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https://github.com/explosion/spaCy.git
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Merge branch 'develop' of https://github.com/explosion/spaCy into develop
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commit
7e2cdc0c81
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@ -31,7 +31,7 @@ from .syntax.stateclass cimport StateClass
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from .gold cimport GoldParse
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from .morphology cimport Morphology
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from .vocab cimport Vocab
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from .syntax.nonproj import PseudoProjectivity
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from .syntax import nonproj
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from .attrs import ID, LOWER, PREFIX, SUFFIX, SHAPE, TAG, DEP, POS
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from ._ml import rebatch, Tok2Vec, flatten, get_col, doc2feats
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@ -265,7 +265,7 @@ class NeuralLabeller(NeuralTagger):
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pass
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def begin_training(self, gold_tuples, pipeline=None):
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gold_tuples = PseudoProjectivity.preprocess_training_data(gold_tuples)
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gold_tuples = nonproj.preprocess_training_data(gold_tuples)
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for raw_text, annots_brackets in gold_tuples:
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for annots, brackets in annots_brackets:
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ids, words, tags, heads, deps, ents = annots
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@ -33,7 +33,6 @@ from ._parse_features cimport CONTEXT_SIZE
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from ._parse_features cimport fill_context
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from .stateclass cimport StateClass
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from ._state cimport StateC
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from .nonproj import PseudoProjectivity
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from .transition_system import OracleError
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from .transition_system cimport TransitionSystem, Transition
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from ..structs cimport TokenC
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@ -2,7 +2,8 @@
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from __future__ import unicode_literals
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from ...syntax.nonproj import ancestors, contains_cycle, is_nonproj_arc
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from ...syntax.nonproj import is_nonproj_tree, PseudoProjectivity
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from ...syntax.nonproj import is_nonproj_tree
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from ...syntax import nonproj
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from ...attrs import DEP, HEAD
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from ..util import get_doc
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@ -75,7 +76,7 @@ def test_parser_pseudoprojectivity(en_tokenizer):
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tokens = en_tokenizer('whatever ' * len(proj_heads))
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rel_proj_heads = [head-i for i, head in enumerate(proj_heads)]
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doc = get_doc(tokens.vocab, [t.text for t in tokens], deps=deco_labels, heads=rel_proj_heads)
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PseudoProjectivity.deprojectivize(doc)
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nonproj.deprojectivize(doc)
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return [t.head.i for t in doc], [token.dep_ for token in doc]
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tree = [1, 2, 2]
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@ -85,18 +86,18 @@ def test_parser_pseudoprojectivity(en_tokenizer):
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labels = ['det', 'nsubj', 'root', 'det', 'dobj', 'aux', 'nsubj', 'acl', 'punct']
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labels2 = ['advmod', 'root', 'det', 'nsubj', 'advmod', 'det', 'dobj', 'det', 'nmod', 'aux', 'nmod', 'advmod', 'det', 'amod', 'punct']
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assert(PseudoProjectivity.decompose('X||Y') == ('X','Y'))
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assert(PseudoProjectivity.decompose('X') == ('X',''))
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assert(PseudoProjectivity.is_decorated('X||Y') == True)
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assert(PseudoProjectivity.is_decorated('X') == False)
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assert(nonproj.decompose('X||Y') == ('X','Y'))
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assert(nonproj.decompose('X') == ('X',''))
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assert(nonproj.is_decorated('X||Y') == True)
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assert(nonproj.is_decorated('X') == False)
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PseudoProjectivity._lift(0, tree)
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nonproj._lift(0, tree)
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assert(tree == [2, 2, 2])
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assert(PseudoProjectivity._get_smallest_nonproj_arc(nonproj_tree) == 7)
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assert(PseudoProjectivity._get_smallest_nonproj_arc(nonproj_tree2) == 10)
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assert(nonproj._get_smallest_nonproj_arc(nonproj_tree) == 7)
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assert(nonproj._get_smallest_nonproj_arc(nonproj_tree2) == 10)
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proj_heads, deco_labels = PseudoProjectivity.projectivize(nonproj_tree, labels)
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proj_heads, deco_labels = nonproj.projectivize(nonproj_tree, labels)
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assert(proj_heads == [1, 2, 2, 4, 5, 2, 7, 5, 2])
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assert(deco_labels == ['det', 'nsubj', 'root', 'det', 'dobj', 'aux',
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'nsubj', 'acl||dobj', 'punct'])
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@ -105,7 +106,7 @@ def test_parser_pseudoprojectivity(en_tokenizer):
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assert(deproj_heads == nonproj_tree)
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assert(undeco_labels == labels)
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proj_heads, deco_labels = PseudoProjectivity.projectivize(nonproj_tree2, labels2)
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proj_heads, deco_labels = nonproj.projectivize(nonproj_tree2, labels2)
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assert(proj_heads == [1, 1, 3, 1, 5, 6, 9, 8, 6, 1, 9, 12, 13, 10, 1])
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assert(deco_labels == ['advmod||aux', 'root', 'det', 'nsubj', 'advmod',
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'det', 'dobj', 'det', 'nmod', 'aux', 'nmod||dobj',
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