remove python 3.10 code, for #1

.gitignore

@@ -0,0 +1 @@
+__pycache__/

scripts/dynamic_thresholding.py

@@ -103,32 +103,26 @@ class CustomCFGDenoiser(sd_samplers.CFGDenoiser):
 
     def dynthresh(self, cond, uncond, cfgScale, conds_list):
         mimicScale = self.mimic_scale
-        match self.mimic_mode:
-            case "Constant":
+        if self.mimic_mode == "Constant":
             pass
-            case "Linear Down":
+        elif self.mimic_mode == "Linear Down":
             mimicScale *= 1.0 - (self.step / self.maxSteps)
-            case "Cosine Down":
+        elif self.mimic_mode == "Cosine Down":
             mimicScale *= 1.0 - math.cos(self.step / self.maxSteps)
-            case "Linear Up":
+        elif self.mimic_mode == "Linear Up":
             mimicScale *= self.step / self.maxSteps
-                pass
-            case "Cosine Up":
+        elif self.mimic_mode == "Cosine Up":
             mimicScale *= math.cos(self.step / self.maxSteps)
+        if self.cfg_mode == "Constant":
             pass
-        match self.cfg_mode:
-            case "Constant":
-                pass
-            case "Linear Down":
+        elif self.cfg_mode == "Linear Down":
             cfgScale *= 1.0 - (self.step / self.maxSteps)
-            case "Cosine Down":
+        elif self.cfg_mode == "Cosine Down":
             cfgScale *= 1.0 - math.cos(self.step / self.maxSteps)
-            case "Linear Up":
+        elif self.cfg_mode == "Linear Up":
             cfgScale *= self.step / self.maxSteps
-                pass
-            case "Cosine Up":
+        elif self.cfg_mode == "Cosine Up":
             cfgScale *= math.cos(self.step / self.maxSteps)
-                pass
         # uncond shape is (batch, 4, height, width)
         conds_per_batch = cond.shape[0] / uncond.shape[0]
         assert conds_per_batch == int(conds_per_batch), "Expected # of conds per batch to be constant across batches"