def test_run_do_not_modify_model_inplace(self):
state = Mock()
state.is_interruption_requested.return_value = True
task = Task(data=self.data,
perplexity=30,
multiscale=False,
exaggeration=1)
# Run through all the steps to prepare the t-SNE object
task.tsne = prepare_tsne_obj(task.data, task.perplexity,
task.multiscale, task.exaggeration)
TSNERunner.compute_pca(task, state)
TSNERunner.compute_initialization(task, state)
TSNERunner.compute_affinities(task, state)
# Run the t-SNE iteration once to create the object
TSNERunner.compute_tsne(task, state)
# Make sure that running t-SNE for another iteration returns a new object
tsne_obj_before = task.tsne_embedding
state.reset_mock()
TSNERunner.compute_tsne(task, state)
tsne_obj_after = task.tsne_embedding
state.set_partial_result.assert_called_once()
self.assertIsNot(tsne_obj_before, tsne_obj_after)
def test_run_do_not_modify_model_inplace(self):
state = Mock()
state.is_interruption_requested.return_value = True
task = Task(data=self.data, perplexity=30, multiscale=False, exaggeration=1)
# Run through all the steps to prepare the t-SNE object
task.tsne = prepare_tsne_obj(
task.data, task.perplexity, task.multiscale, task.exaggeration
)
TSNERunner.compute_pca(task, state)
TSNERunner.compute_initialization(task, state)
TSNERunner.compute_affinities(task, state)
# Run the t-SNE iteration once to create the object
TSNERunner.compute_tsne(task, state)
# Make sure that running t-SNE for another iteration returns a new object
tsne_obj_before = task.tsne_embedding
state.reset_mock()
TSNERunner.compute_tsne(task, state)
tsne_obj_after = task.tsne_embedding
state.set_partial_result.assert_called_once()
self.assertIsNot(tsne_obj_before, tsne_obj_after)