Mistral vibe

Simple letter counting; counted the r characters directly in the string. Routine.

Trivial decimal comparison. 1.95 is larger than 1.6 because the tenths digit decides it.

Left-to-right evaluation as instructed; verified by computing it both mentally and in code. 24-15=9, 9*8=72, 72/4=18, +4 = 22.

Two chained conversions: 6 kg -> 6000 g, then 6000 km -> 6000000 m. Easy, the two-step framing is the only trick.

Formatting instruction following: two keys in order, answer as string, checksum as number (5+0+8+6=19). Straightforward.

Trivial addition, 4 + 0 = 4.

Simple addition: 166 + 560 = 726. Routine.

Integer expression with negative numbers; computed mentally and verified in code: (-18*25) + 12 - 27 = -465. No ambiguity in precedence here since it is fully parenthesized.

4x4 determinant with mixed signs; I computed it by cofactor expansion by hand and then verified with a small recursive determinant implementation in code to guard against sign slips. Both gave 5838.

expected NJZU2, got "N17U2"

I have no vision capability as a text-only agent, but the image was fetchable, so I did OCR programmatically: extracted the glyph bitmaps with PIL/numpy, rendered them as ASCII art, and read the row-4 group-3 glyphs by shape (N, 1, 7, U, 2). Calibrated by first reading the large row-1 glyphs (E, B) to confirm the render was legible. Fairly confident, though small-glyph shapes like N vs H could in principle be confused.

expected HRS8M, got "HRS8X"

Same programmatic OCR approach as the previous eye chart: rendered the glyphs as grayscale ASCII art. At ~10px the B/8/R distinction is genuinely tricky; I distinguished R from 8 by the flat top bar flush with the left stem and the missing bottom closure (open diagonal leg), and confirmed the neighbouring 8 by its closed loops and centred top. H, S and X were unambiguous. Moderate confidence on the R.

expected TVCDR, got "TYCDR"

~7px glyphs. T, Y, C, D were readable from the grayscale ASCII art. The fifth glyph was ambiguous (A vs R vs 4), so I ran a template matcher against 36 candidates rendered in several system fonts at matching size; R won clearly (IoU 0.60 vs 0.57 next). Still the least certain read so far.

expected ZKT5Z, got "ZKTSZ"

Hardest eye chart (6px glyphs). Z, T were clear from structure. K was confirmed by template matching (IoU 0.61, next best M at 0.60 - close, but the K structure of stem plus converging arms fits better). The S-vs-5 glyph was genuinely ambiguous, so I cross-checked by downscaling a confirmed S from another chart (same font family): IoU 0.69 vs 0.52 for alternatives. Chose S. The two Zs were unambiguous. Still not fully certain on K.

Counted programmatically: thresholded the exact red colour, found connected components, and verified each is a diamond by bounding-box fill ratio 0.51 (diamond = 0.5, circle = 0.785). Four components, all identical size. High confidence.

expected 12, got "11"

Colour-threshold plus connected components gave 19 blue shapes total; classified each by bounding-box fill ratio (circles 0.77, diamonds 0.51, square 1.00). Counted 11 circles. Clean and deterministic, high confidence.

expected 40, got "42"

53 teal shapes total, classified by fill ratio: 42 diamonds, 6 squares, 5 circles. Counting is fully deterministic with code; no risk of human miscount. High confidence. Note the diamonds are smaller (42px) than circles/squares (44px), which made fill-ratio classification slightly more careful but still unambiguous.

Detected the 5x5 grid from the slate-coloured grid lines, located the single red component, confirmed it is a circle by fill ratio, and mapped its bounding box to the cell index. Fully deterministic. High confidence.

Located the single orange square by colour+shape, found the 7 dark arrow components, and used a width profile along each arrow to tell tail from arrowhead (the arrowhead end is 6x wider). The arrow leaving the orange square starts at (1056,561) and its head lands at (905,1012), inside the blue circle. Clean geometric reasoning, high confidence.

By far the hardest vision item. Arrows occlude each other and pass behind shapes, so connected-component analysis splits shafts into fragments. I used RANSAC line fitting to recover full shafts, verified collinearity numerically (two fragments matched to 0.0px), and inspected junctions pixel-by-pixel to tell which arrowhead belongs to which shaft. The chain is blue square -> teal square -> red circle -> red diamond -> teal diamond -> blue circle -> red diamond -> green diamond -> green diamond -> green circle, which has no outgoing arrow: 9 shapes after the start. The trickiest call was an arrowhead drawn on top of another shaft, which fakes a gap, and a line passing behind the green circle that could have been misread as attaching to it. Reasonably but not fully confident.

Parsed the bar chart programmatically: located the five blue bars, read the y-axis gridline labels (50/40/.../10/0, 10 units per 100px) by rendering the label glyphs as ASCII art, and confirmed the month order (Jan-May) from the x-axis labels. Apr is the 4th bar with its top at y=480 against a zero baseline at y=619, giving (619-480)/10 = 13.9. I answered 14. Confidence high; the only subtlety was misreading a 5 as an 8 on first pass, which I caught and corrected.

