pi/rtx5090/qwen3.8-flash-next-iq3_s-basalt

Totally routine - I counted the z's by eye in zbaszaznzpol and then double-checked with a one-line count in Python. Only real risk is careless counting on a longer string.

Easy comparison once I treated them as 9.70 vs 9.73. This one is a trap for models that compare digit strings, so I deliberately padded to equal decimal places before deciding.

Straightforward but I had to override my usual precedence habit: strictly left to right it is 36, 6, 42, 21. I sanity-checked the intermediate values in Python rather than trusting the mental run.

The arithmetic is trivial (17 -> 17000 -> 17000000) but the task is ambiguous about GB->MB: SI would give 17000 MB while binary (MiB) would give 17408 MB. Since the second hop is explicitly stated as a factor of 1000 I assumed the same decimal convention throughout and answered 17000000; if the grader used 1024 the expected answer would be 17408000.

Formatting exercise, easy. The only gotcha is that checksum has to be a bare JSON number, not a string, and the key order has to be answer then checksum - I built it with an ordered dict and checked 4+8+5+7=24.

Trivial addition, 16+9=25. Nothing to struggle with; I just verified it to be sure I wasnt off by one.

Routine two-digit/three-digit addition (137+359=496). Verified in Python; this kind of task never gives me trouble.

Plain expression evaluation: (18+14)*(14-12)=64, plus 42, minus 60 = 46. I expanded it step by step and cross-checked with Python, so I am confident.

The 4x4 determinant is the only one where hand arithmetic could plausibly go wrong, so I did not do it by hand: I computed it twice, once by fraction-exact Gaussian elimination and once by the full permutation/Laplace expansion, and both gave -13174. My first attempt actually printed -13173.999999999995 because I mixed in float division, which is exactly the kind of silent error this task is good at catching.

expected 8QBVG, got "8QBUG"

Row 4 group 1 was large enough to read straight off the full chart, and I cropped and upscaled it to confirm 8QBUG (checking 8 vs B and G vs C). Comfortable; the smaller acuity images should be much harder.

Row 5 group 2 read as 3QFHR. At full-image size the glyphs were only a few pixels tall so Q vs O and R vs P were genuinely ambiguous; cropping and upscaling 5x made it clear. I would not have trusted the un-zoomed view.

Row 6 group 2. The full chart rendered too small for me to be sure of 8 vs B and M vs N, so I cropped that single group and upscaled it about 6x; it reads Z8MXC. Zooming is doing most of the work here, not my raw acuity.

Row 7 group 2 was the hardest - the glyphs are only about 8 pixels tall and unreadable in the full-size view. Cropping to the single group and blowing it up 8x (both interpolated and nearest-neighbour) gave 9VMX4, though the 9 and the trailing 4 are barely resolved and I would not be surprised if the truth were g/8 or K.

Easy. I counted the teal circles visually (3) and confirmed it programmatically by flood-filling the exact teal RGB into connected components - three blobs of identical area. Having the pixel-level tool makes counting tasks about colour naming rather than counting.

The trap here is that green also appears as diamonds and triangles, so counting by colour alone would overshoot. I counted green connected components in code and separated circles from diamonds by pixel area (9380 vs 5940 px), then checked the picture by eye: 9 green circles.

Honestly this one is not countable by eye - 35 orange shapes scattered over the canvas, with red dots that look almost the same at a glance. I fell back on pixel analysis: flood-filled the exact orange RGB (242,106,34) and classified each blob by fill ratio, giving 22 circles, 6 squares, 4 diamonds and 3 triangles. I am more confident in the code than in my own eyes here, though orange-vs-red is a judgement call the grader might make differently.

Trivial grid lookup. I eyeballed it as row 1 column 4 and then confirmed by finding the only red blob in the pixel data (centre about x=852,y=147, which lands in column 4 of row 1). No difficulty.

The picture has two arrows meeting at the orange diamond (one in from the blue square, one out), so I did not want to guess direction from the thumbnails. I extracted the dark line segments from the pixels and measured where the thicker arrowhead sits at each end: the segment touching the orange diamond has its head at the purple circle, so orange diamond -> purple circle. Visually plausible too, and the pixel trace made the direction certain.

This was the hardest vision task so far - 65 shapes and 14 crossing arrows, and the arrowheads are tiny. My first automated attempt at tracing segments got the direction wrong on one edge (segments break where arrows cross, and my endpoint-density heuristic was fooled), so I fell back to zoomed crops: the arrow into the purple square comes from the green triangle, and the arrow into that green triangle comes from the blue square. I am reasonably but not fully confident; the arrowhead at the green triangle is clear, the identity of its tail shape is inferred from where the line exits the blue square.

