From d412777e6bcc27be4e960a11bf02469c839c2462 Mon Sep 17 00:00:00 2001 From: Andre Anjos <andre.dos.anjos@gmail.com> Date: Thu, 27 Jul 2023 21:27:01 +0200 Subject: [PATCH] [pyproject] Be more verbose about concatenated datamodule names --- pyproject.toml | 82 +++++++++++++++++++++++++------------------------- 1 file changed, 41 insertions(+), 41 deletions(-) diff --git a/pyproject.toml b/pyproject.toml index d6937ae9..821786ad 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -80,42 +80,42 @@ densenet_pre = "ptbench.configs.models.densenet_pretrained" # montgomery dataset (and cross-validation folds) montgomery = "ptbench.data.montgomery.default" -montgomery_f0 = "ptbench.data.montgomery.fold_0" -montgomery_f1 = "ptbench.data.montgomery.fold_1" -montgomery_f2 = "ptbench.data.montgomery.fold_2" -montgomery_f3 = "ptbench.data.montgomery.fold_3" -montgomery_f4 = "ptbench.data.montgomery.fold_4" -montgomery_f5 = "ptbench.data.montgomery.fold_5" -montgomery_f6 = "ptbench.data.montgomery.fold_6" -montgomery_f7 = "ptbench.data.montgomery.fold_7" -montgomery_f8 = "ptbench.data.montgomery.fold_8" -montgomery_f9 = "ptbench.data.montgomery.fold_9" +montgomery-f0 = "ptbench.data.montgomery.fold_0" +montgomery-f1 = "ptbench.data.montgomery.fold_1" +montgomery-f2 = "ptbench.data.montgomery.fold_2" +montgomery-f3 = "ptbench.data.montgomery.fold_3" +montgomery-f4 = "ptbench.data.montgomery.fold_4" +montgomery-f5 = "ptbench.data.montgomery.fold_5" +montgomery-f6 = "ptbench.data.montgomery.fold_6" +montgomery-f7 = "ptbench.data.montgomery.fold_7" +montgomery-f8 = "ptbench.data.montgomery.fold_8" +montgomery-f9 = "ptbench.data.montgomery.fold_9" # shenzhen dataset (and cross-validation folds) shenzhen = "ptbench.data.shenzhen.default" -shenzhen_f0 = "ptbench.data.shenzhen.fold_0" -shenzhen_f1 = "ptbench.data.shenzhen.fold_1" -shenzhen_f2 = "ptbench.data.shenzhen.fold_2" -shenzhen_f3 = "ptbench.data.shenzhen.fold_3" -shenzhen_f4 = "ptbench.data.shenzhen.fold_4" -shenzhen_f5 = "ptbench.data.shenzhen.fold_5" -shenzhen_f6 = "ptbench.data.shenzhen.fold_6" -shenzhen_f7 = "ptbench.data.shenzhen.fold_7" -shenzhen_f8 = "ptbench.data.shenzhen.fold_8" -shenzhen_f9 = "ptbench.data.shenzhen.fold_9" +shenzhen-f0 = "ptbench.data.shenzhen.fold_0" +shenzhen-f1 = "ptbench.data.shenzhen.fold_1" +shenzhen-f2 = "ptbench.data.shenzhen.fold_2" +shenzhen-f3 = "ptbench.data.shenzhen.fold_3" +shenzhen-f4 = "ptbench.data.shenzhen.fold_4" +shenzhen-f5 = "ptbench.data.shenzhen.fold_5" +shenzhen-f6 = "ptbench.data.shenzhen.fold_6" +shenzhen-f7 = "ptbench.data.shenzhen.fold_7" +shenzhen-f8 = "ptbench.data.shenzhen.fold_8" +shenzhen-f9 = "ptbench.data.shenzhen.fold_9" # indian dataset (and cross-validation folds) indian = "ptbench.data.indian.default" -indian_f0 = "ptbench.data.indian.fold_0" -indian_f1 = "ptbench.data.indian.fold_1" -indian_f2 = "ptbench.data.indian.fold_2" -indian_f3 = "ptbench.data.indian.fold_3" -indian_f4 = "ptbench.data.indian.fold_4" -indian_f5 = "ptbench.data.indian.fold_5" -indian_f6 = "ptbench.data.indian.fold_6" -indian_f7 = "ptbench.data.indian.fold_7" -indian_f8 = "ptbench.data.indian.fold_8" -indian_f9 = "ptbench.data.indian.fold_9" +indian-f0 = "ptbench.data.indian.fold_0" +indian-f1 = "ptbench.data.indian.fold_1" +indian-f2 = "ptbench.data.indian.fold_2" +indian-f3 = "ptbench.data.indian.fold_3" +indian-f4 = "ptbench.data.indian.fold_4" +indian-f5 = "ptbench.data.indian.fold_5" +indian-f6 = "ptbench.data.indian.fold_6" +indian-f7 = "ptbench.data.indian.fold_7" +indian-f8 = "ptbench.data.indian.fold_8" +indian-f9 = "ptbench.data.indian.fold_9" # TBX11K simplified dataset split 1 (and cross-validation folds) tbx11k_simplified = "ptbench.data.tbx11k_simplified.default" @@ -144,17 +144,17 @@ tbx11k_simplified_v2_f8 = "ptbench.data.tbx11k_simplified_v2.fold_8" tbx11k_simplified_v2_f9 = "ptbench.data.tbx11k_simplified_v2.fold_9" # montgomery-shenzhen aggregated dataset -mc_ch = "ptbench.data.mc_ch.default" -mc_ch_f0 = "ptbench.data.mc_ch.fold_0" -mc_ch_f1 = "ptbench.data.mc_ch.fold_1" -mc_ch_f2 = "ptbench.data.mc_ch.fold_2" -mc_ch_f3 = "ptbench.data.mc_ch.fold_3" -mc_ch_f4 = "ptbench.data.mc_ch.fold_4" -mc_ch_f5 = "ptbench.data.mc_ch.fold_5" -mc_ch_f6 = "ptbench.data.mc_ch.fold_6" -mc_ch_f7 = "ptbench.data.mc_ch.fold_7" -mc_ch_f8 = "ptbench.data.mc_ch.fold_8" -mc_ch_f9 = "ptbench.data.mc_ch.fold_9" +montgomery-shenzhen = "ptbench.data.montgomery_shenzhen.default" +montgomery-shenzhen_f0 = "ptbench.data.montgomery_shenzhen.fold_0" +montgomery-shenzhen_f1 = "ptbench.data.montgomery_shenzhen.fold_1" +montgomery-shenzhen_f2 = "ptbench.data.montgomery_shenzhen.fold_2" +montgomery-shenzhen_f3 = "ptbench.data.montgomery_shenzhen.fold_3" +montgomery-shenzhen_f4 = "ptbench.data.montgomery_shenzhen.fold_4" +montgomery-shenzhen_f5 = "ptbench.data.montgomery_shenzhen.fold_5" +montgomery-shenzhen_f6 = "ptbench.data.montgomery_shenzhen.fold_6" +montgomery-shenzhen_f7 = "ptbench.data.montgomery_shenzhen.fold_7" +montgomery-shenzhen_f8 = "ptbench.data.montgomery_shenzhen.fold_8" +montgomery-shenzhen_f9 = "ptbench.data.montgomery_shenzhen.fold_9" # montgomery-shenzhen-indian aggregated dataset mc_ch_in = "ptbench.data.mc_ch_in.default" -- GitLab