Bug in Series.str.repeat with string dtype and sequence of repeats

[TomAugspurger]

Code Sample, a copy-pastable example if possible

In [1]: import pandas as pd

In [2]: s = pd.Series(['a', None], dtype="string")

In [3]: s.str.repeat([1, 2])
---------------------------------------------------------------------------
TypeError                                 Traceback (most recent call last)
~/sandbox/pandas/pandas/core/strings.py in rep(x, r)
    781             try:
--> 782                 return bytes.__mul__(x, r)
    783             except TypeError:

TypeError: descriptor '__mul__' requires a 'bytes' object but received a 'NAType'

During handling of the above exception, another exception occurred:

TypeError                                 Traceback (most recent call last)
<ipython-input-3-a01827562f7a> in <module>
----> 1 s.str.repeat([1, 2])

~/sandbox/pandas/pandas/core/strings.py in wrapper(self, *args, **kwargs)
   1950                 )
   1951                 raise TypeError(msg)
-> 1952             return func(self, *args, **kwargs)
   1953
   1954         wrapper.__name__ = func_name

~/sandbox/pandas/pandas/core/strings.py in repeat(self, repeats)
   2780     @forbid_nonstring_types(["bytes"])
   2781     def repeat(self, repeats):
-> 2782         result = str_repeat(self._parent, repeats)
   2783         return self._wrap_result(result)
   2784

~/sandbox/pandas/pandas/core/strings.py in str_repeat(arr, repeats)
    785
    786         repeats = np.asarray(repeats, dtype=object)
--> 787         result = libops.vec_binop(com.values_from_object(arr), repeats, rep)
    788         return result
    789

~/sandbox/pandas/pandas/_libs/ops.pyx in pandas._libs.ops.vec_binop()
    239                 result[i] = y
    240             else:
--> 241                 raise
    242
    243     return maybe_convert_bool(result.base)  # `.base` to access np.ndarray

~/sandbox/pandas/pandas/_libs/ops.pyx in pandas._libs.ops.vec_binop()
    232         y = right[i]
    233         try:
--> 234             result[i] = op(x, y)
    235         except TypeError:
    236             if x is None or is_nan(x):

~/sandbox/pandas/pandas/core/strings.py in rep(x, r)
    782                 return bytes.__mul__(x, r)
    783             except TypeError:
--> 784                 return str.__mul__(x, r)
    785
    786         repeats = np.asarray(repeats, dtype=object)

TypeError: descriptor '__mul__' requires a 'str' object but received a 'NAType'

Problem description

The str_repeat method correctly handles NA values when repeats is a scalar, but fails when its a sequence.

Expected Output

0       a
1    <NA>
dtype: string

[prakhar987]

will look into this

[prakhar987]

Seems to me is_nan() is not able to identify <NA>.
In vec_binop of ops.pyx if I use type(x) is pandas._libs.missing.NAType as an additional condition then the code works. I will look into is_nan to fix this.