test: Combine tests with _max_list_lenghts_by_column

[Marius Merkle (MariusMerkleQC)]

Motivation

We hypothesize values for max_list_length in #21 without asserting their correctness. Instead of adding separate tests with the same underlying set of data frames, I suggest asserting the values of _max_list_lenghts_by_column within the same tests.

Changes

• For each test in test_conditions.py,
  • Initialize a DataFrameComparison object, and
  • take absolute, relative, and absolute temporal tolerances, as well as max_list_length from the the DataFrameComparison object
  • assert values of _max_list_lenghts_by_column at the end

[codecov]

Codecov Report

✅ All modified and coverable lines are covered by tests.
✅ Project coverage is 100.00%. Comparing base (3d5467a) to head (8a63395).

Additional details and impacted files

@@                   Coverage Diff                    @@
##           nested_list_comparison       #23   +/-   ##
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  Coverage                  100.00%   100.00%           
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  Files                          10        10           
  Lines                         759       759           
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  Hits                          759       759           

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[Copilot]

Pull request overview

Updates the condition-equality tests to derive tolerances and computed max_list_length values from DataFrameComparison (via compare_frames), and asserts the computed _max_list_lengths_by_column to validate the list-length inference logic introduced in #21.

Changes:

• Instantiate a DataFrameComparison in each relevant test using compare_frames.
• Use the comparison object’s per-column tolerances and _max_list_lengths_by_column when calling condition_equal_columns.
• Add assertions validating _max_list_lengths_by_column for each scenario (lists, nested lists, empty lists, non-list cases).

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