mirror of
https://github.com/explosion/spaCy.git
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e962784531
* Add Lemmatizer and simplify related components * Add `Lemmatizer` pipe with `lookup` and `rule` modes using the `Lookups` tables. * Reduce `Tagger` to a simple tagger that sets `Token.tag` (no pos or lemma) * Reduce `Morphology` to only keep track of morph tags (no tag map, lemmatizer, or morph rules) * Remove lemmatizer from `Vocab` * Adjust many many tests Differences: * No default lookup lemmas * No special treatment of TAG in `from_array` and similar required * Easier to modify labels in a `Tagger` * No extra strings added from morphology / tag map * Fix test * Initial fix for Lemmatizer config/serialization * Adjust init test to be more generic * Adjust init test to force empty Lookups * Add simple cache to rule-based lemmatizer * Convert language-specific lemmatizers Convert language-specific lemmatizers to component lemmatizers. Remove previous lemmatizer class. * Fix French and Polish lemmatizers * Remove outdated UPOS conversions * Update Russian lemmatizer init in tests * Add minimal init/run tests for custom lemmatizers * Add option to overwrite existing lemmas * Update mode setting, lookup loading, and caching * Make `mode` an immutable property * Only enforce strict `load_lookups` for known supported modes * Move caching into individual `_lemmatize` methods * Implement strict when lang is not found in lookups * Fix tables/lookups in make_lemmatizer * Reallow provided lookups and allow for stricter checks * Add lookups asset to all Lemmatizer pipe tests * Rename lookups in lemmatizer init test * Clean up merge * Refactor lookup table loading * Add helper from `load_lemmatizer_lookups` that loads required and optional lookups tables based on settings provided by a config. Additional slight refactor of lookups: * Add `Lookups.set_table` to set a table from a provided `Table` * Reorder class definitions to be able to specify type as `Table` * Move registry assets into test methods * Refactor lookups tables config Use class methods within `Lemmatizer` to provide the config for particular modes and to load the lookups from a config. * Add pipe and score to lemmatizer * Simplify Tagger.score * Add missing import * Clean up imports and auto-format * Remove unused kwarg * Tidy up and auto-format * Update docstrings for Lemmatizer Update docstrings for Lemmatizer. Additionally modify `is_base_form` API to take `Token` instead of individual features. * Update docstrings * Remove tag map values from Tagger.add_label * Update API docs * Fix relative link in Lemmatizer API docs
136 lines
4.9 KiB
Python
136 lines
4.9 KiB
Python
import pytest
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import pickle
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from spacy.vocab import Vocab
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from spacy.strings import StringStore
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from ..util import make_tempdir
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test_strings = [([], []), (["rats", "are", "cute"], ["i", "like", "rats"])]
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test_strings_attrs = [(["rats", "are", "cute"], "Hello")]
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@pytest.mark.parametrize("text", ["rat"])
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def test_serialize_vocab(en_vocab, text):
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text_hash = en_vocab.strings.add(text)
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vocab_bytes = en_vocab.to_bytes(exclude=["lookups"])
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new_vocab = Vocab().from_bytes(vocab_bytes)
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assert new_vocab.strings[text_hash] == text
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assert new_vocab.to_bytes(exclude=["lookups"]) == vocab_bytes
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@pytest.mark.parametrize("strings1,strings2", test_strings)
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def test_serialize_vocab_roundtrip_bytes(strings1, strings2):
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vocab1 = Vocab(strings=strings1)
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vocab2 = Vocab(strings=strings2)
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vocab1_b = vocab1.to_bytes()
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vocab2_b = vocab2.to_bytes()
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if strings1 == strings2:
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assert vocab1_b == vocab2_b
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else:
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assert vocab1_b != vocab2_b
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vocab1 = vocab1.from_bytes(vocab1_b)
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assert vocab1.to_bytes() == vocab1_b
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new_vocab1 = Vocab().from_bytes(vocab1_b)
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assert new_vocab1.to_bytes() == vocab1_b
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assert len(new_vocab1.strings) == len(strings1)
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assert sorted([s for s in new_vocab1.strings]) == sorted(strings1)
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@pytest.mark.parametrize("strings1,strings2", test_strings)
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def test_serialize_vocab_roundtrip_disk(strings1, strings2):
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vocab1 = Vocab(strings=strings1)
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vocab2 = Vocab(strings=strings2)
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with make_tempdir() as d:
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file_path1 = d / "vocab1"
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file_path2 = d / "vocab2"
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vocab1.to_disk(file_path1)
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vocab2.to_disk(file_path2)
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vocab1_d = Vocab().from_disk(file_path1)
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vocab2_d = Vocab().from_disk(file_path2)
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# check strings rather than lexemes, which are only reloaded on demand
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assert strings1 == [s for s in vocab1_d.strings]
