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Merge pull request #5367 from adrianeboyd/feature/simplify-warnings-v2

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Ines Montani 2020-04-29 12:55:37 +02:00 committed by GitHub
commit efec28ce70
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20 changed files with 80 additions and 131 deletions
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4
spacy/__init__.py
View File

@ -13,7 +13,7 @@ from . import pipeline
from .cli.info import info as cli_info
from .glossary import explain
from .about import __version__
from .errors import Errors, Warnings, deprecation_warning
from .errors import Errors, Warnings
from . import util
from .util import registry
from .language import component
@ -26,7 +26,7 @@ if sys.maxunicode == 65535:
def load(name, **overrides):
depr_path = overrides.get("path")
if depr_path not in (True, False, None):
deprecation_warning(Warnings.W001.format(path=depr_path))
warnings.warn(Warnings.W001.format(path=depr_path), DeprecationWarning)
return util.load_model(name, **overrides)

7
spacy/_ml.py
View File

@ -2,6 +2,7 @@
from __future__ import unicode_literals
import numpy
import warnings
from thinc.v2v import Model, Maxout, Softmax, Affine, ReLu
from thinc.t2t import ExtractWindow, ParametricAttention
from thinc.t2v import Pooling, sum_pool, mean_pool
@ -22,7 +23,7 @@ from thinc.neural._classes.affine import _set_dimensions_if_needed
import thinc.extra.load_nlp
from .attrs import ID, ORTH, LOWER, NORM, PREFIX, SUFFIX, SHAPE
from .errors import Errors, user_warning, Warnings
from .errors import Errors, Warnings
from . import util
from . import ml as new_ml
from .ml import _legacy_tok2vec
@ -283,7 +284,7 @@ def link_vectors_to_models(vocab):
if vectors.name is None:
vectors.name = VECTORS_KEY
if vectors.data.size != 0:
user_warning(Warnings.W020.format(shape=vectors.data.shape))
warnings.warn(Warnings.W020.format(shape=vectors.data.shape))
ops = Model.ops
for word in vocab:
if word.orth in vectors.key2row:
@ -299,7 +300,7 @@ def link_vectors_to_models(vocab):
# This is a hack to avoid the problem in #3853.
old_name = vectors.name
new_name = vectors.name + "_%d" % data.shape[0]
user_warning(Warnings.W019.format(old=old_name, new=new_name))
warnings.warn(Warnings.W019.format(old=old_name, new=new_name))
vectors.name = new_name
key = (ops.device, vectors.name)
thinc.extra.load_nlp.VECTORS[key] = data

6
spacy/analysis.py
View File

@ -1,11 +1,13 @@
# coding: utf8
from __future__ import unicode_literals
import warnings
from collections import OrderedDict
from wasabi import Printer
from .tokens import Doc, Token, Span
from .errors import Errors, Warnings, user_warning
from .errors import Errors, Warnings
def analyze_pipes(pipeline, name, pipe, index, warn=True):
@ -34,7 +36,7 @@ def analyze_pipes(pipeline, name, pipe, index, warn=True):
if not fulfilled:
problems.append(annot)
if warn:
user_warning(Warnings.W025.format(name=name, attr=annot))
warnings.warn(Warnings.W025.format(name=name, attr=annot))
return problems

5
spacy/cli/init_model.py
View File

@ -12,10 +12,11 @@ import tarfile
import gzip
import zipfile
import srsly
import warnings
from wasabi import msg
from ..vectors import Vectors
from ..errors import Errors, Warnings, user_warning
from ..errors import Errors, Warnings
from ..util import ensure_path, get_lang_class, OOV_RANK
try:
@ -246,7 +247,7 @@ def read_freqs(freqs_loc, max_length=100, min_doc_freq=5, min_freq=50):
def read_clusters(clusters_loc):
clusters = {}
if ftfy is None:
user_warning(Warnings.W004)
warnings.warn(Warnings.W004)
with clusters_loc.open() as f:
for line in tqdm(f):
try:

