Regression due to _from_sequence

[martindurant]

Original: https://github.com/dask/dask/issues/10601 cc @jrbourbeau

_______________________________ test_timestamp96 _______________________________
[gw1] linux -- Python 3.10.12 /usr/share/miniconda3/envs/test-environment/bin/python3.10

tmpdir = local('/tmp/pytest-of-runner/pytest-0/popen-gw1/test_timestamp960')

    @FASTPARQUET_MARK
    def test_timestamp96(tmpdir):
        fn = str(tmpdir)
        df = pd.DataFrame({"a": [pd.to_datetime("now", utc=True)]})
        ddf = dd.from_pandas(df, 1)
        ddf.to_parquet(fn, engine="fastparquet", write_index=False, times="int96")
        pf = fastparquet.ParquetFile(fn)
        assert pf._schema[1].type == fastparquet.parquet_thrift.Type.INT96
>       out = dd.read_parquet(fn, engine="fastparquet", index=False).compute()

dask/dataframe/io/tests/test_parquet.py:1883: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
dask/base.py:342: in compute
    (result,) = compute(self, traverse=False, **kwargs)
dask/base.py:628: in compute
    results = schedule(dsk, keys, **kwargs)
dask/dataframe/io/parquet/core.py:96: in __call__
    return read_parquet_part(
dask/dataframe/io/parquet/core.py:654: in read_parquet_part
    dfs = [
dask/dataframe/io/parquet/core.py:655: in <listcomp>
    func(
dask/dataframe/io/parquet/fastparquet.py:1075: in read_partition
    return cls.pf_to_pandas(
dask/dataframe/io/parquet/fastparquet.py:1115: in pf_to_pandas
    df, views = pf.pre_allocate(size, columns, categories, index)
/usr/share/miniconda3/envs/test-environment/lib/python3.10/site-packages/fastparquet/api.py:797: in pre_allocate
    df, arrs = _pre_allocate(size, columns, categories, index, cats,
/usr/share/miniconda3/envs/test-environment/lib/python3.10/site-packages/fastparquet/api.py:1051: in _pre_allocate
    df, views = dataframe.empty(dtypes, size, cols=cols, index_names=index,
/usr/share/miniconda3/envs/test-environment/lib/python3.10/site-packages/fastparquet/dataframe.py:202: in empty
    values = type(bvalues)._from_sequence(values, copy=False, dtype=bvalues.dtype)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

>   ???
E   ValueError: Buffer has wrong number of dimensions (expected 1, got 2)

pandas/_libs/tslibs/tzconversion.pyx:187: ValueError

Regression due to #893 @jbrockmendel

[martindurant]

(duplicated in #896) #