mirror of
https://github.com/explosion/spaCy.git
synced 2024-11-11 04:08:09 +03:00
50 lines
1.5 KiB
Python
50 lines
1.5 KiB
Python
# coding: utf8
|
|
from __future__ import unicode_literals
|
|
|
|
from spacy.lang.en import English
|
|
from spacy.tokenizer import Tokenizer
|
|
from spacy import util
|
|
|
|
from ..util import make_tempdir
|
|
|
|
|
|
def test_issue4190():
|
|
test_string = "Test c."
|
|
# Load default language
|
|
nlp_1 = English()
|
|
doc_1a = nlp_1(test_string)
|
|
result_1a = [token.text for token in doc_1a] # noqa: F841
|
|
# Modify tokenizer
|
|
customize_tokenizer(nlp_1)
|
|
doc_1b = nlp_1(test_string)
|
|
result_1b = [token.text for token in doc_1b]
|
|
# Save and Reload
|
|
with make_tempdir() as model_dir:
|
|
nlp_1.to_disk(model_dir)
|
|
nlp_2 = util.load_model(model_dir)
|
|
# This should be the modified tokenizer
|
|
doc_2 = nlp_2(test_string)
|
|
result_2 = [token.text for token in doc_2]
|
|
assert result_1b == result_2
|
|
|
|
|
|
def customize_tokenizer(nlp):
|
|
prefix_re = util.compile_prefix_regex(nlp.Defaults.prefixes)
|
|
suffix_re = util.compile_suffix_regex(nlp.Defaults.suffixes)
|
|
infix_re = util.compile_infix_regex(nlp.Defaults.infixes)
|
|
# Remove all exceptions where a single letter is followed by a period (e.g. 'h.')
|
|
exceptions = {
|
|
k: v
|
|
for k, v in dict(nlp.Defaults.tokenizer_exceptions).items()
|
|
if not (len(k) == 2 and k[1] == ".")
|
|
}
|
|
new_tokenizer = Tokenizer(
|
|
nlp.vocab,
|
|
exceptions,
|
|
prefix_search=prefix_re.search,
|
|
suffix_search=suffix_re.search,
|
|
infix_finditer=infix_re.finditer,
|
|
token_match=nlp.tokenizer.token_match,
|
|
)
|
|
nlp.tokenizer = new_tokenizer
|