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Merge branch 'master' of https://github.com/explosion/spaCy into feature/better-faster-matcher

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# spaCy contributor agreement
This spaCy Contributor Agreement (**"SCA"**) is based on the
[Oracle Contributor Agreement](http://www.oracle.com/technetwork/oca-405177.pdf).
The SCA applies to any contribution that you make to any product or project
managed by us (the **"project"**), and sets out the intellectual property rights
you grant to us in the contributed materials. The term **"us"** shall mean
[ExplosionAI UG (haftungsbeschränkt)](https://explosion.ai/legal). The term
**"you"** shall mean the person or entity identified below.
If you agree to be bound by these terms, fill in the information requested
below and include the filled-in version with your first pull request, under the
folder [`.github/contributors/`](/.github/contributors/). The name of the file
should be your GitHub username, with the extension `.md`. For example, the user
example_user would create the file `.github/contributors/example_user.md`.
Read this agreement carefully before signing. These terms and conditions
constitute a binding legal agreement.
## Contributor Agreement
1. The term "contribution" or "contributed materials" means any source code,
object code, patch, tool, sample, graphic, specification, manual,
documentation, or any other material posted or submitted by you to the project.
2. With respect to any worldwide copyrights, or copyright applications and
registrations, in your contribution:
* you hereby assign to us joint ownership, and to the extent that such
assignment is or becomes invalid, ineffective or unenforceable, you hereby
grant to us a perpetual, irrevocable, non-exclusive, worldwide, no-charge,
royalty-free, unrestricted license to exercise all rights under those
copyrights. This includes, at our option, the right to sublicense these same
rights to third parties through multiple levels of sublicensees or other
licensing arrangements;
* you agree that each of us can do all things in relation to your
contribution as if each of us were the sole owners, and if one of us makes
a derivative work of your contribution, the one who makes the derivative
work (or has it made will be the sole owner of that derivative work;
* you agree that you will not assert any moral rights in your contribution
against us, our licensees or transferees;
* you agree that we may register a copyright in your contribution and
exercise all ownership rights associated with it; and
* you agree that neither of us has any duty to consult with, obtain the
consent of, pay or render an accounting to the other for any use or
distribution of your contribution.
3. With respect to any patents you own, or that you can license without payment
to any third party, you hereby grant to us a perpetual, irrevocable,
non-exclusive, worldwide, no-charge, royalty-free license to:
* make, have made, use, sell, offer to sell, import, and otherwise transfer
your contribution in whole or in part, alone or in combination with or
included in any product, work or materials arising out of the project to
which your contribution was submitted, and
* at our option, to sublicense these same rights to third parties through
multiple levels of sublicensees or other licensing arrangements.
4. Except as set out above, you keep all right, title, and interest in your
contribution. The rights that you grant to us under these terms are effective
on the date you first submitted a contribution to us, even if your submission
took place before the date you sign these terms.
5. You covenant, represent, warrant and agree that:
* Each contribution that you submit is and shall be an original work of
authorship and you can legally grant the rights set out in this SCA;
* to the best of your knowledge, each contribution will not violate any
third party's copyrights, trademarks, patents, or other intellectual
property rights; and
* each contribution shall be in compliance with U.S. export control laws and
other applicable export and import laws. You agree to notify us if you
become aware of any circumstance which would make any of the foregoing
representations inaccurate in any respect. We may publicly disclose your
participation in the project, including the fact that you have signed the SCA.
6. This SCA is governed by the laws of the State of California and applicable
U.S. Federal law. Any choice of law rules will not apply.
7. Please place an “x” on one of the applicable statement below. Please do NOT
mark both statements:
* [x] I am signing on behalf of myself as an individual and no other person
or entity, including my employer, has or will have rights with respect to my
contributions.
* [ ] I am signing on behalf of my employer or a legal entity and I have the
actual authority to contractually bind that entity.
## Contributor Details
| Field | Entry |
|------------------------------- | -------------------- |
| Name | Johannes Dollinger |
| Company name (if applicable) | |
| Title or role (if applicable) | |
| Date | 2018-02-13 |
| GitHub username | emulbreh |
| Website (optional) | |

