Euclidean distance and Cosine similarity functions on dense vectors

[snash4]

Description

Added two functions (Euclidean Distance and Cosine Similarity) on dense vectors.

Motivation and Context

feature requested here
#23981

Impact

Added two function for the feature:

1. euclidean_distance_dense()

2. cosine_similarity_dense()
   

Test Plan

Inserted a vector dataset (SIFT benchmark ) in an Iceberg table and performed top-k similarity search on both functions. The table has embedding_id and vector columns. Vector column is an Array type. The functions return the top-k similar vectors to the query vector.

Added the relevant test cases

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Release Notes

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== RELEASE NOTES ==
presto-main operator changes
* Euclidean distance and cosine similarity functions for dense arrays -   pr: `23982`

[linux-foundation-easycla]

• ❌ - login: @snash4 / name: Sheikh Nasrullah . The commit (634f78f, 37cdc6a, e5d6245, 834dcea, f7103b7, 30c621e, 06c4cf5, e535b40) is not authorized under a signed CLA. Please click here to be authorized. For further assistance with EasyCLA, please submit a support request ticket.

[steveburnett]

LGTM! (docs)

Pull branch, local docs build, review - looks good. Thanks for the doc!

[steveburnett]

Thanks for the contribution! A few things to help your PR be ready to merge:

• Please sign the Presto CLA as mentioned in this comment

• squash merge commits, as mentioned in the Pull Request Checklist in CONTRIBUTING.md

• Fix the release note entry

== NO RELEASE NOTE ==

[steveburnett]

Thanks for the release note entry! A couple of suggestions to consider, to follow the Order of changes in the Release Note Guidelines.

== RELEASE NOTES ==
General Changes
* Add :func:`cosine_similarity_dense` and :func:`euclidean_distance_dense` functions for dense arrays.   pr:`23982`

[prestodb-ci]

Saved that user @snash4 is from IBM