spaCy/spacy/lang/uk/lemmatizer.py
Adriane Boyd f94168a41e
Backport bugfixes from v3.1.0 to v3.0 (#8739)
* Fix scoring normalization (#7629)

* fix scoring normalization

* score weights by total sum instead of per component

* cleanup

* more cleanup

* Use a context manager when reading model (fix #7036) (#8244)

* Fix other open calls without context managers (#8245)

* Don't add duplicate patterns all the time in EntityRuler (fix #8216) (#8246)

* Don't add duplicate patterns (fix #8216)

* Refactor EntityRuler init

This simplifies the EntityRuler init code. This is helpful as prep for
allowing the EntityRuler to reset itself.

* Make EntityRuler.clear reset matchers

Includes a new test for this.

* Tidy PhraseMatcher instantiation

Since the attr can be None safely now, the guard if is no longer
required here.

Also renamed the `_validate` attr. Maybe it's not needed?

* Fix NER test

* Add test to make sure patterns aren't increasing

* Move test to regression tests

* Exclude generated .cpp files from package (#8271)

* Fix non-deterministic deduplication in Greek lemmatizer (#8421)

* Fix setting empty entities in Example.from_dict (#8426)

* Filter W036 for entity ruler, etc. (#8424)

* Preserve paths.vectors/initialize.vectors setting in quickstart template

* Various fixes for spans in Docs.from_docs (#8487)

* Fix spans offsets if a doc ends in a single space and no space is
  inserted
* Also include spans key in merged doc for empty spans lists

* Fix duplicate spacy package CLI opts (#8551)

Use `-c` for `--code` and not additionally for `--create-meta`, in line
with the docs.

* Raise an error for textcat with <2 labels (#8584)

* Raise an error for textcat with <2 labels

Raise an error if initializing a `textcat` component without at least
two labels.

* Add similar note to docs

* Update positive_label description in API docs

* Add Macedonian models to website (#8637)

* Fix Azerbaijani init, extend lang init tests (#8656)

* Extend langs in initialize tests

* Fix az init

* Fix ru/uk lemmatizer mp with spawn (#8657)

Use an instance variable instead a class variable for the morphological
analzyer so that multiprocessing with spawn is possible.

* Use 0-vector for OOV lexemes (#8639)

* Set version to v3.0.7

Co-authored-by: Sofie Van Landeghem <svlandeg@users.noreply.github.com>
Co-authored-by: Paul O'Leary McCann <polm@dampfkraft.com>
2021-07-19 09:20:40 +02:00

31 lines
992 B
Python

from typing import Optional
from thinc.api import Model
from ..ru.lemmatizer import RussianLemmatizer
from ...vocab import Vocab
class UkrainianLemmatizer(RussianLemmatizer):
def __init__(
self,
vocab: Vocab,
model: Optional[Model],
name: str = "lemmatizer",
*,
mode: str = "pymorphy2",
overwrite: bool = False,
) -> None:
if mode == "pymorphy2":
try:
from pymorphy2 import MorphAnalyzer
except ImportError:
raise ImportError(
"The Ukrainian lemmatizer mode 'pymorphy2' requires the "
"pymorphy2 library and dictionaries. Install them with: "
"pip install pymorphy2 pymorphy2-dicts-uk"
) from None
if getattr(self, "_morph", None) is None:
self._morph = MorphAnalyzer(lang="uk")
super().__init__(vocab, model, name, mode=mode, overwrite=overwrite)