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# spaCy contributor agreement
This spaCy Contributor Agreement (**"SCA"**) is based on the
[Oracle Contributor Agreement](http://www.oracle.com/technetwork/oca-405177.pdf).
The SCA applies to any contribution that you make to any product or project
managed by us (the **"project"**), and sets out the intellectual property rights
you grant to us in the contributed materials. The term **"us"** shall mean
[ExplosionAI UG (haftungsbeschränkt)](https://explosion.ai/legal). The term
**"you"** shall mean the person or entity identified below.
If you agree to be bound by these terms, fill in the information requested
below and include the filled-in version with your first pull request, under the
folder [`.github/contributors/`](/.github/contributors/). The name of the file
should be your GitHub username, with the extension `.md`. For example, the user
example_user would create the file `.github/contributors/example_user.md`.
Read this agreement carefully before signing. These terms and conditions
constitute a binding legal agreement.
## Contributor Agreement
1. The term "contribution" or "contributed materials" means any source code,
object code, patch, tool, sample, graphic, specification, manual,
documentation, or any other material posted or submitted by you to the project.
2. With respect to any worldwide copyrights, or copyright applications and
registrations, in your contribution:
* you hereby assign to us joint ownership, and to the extent that such
assignment is or becomes invalid, ineffective or unenforceable, you hereby
grant to us a perpetual, irrevocable, non-exclusive, worldwide, no-charge,
royalty-free, unrestricted license to exercise all rights under those
copyrights. This includes, at our option, the right to sublicense these same
rights to third parties through multiple levels of sublicensees or other
licensing arrangements;
* you agree that each of us can do all things in relation to your
contribution as if each of us were the sole owners, and if one of us makes
a derivative work of your contribution, the one who makes the derivative
work (or has it made will be the sole owner of that derivative work;
* you agree that you will not assert any moral rights in your contribution
against us, our licensees or transferees;
* you agree that we may register a copyright in your contribution and
exercise all ownership rights associated with it; and
* you agree that neither of us has any duty to consult with, obtain the
consent of, pay or render an accounting to the other for any use or
distribution of your contribution.
3. With respect to any patents you own, or that you can license without payment
to any third party, you hereby grant to us a perpetual, irrevocable,
non-exclusive, worldwide, no-charge, royalty-free license to:
* make, have made, use, sell, offer to sell, import, and otherwise transfer
your contribution in whole or in part, alone or in combination with or
included in any product, work or materials arising out of the project to
which your contribution was submitted, and
* at our option, to sublicense these same rights to third parties through
multiple levels of sublicensees or other licensing arrangements.
4. Except as set out above, you keep all right, title, and interest in your
contribution. The rights that you grant to us under these terms are effective
on the date you first submitted a contribution to us, even if your submission
took place before the date you sign these terms.
5. You covenant, represent, warrant and agree that:
* Each contribution that you submit is and shall be an original work of
authorship and you can legally grant the rights set out in this SCA;
* to the best of your knowledge, each contribution will not violate any
third party's copyrights, trademarks, patents, or other intellectual
property rights; and
* each contribution shall be in compliance with U.S. export control laws and
other applicable export and import laws. You agree to notify us if you
become aware of any circumstance which would make any of the foregoing
representations inaccurate in any respect. We may publicly disclose your
participation in the project, including the fact that you have signed the SCA.
6. This SCA is governed by the laws of the State of California and applicable
U.S. Federal law. Any choice of law rules will not apply.
7. Please place an “x” on one of the applicable statement below. Please do NOT
mark both statements:
* [x] I am signing on behalf of myself as an individual and no other person
or entity, including my employer, has or will have rights with respect to my
contributions.
* [ ] I am signing on behalf of my employer or a legal entity and I have the
actual authority to contractually bind that entity.
## Contributor Details
| Field | Entry |
|------------------------------- | -------------------- |
| Name | Aaron Marquez |
| Company name (if applicable) | |
| Title or role (if applicable) | |
| Date | 2/15/2018 |
| GitHub username | enerrio |
| Website (optional) | |

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# spaCy contributor agreement
This spaCy Contributor Agreement (**"SCA"**) is based on the
[Oracle Contributor Agreement](http://www.oracle.com/technetwork/oca-405177.pdf).
The SCA applies to any contribution that you make to any product or project
managed by us (the **"project"**), and sets out the intellectual property rights
you grant to us in the contributed materials. The term **"us"** shall mean
[ExplosionAI UG (haftungsbeschränkt)](https://explosion.ai/legal). The term
**"you"** shall mean the person or entity identified below.
If you agree to be bound by these terms, fill in the information requested
below and include the filled-in version with your first pull request, under the
folder [`.github/contributors/`](/.github/contributors/). The name of the file
should be your GitHub username, with the extension `.md`. For example, the user
example_user would create the file `.github/contributors/example_user.md`.
Read this agreement carefully before signing. These terms and conditions
constitute a binding legal agreement.
## Contributor Agreement
1. The term "contribution" or "contributed materials" means any source code,
object code, patch, tool, sample, graphic, specification, manual,
documentation, or any other material posted or submitted by you to the project.
2. With respect to any worldwide copyrights, or copyright applications and
registrations, in your contribution:
* you hereby assign to us joint ownership, and to the extent that such
assignment is or becomes invalid, ineffective or unenforceable, you hereby
grant to us a perpetual, irrevocable, non-exclusive, worldwide, no-charge,
royalty-free, unrestricted license to exercise all rights under those
copyrights. This includes, at our option, the right to sublicense these same
rights to third parties through multiple levels of sublicensees or other
licensing arrangements;
* you agree that each of us can do all things in relation to your
contribution as if each of us were the sole owners, and if one of us makes
a derivative work of your contribution, the one who makes the derivative
work (or has it made will be the sole owner of that derivative work;
* you agree that you will not assert any moral rights in your contribution
against us, our licensees or transferees;
* you agree that we may register a copyright in your contribution and
exercise all ownership rights associated with it; and
* you agree that neither of us has any duty to consult with, obtain the
consent of, pay or render an accounting to the other for any use or
distribution of your contribution.
3. With respect to any patents you own, or that you can license without payment
to any third party, you hereby grant to us a perpetual, irrevocable,
non-exclusive, worldwide, no-charge, royalty-free license to:
* make, have made, use, sell, offer to sell, import, and otherwise transfer
your contribution in whole or in part, alone or in combination with or
included in any product, work or materials arising out of the project to
which your contribution was submitted, and
* at our option, to sublicense these same rights to third parties through
multiple levels of sublicensees or other licensing arrangements.
4. Except as set out above, you keep all right, title, and interest in your
contribution. The rights that you grant to us under these terms are effective
on the date you first submitted a contribution to us, even if your submission
took place before the date you sign these terms.
5. You covenant, represent, warrant and agree that:
* Each contribution that you submit is and shall be an original work of
authorship and you can legally grant the rights set out in this SCA;
* to the best of your knowledge, each contribution will not violate any
third party's copyrights, trademarks, patents, or other intellectual
property rights; and
* each contribution shall be in compliance with U.S. export control laws and
other applicable export and import laws. You agree to notify us if you
become aware of any circumstance which would make any of the foregoing
representations inaccurate in any respect. We may publicly disclose your
participation in the project, including the fact that you have signed the SCA.
6. This SCA is governed by the laws of the State of California and applicable
U.S. Federal law. Any choice of law rules will not apply.
7. Please place an “x” on one of the applicable statement below. Please do NOT
mark both statements:
* [x] I am signing on behalf of myself as an individual and no other person
or entity, including my employer, has or will have rights with respect to my
contributions.
* [ ] I am signing on behalf of my employer or a legal entity and I have the
actual authority to contractually bind that entity.
## Contributor Details
| Field | Entry |
|------------------------------- | -------------------- |
| Name | Lyndon White |
| Company name (if applicable) | |
| Title or role (if applicable) | |
| Date | 9/2/2018 |
| GitHub username | oxinabox |
| Website (optional) | white.ucc.asn.au |