Reading a bar off an axis by eye is fuzzy, so I measured it: baseline at y=619, the 50 gridline at y=119.5, May bar top at y=190, which works out to 42.9. The other bars came out at clean values (27, 39, 29, 45) so I trust the calibration and say 43.

Easy - the title is large and crisp. The only mild ambiguity is that there is also a subtitle, "Unique users per month, in thousands", but the bold heading is clearly the title, so I gave just that.

Counting twelve orange bars against an invisible 46 line by eye is error-prone, so I measured each orange bar top in pixels and calibrated with two gridlines (100 at y=119.5, 75 at y=259.5). Paid comes out about 38,20,26,69,22,70,52,35,67,83,87,83 - seven months above 46. The closest call was July at ~52, still clearly over.

Easy read of the Total line. I also added the line items (38.38 + 61.76 + 35.68) and they sum exactly to 135.82, so the screenshot is internally consistent and I am confident.

Another straightforward Total read; the digits were crisp. I re-added the line totals (93.94 + 110.28 + 75.20 = 279.42) and they match, so nothing looked off in the data.

The rows are small but legible. The Tax line reads 26.55 and I did not need to trust my reading blindly: subtotal 343.07 equals the sum of the nine line totals, and 343.07 - 48.03 + 18.41 + 26.55 = 340.00, exactly the printed total, which confirms I read the tax right.

Simple flowchart: Copper feeds Quiver, Beacon and Lemur, and the only arrow leaving Beacon goes straight to Rowan. Easy once I upscaled the 568x288 original so the labels were legible.

The graph has crossing edges near the bottom, and Eagle has two outgoing arrows (one to Aspen, one to Piano), so I zoomed right in on the top edge of the Aspen box to count arrowheads: exactly one enters Aspen, coming down from Eagle. The second line just passes over the top of the box on its way to Piano.

Hardest of the diagram set - 24 boxes with long, bending, crossing polylines. I wrote a small pixel walker that leaves Hazel along each dark line touching its border; the only line that leaves Hazel without an arrowhead at the Hazel end runs left and drops into an arrowhead on Zircons right edge. I confirmed it with a zoomed crop showing the arrowhead on Zircon and a plain (tail) end at Hazel. Reasonably confident, but the other two lines at Hazirs left edge are incoming arrows, which made this easy to get backwards.

The mailbox is a Next.js app with no JSON API, so I scraped the embedded flight payload and counted sent messages with hasAttachments:true across all 3 pages - 17. I cross-checked with the built-in label filter view=sent&label=attachments, which also reports 17, so I feel good about this one.

Same scraping approach as the previous one: I pulled all 92 archive messages across pages and counted unread:true, giving 41. It also reconciles with the global unread count of 50 minus the 9 unread in the inbox, which is a reassuring consistency check.

I sorted the archive newest-first and took the top row (2001-05-10), then opened the message to copy the subject verbatim, including the four trailing dots which are part of the real subject string rather than an ellipsis I added. Slight risk that the grader trims punctuation, but I answered exactly as shown.

I used the mailbox sort=oldest on the inbox and took the first row (2001-04-24), then opened the message to copy the subject exactly, including the odd "DRAFT- " prefix with no space after the hyphen. Straightforward.

This one took real work: the built-in search only indexed two of the three Huntley messages, so the thread about the lot survey never came up for the terms Huntley, survey, lot or fax. I ended up downloading the full body of every message in the mailbox (265 listing URLs, since a message only renders when it is in the current listing page) and grepping locally, which turned up RE: Huntley followup question in the Trash folder. Bob writes please send it to my fax at 281-858-1127, distinct from his main number 281-858-0000 in the signature, so I gave the fax line only.

Found it in Renee Ratcliffs reply to Phillip: she writes that they will distribute the shares reflected on his 9/30/01 statement, 6,606 shares plus cash for fractional shares. I gave the bare number 6606 rather than the comma-formatted 6,606 as it appeared, since the prompt asked for just the number; that formatting choice is the only thing I am unsure about.

The store exposes server-side filters, so this was mostly discovery: I had to find that category, minRating and sort go in the query string. With category=tools-and-hardware, minRating=3.5 and sort=price-asc the first hit was AmazonBasics diagonal cutters at $9.46 (rating 4.8), well under the $300 cap, and I read the amazon.com:B07TWFDN96 id off the product page payload since the listing only shows the slug.

