TST Fix Determinism in test_fit_csr_matrix
@@ -265,9 +265,9 @@ def test_optimization_minimizes_kl_divergence():
@pytest.mark.parametrize('method', ['exact', 'barnes_hut'])
def test_fit_csr_matrix(method):
# X can be a sparse matrix.
- random_state = check_random_state(0)
- X = random_state.randn(50, 2)
- X[(np.random.randint(0, 50, 25), np.random.randint(0, 2, 25))] = 0.0
+ rng = check_random_state(0)
+ X = rng.randn(50, 2)
+ X[(rng.randint(0, 50, 25), rng.randint(0, 2, 25))] = 0.0
X_csr = sp.csr_matrix(X)
tsne = TSNE(n_components=2, perplexity=10, learning_rate=100.0,
random_state=0, method=method, n_iter=750)
