| |
| |
| |
| import pytest |
|
|
| from haystack.dataclasses.sparse_embedding import SparseEmbedding |
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|
| class TestSparseEmbedding: |
| def test_init(self): |
| se = SparseEmbedding(indices=[0, 2, 4], values=[0.1, 0.2, 0.3]) |
| assert se.indices == [0, 2, 4] |
| assert se.values == [0.1, 0.2, 0.3] |
|
|
| def test_init_with_wrong_parameters(self): |
| with pytest.raises(ValueError): |
| SparseEmbedding(indices=[0, 2], values=[0.1, 0.2, 0.3, 0.4]) |
|
|
| def test_to_dict(self): |
| se = SparseEmbedding(indices=[0, 2, 4], values=[0.1, 0.2, 0.3]) |
| assert se.to_dict() == {"indices": [0, 2, 4], "values": [0.1, 0.2, 0.3]} |
|
|
| def test_from_dict(self): |
| se = SparseEmbedding.from_dict({"indices": [0, 2, 4], "values": [0.1, 0.2, 0.3]}) |
| assert se.indices == [0, 2, 4] |
| assert se.values == [0.1, 0.2, 0.3] |
|
|
| def test_eq(self): |
| se1 = SparseEmbedding(indices=[0, 2, 4], values=[0.1, 0.2, 0.3]) |
| se2 = SparseEmbedding(indices=[0, 2, 4], values=[0.1, 0.2, 0.3]) |
| assert se1 == se2 |
|
|
| se3 = SparseEmbedding(indices=[0, 2, 4], values=[0.1, 0.2, 0.4]) |
| assert se1 != se3 |
|
|
