CI: Run tests on larger datasets #88

	name: httomolibgpu tests
	on:
	push:
	branches:
	- main
	pull_request:
	branches:
	- main

	jobs:
	iris-gpu:
	runs-on: iris-gpu
	container:
	image: nvidia/cuda:12.6.3-devel-ubi8
	env:
	NVIDIA_VISIBLE_DEVICES: ${{ env.NVIDIA_VISIBLE_DEVICES }}
	options: --gpus all --runtime=nvidia

	defaults:
	run:
	shell: bash -l {0}

	steps:
	- name: Checkout repository code
	uses: actions/checkout@v4

	- name: Set up CUDA environment
	run: \|
	echo "LD_LIBRARY_PATH=/usr/local/cuda/lib64:$LD_LIBRARY_PATH" >> $GITHUB_ENV

	- name: Create conda environment
	uses: mamba-org/setup-micromamba@v1
	with:
	environment-file: conda/environment.yml
	environment-name: httomo
	post-cleanup: 'all'
	init-shell: bash

	- name: Download test data from Zenodo
	run: \|
	chmod +x ./.scripts/download_zenodo.py

	./.scripts/download_zenodo.py zenodo-tests/large_data_archive

	echo -e "\nDownloaded files:"
	ls -lh tests/large_data_archive

	- name: Install httomolibgpu
	run: \|
	pip install .[dev]
	micromamba list

	- name: Run unit tests on small data
	run: \|
	pytest tests/

	- name: Run Zenodo tests
	run: \|
	pytest zenodo-tests/

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