10
spacy/displacy/__init__.py
View File

@ -7,10 +7,12 @@ USAGE: https://spacy.io/usage/visualizers
"""
from __future__ import unicode_literals
import warnings
from .render import DependencyRenderer, EntityRenderer
from ..tokens import Doc, Span
from ..compat import b_to_str
from ..errors import Errors, Warnings, user_warning
from ..errors import Errors, Warnings
from ..util import is_in_jupyter
@ -89,7 +91,7 @@ def serve(
from wsgiref import simple_server
if is_in_jupyter():
user_warning(Warnings.W011)
warnings.warn(Warnings.W011)
render(docs, style=style, page=page, minify=minify, options=options, manual=manual)
httpd = simple_server.make_server(host, port, app)
@ -119,7 +121,7 @@ def parse_deps(orig_doc, options={}):
"""
doc = Doc(orig_doc.vocab).from_bytes(orig_doc.to_bytes(exclude=["user_data"]))
if not doc.is_parsed:
user_warning(Warnings.W005)
warnings.warn(Warnings.W005)
if options.get("collapse_phrases", False):
with doc.retokenize() as retokenizer:
for np in list(doc.noun_chunks):
@ -184,7 +186,7 @@ def parse_ents(doc, options={}):
for ent in doc.ents
]
if not ents:
user_warning(Warnings.W006)
warnings.warn(Warnings.W006)
title = doc.user_data.get("title", None) if hasattr(doc, "user_data") else None
settings = get_doc_settings(doc)
return {"text": doc.text, "ents": ents, "title": title, "settings": settings}

69
spacy/errors.py
View File

@ -1,11 +1,6 @@
# coding: utf8
from __future__ import unicode_literals
import os
import warnings
import inspect
def add_codes(err_cls):
"""Add error codes to string messages via class attribute names."""
@ -93,8 +88,7 @@ class Warnings(object):
W022 = ("Training a new part-of-speech tagger using a model with no "
"lemmatization rules or data. This means that the trained model "
"may not be able to lemmatize correctly. If this is intentional "
"or the language you're using doesn't have lemmatization data, "
"you can ignore this warning by setting SPACY_WARNING_IGNORE=W022. "
"or the language you're using doesn't have lemmatization data. "
"If this is surprising, make sure you have the spacy-lookups-data "
"package installed.")
W023 = ("Multiprocessing of Language.pipe is not supported in Python 2. "
@ -595,64 +589,3 @@ class MatchPatternError(ValueError):
class AlignmentError(ValueError):
pass
class ModelsWarning(UserWarning):
pass
WARNINGS = {
"user": UserWarning,
"deprecation": DeprecationWarning,
"models": ModelsWarning,
}
def _get_warn_types(arg):
if arg == "": # don't show any warnings
return []
if not arg or arg == "all": # show all available warnings
return WARNINGS.keys()
return [w_type.strip() for w_type in arg.split(",") if w_type.strip() in WARNINGS]
def _get_warn_excl(arg):
if not arg:
return []
return [w_id.strip() for w_id in arg.split(",")]
SPACY_WARNING_FILTER = os.environ.get("SPACY_WARNING_FILTER")
SPACY_WARNING_TYPES = _get_warn_types(os.environ.get("SPACY_WARNING_TYPES"))
SPACY_WARNING_IGNORE = _get_warn_excl(os.environ.get("SPACY_WARNING_IGNORE"))
def user_warning(message):
_warn(message, "user")
def deprecation_warning(message):
_warn(message, "deprecation")
def models_warning(message):
_warn(message, "models")
def _warn(message, warn_type="user"):
"""
message (unicode): The message to display.
category (Warning): The Warning to show.
"""
if message.startswith("["):
w_id = message.split("[", 1)[1].split("]", 1)[0] # get ID from string
else:
w_id = None
ignore_warning = w_id and w_id in SPACY_WARNING_IGNORE
if warn_type in SPACY_WARNING_TYPES and not ignore_warning:
category = WARNINGS[warn_type]
stack = inspect.stack()[-1]
with warnings.catch_warnings():
if SPACY_WARNING_FILTER:
warnings.simplefilter(SPACY_WARNING_FILTER, category)
warnings.warn_explicit(message, category, stack[1], stack[2])

