fix: re-enable Comet abs

[hsiang-c]

Which issue does this PR close?

Closes #1890
Partially closes #2314

Rationale for this change

• Context is abs returns incorrect value in some cases #666
• The original abs implementation returns unexpected result and was turned off.

What changes are included in this PR?

• Implemented Spark's ANSI mode that throws org.apache.spark.SparkArithmeticException on the MIN_VALUE of Spark's IntegralType, see doc.
• In CometTestBase, changed the types of column _9, _10, _11 and _12 from UINT_8/16/32/64 to INT_8/16/32/64 b/c we actually have negative values in test data.

How are these changes tested?

• unit tests w/ MIN_VALUE and decimal values with different precision and scale.
• SparkSQL tests

[codecov-commenter]

Codecov Report

✅ All modified and coverable lines are covered by tests.
✅ Project coverage is 59.33%. Comparing base (f09f8af) to head (1ddff98).
⚠️ Report is 621 commits behind head on main.

Additional details and impacted files

@@             Coverage Diff              @@
##               main    #2595      +/-   ##
============================================
+ Coverage     56.12%   59.33%   +3.20%     
- Complexity      976     1444     +468     
============================================
  Files           119      146      +27     
  Lines         11743    13758    +2015     
  Branches       2251     2353     +102     
============================================
+ Hits           6591     8163    +1572     
- Misses         4012     4373     +361     
- Partials       1140     1222      +82     

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[hsiang-c]

This is the diff, test with ANSI mode on/off.

[hsiang-c]

We store negative values in these columns, I think the schema should not be unsigned int.

// CometTestBase.scala
          record.add(8, (-i).toByte)
          record.add(9, (-i).toShort)
          record.add(10, -i)
          record.add(11, (-i).toLong)

[parthchandra]

We have UINT here to make sure we cover all types that parquet has. The data files created here are specifically designed to test whether parquet readers can handle all types correctly. Negative values stored in a UINT parquet type test the values around the boundary of allowed values.
To illustrate with an example, when you store the value -1 in a UINT_8 field what gets stored is the bit pattern 0xff. On reading, this is read back as the value 255 which is the maximum value for a UINT_8.
This is both correct and desirable.

[comphead]

Thanks @hsiang-c WDYT of implementing abs with spark flavor in DF? Like I did recently for concat apache/datafusion#18128