isort fix

Author: wishmaster815

machine_learning/t_stochastic_neighbour_embedding.py

@@ -101,9 +101,7 @@ def main() -> None:
         import matplotlib.pyplot as plt
 
         plt.figure(figsize=(7, 5))
-        scatter = plt.scatter(
-            embedding[:, 0], embedding[:, 1], c=labels, cmap="viridis"
-        )
+        scatter = plt.scatter(embedding[:, 0], embedding[:, 1], c=labels, cmap="viridis")
         plt.title("t-SNE Visualization of the Iris Dataset")
         plt.xlabel("Dimension 1")
         plt.ylabel("Dimension 2")