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	* Make handling of [Pipe].labels consistent * Un-xfail passing test * Update spacy/pipeline/pipes.pyx Co-Authored-By: ines <ines@ines.io> * Update spacy/pipeline/pipes.pyx Co-Authored-By: ines <ines@ines.io> * Update spacy/tests/pipeline/test_pipe_methods.py Co-Authored-By: ines <ines@ines.io> * Update spacy/pipeline/pipes.pyx Co-Authored-By: ines <ines@ines.io> * Move error message to spacy.errors * Fix textcat labels and test * Make EntityRuler.labels return tuple as well
		
			
				
	
	
		
			127 lines
		
	
	
		
			3.6 KiB
		
	
	
	
		
			Python
		
	
	
	
	
	
			
		
		
	
	
			127 lines
		
	
	
		
			3.6 KiB
		
	
	
	
		
			Python
		
	
	
	
	
	
| # coding: utf8
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| from __future__ import unicode_literals
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| 
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| import pytest
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| from spacy.language import Language
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| 
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| 
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| @pytest.fixture
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| def nlp():
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|     return Language()
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| 
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| 
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| def new_pipe(doc):
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|     return doc
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| 
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| 
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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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| 
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| 
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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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| 
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| 
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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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| 
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| 
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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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|     nlp.add_pipe(lambda doc: doc, 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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| 
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| 
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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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| 
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| 
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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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| 
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| 
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| @pytest.mark.parametrize("name,replacement", [("my_component", lambda doc: doc)])
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| def test_replace_pipe(nlp, name, 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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|     nlp.replace_pipe(name, replacement)
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|     assert nlp.get_pipe(name) != new_pipe
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|     assert nlp.get_pipe(name) == replacement
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| 
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| 
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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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| 
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| 
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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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| 
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| 
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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.disable_pipes(name)
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|     assert not nlp.has_pipe(name)
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|     disabled.restore()
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| 
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| 
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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.disable_pipes(name):
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|         assert not nlp.has_pipe(name)
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|     assert nlp.has_pipe(name)
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| 
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| 
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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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|     for i in range(n_pipes):
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|         nlp.add_pipe(lambda doc: doc, name="pipe_%d" % i)
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|     assert len(nlp.pipe_names) == n_pipes
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| 
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| 
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| @pytest.mark.parametrize("component", ["ner", {"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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| 
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| 
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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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