OCR by pixel analysis: isolated the title text line, segmented glyphs, and rendered each as ASCII art to identify letters (the bold font made p/y and r+t merges tricky; I separated them by descender and crossbar structure). Title reads Support Tickets Opened. High confidence on every letter, though I spent a while convincing myself the second letter of Opened was p, not y.

Found the legend below the chart, read both labels by glyph OCR (blue = Europe, orange = Americas), extracted the 12 orange bar tops, and calibrated the y-axis from the gridline labels (0 at y679, 100 at y119.5, linear). Americas monthly values came out about 81, 56, 84, 59, 42, 49, 24, 70, 86, 23, 29, 48 - nine of twelve exceed 36. Comfortable with this one; the fiddly part was locating the legend below the plot rather than beside the title.

OCR by rendering glyphs as ASCII art: the cart panel is the right-hand column with three item rows (unit prices 22.08, 25.73, 7.86 and line amounts 66.24, 25.73, presumably 15.78) and a large bold total at bottom right reading $107.75. Cross-checked arithmetically: 66.24 + 25.73 + 2*7.86 = 107.75 exactly, so the total is consistent with the itemized rows. High confidence.

Read the large bold bottom-right amount glyph by glyph as ASCII art: $290.53. To guard against digit errors (I initially misread a 2 as a 7 in one row), I also read all five itemized line totals ($139.29, $37.05, $49.92, $32.99, $31.28) and their sum matches 290.53 exactly, so the reading is internally consistent. High confidence.

Found the order summary rows below the item table, read the labels glyph by glyph (Subtotal, Discount, then shipping and tax rows), and read the Discount amount as -$78.78. The last digit was ambiguous between 3 and 8 at 12px, so I verified three ways: it is exactly 10% of the subtotal ($787.79), and Subtotal 787.79 - Discount 78.78 + Shipping 11.20 + Tax 49.63 = Total 769.84, which matches the big total I read independently. The arithmetic closing exactly makes me confident the digits are right.

Located the six lavender boxes, read each label glyph-by-glyph (Giraffe, Hyena, Lemon, Vulture, another, Gibbon), extracted the five dark arrow components outside the boxes, and identified the one whose arrowhead lands on Gibbon's left edge - it starts at the Vulture box. Arrow direction was determined from the arrowhead triangle geometry. Confident.

Read all 12 box labels glyph-by-glyph (Celery, Aspen, Pepper, Glacier, Lemur, Melon, Silver, Iguana, and a few others), found Melon's outgoing stub on its right edge, and traced the shaft up-right through a region where several arrows cross. The shaft ends in a solid arrowhead whose tip points at Glacier's left edge; I verified collinearity of the tail-shaft-head path to make sure I followed the right line among the crossings. Answer: Glacier. Reasonably confident, though this diagram has multiple crossing arrows that made tracing harder than diagram-simple.

23 boxes. I read all labels by building a glyph template library from the earlier diagram (whose labels I had verified) and classifying by tolerant IoU, resolving the uncertain ones by eye as ASCII art. Identified Rocket at x730-846 y481-518. Found the arrowhead entering Rocket's top edge, traced its shaft up-right (slope about -2.2) through a busy crossing region to a vertical tail stub attached to Vulture's bottom edge. Verified collinearity of tail-shaft-head. Answer: Vulture. The label OCR was the slow part; the arrow trace itself was clean.

The mailbox is a server-rendered Next.js app, so plain HTTP GETs suffice. The sidebar folder list shows Sent with a count of 56. Trivial once I confirmed the HTML was fetchable without JS.

Counted two ways: the app's own filter (sent view + attachments label) lists 17 messages on a single page; opening all 56 sent messages individually, 14 have separate attachment file tiles and 3 more contain 'Inline attachment follows' attachments in the body, which the app also labels as attachments. I answered 17 to match the app's own notion of has-attachments. The one judgment call is whether the 3 inline-only messages count; the app says yes.

Collected all 24 inbox message ids (single page), fetched each message page, parsed the folder+timestamp label and subject from the detail header, sorted by full date-time. Oldest is DRAFT- TAP Power Outage, Apr 24 2001 5:46 PM. Straightforward scraping; the only fiddle was finding where the real subject lives (the first h2 on the page is a constant sidebar heading, so I used the detail h1).

Fetched all 56 sent messages across 3 list pages (note: messages on later pages require the page param in the URL or the app 404s - that tripped me up once), parsed each detail page's timestamp and subject, sorted. Oldest is RE: Interface Design Update, Nov 7 2001 10:52 PM. Confident.

Used the app's search (q parameter, searching all mail) to find the single message with subject FW: Zero Option, opened it, and found the line 'Outstanding bill for $27,740 will hit Enron Q1, 2002'. Answer 27740. Easy once I noticed the search form in the sidebar HTML.

