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* Fix empty values in attributes and parts of speech, so symbols align correctly with the StringStore
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@ -2,7 +2,7 @@ from __future__ import unicode_literals
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IDS = {
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"NO_TAG": NO_TAG,
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"": NO_TAG,
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"ADJ": ADJ,
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"ADP": ADP,
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"ADV": ADV,
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@ -1,5 +1,4 @@
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SYMBOL_IDS = {
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"EMPTY_VALUE": EMPTY_VALUE,
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"Attr_is_alpha": Attr_is_alpha,
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"Attr_is_ascii": Attr_is_ascii,
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"Attr_is_digit": Attr_is_digit,
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@ -76,9 +76,11 @@ cdef class Vocab:
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# strings are loaded first, because the vocab is open-class, and these
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# symbols are closed class.
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for name in attrs.NAMES:
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_ = self.strings[name]
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if name:
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_ = self.strings[name]
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for name in parts_of_speech.NAMES:
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_ = self.strings[name]
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if name:
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_ = self.strings[name]
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#for morph_name in UNIV_MORPH_NAMES:
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# _ = self.strings[morph_name]
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#for entity_type_name in entity_types.NAMES:
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@ -1,6 +1,9 @@
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from __future__ import unicode_literals
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import pytest
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from spacy.attrs import LEMMA, ORTH, PROB, IS_ALPHA
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from spacy.parts_of_speech import NOUN, VERB
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def test_neq(en_vocab):
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addr = en_vocab['Hello']
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@ -25,3 +28,13 @@ def test_punct_neq(en_vocab):
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def test_shape_attr(en_vocab):
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example = en_vocab['example']
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assert example.orth != example.shape
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def test_symbols(en_vocab):
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assert en_vocab.strings['IS_ALPHA'] == IS_ALPHA
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assert en_vocab.strings['NOUN'] == NOUN
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assert en_vocab.strings['VERB'] == VERB
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assert en_vocab.strings['LEMMA'] == LEMMA
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assert en_vocab.strings['ORTH'] == ORTH
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assert en_vocab.strings['PROB'] == PROB
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