opencode/rtx5090/qwen3.8-27b-nvfp4-radixark

Straightforward count: n-n-i-x-d-o-r-n-n-k-a, four n's. Easy and routine.

3.66 > 3.3, trivial comparison.

Strict left-to-right without precedence: 14+12=26, 26-20=6, 6-16=-10, -10/5=-2. The no-precedence twist is the only gotcha; done carefully.

10 km = 10000 m; treat as 10000 hours x 60 = 600000 minutes. The 'treating the number as hours' step is a unit-juggling trick but unambiguous.

Sum of digits of 3397 is 3+3+9+7=22. Straightforward, just had to keep checksum a number and the keys in the given order.

0+14=14. Trivial.

933+532=1465, verified with a quick script.

((−15)×2)+(−3)−27 = −60, double-checked with Python.

Computed the 4x4 determinant exactly with fraction-based Gaussian elimination (and cross-checked against cofactor expansion and numpy float). -1674. Comfortable.

Located the target row by horizontal dark-pixel band detection, split row into 3 groups by column gaps, cropped the target group, upscaled 6x, ran tesseract (psm 7/8/13 with and without alphanumeric whitelist), then visually verified the zoomed crop character by character.

Located the target row by horizontal dark-pixel band detection, split row into 3 groups by column gaps, cropped the target group, upscaled 6x, ran tesseract (psm 7/8/13 with and without alphanumeric whitelist), then visually verified the zoomed crop character by character.

Located the target row by horizontal dark-pixel band detection, split row into 3 groups by column gaps, cropped the target group, upscaled 6x, ran tesseract (psm 7/8/13 with and without alphanumeric whitelist), then visually verified the zoomed crop character by character.

Located the target row by horizontal dark-pixel band detection, split row into 3 groups by column gaps, cropped the target group, upscaled 6x, ran tesseract (psm 7/8/13 with and without alphanumeric whitelist), then visually verified the zoomed crop character by character.

Counted 3 red squares by eye (top-left, and a pair in the middle band); cross-checked with OpenCV color segmentation. A loose hue mask initially caught two orange diamonds too, but exact RGB confirmed only 3 are truly red.

Counted purple triangles by eye (12), then verified with OpenCV: purple mask + contour vertex count gives exactly 12 triangles, plus one purple square and one purple circle correctly excluded.

Dense field of shapes. Distinguished orange from red by exact RGB (242,106,34 vs 220,38,38), then separated axis-aligned squares from two rotated orange diamonds and two orange triangles via contour area/bounding-box fill. Got 28 squares, and my rough visual row-by-row scan agreed with 28.

5x5 grid; the red circle sits in the rightmost cell of the third row. Verified the blob centroid lands in row 3 / col 5 via OpenCV; only one red shape in the image so no ambiguity.

The green circle (row 2, col 4) has two lines touching it: one it points out along to the blue diamond, and one incoming. I traced every line by connected components, mapped endpoints to the 6x6 grid cells, and measured line width profiles at each end to find arrowheads. Exactly one arrow terminates at the green circle, and its other end is the purple square (row 3, col 2). My initial eyeball read agreed.

8x8 grid of colored shapes with thin black arrows. Located the single orange triangle at grid cell (col3,row4) 0-indexed, center (555,705). Extracted all 13 arrow line components via connected-components on the dark mask; for each, found the two endpoints by projecting onto the principal axis and identified the arrowhead end by eroding the line mask (thin shaft vanishes, filled arrowhead core survives). Verified directions with targeted 2-3x zoom crops. Chain: orange triangle -> purple circle (0,3) -> red diamond (1,0); red diamond has no outgoing arrow. Two shapes follow the orange triangle. Answer=2.

OCR + visual read of chart title.

OCR + visual read of chart title.

Measured blue (New) bar pixel heights against y-axis calibration (0 at y=678, 140px per 25 units). New values: Jan24 Feb45 Mar85 Apr69 May73 Jun65 Jul45 Aug90 Sep88 Oct30 Nov52 Dec12. Months >58: Mar, Apr, May, Jun, Aug, Sep = 6.

Cart total $131.08; verified 50.70+80.38=131.08.

Cart total $343.90; verified sum of line totals 30.00+154.28+5.92+69.38+84.32=343.90.

Order summary Shipping $19.78; verified 251.74-47.83+19.78+16.31=240.00.

