Fix OperationalError for large datasets with scse-toolkits chunking facilities

[meksor]

Uses the scse-toolkit functionality from https://github.com/iiasa/scse-toolkit/pull/58 to fix the error described in #254 .
Pins scse-toolkit (>=1.2.0,<2.0.0).

Migrates both list_model_names methods (RunRepository, TimeSeriesRepository) to use toolkits select_in_chunks so large IN lists are avoided. merge_regions and merge_units of TimeSeriesService now use tabulate_by_df, which also chunks.

Closes #254

[codecov]

Codecov Report

❌ Patch coverage is 88.88889% with 2 lines in your changes missing coverage. Please review.
✅ Project coverage is 96.7%. Comparing base (9e97d27) to head (329b661).

Files with missing lines	Patch %	Lines
ixmp4/data/meta/service.py	60.0%	2 Missing ⚠️

Additional details and impacted files

@@          Coverage Diff          @@
##            main    #255   +/-   ##
=====================================
  Coverage   96.7%   96.7%           
=====================================
  Files        221     221           
  Lines       9841    9845    +4     
=====================================
+ Hits        9520    9524    +4     
  Misses       321     321           

Files with missing lines	Coverage Δ
ixmp4/data/iamc/timeseries/repositories.py	97.9% <100.0%> (+<0.1%)	⬆️
ixmp4/data/iamc/timeseries/service.py	99.1% <100.0%> (ø)
ixmp4/data/run/repositories.py	96.9% <100.0%> (+<0.1%)	⬆️
ixmp4/data/meta/service.py	97.0% <60.0%> (ø)

🚀 New features to boost your workflow:

• ❄️ Test Analytics: Detect flaky tests, report on failures, and find test suite problems.

[danielhuppmann]

Looks like magic...

[phackstock]

Looks good to me thanks @meksor