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38 lines
1.2 KiB
Python
38 lines
1.2 KiB
Python
from spacy.lang.en import English
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from spacy.util import fix_random_seed
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def test_issue5551():
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"""Test that after fixing the random seed, the results of the pipeline are truly identical"""
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component = "textcat"
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pipe_cfg = {
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"model": {
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"@architectures": "spacy.TextCatBOW.v1",
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"exclusive_classes": True,
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"ngram_size": 2,
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"no_output_layer": False,
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}
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}
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results = []
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for i in range(3):
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fix_random_seed(0)
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nlp = English()
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example = (
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"Once hot, form ping-pong-ball-sized balls of the mixture, each weighing roughly 25 g.",
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{"cats": {"Labe1": 1.0, "Label2": 0.0, "Label3": 0.0}},
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)
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pipe = nlp.add_pipe(component, config=pipe_cfg, last=True)
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for label in set(example[1]["cats"]):
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pipe.add_label(label)
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nlp.initialize()
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# Store the result of each iteration
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result = pipe.model.predict([nlp.make_doc(example[0])])
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results.append(list(result[0]))
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# All results should be the same because of the fixed seed
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assert len(results) == 3
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assert results[0] == results[1]
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assert results[0] == results[2]
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