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BIP-0119: Use the same random seed across simulation runs; fix issue where a poisson was used in place of an exponential

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This commit is contained in:
Jeremy Rubin 2020-04-08 12:43:42 -07:00
parent bef6dc91c4
commit 58d1b1994c
1 changed files with 3 additions and 1 deletions
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bip-0119/simulation.py
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@ -24,6 +24,7 @@ def get_rate(phase):
return 1.25**(phase)*TXNS_PER_SEC
def normal():
np.random.seed(0)
print("Max Txns Per Sec %f"%TXNS_PER_SEC)
backlog = 0
results_unconfirmed = [0]*SAMPLES
@ -43,6 +44,7 @@ def normal():
results_unconfirmed[i] = backlog/AVG_TX
return results_unconfirmed, np.cumsum(total_time)/(60*60*24.0)
def compressed(rate_multiplier = 1):
np.random.seed(0)
print("Max Txns Per Sec %f"%TXNS_PER_SEC)
backlog = 0
secondary_backlog = 0
@ -54,7 +56,7 @@ def compressed(rate_multiplier = 1):
total_time = [0]*(SAMPLES)
for phase in range(PHASES):
for i in range(PHASE_LENGTH*phase, PHASE_LENGTH*(1+phase)):
block_time = np.random.poisson(AVG_INTERVAL)
block_time = np.random.exponential(AVG_INTERVAL)
total_time[i] = block_time
txns = np.random.poisson(rate_multiplier*get_rate(phase)*block_time)
postponed = txns * COMPRESSABLE