datasets/ClassPrioritySampler.py [45:51]:
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        self._capacity = capacity
        self._tree_size = 2 * capacity - 1
        self.fixed_scale = fixed_scale
        self.fixed_weights = np.zeros(self._capacity) if fixed_weights is None \
                             else fixed_weights
        self.tree = np.zeros(self._tree_size)
        self._initialized = False
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datasets/MixedPrioritizedSampler.py [21:27]:
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        self._capacity = capacity
        self._tree_size = 2 * capacity - 1
        self.fixed_scale = fixed_scale
        self.fixed_weights = np.zeros(self._capacity) if fixed_weights is None \
                             else fixed_weights
        self.tree = np.zeros(self._tree_size)
        self._initialized = False
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