[MAINTENANCE] Suppress mypy assignment errors in Trino compatibility module

[NathanFarmer]

Why

The trino package added a PEP-561 py.typed marker in version 0.337.0 (released 2026-03-06). Before this, mypy treated trino as an untyped package and silently ignored its type information. Now that trino is recognized as typed, mypy type-checks both branches of the try/except ImportError pattern in compatibility/trino.py and flags assigning NotImported to variables it infers as ModuleType.

This doesn't reproduce locally when trino is installed because mypy considers the except branch unreachable. In CI, where trino is not installed, mypy still infers module types from the import statements and checks both branches.

What

Add # type: ignore[assignment] with explanatory comments to each fallback assignment in compatibility/trino.py, matching the pattern already used in postgresql.py and other compatibility modules.

[netlify]

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Name	Link
🔨 Latest commit	b773860
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[codecov]

Codecov Report

✅ All modified and coverable lines are covered by tests.
✅ Project coverage is 84.57%. Comparing base (8eb7627) to head (b773860).
⚠️ Report is 1 commits behind head on develop.
✅ All tests successful. No failed tests found.

Additional details and impacted files

@@           Coverage Diff            @@
##           develop   #11707   +/-   ##
========================================
  Coverage    84.57%   84.57%           
========================================
  Files          472      472           
  Lines        39202    39202           
========================================
  Hits         33157    33157           
  Misses        6045     6045           

Flag	Coverage Δ
3.10	73.46% <100.00%> (-0.02%)	⬇️
3.10 athena	?
3.10 aws_deps	?
3.10 big	?
3.10 clickhouse	?
3.10 filesystem	?
3.10 mysql	?
3.10 openpyxl or pyarrow or project or sqlite or aws_creds	?
3.10 postgresql	?
3.10 spark	?
3.10 spark_connect	?
3.10 sql_server	?
3.10 trino	?
3.11	73.51% <100.00%> (-0.02%)	⬇️
3.11 athena	?
3.11 aws_deps	?
3.11 big	?
3.11 clickhouse	?
3.11 filesystem	?
3.11 mysql	?
3.11 openpyxl or pyarrow or project or sqlite or aws_creds	?
3.11 postgresql	?
3.11 spark_connect	?
3.11 sql_server	?
3.11 trino	?
3.12	73.53% <100.00%> (ø)
3.12 athena	?
3.12 aws_deps	?
3.12 big	?
3.12 filesystem	?
3.12 mysql	?
3.12 openpyxl or pyarrow or project or sqlite or aws_creds	?
3.12 postgresql	?
3.12 spark	?
3.12 spark_connect	?
3.12 sql_server	?
3.12 trino	?
3.13	73.53% <100.00%> (ø)
3.13 athena	41.96% <100.00%> (ø)
3.13 aws_deps	45.22% <100.00%> (ø)
3.13 big	55.28% <100.00%> (ø)
3.13 bigquery	51.24% <100.00%> (ø)
3.13 clickhouse	41.98% <100.00%> (ø)
3.13 databricks	53.03% <100.00%> (ø)
3.13 filesystem	64.37% <100.00%> (ø)
3.13 gx-redshift	51.39% <100.00%> (ø)
3.13 mysql	51.79% <100.00%> (ø)
3.13 openpyxl or pyarrow or project or sqlite or aws_creds	59.95% <100.00%> (ø)
3.13 postgresql	55.16% <100.00%> (ø)
3.13 snowflake	53.87% <100.00%> (-0.01%)	⬇️
3.13 spark	55.91% <100.00%> (ø)
3.13 spark_connect	46.88% <100.00%> (ø)
3.13 sql_server	53.21% <100.00%> (ø)
3.13 trino	48.75% <0.00%> (ø)
cloud	0.00% <0.00%> (ø)
docs-basic	59.23% <0.00%> (ø)
docs-creds-needed	57.94% <100.00%> (ø)
docs-spark	57.31% <100.00%> (ø)

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