Detected all boxes by lavender fill color, OCR labels with tesseract, located the single arrowhead at the target box edge via erosion of the dark line mask, then traced the line backward with a direction-following curve tracer and junction straight-through rule, verified with overlay on the original image.

Detected all boxes by lavender fill color, OCR labels with tesseract, located the single arrowhead at the target box edge via erosion of the dark line mask, then traced the line backward with a direction-following curve tracer and junction straight-through rule, verified with overlay on the original image.

Detected all boxes by lavender fill color, OCR labels with tesseract, located the single arrowhead at the target box edge via erosion of the dark line mask, then traced the line backward with a direction-following curve tracer and junction straight-through rule, verified with overlay on the original image.

Parsed the server-rendered sidebar counts and verified them by crawling every paginated view and counting message rows in the HTML; both methods agree.

Parsed the server-rendered sidebar counts and verified them by crawling every paginated view and counting message rows in the HTML; both methods agree.

Parsed all 190 unique messages from the RSC payloads of every paginated view (inbox/starred/unread/sent/drafts/archive/trash/all) to get full ISO timestamps and label arrays (resolving RSC reference-style label entries via merge across pages). Filtered the 24 messages with the travel label - matching the server-side label count of 24 shown on detail pages - and took the min by ISO date: 2001-03-19T09:25:00Z, subject Re: Denver trading. The next travel message is 2h later the same day, so the tie-break is unambiguous.

Parsed the inbox view RSC payload with full ISO timestamps. The two Nov 16 messages are 2001-11-16T20:22:12Z (Summary of Today's Meeting, Mery L Brown) and 2001-11-16T18:07:13Z (RE:, Greg Whalley). Newest-first sort on the live inbox list also puts Summary of Today's Meeting first. Verified the subject character-by-character: plain ASCII apostrophe.

Found the reminder message (subject: Reminder: Portland Fundamental Analysis Strategy Meeting/NEW INFORMATION, from Kathryn Sheppard, 2001-10-30) by scanning all 190 messages extracted from the RSC payloads. Opened its detail page (view-scoped URL) and read the rendered body: Dial In Number 888-285-4585, Participant Code 124573.

Located the message with subject FW: Curve Shift File (sent 2001-12-10 by Phillip to Jeff; detail required the view=sent URL). Body states: Gas P&L for 2001 was 1.2 Billion but the theoretical curve shift was -13 million; the biggest difference is 9/14 ($500 million). Answered with the exact dollar amount as it appears.

Crawled every page of the Tools & Hardware category (39 pages, 952 products shown) extracting full product JSON (id/price/rating) from RSC payloads, then verified with the store own server-side filters category=tools-and-hardware&maxPrice=649.99&minRating=4.5&sort=price-asc (212 results; full filter crawl matched the displayed-catalog matching subset exactly). Cheapest qualifying product: AmazonBasics Angled Head High Leverage Diagonal Cutters at 9.46 USD, rating 4.8 -> amazon.com:B07TWFDN96. No products priced in 649-651 range, so the under-650 boundary is unambiguous.

Crawled every page of Home & Furniture (39 pages, 963 products) and verified with server filters category=home-and-furniture&minPrice=75&minRating=4.8&sort=price-asc (154 results; full crawl of filter matched displayed-catalog subset exactly). Cheapest qualifying product: (Renewed) Solimo 3-Piece Airtight Kitchen Storage Container Set at 78.70 USD, rating 5.0 -> amazon.in:B07ZG3SHPD. Only product between 75 and 78.70 was 75.52 with rating 3.4 (excluded).

trace:checkout_result

Reverse-engineered the checkout client component (Turbopack chunk 0ec55mll9ly4m.js): it posts {sessionId, cart:[{productId,slug,title,price,image,delivery,quantity}], customer:{email,name}, shipping, payment} to POST /api/store/orders. Fetched the full product object for amazon.ae:B07T3G8431 from its product page RSC payload, posted an order for exactly 1 unit with the required checkout email and the pre-filled valid test card 4242 4242 4242 4242 (12/30, cvc 123). API returned status=approved with orderId abs_af4ab879b350.

trace:checkout_result

Used the store order API (POST /api/store/orders) discovered from the checkout client chunk. Attempt 1: 2 units of amazon.ae:B07BC9BFWT, email aidoctor-47a28337@aidoctor.test, card 4000000000000000 (ends in 0000) -> status=declined (orderId abs_86846dbc78db). Attempt 2: identical order with valid test card 4242424242424242 -> status=approved, orderId abs_cb512b4e05f8.

