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Remove excess blank lines
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sklearn/svm/base.py

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@@ -130,8 +130,6 @@ def fit(self, X, y, sample_weight=None):
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rnd = check_random_state(self.random_state)
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sparse = sp.isspmatrix(X)
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if sparse and self.kernel == "precomputed":
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raise TypeError("Sparse precomputed kernels are not supported.")
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self._sparse = sparse and not callable(self.kernel)

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