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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 copy_samples(self, other, parameters=None, parameter_names=None, read_args=None, write_args=None):
 """Should copy samples to the other files. Parameters other : InferenceFile An open inference file to write to. parameters : list of str, optional List of parameters to copy. If None, will copy all parameters. parameter_names : dict, optional Rename one or more parameters to the given name. The dictionary should map parameter -> parameter name. If None, will just use the original parameter names. read_args : dict, optional Arguments to pass to ``read_samples``. write_args : dict, optional Arguments to pass to ``write_samples``. """

        # select the samples to copy
        logging.info("Reading samples to copy")
        if parameters is None:
            parameters = self.variable_params
        # if list of desired parameters is different, rename
        if set(parameters) != set(self.variable_params):
            other.attrs['variable_params'] = parameters
        samples = self.read_samples(parameters, **read_args)
        logging.info("Copying {} samples".format(samples.size))
        # if different parameter names are desired, get them from the samples
        if parameter_names:
            arrs = {pname: samples[p] for p, pname in parameter_names.items()}
            arrs.update({p: samples[p] for p in parameters if
                         p not in parameter_names})
            samples = FieldArray.from_kwargs(**arrs)
            other.attrs['variable_params'] = samples.fieldnames
        logging.info("Writing samples")
        other.write_samples(other, samples, **write_args)