Upgrade to Conda Build 3 (finally) and Move to Azure DevOps

.azure-pipelines/azure-pipelines-linux.yml

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+jobs:
+- job: linux
+  pool:
+    vmImage: ubuntu-16.04
+#  timeoutInMinutes: 360
+  strategy:
+    maxParallel: 8
+    matrix:
+      linux_python3.6:
+        CONFIG: python3.6
+        DOCKER_IMAGE: condaforge/linux-anvil-comp7
+        EXCLUDE_JINJA: CUDA_SHORT_VERSION
+      linux_python3.7:
+        CONFIG: python3.7
+        DOCKER_IMAGE: condaforge/linux-anvil-comp7
+        EXCLUDE_JINJA: CUDA_SHORT_VERSION
+      linux_python3.8:
+        CONFIG: python3.8
+        DOCKER_IMAGE: condaforge/linux-anvil-comp7
+        EXCLUDE_JINJA: CUDA_SHORT_VERSION
+
+      linux_python3.6_cuda8.0:
+        CONFIG: python3.6_cuda8.0
+        DOCKER_IMAGE: "omniamd/omnia-linux-anvil:condaforge-texlive19-cuda80"
+        INCLUDE_JINJA: CUDA_SHORT_VERSION
+      linux_python3.6_cuda9.0:
+        CONFIG: python3.6_cuda9.0
+        DOCKER_IMAGE: "omniamd/omnia-linux-anvil:condaforge-texlive19-cuda90"
+        INCLUDE_JINJA: CUDA_SHORT_VERSION
+      linux_python3.6_cuda9.1:
+        CONFIG: python3.6_cuda9.1
+        DOCKER_IMAGE: "omniamd/omnia-linux-anvil:condaforge-texlive19-cuda91"
+        INCLUDE_JINJA: CUDA_SHORT_VERSION
+      linux_python3.6_cuda9.2:
+        CONFIG: python3.6_cuda9.2
+        DOCKER_IMAGE: "omniamd/omnia-linux-anvil:condaforge-texlive19-cuda92"
+        INCLUDE_JINJA: CUDA_SHORT_VERSION
+      linux_python3.6_cuda10.0:
+        CONFIG: python3.6_cuda10.0
+        DOCKER_IMAGE: "omniamd/omnia-linux-anvil:condaforge-texlive19-cuda100"
+        INCLUDE_JINJA: CUDA_SHORT_VERSION
+      linux_python3.6_cuda10.1:
+        CONFIG: python3.6_cuda10.1
+        DOCKER_IMAGE: "omniamd/omnia-linux-anvil:condaforge-texlive19-cuda101"
+        INCLUDE_JINJA: CUDA_SHORT_VERSION
+      linux_python3.6_cuda10.2:
+        CONFIG: python3.6_cuda10.2
+        DOCKER_IMAGE: "omniamd/omnia-linux-anvil:condaforge-texlive19-cuda102"
+        INCLUDE_JINJA: CUDA_SHORT_VERSION
+
+      linux_python3.7_cuda8.0:
+        CONFIG: python3.7_cuda8.0
+        DOCKER_IMAGE: "omniamd/omnia-linux-anvil:condaforge-texlive19-cuda80"
+        INCLUDE_JINJA: CUDA_SHORT_VERSION
+      linux_python3.7_cuda9.0:
+        CONFIG: python3.7_cuda9.0
+        DOCKER_IMAGE: "omniamd/omnia-linux-anvil:condaforge-texlive19-cuda90"
+        INCLUDE_JINJA: CUDA_SHORT_VERSION
+      linux_python3.7_cuda9.1:
+        CONFIG: python3.7_cuda9.1
+        DOCKER_IMAGE: "omniamd/omnia-linux-anvil:condaforge-texlive19-cuda91"
+        INCLUDE_JINJA: CUDA_SHORT_VERSION
+      linux_python3.7_cuda9.2:
+        CONFIG: python3.7_cuda9.2
+        DOCKER_IMAGE: "omniamd/omnia-linux-anvil:condaforge-texlive19-cuda92"
+        INCLUDE_JINJA: CUDA_SHORT_VERSION
+      linux_python3.7_cuda10.0:
+        CONFIG: python3.7_cuda10.0
+        DOCKER_IMAGE: "omniamd/omnia-linux-anvil:condaforge-texlive19-cuda100"
+        INCLUDE_JINJA: CUDA_SHORT_VERSION
+      linux_python3.7_cuda10.1:
+        CONFIG: python3.7_cuda10.1
+        DOCKER_IMAGE: "omniamd/omnia-linux-anvil:condaforge-texlive19-cuda101"
+        INCLUDE_JINJA: CUDA_SHORT_VERSION
+      linux_python3.7_cuda10.2:
+        CONFIG: python3.7_cuda10.2
+        DOCKER_IMAGE: "omniamd/omnia-linux-anvil:condaforge-texlive19-cuda102"
+        INCLUDE_JINJA: CUDA_SHORT_VERSION
+
+      linux_python3.8_cuda8.0:
+        CONFIG: python3.8_cuda8.0
+        DOCKER_IMAGE: "omniamd/omnia-linux-anvil:condaforge-texlive19-cuda80"
+        INCLUDE_JINJA: CUDA_SHORT_VERSION
+      linux_python3.8_cuda9.0:
+        CONFIG: python3.8_cuda9.0
+        DOCKER_IMAGE: "omniamd/omnia-linux-anvil:condaforge-texlive19-cuda90"
+        INCLUDE_JINJA: CUDA_SHORT_VERSION
+      linux_python3.8_cuda9.1:
+        CONFIG: python3.8_cuda9.1
+        DOCKER_IMAGE: "omniamd/omnia-linux-anvil:condaforge-texlive19-cuda91"
+        INCLUDE_JINJA: CUDA_SHORT_VERSION
+      linux_python3.8_cuda9.2:
+        CONFIG: python3.8_cuda9.2
+        DOCKER_IMAGE: "omniamd/omnia-linux-anvil:condaforge-texlive19-cuda92"
+        INCLUDE_JINJA: CUDA_SHORT_VERSION
+      linux_python3.8_cuda10.0:
+        CONFIG: python3.8_cuda10.0
+        DOCKER_IMAGE: "omniamd/omnia-linux-anvil:condaforge-texlive19-cuda100"
+        INCLUDE_JINJA: CUDA_SHORT_VERSION
+      linux_python3.8_cuda10.1:
+        CONFIG: python3.8_cuda10.1
+        DOCKER_IMAGE: "omniamd/omnia-linux-anvil:condaforge-texlive19-cuda101"
+        INCLUDE_JINJA: CUDA_SHORT_VERSION
+      linux_python3.8_cuda10.2:
+        CONFIG: python3.8_cuda10.2
+        DOCKER_IMAGE: "omniamd/omnia-linux-anvil:condaforge-texlive19-cuda102"
+        INCLUDE_JINJA: CUDA_SHORT_VERSION
+
+  steps:
+    - script: |
+        echo "##vso[task.setvariable variable=NIGHTLY]true"
+      condition: eq(variables['Build.Reason'], 'Schedule')
+      displayName: Set dev trigger if scheduled
+
+    - script: |
+        CBA_FLAGS="-vvv --cycle-packages --dry-run"
+        if [ -n "$INCLUDE_JINJA" ]; then
+          CBA_FLAGS="$CBA_FLAGS --build-only-jinja $INCLUDE_JINJA"
+        fi
+        if [ -n "$EXCLUDE_JINJA" ]; then
+          CBA_FLAGS="$CBA_FLAGS --no-build-jinja $EXCLUDE_JINJA"
+        fi
+        if [ ! -z "$NIGHTLY"]; then
+          CBA_FLAGS="$CBA_FLAGS --dev --scheduled-only --upload omnia-dev"
+        fi
+        echo "##vso[task.setvariable variable=CBA_FLAGS]$CBA_FLAGS"
+      displayName: Assemble Variables
+
+    - script: |
+        DOCKER_FLAGS="--rm"
+        DOCKER_DIRS="-v `pwd`:/io"
+        DOCKER_DIRS="$DOCKER_DIRS -v `pwd`/.conda_configs:/conda_configs"
+        DOCKER_VARS="-e CBA_FLAGS -e CONFIG"
+        DOCKER_COMMAND="bash /io/devtools/docker-build.sh"
+        docker run ${DOCKER_FLAGS} ${DOCKER_DIRS} ${DOCKER_VARS} ${DOCKER_IMAGE} ${DOCKER_COMMAND}
+      displayName: Run Docker Build

