SNOW-1487311: Fix test failures and lint issues with numpy 2

[sfc-gh-joshi]

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

   Fixes SNOW-1487311

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.

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

This PR fixes issues that are raised from the lint environment resolving numpy to 2.0.0. This does not mean Snowpark pandas supports numpy 2.0.0 (though Snowpark Python + local testing should); this PR just makes non-impactful code changes to pass lint and make code consistent.

Notably, numpy 2.0.0 removes np.float_ in favor of np.float64, and np.NaN in favor of np.nan.

[sfc-gh-yzou]

oh, we actually removed np.float_, i thought he message says it is replaced with np.float?

[sfc-gh-joshi]

np.float_ is an alias for np.float64 after numpy 2.x (https://numpy.org/doc/stable/release/2.0.0-notes.html#numpy-2-0-python-api-removals). We specified float64 already in the line right above this.

Older documentation (https://numpy.org/doc/1.26/reference/arrays.scalars.html#numpy.float_) refers to it as an alias of double, so I don't think this would cause any behavioral differences.

[sfc-gh-helmeleegy]

LGTM

[sfc-gh-yzou]

@sfc-gh-joshi let's revert @sfc-gh-azhan 's workaround here ee410eb.
also, let's add some backward compatibility testing. Thanks!

[sfc-gh-joshi]

@sfc-gh-yzou Reverted, I'll add the extra tests we discussed on slack in a followup PR.