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assert strings2 == [s for s in vocab2_d.strings]
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if strings1 == strings2:
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assert [s for s in vocab1_d.strings] == [s for s in vocab2_d.strings]
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else:
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assert [s for s in vocab1_d.strings] != [s for s in vocab2_d.strings]
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@pytest.mark.parametrize("strings,lex_attr", test_strings_attrs)
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def test_serialize_vocab_lex_attrs_bytes(strings, lex_attr):
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vocab1 = Vocab(strings=strings)
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vocab2 = Vocab()
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vocab1[strings[0]].norm_ = lex_attr
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assert vocab1[strings[0]].norm_ == lex_attr
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assert vocab2[strings[0]].norm_ != lex_attr
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vocab2 = vocab2.from_bytes(vocab1.to_bytes())
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assert vocab2[strings[0]].norm_ == lex_attr
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@pytest.mark.parametrize("strings,lex_attr", test_strings_attrs)
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def test_deserialize_vocab_seen_entries(strings, lex_attr):
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# Reported in #2153
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vocab = Vocab(strings=strings)
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vocab.from_bytes(vocab.to_bytes())
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assert len(vocab.strings) == len(strings)
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@pytest.mark.parametrize("strings,lex_attr", test_strings_attrs)
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def test_serialize_vocab_lex_attrs_disk(strings, lex_attr):
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vocab1 = Vocab(strings=strings)
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vocab2 = Vocab()
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vocab1[strings[0]].norm_ = lex_attr
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assert vocab1[strings[0]].norm_ == lex_attr
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assert vocab2[strings[0]].norm_ != lex_attr
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with make_tempdir() as d:
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file_path = d / "vocab"
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vocab1.to_disk(file_path)
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vocab2 = vocab2.from_disk(file_path)
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assert vocab2[strings[0]].norm_ == lex_attr
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@pytest.mark.parametrize("strings1,strings2", test_strings)
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def test_serialize_stringstore_roundtrip_bytes(strings1, strings2):
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sstore1 = StringStore(strings=strings1)
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sstore2 = StringStore(strings=strings2)
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sstore1_b = sstore1.to_bytes()
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sstore2_b = sstore2.to_bytes()
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if strings1 == strings2:
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assert sstore1_b == sstore2_b
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else:
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assert sstore1_b != sstore2_b
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sstore1 = sstore1.from_bytes(sstore1_b)
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assert sstore1.to_bytes() == sstore1_b
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new_sstore1 = StringStore().from_bytes(sstore1_b)
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assert new_sstore1.to_bytes() == sstore1_b
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assert list(new_sstore1) == strings1
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@pytest.mark.parametrize("strings1,strings2", test_strings)
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def test_serialize_stringstore_roundtrip_disk(strings1, strings2):
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sstore1 = StringStore(strings=strings1)
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sstore2 = StringStore(strings=strings2)
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with make_tempdir() as d:
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file_path1 = d / "strings1"
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file_path2 = d / "strings2"
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sstore1.to_disk(file_path1)
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sstore2.to_disk(file_path2)
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sstore1_d = StringStore().from_disk(file_path1)
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sstore2_d = StringStore().from_disk(file_path2)
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assert list(sstore1_d) == list(sstore1)
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assert list(sstore2_d) == list(sstore2)
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if strings1 == strings2:
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assert list(sstore1_d) == list(sstore2_d)
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else:
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assert list(sstore1_d) != list(sstore2_d)
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@pytest.mark.parametrize("strings,lex_attr", test_strings_attrs)
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def test_pickle_vocab(strings, lex_attr):
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vocab = Vocab(strings=strings)
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vocab[strings[0]].norm_ = lex_attr
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vocab_pickled = pickle.dumps(vocab)
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vocab_unpickled = pickle.loads(vocab_pickled)
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assert vocab.to_bytes() == vocab_unpickled.to_bytes()
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