test: Add end-to-end tests for numeric_histogram function

[allenshen13]

Description

Add E2E tests for numeric_histogram aggregate function

Motivation and Context

Closes #26940

Impact

Test Plan

Ran aggregation tests locally and passed.

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• Adequate tests were added if applicable.
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Release Notes

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== NO RELEASE NOTE ==

[sourcery-ai]

Reviewer's guide (collapsed on small PRs)

Reviewer's Guide

Adds end-to-end native worker aggregation tests for the numeric_histogram aggregate function, covering both 2-argument and 3-argument forms and different numeric types.

File-Level Changes

Change	Details	Files
Add native aggregation E2E coverage for numeric_histogram with multiple signatures and value types.	Introduce a new test method that exercises numeric_histogram with (buckets, value) signature on lineitem.quantity, including grouped aggregation with orderkey. Add assertions that numeric_histogram with (buckets, value, weight) signature runs successfully on quantity and extendedprice/quantity combinations, including grouped aggregation with orderkey. Extend coverage to real-typed inputs by invoking numeric_histogram on tax_as_real with and without a weight parameter.	presto-native-execution/src/test/java/com/facebook/presto/nativeworker/AbstractTestNativeAggregations.java

Assessment against linked issues

Issue	Objective	Addressed	Explanation
#26940	Add end-to-end tests for the numeric_histogram aggregate function.	✅

Possibly linked issues

• #(unassigned): PR implements the requested end-to-end tests for the numeric_histogram aggregate function variants mentioned in the issue.

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[github-actions]

Dependency Review

✅ No vulnerabilities or license issues or OpenSSF Scorecard issues found.

Snapshot Warnings

⚠️: No snapshots were found for the head SHA af26db6.

Ensure that dependencies are being submitted on PR branches. Re-running this action after a short time may resolve the issue. See the documentation for more information and troubleshooting advice.

Scanned Files

None

[sourcery-ai]

Hey - I've left some high level feedback:

• These tests only check that the queries succeed; consider adding at least one assertion that validates the actual numeric_histogram output shape or key properties (e.g., bucket count, value ranges) to catch silent correctness regressions.
• It may be worth adding a test case that covers boundary/edge conditions for numeric_histogram (e.g., zero or negative bucket counts, null values, or very skewed input) to ensure native execution matches the engine’s expected behavior in those cases.

Prompt for AI Agents

Please address the comments from this code review:

## Overall Comments
- These tests only check that the queries succeed; consider adding at least one assertion that validates the actual `numeric_histogram` output shape or key properties (e.g., bucket count, value ranges) to catch silent correctness regressions.
- It may be worth adding a test case that covers boundary/edge conditions for `numeric_histogram` (e.g., zero or negative bucket counts, null values, or very skewed input) to ensure native execution matches the engine’s expected behavior in those cases.

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[jkhaliqi]

Thanks for adding these tests!