7
spacy/gold.pyx
View File

@ -10,10 +10,11 @@ import shutil
import itertools
from pathlib import Path
import srsly
import warnings
from .syntax import nonproj
from .tokens import Doc, Span
from .errors import Errors, AlignmentError, user_warning, Warnings
from .errors import Errors, AlignmentError, Warnings
from .compat import path2str
from . import util
from .util import minibatch, itershuffle
@ -508,7 +509,7 @@ def _json_iterate(loc):
py_raw = file_.read()
cdef long file_length = len(py_raw)
if file_length > 2 ** 30:
user_warning(Warnings.W027.format(size=file_length))
warnings.warn(Warnings.W027.format(size=file_length))
raw = <char*>py_raw
cdef int square_depth = 0
@ -690,7 +691,7 @@ cdef class GoldParse:
else:
words_offset -= 1
if len(entities) != len(words):
user_warning(Warnings.W029.format(text=doc.text))
warnings.warn(Warnings.W029.format(text=doc.text))
entities = ["-" for _ in words]
# These are filled by the tagger/parser/entity recogniser

12
spacy/kb.pyx
View File

@ -1,7 +1,9 @@
# cython: infer_types=True
# cython: profile=True
# coding: utf8
from spacy.errors import Errors, Warnings, user_warning
import warnings
from spacy.errors import Errors, Warnings
from pathlib import Path
from cymem.cymem cimport Pool
@ -115,7 +117,7 @@ cdef class KnowledgeBase:
# Return if this entity was added before
if entity_hash in self._entry_index:
user_warning(Warnings.W018.format(entity=entity))
warnings.warn(Warnings.W018.format(entity=entity))
return
# Raise an error if the provided entity vector is not of the correct length
@ -147,7 +149,7 @@ cdef class KnowledgeBase:
# only process this entity if its unique ID hadn't been added before
entity_hash = self.vocab.strings.add(entity_list[i])
if entity_hash in self._entry_index:
user_warning(Warnings.W018.format(entity=entity_list[i]))
warnings.warn(Warnings.W018.format(entity=entity_list[i]))
else:
entity_vector = vector_list[i]
@ -195,7 +197,7 @@ cdef class KnowledgeBase:
# Check whether this alias was added before
if alias_hash in self._alias_index:
user_warning(Warnings.W017.format(alias=alias))
warnings.warn(Warnings.W017.format(alias=alias))
return
cdef vector[int64_t] entry_indices
@ -252,7 +254,7 @@ cdef class KnowledgeBase:
if is_present:
if not ignore_warnings:
user_warning(Warnings.W024.format(entity=entity, alias=alias))
warnings.warn(Warnings.W024.format(entity=entity, alias=alias))
else:
entry_indices.push_back(int(entry_index))
alias_entry.entry_indices = entry_indices

