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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 sample(self, bqm, num_spin_reversal_transforms=2, spin_reversal_variables=None, **kwargs):
 """Sample from the binary quadratic model. Args: bqm (:obj:`~dimod.BinaryQuadraticModel`):
 Binary quadratic model to be sampled from. num_spin_reversal_transforms (integer, optional, default=2):
 Number of spin reversal transform runs. spin_reversal_variables (list/dict, optional):
 Deprecated and no longer functional. Returns: :obj:`.SampleSet` Examples: This example runs 100 spin reversals applied to one variable of a QUBO problem. 400 Sample(sample={'a': 0, 'b': 1}, energy=-1.0) """


        if spin_reversal_variables is not None:
            # this kwarg does not actually make sense for multiple SRTs. To
            # get the same functionality a user should apply them by hand
            # to their BQM before submitting.
            import warnings
            warnings.warn("'spin_reversal_variables' kwarg is deprecated and no longer functions.",
                          DeprecationWarning)

        # make a main response
        responses = []

        flipped_bqm = bqm.copy()
        transform = {v: False for v in bqm.variables}

        for ii in range(num_spin_reversal_transforms):
            # flip each variable with a 50% chance
            for v in bqm:
                if random() > .5:
                    transform[v] = not transform[v]
                    flipped_bqm.flip_variable(v)

            flipped_response = self.child.sample(flipped_bqm, **kwargs)

            tf_idxs = [flipped_response.variables.index(v)
                       for v, flip in transform.items() if flip]

            if bqm.vartype is Vartype.SPIN:
                flipped_response.record.sample[:, tf_idxs] = -1 * flipped_response.record.sample[:, tf_idxs]
            else:
                flipped_response.record.sample[:, tf_idxs] = 1 - flipped_response.record.sample[:, tf_idxs]

            responses.append(flipped_response)

        return concatenate(responses)