From 8ce9b36e0fe51002e72f90ec4dbdc53b564c8fad Mon Sep 17 00:00:00 2001
From: Aarni Koskela <akx@iki.fi>
Date: Tue, 13 Jun 2023 13:07:06 +0300
Subject: [PATCH 1/2] Upgrade ruff to 272

---
 .github/workflows/on_pull_request.yaml | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/.github/workflows/on_pull_request.yaml b/.github/workflows/on_pull_request.yaml
index 7b7219fd..8ebf5918 100644
--- a/.github/workflows/on_pull_request.yaml
+++ b/.github/workflows/on_pull_request.yaml
@@ -18,7 +18,7 @@ jobs:
           #     not to have GHA download an (at the time of writing) 4 GB cache
           #     of PyTorch and other dependencies.
       - name: Install Ruff
-        run: pip install ruff==0.0.265
+        run: pip install ruff==0.0.272
       - name: Run Ruff
         run: ruff .
   lint-js:

From d8071647760a2213aaf33a533addb4d84ba86816 Mon Sep 17 00:00:00 2001
From: Aarni Koskela <akx@iki.fi>
Date: Tue, 13 Jun 2023 13:07:39 +0300
Subject: [PATCH 2/2] textual_inversion/logging.py: clean up duplicate key from
 sets (and sort them) (Ruff B033)

---
 modules/textual_inversion/logging.py | 48 +++++++++++++++++++++++++---
 1 file changed, 44 insertions(+), 4 deletions(-)

diff --git a/modules/textual_inversion/logging.py b/modules/textual_inversion/logging.py
index 734a4b6f..45823eb1 100644
--- a/modules/textual_inversion/logging.py
+++ b/modules/textual_inversion/logging.py
@@ -2,11 +2,51 @@ import datetime
 import json
 import os
 
-saved_params_shared = {"model_name", "model_hash", "initial_step", "num_of_dataset_images", "learn_rate", "batch_size", "clip_grad_mode", "clip_grad_value", "gradient_step", "data_root", "log_directory", "training_width", "training_height", "steps", "create_image_every", "template_file", "gradient_step", "latent_sampling_method"}
-saved_params_ti = {"embedding_name", "num_vectors_per_token", "save_embedding_every", "save_image_with_stored_embedding"}
-saved_params_hypernet = {"hypernetwork_name", "layer_structure", "activation_func", "weight_init", "add_layer_norm", "use_dropout", "save_hypernetwork_every"}
+saved_params_shared = {
+    "batch_size",
+    "clip_grad_mode",
+    "clip_grad_value",
+    "create_image_every",
+    "data_root",
+    "gradient_step",
+    "initial_step",
+    "latent_sampling_method",
+    "learn_rate",
+    "log_directory",
+    "model_hash",
+    "model_name",
+    "num_of_dataset_images",
+    "steps",
+    "template_file",
+    "training_height",
+    "training_width",
+}
+saved_params_ti = {
+    "embedding_name",
+    "num_vectors_per_token",
+    "save_embedding_every",
+    "save_image_with_stored_embedding",
+}
+saved_params_hypernet = {
+    "activation_func",
+    "add_layer_norm",
+    "hypernetwork_name",
+    "layer_structure",
+    "save_hypernetwork_every",
+    "use_dropout",
+    "weight_init",
+}
 saved_params_all = saved_params_shared | saved_params_ti | saved_params_hypernet
-saved_params_previews = {"preview_prompt", "preview_negative_prompt", "preview_steps", "preview_sampler_index", "preview_cfg_scale", "preview_seed", "preview_width", "preview_height"}
+saved_params_previews = {
+    "preview_cfg_scale",
+    "preview_height",
+    "preview_negative_prompt",
+    "preview_prompt",
+    "preview_sampler_index",
+    "preview_seed",
+    "preview_steps",
+    "preview_width",
+}
 
 
 def save_settings_to_file(log_directory, all_params):