Solution

app/main.py

@@ -1 +1,41 @@
-# write your code here
+from random import randint
+
+import matplotlib
+import matplotlib.pyplot as plt
+matplotlib.use("Agg")
+
+
+def simulate_ten_flips() -> int:
+    return sum(randint(0, 1) for _ in range(10))
+
+
+def flip_coin(num_trials: int = 10000) -> dict[int, float]:
+    results = {i: 0 for i in range(11)}
+
+    for _ in range(num_trials):
+        heads_count = simulate_ten_flips()
+        results[heads_count] += 1
+
+    for heads in results:
+        results[heads] = round((results[heads] / num_trials) * 100, 2)
+
+    return results
+
+
+def draw_gaussian_distribution_graph(data: dict[int, float]) -> None:
+    x_coords = list(data.keys())
+    y_coords = list(data.values())
+
+    plt.bar(x_coords, y_coords, color="blue", alpha=0.7, edgecolor="black")
+    plt.xlabel("Number of Heads")
+    plt.ylabel("Percentage")
+    plt.title("Distribution of Heads in 10 Coin Flips")
+    plt.xticks(range(11))
+    plt.grid(axis="y", linestyle="--", alpha=0.7)
+    plt.savefig("distribution_graph.png")
+
+
+if __name__ == "__main__":
+    results = flip_coin()
+    print(results)
+    draw_gaussian_distribution_graph(results)

requirements.txt

@@ -4,3 +4,5 @@ flake8-quotes==3.3.1
 flake8-variables-names==0.0.5
 pep8-naming==0.13.2
 pytest==7.1.3
+
+matplotlib~=3.10.0