<jupyter_start><jupyter_text>Base64 comparison<jupyter_code>import base64, codecs
encodedBase64 = base64.b64encode((codecs.encode(given_text, 'utf-8')))
encodedBase64 = codecs.decode()
codecs.decode(encodedBase64[:100], 'ascii') == encoded_given[:100]
encoded_given[:100]<jupyter_output><empty_output>
{'fraction_non_alphanumeric': 0.14950166112956811, 'fraction_numerical': 0.07973421926910298, 'mean_word_length': 13.380952380952381, 'pattern_counts': {'":': 0, '<': 5, '<?xml version=': 0, '>': 5, 'https://': 0, 'lorem ipsum': 0, 'www.': 0, 'xml': 0}, 'pii_count': 0, 'substrings_counts': 0, 'word_list_counts': {'cursed_substrings.json': 0, 'profanity_word_list.json': 0, 'sexual_word_list.json': 0, 'zh_pornsignals.json': 0}}
{'chain_length': '1', 'dir': 'jupyter-structured-clean-dedup', 'id': '451425', 'license': 'MIT', 'n_tokens_mistral': 127, 'n_tokens_neox': 109, 'n_words': 13, 'path': '2/2.ipynb', 'repo_name': 'feezboom/fridge', 'size': '301'}