PERF: faster _coerce_to_data_and_mask() for astype("Float64")

[auderson]

• closes PERF: df.astype("float64[pyarrow]") is slow, df.astype("Float64") is super slow #60066
• Tests added and passed if fixing a bug or adding a new feature
• All code checks passed.
• Added type annotations to new arguments/methods/functions.
• Added an entry in the latest doc/source/whatsnew/vX.X.X.rst file if fixing a bug or adding a new feature.

Use np.isnan for floats instead of libmissing.is_numeric_na. Also add a fast path for booleans

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[auderson]

Failures seem unrelated: FAILED pandas/tests/io/test_parquet.py::TestParquetPyArrow::test_timezone_aware_index[timezone_aware_date_list1] - AssertionError: DataFrame.index are different

[auderson]

The results from asv don't seem as impressive as the results above, guessing the scale of these tests is much smaller.

[auderson]

@rhshadrach friendly ping

[jorisvandenbossche]

This looks good to me, thanks a lot @auderson!

[mroeschke]

Could we ever get a masked float values here with pd.NA?

[jorisvandenbossche]

There is a

    if not copy:
        values = np.asarray(values)
    else:
        values = np.array(values, copy=copy)

above, so values is guaranteed to be a numpy array at this point

[mroeschke]

Thanks @auderson