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@ -0,0 +1,106 @@
# spaCy contributor agreement
This spaCy Contributor Agreement (**"SCA"**) is based on the
[Oracle Contributor Agreement](http://www.oracle.com/technetwork/oca-405177.pdf).
The SCA applies to any contribution that you make to any product or project
managed by us (the **"project"**), and sets out the intellectual property rights
you grant to us in the contributed materials. The term **"us"** shall mean
[ExplosionAI UG (haftungsbeschränkt)](https://explosion.ai/legal). The term
**"you"** shall mean the person or entity identified below.
If you agree to be bound by these terms, fill in the information requested
below and include the filled-in version with your first pull request, under the
folder [`.github/contributors/`](/.github/contributors/). The name of the file
should be your GitHub username, with the extension `.md`. For example, the user
example_user would create the file `.github/contributors/example_user.md`.
Read this agreement carefully before signing. These terms and conditions
constitute a binding legal agreement.
## Contributor Agreement
1. The term "contribution" or "contributed materials" means any source code,
object code, patch, tool, sample, graphic, specification, manual,
documentation, or any other material posted or submitted by you to the project.
2. With respect to any worldwide copyrights, or copyright applications and
registrations, in your contribution:
* you hereby assign to us joint ownership, and to the extent that such
assignment is or becomes invalid, ineffective or unenforceable, you hereby
grant to us a perpetual, irrevocable, non-exclusive, worldwide, no-charge,
royalty-free, unrestricted license to exercise all rights under those
copyrights. This includes, at our option, the right to sublicense these same
rights to third parties through multiple levels of sublicensees or other
licensing arrangements;
* you agree that each of us can do all things in relation to your
contribution as if each of us were the sole owners, and if one of us makes
a derivative work of your contribution, the one who makes the derivative
work (or has it made will be the sole owner of that derivative work;
* you agree that you will not assert any moral rights in your contribution
against us, our licensees or transferees;
* you agree that we may register a copyright in your contribution and
exercise all ownership rights associated with it; and
* you agree that neither of us has any duty to consult with, obtain the
consent of, pay or render an accounting to the other for any use or
distribution of your contribution.
3. With respect to any patents you own, or that you can license without payment
to any third party, you hereby grant to us a perpetual, irrevocable,
non-exclusive, worldwide, no-charge, royalty-free license to:
* make, have made, use, sell, offer to sell, import, and otherwise transfer
your contribution in whole or in part, alone or in combination with or
included in any product, work or materials arising out of the project to
which your contribution was submitted, and
* at our option, to sublicense these same rights to third parties through
multiple levels of sublicensees or other licensing arrangements.
4. Except as set out above, you keep all right, title, and interest in your
contribution. The rights that you grant to us under these terms are effective
on the date you first submitted a contribution to us, even if your submission
took place before the date you sign these terms.
5. You covenant, represent, warrant and agree that:
* Each contribution that you submit is and shall be an original work of
authorship and you can legally grant the rights set out in this SCA;
* to the best of your knowledge, each contribution will not violate any
third party's copyrights, trademarks, patents, or other intellectual
property rights; and
* each contribution shall be in compliance with U.S. export control laws and
other applicable export and import laws. You agree to notify us if you
become aware of any circumstance which would make any of the foregoing
representations inaccurate in any respect. We may publicly disclose your
participation in the project, including the fact that you have signed the SCA.
6. This SCA is governed by the laws of the State of California and applicable
U.S. Federal law. Any choice of law rules will not apply.
7. Please place an “x” on one of the applicable statement below. Please do NOT
mark both statements:
* [x] I am signing on behalf of myself as an individual and no other person
or entity, including my employer, has or will have rights with respect to my
contributions.
* [ ] I am signing on behalf of my employer or a legal entity and I have the
actual authority to contractually bind that entity.
## Contributor Details
| Field | Entry |
|------------------------------- | ------------------------- |
| Name | Claudiu-Vlad Ursache |
| Company name (if applicable) | |
| Title or role (if applicable) | |
| Date | 2018-02-04 |
| GitHub username | ursachec |
| Website (optional) | https://www.cvursache.com |

