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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, **kwargs):
 """Sample from the specified binary quadratic model. Args: bqm (:obj:`dimod.BinaryQuadraticModel`):
 Binary quadratic model to be sampled from. **kwargs: Optional keyword arguments for the sampling method, specified per solver. Returns: :class:`dimod.SampleSet` Examples: This example submits a simple Ising problem of just two variables on a D-Wave system selected by the user's default :std:doc:`D-Wave Cloud Client configuration file <cloud-client:intro>`. Because the problem fits in a single :term:`Chimera` unit cell, it is tiled across the solver's entire Chimera graph, resulting in multiple samples (the exact number depends on the working Chimera graph of the D-Wave system). 246 See `Ocean Glossary <https://docs.ocean.dwavesys.com/en/latest/glossary.html>`_ for explanations of technical terms in descriptions of Ocean tools. """


        # apply the embeddings to the given problem to tile it across the child sampler
        embedded_bqm = dimod.BinaryQuadraticModel.empty(bqm.vartype)
        __, __, target_adjacency = self.child.structure
        for embedding in self.embeddings:
            embedded_bqm.update(dwave.embedding.embed_bqm(bqm, embedding, target_adjacency))

        # solve the problem on the child system
        tiled_response = self.child.sample(embedded_bqm, **kwargs)

        responses = []

        for embedding in self.embeddings:
            embedding = {v: chain for v, chain in embedding.items() if v in bqm.variables}

            responses.append(dwave.embedding.unembed_sampleset(tiled_response, embedding, bqm))

        return dimod.concatenate(responses)