def _init_ypred(n_train, n_test, n_orig_epochs, n_dim):
    if len(set(n_test)) == 1:
        y_pred = np.empty((n_train, n_test[0], n_orig_epochs, n_dim))
    else:
        y_pred = np.array([np.empty((this_n, n_orig_epochs, n_dim))
                           for this_n in n_test])
    return y_pred
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dataset/ETHPy150Open mne-tools/mne-python/mne/decoding/time_gen.py/_init_ypred--crossover with--dataset/ETHPy150Open sigmavirus24/github3.py/github3/repos/branch.py/Branch.unprotect