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from sklearn.base import BaseEstimator, TransformerMixin


class WordTokenizer(BaseEstimator, TransformerMixin):

    def fit(self, X, y=None):
        return self

    def transform(self, X):
        begin_of_word = ""
        end_of_word = ""
        out = [
            [
                begin_of_word + word + end_of_word
                for word in
                sentence.replace("//", " /").replace("/", " /").replace("-", " -").replace("  ", " ").split(" ")
                if not len(word) == 0
            ]
            for sentence in X
        ]
        return out
