Exclude numeric data type mismatches from casewhen type checking

[chrispattenslalom]

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

No Jira issue created. This PR was opened per a conversation with @sfc-gh-jrose.

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.

Resolves an issue with Local Testing mode where numeric data types used in a CaseWhen expression return an error if there is a precision mismatch.

[github-actions]

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[chrispattenslalom]

I have read the CLA Document and I hereby sign the CLA

[sfc-gh-jrose]

Thanks for the PR Chris.

For reviewers, here is a repro for the issue that this PR is addressing:

session = Session.builder.config("local_testing", True).create()

dataframe = session.create_dataframe(
    data=[
        ["value1", 1.23],
        ["value1", 1.23],
        ["value2", 4.56],
        ["value2", 7.89],
    ],
    schema=StructType(
        [StructField("col1", StringType()), StructField("col2", DecimalType(38, 2))]
    ),
)

dataframe2 = session.create_dataframe(
    data=[["value1", 5.0]],
    schema=StructType(
        [StructField("col3", StringType()), StructField("col4", DecimalType(38, 6))]
    ),
)

dataframe.join(
    right=dataframe2, on=dataframe.col1 == dataframe2.col3, how="left"
).select(
    dataframe.col1,
    dataframe.col2,
    dataframe2.col3,
    dataframe2.col4,
    when(dataframe2.col4.is_null(), dataframe.col2)
    .otherwise(dataframe2.col4)
    .alias("new_col"),
).show()

[sfc-gh-jrose]

Hey Chris,
I'm going to go ahead and close this PR. We merged a PR yesterday that adds support for type coercion which has changed both code locations touched in this PR. I've run your example against the new code paths and it looks like it handles it correctly now. Your change was helpful in identifying edge cases in that new code so thank you for taking the time to open this PR.