Solution

.flake8

@@ -4,4 +4,4 @@ ignore = E203, E266, W503, ANN002, ANN003, ANN101, ANN102, ANN401, N807, N818
 max-line-length = 79
 max-complexity = 18
 select = B,C,E,F,W,T4,B9,ANN,Q0,N8,VNE
-exclude = venv, tests
+exclude = venv, tests, .venv

app/main.py

@@ -1 +1,33 @@
-# write your code here
+import random
+import matplotlib.pyplot as plt
+
+
+def flip_coin() -> dict:
+    results = {i: 0 for i in range(11)}
+    num_trials = 10000
+
+    for _ in range(num_trials):
+        count = sum(random.choice([0, 1]) for _ in range(10))
+        results[count] += 1
+
+    for key, value in results.items():
+        results[key]: (value // num_trials) * 100
+    return results
+
+
+def draw_gaussian_distribution_graph(distribution: dict) -> None:
+    keys = list(distribution.keys())
+    values = list(distribution.values())
+
+    plt.bar(keys, values, color="skyblue", edgecolor="black")
+    plt.title("Gaussian Distribution of Coin Flips")
+    plt.xlabel("Number of Heads")
+    plt.ylabel("Percentage")
+    plt.xticks(range(11))  # Set x-axis ticks from 0 to 10
+    plt.grid(axis="y", linestyle="--", alpha=0.7)
+    plt.show()
+
+    coin_flip_distribution = flip_coin()
+    print(coin_flip_distribution)
+
+    draw_gaussian_distribution_graph(coin_flip_distribution)