Triage: 11 open issues appear resolved on master

Of the 21 open issues, 11 look fixed on master (2.8.0). I checked each one against the code and, where the report had input, ran it with polars 1.43 / pyarrow 25.

Fixed; can be closed

• #36, #38 scan_csv() got an unexpected keyword argument 'sep': fixed by #42 (see the maintainer's comment on #36). read_gtf.py:118 now passes separator.
• #40 logging.basicConfig at import: removed in 9e9222d (#71). There is no basicConfig anywhere in gtfparse/.
• #50 dtypes deprecation: read_gtf.py:121 passes schema_overrides (5a740c9).
• #49 'LazyFrame' object has no attribute 'lazy' (reported on 2.0.1 / Python 3.6): read_gtf.py:124 now uses eager read_csv(...).lazy(), and requires-python >= 3.9.
• #19 Scallop GTF, "Integer column has NA values": the snippet from the issue parses into 30 rows × 13 columns. That error message no longer exists in the code.
• #32 pyarrow undeclared, #52 pandas undeclared: both are in requirements.txt:2-3.
• #47 pyarrow <14.1 pin: upper bounds removed in 1c50944 (#51).
• #45 table_to_blockmanager (pyarrow 10) and #55 numpy 2 _ARRAY_API (old pyarrow): both come from old pyarrow builds, and pyarrow>=18.0.0 is now required. The commenter on #45 says upgrading pyarrow fixed it.

Not in this repo

• #43: Bioconda recipe for 2.1.0.

Still reproduce

• #44: description "part1; part2" parses as part1.
• #23: attribute_parsing.py:71 still does split(" ", 2)[:2].

Not checked: #16, #53, #65, #66, #69. #13 is addressed by #74.

Start by reviewing the referenced issues, commits, and code locations in read_gtf.py and attribute_parsing.py. Confirm the listed fixes, close issues marked fixed, leave #43 for Bioconda, and keep #44 and #23 open because they still reproduce. Check the remaining unreviewed issues before finalizing the triage.