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| import pytest |
| from haystack.components.converters.utils import normalize_metadata |
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| def test_normalize_metadata_None(): |
| assert normalize_metadata(None, sources_count=1) == [{}] |
| assert normalize_metadata(None, sources_count=3) == [{}, {}, {}] |
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| def test_normalize_metadata_single_dict(): |
| assert normalize_metadata({"a": 1}, sources_count=1) == [{"a": 1}] |
| assert normalize_metadata({"a": 1}, sources_count=3) == [{"a": 1}, {"a": 1}, {"a": 1}] |
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| def test_normalize_metadata_list_of_right_size(): |
| assert normalize_metadata([{"a": 1}], sources_count=1) == [{"a": 1}] |
| assert normalize_metadata([{"a": 1}, {"b": 2}, {"c": 3}], sources_count=3) == [{"a": 1}, {"b": 2}, {"c": 3}] |
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| def test_normalize_metadata_list_of_wrong_size(): |
| with pytest.raises(ValueError, match="The length of the metadata list must match the number of sources."): |
| normalize_metadata([{"a": 1}], sources_count=3) |
| with pytest.raises(ValueError, match="The length of the metadata list must match the number of sources."): |
| assert normalize_metadata([{"a": 1}, {"b": 2}, {"c": 3}], sources_count=1) |
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| def test_normalize_metadata_other_type(): |
| with pytest.raises(ValueError, match="meta must be either None, a dictionary or a list of dictionaries."): |
| normalize_metadata(({"a": 1},), sources_count=1) |
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