import sys
import pytest
import logging

sys.path.append("tests/python")
import testing as tm                          # noqa

def has_rmm():
    try:
        import rmm
        return True
    except ImportError:
        return False

@pytest.fixture(scope='session', autouse=True)
def setup_rmm_pool(request, pytestconfig):
    if pytestconfig.getoption('--use-rmm-pool'):
        if not has_rmm():
            raise ImportError('The --use-rmm-pool option requires the RMM package')
        import rmm
        from dask_cuda.utils import get_n_gpus
        rmm.reinitialize(pool_allocator=True, initial_pool_size=1024*1024*1024,
                         devices=list(range(get_n_gpus())))

@pytest.fixture(scope='function')
def local_cuda_cluster(request, pytestconfig):
    kwargs = {}
    if hasattr(request, 'param'):
        kwargs.update(request.param)
    if pytestconfig.getoption('--use-rmm-pool'):
        if not has_rmm():
            raise ImportError('The --use-rmm-pool option requires the RMM package')
        import rmm
        from dask_cuda.utils import get_n_gpus
        rmm.reinitialize()
        kwargs['rmm_pool_size'] = '2GB'
    if tm.no_dask_cuda()['condition']:
        raise ImportError('The local_cuda_cluster fixture requires dask_cuda package')
    from dask_cuda import LocalCUDACluster
    cluster = LocalCUDACluster(**kwargs)
    yield cluster
    cluster.close()

def pytest_addoption(parser):
    parser.addoption('--use-rmm-pool', action='store_true', default=False, help='Use RMM pool')

import sys
import pytest
import logging

sys.path.append("tests/python")
import testing as tm                          # noqa

def has_rmm():
    try:
        import rmm
        return True
    except ImportError:
        return False

@pytest.fixture(scope='session', autouse=True)
def setup_rmm_pool(request, pytestconfig):
    if pytestconfig.getoption('--use-rmm-pool'):
        if not has_rmm():
            raise ImportError('The --use-rmm-pool option requires the RMM package')
        import rmm
        from dask_cuda.utils import get_n_gpus
        rmm.reinitialize(pool_allocator=True, initial_pool_size=1024*1024*1024,
                         devices=list(range(get_n_gpus())))

@pytest.fixture(scope='function')
def local_cuda_cluster(request, pytestconfig):
    kwargs = {}
    if hasattr(request, 'param'):
        kwargs.update(request.param)
    if pytestconfig.getoption('--use-rmm-pool'):
        if not has_rmm():
            raise ImportError('The --use-rmm-pool option requires the RMM package')
        import rmm
        from dask_cuda.utils import get_n_gpus
        kwargs['rmm_pool_size'] = '2GB'
    if tm.no_dask_cuda()['condition']:
        raise ImportError('The local_cuda_cluster fixture requires dask_cuda package')
    from dask_cuda import LocalCUDACluster
    with LocalCUDACluster(**kwargs) as cluster:
        yield cluster

def pytest_addoption(parser):
    parser.addoption('--use-rmm-pool', action='store_true', default=False, help='Use RMM pool')

Fix Dask Pytest fixture (#6024)