Different results from command line tool about jfasttext HOT 3 OPEN

$ echo "Weak wifi otherwise all ok" | fasttext predict-prob model.bin - 5
__label__60 0.678738 __label__80 0.315212 __label__40 0.0055875 __label__100 0.000415088  __label__20 6.88466e-05

$ echo -n "Weak wifi otherwise all ok" | fasttext predict-prob model.bin - 5
__label__60 0.807072 __label__80 0.126261 __label__40 0.049052 __label__4 0.00411388 __label__5 0.00340998

$ echo "Weak wifi otherwise all ok" | java -jar JFastText/target/jfasttext-0.4-jar-with-dependencies.jar  predict-prob model.bin - 5
__label__60 0.678737 __label__80 0.315212 __label__40 0.0055875 __label__100 0.000415088 __label__20 6.88467e-05

$ echo -n "Weak wifi otherwise all ok" | java -jar JFastText/target/jfasttext-0.4-jar-with-dependencies.jar  predict-prob model.bin - 5
__label__60 0.807072 __label__80 0.126261 __label__40 0.049052 __label__4 0.00411388 __label__5 0.00340998

	JFastText jft = new JFastText();
	jft.loadModel("model.bin");
	List<ProbLabel> predictions = jft.predictProba("Weak wifi otherwise all ok\n", 5);

	JFastText jft = new JFastText();
	jft.loadModel("model.bin");
	List<ProbLabel> predictions = jft.predictProba("Weak wifi otherwise all ok", 5);

public Map<String, Double> predictTopLabel(String text, int k) {
    Map<String, Double> scoreMap = new LinkedHashMap<>();
    text = StringUtils.trimToEmpty(text) + "\n";
    final List<JFastText.ProbLabel> pl = model.predictProba(text, k);
    for (JFastText.ProbLabel i : CollectionUtils.emptyIfNull(pl)) {
        final double prob = Math.exp(i.logProb);
        final double score = Math.round(prob * 100000000) / 100000000;
        scoreMap.put(i.label, score);
    }
    return scoreMap;
}