6110568028
90%

Ran 07 Sep 2023 01:54PM UTC

Jobs 10

Files 260

Run time 17s

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Committed 07 Sep 2023 01:44PM UTC coverage: 48.824% (+0.09%) from 48.735%

Build # 6110568028

Build Type

push

github

Committed by

web-flow

Commit Message

`MemoryDocumentStore` - Embedding retrieval (2.0) (#5715)

* MemoryDocumentStore - Embedding retrieval draft

* add release notes

* fix mypy

* better comment

* improve return_embeddings handling

* address PR comments

* update docstrings

* incorporated feeback

---------

Co-authored-by: Daria Fokina <daria.fokina@deepset.ai>

Run Details

11793 of 24154 relevant lines covered (48.82%)

2.56 hits per line

Uncovered Existing Lines

Lines	Coverage	∆	File
4	97.12	-1.78%	preview/document_stores/memory/document_store.py

Jobs

ID	Job ID	Ran	Files	Coverage
1	preview - 6110568028.1	07 Sep 2023 01:55PM UTC	260	25.18	GitHub Action Run
2	others - 6110568028.2	07 Sep 2023 01:55PM UTC	260	21.81	GitHub Action Run
3	prompt - 6110568028.3	07 Sep 2023 01:55PM UTC	260	24.24	GitHub Action Run
4	document_stores - 6110568028.4	07 Sep 2023 01:54PM UTC	260	24.82	GitHub Action Run
5	modeling - 6110568028.5	07 Sep 2023 01:54PM UTC	260	19.75	GitHub Action Run
6	agents - 6110568028.6	07 Sep 2023 01:54PM UTC	260	22.05	GitHub Action Run
7	pipelines - 6110568028.7	07 Sep 2023 01:55PM UTC	260	23.5	GitHub Action Run
8	nodes - 6110568028.8	07 Sep 2023 01:56PM UTC	260	30.72	GitHub Action Run
9	cli - 6110568028.9	07 Sep 2023 01:54PM UTC	260	19.42	GitHub Action Run
10	utils - 6110568028.10	07 Sep 2023 01:55PM UTC	260	19.9	GitHub Action Run

deepset-ai / haystack / 6110568028
90%

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deepset-ai / haystack / 6110568028 90%

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