def METHOD_NAME():
    new_mudata_path = "pbmc-perturbed.h5mu"
    mudata_in = mu.read_h5mu(input_path)
    # Make test reproducable
    np.random.seed(4)
    # Simulate a failed scrublet run by passing very little cells
    mudata = mudata_in[152].copy()
    nobs = 100
    x_data = np.repeat(mudata.mod['rna'].X.todense(), nobs, axis=0)
    # Random perturbations because otherwise the detection fails in other ways (PCA cannot be run)
    replace_rate = 0.000001
    mask = np.random.choice([0, 1], size=x_data.shape, p=((1 - replace_rate), replace_rate)).astype("bool")
    r = np.random.rand(*x_data.shape) * np.max(x_data)
    x_data[mask] = r[mask]
    # create obs
    obs_name = mudata.mod['rna'].obs.index.to_list()[0]
    obs_data = pd.DataFrame([], index=[f"{obs_name}_{i}" for i in range(nobs)])
    # create resulting mudata
    mod = ad.AnnData(X=csr_matrix(x_data), obs=obs_data, var=mudata.mod['rna'].var)
    new_mudata = mu.MuData({"rna": mod})
    new_mudata.update()
    new_mudata.write(new_mudata_path)
    return new_mudata_path