    def tokenize(self, text):
        """
        Tokenizes a piece of text using basic tokenizer.

        Args:
            text (str): A piece of text.

        Returns:
            list(str): A list of tokens.

        Examples:
            .. code-block::

                from paddlenlp.transformers import BasicTokenizer
                basictokenizer = BasicTokenizer()
                tokens = basictokenizer.tokenize('He was a puppeteer')
                '''
                ['he', 'was', 'a', 'puppeteer']
                '''

        """

        text = convert_to_unicode(text)
        text = self._clean_text(text)
        text = self._tokenize_chinese_chars(text)

        orig_tokens = whitespace_tokenize(text)
        split_tokens = []
        for token in orig_tokens:
            if self.do_lower_case:
                token = token.lower()
                token = self._run_strip_accents(token)
            split_tokens.extend(self._run_split_on_punc(token))

        output_tokens = whitespace_tokenize(" ".join(split_tokens))
        return output_tokens
Tokenizes a piece of text using basic tokenizer.

Args:
text (str): A piece of text.

Returns:
list(str): A list of tokens.

Examples:
.. code-block::

from paddlenlp.transformers import BasicTokenizer
basictokenizer = BasicTokenizer()
tokens = basictokenizer.tokenize('He was a puppeteer')
ptstructure/vqa/pytorchnlp/transformers/bert/tokenizer.py