summaryrefslogtreecommitdiff
path: root/profiles
diff options
context:
space:
mode:
authorV3n3RiX <venerix@koprulu.sector>2022-08-11 02:19:03 +0100
committerV3n3RiX <venerix@koprulu.sector>2022-08-11 02:19:03 +0100
commit995884416efaa899e9abe8d5c6899570e518b84b (patch)
treeb80d7fe7cc1e5e48e899d459fa62594665af4eb5 /profiles
parentf1cd8f3514f8b9fbc1cc9cfe0dd08a8cb258e87a (diff)
gentoo auto-resync : 11:08:2022 - 02:19:03
Diffstat (limited to 'profiles')
-rw-r--r--profiles/Manifest.gzbin148272 -> 148271 bytes
-rw-r--r--profiles/use.local.desc1
2 files changed, 1 insertions, 0 deletions
diff --git a/profiles/Manifest.gz b/profiles/Manifest.gz
index 94862b487679..2a8b0a9999da 100644
--- a/profiles/Manifest.gz
+++ b/profiles/Manifest.gz
Binary files differ
diff --git a/profiles/use.local.desc b/profiles/use.local.desc
index db363c686ffc..b133d15043c2 100644
--- a/profiles/use.local.desc
+++ b/profiles/use.local.desc
@@ -2463,6 +2463,7 @@ dev-python/pyocr:cuneiform - Enable support for the app-text/cuneiform OCR engin
dev-python/pyocr:tesseract - Enable support for the app-text/tesseract OCR engine
dev-python/pypax:ptpax - Enable PT_PAX_FLAGS support.
dev-python/pypax:xtpax - Enable XATTR_PAX_FLAGS support.
+dev-python/pypy:full-stdlib - Install complete stdlib as necessary to use PyPy for general purpose programs. By default, only a limited subset that is used when building dev-python/pypy3-exe is installed. Note that PyPy2.7's stdlib contains multiple known vulnerabilities.
dev-python/pypy-exe:low-memory - Build using PyPy with the engine configured towards low memory footprint. This makes it possible to build PyPy using ~3.5G of RAM on amd64 and ~half of that on x86, at the cost of lengthened build time.
dev-python/pypy3:ensurepip - Install the ensurepip module that uses bundled wheels to bootstrap pip and setuptools (if disabled, it will be only possible to use venv `--without-pip`)
dev-python/pypy3-exe:low-memory - Build using PyPy with the engine configured towards low memory footprint. This makes it possible to build PyPy using ~3.5G of RAM on amd64 and ~half of that on x86, at the cost of lengthened build time.