feat: move hashsolo to sc.pp

[flying-sheep]

Basically just moving the code over and adding an anndata.acc based version of the API on top.

People had issues with our old API since it only supported obs columns:

• https://www.biostars.org/p/9561534/
• https://discourse.scverse.org/t/how-to-install-solo-sc-or-use-hashsolo-from-scvi/1702

The new API of course supports everything! Yay accessors!

• Closes move sc.external.pp.hashsolo into sc.pp #4304
• Tests included or not required because:

• Release notes not necessary because:

[codecov]

❌ 1 Tests Failed:

Tests completed	Failed	Passed	Skipped
2934	1	2933	206

View the top 1 failed test(s) by shortest run time

tests/test_datasets.py::test_ebi_expression_atlas

Stack Traces | 104s run time

monkeypatch = <_pytest.monkeypatch.MonkeyPatch object at 0x7f5b97aa2c80>

    #x1B[0m#x1B[37m@pytest#x1B[39;49;00m.mark.internet#x1B[90m#x1B[39;49;00m
    #x1B[94mdef#x1B[39;49;00m#x1B[90m #x1B[39;49;00m#x1B[92mtest_ebi_expression_atlas#x1B[39;49;00m(monkeypatch: pytest.MonkeyPatch):#x1B[90m#x1B[39;49;00m
        #x1B[94mfrom#x1B[39;49;00m#x1B[90m #x1B[39;49;00m#x1B[04m#x1B[96mscanpy#x1B[39;49;00m#x1B[04m#x1B[96m.#x1B[39;49;00m#x1B[04m#x1B[96mdatasets#x1B[39;49;00m#x1B[90m #x1B[39;49;00m#x1B[94mimport#x1B[39;49;00m _ebi_expression_atlas #x1B[94mas#x1B[39;49;00m ea_mod#x1B[90m#x1B[39;49;00m
    #x1B[90m#x1B[39;49;00m
        #x1B[90m# make sure we use chunks when testing.#x1B[39;49;00m#x1B[90m#x1B[39;49;00m
        #x1B[90m# This dataset has <8M entries, so 4M entries/chunk = 2 chunks#x1B[39;49;00m#x1B[90m#x1B[39;49;00m
        #x1B[94massert#x1B[39;49;00m #x1B[96mhasattr#x1B[39;49;00m(ea_mod, #x1B[33m"#x1B[39;49;00m#x1B[33mCHUNK_SIZE#x1B[39;49;00m#x1B[33m"#x1B[39;49;00m)#x1B[90m#x1B[39;49;00m
        monkeypatch.setattr(ea_mod, #x1B[33m"#x1B[39;49;00m#x1B[33mCHUNK_SIZE#x1B[39;49;00m#x1B[33m"#x1B[39;49;00m, #x1B[96mint#x1B[39;49;00m(#x1B[94m4e6#x1B[39;49;00m))#x1B[90m#x1B[39;49;00m
    #x1B[90m#x1B[39;49;00m
>       adata = sc.datasets.ebi_expression_atlas(#x1B[33m"#x1B[39;49;00m#x1B[33mE-MTAB-4888#x1B[39;49;00m#x1B[33m"#x1B[39;49;00m)#x1B[90m#x1B[39;49;00m
                ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^#x1B[90m#x1B[39;49;00m

