human
Complete the below
def coerce_to_dtypes(result, dtypes):

    ''''given a dtypes and a result set, coerce the result elements to the
    dtypes'
    '''
 Can you provide a the Python program you requested?
assistant
#Here is the Python program you requested.
    if (len(result) != len(dtypes)):
        raise AssertionError('_coerce_to_dtypes    requires    equal    len    arrays')
    from pandas.core.tools.timedeltas import _coerce_scalar_to_timedelta_type
    def conv(r, dtype):
        try:
            if isna(r):
                pass
            elif (dtype == _NS_DTYPE):
                r = tslib.Timestamp(r)
            elif (dtype == _TD_DTYPE):
                r = _coerce_scalar_to_timedelta_type(r)
            elif (dtype == np.bool_):
                if (is_integer(r) and (r not in [0, 1])):
                    return int(r)
                r = bool(r)
            elif (dtype.kind == 'f'):
                r = float(r)
            elif (dtype.kind == 'i'):
                r = int(r)
        except:
            pass
        return r
    return [conv(r, dtype) for (r, dtype) in zip(result, dtypes)]