dotemacs/tests/test-lorem-optimum.el, branch load-graph-classify-startMy Emacs configuration
https://git.cjennings.net/dotemacs/atom?h=load-graph-classify-start2026-05-11T23:17:22+00:00test: close coverage gaps from the preceding batch2026-05-11T23:17:22+00:00Craig Jenningsc@cjennings.net2026-05-11T23:17:22+00:00urn:sha1:e0e0ecdb86e3ae1772adcedb50e6c9caa210cf17
Untested paths surfaced while reviewing the preceding feature/fix commits:
- calendar-sync: a test that `-L' precedes `-l' in the worker command (separate `member' checks wouldn't catch a swap), plus a `:slow' tag on the real-subprocess worker test so it stays out of the default `make test' run.
- org-capture cache: a killed marker buffer invalidates the entry and the next resolution rescans without erroring on the stale marker, `cj/org-capture-clear-target-cache' actually empties the hash, and non-`file+headline' targets (`file', `file+olp', `file+function') fall through to the original `org-capture-set-target-location'.
- lorem-optimum: `cj/lipsum-title' on an empty chain returns "", not an error.
- calibredb-epub: a negative `cj/nov-margin-percent' is clamped up to 0 (text takes the full window width).
- mu4e attachments: the default save directory comes from the part's `:target-dir' and falls back to `~/Downloads/', and asking for the attachment at point on a header line fails with a `user-error'.
perf(lorem-optimum): speed up the Markov generation path2026-05-11T22:17:54+00:00Craig Jenningsc@cjennings.net2026-05-11T22:17:54+00:00urn:sha1:7f353e925b7dbd6d0c16962e0e822aea0093308b
`cj/markov-join-tokens' collects tokens in a list and `mapconcat's once instead of repeated string concatenation. `cj/markov-generate' uses `push'/`nreverse' instead of repeated `append'. The Markov keys are cached as a vector so random key selection is O(1). Re-enabled the benchmark tests (the `:slow' tags were stale) and added a `cj/lipsum-title' test after byte-compilation flagged a malformed form there. `assets/liber-primus.txt' is left as-is (36 KB / 5,374 words, small enough not to need trimming). 100K-word learning now measures about 196 ms.
Revert "checking in modified/removed tests and other misc changes"2025-11-14T08:35:00+00:00Craig Jenningsc@cjennings.net2025-11-14T08:35:00+00:00urn:sha1:2312e40358a923fe72785af504c9272506d8d58d
This reverts commit 1218bae708a6755e3628f15fef58e6806ac81039.
checking in modified/removed tests and other misc changes2025-11-14T08:31:16+00:00Craig Jenningsc@cjennings.net2025-11-14T08:31:16+00:00urn:sha1:1218bae708a6755e3628f15fef58e6806ac81039feat:text-generation: improve and rename lorem generator2025-10-27T04:56:03+00:00Craig Jenningsc@cjennings.net2025-10-27T04:56:03+00:00urn:sha1:d0b16101cc7c07b2ebcc141be75f0436ae440348
Rename `lorem-generator.el` to `lorem-optimum.el` for fun.
Enhance text tokenization, Markov chain learning, and text
generation functions. Introduce new configuration variables for
training files and improve efficiency with vectorized access. Add
comprehensive benchmarks and unit tests under `tests/`. This
improves performance and lays groundwork for further extensions.