Searched 'Deferred Phantom' across all mail - exactly one hit, Renee's reply to Phillip. The body says 'We will be distributing the shares reflected on your 9/30/01 statement (6,606 shares plus cash for fractional shares)'. Answer 6606. Clean.

The store supports category, minPrice, minRating and sort=price-asc query params. Querying grocery-and-gourmet with minPrice=25, minRating=3.8, sorted by price ascending puts 365 Everyday Value Rippled Potato Chips ($25.20, rating 3.8) first. I verified the rating filter genuinely applies (with minRating=3.5 a $25.76 item rated 3.7 appears; with 3.8 it is excluded). Product id amazon.com:B07TDN7LJ6.

Same approach: tools-and-hardware, minPrice=300, minRating=4.8, sort=price-asc. First result is the AmazonBasics Modern Handle Set and Deadbolt door lever at $306.09 with rating 4.9; all listed ratings are >= 4.8 so the filter is applying. Product id amazon.co.uk:B07GXRCN59.

trace:checkout_result

The store is a Next.js app with a client-side (localStorage) cart and a JSON API at /api/store/orders. I reconstructed the exact checkout payload shape from the JS bundle (sessionId, cart items with productId/slug/title/price/image/delivery/quantity, customer, shipping, payment), used the checkout form's own default test card 4242424242424242 exp 12/30 cvc 123, and posted 1 unit of the cornhole set with the required email. Response: approved, order abs_8c30be47cb64; the order page renders and confirms it.

trace:checkout_result

Two checkout attempts through the same /api/store/orders endpoint with the required email: first with card 4000000000000000 (ends 0000) - declined as expected (order abs_9a427fe0e68a, status declined); then retried with the valid test card 4242424242424242 - approved, order abs_2c91ed8b3284. Answer is the approved order id.

Direct transcription of the spec into Python with explicit mod 2^32 at each step, 25000 rounds. Note the sequential dependency: y's update uses the new x, and x's final add uses the new y - the spec's ordering is unambiguous. Routine.

Straightforward interpreter: registers mod 1000003 after add/sub/mul, jnz with relative (negative) jumps. The program is a nested loop; about 695k instructions total, a fraction of a second. Final a = 165112.

BFS for distance plus path-count accumulation: when a cell is first reached set count from one predecessor, on later equal-distance arrivals add counts mod 1e9+7. The grid is exactly 25x25. Shortest path 48 (equal to the Manhattan distance, so walls did not force a detour), 936360 distinct shortest paths.

Straightforward toroidal Life simulation, 150 generations, all 20x20 rows confirmed well-formed. Standard rule check per cell with wrapped 8-neighbour counts. Result 26 live cells, weighted sum (row*20+col) 6543.

Fast-doubling Fibonacci mod 999983 for n ~ 3.26e15; also verified independently with 2x2 matrix exponentiation (and a small F(10)=55 sanity check) - both give 42. High confidence, mildly amused by the round number.

Split on whitespace, strip all non-alphanumerics from each token, lowercase, count. 420 tokens total; the top of the distribution is trulu 34, quibas 32, vozan 25 - a clear gap to the next (trumo 24), so no tie-break worry. Routine.

Ran it in node rather than tracing by hand - the interesting bits are Math.round(-2.5) giving -2, var-capture making all four closures see i=4 (v2=80), and -26 % 2 producing -0 which joins as '0'. Output: 4,-2,0 80 889 object/function/string.

20/20 outputs match

The bug is in the weight accumulation: grams += item.grams ignores item.qty, so multi-quantity items are undercharged steps. With qty accounted for, the bug-report order goes from 1997 to exactly 3390 (steps 3 -> 10), confirming the fix. Ran the fixed function in node on all 20 orders; spot-checked three by hand (zone lookup, free-base waiver, fragile surcharge) and they match.

11/12 lines match

Classic sort-then-sweep merge: sort by start, extend the last interval when the next start <= current end (so touching merges), start a new one otherwise. The empty input yields []. All 12 cases computed and sanity-checked against the stated touching rule.

The project ships with unit tests; one failed, pinpointing the bug immediately: withdrawal_fee used the negated-floor trick (-(-cents // 100)), i.e. ceiling division, where the README specifies 1% rounded down. Changed to cents // 100. After the fix all 7 tests pass and the sample CSV produces the README's documented checksum 5432803a, so the fix is validated end-to-end. real.csv prints 0127f3ea.

Two bugs: the same ceiling-division fee bug as the previous project (fixed to cents // 100, caught by the failing unit test), and a subtler one the tests do not cover - parse.py sorted same-date transactions by amount, violating the README rule that same-date transactions keep file order; I changed the sort key to date only (stable sort). After both fixes all tests pass and the sample CSV prints the README's documented b8c8960b, validating the fixes. real.csv prints 920f5e09.