.azure-pipelines/azure-pipelines-osx.yml

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+jobs:
+- job: osx
+  pool:
+    vmImage: macOS-10.13
+#  timeoutInMinutes: 360
+  strategy:
+    maxParallel: 8
+    matrix:
+      osx_python3.6:
+        CONFIG: python3.6
+        EXCLUDE_JINJA: CUDA_SHORT_VERSION
+      osx_python3.7:
+        CONFIG: python3.7
+        EXCLUDE_JINJA: CUDA_SHORT_VERSION
+      osx_python3.8:
+        CONFIG: python3.8
+        EXCLUDE_JINJA: CUDA_SHORT_VERSION
+
+  steps:
+    - script: |
+        echo "##vso[task.setvariable variable=NIGHTLY]true"
+      condition: eq(variables['Build.Reason'], 'Schedule')
+      displayName: Set dev trigger if scheduled
+
+    - bash: |
+        echo "##vso[task.prependpath]$CONDA/bin"
+        sudo chown -R $USER $CONDA
+      displayName: Add conda to PATH
+
+    - script: |
+        source activate base
+        conda install -n base -c conda-forge --quiet --yes conda-build
+        conda update --yes --quiet -c conda-forge -c defaults --all
+      displayName: Add and update conda-forge
+
+    - script: |
+        CBA_FLAGS="-vvv --cycle-packages --dry-run"
+        if [ -n "$INCLUDE_JINJA" ]; then
+          CBA_FLAGS="$CBA_FLAGS --build-only-jinja $INCLUDE_JINJA"
+        fi
+        if [ -n "$EXCLUDE_JINJA" ]; then
+          CBA_FLAGS="$CBA_FLAGS --no-build-jinja $EXCLUDE_JINJA"
+        fi
+        if [ ! -z "$NIGHTLY"]; then
+          CBA_FLAGS="$CBA_FLAGS --dev --scheduled-only --upload omnia-dev"
+        fi
+        export CBA_FLAGS=$CBA_FLAGS
+        echo "##vso[task.setvariable variable=CBA_FLAGS]$CBA_FLAGS"
+      displayName: Assemble Variables
+
+    - script: |
+        source activate base
+        conda config --add channels omnia
+        conda config --add channels conda-forge
+
+        conda install --yes conda conda-build anaconda-client
+
+        chmod +x $(Build.SourcesDirectory)/conda-build-all
+
+        python $(Build.SourcesDirectory)/conda-build-all $CBA_FLAGS -m $(Build.SourcesDirectory)/.conda_configs/$(CONFIG).yaml -- $(Build.SourcesDirectory)/*
+      displayName: Run Conda Build