Simulated the 25000-round schedule exactly in Python with unsigned 32-bit semantics: rotl32 via ((z<<r)|(z>>(32-r))) mod 2^32, imul as product mod 2^32, XOR then mul/add per the given line order (y's rotl uses the freshly updated x; the final x uses the freshly updated y).

Executed the VM in Python (mod 1000003 after add/sub/mul). Structure: inner loop adds a to b 397 times while counting d down; outer loop runs 338 times subtracting 54 from a each pass. a = (868 - 54*338) mod 1000003 = -17384 mod 1000003 = 982619.

BFS from S(0,0) to E(24,24) on the 25x25 grid; shortest path length 48. Counted distinct shortest paths by accumulating counts along BFS layers (all predecessors at distance d-1 processed before distance d nodes are expanded), mod 1e9+7 = 1419292. Verified with an independent layer-iteration implementation giving the identical result.

Simulated 150 generations of toroidal Conway's Life on the 20x20 grid in two independent Python implementations (explicit 8-neighbour sum and shifted-row convolution). Both agree: 11 live cells; sum of row*20+col over live cells = 1813.

Fast-doubling Fibonacci modulo 1000003 (F(2k)=F(k)*(2*F(k+1)-F(k)), F(2k+1)=F(k)^2+F(k+1)^2). Verified the implementation against iterative Fibonacci for n up to 12345 mod 1000003 before running for n=8850937307183631.

Lowercased all tokens, stripped attached punctuation (quotes, semicolons, commas, periods, !, ?) by regex word extraction, counted frequencies: 420 total words, 30 unique. Top 3: renfic 37, kapel 30, kabas 29 (next is renka 25, so no tie-break ambiguity at the top 3). Cross-checked with a second parser.

v1: JS default sort is lexicographic on strings: 13, 1857, 301, 4. v2: null==0 is false, []==false is true (both coerce to 0), "60"<"7" is true (lexicographic), so map(Number) -> 011. v3: verified in IEEE-754 doubles (Python, same semantics) that 0.1*7+0.2*7 and 0.3*7 are bit-identical (both hex 0x1.0cccccccccccdp+1), so === holds -> 'equal'. v4: object/undefined/string. console.log joins with spaces.

20/20 outputs match

Bug: total weight ignored item quantity - 'grams += item.grams' should be 'grams += item.grams * item.qty'. Confirmed with the bug report: DE 274g x3 = 822g -> ceil(822/250)=4 steps x 71 = 284 (old code gave 2 steps -> 142). Applied the one-line fix, reimplemented quote() in Python (JS arithmetic semantics: >> is floor-div for positives; express multiplier 150%/185%; SHIP10 discount min(cents>>3,500); min 99) and ran all 20 orders. Hand-verified several (e.g. MX express+coupon = 43917).

12/12 lines match

mergeIntervals: sort by start, merge next interval only when next.start <= current.end (inclusive endpoints, so touching like [1,3]+[3,5] merges but [1,2] and [3,4] stay apart). Ran on all 12 inputs; each line is the compact JSON of the merged list.

Downloaded and unzipped the project. Bug: ledger/fees.py used "if cents > LARGE_WITHDRAWAL" but the README and tests/test_fees.py::test_threshold_counts_as_large specify withdrawals of 50,000 cents OR MORE pay 1% (rounded down). Changed to ">=". All 7 unit tests then pass, python main.py data/sample.csv prints 1de253df (matching the README), and python main.py data/real.csv prints 09267e42.

Two bugs: (1) ledger/fees.py used "if cents > LARGE_WITHDRAWAL" although the README/tests say withdrawals of 50,000 cents OR MORE pay 1% rounded down - changed to ">=". (2) ledger/parse.py sorted transactions with key=lambda t: t.date (raw DD/MM/YYYY strings, wrong order across months) instead of the intended key=lambda t: date_key(t.date). After both fixes: all 7 unit tests pass, main.py data/sample.csv prints dd2e0082 (README-expected), main.py data/real.csv prints 6a7165f4.