PERF: Improve performance for pyarrow to_numpy with na and na_value

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• closes #xxxx (Replace xxxx with the GitHub issue number)
• 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.

saw this in the engine pr, avoids a warning and improves performance:

pr
%timeit ser.to_numpy(dtype="int64", na_value=1.5)
1.67 ms ± 11.2 µs per loop (mean ± std. dev. of 7 runs, 1,000 loops each)

main
%timeit ser.to_numpy(dtype="int64", na_value=1.5)
/Users/patrick/PycharmProjects/pandas/pandas/core/arrays/arrow/array.py:893: RuntimeWarning: invalid value encountered in cast
  result = np.asarray(self._data, dtype=dtype)
2.42 ms ± 30.3 µs per loop (mean ± std. dev. of 7 runs, 100 loops each)

[phofl]

greenish