Adding report.pdf and plotting scripts

plot.py

+import numpy as np
+import matplotlib.pyplot as plt
+infrequent = np.array([138.27,144.93,138.27,131.33,131.91])
+frequent = np.array([161.77,174.31,111.53,111.58,110.99])
+regex = np.array([205,195,192,190,195])
+
+# Calculate the average
+infrequent_mean = np.mean(infrequent)
+frequent_mean = np.mean(frequent)
+regex_mean = np.mean(regex)
+
+# Calculate the standard deviation
+infrequent_std = np.std(infrequent)
+frequent_std = np.std(frequent)
+regex_std = np.std(regex)
+
+# Create lists for the plot
+labels = ['Infrequent("cupiditate")', 'Frequent ("distributed")', 'Regex ("dist.*")']
+x_pos = np.arange(len(labels))
+CTEs = [infrequent_mean, frequent_mean, regex_mean]
+error = [infrequent_std, infrequent_std, regex_std]
+
+# Build the plot
+fig, ax = plt.subplots()
+ax.bar(x_pos, CTEs, yerr=error, align='center', alpha=0.5, ecolor='black', capsize=10)
+ax.set_ylabel('Time (ms)')
+ax.set_xticks(x_pos)
+ax.set_xticklabels(labels)
+ax.set_title('End to end Latency of distributed grep')
+ax.yaxis.grid(True)
+
+# Save the figure and show
+plt.tight_layout()
+plt.savefig('bar_plot_with_error_bars.png')
+plt.show()
\ No newline at end of file