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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 cache_net_infer(net, use_caching, y_preds):
 """Caching context for ``skorch.NeuralNet`` instance. Returns a modified version of the net whose ``infer`` method will subsequently return cached predictions. Leaving the context will undo the overwrite of the ``infer`` method."""

    if not use_caching:
        yield net
        return
    y_preds = iter(y_preds)
    net.infer = lambda *a, **kw: next(y_preds)

    try:
        yield net
    finally:
        # By setting net.infer we define an attribute `infer`
        # that precedes the bound method `infer`. By deleting
        # the entry from the attribute dict we undo this.
        del net.__dict__['infer']