mirror of
https://github.com/explosion/spaCy.git
synced 2024-09-21 19:39:13 +03:00
38 lines
1.2 KiB
Python
38 lines
1.2 KiB
Python
from spacy.lang.en import English
|
|
from spacy.util import fix_random_seed
|
|
|
|
|
|
def test_issue5551():
|
|
"""Test that after fixing the random seed, the results of the pipeline are truly identical"""
|
|
component = "textcat"
|
|
pipe_cfg = {
|
|
"model": {
|
|
"@architectures": "spacy.TextCatBOW.v1",
|
|
"exclusive_classes": True,
|
|
"ngram_size": 2,
|
|
"no_output_layer": False,
|
|
}
|
|
}
|
|
|
|
results = []
|
|
for i in range(3):
|
|
fix_random_seed(0)
|
|
nlp = English()
|
|
example = (
|
|
"Once hot, form ping-pong-ball-sized balls of the mixture, each weighing roughly 25 g.",
|
|
{"cats": {"Labe1": 1.0, "Label2": 0.0, "Label3": 0.0}},
|
|
)
|
|
pipe = nlp.add_pipe(component, config=pipe_cfg, last=True)
|
|
for label in set(example[1]["cats"]):
|
|
pipe.add_label(label)
|
|
nlp.initialize()
|
|
|
|
# Store the result of each iteration
|
|
result = pipe.model.predict([nlp.make_doc(example[0])])
|
|
results.append(list(result[0]))
|
|
|
|
# All results should be the same because of the fixed seed
|
|
assert len(results) == 3
|
|
assert results[0] == results[1]
|
|
assert results[0] == results[2]
|