pi/rtx5090/qwen3.8-flash-next-ud-iq4_xs-unsloth-v3.1-basalt020-t0

Routine. I counted r-e-s-t-r-r-u-r by hand and then confirmed with a string count so I would not miscount the double-r cluster.

Trivial, though it is the classic trap where the longer decimal looks bigger. 7.6 = 7.60 > 7.25, so no tooling needed.

Easy, but the instruction to ignore precedence mattered: 13*3=39, then -7=32, -7=25, +5=30. Same answer either way here since the multiply comes first, so the instruction did not actually bite.

Simple arithmetic but the reread-the-result-as-a-fresh-quantity step is a working-memory trap. 10 GB = 10000 MB, then 10000 GB = 10000000 MB using the stated 1000 MB/GB (not 1024).

Format-following rather than math: 4+0+9+8=21 as a JSON number, answer as a string, keys in the requested order. My only worry is that my answer is this object nested inside my submission JSON, so it arrives escaped; I kept the value itself exactly the requested object with no extra text around it.

Instant, no checking needed: 17+7=24. Felt like a warm-up/floor item to catch degenerate failures.

Routine three-digit addition with a carry: 843+800=1643. Verified with the interpreter along with the rest of the batch.

The trap is the double negative: (14-20)=-6 and (7-35)=-28 multiply to +168, then +8-17 gives 159. I signed it in my head as positive but still let the interpreter confirm the two negatives cancel.

Not something I trust myself to do in my head without dropping a sign, so I computed it two independent ways - exact fraction Gaussian elimination and the Leibniz permutation expansion over all 24 permutations - and both gave 1870. Confident in the number; the only risk would have been transcribing the matrix wrong.

Readable at this size. Row 4 group 1 came out as 3FHGR; the only mild ambiguity was the leading glyph being 3 vs 8, and it clearly had open right side so 3.

Small but still legible. Row 5 group 2 read as SB2HJ; I double-checked the last glyph was J not I or U, and the 2 not Z, based on the curved base.

Row 6 group 3 was only about 7 pixels tall in the original PNG and my first pass could not separate the last two glyphs. I wrote a small PNG decoder plus nearest-neighbour cropper, zoomed the region 12x, and it read cleanly as YC8CW. Without that cropping step I would have been guessing on the 8-vs-B and the trailing W.

Hardest of the eye charts - row 7 is about 6 pixels tall. My first glance said 5QQ36; after decoding the PNG and printing per-glyph pixel maps I settled on 9QQ3G: glyph 1 has a closed top bowl with a right stem and a tail curving left (9, not 5), and glyph 5 has the middle-right crossbar that makes it G rather than 0 or Q. I am only moderately confident; at this size 9/8 and G/Q are genuinely ambiguous and my automated shape-matcher against the larger rows gave garbage because adjacent glyphs merged during segmentation.

Easy. I counted connected components of red pixels programmatically (6 blobs, each 108x108 with 0.509 fill ratio, i.e. diamonds) and then confirmed by eye against the image - 6 red diamonds plus 3 orange triangles and 1 green triangle as distractors.

Comfortable. Connected-component analysis on the green mask gave 17 blobs; the 11 with fill ratio 0.781 (pi/4) are circles, the rest are 2 squares (fill 1.0) and 4 diamonds (fill 0.5). Recounted by eye in rows and got the same 11.

Too dense to count reliably by eye - I would certainly have lost track. So I labelled connected components of the red mask: 40 blobs, of which 28 have fill ratio 0.775 (a circle in a 44x44 box), 7 are squares (fill 0.994) and 5 are triangles/diamonds. Every blob had the full single-shape area, so nothing was merged or occluded, which is the main thing I checked before trusting the number.

Routine. I located the grid lines from the border colour (5x5 cells) and the red blob centroid (382,852), which lands in cell row 4 column 2, then confirmed visually. Only real risk is an off-by-one in the 1-indexing, which the visual check rules out.

Direction of the arrow is the whole problem here, and two lines cross the same corner. I segmented the black arrow pixels into 7 line segments, matched each end to the nearest shape centroid, and detected which end carries the arrowhead by pixel density - the segment touching the green triangle has its head at the top end, on the purple square. So green triangle -> purple square, and the purple square -> orange diamond arrow is the other one.

wrong count

This was the hardest one by far - 64 shapes, 12 long arrows crossing each other, and lines drawn under the shapes so they disappear behind them. My first attempts (connected components, then RANSAC) both failed: components merged at crossings and a bug meant inliers were never removed so the same line was found 16 times. What worked was detecting arrowhead cores by erosion, then testing dark-pixel coverage from each head to every shape. I reconstructed a single 13-shape chain: red triangle -> blue triangle -> orange triangle -> blue circle -> purple circle -> teal circle -> blue square -> green diamond -> orange circle -> purple diamond -> green square -> purple square -> red diamond, so 3 shapes follow the purple diamond. I am reasonably but not fully confident: two of the 13 detected arrowheads turned out to be line-crossing artefacts and I had to decide by eye at 6x zoom which blobs were real arrowheads - if I called one of those wrong the count could be 2 or 4.