4
spacy/attrs.pxd
View File

@ -18,9 +18,9 @@ cdef enum attr_id_t:
IS_QUOTE
IS_LEFT_PUNCT
IS_RIGHT_PUNCT
IS_CURRENCY
FLAG18 = 18
FLAG19
FLAG19 = 19
FLAG20
FLAG21
FLAG22

2
spacy/attrs.pyx
View File

@ -21,7 +21,7 @@ IDS = {
"IS_QUOTE": IS_QUOTE,
"IS_LEFT_PUNCT": IS_LEFT_PUNCT,
"IS_RIGHT_PUNCT": IS_RIGHT_PUNCT,
"FLAG18": FLAG18,
"IS_CURRENCY": IS_CURRENCY,
"FLAG19": FLAG19,
"FLAG20": FLAG20,
"FLAG21": FLAG21,

8
spacy/cli/evaluate.py
View File

@ -3,8 +3,6 @@ from __future__ import unicode_literals, division, print_function
import plac
from timeit import default_timer as timer
import random
import numpy.random
from ..gold import GoldCorpus
from ..util import prints
@ -12,10 +10,6 @@ from .. import util
from .. import displacy
random.seed(0)
numpy.random.seed(0)
@plac.annotations(
model=("model name or path", "positional", None, str),
data_path=("location of JSON-formatted evaluation data", "positional",
@ -31,6 +25,8 @@ def evaluate(model, data_path, gpu_id=-1, gold_preproc=False, displacy_path=None
Evaluate a model. To render a sample of parses in a HTML file, set an
output directory as the displacy_path argument.
"""
util.fix_random_seed()
if gpu_id >= 0:
util.use_gpu(gpu_id)
util.set_env_log(False)

6
spacy/cli/train.py
View File

@ -6,8 +6,6 @@ from pathlib import Path
import tqdm
from thinc.neural._classes.model import Model
from timeit import default_timer as timer
import random
import numpy.random
from ..gold import GoldCorpus, minibatch
from ..util import prints
@ -16,9 +14,6 @@ from .. import about
from .. import displacy
from ..compat import json_dumps
random.seed(0)
numpy.random.seed(0)
@plac.annotations(
lang=("model language", "positional", None, str),
@ -45,6 +40,7 @@ def train(lang, output_dir, train_data, dev_data, n_iter=30, n_sents=0,
"""
Train a model. Expects data in spaCy's JSON format.
"""
util.fix_random_seed()
util.set_env_log(True)
n_sents = n_sents or None
output_path = util.ensure_path(output_dir)

11
spacy/compat.py
View File

@ -43,15 +43,15 @@ fix_text = ftfy.fix_text
copy_array = copy_array
izip = getattr(itertools, 'izip', zip)
is_python2 = six.PY2
is_python3 = six.PY3
is_windows = sys.platform.startswith('win')
is_linux = sys.platform.startswith('linux')
is_osx = sys.platform == 'darwin'
is_python2 = six.PY2
is_python3 = six.PY3
is_python_pre_3_5 = is_python2 or (is_python3 and sys.version_info[1]<5)
if is_python2:
import imp
bytes_ = str
unicode_ = unicode # noqa: F821
basestring_ = basestring # noqa: F821
@ -60,7 +60,6 @@ if is_python2:
path2str = lambda path: str(path).decode('utf8')
elif is_python3:
import importlib.util
bytes_ = bytes
unicode_ = str
basestring_ = str
@ -111,9 +110,11 @@ def normalize_string_keys(old):
def import_file(name, loc):
loc = str(loc)
if is_python2:
if is_python_pre_3_5:
import imp
return imp.load_source(name, loc)
else:
import importlib.util
spec = importlib.util.spec_from_file_location(name, str(loc))
module = importlib.util.module_from_spec(spec)
spec.loader.exec_module(module)

2
spacy/glossary.py
View File

@ -115,7 +115,7 @@ GLOSSARY = {
'ADJA': 'adjective, attributive',
'ADJD': 'adjective, adverbial or predicative',
'APPO': 'postposition',
'APRP': 'preposition; circumposition left',
'APPR': 'preposition; circumposition left',
'APPRART': 'preposition with article',
'APZR': 'circumposition right',
'ART': 'definite or indefinite article',

