mirror of
https://github.com/explosion/spaCy.git
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7e821c2776
* added tr_vocab to config * basic test * added syntax iterator to Turkish lang class * first version for Turkish syntax iter, without flat * added simple tests with nmod, amod, det * more tests to amod and nmod * separated noun chunks and parser test * rearrangement after nchunk parser separation * added recursive NPs * tests with complicated recursive NPs * tests with conjed NPs * additional tests for conj NP * small modification for shaving off conj from NP * added tests with flat * more tests with flat * added examples with flats conjed * added inner func for flat trick * corrected parse Co-authored-by: Adriane Boyd <adrianeboyd@gmail.com>
17 lines
505 B
Python
17 lines
505 B
Python
# coding: utf-8
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from __future__ import unicode_literals
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import pytest
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def test_noun_chunks_is_parsed(tr_tokenizer):
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"""Test that noun_chunks raises Value Error for 'tr' language if Doc is not parsed.
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To check this test, we're constructing a Doc
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with a new Vocab here and forcing is_parsed to 'False'
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to make sure the noun chunks don't run.
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"""
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doc = tr_tokenizer("Dün seni gördüm.")
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doc.is_parsed = False
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with pytest.raises(ValueError):
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list(doc.noun_chunks)
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