#x1B[1m#x1B[31mtests/test_datasets.py#x1B[0m:88: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
#x1B[1m#x1B[.../scanpy/datasets/_ebi_expression_atlas.py#x1B[0m:165: in ebi_expression_atlas
    #x1B[0mobs = pd.read_csv(experiment_dir / #x1B[33m"#x1B[39;49;00m#x1B[33mexperimental_design.tsv#x1B[39;49;00m#x1B[33m"#x1B[39;49;00m, sep=#x1B[33m"#x1B[39;49;00m#x1B[33m\t#x1B[39;49;00m#x1B[33m"#x1B[39;49;00m, index_col=#x1B[94m0#x1B[39;49;00m)#x1B[90m#x1B[39;49;00m
          ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^#x1B[90m#x1B[39;49;00m
#x1B[1m#x1B[31m../../../..../scanpy/B9PcT7QG/hatch-test.stable/lib/python3.14.../io/parsers/readers.py#x1B[0m:873: in read_csv
    #x1B[0m#x1B[94mreturn#x1B[39;49;00m _read(filepath_or_buffer, kwds)#x1B[90m#x1B[39;49;00m
           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^#x1B[90m#x1B[39;49;00m
#x1B[1m#x1B[31m../../../..../scanpy/B9PcT7QG/hatch-test.stable/lib/python3.14.../io/parsers/readers.py#x1B[0m:306: in _read
    #x1B[0m#x1B[94mreturn#x1B[39;49;00m parser.read(nrows)#x1B[90m#x1B[39;49;00m
           ^^^^^^^^^^^^^^^^^^#x1B[90m#x1B[39;49;00m
#x1B[1m#x1B[31m../../../..../scanpy/B9PcT7QG/hatch-test.stable/lib/python3.14.../io/parsers/readers.py#x1B[0m:1947: in read
    #x1B[0m) = #x1B[96mself#x1B[39;49;00m._engine.read(  #x1B[90m# type: ignore[attr-defined]#x1B[39;49;00m#x1B[90m#x1B[39;49;00m
#x1B[1m#x1B[31m../../../..../scanpy/B9PcT7QG/hatch-test.stable/lib/python3.14.../io/parsers/c_parser_wrapper.py#x1B[0m:215: in read
    #x1B[0mchunks = #x1B[96mself#x1B[39;49;00m._reader.read_low_memory(nrows)#x1B[90m#x1B[39;49;00m
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^#x1B[90m#x1B[39;49;00m
#x1B[1m#x1B[31mpandas/_libs/parsers.pyx#x1B[0m:832: in pandas._libs.parsers.TextReader.read_low_memory
    #x1B[0m#x1B[04m#x1B[91m?#x1B[39;49;00m#x1B[04m#x1B[91m?#x1B[39;49;00m#x1B[04m#x1B[91m?#x1B[39;49;00m#x1B[90m#x1B[39;49;00m
#x1B[1m#x1B[31mpandas/_libs/parsers.pyx#x1B[0m:897: in pandas._libs.parsers.TextReader._read_rows
    #x1B[0m#x1B[04m#x1B[91m?#x1B[39;49;00m#x1B[04m#x1B[91m?#x1B[39;49;00m#x1B[04m#x1B[91m?#x1B[39;49;00m#x1B[90m#x1B[39;49;00m
#x1B[1m#x1B[31mpandas/_libs/parsers.pyx#x1B[0m:868: in pandas._libs.parsers.TextReader._tokenize_rows
    #x1B[0m#x1B[04m#x1B[91m?#x1B[39;49;00m#x1B[04m#x1B[91m?#x1B[39;49;00m#x1B[04m#x1B[91m?#x1B[39;49;00m#x1B[90m#x1B[39;49;00m
#x1B[1m#x1B[31mpandas/_libs/parsers.pyx#x1B[0m:885: in pandas._libs.parsers.TextReader._check_tokenize_status
    #x1B[0m#x1B[04m#x1B[91m?#x1B[39;49;00m#x1B[04m#x1B[91m?#x1B[39;49;00m#x1B[04m#x1B[91m?#x1B[39;49;00m#x1B[90m#x1B[39;49;00m
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

>   #x1B[0m#x1B[04m#x1B[91m?#x1B[39;49;00m#x1B[04m#x1B[91m?#x1B[39;49;00m#x1B[04m#x1B[91m?#x1B[39;49;00m#x1B[90m#x1B[39;49;00m
#x1B[1m#x1B[31mE   pandas.errors.ParserError: Error tokenizing data. C error: Expected 27 fields in line 2669, saw 31#x1B[0m

#x1B[1m#x1B[31mpandas/_libs/parsers.pyx#x1B[0m:2084: ParserError

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[selmanozleyen]

Some edge cases inherited from main and one new behaviour with the pd.unique and loc usage instead of the old np.unique. Plus one nitpick on dead return variables. But the rest seems good

[selmanozleyen]

nice, all looks very modern now also!