9
spacy/lang/lex_attrs.py
View File

@ -69,6 +69,14 @@ def is_right_punct(text):
return text in right_punct
def is_currency(text):
# can be overwritten by lang with list of currency words, e.g. dollar, euro
for char in text:
if unicodedata.category(char) != 'Sc':
return False
return True
def like_email(text):
return bool(_like_email(text))
@ -164,5 +172,6 @@ LEX_ATTRS = {
attrs.IS_QUOTE: is_quote,
attrs.IS_LEFT_PUNCT: is_left_punct,
attrs.IS_RIGHT_PUNCT: is_right_punct,
attrs.IS_CURRENCY: is_currency,
attrs.LIKE_URL: like_url
}

4
spacy/language.py
View File

@ -624,7 +624,7 @@ class Language(object):
deserializers = OrderedDict((
('vocab', lambda p: self.vocab.from_disk(p)),
('tokenizer', lambda p: self.tokenizer.from_disk(p, vocab=False)),
('meta.json', lambda p: self.meta.update(ujson.load(p.open('r'))))
('meta.json', lambda p: self.meta.update(util.read_json(p)))
))
for name, proc in self.pipeline:
if name in disable:
@ -720,5 +720,5 @@ class DisabledPipes(list):
def _pipe(func, docs):
for doc in docs:
func(doc)
doc = func(doc)
yield doc

10
spacy/lexeme.pyx
View File

@ -12,7 +12,7 @@ import numpy
from .typedefs cimport attr_t, flags_t
from .attrs cimport IS_ALPHA, IS_ASCII, IS_DIGIT, IS_LOWER, IS_PUNCT, IS_SPACE
from .attrs cimport IS_TITLE, IS_UPPER, LIKE_URL, LIKE_NUM, LIKE_EMAIL, IS_STOP
from .attrs cimport IS_BRACKET, IS_QUOTE, IS_LEFT_PUNCT, IS_RIGHT_PUNCT, IS_OOV
from .attrs cimport IS_BRACKET, IS_QUOTE, IS_LEFT_PUNCT, IS_RIGHT_PUNCT, IS_CURRENCY, IS_OOV
from .attrs cimport PROB
from .attrs import intify_attrs
from . import about
@ -474,6 +474,14 @@ cdef class Lexeme:
def __set__(self, bint x):
Lexeme.c_set_flag(self.c, IS_RIGHT_PUNCT, x)
property is_currency:
"""RETURNS (bool): Whether the lexeme is a currency symbol, e.g. $, €."""
def __get__(self):
return Lexeme.c_check_flag(self.c, IS_CURRENCY)
def __set__(self, bint x):
Lexeme.c_set_flag(self.c, IS_CURRENCY, x)
property like_url:
"""RETURNS (bool): Whether the lexeme resembles a URL."""
def __get__(self):

20
spacy/pipeline.pyx
View File

@ -144,7 +144,8 @@ class Pipe(object):
return create_default_optimizer(self.model.ops,
**self.cfg.get('optimizer', {}))
def begin_training(self, gold_tuples=tuple(), pipeline=None, sgd=None):
def begin_training(self, gold_tuples=tuple(), pipeline=None, sgd=None,
**kwargs):
"""Initialize the pipe for training, using data exampes if available.
If no model has been initialized yet, the model is added."""
if self.model is True:
@ -214,7 +215,8 @@ class Pipe(object):
def _load_cfg(path):
if path.exists():
return ujson.load(path.open())
with path.open() as file_:
return ujson.load(file_)
else:
return {}
@ -344,7 +346,8 @@ class Tensorizer(Pipe):
loss = (d_scores**2).sum()
return loss, d_scores
def begin_training(self, gold_tuples=tuple(), pipeline=None, sgd=None):
def begin_training(self, gold_tuples=tuple(), pipeline=None, sgd=None,
**kwargs):
"""Allocate models, pre-process training data and acquire an
optimizer.
@ -467,7 +470,8 @@ class Tagger(Pipe):
d_scores = self.model.ops.unflatten(d_scores, [len(d) for d in docs])
return float(loss), d_scores
def begin_training(self, gold_tuples=tuple(), pipeline=None, sgd=None):
def begin_training(self, gold_tuples=tuple(), pipeline=None, sgd=None,
**kwargs):
orig_tag_map = dict(self.vocab.morphology.tag_map)
new_tag_map = OrderedDict()
for raw_text, annots_brackets in gold_tuples:
@ -580,7 +584,8 @@ class Tagger(Pipe):
def load_model(p):
if self.model is True:
self.model = self.Model(self.vocab.morphology.n_tags, **self.cfg)
self.model.from_bytes(p.open('rb').read())
with p.open('rb') as file_:
self.model.from_bytes(file_.read())
def load_tag_map(p):
with p.open('rb') as file_:
@ -641,7 +646,7 @@ class MultitaskObjective(Tagger):
pass
def begin_training(self, gold_tuples=tuple(), pipeline=None, tok2vec=None,
sgd=None):
sgd=None, **kwargs):
gold_tuples = nonproj.preprocess_training_data(gold_tuples)
for raw_text, annots_brackets in gold_tuples:
for annots, brackets in annots_brackets:
@ -766,7 +771,7 @@ class SimilarityHook(Pipe):
def update(self, doc1_doc2, golds, sgd=None, drop=0.):
sims, bp_sims = self.model.begin_update(doc1_doc2, drop=drop)
def begin_training(self, _=tuple(), pipeline=None, sgd=None):
def begin_training(self, _=tuple(), pipeline=None, sgd=None, **kwargs):
"""Allocate model, using width from tensorizer in pipeline.
gold_tuples (iterable): Gold-standard training data.
@ -887,6 +892,7 @@ cdef class DependencyParser(Parser):
self._multitasks.append(labeller)
def init_multitask_objectives(self, gold_tuples, pipeline, sgd=None, **cfg):
self.add_multitask_objective('tag')
for labeller in self._multitasks:
tok2vec = self.model[0]
labeller.begin_training(gold_tuples, pipeline=pipeline,

