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- """
- This module contains used interfaces for testing the Generative Adversarial Networks.
- """
- class GanBaseClass:
- """
- Base class for the Generative Adversarial Network.
- It defines the interface used by the Exercise class.
- """
- def __init__(self):
- """
- Initializes the class.
- """
- def reset(self):
- """
- Resets the trained GAN to an random state.
- """
- raise NotImplementedError
- def train(self, dataSet):
- """
- Trains the GAN.
- """
- raise NotImplementedError
- def generateDataPoint(self):
- """
- Generates one synthetic data-point.
- """
- return self.generateData(1)[0]
- def generateData(self, numOfSamples=1):
- """
- Generates a list of synthetic data-points.
- *numOfSamples* is an integer > 0. It gives the number of generated samples.
- """
- raise NotImplementedError
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