<jupyter_start><jupyter_text>We produce adjacent pairs of signs with the same unicode (`readingu`).<jupyter_code>from tf.app import use

A = use("oldbabylonian:clone", checkout="clone", hoist=globals())
# A = use('oldbabylonian', hoist=globals())
query = """
sign type=reading reading* readingu*
<: sign type=reading reading* readingu*
"""
results = A.search(query)
results[0:10]
equals = []

for (a, b) in results:
    rau = F.readingu.v(a)
    rbu = F.readingu.v(b)
    if rau != rbu:
        continue
    equals.append((a, b))

len(equals)
A.export(equals)<jupyter_output><empty_output>
{'fraction_non_alphanumeric': 0.15789473684210525, 'fraction_numerical': 0.0050933786078098476, 'mean_word_length': 4.9, 'pattern_counts': {'":': 0, '<': 6, '<?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': '349907', 'license': 'MIT', 'n_tokens_mistral': 227, 'n_tokens_neox': 217, 'n_words': 51, 'path': 'oldbabylonian/cookbook/readings.ipynb', 'repo_name': 'sethbam9/tutorials', 'size': '589'}