chore: organize docs/ and add dev/plot_gen.py

.gitignore

@@ -1 +0,0 @@
-dev/

dev/.gitignore

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+good_fortune_data.txt
+bad_fortune_data.txt

dev/plot_gen.py

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+import matplotlib.pyplot as plt
+
+# Data Processing
+groups = 2
+
+with open('./good_fortune_data.txt', 'r') as f:
+    good_fortune_data = [int(line.split(' ')[1].strip()) for line in f.readlines()]
+    good_fortune_data_len = len(good_fortune_data) // groups
+
+fig, axs = plt.subplots(groups, 1, figsize=(8, 6))
+
+axs[0].bar(range(good_fortune_data_len), good_fortune_data[:good_fortune_data_len], color='skyblue', edgecolor='black')
+axs[0].set_xlabel("Good Fortune Event Index")
+axs[0].set_ylabel("Occurrences")
+
+axs[1].bar(range(good_fortune_data_len), good_fortune_data[good_fortune_data_len:], color='skyblue', edgecolor='black')
+axs[1].set_xlabel("Good Fortune Event Index")
+axs[1].set_ylabel("Occurrences")
+
+plt.tight_layout()
+
+plt.savefig("../docs/good_fortune_statistics.png")
+
+with open('./bad_fortune_data.txt', 'r') as f:
+    bad_fortune_data = [int(line.split(' ')[1].strip()) for line in f.readlines()]
+    bad_fortune_data_len = len(bad_fortune_data) // groups
+
+fig, axs = plt.subplots(groups, 1, figsize=(8, 6))
+
+axs[0].bar(range(bad_fortune_data_len), bad_fortune_data[:bad_fortune_data_len], color='skyblue', edgecolor='black')
+axs[0].set_xlabel("Bad Fortune Event Index")
+axs[0].set_ylabel("Occurrences")
+
+axs[1].bar(range(bad_fortune_data_len), bad_fortune_data[bad_fortune_data_len:], color='skyblue', edgecolor='black')
+axs[1].set_xlabel("Bad Fortune Event Index")
+axs[1].set_ylabel("Occurrences")
+
+plt.tight_layout()
+
+plt.savefig("../docs/bad_fortune_statistics.png")