Add experimental stuff

- add ecdf module
- add expe module
- add func module
- use Dump wrapper around obj. func. instead of iters.
- add random solvers in snp options.
- add no-plot option in snp.

expe.py

@@ -0,0 +1,46 @@
+
+if __name__ == "__main__":
+    import os
+    import subprocess
+
+    # can = argparse.ArgumentParser()
+    #
+    # can.add_argument("-n", "--nb-sensors", metavar="NB", default=3, type=int,
+    #         help="Number of sensors")
+    #
+    # can.add_argument("-r", "--sensor-range", metavar="RATIO", default=0.3, type=float,
+    #         help="Sensors' range (as a fraction of domain width)")
+    #
+    # can.add_argument("-w", "--domain-width", metavar="NB", default=30, type=int,
+    #         help="Domain width (a number of cells)")
+    #
+    # can.add_argument("-i", "--iters", metavar="NB", default=100, type=int,
+    #         help="Maximum number of iterations")
+    #
+    # the = can.parse_args()
+
+    const_args=" --nb-sensors 5 --sensor-range 0.2 --domain-width 50 --iters 10000"
+    solvers = ["num_greedy","bit_greedy","num_rand","bit_rand"]
+    nbruns = 100
+    outdir = "results"
+
+    if not os.path.exists(outdir):
+        os.mkdir(outdir)
+
+    for seed in range(nbruns):
+        procs = []
+        for solver in solvers:
+            print(seed,solver)
+            p = subprocess.Popen(
+                    "python3 snp.py "
+                    + const_args
+                    + " --no-plot --dir {} --seed {} --solver {}"
+                    .format(outdir,seed,solver),
+                    shell=True
+                )
+            procs.append(p)
+
+        for proc in procs:
+            proc.wait()
+
+