# Copyright 2022, Massachusetts Institute of Technology.
# All Rights Reserved
#
# Redistribution and use in source and binary forms, with or without
# modification, are permitted provided that the following conditions are met:
#
#  1. Redistributions of source code must retain the above copyright notice,
#     this list of conditions and the following disclaimer.
#
#  2. Redistributions in binary form must reproduce the above copyright notice,
#     this list of conditions and the following disclaimer in the documentation
#     and/or other materials provided with the distribution.
#
# THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS" AND
# ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE IMPLIED
# WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE
# DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT HOLDER OR CONTRIBUTORS BE LIABLE
# FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL
# DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR
# SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER
# CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY,
# OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE
# OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
#
# Research was sponsored by the United States Air Force Research Laboratory and
# the United States Air Force Artificial Intelligence Accelerator and was
# accomplished under Cooperative Agreement Number FA8750-19-2-1000. The views
# and conclusions contained in this document are those of the authors and should
# not be interpreted as representing the official policies, either expressed or
# implied, of the United States Air Force or the U.S. Government. The U.S.
# Government is authorized to reproduce and distribute reprints for Government
# purposes notwithstanding any copyright notation herein.
#
#
"""Test fixtures for spark-dsg package."""

import importlib
import pathlib

import pytest


@pytest.fixture
def resource_dir():
    """Get the test resource path."""
    return pathlib.Path(__file__).resolve().parent / "resources"


@pytest.fixture
def has_torch():
    """Get whether or not torch if configured correctly."""
    try:
        importlib.import_module("torch")
        importlib.import_module("torch_geometric")
        return True
    except ImportError:
        return False