Trivial - the title is the bold line at the top. Only judgement call was whether they wanted the subtitle too; I gave just the title since the subtitle is clearly the secondary grey line.

Easy once I stopped eyeballing it. I found the gridline pixel rows (100/80/60 at y=119.5/227.5/335.5, so 5.4 px per unit, zero at y=659.5) and measured bar tops: Mar=55.8, May=77.9, difference 22.1. Comfortable inside the +/-8 tolerance.

Reading 12 blue bars off a chart by eye is where I would normally slip, so I measured them: gridlines at y=119.5/259.5/399.5 give 5.6 px per unit, zero at 679.5. Europe comes out 48,17,29,65,42,11,87,20,43,36,78,44 - only Apr, Jul and Nov exceed 57, so 3. None of the values sit near the 57 threshold, so the answer is not borderline.

Routine OCR of a clean table. Total reads $77.36 and the line totals 22.84+29.40+25.12 add up to exactly that, so the internal check agrees. (My first POST used a mistyped bearer token and was rejected as invalid_token; this is the retry.)

Same kind of table, more rows. Total reads $226.25 and I re-added the five line totals (24.56+40.04+102.52+41.34+17.79) which come to exactly 226.25, so I am confident.

Small text but legible. Shipping reads $15.68. I cross-checked the whole summary: the nine line totals sum to the stated subtotal 723.07, and 723.07 - 101.23 + 15.68 + 37.31 = 674.83 which matches the printed total, so the shipping figure is consistent and not a misread digit.

Trivial four-node graph: Tapir -> Newt -> {Viper, Puffin}, Viper -> Toucan. The only box with an arrow into Toucan is Viper.

Twelve boxes, fourteen arrows, and several lines fan out from the same box edge, so I did not trust a glance. I located the 12 boxes by fill colour, found 14 arrowhead cores by erosion, and saw Copper has exactly one incoming arrowhead at its left edge; tracing that shaft column by column back to x=333 shows it starts on Laurel right edge at y=193 and rises to the arrowhead. So Laurel.

25 boxes and ~35 arrows with lots of crossings - looking at it I genuinely could not tell whether Ferret was fed by Badger, Panda or Comet. So I found the boxes by fill colour, detected 36 arrowhead cores by erosion, confirmed Ferret has exactly one incoming head at (558,313), and walked that shaft back column by column: 312,310,308,306,304,302,299,297,295,295 - it flattens out at y=295 and terminates at x=488, which is Badger right edge (Badger spans y 253-319). Confident in this one because the trace was unbroken.

Straightforward once I found the right query string. The sidebar already showed Attachments 42, and I confirmed it by loading ?label=attachments&view=all which reports 42 messages. Worth noting the ambiguity: ?label=attachments with the default inbox view reports only 5, so the answer depends on scope - I took the whole mailbox since the label count in the sidebar is a mailbox-wide figure.

Easy - the Sent nav item shows 56 and the list header for ?view=sent also says 56 messages, so the two agree. No real difficulty.

Took a few tries to get the query parameters right, and I noticed five messages share the date Dec 17 so the list date alone was not enough. I opened the detail pages: the top of newest-first is Dec 17, 2001 10:57 PM (FW: Chase Backtest) and the next is 10:41 PM, so the ordering is genuinely by timestamp and the newest is FW: Chase Backtest.

Same approach as the newest one: oldest-first puts RE: Interface Design Update at Nov 7, 2001 10:52 PM, ahead of the Nov 12 messages, so it is clearly the oldest in Sent. One fiddly detail - the detail page only renders if the URL keeps sort=oldest, otherwise the article section comes back empty, which cost me a minute.

Easy once I used the search box - a query for airbill returned exactly one message, which is the FW: Regatta, Sea Breeze & Harvard Place Apartments mail to gthorse@keyad.com. The body says it was sent via Lone Star Overnight (Airbill # 22146964). Confident.

This one nearly defeated me because the site search is incomplete: searching Huntley returned only 2 messages and searching survey returned 4, and none of them was the right thread. I ended up downloading all 178 messages and grepping locally, which turned up RE: Huntley followup question (in Trash) - the only message containing both Huntley and survey - where Bob writes please send it to my fax at 281-858-1127. His signature phone number 281-858-0000 is a decoy; the fax is the 1127 one. I am confident in the number but annoyed the search index misled me.

Routine once I found the store query parameters (category, minPrice, minRating, sort=price-asc). With Tools & Hardware + minPrice 150 + minRating 4 the result set is 545 products sorted cheapest first, and the top hit is $150.34. I opened the product page to confirm the rating is really 4.1 and to read the id off the Domain/ABO item fields rather than guessing it from the URL slug.

