fix

lab06/\

@@ -1,30 +0,0 @@
-import json
-import math
-import matplotlib.pyplot as plt
-import pandas
-
-# Path to the benchmark results JSON
-plot_single = "./results/really_single_monte.csv"
-plot_multi = "./results/multi_monte.csv"
-
-
-data_single = pandas.read_csv(plot_single)
-data_multi = pandas.read_csv(plot_multi)
-
-
-def calculate_error(pi: float) -> float:
-    return abs(math.pi - pi)
-
-
-data_single["error"] = data_single.apply(lambda x: calculate_error(x["pi"]), axis=1)
-data_multi["error"] = data_multi.apply(lambda x: calculate_error(x["pi"]), axis=1)
-
-plt.figure(figsize=(8, 5))
-plt.plot(data_multi["error"], color="red", label="multi", linewidth=0.1)
-plt.plot(data_single["error"], color="blue", label="single", linewidth=0.1)
-plt.xlabel("time")
-plt.ylabel("error")
-plt.title("pin Monte Carlo Benchmark")
-plt.grid(True)
-plt.tight_layout()
-plt.savefig("mein_plot.png")