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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 from_config(cls, cp, section, outputs, skip_opts=None, additional_opts=None):
 """Initializes a Logistic transform from the given section. The section must specify an input and output variable name. The codomain of the output may be specified using `min-{output}`, `max-{output}`. Example: .. code-block:: ini [{section}-q] name = logistic inputvar = logitq outputvar = q min-q = 1 max-q = 8 Parameters cp : pycbc.workflow.WorkflowConfigParser A parsed configuration file that contains the transform options. section : str Name of the section in the configuration file. outputs : str The names of the parameters that are output by this transformation, separated by `VARARGS_DELIM`. These must appear in the "tag" part of the section header. skip_opts : list, optional Do not read options in the given list. additional_opts : dict, optional Any additional arguments to pass to the class. If an option is provided that also exists in the config file, the value provided will be used instead of being read from the file. Returns ------- cls An instance of the class. """

        # pull out the minimum, maximum values of the output variable
        outputvar = cp.get_opt_tag(section, 'output', outputs)
        if skip_opts is None:
            skip_opts = []
        if additional_opts is None:
            additional_opts = {}
        else:
            additional_opts = additional_opts.copy()
        s = '-'.join([section, outputs])
        opt = 'min-{}'.format(outputvar)
        if cp.has_option(s, opt):
            a = cp.get_opt_tag(section, opt, outputs)
            skip_opts.append(opt)
        else:
            a = None
        opt = 'max-{}'.format(outputvar)
        if cp.has_option(s, opt):
            b = cp.get_opt_tag(section, opt, outputs)
            skip_opts.append(opt)
        else:
            b = None
        if a is None and b is not None or b is None and a is not None:
            raise ValueError("if providing a min(max)-{}, must also provide "
                             "a max(min)-{}".format(outputvar, outputvar))
        elif a is not None:
            additional_opts.update({'codomain': (float(a), float(b))})
        return super(Logistic, cls).from_config(cp, section, outputs,
                                                skip_opts, additional_opts)