We will be upgrading all GCC
-based compilers to version 9.3.0
on all
platforms. This upgrade will not affect C
or C++
code, but will
require a rebuild of all feedstocks that use FORTRAN
due to a change
in the SONAME
. During this rebuild, we will keep the old compiler
versions in production, temporarily doubling the build matrix. Once the
migration is deemed complete, these old compiler versions will be
removed.
Completed New Staging Process for anaconda.org Uploads
We have now completed rolling out the new staging process for uploads to
anaconda.org. Direct uploads to the conda-forge
channel will no longer
work. If you are having trouble with package uploads, please rerender
your feedstock with the latest version of conda-smithy
. As always, if
you need help, bump us on Gitter or GitHub!
Fixed Maintenance Process for Feedstock Teams
We have fixed a bug where the maintainers of feedstocks listed in the
meta.yaml
did not match those listed in the GitHub team. Due to this
change, you may notice emails from GitHub informing you that you have
been removed from a GitHub team if you have recently removed yourself
from a feedstock via changing the meta.yaml
. A similar fix has been
applied for maintenance teams as well, though you will not see emails
from this fix.
CentOS 7 sysroot Now Available for linux-64 Builds
We are very excited to announce that new compilers based on repackaged
sysroot
's from CentOS 7 are now available for all linux-*
platforms.
These compilers will be the default going forward for any gcc
, gxx
,
and gfortran
versions past 8.4.0
on ppc64le
and 7.5.0
on
x86_64
/aarch64
.
On the linux-64
platform, we have also built the CentOS 6 sysroot
and set it as the default, consistent with our current compilers. To use
the CentOS 7 sysroot
on linux-64
, add a requirement of
sysroot_linux-64 2.17
to the build section of your recipe. You also
need to set the proper Docker image in your conda_build_config.yaml
.
See Using CentOS 7 <centos7>
for details.
NumPy 1.16 is the minimal NumPy version on all platforms
In accordance with
NEP-29, we
have switched to have numpy 1.16
as the minimum supported version on
all platforms.
Strict channel priority in builds for OSX and Linux
We have changed the OSX and Linux platforms to enforce strict channel
priority in package builds. This change means that if a package is
available in the conda-forge channels, the conda
solver will not
consider any versions of the package from other channels. Users can
disable this by setting channel_priority: flexible
in their
conda-forge.yml
.
Conda-forge is building openblas with both pthreads and openmp on Linux
The main change is that openblas
will use pthreads for threading by
default on Linux instead of the previous openmp
default. The openmp
builds can be recovered by installing libopenblas=*=*openmp*
.
Core Dependency Tree Package Changes
conda-forge is moving to a new system for generating Core Dependency Tree (CDT) packages. These changes include:
- CDT packages will no longer be built using feedstocks and this practice is officially deprecated.
- Any current CDT packages in feedstocks will be moved to the new conda-forge/cdt-builds repo and the feedstock will be archived. Members of core will be doing this slowly on an as-needed basis, so it may not happen right away.
- Requests for new CDTs should be submitted as PRs to the conda-forge/cdt-builds repo.
These changes are being made so that conda-forge can provide access to
CentOS 7 / glibc 2.17 for linux-64
builds. They will also move more of
the packages needed for conda-forge builds into the conda-forge channels
making builds more reliable.
Moving from clang 9 to clang 10
conda-forge is moving to clang 10 on macOS! Check the release notes for what is new, breaking, or deprecated.
CFEP-18: Removing static libraries from the main build
With CFEP-18
we now have a policy on how to deal with static packages. The most
important change here is that we will be removing static libraries from
the main packages and moving them to -static
suffixed packages.
-static
packages will not be built by default but only on request.