From 89f80b6b2945639368256d174782d6e92424d2da Mon Sep 17 00:00:00 2001 From: ekauffma Date: Fri, 30 Jun 2023 12:59:38 +0200 Subject: [PATCH] rearranged lines which were too long --- src/cabinetry/model_utils.py | 8 ++++++-- 1 file changed, 6 insertions(+), 2 deletions(-) diff --git a/src/cabinetry/model_utils.py b/src/cabinetry/model_utils.py index 8e7d1df0..22ba4a50 100644 --- a/src/cabinetry/model_utils.py +++ b/src/cabinetry/model_utils.py @@ -306,7 +306,9 @@ def yield_stdev( ) # reshape to drop bin axis, transpose to turn channel axis into new bin axis # (channel, sample, bin) -> (sample, bin) where "bin" becomes channel sums - up_yields_channel_sum = up_yields_channel_sum.reshape(up_yields_channel_sum.shape[:-1]).T + up_yields_channel_sum = up_yields_channel_sum.reshape( + up_yields_channel_sum.shape[:-1] + ).T # concatenate per-channel sums to up_comb (along bin axis) up_yields = np.concatenate((up_comb, up_yields_channel_sum), axis=1) @@ -332,7 +334,9 @@ def yield_stdev( for chan_yields in down_yields_per_channel ] ) - down_yields_channel_sum = down_yields_channel_sum.reshape(down_yields_channel_sum.shape[:-1]).T + down_yields_channel_sum = down_yields_channel_sum.reshape( + down_yields_channel_sum.shape[:-1] + ).T down_yields = np.concatenate((down_comb, down_yields_channel_sum), axis=1) down_variations.append(down_yields)