increase tolerance for one test that seems to be slightly sensitive t… #37

	name: Continuous Integration

	on: [push, pull_request]

	jobs:
	test:
	name: ${{ matrix.os }}-${{ matrix.python-version }}
	runs-on: ${{ matrix.os }}
	strategy:
	fail-fast: false
	matrix:
	os: [ubuntu-latest, macos-latest]
	python-version: ["3.8", "3.9", "3.10", "3.11"]

	steps:
	- name: Checkout repository
	uses: actions/checkout@v3

	- name: Install Conda w/ Python ${{ matrix.python-version }}
	uses: conda-incubator/setup-miniconda@v2
	with:
	activate-environment: test
	python-version: ${{ matrix.python-version }}
	channels: conda-forge

	- name: Install dependencies
	shell: bash -l {0}
	run: \|
	conda activate test
	python -m pip install --upgrade pip
	pip install pytest
	if [ -f requirements.txt ]; then pip install -r requirements.txt; fi

	- name: Cache ACT DR6 Lensing Data
	uses: actions/cache@v3
	id: cache-act
	with:
	path: act_dr6_lenslike/data/v1.2
	key: ${{ runner.os }}-act-dr6-v1.2

	- name: Download ACT DR6 Lensing Data
	if: steps.cache-act.outputs.cache-hit != 'true'
	run: \|
	./get-act-data.sh

	- name: Run Python Likelihood Tests
	shell: bash -l {0}
	run: \|
	conda activate test
	pytest -v act_dr6_lenslike/tests/test_act.py

	- name: Install Cobaya and Camb
	shell: bash -l {0}
	run: \|
	conda activate test
	conda install gfortran
	pip install cobaya
	export COBAYA_PACKAGES_PATH="../packages"
	cobaya-install camb

	- name: Run Cobaya Likelihood Tests
	shell: bash -l {0}
	run: \|
	conda activate test
	pytest -v act_dr6_lenslike/tests/test_cobaya.py

Provide feedback