feat: float support for range functions

[alfredzimmer]

Changes

This PR addds float support to is_in_range and is_not_in_range validation functions.

Linked issues

Resolves #937

Tests

• manually tested
• added unit tests
• added integration tests
• added end-to-end tests
• added performance tests

[Copilot]

Pull request overview

This PR adds float support to the is_in_range and is_not_in_range validation functions by updating their type signatures to accept float parameters for min_limit and max_limit.

Key changes:

• Updated type hints for is_in_range and is_not_in_range to accept float values
• Added comprehensive test coverage for float range validation

Reviewed changes

Copilot reviewed 3 out of 3 changed files in this pull request and generated no comments.

File	Description
src/databricks/labs/dqx/check_funcs.py	Updated type signatures to include float support for min_limit and max_limit parameters
tests/unit/test_checks_validation.py	Added unit test to validate float arguments in range functions
tests/integration/test_row_checks.py	Extended integration tests with float column data and assertions

Comments suppressed due to low confidence (1)

src/databricks/labs/dqx/check_funcs.py:660

• The docstring for max_limit incorrectly describes it as 'min limit'. It should be 'max limit to use in the condition as number, date, timestamp, column name or sql expression'.

    """Checks whether the values in the input column are outside the provided limits (inclusive of both boundaries).

    Args:
        column: column to check; can be a string column name or a column expression
        min_limit: min limit to use in the condition as number, date, timestamp, column name or sql expression
        max_limit: min limit to use in the condition as number, date, timestamp, column name or sql expression

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[ghanse]

Looks good overall. Would you like to add float support for is_not_greater_than and is_not_less_than as well?

[alfredzimmer]

Yes of course.