change config language to simple (or complex) code

Signed-off-by: Csaba Kiraly <csaba.kiraly@gmail.com>

config_example.py

@@ -0,0 +1,53 @@
+"""Example configuration file
+
+This file illustrates how to define options and simulation parameter ranges.
+It also defines the traversal order of the simulation space. As the file
+extension suggests, configuration is pure python code, allowing complex
+setups. Use at your own risk.
+
+To use this example, run
+   python3 study.py config_example
+
+Otherwise copy it and modify as needed. The default traversal order defined
+in the nested loop of nextShape() is good for most cases, but customizable
+if needed.
+"""
+
+import logging
+from DAS.shape import Shape
+
+dumpXML = 1
+visualization = 1
+logLevel = logging.INFO
+
+# Number of simulation runs with the same parameters for statistical relevance
+runs = range(10)
+
+# Number of validators
+numberValidators = range(256, 513, 128)
+
+# Percentage of block not released by producer
+failureRates = range(10, 91, 40)
+
+# Block size in one dimension in segments. Block is blockSizes * blockSizes segments.
+blockSizes = range(32,65,16)
+
+# Per-topic mesh neighborhood size
+netDegrees = range(6, 9, 2)
+
+# number of rows and columns a validator is interested in
+chis = range(4, 9, 2)
+
+deterministic = False
+
+def nextShape():
+    for run in runs:
+        for fr in failureRates:
+            for chi in chis:
+                for blockSize in blockSizes:
+                    for nv in numberValidators:
+                        for netDegree in netDegrees:
+                            # Network Degree has to be an even number
+                            if netDegree % 2 == 0:
+                                shape = Shape(blockSize, nv, fr, chi, netDegree, run)
+                                yield shape

study.py

@@ -1,6 +1,7 @@
 #! /bin/python3
 
 import time, sys, random, copy
+import importlib
 from DAS import *
 
 
@@ -9,7 +10,7 @@ def study():
         print("You need to pass a configuration file in parameter")
         exit(1)
 
-    config = Configuration(sys.argv[1])
+    config = importlib.import_module(sys.argv[1])
     shape = Shape(0, 0, 0, 0, 0, 0)
     sim = Simulator(shape, config)
     sim.initLogger()
@@ -22,26 +23,17 @@ def study():
     sim.logger.info("Starting simulations:", extra=sim.format)
     start = time.time()
 
-    for run in range(config.numberRuns):
+    for shape in config.nextShape():
-        for nv in range(config.nvStart, config.nvStop+1, config.nvStep):
+        if not config.deterministic:
-            for blockSize in range(config.blockSizeStart, config.blockSizeStop+1, config.blockSizeStep):
+            random.seed(datetime.now())
-                for fr in range(config.failureRateStart, config.failureRateStop+1, config.failureRateStep):
-                    for netDegree in range(config.netDegreeStart, config.netDegreeStop+1, config.netDegreeStep):
-                        for chi in range(config.chiStart, config.chiStop+1, config.chiStep):
 
-                            if not config.deterministic:
+        sim.resetShape(shape)
-                                random.seed(datetime.now())
+        sim.initValidators()
-
+        sim.initNetwork()
-                            # Network Degree has to be an even number
+        result = sim.run()
-                            if netDegree % 2 == 0:
+        sim.logger.info("Shape: %s ... Block Available: %d in %d steps" % (str(sim.shape.__dict__), result.blockAvailable, len(result.missingVector)), extra=sim.format)
-                                shape = Shape(blockSize, nv, fr, chi, netDegree, run)
+        results.append(copy.deepcopy(result))
-                                sim.resetShape(shape)
+        simCnt += 1
-                                sim.initValidators()
-                                sim.initNetwork()
-                                result = sim.run()
-                                sim.logger.info("Shape: %s ... Block Available: %d in %d steps" % (str(sim.shape.__dict__), result.blockAvailable, len(result.missingVector)), extra=sim.format)
-                                results.append(copy.deepcopy(result))
-                                simCnt += 1
 
     end = time.time()
     sim.logger.info("A total of %d simulations ran in %d seconds" % (simCnt, end-start), extra=sim.format)