diff --git a/.azure-pipelines/azure-pipelines-linux.yml b/.azure-pipelines/azure-pipelines-linux.yml index cf605a5..2893a15 100755 --- a/.azure-pipelines/azure-pipelines-linux.yml +++ b/.azure-pipelines/azure-pipelines-linux.yml @@ -19,11 +19,6 @@ jobs: timeoutInMinutes: 360 steps: - - script: | - rm -rf /opt/ghc - df -h - displayName: Manage disk space - # configure qemu binfmt-misc running. This allows us to run docker containers # embedded qemu-static - script: | @@ -34,6 +29,9 @@ jobs: - script: | export CI=azure + export flow_run_id=azure_$(Build.BuildNumber).$(System.JobAttempt) + export remote_url=$(Build.Repository.Uri) + export sha=$(Build.SourceVersion) export GIT_BRANCH=$BUILD_SOURCEBRANCHNAME export FEEDSTOCK_NAME=$(basename ${BUILD_REPOSITORY_NAME}) if [[ "${BUILD_REASON:-}" == "PullRequest" ]]; then diff --git a/.ci_support/migrations/r_base43.yaml b/.ci_support/migrations/r_base43.yaml deleted file mode 100644 index ec19ef3..0000000 --- a/.ci_support/migrations/r_base43.yaml +++ /dev/null @@ -1,17 +0,0 @@ -migrator_ts: 1682187595 -__migrator: - kind: version - migration_number: 1 - bump_number: 1 - operation: key_add - commit_message: "Rebuild for r-base 4.3" - primary_key: r_base - automerge: True - longterm: True - include_noarch: True - pr_limit: 40 - conda_forge_yml_patches: - provider.win_64: win_disabled - -r_base: - - 4.3 # [not win] diff --git a/.scripts/build_steps.sh b/.scripts/build_steps.sh index 595f8b5..ab7bc8f 100755 --- a/.scripts/build_steps.sh +++ b/.scripts/build_steps.sh @@ -28,14 +28,15 @@ conda-build: pkgs_dirs: - ${FEEDSTOCK_ROOT}/build_artifacts/pkg_cache - /opt/conda/pkgs +solver: libmamba CONDARC +export CONDA_LIBMAMBA_SOLVER_NO_CHANNELS_FROM_INSTALLED=1 - -mamba install --update-specs --yes --quiet --channel conda-forge \ - conda-build pip boa conda-forge-ci-setup=3 -mamba update --update-specs --yes --quiet --channel conda-forge \ - conda-build pip boa conda-forge-ci-setup=3 +mamba install --update-specs --yes --quiet --channel conda-forge --strict-channel-priority \ + pip mamba conda-build conda-forge-ci-setup=4 +mamba update --update-specs --yes --quiet --channel conda-forge --strict-channel-priority \ + pip mamba conda-build conda-forge-ci-setup=4 # set up the condarc setup_conda_rc "${FEEDSTOCK_ROOT}" "${RECIPE_ROOT}" "${CONFIG_FILE}" @@ -53,6 +54,12 @@ if [[ -f "${FEEDSTOCK_ROOT}/LICENSE.txt" ]]; then cp "${FEEDSTOCK_ROOT}/LICENSE.txt" "${RECIPE_ROOT}/recipe-scripts-license.txt" fi +if [[ "${sha:-}" == "" ]]; then + pushd ${FEEDSTOCK_ROOT} + sha=$(git rev-parse HEAD) + popd +fi + if [[ "${BUILD_WITH_CONDA_DEBUG:-0}" == 1 ]]; then if [[ "x${BUILD_OUTPUT_ID:-}" != "x" ]]; then EXTRA_CB_OPTIONS="${EXTRA_CB_OPTIONS:-} --output-id ${BUILD_OUTPUT_ID}" @@ -64,9 +71,10 @@ if [[ "${BUILD_WITH_CONDA_DEBUG:-0}" == 1 ]]; then # Drop into an interactive shell /bin/bash else - conda mambabuild "${RECIPE_ROOT}" -m "${CI_SUPPORT}/${CONFIG}.yaml" \ + conda build "${RECIPE_ROOT}" -m "${CI_SUPPORT}/${CONFIG}.yaml" \ --suppress-variables ${EXTRA_CB_OPTIONS:-} \ - --clobber-file "${CI_SUPPORT}/clobber_${CONFIG}.yaml" + --clobber-file "${CI_SUPPORT}/clobber_${CONFIG}.yaml" \ + --extra-meta flow_run_id="${flow_run_id:-}" remote_url="${remote_url:-}" sha="${sha:-}" ( startgroup "Validating outputs" ) 2> /dev/null validate_recipe_outputs "${FEEDSTOCK_NAME}" diff --git a/.scripts/logging_utils.sh b/.scripts/logging_utils.sh index 57bc95c..aff009f 100644 --- a/.scripts/logging_utils.sh +++ b/.scripts/logging_utils.sh @@ -12,7 +12,7 @@ function startgroup { echo "##[group]$1";; travis ) echo "$1" - echo -en 'travis_fold:start:'"${1// /}"'\\r';; + echo -en 'travis_fold:start:'"${1// /}"'\r';; github_actions ) echo "::group::$1";; * ) @@ -28,7 +28,7 @@ function endgroup { azure ) echo "##[endgroup]";; travis ) - echo -en 'travis_fold:end:'"${1// /}"'\\r';; + echo -en 'travis_fold:end:'"${1// /}"'\r';; github_actions ) echo "::endgroup::";; esac diff --git a/.scripts/run_docker_build.sh b/.scripts/run_docker_build.sh index 9236239..b70ef01 100755 --- a/.scripts/run_docker_build.sh +++ b/.scripts/run_docker_build.sh @@ -91,6 +91,9 @@ docker run ${DOCKER_RUN_ARGS} \ -e CPU_COUNT \ -e BUILD_WITH_CONDA_DEBUG \ -e BUILD_OUTPUT_ID \ + -e flow_run_id \ + -e remote_url \ + -e sha \ -e BINSTAR_TOKEN \ -e FEEDSTOCK_TOKEN \ -e STAGING_BINSTAR_TOKEN \ diff --git a/README.md b/README.md index 2538e93..f2df3e3 100644 --- a/README.md +++ b/README.md @@ -95,7 +95,7 @@ available continuous integration services. Thanks to the awesome service provide [CircleCI](https://circleci.com/), [AppVeyor](https://www.appveyor.com/), [Drone](https://cloud.drone.io/welcome), and [TravisCI](https://travis-ci.com/) it is possible to build and upload installable packages to the -[conda-forge](https://anaconda.org/conda-forge) [Anaconda-Cloud](https://anaconda.org/) +[conda-forge](https://anaconda.org/conda-forge) [anaconda.org](https://anaconda.org/) channel for Linux, Windows and OSX respectively. To manage the continuous integration and simplify feedstock maintenance diff --git a/recipe/meta.yaml b/recipe/meta.yaml index 288eeb8..768b923 100644 --- a/recipe/meta.yaml +++ b/recipe/meta.yaml @@ -1,4 +1,4 @@ -{% set version = "0.5.6" %} +{% set version = "0.5.7" %} {% set posix = 'm2-' if win else '' %} {% set native = 'm2w64-' if win else '' %} @@ -10,11 +10,11 @@ source: url: - {{ cran_mirror }}/src/contrib/mlr3learners_{{ version }}.tar.gz - {{ cran_mirror }}/src/contrib/Archive/mlr3learners/mlr3learners_{{ version }}.tar.gz - sha256: a24a2d9d66c16b7ee86ba019cd2b9e600b11bedf49b0cac7f1ee0acab0d417d4 + sha256: 0ff114a6d44e1712f94eec1cba121932c9cd52ef3aa0451a67ae0b8501288e50 build: merge_build_host: true # [win] - number: 1 + number: 0 noarch: generic rpaths: - lib/R/lib/ @@ -47,8 +47,8 @@ test: about: home: https://mlr3learners.mlr-org.com, https://github.com/mlr-org/mlr3learners license: LGPL-3.0-only - summary: "Recommended Learners for 'mlr3'. Extends 'mlr3' and 'mlr3proba' with interfaces to essential machine learning packages on CRAN. This includes, but is not limited to: (penalized) linear and logistic regression, linear and quadratic discriminant analysis, k-nearest neighbors, naive Bayes, support vector machines,\ - \ and gradient boosting." + summary: "Recommended Learners for 'mlr3'. Extends 'mlr3' and 'mlr3proba' with interfaces to essential machine learning packages on CRAN. This includes, but is not limited to: (penalized) linear and logistic regression, linear and quadratic discriminant analysis, k-nearest neighbors, naive Bayes, support vector machines, + and gradient boosting." license_family: LGPL license_file: - {{ environ["PREFIX"] }}/lib/R/share/licenses/LGPL-3