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add DetectionEfficiencies (aka "normalisation") #89

add DetectionEfficiencies (aka "normalisation")

add DetectionEfficiencies (aka "normalisation") #89

Workflow file for this run

name: CI
on:
push:
branches: [main]
paths-ignore:
- '**/*.md'
pull_request:
branches: [main]
defaults:
run:
# See https://github.com/marketplace/actions/setup-miniconda#important
shell: bash -el {0}
jobs:
validate:
strategy:
matrix:
cppVersion: [17]
name: Validate Python and C++${{ matrix.cppVersion }}
runs-on: ubuntu-latest
steps:
- uses: actions/checkout@v3
with:
submodules: recursive
- name: Configure environment
uses: ./.github/actions/configure-environment
- name: Install yardl
run: |
YARDL_DIR=${{github.workspace}}/yardl
mkdir ${YARDL_DIR}
cd ${YARDL_DIR}
echo "${{github.workspace}}/yardl" >> $GITHUB_PATH
YARDL_VERSION=0.3.2
wget --quiet "https://github.com/microsoft/yardl/releases/download/v${YARDL_VERSION}/yardl_${YARDL_VERSION}_linux_x86_64.tar.gz"
tar -xzf "yardl_${YARDL_VERSION}_linux_x86_64.tar.gz"
rm "yardl_${YARDL_VERSION}_linux_x86_64.tar.gz"
- name: Build model
run: |
cd model
yardl generate
- name: Python
run: |
cd python
python petsird_generator.py | python petsird_analysis.py
- name: Cpp
run: |
cd cpp && mkdir -p build && cd build
cmake -G Ninja -S .. -DHDF5_ROOT="$CONDA_PREFIX"
ninja
./petsird_generator test.h5
./petsird_analysis test.h5