $432.39; verified the five line totals sum to exactly that. Easy.

Order summary shows a Shipping line of $19.43 between Discount and Tax. Clear read, no ambiguity.

Simple chain: Laurel -> Carrot -> Raven -> {Weasel, Cherry}. The arrow into Raven comes from Carrot. Trivial.

Zoomed into the bottom-left: exactly one arrow enters Prism, from Mango directly above it. Mango also has a second outgoing edge to Zebra, which is the only real trap here. Confident.

The Quokka edge crosses another line, which is the main hazard. Zooming in showed the line from Quokka going down, bending right, and ending with an arrowhead on Prism. The other line crossing it belongs to a different source heading to Lemur. Confident after the zoom.

The mailbox site embeds a manifest with folderCounts (trash: 12) and the trash folder view itself reports total: 12 with 12 items listed. Two independent sources agree. Easy once I figured out the site serves data via the RSC endpoint.

Required checking the full To field of all 190 messages (the list view only exposes the first recipient). The detail view only resolves a message id when the matching folder AND page params are passed, which took a few iterations to figure out. Fetched all 190 details with the right view+page, got 0 failures, and counted 12 with gthorse@keyad.com in To (2 inbox, 4 sent, 3 archive, 3 trash). Confident.

Sorted the inbox oldest-first; the earliest is 2001-04-24, subject "DRAFT- TAP Power Outage". Cross-checked against the tail of the newest-sorted list, which agrees. Easy.

Filtered the all-views list by the attachments label, sorted newest-first; top hit is 2001-12-17 "FW: Chase Backtest". Straightforward.

The site search (q param) returned nothing for this subject, so I scanned all 190 listed subjects and found it in sent. The body says "The biggest difference is 9/14 ($500 million)." I answered with the dollar amount as it appears. Slight ambiguity about whether they wanted the date too, but the question asks specifically for the dollar amount.

This one was the hardest in the section. The site search (q) never matched, and my first body-fetch pass stored RSC row references ($e) instead of text for many messages, so a naive grep found nothing. I had to resolve the RSC row references, then locate the right thread by its snippet ("I really need help analyzing the numbers"), and read the quoted correction: Killeen is $1,377,550, not $1,360,000. Confident.

The store is a Next.js app; the catalog is not a single JSON endpoint, so I paginated all 13 category views via the RSC payload and brace-parsed each embedded product object (8309 products total). Filtered Beauty & Personal Care to price<800 and rating>=4.8; the minimum price is $20.37 (rating 4.8). Verified nothing cheaper qualifies. Confident.

Same catalog crawl as the previous question. Filtered Toys & Games to price>=200 and rating>=4 (89 candidates); the minimum price is $205.47 (rating 4.5). Checked the gap down to $200 to be sure nothing cheaper qualifies. Confident.

trace:checkout_result

Reverse-engineered the store: it is a Next.js app whose checkout POSTs a JSON payload to /api/store/orders. I extracted the cart item shape and the pre-filled valid test card (4242424242424242) from the JS, built the payload for 1x amazon.ca:B074Y2PYG1 with the required email, and got status=approved, orderId=abs_1710427bc3b6. Confident.

trace:checkout_result

Same /api/store/orders flow. First POST used card 4242424242420000 (ends 0000) -> status=declined (orderId abs_7d336a5aed93). Retried with the valid test card 4242424242424242 -> status=approved, orderId=abs_7a54b9cd8147. Both used email aidoctor-3ad68abc@aidoctor.test. Answer is the approved order id. Confident.

Implemented the 25000-round 32-bit PRNG exactly in Python (rotl32, imul mod 2^32, sequential x/y updates). Final x-y = edac7ff9-43c12b5d.

Simulated the tiny VM. Verified by hand: outer loop runs 296x, each adds 21*554+23=11657 to a; a=94+296*11657=3450566; mod 1000003 = 450557.

BFS for shortest distance (48 moves) then DP over the distance-DAG to count shortest paths mod 1e9+7 = 213648. Grid verified 25x25.

Simulated 150 generations of toroidal 20x20 Game of Life. Final live cells=48, sum of row*20+col over live cells=10667.

Fast-doubling Fibonacci mod m for n=7332552230148576, m=1299709 -> 520182.

Lowercased, stripped non-letters, counted. Top3: quilu=49, kavo=28, lutru=26 (next shaka=25, no tie).

Ran the JS in node. v1=899 (string concat), v2=6:3 (sparse array len 6, filter drops holes ->3), v3 lexicographic sort, v4 parseInt with index-as-radix -> 2,NaN,7.

20/20 outputs match

Bug: fragile counted per line (+=1) instead of per unit (+=item.qty). FR order then = 243+2*155=553 as required. Ran fixed quote() in node on all 20 orders.

12/12 lines match

Sort by start, merge when next.start <= current.end (touching merges). Ran on all 12 inputs; verified several by hand.

Ledger project. Bug: withdrawal_fee used `cents > LARGE_WITHDRAWAL` but the rule (and the unit test test_threshold_counts_as_large) requires 50,000 to count as large, so it must be `>=`. After the one-line fix, all 7 unit tests pass and the sample prints the expected 24612a8d; real.csv then prints 437c814a.

Two bugs. (1) fees.py used ceiling division -(-cents//100) for the 1% large-withdrawal fee; the rule says rounded down, and the test expects withdrawal_fee(50050)==500, so it must be cents//100. (2) parse.py sorted by (date, amount), which reorders same-date transactions; the rule says same-date transactions keep file order, so the key must be date only (stable sort). After both fixes all 7 unit tests pass, and an independent from-scratch reference implementation of the README rules gives the same real.csv checksum 55b81a16.