model=1 give an error #8
Description
I try to conduct experimential like wise in your paper. when i set input model =1 👍
Configuration like: Binterval=600 # Average time (in seconds)for creating a block in the blockchain
Bsize = 1.0 # The block size in MB
Bdelay =2 # average block propogation delay in seconds, #Ref: https://bitslog.wordpress.com/2016/04/28/uncle-mining-an-ethereum-consensus-protocol-flaw/
Breward = 12.5 # Reward for mining a block
''' Transaction Parameters '''
hasTrans = True # True/False to enable/disable transactions in the simulator
Ttechnique = "Light" # Full/Light to specify the way of modelling transactions
Tn = 10 # The rate of the number of transactions to be created per second
# The average transaction propagation delay in seconds (Only if Full technique is used)
Tdelay = 5.1
Tfee = 0.000062 # The average transaction fee
Tsize = 0.000546 # The average transaction size in MB
''' Node Parameters '''
Nn = 5 # the total number of nodes in the network
NODES = []
from Models.Bitcoin.Node import Node
# here as an example we define three nodes by assigning a unique id for each one + % of hash (computing) power
**NODES = [Node(id=0, hashPower=40), Node(
id=1, hashPower=30), Node(id=2, hashPower=15),Node(id=3, hashPower=10),Node(id=4, hashPower=5)]**
''' Simulation Parameters '''
simTime = 1000 # the simulation length (in seconds)
Runs = 10 # Number of simulation runs
I got error like these 👍
File "/home/quyet/PycharmProjects/BlockSim/BlockSim/Main.py", line 66, in main
Consensus.fork_resolution() # apply the longest chain to resolve the forks
File "/home/quyet/PycharmProjects/BlockSim/BlockSim/Models/Bitcoin/Consensus.py", line 43, in fork_resolution
z = np.bincount(c)
File "<array_function internals>", line 200, in bincount
TypeError: int() argument must be a string, a bytes-like object or a number, not 'NoneType'
Process finished with exit code 1
Still i get the results in excel file : like stale rate =0; number transaction :3, total transaction :5404; unexpected % mainblock decentralised ; I means same set up as in table 5 of your paper but can get expected results.
Last point
How do you calculate throughput when put model =0 or model=1; as i see no throughput has been put in excel output file