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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 dimensions(self, full=0):
 """Return a dictionnary describing every dataset dimension. Args:: full true to get complete info about each dimension false to report only each dimension length Returns:: Dictionnary where each key is a dimension name. If no name has been given to the dimension, the key is set to 'fakeDimx' where 'x' is the dimension index number. If parameter 'full' is false, key value is the dimension length. If 'full' is true, key value is a 5-element tuple with the following elements: - dimension length; for an unlimited dimension, the reported length is the current dimension length - dimension index number - 1 if the dimension is unlimited, 0 otherwise - dimension scale type, or 0 if no scale is defined for the dimension - number of attributes defined on the dimension C library equivalent : no equivalent """


        # Get the number of dimensions and their lengths.
        nDims, dimLen = self.info()[1:3]
        if isinstance(dimLen, int):    # need a sequence
            dimLen = [dimLen]
        # Check if the dataset is appendable.
        unlim = self.isrecord()

        # Inquire each dimension
        res = {}
        for n in range(nDims):
            d = self.dim(n)
            # The length reported by info() is 0 for an unlimited dimension.
            # Rather use the lengths reported by SDS.info()
            name, k, scaleType, nAtt = d.info()
            length = dimLen[n]
            if full:
                res[name] = (length, n, unlim and n == 0,
                             scaleType, nAtt)
            else:
                res[name] = length

        return res