Merge "Fix errorprone warnings that should be errors"

    // relevance metric for ranking the suggestion items. This model is learned with off-line data

    // by training a binary classifier to detect the clicked items. The higher the obtained

    // relevance metric, the higher chance of getting clicked.

    private static final Map<String, Double> WEIGHTS = new HashMap<String, Double>() {{

        put(SuggestionFeaturizer.FEATURE_IS_SHOWN, 5.05140842519);

        put(SuggestionFeaturizer.FEATURE_IS_DISMISSED, 2.29641455171);

        put(SuggestionFeaturizer.FEATURE_IS_CLICKED, -2.98812233623);

        put(SuggestionFeaturizer.FEATURE_TIME_FROM_LAST_SHOWN, 5.02807250202);

        put(SuggestionFeaturizer.FEATURE_TIME_FROM_LAST_DISMISSED, 2.49589700842);

        put(SuggestionFeaturizer.FEATURE_TIME_FROM_LAST_CLICKED, -4.3377039948);

        put(SuggestionFeaturizer.FEATURE_SHOWN_COUNT, -2.35993512546);

    }};

    private static final Map<String, Double> WEIGHTS = Map.of(

            SuggestionFeaturizer.FEATURE_IS_SHOWN, 5.05140842519,

            SuggestionFeaturizer.FEATURE_IS_DISMISSED, 2.29641455171,

            SuggestionFeaturizer.FEATURE_IS_CLICKED, -2.98812233623,

            SuggestionFeaturizer.FEATURE_TIME_FROM_LAST_SHOWN, 5.02807250202,

            SuggestionFeaturizer.FEATURE_TIME_FROM_LAST_DISMISSED, 2.49589700842,

            SuggestionFeaturizer.FEATURE_TIME_FROM_LAST_CLICKED, -4.3377039948,

            SuggestionFeaturizer.FEATURE_SHOWN_COUNT, -2.35993512546);

    private final long mMaxSuggestionsDisplayCount;

    private final SuggestionFeaturizer mSuggestionFeaturizer;