def test_wavelet_adapter(self, tmpdir, session, operation_factory):
storage_folder = str(tmpdir)
ts_index = make_ts_from_op(session, operation_factory)
wavelet_adapter = ContinuousWaveletTransformAdapter()
wavelet_adapter.storage_path = storage_folder
wavelet_adapter.configure(ts_index)
disk = wavelet_adapter.get_required_disk_size()
mem = wavelet_adapter.get_required_memory_size()
wavelet_idx = wavelet_adapter.launch(ts_index)
result_h5 = h5.path_for(storage_folder, WaveletCoefficientsH5, wavelet_idx.gid)
assert os.path.exists(result_h5)
def test_ica_adapter(self, tmpdir, session, operation_factory):
storage_folder = str(tmpdir)
ts_index = make_ts_from_op(session, operation_factory)
ica_adapter = ICAAdapter()
ica_adapter.storage_path = storage_folder
ica_adapter.configure(ts_index)
disk = ica_adapter.get_required_disk_size(ts_index)
mem = ica_adapter.get_required_memory_size(ts_index)
ica_idx = ica_adapter.launch(ts_index)
result_h5 = h5.path_for(storage_folder, IndependentComponentsH5, ica_idx.gid)
assert os.path.exists(result_h5)
def test_cross_correlation_adapter(self, tmpdir, session, operation_factory):
storage_folder = str(tmpdir)
ts_index = make_ts_from_op(session, operation_factory)
cross_correlation_adapter = CrossCorrelateAdapter()
cross_correlation_adapter.storage_path = storage_folder
cross_correlation_adapter.configure(ts_index)
disk = cross_correlation_adapter.get_required_disk_size()
mem = cross_correlation_adapter.get_required_memory_size()
cross_correlation_idx = cross_correlation_adapter.launch(ts_index)
result_h5 = h5.path_for(storage_folder, CrossCorrelationH5, cross_correlation_idx.gid)
assert os.path.exists(result_h5)
def test_node_covariance_adapter(self, tmpdir, session, operation_factory):
storage_folder = str(tmpdir)
ts_index = make_ts_from_op(session, operation_factory)
node_covariance_adapter = NodeCovarianceAdapter()
node_covariance_adapter.storage_path = storage_folder
node_covariance_adapter.configure(ts_index)
disk = node_covariance_adapter.get_required_disk_size()
mem = node_covariance_adapter.get_required_memory_size()
covariance_idx = node_covariance_adapter.launch(ts_index)
result_h5 = h5.path_for(storage_folder, CovarianceH5, covariance_idx.gid)
assert os.path.exists(result_h5)
def test_metrics_adapter_launch(self, tmpdir, session, operation_factory):
storage_folder = str(tmpdir)
ts_index = make_ts_from_op(session, operation_factory)
metrics_adapter = TimeseriesMetricsAdapter()
metrics_adapter.storage_path = storage_folder
metrics_adapter.configure(ts_index)
disk = metrics_adapter.get_required_disk_size()
mem = metrics_adapter.get_required_memory_size()
datatype_measure_index = metrics_adapter.launch(ts_index)
result_h5 = h5.path_for(storage_folder, DatatypeMeasureH5, datatype_measure_index.gid)
assert os.path.exists(result_h5)
def test_fmri_balloon_adapter(self, tmpdir, session, operation_factory):
# To be fixed once we have the migrated importers
storage_folder = str(tmpdir)
ts_index = make_ts_from_op(session, operation_factory)
fmri_balloon_adapter = BalloonModelAdapter()
fmri_balloon_adapter.storage_path = storage_folder
fmri_balloon_adapter.configure(ts_index)
disk = fmri_balloon_adapter.get_required_disk_size()
mem = fmri_balloon_adapter.get_required_memory_size()
ts_index = fmri_balloon_adapter.launch(ts_index)
result_h5 = h5.path_for(storage_folder, TimeSeriesRegionH5, ts_index.gid)
assert os.path.exists(result_h5)
def test_node_coherence_adapter(self, tmpdir, session, operation_factory):
# algorithm returns complex values instead of float
storage_folder = str(tmpdir)
ts_index = make_ts_from_op(session, operation_factory)
node_coherence_adapter = NodeCoherenceAdapter()
node_coherence_adapter.storage_path = storage_folder
node_coherence_adapter.configure(ts_index)
disk = node_coherence_adapter.get_required_disk_size()
mem = node_coherence_adapter.get_required_memory_size()
coherence_spectrum_idx = node_coherence_adapter.launch(ts_index)
result_h5 = h5.path_for(storage_folder, CoherenceSpectrumH5, coherence_spectrum_idx.gid)
assert os.path.exists(result_h5)
def test_fcd_adapter(self, tmpdir, session, operation_factory):
storage_folder = str(tmpdir)
ts_index = make_ts_from_op(session, operation_factory)
sw = 0.5
sp = 0.2
fcd_adapter = FunctionalConnectivityDynamicsAdapter()
fcd_adapter.storage_path = storage_folder
fcd_adapter.configure(ts_index, sw, sp)
disk = fcd_adapter.get_required_disk_size()
mem = fcd_adapter.get_required_memory_size()
fcd_idx = fcd_adapter.launch(ts_index, sw, sp)
result_h5 = h5.path_for(storage_folder, FcdH5, fcd_idx.gid)
assert os.path.exists(result_h5)
def test_pearson_correlation_coefficient_adapter(self, tmpdir, session, operation_factory):
# To be fixed once we have the migrated importers
storage_folder = str(tmpdir)
ts_index = make_ts_from_op(session, operation_factory)
t_start = 0.9765625
t_end = 1000.0
pearson_correlation_coefficient_adapter = PearsonCorrelationCoefficientAdapter()
pearson_correlation_coefficient_adapter.storage_path = storage_folder
pearson_correlation_coefficient_adapter.configure(ts_index, t_start, t_end)
disk = pearson_correlation_coefficient_adapter.get_required_disk_size()
mem = pearson_correlation_coefficient_adapter.get_required_memory_size()
correlation_coefficients_idx = pearson_correlation_coefficient_adapter.launch(ts_index, t_start, t_end)
result_h5 = h5.path_for(storage_folder, CorrelationCoefficientsH5, correlation_coefficients_idx.gid)
assert os.path.exists(result_h5)