15
spacy/language.py
View File

@ -3,6 +3,7 @@ from __future__ import absolute_import, unicode_literals
import random
import itertools
import warnings
from thinc.extra import load_nlp
@ -34,7 +35,7 @@ from .lang.tokenizer_exceptions import TOKEN_MATCH
from .lang.tag_map import TAG_MAP
from .tokens import Doc
from .lang.lex_attrs import LEX_ATTRS, is_stop
from .errors import Errors, Warnings, deprecation_warning, user_warning
from .errors import Errors, Warnings
from . import util
from . import about
@ -758,10 +759,10 @@ class Language(object):
DOCS: https://spacy.io/api/language#pipe
"""
if is_python2 and n_process != 1:
user_warning(Warnings.W023)
warnings.warn(Warnings.W023)
n_process = 1
if n_threads != -1:
deprecation_warning(Warnings.W016)
warnings.warn(Warnings.W016, DeprecationWarning)
if n_process == -1:
n_process = mp.cpu_count()
if as_tuples:
@ -896,7 +897,7 @@ class Language(object):
DOCS: https://spacy.io/api/language#to_disk
"""
if disable is not None:
deprecation_warning(Warnings.W014)
warnings.warn(Warnings.W014, DeprecationWarning)
exclude = disable
path = util.ensure_path(path)
serializers = OrderedDict()
@ -929,7 +930,7 @@ class Language(object):
DOCS: https://spacy.io/api/language#from_disk
"""
if disable is not None:
deprecation_warning(Warnings.W014)
warnings.warn(Warnings.W014, DeprecationWarning)
exclude = disable
path = util.ensure_path(path)
deserializers = OrderedDict()
@ -964,7 +965,7 @@ class Language(object):
DOCS: https://spacy.io/api/language#to_bytes
"""
if disable is not None:
deprecation_warning(Warnings.W014)
warnings.warn(Warnings.W014, DeprecationWarning)
exclude = disable
serializers = OrderedDict()
serializers["vocab"] = lambda: self.vocab.to_bytes()
@ -989,7 +990,7 @@ class Language(object):
DOCS: https://spacy.io/api/language#from_bytes
"""
if disable is not None:
deprecation_warning(Warnings.W014)
warnings.warn(Warnings.W014, DeprecationWarning)
exclude = disable
deserializers = OrderedDict()
deserializers["meta.json"] = lambda b: self.meta.update(srsly.json_loads(b))

5
spacy/lexeme.pyx
View File

@ -9,6 +9,7 @@ cimport numpy as np
np.import_array()
import numpy
import warnings
from thinc.neural.util import get_array_module
from libc.stdint cimport UINT64_MAX
@ -19,7 +20,7 @@ from .attrs cimport IS_BRACKET, IS_QUOTE, IS_LEFT_PUNCT, IS_RIGHT_PUNCT
from .attrs cimport IS_CURRENCY, IS_OOV, PROB
from .attrs import intify_attrs
from .errors import Errors, Warnings, user_warning
from .errors import Errors, Warnings
OOV_RANK = UINT64_MAX
@ -130,7 +131,7 @@ cdef class Lexeme:
if self.c.orth == other[0].orth:
return 1.0
if self.vector_norm == 0 or other.vector_norm == 0:
user_warning(Warnings.W008.format(obj="Lexeme"))
warnings.warn(Warnings.W008.format(obj="Lexeme"))
return 0.0
vector = self.vector
xp = get_array_module(vector)

5
spacy/matcher/matcher.pyx
View File

@ -9,6 +9,7 @@ from murmurhash.mrmr cimport hash64
import re
import srsly
import warnings
from ..typedefs cimport attr_t
from ..structs cimport TokenC
@ -20,7 +21,7 @@ from ..attrs cimport ID, attr_id_t, NULL_ATTR, ORTH, POS, TAG, DEP, LEMMA
from ._schemas import TOKEN_PATTERN_SCHEMA
from ..util import get_json_validator, validate_json
from ..errors import Errors, MatchPatternError, Warnings, deprecation_warning
from ..errors import Errors, MatchPatternError, Warnings
from ..strings import get_string_id
from ..attrs import IDS
@ -195,7 +196,7 @@ cdef class Matcher:
YIELDS (Doc): Documents, in order.
"""
if n_threads != -1:
deprecation_warning(Warnings.W016)
warnings.warn(Warnings.W016, DeprecationWarning)
if as_tuples:
for doc, context in docs:

