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| author | V3n3RiX <venerix@koprulu.sector> | 2023-09-26 17:28:32 +0100 |
|---|---|---|
| committer | V3n3RiX <venerix@koprulu.sector> | 2023-09-26 17:28:32 +0100 |
| commit | 20c20eb967a638c833aae1462f149894b2dbd811 (patch) | |
| tree | ba631e4b1cf506cc57a49b6e3754f090dd1cee69 /profiles/use.local.desc | |
| parent | 25e2c97a4a6f12a367115508fc86d34fe76a6f5e (diff) | |
gentoo auto-resync : 26:09:2023 - 17:28:31
Diffstat (limited to 'profiles/use.local.desc')
| -rw-r--r-- | profiles/use.local.desc | 1 |
1 files changed, 0 insertions, 1 deletions
diff --git a/profiles/use.local.desc b/profiles/use.local.desc index 84f4ea962e59..298a0ddae0db 100644 --- a/profiles/use.local.desc +++ b/profiles/use.local.desc @@ -2373,7 +2373,6 @@ 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. dev-python/pypy3_10: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_10-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. |