inline dup and most of drop, relative added to benchmarks, added first basic run (without any of the complex stuff implemented) of local type inference and use it to do word value equality if possible

koka_bench/relative.py

@@ -0,0 +1,14 @@
+#!/usr/bin/env python3
+import sys
+with open(sys.argv[1], "r") as f:
+    csv = [ [ v.strip() for v in l.split(',') ] for l in f.readlines() ]
+csv[0] = csv[0] + [ 'relative' ]
+min = min( float(r[1]) for r in csv[1:] )
+subset = csv[1:]
+for i in range(len(subset)):
+    subset[i] = subset[i] + [ float(subset[i][1]) / min ]
+csv[1:] = sorted(subset, key=lambda x: x[8])
+
+out = "\n".join(",".join(str(x) for x in r) for r in csv)
+with open(sys.argv[1] + "with_relative.csv", "w") as f:
+    f.write(out)