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Test index embeddings are stable on incremental update & no norm
Ensure order of new embedding insertion on incremental update does not affect the order and value of existing embeddings when normalization is turned off
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1 changed files with 2 additions and 3 deletions
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@ -196,7 +196,7 @@ def test_update_index_with_duplicate_entries_in_stable_order(
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def test_update_index_with_new_entry(content_config: ContentConfig, search_models: SearchModels, new_org_file: Path):
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# Arrange
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initial_notes_model = text_search.setup(
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OrgToJsonl, content_config.org, search_models.text_search.bi_encoder, regenerate=True
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OrgToJsonl, content_config.org, search_models.text_search.bi_encoder, regenerate=True, normalize=False
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)
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# append org-mode entry to first org input file in config
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@ -208,7 +208,7 @@ def test_update_index_with_new_entry(content_config: ContentConfig, search_model
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# update embeddings, entries with the newly added note
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content_config.org.input_files = [f"{new_org_file}"]
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final_notes_model = text_search.setup(
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OrgToJsonl, content_config.org, search_models.text_search.bi_encoder, regenerate=False
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OrgToJsonl, content_config.org, search_models.text_search.bi_encoder, regenerate=False, normalize=False
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)
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# Assert
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@ -218,7 +218,6 @@ def test_update_index_with_new_entry(content_config: ContentConfig, search_model
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# verify new entry appended to index, without disrupting order or content of existing entries
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error_details = compare_index(initial_notes_model, final_notes_model)
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if error_details:
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# fails at embeddings index 4, 7. These are not swapped with the new entry embedding or each other
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pytest.fail(error_details, False)
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# Cleanup
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