mirror of
https://github.com/explosion/spaCy.git
synced 2024-12-25 17:36:30 +03:00
Update v2.2.x for bugfix release (#6384)
* Fix on_match callback and remove empty patterns (#6312) For the `DependencyMatcher`: * Fix on_match callback so that it is called once per matched pattern * Fix results so that patterns with empty match lists are not returned * Add --prefer-binary for python 3.5 * Add version pins for pyrsistent * Use backwards-compatible super() * Try to fix tests on Travis (2.7) * Fix naming conflict and formatting * Update pkuseg version in Chinese tokenizer warnings * Some changes for Armenian (#5616) * Fixing numericals * We need a Armenian question sign to make the sentence a question * Update lex_attrs.py (#5608) * Fix compat * Update Armenian from v2.3.x Co-authored-by: Ines Montani <ines@ines.io> Co-authored-by: Karen Hambardzumyan <mahnerak@gmail.com> Co-authored-by: Marat M. Yavrumyan <myavrum@ysu.am>
This commit is contained in:
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a41e28ceba
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ada4fc0f09
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@ -80,8 +80,8 @@ jobs:
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architecture: 'x64'
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- script: |
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python -m pip install -U setuptools
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pip install -r requirements.txt
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python -m pip install -U pip setuptools
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pip install -r requirements.txt --prefer-binary
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displayName: 'Install dependencies'
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- script: |
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@ -96,7 +96,7 @@ jobs:
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- bash: |
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SDIST=$(python -c "import os;print(os.listdir('./dist')[-1])" 2>&1)
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pip install dist/$SDIST
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pip install dist/$SDIST --prefer-binary
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displayName: 'Install from sdist'
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- script: python -m pytest --pyargs spacy
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@ -14,6 +14,7 @@ plac>=0.9.6,<1.2.0
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pathlib==1.0.1; python_version < "3.4"
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tqdm>=4.38.0,<5.0.0
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# Optional dependencies
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pyrsistent<0.17.0
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jsonschema>=2.6.0,<3.1.0
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# Development dependencies
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cython>=0.25
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@ -7,8 +7,8 @@ def add_codes(err_cls):
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class ErrorsWithCodes(err_cls):
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def __getattribute__(self, code):
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msg = super().__getattribute__(code)
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if code.startswith('__'): # python system attributes like __class__
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msg = super(ErrorsWithCodes, self).__getattribute__(code)
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if code.startswith("__"): # python system attributes like __class__
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return msg
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else:
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return "[{code}] {msg}".format(code=code, msg=msg)
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@ -1,11 +1,12 @@
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# coding: utf8
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from __future__ import unicode_literals
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from .stop_words import STOP_WORDS
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from .lex_attrs import LEX_ATTRS
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from .tag_map import TAG_MAP
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from ...attrs import LANG
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from ...language import Language
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from ...tokens import Doc
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class ArmenianDefaults(Language.Defaults):
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@ -1,6 +1,6 @@
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# coding: utf8
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from __future__ import unicode_literals
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"""
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Example sentences to test spaCy and its language models.
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>>> from spacy.lang.hy.examples import sentences
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@ -11,6 +11,6 @@ Example sentences to test spaCy and its language models.
