def idx_to_mask()

in privacy_lint/dataset/masks.py [0:0]

• 4 lines of code
• 1 McCabe index (conditional complexity)

def idx_to_mask(n_data, indices):
    mask = torch.zeros(n_data, dtype=bool)
    mask[indices] = 1

    return mask