4
spacy/symbols.pxd
View File

@ -17,9 +17,9 @@ cdef enum symbol_t:
IS_QUOTE
IS_LEFT_PUNCT
IS_RIGHT_PUNCT
IS_CURRENCY
FLAG18 = 18
FLAG19
FLAG19 = 19
FLAG20
FLAG21
FLAG22

2
spacy/symbols.pyx
View File

@ -22,8 +22,8 @@ IDS = {
"IS_QUOTE": IS_QUOTE,
"IS_LEFT_PUNCT": IS_LEFT_PUNCT,
"IS_RIGHT_PUNCT": IS_RIGHT_PUNCT,
"IS_CURRENCY": IS_CURRENCY,
"FLAG18": FLAG18,
"FLAG19": FLAG19,
"FLAG20": FLAG20,
"FLAG21": FLAG21,

16
spacy/syntax/arc_eager.pyx
View File

@ -390,6 +390,22 @@ cdef class ArcEager(TransitionSystem):
gold.c.labels[i] = self.strings.add(label)
return gold
def get_beam_parses(self, Beam beam):
parses = []
probs = beam.probs
for i in range(beam.size):
state = <StateC*>beam.at(i)
if state.is_final():
self.finalize_state(state)
prob = probs[i]
parse = []
for j in range(state.length):
head = state.H(j)
label = self.strings[state._sent[j].dep]
parse.append((head, j, label))
parses.append((prob, parse))
return parses
cdef Transition lookup_transition(self, object name) except *:
if '-' in name:
move_str, label_str = name.split('-', 1)

3
spacy/syntax/nn_parser.pyx
View File

@ -835,6 +835,7 @@ cdef class Parser:
sgd = self.create_optimizer()
self.model[1].begin_training(
self.model[1].ops.allocate((5, cfg['token_vector_width'])))
if pipeline is not None:
self.init_multitask_objectives(gold_tuples, pipeline, sgd=sgd, **cfg)
link_vectors_to_models(self.vocab)
else:
@ -887,7 +888,7 @@ cdef class Parser:
deserializers = {
'vocab': lambda p: self.vocab.from_disk(p),
'moves': lambda p: self.moves.from_disk(p, strings=False),
'cfg': lambda p: self.cfg.update(ujson.load(p.open())),
'cfg': lambda p: self.cfg.update(util.read_json(p)),
'model': lambda p: None
}
util.from_disk(path, deserializers, exclude)

9
spacy/tests/lang/test_attrs.py
View File

@ -2,7 +2,7 @@
from __future__ import unicode_literals
from ...attrs import intify_attrs, ORTH, NORM, LEMMA, IS_ALPHA
from ...lang.lex_attrs import is_punct, is_ascii, like_url, word_shape
from ...lang.lex_attrs import is_punct, is_ascii, is_currency, like_url, word_shape
import pytest
@ -37,6 +37,13 @@ def test_lex_attrs_is_ascii(text, match):
assert is_ascii(text) == match
@pytest.mark.parametrize('text,match', [('$', True), ('£', True), ('♥', False),
('€', True), ('¥', True), ('¢', True),
('a', False), ('www.google.com', False), ('dog', False)])
def test_lex_attrs_is_currency(text, match):
assert is_currency(text) == match
@pytest.mark.parametrize('text,match', [
('www.google.com', True), ('google.com', True), ('sydney.com', True),
('2girls1cup.org', True), ('http://stupid', True), ('www.hi', True),

23
spacy/tests/regression/test_issue1959.py Normal file
View File

@ -0,0 +1,23 @@
# coding: utf8
from __future__ import unicode_literals
import pytest
@pytest.mark.models('en')
def test_issue1959(EN):
texts = ['Apple is looking at buying U.K. startup for $1 billion.']
# nlp = load_test_model('en_core_web_sm')
EN.add_pipe(clean_component, name='cleaner', after='ner')
doc = EN(texts[0])
doc_pipe = [doc_pipe for doc_pipe in EN.pipe(texts)]
assert doc == doc_pipe[0]
def clean_component(doc):
""" Clean up text. Make lowercase and remove punctuation and stopwords """
# Remove punctuation, symbols (#) and stopwords
doc = [tok.text.lower() for tok in doc if (not tok.is_stop
and tok.pos_ != 'PUNCT' and
tok.pos_ != 'SYM')]
doc = ' '.join(doc)
return doc

