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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 inject(self, other):
 """Add two compatible `Series` along their shared x-axis values. Parameters other : `Series` a `Series` whose xindex intersects with `self.xindex` Returns ------- out : `Series` the sum of `self` and `other` along their shared x-axis values Raises ------ ValueError if `self` and `other` have incompatible units or xindex intervals Notes ----- If `other.xindex` and `self.xindex` do not intersect, this method will return a copy of `self`. If the series have uniformly offset indices, this method will raise a warning. If `self.xindex` is an array of timestamps, and if `other.xspan` is not a subset of `self.xspan`, then `other` will be cropped before being adding to `self`. Users who wish to taper or window their `Series` should do so before passing it to this method. See :meth:`TimeSeries.taper` and :func:`~gwpy.signal.window.planck` for more information. """

        # check Series compatibility
        self.is_compatible(other)
        if (self.xunit == second) and (other.xspan[0] < self.xspan[0]):
            other = other.crop(start=self.xspan[0])
        if (self.xunit == second) and (other.xspan[1] > self.xspan[1]):
            other = other.crop(end=self.xspan[1])
        ox0 = other.x0.to(self.x0.unit)
        idx = ((ox0 - self.x0) / self.dx).value
        if not idx.is_integer():
            warn('Series have overlapping xspan but their x-axis values are '
                 'uniformly offset. Returning a copy of the original Series.')
            return self.copy()
        # add the Series along their shared samples
        slice_ = slice(int(idx), int(idx) + other.size)
        out = self.copy()
        out.value[slice_] += other.value
        return out