12
spacy/matcher/phrasematcher.pyx
View File

@ -6,13 +6,15 @@ from libc.stdint cimport uintptr_t
from preshed.maps cimport map_init, map_set, map_get, map_clear, map_iter
import warnings
from ..attrs cimport ORTH, POS, TAG, DEP, LEMMA
from ..structs cimport TokenC
from ..tokens.token cimport Token
from ..typedefs cimport attr_t
from ._schemas import TOKEN_PATTERN_SCHEMA
from ..errors import Errors, Warnings, deprecation_warning, user_warning
from ..errors import Errors, Warnings
cdef class PhraseMatcher:
@ -39,7 +41,7 @@ cdef class PhraseMatcher:
DOCS: https://spacy.io/api/phrasematcher#init
"""
if max_length != 0:
deprecation_warning(Warnings.W010)
warnings.warn(Warnings.W010, DeprecationWarning)
self.vocab = vocab
self._callbacks = {}
self._docs = {}
@ -195,7 +197,7 @@ cdef class PhraseMatcher:
if self._validate and (doc.is_tagged or doc.is_parsed) \
and self.attr not in (DEP, POS, TAG, LEMMA):
string_attr = self.vocab.strings[self.attr]
user_warning(Warnings.W012.format(key=key, attr=string_attr))
warnings.warn(Warnings.W012.format(key=key, attr=string_attr))
keyword = self._convert_to_array(doc)
else:
keyword = doc
@ -204,7 +206,7 @@ cdef class PhraseMatcher:
current_node = self.c_map
for token in keyword:
if token == self._terminal_hash:
user_warning(Warnings.W021)
warnings.warn(Warnings.W021)
break
result = <MapStruct*>map_get(current_node, token)
if not result:
@ -306,7 +308,7 @@ cdef class PhraseMatcher:
DOCS: https://spacy.io/api/phrasematcher#pipe
"""
if n_threads != -1:
deprecation_warning(Warnings.W016)
warnings.warn(Warnings.W016, DeprecationWarning)
if as_tuples:
for doc, context in stream:
matches = self(doc)

5
spacy/pipeline/pipes.pyx
View File

@ -6,6 +6,7 @@ from __future__ import unicode_literals
import numpy
import srsly
import random
import warnings
from collections import OrderedDict
from thinc.api import chain
from thinc.v2v import Affine, Maxout, Softmax
@ -32,7 +33,7 @@ from .._ml import build_text_classifier, build_simple_cnn_text_classifier
from .._ml import build_bow_text_classifier, build_nel_encoder
from .._ml import link_vectors_to_models, zero_init, flatten
from .._ml import masked_language_model, create_default_optimizer, get_cossim_loss
from ..errors import Errors, TempErrors, user_warning, Warnings
from ..errors import Errors, TempErrors, Warnings
from .. import util
@ -514,7 +515,7 @@ class Tagger(Pipe):
**kwargs):
lemma_tables = ["lemma_rules", "lemma_index", "lemma_exc", "lemma_lookup"]
if not any(table in self.vocab.lookups for table in lemma_tables):
user_warning(Warnings.W022)
warnings.warn(Warnings.W022)
orig_tag_map = dict(self.vocab.morphology.tag_map)
new_tag_map = OrderedDict()
for raw_text, annots_brackets in get_gold_tuples():

3
spacy/tests/doc/test_doc_api.py
View File

@ -6,7 +6,6 @@ import pytest
import numpy
from spacy.tokens import Doc, Span
from spacy.vocab import Vocab
from spacy.errors import ModelsWarning
from spacy.attrs import ENT_TYPE, ENT_IOB, SENT_START, HEAD, DEP
from ..util import get_doc
@ -216,7 +215,7 @@ def test_doc_api_similarity_match():
assert doc.similarity(doc[0]) == 1.0
assert doc.similarity(doc.vocab["a"]) == 1.0
doc2 = Doc(doc.vocab, words=["a", "b", "c"])
with pytest.warns(ModelsWarning):
with pytest.warns(UserWarning):
assert doc.similarity(doc2[:1]) == 1.0
assert doc.similarity(doc2) == 0.0