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sentences = [
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"Լոնդոնը Միացյալ Թագավորության մեծ քաղաք է։",
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"Ո՞վ է Ֆրանսիայի նախագահը։",
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"Որն է Միացյալ Նահանգների մայրաքաղաքը։",
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"Ո՞րն է Միացյալ Նահանգների մայրաքաղաքը։",
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"Ե՞րբ է ծնվել Բարաք Օբաման։",
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]
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@ -1,11 +1,12 @@
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# coding: utf8
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from __future__ import unicode_literals
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from ...attrs import LIKE_NUM
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_num_words = [
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"զրօ",
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"մէկ",
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"զրո",
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"մեկ",
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"երկու",
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"երեք",
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"չորս",
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"տասը",
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"տասնմեկ",
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"տասներկու",
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"տասներեք",
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"տասնչորս",
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"տասնհինգ",
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"տասնվեց",
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"տասնյոթ",
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"տասնութ",
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"տասնինը",
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"քսան" "երեսուն",
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"տասներեք",
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"տասնչորս",
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"տասնհինգ",
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"տասնվեց",
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"տասնյոթ",
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"տասնութ",
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"տասնինը",
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"քսան",
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"երեսուն",
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"քառասուն",
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"հիսուն",
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"վաթցսուն",
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"վաթսուն",
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"յոթանասուն",
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"ութսուն",
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"ինիսուն",
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"իննսուն",
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"հարյուր",
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"հազար",
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"միլիոն",
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@ -1,6 +1,6 @@
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# coding: utf8
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from __future__ import unicode_literals
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STOP_WORDS = set(
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"""
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նա
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յուրաքանչյուր
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այս
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մեջ
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թ
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թ
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""".split()
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)
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File diff suppressed because it is too large
Load Diff
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@ -14,7 +14,7 @@ class PolishLemmatizer(Lemmatizer):
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# lemmatization for nouns
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def __init__(self, lookups, *args, **kwargs):
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# this lemmatizer is lookup based, so it does not require an index, exceptionlist, or rules
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super().__init__(lookups)
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super(PolishLemmatizer, self).__init__(lookups)
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self.lemma_lookups = {}
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for tag in [
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"ADJ",
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@ -16,7 +16,7 @@ from .tag_map import TAG_MAP
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from ... import util
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_PKUSEG_INSTALL_MSG = "install it with `pip install pkuseg==0.0.22` or from https://github.com/lancopku/pkuseg-python"
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_PKUSEG_INSTALL_MSG = "install it with `pip install pkuseg==0.0.25` or from https://github.com/lancopku/pkuseg-python"
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def try_jieba_import(use_jieba):
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if reset:
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try:
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import pkuseg
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self.pkuseg_seg.preprocesser = pkuseg.Preprocesser(None)
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except ImportError:
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if self.use_pkuseg:
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)
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raise ImportError(msg)
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for word in words:
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self.pkuseg_seg.preprocesser.insert(word.strip(), '')
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self.pkuseg_seg.preprocesser.insert(word.strip(), "")
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def _get_config(self):
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config = OrderedDict(
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return util.to_bytes(serializers, [])
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def from_bytes(self, data, **kwargs):
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pkuseg_features_b = b""
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pkuseg_weights_b = b""
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pkuseg_processors_data = None
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pkuseg_data = {"features_b": b"", "weights_b": b"", "processors_data": None}
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def deserialize_pkuseg_features(b):
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nonlocal pkuseg_features_b
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pkuseg_features_b = b
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pkuseg_data["features_b"] = b
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def deserialize_pkuseg_weights(b):
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nonlocal pkuseg_weights_b
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pkuseg_weights_b = b
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pkuseg_data["weights_b"] = b
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def deserialize_pkuseg_processors(b):
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nonlocal pkuseg_processors_data
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pkuseg_processors_data = srsly.msgpack_loads(b)
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pkuseg_data["processors_data"] = srsly.msgpack_loads(b)
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deserializers = OrderedDict(
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(
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)
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util.from_bytes(data, deserializers, [])
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if pkuseg_features_b and pkuseg_weights_b:
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if pkuseg_data["features_b"] and pkuseg_data["weights_b"]:
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with tempfile.TemporaryDirectory() as tempdir:
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tempdir = Path(tempdir)
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with open(tempdir / "features.pkl", "wb") as fileh:
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fileh.write(pkuseg_features_b)
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fileh.write(pkuseg_data["features_b"])
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with open(tempdir / "weights.npz", "wb") as fileh:
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fileh.write(pkuseg_weights_b)
