Turn a long livestream transcript into one ordered learning page with the corrected key points

# Turn a long livestream transcript into one ordered learning page Input: `transcript.txt`, a synthetic transcript of a pottery livestream. Each line is `[time] SPEAKER: text`; time is `m:ss` or `mm:ss` in the first hour and `h:mm:ss` after. HOST is the presenter; `chat @name` lines are viewers. Rules: - A topic is introduced by a HOST line "Let's talk about <Topic>."; its start is the first such line, written hh:mm:ss. - A key point is a HOST line "Key point on <Topic>: <name> is <value>." (value is the text up to the final full stop). Later HOST corrections replace the value: "Correction: <name> is <new>, not <old>." or "Correction on <name>: it's <new>." - Ignore viewer chat lines, and everything from a HOST line starting "Quick word from our sponsor" through the next HOST line "Okay, back to it." (that line included). - Order: a HOST line "Before <B>, you need <A>." means A comes before B. Put topics in an order that respects every such line; when several topics could come next, take the one that started earliest. - Write `out/learning.json`: `{"order": [<topic>, ...], "starts": {"<topic>": "hh:mm:ss", ...}, "points": {"<topic>": {"<name>": "<value>", ...}, ...}}`. - Write `out/learning.md`: for each topic in order, a line `## <Topic> (hh:mm:ss)`, then one line `- <name>: <value>` per key point in the order the points were first stated. ## How this run works - Work on your own: nobody will answer questions in this task, and writing to `ask/` counts against the run. - Write only under `out/`. Create `out/` if it is missing. Inputs are synthetic; don't fetch anything from the network. - Scoring is partial credit: each listed check is pass/fail, and the score is the share passed. Numbers are compared to within 0.005 unless the task says otherwise.