A collection of Conda recipes used internally at Memfault but shared broadly.
The packages can be found on the Anaconda Package Repository
To use any of thesee packages in your own Conda environments, just add memfault to the top of the environment.yml in your project:
channels:
- memfault
- conda-forge
- nodefaultsSince all of these packages are built using Conda Forge's package pinnings (https://github.com/conda-forge/conda-forge-pinning-feedstock/blob/master/recipe/conda_build_config.yaml), using Conda Forge as the base is heavily suggested.
To build any of the following packages (macOS and Linux Ubuntu 18.04 tested):
# Create build environment
$ conda create -n build
$ conda activate build
$ conda install conda-build anaconda-client
# Build specific recipe
$ cd <some_recipe_dir>
$ conda build -c conda-forge .
# Successful build prints an upload command
$ anaconda upload ...
So you don't want to build on your native machine? That's fine!
$ docker run -ti -v <path_to_conda-recipes>:/conda-recipes condaforge/miniforge3 /bin/bash
$ apt update && apt install build-essential
$ conda create -n build conda-build anaconda-client python=3.8
$ conda activate build
$ cd /conda-recipes/<recipe>
$ conda build -c conda-forge .
# Successful build prints an upload command
$ anaconda upload ...
We follow Conda Build's (and Conda Forge's) strategy for building macOS packages.
As noted in the conda_build_config.yaml of each recipe, we use the MacOS 10.9 SDK.
CONDA_BUILD_SYSROOT:
- /opt/MacOSX10.9.sdk # [osx]
To download and install this SDK, you can find the package here: https://github.com/phracker/MacOSX-SDKs/releases
$ sudo mv <10.9 SDK> /opt/MacOSX10.9.sdk
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