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244 lines
7.5 KiB
Python
244 lines
7.5 KiB
Python
import pytest
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from spacy.language import Language
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@pytest.fixture
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def nlp():
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return Language()
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@Language.component("new_pipe")
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def new_pipe(doc):
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return doc
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@Language.component("other_pipe")
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def other_pipe(doc):
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return doc
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def test_add_pipe_no_name(nlp):
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nlp.add_pipe("new_pipe")
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assert "new_pipe" in nlp.pipe_names
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def test_add_pipe_duplicate_name(nlp):
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nlp.add_pipe("new_pipe", name="duplicate_name")
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with pytest.raises(ValueError):
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nlp.add_pipe("new_pipe", name="duplicate_name")
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@pytest.mark.parametrize("name", ["parser"])
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def test_add_pipe_first(nlp, name):
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nlp.add_pipe("new_pipe", name=name, first=True)
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assert nlp.pipeline[0][0] == name
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@pytest.mark.parametrize("name1,name2", [("parser", "lambda_pipe")])
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def test_add_pipe_last(nlp, name1, name2):
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Language.component("new_pipe2", func=lambda doc: doc)
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nlp.add_pipe("new_pipe2", name=name2)
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nlp.add_pipe("new_pipe", name=name1, last=True)
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assert nlp.pipeline[0][0] != name1
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assert nlp.pipeline[-1][0] == name1
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def test_cant_add_pipe_first_and_last(nlp):
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with pytest.raises(ValueError):
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nlp.add_pipe("new_pipe", first=True, last=True)
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@pytest.mark.parametrize("name", ["my_component"])
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def test_get_pipe(nlp, name):
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with pytest.raises(KeyError):
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nlp.get_pipe(name)
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nlp.add_pipe("new_pipe", name=name)
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assert nlp.get_pipe(name) == new_pipe
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@pytest.mark.parametrize(
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"name,replacement,invalid_replacement",
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[("my_component", "other_pipe", lambda doc: doc)],
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)
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def test_replace_pipe(nlp, name, replacement, invalid_replacement):
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with pytest.raises(ValueError):
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nlp.replace_pipe(name, new_pipe)
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nlp.add_pipe("new_pipe", name=name)
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with pytest.raises(ValueError):
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nlp.replace_pipe(name, invalid_replacement)
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nlp.replace_pipe(name, replacement)
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assert nlp.get_pipe(name) == nlp.create_pipe(replacement)
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def test_replace_last_pipe(nlp):
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nlp.add_pipe("sentencizer")
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nlp.add_pipe("ner")
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assert nlp.pipe_names == ["sentencizer", "ner"]
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nlp.replace_pipe("ner", "ner")
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assert nlp.pipe_names == ["sentencizer", "ner"]
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@pytest.mark.parametrize("old_name,new_name", [("old_pipe", "new_pipe")])
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def test_rename_pipe(nlp, old_name, new_name):
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with pytest.raises(ValueError):
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nlp.rename_pipe(old_name, new_name)
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nlp.add_pipe("new_pipe", name=old_name)
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nlp.rename_pipe(old_name, new_name)
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assert nlp.pipeline[0][0] == new_name
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@pytest.mark.parametrize("name", ["my_component"])
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def test_remove_pipe(nlp, name):
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with pytest.raises(ValueError):
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nlp.remove_pipe(name)
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nlp.add_pipe("new_pipe", name=name)
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assert len(nlp.pipeline) == 1
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removed_name, removed_component = nlp.remove_pipe(name)
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assert not len(nlp.pipeline)
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assert removed_name == name
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assert removed_component == new_pipe
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@pytest.mark.parametrize("name", ["my_component"])
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def test_disable_pipes_method(nlp, name):
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nlp.add_pipe("new_pipe", name=name)
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assert nlp.has_pipe(name)
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disabled = nlp.select_pipes(disable=name)
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assert not nlp.has_pipe(name)
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disabled.restore()
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@pytest.mark.parametrize("name", ["my_component"])
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def test_enable_pipes_method(nlp, name):
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nlp.add_pipe("new_pipe", name=name)
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assert nlp.has_pipe(name)
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disabled = nlp.select_pipes(enable=[])
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assert not nlp.has_pipe(name)
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disabled.restore()
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@pytest.mark.parametrize("name", ["my_component"])
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def test_disable_pipes_context(nlp, name):
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nlp.add_pipe("new_pipe", name=name)
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assert nlp.has_pipe(name)
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with nlp.select_pipes(disable=name):
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assert not nlp.has_pipe(name)
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assert nlp.has_pipe(name)
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def test_select_pipes_list_arg(nlp):
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for name in ["c1", "c2", "c3"]:
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nlp.add_pipe("new_pipe", name=name)
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assert nlp.has_pipe(name)
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with nlp.select_pipes(disable=["c1", "c2"]):
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assert not nlp.has_pipe("c1")
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assert not nlp.has_pipe("c2")
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assert nlp.has_pipe("c3")
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with nlp.select_pipes(enable="c3"):
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assert not nlp.has_pipe("c1")
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assert not nlp.has_pipe("c2")
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assert nlp.has_pipe("c3")
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with nlp.select_pipes(enable=["c1", "c2"], disable="c3"):
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assert nlp.has_pipe("c1")
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assert nlp.has_pipe("c2")
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assert not nlp.has_pipe("c3")
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with nlp.select_pipes(enable=[]):
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assert not nlp.has_pipe("c1")
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assert not nlp.has_pipe("c2")
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assert not nlp.has_pipe("c3")
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with nlp.select_pipes(enable=["c1", "c2", "c3"], disable=[]):
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assert nlp.has_pipe("c1")
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assert nlp.has_pipe("c2")
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assert nlp.has_pipe("c3")
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with nlp.select_pipes(disable=["c1", "c2", "c3"], enable=[]):
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assert not nlp.has_pipe("c1")
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assert not nlp.has_pipe("c2")
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assert not nlp.has_pipe("c3")
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def test_select_pipes_errors(nlp):
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for name in ["c1", "c2", "c3"]:
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nlp.add_pipe("new_pipe", name=name)
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assert nlp.has_pipe(name)
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with pytest.raises(ValueError):
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nlp.select_pipes()
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with pytest.raises(ValueError):
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nlp.select_pipes(enable=["c1", "c2"], disable=["c1"])
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with pytest.raises(ValueError):
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nlp.select_pipes(enable=["c1", "c2"], disable=[])
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with pytest.raises(ValueError):
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nlp.select_pipes(enable=[], disable=["c3"])
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@pytest.mark.parametrize("n_pipes", [100])
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def test_add_lots_of_pipes(nlp, n_pipes):
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Language.component("n_pipes", func=lambda doc: doc)
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for i in range(n_pipes):
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nlp.add_pipe("n_pipes", name=f"pipe_{i}")
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assert len(nlp.pipe_names) == n_pipes
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@pytest.mark.parametrize("component", [lambda doc: doc, {"hello": "world"}])
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def test_raise_for_invalid_components(nlp, component):
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with pytest.raises(ValueError):
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nlp.add_pipe(component)
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@pytest.mark.parametrize("component", ["ner", "tagger", "parser", "textcat"])
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def test_pipe_base_class_add_label(nlp, component):
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label = "TEST"
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pipe = nlp.create_pipe(component)
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pipe.add_label(label)
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if component == "tagger":
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# Tagger always has the default coarse-grained label scheme
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assert label in pipe.labels
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else:
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assert pipe.labels == (label,)
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def test_pipe_labels(nlp):
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input_labels = {
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"ner": ["PERSON", "ORG", "GPE"],
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"textcat": ["POSITIVE", "NEGATIVE"],
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}
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for name, labels in input_labels.items():
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nlp.add_pipe(name)
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pipe = nlp.get_pipe(name)
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for label in labels:
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pipe.add_label(label)
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assert len(pipe.labels) == len(labels)
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assert len(nlp.pipe_labels) == len(input_labels)
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for name, labels in nlp.pipe_labels.items():
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assert sorted(input_labels[name]) == sorted(labels)
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def test_add_pipe_before_after():
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"""Test that before/after works with strings and ints."""
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nlp = Language()
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nlp.add_pipe("ner")
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with pytest.raises(ValueError):
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nlp.add_pipe("textcat", before="parser")
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nlp.add_pipe("textcat", before="ner")
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assert nlp.pipe_names == ["textcat", "ner"]
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with pytest.raises(ValueError):
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nlp.add_pipe("parser", before=3)
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with pytest.raises(ValueError):
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nlp.add_pipe("parser", after=3)
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nlp.add_pipe("parser", after=0)
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assert nlp.pipe_names == ["textcat", "parser", "ner"]
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nlp.add_pipe("tagger", before=2)
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assert nlp.pipe_names == ["textcat", "parser", "tagger", "ner"]
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with pytest.raises(ValueError):
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nlp.add_pipe("entity_ruler", after=1, first=True)
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with pytest.raises(ValueError):
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nlp.add_pipe("entity_ruler", before="ner", after=2)
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with pytest.raises(ValueError):
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nlp.add_pipe("entity_ruler", before=True)
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with pytest.raises(ValueError):
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nlp.add_pipe("entity_ruler", first=False)
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