28
spacy/tests/serialize/test_serialize_language.py Normal file
View File

@ -0,0 +1,28 @@
# coding: utf-8
from __future__ import unicode_literals
from ..util import make_tempdir
from ...language import Language
import pytest
@pytest.fixture
def meta_data():
return {
'name': 'name-in-fixture',
'version': 'version-in-fixture',
'description': 'description-in-fixture',
'author': 'author-in-fixture',
'email': 'email-in-fixture',
'url': 'url-in-fixture',
'license': 'license-in-fixture',
}
def test_serialize_language_meta_disk(meta_data):
language = Language(meta=meta_data)
with make_tempdir() as d:
language.to_disk(d)
new_language = Language().from_disk(d)
assert new_language.meta == language.meta

7
spacy/tokens/token.pyx
View File

@ -15,7 +15,7 @@ from ..lexeme cimport Lexeme
from .. import parts_of_speech
from ..attrs cimport IS_ALPHA, IS_ASCII, IS_DIGIT, IS_LOWER, IS_PUNCT, IS_SPACE
from ..attrs cimport IS_BRACKET, IS_QUOTE, IS_LEFT_PUNCT, IS_RIGHT_PUNCT
from ..attrs cimport IS_OOV, IS_TITLE, IS_UPPER, LIKE_URL, LIKE_NUM, LIKE_EMAIL
from ..attrs cimport IS_OOV, IS_TITLE, IS_UPPER, IS_CURRENCY, LIKE_URL, LIKE_NUM, LIKE_EMAIL
from ..attrs cimport IS_STOP, ID, ORTH, NORM, LOWER, SHAPE, PREFIX, SUFFIX
from ..attrs cimport LENGTH, CLUSTER, LEMMA, POS, TAG, DEP
from ..compat import is_config
@ -855,6 +855,11 @@ cdef class Token:
def __get__(self):
return Lexeme.c_check_flag(self.c.lex, IS_RIGHT_PUNCT)
property is_currency:
"""RETURNS (bool): Whether the token is a currency symbol."""
def __get__(self):
return Lexeme.c_check_flag(self.c.lex, IS_CURRENCY)
property like_url:
"""RETURNS (bool): Whether the token resembles a URL."""
def __get__(self):

6
spacy/util.py
View File

@ -17,6 +17,7 @@ from thinc.neural._classes.model import Model
import functools
import cytoolz
import itertools
import numpy.random
from .symbols import ORTH
from .compat import cupy, CudaStream, path2str, basestring_, input_, unicode_
@ -623,3 +624,8 @@ def use_gpu(gpu_id):
Model.ops = CupyOps()
Model.Ops = CupyOps
return device
def fix_random_seed(seed=0):
random.seed(seed)
numpy.random.seed(seed)

3
spacy/vectors.pyx
View File

@ -347,7 +347,8 @@ cdef class Vectors:
"""
def load_key2row(path):
if path.exists():
self.key2row = msgpack.load(path.open('rb'))
with path.open('rb') as file_:
self.key2row = msgpack.load(file_)
for key, row in self.key2row.items():
if row in self._unset:
self._unset.remove(row)

3
website/_includes/_navigation.jade
View File

@ -10,6 +10,9 @@ nav.c-nav.u-text.js-nav(class=landing ? "c-nav--theme" : null)
li.c-nav__menu__item(class=is_active ? "is-active" : null)
+a(url)(tabindex=is_active ? "-1" : null)=item
li.c-nav__menu__item.u-hidden-xs
+a("https://survey.spacy.io", true) User Survey 2018
li.c-nav__menu__item.u-hidden-xs
+a(gh("spaCy"))(aria-label="GitHub") #[+icon("github", 20)]

2
website/usage/_facts-figures/_benchmarks.jade
View File

@ -13,7 +13,7 @@ p
| Their results and subsequent discussions helped us develop a novel
| psychologically-motivated technique to improve spaCy's accuracy, which
| we published in joint work with Macquarie University
| #[+a("https://aclweb.org/anthology/D/D15/D15-1162.pdf") (Honnibal and Johnson, 2015)].
| #[+a("https://www.aclweb.org/anthology/D/D15/D15-1162.pdf") (Honnibal and Johnson, 2015)].
include _benchmarks-choi-2015

7
website/usage/_install/_troubleshooting.jade
View File

@ -38,9 +38,10 @@ p
| #[code spacy/data] directory. This means your user needs permission to do
| this. The above error mostly occurs when doing a system-wide installation,
| which will create the symlinks in a system directory. Run the
| #[code download] or #[code link] command as administrator, or use a
| #[code virtualenv] to install spaCy in a user directory, instead
| of doing a system-wide installation.
| #[code download] or #[code link] command as administrator (on Windows,
| simply right-click on your terminal or shell ans select "Run as
| Administrator"), or use a #[code virtualenv] to install spaCy in a user
| directory, instead of doing a system-wide installation.
+h(3, "no-cache-dir") No such option: --no-cache-dir