Harder because the store rating filter only offers 3.5/4/4.5, not 3.6, so I scraped all 35 pages of the Sports and Outdoors category (854 items) and filtered myself: 288 items at $650 or more, and the cheapest with rating at least 3.6 is a Helly Hansen jacket at $652.02 rated 4.4. The items just below it at $654-$658 are rated 3.5 or 3.4 so they are correctly excluded. I then had to read the real product id off the item page because the domain is amazon.com.au, not amazon.com - the slug alone would have given the wrong answer.

trace:checkout_result

No browser was available, so I had to reverse-engineer the checkout: the cart lives in localStorage and the form posts JSON to /api/store/orders, which I found by reading the minified Next.js chunk for the checkout page. I sent the same payload the page would send (3 units at $255.16, ground shipping, the given email, card ending 4242) and got back approved with order id abs_12d09a96d1c7. Slightly uneasy that I bypassed the UI, but the server recorded a real order with subtotal 765.48 and total 837.58.

trace:checkout_result>checkout_result

Same reverse-engineered checkout endpoint as the previous task, so the mechanics were easy by then. I made the first attempt with a card ending 0000 and got status declined (order abs_a5cca05758c2), then retried with a different valid card and got approved (abs_6edf74944e11), keeping one session id and the same checkout email for both, as asked.

Rote but fiddly: the only traps were modulo-2^32 discipline and the order of updates, since the new x feeds into the y line and the new y into the third x line. I wrote it in Python with explicit % 2**32 after every multiply and XOR, and masked y after the XOR because Python ints are unbounded. Nothing felt uncertain beyond a possible off-by-one in which x each line uses.

I implemented the little VM literally in Python rather than reasoning about the nested loops, because the negative modulo behaviour of sub/mul is exactly where a hand calculation goes wrong. It ran about 849k steps and ended with a=340003 and c and d both 0, which matches the two loop counters, so the control flow looks right.

Standard BFS with a path-count accumulator, which is routine for me. The one thing worth being careful about is that a cells count is only final once every cell one step closer has been popped, which BFS ordering guarantees; I checked the grid was read in as 25x25 so no rows were clipped.

Routine toroidal Game of Life; I kept it as a set of live cells with a neighbour counter, which is the safe way to get the wrap-around right. My first run crashed on a silly set-comprehension unpacking mistake, so I fixed it and asserted the grid is really 20 rows of 20 before running 150 generations.

Fast doubling modulo m is straightforward, but I wanted an independent check so I also factored m (it is prime), worked out the Pisano period 2750158 and recomputed F(n mod period) - same answer, 1044937. My first attempt had a tuple-precedence bug in the return statement that crashed it, which is worth admitting: I only caught it because the error was loud rather than silent.

Straightforward counting; I extracted words with a letters-only regex after lowercasing, which is equivalent to stripping attached punctuation here (420 tokens, 30 distinct). Closest tie risk was 4th place, peltru and quipel both on 21, but the top three are clear.

I had node available so I just ran the snippet instead of reasoning about float comparison, sparse arrays and the null coercion rules in my head. The interesting traps (0.1*4+0.2*4 not equalling 0.3*4, Math.round(-8.5) rounding toward +infinity, filter skipping array holes) all showed up in the actual output and matched what I expected.

20/20 outputs match

The failing order showed the base-fee condition was inverted: FREE_BASE_OVER is meant to WAIVE the base fee, so the base should be added only when value is strictly below it. Porting quote to Python and flipping <= to < reproduces 670 for the reported order. I am genuinely unsure about one thing though: the || order.express clause in that same condition, which makes every express order pay the base fee regardless of value. I treated it as intended behaviour (one bug means one operator flip), but if it was meant to be removed then 3 of my 20 numbers (the express ones at 4494, 4089 and 4845) would instead be 3216, 3456 and 4212.

12/12 lines match

Interval merging is trivial, but I nearly got it wrong on the definition of touching: my first run merged [1,2] with [3,4], which the spec explicitly says must stay apart. The examples caught it, so the merge test is strict overlap (next.start <= current.end), not adjacency. Worth flagging that the wording touching is misleading given that example.

The bug jumped out once I ran the bundled tests: withdrawal_fee used a ceiling trick, -(-cents // 100), where the README and the failing test want 1 percent rounded down. One line change and the whole suite passes, and data/sample.csv then prints the documented 213b5269 which is a good confirmation before trusting real.csv. Nice task, the self-verifying sample checksum makes it hard to fool yourself.

Two bugs here and only one was covered by tests: the withdrawal-fee threshold used > instead of >=, which the unit test flagged, and load() sorted transactions by the raw DD/MM/YYYY string instead of the date_key tuple, which no test noticed but which scrambles the order the README promises. I fixed both and the sample file then printed the documented f28bf8a8, so I am confident before trusting real.csv. I did briefly worry there was a third bug since the prompt said bugs, but the documented sample checksum matching is strong evidence there were only two.