Separate Config file for subnetDAS

subnetDASConf.py

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+"""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
+import itertools
+import numpy as np
+from DAS.shape import Shape
+
+# Dump results into XML files
+dumpXML = 1
+
+# save progress and row/column distribution vectors to XML
+saveProgress = 1
+
+# plot progress for each run to PNG
+plotProgress = 1
+
+# Save row and column distributions
+saveRCdist = 1
+
+# Plot all figures
+visualization = 1
+
+# Verbosity level
+logLevel = logging.INFO
+
+# number of parallel workers. -1: all cores; 1: sequential
+# for more details, see joblib.Parallel
+numJobs = -1
+
+# distribute rows/columns evenly between validators (True)
+# or generate it using local randomness (False)
+evenLineDistribution = False
+
+# Number of simulation runs with the same parameters for statistical relevance
+runs = [0]
+
+# Number of validators
+numberNodes = [50000]
+
+# select failure model between: "random, sequential, MEP, MEP+1, DEP, DEP+1, MREP, MREP-1"
+failureModels = ["random"]
+
+# Percentage of block not released by producer
+failureRates = range(40, 81, 20)
+failureRates = [0]
+
+# Block size in one dimension in segments. Block is blockSizes * blockSizes segments.
+blockSizes = range(64, 113, 128)
+
+# Per-topic mesh neighborhood size
+netDegrees = range(8, 9, 2)
+
+# number of rows and columns a validator is interested in
+chis = range(2, 3, 2)
+
+# ratio of class1 nodes (see below for parameters per class)
+class1ratios = [0.8]
+
+# Number of validators per beacon node
+validatorsPerNode1 = [1]
+validatorsPerNode2 = [8]
+
+# Set uplink bandwidth in megabits/second
+bwUplinksProd = [150]
+bwUplinks1 = [15]
+bwUplinks2 = [150]
+
+# Step duration in miliseconds (Classic RTT is about 100ms)
+stepDuration = 50
+
+# Segment size in bytes (with proof)
+segmentSize = 560
+
+# Set to True if you want your run to be deterministic, False if not
+deterministic = True
+
+# If your run is deterministic you can decide the random seed. This is ignore otherwise.
+randomSeed = "DAS"
+
+# Number of steps without progress to stop simulation
+steps4StopCondition = 7
+
+# Number of validators ready to asume block is available
+successCondition = 0.9
+
+# If True, print diagnostics when the block is not available
+diagnostics = False
+
+# True to save git diff and git commit
+saveGit = False
+
+def nextShape():
+    for run, fm, fr, class1ratio, vpn1, vpn2, nn, netDegree, bwUplinkProd, bwUplink1, bwUplink2 in itertools.product(
+        runs, failureModels, failureRates, class1ratios, validatorsPerNode1, validatorsPerNode2, numberNodes, netDegrees, bwUplinksProd, bwUplinks1, bwUplinks2):
+        # Network Degree has to be an even number
+        if netDegree % 2 == 0:
+            blockSizeR = 128
+            blockSizeC = blockSizeRK = blockSizeCK = 64
+            chiR = 0
+            chiC = 4
+            shape = Shape(blockSizeR, blockSizeRK, blockSizeC, blockSizeCK, nn, fm, fr, class1ratio, chiR, chiC, vpn1, vpn2, netDegree, bwUplinkProd, bwUplink1, bwUplink2, run)
+            yield shape