3
spacy/tests/doc/test_span.py
View File

@ -5,7 +5,6 @@ import pytest
from spacy.attrs import ORTH, LENGTH
from spacy.tokens import Doc, Span
from spacy.vocab import Vocab
from spacy.errors import ModelsWarning
from spacy.util import filter_spans
from ..util import get_doc
@ -124,7 +123,7 @@ def test_span_similarity_match():
doc = Doc(Vocab(), words=["a", "b", "a", "b"])
span1 = doc[:2]
span2 = doc[2:]
with pytest.warns(ModelsWarning):
with pytest.warns(UserWarning):
assert span1.similarity(span2) == 1.0
assert span1.similarity(doc) == 0.0
assert span1[:1].similarity(doc.vocab["a"]) == 1.0

7
spacy/tokenizer.pyx
View File

@ -11,6 +11,7 @@ cimport cython
from collections import OrderedDict
import re
import warnings
from .tokens.doc cimport Doc
from .strings cimport hash_string
@ -18,7 +19,7 @@ from .compat import unescape_unicode, basestring_
from .attrs import intify_attrs
from .symbols import ORTH
from .errors import Errors, Warnings, deprecation_warning
from .errors import Errors, Warnings
from . import util
@ -115,7 +116,7 @@ cdef class Tokenizer:
return (self.__class__, args, None, None)
cpdef Doc tokens_from_list(self, list strings):
deprecation_warning(Warnings.W002)
warnings.warn(Warnings.W002, DeprecationWarning)
return Doc(self.vocab, words=strings)
@cython.boundscheck(False)
@ -181,7 +182,7 @@ cdef class Tokenizer:
DOCS: https://spacy.io/api/tokenizer#pipe
"""
if n_threads != -1:
deprecation_warning(Warnings.W016)
warnings.warn(Warnings.W016, DeprecationWarning)
for text in texts:
yield self(text)

14
spacy/tokens/doc.pyx
View File

@ -16,6 +16,7 @@ import numpy.linalg
import struct
import srsly
from thinc.neural.util import get_array_module, copy_array
import warnings
from .span cimport Span
from .token cimport Token
@ -29,7 +30,6 @@ from ..parts_of_speech cimport CCONJ, PUNCT, NOUN, univ_pos_t
from ..attrs import intify_attrs, IDS
from ..util import normalize_slice
from ..compat import is_config, copy_reg, pickle, basestring_
from ..errors import deprecation_warning, models_warning, user_warning
from ..errors import Errors, Warnings
from .. import util
from .underscore import Underscore, get_ext_args
@ -396,9 +396,9 @@ cdef class Doc:
if similar:
return 1.0
if self.vocab.vectors.n_keys == 0:
models_warning(Warnings.W007.format(obj="Doc"))
warnings.warn(Warnings.W007.format(obj="Doc"))
if self.vector_norm == 0 or other.vector_norm == 0:
user_warning(Warnings.W008.format(obj="Doc"))
warnings.warn(Warnings.W008.format(obj="Doc"))
return 0.0
vector = self.vector
xp = get_array_module(vector)
@ -787,7 +787,7 @@ cdef class Doc:
attrs = [(IDS[id_.upper()] if hasattr(id_, "upper") else id_)
for id_ in attrs]
if array.dtype != numpy.uint64:
user_warning(Warnings.W028.format(type=array.dtype))
warnings.warn(Warnings.W028.format(type=array.dtype))
if SENT_START in attrs and HEAD in attrs:
raise ValueError(Errors.E032)
@ -1040,10 +1040,10 @@ cdef class Doc:
indices did not fall at token boundaries.
"""
cdef unicode tag, lemma, ent_type
deprecation_warning(Warnings.W013.format(obj="Doc"))
warnings.warn(Warnings.W013.format(obj="Doc"), DeprecationWarning)
# TODO: ENT_KB_ID ?
if len(args) == 3:
deprecation_warning(Warnings.W003)
warnings.warn(Warnings.W003, DeprecationWarning)
tag, lemma, ent_type = args
attributes[TAG] = tag
attributes[LEMMA] = lemma
@ -1183,7 +1183,7 @@ cdef int set_children_from_heads(TokenC* tokens, int length) except -1:
while not heads_within_sents:
heads_within_sents = _set_lr_kids_and_edges(tokens, length, loop_count)
if loop_count > 10:
user_warning(Warnings.W026)
warnings.warn(Warnings.W026)
break
loop_count += 1
# Set sentence starts

