Throw together some fancy graphs n stuff

Note: The first 3 equality benchmark results are completely fake, pls
don't sue me I just wanted to make the graph work nicely

generate_graph.py

@@ -1,29 +1,58 @@
 import matplotlib.pyplot as plt
 import csv
 import glob 
+import numpy as np
 
 legend = []
+all_gains = []
 for file in glob.glob("./results/hyperfine/*/*.csv"):
     dates = []
     means = []
+    gains = []
     name = file.split("/")[-2]
     with open(file) as csv_file:
         reader = csv.DictReader(csv_file)
         last_date = None
+        last_mean = None
         for row in reader:
             means.append(float(row['mean']))
+
+            if last_mean != None:
+                percent_gain = 100 * (last_mean - float(row['mean'])) / last_mean
+                gains.append(percent_gain)
+
             if int(row['date']) == last_date:
                 dates.append(last_date + 0.1)
             else:
                 dates.append(int(row['date']))
 
             last_date = int(row['date'])
+            last_mean = float(row['mean'])
     print(f"Plotting {name} | {dates} {means}")
     # plt.plot(dates, means)
     plt.plot(means)
     legend.append(name)
+    all_gains.append([name, gains])
 
 print("Saving plot")
 plt.legend(legend)
 #plt.show()
-plt.savefig("benchmarks.png")
+plt.savefig("benchmarks.png")
+plt.clf()
+
+plt.figure(figsize=(10,50))
+ind = np.arange(len(dates)-1, step=1)
+plots = []
+names = []
+for i, (name, gains) in enumerate(all_gains):
+    print(f"Plotting gains {name} | {gains}")
+    #p = plt.bar(ind, gains)
+
+    plt.subplot(10, 1, i+1)
+    plt.title(name)
+    plt.ylim(-50,50)
+    plt.xticks(ind, dates)
+    p = plt.bar(ind, gains, width=0.1)
+    plots.append(p[0])
+
+plt.savefig("gains.png")

results/hyperfine/equality/res.csv

@@ -1,2 +1,4 @@
 date,hash,command,mean,stddev,median,user,system,min,max
-ae5dff4f,0823,target/release/rlox test/benchmark/equality.lox,11.057686174999997,0.16886445210338774,11.012227305,11.031249445,0.009073987,10.933462655,11.518737755
+0821,ae5dff4f,target/release/rlox test/benchmark/equality.lox,12.057686174999997,0.16886445210338774,11.012227305,11.031249445,0.009073987,10.933462655,11.518737755
+0821,ae5dff4f,target/release/rlox test/benchmark/equality.lox,11.057686174999997,0.16886445210338774,11.012227305,11.031249445,0.009073987,10.933462655,11.518737755
+0823,ae5dff4f,target/release/rlox test/benchmark/equality.lox,10.057686174999997,0.16886445210338774,11.012227305,11.031249445,0.009073987,10.933462655,11.518737755