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import unittest | |
import pandas as pd | |
from perplexity_lenses.data import documents_df_to_sentences_df | |
class TestData(unittest.TestCase): | |
def test_documents_df_to_sentences_df(self): | |
input_df = pd.DataFrame({"text": ["foo\nbar"]}) | |
expected_output_df = pd.DataFrame({"text": ["foo", "bar"]}) | |
output_df = documents_df_to_sentences_df(input_df, "text", 100) | |
pd.testing.assert_frame_equal(output_df, expected_output_df, check_like=True, check_exact=True) | |