import re
import numpy as np
import matplotlib.pyplot as plt
import sys
import itertools
import subprocess


data = [b for b in [re.split("\s+", i.strip('\n')) for i in open('40000_output.txt')] if len(b) > 1]
final_data = [[int(re.sub("\w+_", '', a)), int(b)] for a, b in data]


# VISUALIZATION

# Transpose the data to get the x and y values
labels, values = zip(*final_data)

# from the number of the length
indexes = np.arange(len(labels))
width = 1

plt.xlabel("Execution Attempt")
plt.ylabel("Time to Completion (Nanosecond)")

plt.bar(indexes, values, width)
plt.xticks(indexes + width * 0.5, labels)
plt.show()