Robust Gaussian Processes via Relevance Pursuit #5099

	name: Test

	on:
	push:
	branches: [ main ]
	pull_request:
	branches: [ main ]
	workflow_dispatch:

	jobs:

	tests-and-coverage-pip:
	name: Test & Coverage (pip)
	uses: ./.github/workflows/reusable_test_pip.yml
	with:
	use_latest_pytorch_gpytorch: true
	secrets: inherit

	tests-conda:
	name: Tests (conda, ${{ matrix.os }})
	runs-on: ${{ matrix.os }}
	strategy:
	fail-fast: false
	matrix:
	os: ["ubuntu-latest", "macos-14", "windows-latest"]
	python-version: ["3.10", "3.12"]
	steps:
	- uses: actions/checkout@v4
	- uses: conda-incubator/setup-miniconda@v3
	with:
	miniconda-version: "latest"
	activate-environment: test
	python-version: ${{ matrix.python-version }}
	- name: Install dependencies
	shell: bash -l {0}
	env:
	ALLOW_LATEST_GPYTORCH_LINOP: true
	run: \|
	conda install pytorch torchvision -c pytorch
	conda install -y pip scipy sphinx pytest flake8
	pip install git+https://github.com/cornellius-gp/linear_operator.git
	pip install git+https://github.com/cornellius-gp/gpytorch.git
	pip install .[test]
	- name: Unit tests -- BoTorch
	shell: bash -l {0}
	run: \|
	pytest -ra test/
	- name: Unit tests -- BoTorch Community
	shell: bash -l {0}
	run: \|
	pytest -ra test_community/

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