10
spacy/tokens/span.pyx
View File

@ -6,6 +6,7 @@ from libc.math cimport sqrt
import numpy
import numpy.linalg
import warnings
from thinc.neural.util import get_array_module
from collections import defaultdict
@ -21,8 +22,7 @@ from ..symbols cimport dep
from ..util import normalize_slice
from ..compat import is_config, basestring_
from ..errors import Errors, TempErrors, Warnings, user_warning, models_warning
from ..errors import deprecation_warning
from ..errors import Errors, TempErrors, Warnings
from .underscore import Underscore, get_ext_args
@ -292,7 +292,7 @@ cdef class Span:
attributes are inherited from the syntactic root token of the span.
RETURNS (Token): The newly merged token.
"""
deprecation_warning(Warnings.W013.format(obj="Span"))
warnings.warn(Warnings.W013.format(obj="Span"), DeprecationWarning)
return self.doc.merge(self.start_char, self.end_char, *args,
**attributes)
@ -333,9 +333,9 @@ cdef class Span:
if similar:
return 1.0
if self.vocab.vectors.n_keys == 0:
models_warning(Warnings.W007.format(obj="Span"))
warnings.warn(Warnings.W007.format(obj="Span"))
if self.vector_norm == 0.0 or other.vector_norm == 0.0:
user_warning(Warnings.W008.format(obj="Span"))
warnings.warn(Warnings.W008.format(obj="Span"))
return 0.0
vector = self.vector
xp = get_array_module(vector)

7
spacy/tokens/token.pyx
View File

@ -10,6 +10,7 @@ cimport numpy as np
np.import_array()
import numpy
import warnings
from thinc.neural.util import get_array_module
from ..typedefs cimport hash_t
@ -24,7 +25,7 @@ from ..symbols cimport conj
from .. import parts_of_speech
from .. import util
from ..compat import is_config
from ..errors import Errors, Warnings, user_warning, models_warning
from ..errors import Errors, Warnings
from .underscore import Underscore, get_ext_args
from .morphanalysis cimport MorphAnalysis
@ -211,9 +212,9 @@ cdef class Token:
if self.c.lex.orth == other.orth:
return 1.0
if self.vocab.vectors.n_keys == 0:
models_warning(Warnings.W007.format(obj="Token"))
warnings.warn(Warnings.W007.format(obj="Token"))
if self.vector_norm == 0 or other.vector_norm == 0:
user_warning(Warnings.W008.format(obj="Token"))
warnings.warn(Warnings.W008.format(obj="Token"))
return 0.0
vector = self.vector
xp = get_array_module(vector)

5
spacy/util.py
View File

@ -16,6 +16,7 @@ import numpy
import srsly
import catalogue
import sys
import warnings
try:
import jsonschema
@ -30,7 +31,7 @@ except ImportError:
from .symbols import ORTH
from .compat import cupy, CudaStream, path2str, basestring_, unicode_
from .compat import import_file
from .errors import Errors, Warnings, deprecation_warning
from .errors import Errors, Warnings
_data_path = Path(__file__).parent / "data"
@ -749,7 +750,7 @@ def get_serialization_exclude(serializers, exclude, kwargs):
options = [name.split(".")[0] for name in serializers]
for key, value in kwargs.items():
if key in ("vocab",) and value is False:
deprecation_warning(Warnings.W015.format(arg=key))
warnings.warn(Warnings.W015.format(arg=key), DeprecationWarning)
exclude.append(key)
elif key.split(".")[0] in options:
raise ValueError(Errors.E128.format(arg=key))