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re-implement kalman filter with single sliding-window prediction #465

re-implement kalman filter with single sliding-window prediction

re-implement kalman filter with single sliding-window prediction #465

Workflow file for this run

name: Unit test run
on:
push:
pull_request:
jobs:
build:
runs-on: ubuntu-latest
strategy:
matrix:
python-version: ['3.8', '3.9', '3.10', '3.11', '3.12']
steps:
- uses: actions/checkout@v4
- name: Set up OnAIR test environment
uses: conda-incubator/setup-miniconda@v3
with:
activate-environment: onair
environment-file: environment.yml
python-version: ${{ matrix.python-version }}
auto-activate-base: false
- name: Install dependencies
shell: bash -l {0}
run: |
conda info
conda list
- name: Test with pytest
shell: bash -l {0}
run: python -m coverage run --branch --source=onair,plugins -m pytest ./test/
- name: Coverage report
shell: bash -l {0}
run: coverage report --skip-empty
- name: Upload coverage reports to Codecov
uses: codecov/codecov-action@v4