a7ce491888cd80d9ee3a41162e39c62a159926fb,hyperspy/tests/mva/test_cluster.py,TestClusterCustomScaling,setup_method,#TestClusterCustomScaling#,170

Before Change

        n_samples=[400] * 3
        std = [1.0] * 3
        X = []
        centers = np.random.uniform(-20, 20, size=(3, 5))
        for i, (n, std) in enumerate(zip(n_samples, std)):
            X.append(centers[i] + np.random.normal(scale=std, size=(n, 5)))
        X = np.concatenate(X)
        np.random.shuffle(X)

After Change

        n_samples=[400]*3
        std = [1.0]*3
        X = []
        centers = np.array([[-12.,-12.,11,10],[12.,-12.,-12.,-11],[1.,1.,1.,1.]])
        for i, (n, std) in enumerate(zip(n_samples, std)):
            X.append(centers[i] + np.random.normal(scale=std,size=(n, 4)))
        X = np.concatenate(X)
        np.random.shuffle(X)

Instances