SNOW-2173644, SNOW-2157873: Fix __array_function__ hybrid switching and native Series constructor switching bugs

[sfc-gh-joshi]

1. Which Jira issue is this PR addressing? Make sure that there is an accompanying issue to your PR.

   Fixes SNOW-2173644 and SNOW-2157873

2. Fill out the following pre-review checklist:

   • I am adding a new automated test(s) to verify correctness of my new code
     • If this test skips Local Testing mode, I'm requesting review from @snowflakedb/local-testing
   • I am adding new logging messages
   • I am adding a new telemetry message
   • I am adding new credentials
   • I am adding a new dependency
   • If this is a new feature/behavior, I'm adding the Local Testing parity changes.
   • I acknowledge that I have ensured my changes to be thread-safe. Follow the link for more information: Thread-safe Developer Guidelines
   • If adding any arguments to public Snowpark APIs or creating new public Snowpark APIs, I acknowledge that I have ensured my changes include AST support. Follow the link for more information: AST Support Guidelines

3. Please describe how your code solves the related issue.

SNOW-2157873 occurs because upstream modin does not implement __array_function__, instead converting to numpy ndarrays via __array__ when a numpy function is called on it. The presence of the extension wrapper for __array_function__ introduced by Snowpark pandas confuses numpy dispatch, causing unexpected AttributeErrors. This is fixed upstream with modin-project/modin#7617, and will presumably become available in the next modin release. On the Snowpark side, this PR adds relevant tests, and adds a version-guarded flag to remove the extension function and push it down to the query compiler.

SNOW-2173644 occurs in specific circumstances when determining switching conditions for the DataFrame constructor. Series objects are treated as dict-like, but Series.values is a property rather than a function. We thus skip over native_pd.Series objects in the dict-like check in move_to_me_cost.