feat: reduce memory usage

[RaczeQ]

• Change GeoDataFrame and DataFrame arguments to special objects ParquetDataTable and GeoDataTable
• Rewrite logic in all components (for now just cast to GeoDataFrame / DataFrame)
• Add new IntersectionJoiner based on duckdb-geography extension (with s2 cell covering) or h3 extension (with h3 cell covering).
• Add option to not return geometry in H3Regionalizer
• Change H3 index from str to int to reduce memory usage
• Add option to contextualize any embedding after the fact (export ContextualCountEmbedder logic and create a new function / class)
• Add option to embed any pre-computed count embedding with other classes

[codecov]

Codecov Report

Attention: Patch coverage is 90.07833% with 38 lines in your changes missing coverage. Please review.

Project coverage is 91.15%. Comparing base (ef24000) to head (52338a5).

Files with missing lines	Patch %	Lines
srai/geodatatable.py	86.10%	36 Missing ⚠️
srai/embedders/_base.py	75.00%	2 Missing ⚠️

Additional details and impacted files

@@            Coverage Diff             @@
##             main     #518      +/-   ##
==========================================
- Coverage   91.77%   91.15%   -0.63%     
==========================================
  Files          63       65       +2     
  Lines        2602     2928     +326     
==========================================
+ Hits         2388     2669     +281     
- Misses        214      259      +45     

Flag	Coverage Δ
macos-13-python3.12	91.08% <90.07%> (-0.54%)	⬇️
ubuntu-latest-python3.10	91.08% <90.07%> (-0.54%)	⬇️
ubuntu-latest-python3.11	91.15% <90.07%> (-0.47%)	⬇️
ubuntu-latest-python3.12	91.08% <90.07%> (-0.54%)	⬇️
ubuntu-latest-python3.9	91.14% <90.07%> (-0.63%)	⬇️
windows-latest-python3.12	91.08% <90.07%> (-0.62%)	⬇️

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