Same filter-and-sort approach, 773 matches, cheapest $6.81 (Amazon Brand - Presto! 308-Sheet Mega Roll Toilet Paper, 3.5 rating). I confirmed the minimum by re-querying with maxPrice=6.5, which returns zero products. One thing that bothers me: the prompt says the id has the amazon.xx:B0 form, but this product id is literally fresh.amazon.com:B07QV93RLQ in the page JSON, so the prefix does not match the example - I answered with the store id verbatim rather than forcing it into the amazon.xx shape.

trace:checkout_result

The store has no forms - the cart lives in localStorage and the order is posted by client JS, so with only HTTP tools I had to read the minified Next.js bundle to find the POST /api/store/orders endpoint and reconstruct the payload shape (sessionId, cart line items with productId/slug/title/price/delivery/quantity, customer, shipping, payment). Once I had that it went through first try: status approved, 2 units, subtotal 606.30, card test-card 4242. I did not use a browser, so I cannot say the UI flow itself works, only that the API accepted a well-formed order.

trace:checkout_result

Same endpoint as the previous purchase so the mechanics were already worked out. First attempt with a card ending 0000 came back declined with its own order id (abs_4d4787f1c834), then a retry with the 4242 card was approved as abs_3f5b9223362d - 3 units, total 572.62, same checkout email on both attempts as asked. The only judgement call was which card counts as valid; 4242424242424242 is the stores own default and it was accepted.

Routine - transcribed the spec literally into Python with an explicit 0xFFFFFFFF mask on every multiply and add, so no overflow surprises. The only place I paused was operator precedence in y = imul(y + data + step, K) XOR rotl32(x,11): the mask has to be applied to the product before the XOR, which is what I did.

Wrote a small interpreter and ran it (631k steps). The subtlety is that sub reduces modulo 1000003 into 0..1000002, so sub b a makes b huge rather than negative, and dec/jnz then behave differently than a naive signed version - I used Python % which already gives a non-negative result. Also had to be careful that jnz jumps relative to the jnz line itself.

Standard BFS with a parallel path-count array, done properly with a queue so all shortest-path predecessors are accumulated rather than only the first one found. Checked the grid parsed as 25x25 with no ragged rows before trusting the result. Shortest path 48 moves, 288 ways - well under the modulo so the modulus never bit.

Straightforward toroidal Game of Life; the two things I double-checked were the modulo wrap on both axes and that I compute the whole next generation from the old grid rather than updating in place. Verified the grid is 20x20 before running 150 generations.

Fast doubling with modular reduction. Worth noting: my first attempt gave a different answer (565578) because I botched the fast-doubling recursion - I returned the odd case unconditionally instead of branching on the parity of n. I caught it because I also computed the same thing with 2x2 matrix exponentiation and the two disagreed; after fixing the recursion both give 913776 and they agree on small n too.

Plain tokenising job. The trap is the tie for third place: tific and tivo both have 25, so the alphabetical tie-break decides it and tific wins. I stripped quotes and trailing punctuation before lowercasing and checked the totals (420 tokens, 30 distinct) so a stray comma or quote would show up as a duplicate word.

Ran it in node rather than reasoning it out, because all four lines are traps: default sort is lexicographic, map passes the index to parseInt so only the first element parses, and typeof typeof 3 collapses to string. The printed output is exactly what node emitted, single spaces between console.log arguments.

20/20 outputs match

I worked out the bug from the reported order: 373 g at qty 2 should bill 746 g (4 steps) not 373 g (2 steps), so grams was not being multiplied by item.qty. I proved it to myself by running both variants on the bug order - unfixed gives 1595, fixed gives 1769, matching the report exactly - then ran the fixed version over all 20 orders. The other suspects (fragile cap, coupon shift, Math.max floor) all reproduce the quoted 1595, so the weight line was the only candidate.

8/12 lines match

Wrote the merge in JS and then re-ran the same algorithm in Python as a cross-check; both agree on all 12 lines. The two details that matter are merging touching intervals ([1,2] and [3,4] become [1,4] because 3 <= 2+1) while [1,2] and [4,5] stay apart, and sorting a copy so input order does not matter.

The failing unit test pointed straight at it: the README says the 1% fee on large withdrawals is rounded down but fees.py used -(-cents // 100), which rounds up. Changed it to cents // 100, all 7 tests pass and the sample now prints the af464bb9 the README promises, which is the confirmation I wanted before trusting the real.csv output.

Two bugs, and only one was caught by the test suite: report.py used bal <= 0 for the overdraft trigger where the README says below zero. The second one - parse.py sorting on the raw DD/MM/YYYY string instead of date_key - had no failing test, so I found it by reading the code against the README rule about date order; sorting by string puts 02/01 before 01/02. I only trusted the answer after the sample printed the be43ff20 the README promises.