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Update key_colnames
, revision_summary
#540
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* Make `key_colnames.epi_archive` output epikey-time-version rather than just epikey-time. * Make `key_colnames.data.frame` require `other_keys` be provided. * Remove `key_colnames.default`. * Make `key_colnames` forbid passing `exclude` positionally. * Update downstream `revision_summary`.
* Produce error rather than default selection when user provides a tidyselection in ... but it selects zero columns. * Change time_within_x_latest to take `values` as a vector * Use `.data` instead of `pick` etc. in some places
So it is not misinterpreted as "the amount of time that it has been near the latest".
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and avoid unnecessary `abs()`
to ease epipredict transition.
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Checklist
Please:
PR).
brookslogan, nmdefries.
DESCRIPTION
. Always incrementthe patch version number (the third number), unless you are making a
release PR from dev to main, in which case increment the minor version
number (the second number).
(backwards-incompatible changes to the documented interface) are noted.
Collect the changes under the next release number (e.g. if you are on
1.7.2, then write your changes under the 1.8 heading).
process.
Change explanations for reviewer
key_colnames.epi_archive
output its unique key colnames (including version).key_colnames.data.frame
requireother_keys
to be passed.key_colnames.default
.exclude =
to be passed by name inkey_colnames
.key_colnames
.revision_summary
to use newkey_colnames.epi_archive
.revision_summary
.revision_summary
.epipredict
errorsOriginally, I misread and thought these were from passing
other_keys =
hopefully-redundantly intokey_colnames.epi_df
and having them be ignored. I was planning to do something likeHowever, the error is actually from passing
extra_keys =
(which was also previously ignored, but it sounds like it has a different meaning). I am looking a bit more into this.extra_keys =
other_keys =
instead. If current behavior ofother_keys =
withepi_df
s breaks later, then decide whether to change things here or adjust any offending steps/layers.other_keys =
inkey_colnames.data.frame
should be flagging this, right?Other work
revision_summary()
adjustmentsMagic GitHub syntax to mark associated Issue(s) as resolved when this is merged into the default branch
key_colnames
returns wrong values for archive data #565epi_archive
's compactify doesn't support distributions #541key_colnames.epi_archive
: double-check intention, fix implementation #539