def test_MKDAChi2_memory_limit_reuse(testdata_cbma, tmp_path_factory):
"""Smoke test for MKDAChi2 with memory_limit option, in which a memory-mapped array is used."""
tmpdir = tmp_path_factory.mktemp("test_MKDAChi2_memory_limit_reuse")
# Generate MKDAKernel MA maps as files in the Dataset
testdata_cbma.update_path(tmpdir)
kern = MKDAKernel()
dset = kern.transform(testdata_cbma, return_type="dataset")
# Reuse the MA files, loading them as a memory-mapped array
meta = MKDAChi2(memory_limit="1gb")
res = meta.fit(dset, dset)
assert meta.memory_limit
assert not meta.kernel_transformer.memory_limit
assert isinstance(res, nimare.results.MetaResult)
def test_mkda_density_kernel_instance(testdata_cbma):
"""
Smoke test for MKDADensity with a kernel transformer object.
"""
kern = MKDAKernel(r=5)
meta = MKDADensity(kern, null_method="empirical", n_iters=100)
res = meta.fit(testdata_cbma)
assert isinstance(res, nimare.results.MetaResult)
def test_MKDADensity_kernel_instance_with_kwargs(testdata_cbma):
"""Smoke test for MKDADensity with a kernel transformer object.
With kernel arguments provided, which should result in a warning, but the original
object's parameters should remain untouched.
"""
kern = MKDAKernel(r=2)
meta = MKDADensity(kern, kernel__r=6, null_method="montecarlo", n_iters=10)
assert meta.kernel_transformer.get_params().get("r") == 2