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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 check_compatibility(self, other, check_edges=False, precision=1E-7):
 """ Test whether two histograms are considered compatible by the number of dimensions, number of bins along each axis, and optionally the bin edges. Parameters other : histogram A rootpy histogram check_edges : bool, optional (default=False) If True then also check that the bin edges are equal within the specified precision. precision : float, optional (default=1E-7) The value below which differences between floats are treated as nil when comparing bin edges. Raises ------ TypeError If the histogram dimensionalities do not match ValueError If the histogram sizes, number of bins along an axis, or optionally the bin edges do not match """

        if self.GetDimension() != other.GetDimension():
            raise TypeError("histogram dimensionalities do not match")
        if len(self) != len(other):
            raise ValueError("histogram sizes do not match")
        for axis in range(self.GetDimension()):
            if self.nbins(axis=axis) != other.nbins(axis=axis):
                raise ValueError(
                    "numbers of bins along axis {0:d} do not match".format(
                        axis))
        if check_edges:
            for axis in range(self.GetDimension()):
                if not all([abs(l - r) < precision
                    for l, r in zip(self._edges(axis), other._edges(axis))]):
                    raise ValueError(
                        "edges do not match along axis {0:d}".format(axis))