4
website/usage/_linguistic-features/_dependency-parse.jade
View File

@ -65,9 +65,9 @@ p
- var style = [0, 1, 0, 1, 0]
+annotation-row(["Autonomous", "amod", "cars", "NOUN", ""], style)
+annotation-row(["cars", "nsubj", "shift", "VERB", "Autonomous"], style)
+annotation-row(["shift", "ROOT", "shift", "VERB", "cars, liability"], style)
+annotation-row(["shift", "ROOT", "shift", "VERB", "cars, liability, toward"], style)
+annotation-row(["insurance", "compound", "liability", "NOUN", ""], style)
+annotation-row(["liability", "dobj", "shift", "VERB", "insurance, toward"], style)
+annotation-row(["liability", "dobj", "shift", "VERB", "insurance"], style)
+annotation-row(["toward", "prep", "liability", "NOUN", "manufacturers"], style)
+annotation-row(["manufacturers", "pobj", "toward", "ADP", ""], style)

2
website/usage/_linguistic-features/_named-entities.jade
View File

@ -80,7 +80,7 @@ p
doc.ents = [netflix_ent]
ents = [(e.text, e.start_char, e.end_char, e.label_) for e in doc.ents]
assert ents = [(u'Netflix', 0, 7, u'ORG')]
assert ents == [(u'Netflix', 0, 7, u'ORG')]
p
| Keep in mind that you need to create a #[code Span] with the start and

30
website/usage/_linguistic-features/_rule-based-matching.jade
View File

@ -54,10 +54,21 @@ p
p
| The matcher returns a list of #[code (match_id, start, end)] tuples – in
| this case, #[code [('HelloWorld', 0, 2)]], which maps to the span
| #[code doc[0:2]] of our original document. Optionally, we could also
| choose to add more than one pattern, for example to also match sequences
| without punctuation between "hello" and "world":
| this case, #[code [('15578876784678163569', 0, 2)]], which maps to the
| span #[code doc[0:2]] of our original document. The #[code match_id]
| is the #[+a("/usage/spacy-101#vocab") hash value] of the string ID
| "HelloWorld". To get the string value, you can look up the ID
| in the #[+api("stringstore") #[code StringStore]].
+code.
for match_id, start, end in matches:
string_id = nlp.vocab.strings[match_id] # 'HelloWorld'
span = doc[start:end] # the matched span
p
| Optionally, we could also choose to add more than one pattern, for
| example to also match sequences without punctuation between "hello" and
| "world":
+code.
matcher.add('HelloWorld', None,
@ -91,6 +102,10 @@ p
+cell.u-nowrap #[code LOWER]
+cell The lowercase form of the token text.
+row
+cell #[code LENGTH]
+cell The length of the token text.
+row
+cell.u-nowrap #[code IS_ALPHA], #[code IS_ASCII], #[code IS_DIGIT]
+cell
@ -117,6 +132,10 @@ p
| The token's simple and extended part-of-speech tag, dependency
| label, lemma, shape.
+row
+cell.u-nowrap #[code ENT_TYPE]
+cell The token's entity label.
+h(4, "adding-patterns-wildcard") Using wildcard token patterns
+tag-new(2)
@ -335,7 +354,8 @@ p
| flag.
+code.
IS_DEFINITELY = nlp.vocab.add_flag(re.compile(r'deff?in[ia]tely').match)
definitely_flag = lambda text: bool(re.compile(r'deff?in[ia]tely').match(text))
IS_DEFINITELY = nlp.vocab.add_flag(definitely_flag)
matcher = Matcher(nlp.vocab)
matcher.add('DEFINITELY', None, [{IS_DEFINITELY: True}])

2
website/usage/_linguistic-features/_tokenization.jade
View File

@ -54,7 +54,7 @@ p
+code.
import spacy
from spacy.symbols import ORTH, LEMMA, POS
from spacy.symbols import ORTH, LEMMA, POS, TAG
nlp = spacy.load('en')
doc = nlp(u'gimme that') # phrase to tokenize

10
website/usage/_models/_install-basics.jade
View File

@ -31,3 +31,13 @@ p
import spacy
nlp = spacy.load('en')
doc = nlp(u'This is a sentence.')
+infobox("Important note", "⚠️")
| To allow loading models via convenient shortcuts like #[code 'en'], spaCy
| will create a symlink within the #[code spacy/data] directory. This means
| that your user needs the #[strong required permissions].
| If you've installed spaCy to a system directory and don't have admin
| privileges, the model linking may fail. The easiest solution
| is to re-run the command as admin, or use a #[code virtualenv]. For more
| info on this, see the
| #[+a("/usage/#symlink-privilege") troubleshooting guide].

2
website/usage/_models/_install.jade
View File

@ -132,7 +132,7 @@ p
# set up shortcut link to load local model as "my_amazing_model"
python -m spacy link /Users/you/model my_amazing_model
+infobox("Important note")
+infobox("Important note", "⚠️")
| In order to create a symlink, your user needs the #[strong required permissions].
| If you've installed spaCy to a system directory and don't have admin
| privileges, the #[code spacy link] command may fail. The easiest solution