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fileh.write(pkuseg_data["weights_b"])
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try:
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import pkuseg
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except ImportError:
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+ _PKUSEG_INSTALL_MSG
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)
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self.pkuseg_seg = pkuseg.pkuseg(str(tempdir))
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if pkuseg_processors_data:
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(
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user_dict,
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do_process,
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common_words,
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other_words,
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) = pkuseg_processors_data
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if pkuseg_data["processors_data"]:
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processors_data = pkuseg_data["processors_data"]
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(user_dict, do_process, common_words, other_words) = processors_data
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self.pkuseg_seg.preprocesser = pkuseg.Preprocesser(user_dict)
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self.pkuseg_seg.postprocesser.do_process = do_process
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self.pkuseg_seg.postprocesser.common_words = set(common_words)
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matched_trees = []
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self.recurse(_tree,id_to_position,_node_operator_map,0,[],matched_trees)
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matched_key_trees.append((key,matched_trees))
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for i, (ent_id, nodes) in enumerate(matched_key_trees):
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on_match = self._callbacks.get(ent_id)
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if on_match is not None:
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on_match(self, doc, i, matched_key_trees)
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if len(matched_trees) > 0:
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matched_key_trees.append((key,matched_trees))
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for i, (ent_id, nodes) in enumerate(matched_key_trees):
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on_match = self._callbacks.get(ent_id)
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if on_match is not None:
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on_match(self, doc, i, matched_key_trees)
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return matched_key_trees
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def recurse(self,tree,id_to_position,_node_operator_map,int patternLength,visitedNodes,matched_trees):
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# coding: utf8
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from __future__ import unicode_literals
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import pytest
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# coding: utf-8
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from __future__ import unicode_literals
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import pytest
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from spacy.matcher import Matcher, DependencyMatcher
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from spacy.tokens import Doc, Token
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from ..doc.test_underscore import clean_underscore # noqa: F401
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from ..util import get_doc
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@pytest.fixture
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assert len(matches) == 0
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@pytest.fixture
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def text():
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return "The quick brown fox jumped over the lazy fox"
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@pytest.fixture
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def heads():
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return [3, 2, 1, 1, 0, -1, 2, 1, -3]
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@pytest.fixture
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def deps():
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return ["det", "amod", "amod", "nsubj", "prep", "pobj", "det", "amod"]
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@pytest.fixture
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def dependency_matcher(en_vocab):
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def is_brown_yellow(text):
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return bool(re.compile(r"brown|yellow|over").match(text))
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},
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]
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# pattern that doesn't match
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pattern4 = [
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{"SPEC": {"NODE_NAME": "jumped"}, "PATTERN": {"ORTH": "NOMATCH"}},
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{
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"SPEC": {"NODE_NAME": "fox", "NBOR_RELOP": ">", "NBOR_NAME": "jumped"},
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"PATTERN": {"ORTH": "fox"},
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},
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{
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"SPEC": {"NODE_NAME": "r", "NBOR_RELOP": ">>", "NBOR_NAME": "fox"},
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"PATTERN": {"ORTH": "brown"},
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},
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]
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matcher = DependencyMatcher(en_vocab)
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matcher.add("pattern1", [pattern1])
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matcher.add("pattern2", [pattern2])
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matcher.add("pattern3", [pattern3])
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on_match = Mock()
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matcher.add("pattern1", [pattern1], on_match=on_match)
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matcher.add("pattern2", [pattern2], on_match=on_match)
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matcher.add("pattern3", [pattern3], on_match=on_match)
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matcher.add("pattern4", [pattern4], on_match=on_match)
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return matcher
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assert len(dependency_matcher) == 4
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text = "The quick brown fox jumped over the lazy fox"
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heads = [3, 2, 1, 1, 0, -1, 2, 1, -3]
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deps = ["det", "amod", "amod", "nsubj", "ROOT", "prep", "pobj", "det", "amod"]
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def test_dependency_matcher_compile(dependency_matcher):
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assert len(dependency_matcher) == 3
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doc = get_doc(dependency_matcher.vocab, text.split(), heads=heads, deps=deps)
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matches = dependency_matcher(doc)
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# def test_dependency_matcher(dependency_matcher, text, heads, deps):
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# doc = get_doc(dependency_matcher.vocab, text.split(), heads=heads, deps=deps)
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# matches = dependency_matcher(doc)
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# assert matches[0][1] == [[3, 1, 2]]
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# assert matches[1][1] == [[4, 3, 3]]
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# assert matches[2][1] == [[4, 3, 2]]
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assert len(matches) == 3
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assert matches[0][1] == [[3, 1, 2]]
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assert matches[1][1] == [[4, 3, 3]]
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assert matches[2][1] == [[4, 3, 2]]
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assert on_match.call_count == 3
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def test_matcher_basic_check(en_vocab):
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@ -1,3 +1,5 @@
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# coding: utf8
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from __future__ import unicode_literals
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from spacy.lang.en import English
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