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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 wgan(cls, data:DataBunch, generator:nn.Module, critic:nn.Module, switcher:Callback=None, clip:float=0.01, **learn_kwargs):
        "Create a WGAN from `data`, `generator` and `critic`."
        return cls(data, generator, critic, NoopLoss(), WassersteinLoss(), switcher=switcher, clip=clip, **learn_kwargs)