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Solve the following problem using Python, implementing the functions described below, one line at a time
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Description:
 def checked_add_with_arr(arr, b, arr_mask=None, b_mask=None):
 """ Perform array addition that checks for underflow and overflow. Performs the addition of an int64 array and an int64 integer (or array) but checks that they do not result in overflow first. For elements that are indicated to be NaN, whether or not there is overflow for that element is automatically ignored. Parameters arr : array addend. b : array or scalar addend. arr_mask : boolean array or None array indicating which elements to exclude from checking b_mask : boolean array or boolean or None array or scalar indicating which element(s) to exclude from checking Returns ------- sum : An array for elements x + b for each element x in arr if b is a scalar or an array for elements x + y for each element pair (x, y) in (arr, b). Raises ------ OverflowError if any x + y exceeds the maximum or minimum int64 value. """

    # For performance reasons, we broadcast 'b' to the new array 'b2'
    # so that it has the same size as 'arr'.
    b2 = np.broadcast_to(b, arr.shape)
    if b_mask is not None:
        # We do the same broadcasting for b_mask as well.
        b2_mask = np.broadcast_to(b_mask, arr.shape)
    else:
        b2_mask = None

    # For elements that are NaN, regardless of their value, we should
    # ignore whether they overflow or not when doing the checked add.
    if arr_mask is not None and b2_mask is not None:
        not_nan = np.logical_not(arr_mask | b2_mask)
    elif arr_mask is not None:
        not_nan = np.logical_not(arr_mask)
    elif b_mask is not None:
        not_nan = np.logical_not(b2_mask)
    else:
        not_nan = np.empty(arr.shape, dtype=bool)
        not_nan.fill(True)

    # gh-14324: For each element in 'arr' and its corresponding element
    # in 'b2', we check the sign of the element in 'b2'. If it is positive,
    # we then check whether its sum with the element in 'arr' exceeds
    # np.iinfo(np.int64).max. If so, we have an overflow error. If it
    # it is negative, we then check whether its sum with the element in
    # 'arr' exceeds np.iinfo(np.int64).min. If so, we have an overflow
    # error as well.
    mask1 = b2 > 0
    mask2 = b2 < 0

    if not mask1.any():
        to_raise = ((np.iinfo(np.int64).min - b2 > arr) & not_nan).any()
    elif not mask2.any():
        to_raise = ((np.iinfo(np.int64).max - b2 < arr) & not_nan).any()
    else:
        to_raise = (((np.iinfo(np.int64).max -
                      b2[mask1] < arr[mask1]) & not_nan[mask1]).any() or
                    ((np.iinfo(np.int64).min -
                      b2[mask2] > arr[mask2]) & not_nan[mask2]).any())

    if to_raise:
        raise OverflowError("Overflow in int64 addition")
    return arr + b