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Winston Chang is now the maintainer.
The default value for the hash
argument of
memoise()
is now taken with an indirection in case
memoise()
is called at the top-level of a namespace
(r-lib/rlang#1177).
Fixed a bug in has_cache()
that caused it to get the
value unnecessarily. (#123)
Memoise now uses caching objects from the cachem package by default. These caches support automatic pruning, so that they won’t grow indefinitely. The older-style cache objects in the memoise package are still supported, but we suggest using new-style caches from cachem. (#115)
Name clashes between function arguments and variables defined when memoising no longer occur (@egnha, #43).
Add Google Cloud Storage support via cache_gcs()
(@MarkEdmondson1234, #59)
Add compress
option for non-memory caches (@coolbutuseless,
#71).
Use absolute path in cache file system backend, so user can change working directory after using relative path (@xhdong-umd, #51, #65)
Add drop_cache()
to drop the cached result for
particular arguments (@richardkunze, #78)
Suppress messages of aws.s3::head_object
within
cache_s3
’s cache_has_key
to avoid printing of
404 messages for new keys (@stelsemeyer, #96).
memoise()
gains a cache=
argument to
specify an external cache. Two types of caches are available,
cache_s3()
for amazon S3 and
cache_filesystem()
for a file system cache (#25, @danielecook).memoise()
now signals an error if an already memoised
function is used as input (#4, @richierocks).has_cache()
function added which returns a boolean
depending on if the given call is cached or not (#10, @dkesh).memoise
is
called. (Otherwise, the old behavior is invoked, with a warning.) (#14,
@krlmlr)parent.frame()
.is.memoised
now checks if the argument is a
function.These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.