Add start, stop, and temporal_policy to FeatureVector and FeatureVectorArray #549
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NikolaosPapailiou
approved these changes
Oct 15, 2024
| py::arg("ctx"), | ||
| py::arg("uri"), | ||
| py::arg("first_col") = 0, | ||
| py::arg("first_col") = 0, |
| }, | ||
| py::keep_alive<1, 2>(), // FeatureVectorArray should keep ctx alive. | ||
| py::arg("ctx"), | ||
| py::arg("uri"), | ||
| py::arg("ids_uri") = "", | ||
| py::arg("num_vectors") = 0, | ||
| py::arg("first_col") = 0, | ||
| py::arg("first_col") = 0, |
| ctx, | ||
| parts_array_uri, | ||
| ids_array_uri, | ||
| 0, |
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For better readability, it would be nice to follow the pattern bellow for such arguments
data = vspy.FeatureVectorArray(
ctx,
parts_array_uri,
ids_array_uri,
/* first_col */ 0,
/* last_col */ 0,
to_temporal_policy(index_timestamp),
)
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Sure, thanks, done (though note it's a little different than this b/c a Python comment).
…arch into jparismorgan/feature-vector-and-array-start-stop
jparismorgan
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jparismorgan/feature-vector-and-array-start-stop
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What
Add
start,stop, andtemporal_policytoFeatureVectorandFeatureVectorArray. This will let us callingest_parts()on batches of vectors from Python for the new IVF_PQ out-of-core work.Testing