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update comment about result dimension
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python/tskit/trees.py

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@@ -11029,7 +11029,7 @@ def hap_norm(X, n, nA, nB):
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mode,
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)
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# Orient the data so that the first dimension is the sample set so that
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# we get one LD matrix per sample set.
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# we get one LD matrix per result dimension
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return np.moveaxis(result, -1, 0)
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def ld_matrix(

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