From 1745e0ff4a70c7a8501d3f45e24d6c054c919aa3 Mon Sep 17 00:00:00 2001 From: marcocuturi Date: Thu, 13 Jul 2023 15:01:33 -0700 Subject: [PATCH] indent --- src/ott/tools/soft_sort.py | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/src/ott/tools/soft_sort.py b/src/ott/tools/soft_sort.py index 2303a0c70..feb27ec52 100644 --- a/src/ott/tools/soft_sort.py +++ b/src/ott/tools/soft_sort.py @@ -304,8 +304,8 @@ def ranks( returned in the output will be a convex combination of ``{1, .., num_targets}/num_targets``. The weight of each of these points is assumed to be uniform. If neither ``num_targets`` nor - ``target_weights`` are specified, ``num_targets`` defaults to the size - of the slices of the input that are sorted, i.e. ``inputs.shape[axis]``. + ``target_weights`` are specified, ``num_targets`` defaults to the size + of the slices of the input that are sorted, i.e. ``inputs.shape[axis]``. kwargs: keyword arguments passed on to lower level functions. Of interest to the user are ``squashing_fun``, which will redistribute the values in ``inputs`` to lie in :math:`[0,1]` (sigmoid of whitened values by default)