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https://github.com/explosion/spaCy.git
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7ba3a5d95c
* Make serialization methods consistent exclude keyword argument instead of random named keyword arguments and deprecation handling * Update docs and add section on serialization fields
71 lines
2.1 KiB
Python
71 lines
2.1 KiB
Python
# coding: utf-8
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from __future__ import unicode_literals
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import pytest
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import re
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from spacy.language import Language
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from spacy.tokenizer import Tokenizer
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from ..util import make_tempdir
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@pytest.fixture
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def meta_data():
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return {
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"name": "name-in-fixture",
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"version": "version-in-fixture",
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"description": "description-in-fixture",
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"author": "author-in-fixture",
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"email": "email-in-fixture",
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"url": "url-in-fixture",
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"license": "license-in-fixture",
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"vectors": {"width": 0, "vectors": 0, "keys": 0, "name": None},
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}
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def test_serialize_language_meta_disk(meta_data):
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language = Language(meta=meta_data)
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with make_tempdir() as d:
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language.to_disk(d)
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new_language = Language().from_disk(d)
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assert new_language.meta == language.meta
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def test_serialize_with_custom_tokenizer():
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"""Test that serialization with custom tokenizer works without token_match.
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See: https://support.prodi.gy/t/how-to-save-a-custom-tokenizer/661/2
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"""
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prefix_re = re.compile(r"""1/|2/|:[0-9][0-9][A-K]:|:[0-9][0-9]:""")
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suffix_re = re.compile(r"""""")
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infix_re = re.compile(r"""[~]""")
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def custom_tokenizer(nlp):
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return Tokenizer(
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nlp.vocab,
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{},
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prefix_search=prefix_re.search,
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suffix_search=suffix_re.search,
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infix_finditer=infix_re.finditer,
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)
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nlp = Language()
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nlp.tokenizer = custom_tokenizer(nlp)
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with make_tempdir() as d:
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nlp.to_disk(d)
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def test_serialize_language_exclude(meta_data):
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name = "name-in-fixture"
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nlp = Language(meta=meta_data)
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assert nlp.meta["name"] == name
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new_nlp = Language().from_bytes(nlp.to_bytes())
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assert nlp.meta["name"] == name
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new_nlp = Language().from_bytes(nlp.to_bytes(), exclude=["meta"])
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assert not new_nlp.meta["name"] == name
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new_nlp = Language().from_bytes(nlp.to_bytes(exclude=["meta"]))
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assert not new_nlp.meta["name"] == name
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with pytest.raises(ValueError):
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nlp.to_bytes(meta=False)
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with pytest.raises(ValueError):
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Language().from_bytes(nlp.to_bytes(), meta=False)
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