diff --git a/.gitignore b/.gitignore
new file mode 100644
index 0000000..c18dd8d
--- /dev/null
+++ b/.gitignore
@@ -0,0 +1 @@
+__pycache__/
diff --git a/scripts/dynamic_thresholding.py b/scripts/dynamic_thresholding.py
index 8217531..6e61073 100644
--- a/scripts/dynamic_thresholding.py
+++ b/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":
-                pass
-            case "Linear Down":
-                mimicScale *= 1.0 - (self.step / self.maxSteps)
-            case "Cosine Down":
-                mimicScale *= 1.0 - math.cos(self.step / self.maxSteps)
-            case "Linear Up":
-                mimicScale *= self.step / self.maxSteps
-                pass
-            case "Cosine Up":
-                mimicScale *= math.cos(self.step / self.maxSteps)
-                pass
-        match self.cfg_mode:
-            case "Constant":
-                pass
-            case "Linear Down":
-                cfgScale *= 1.0 - (self.step / self.maxSteps)
-            case "Cosine Down":
-                cfgScale *= 1.0 - math.cos(self.step / self.maxSteps)
-            case "Linear Up":
-                cfgScale *= self.step / self.maxSteps
-                pass
-            case "Cosine Up":
-                cfgScale *= math.cos(self.step / self.maxSteps)
-                pass
+        if self.mimic_mode == "Constant":
+            pass
+        elif self.mimic_mode == "Linear Down":
+            mimicScale *= 1.0 - (self.step / self.maxSteps)
+        elif self.mimic_mode == "Cosine Down":
+            mimicScale *= 1.0 - math.cos(self.step / self.maxSteps)
+        elif self.mimic_mode == "Linear Up":
+            mimicScale *= self.step / self.maxSteps
+        elif self.mimic_mode == "Cosine Up":
+            mimicScale *= math.cos(self.step / self.maxSteps)
+        if self.cfg_mode == "Constant":
+            pass
+        elif self.cfg_mode == "Linear Down":
+            cfgScale *= 1.0 - (self.step / self.maxSteps)
+        elif self.cfg_mode == "Cosine Down":
+            cfgScale *= 1.0 - math.cos(self.step / self.maxSteps)
+        elif self.cfg_mode == "Linear Up":
+            cfgScale *= self.step / self.maxSteps
+        elif self.cfg_mode == "Cosine Up":
+            cfgScale *= math.cos(self.step / self.maxSteps)
         # 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"