def get_linear_interpolated_value(x_values, y_values, x):
    """
    Returns an interpolated value by linear interpolation between two values.
    This method is written to avoid dependency on scipy, which causes issues on
    threading servers.

    Args:
        x_values: Sequence of x values.
        y_values: Corresponding sequence of y values
        x: Get value at particular x

    Returns:
        Value at x.
    """
    a = np.array(sorted(zip(x_values, y_values), key=lambda d: d[0]))

    ind = np.where(a[:, 0] >= x)[0]

    if len(ind) == 0 or ind[0] == 0:
        raise ValueError("x is out of range of provided x_values")

    i = ind[0]
    x1, x2 = a[i - 1][0], a[i][0]
    y1, y2 = a[i - 1][1], a[i][1]

    return y1 + (y2 - y1) / (x2 - x1) * (x - x1)