Distinguish int/float in NumericInspector

[MooooCat]

Description

We have made a small upgrade to sdgx.data_models.inspectors.numeric.NumericInspector, adding a feature to identify int / float data types.

Motivation and Context

Previously, NumericInspector mark both int / float types as numeric types, but in fact we can further distinguish int and float, which involves two aspects:

• Currently, our numeric types are processed as float during model inference, resulting in the appearance of the generated data being somewhat different from the original data. To fix this, the first requires accurately separating int and float (the current determination method of pd.DataFrame is not accurate );
• Future post-processing processes can be processed separately according to int / float types, thus completely solving the above problems.

How has this been tested?

Types of changes

• Maintenance (no change in code, maintain the project's CI, docs, etc.)
• Bug fix (non-breaking change which fixes an issue)
• New feature (non-breaking change which adds functionality)
• Breaking change (fix or feature that would cause existing functionality to not work as expected)

Checklist:

• My code follows the code style of this project.
• My change requires a change to the documentation.
• I have updated the documentation accordingly.

[codecov-commenter]

Codecov Report

All modified and coverable lines are covered by tests ✅

Comparison is base (4677f9d) 80.05% compared to head (86cc0b9) 80.26%.

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Additional details and impacted files

@@            Coverage Diff             @@
##             main     #133      +/-   ##
==========================================
+ Coverage   80.05%   80.26%   +0.21%     
==========================================
  Files          66       66              
  Lines        2943     2975      +32     
==========================================
+ Hits         2356     2388      +32     
  Misses        587      587              

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