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jwinterm
2024-05-04 16:26:59 -04:00
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# Byte-compiled / optimized / DLL files
__pycache__/
*.py[cod]
*$py.class
**/__pycache__/
# C extensions
*.so
# Distribution / packaging
.Python
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# PyInstaller
# Usually these files are written by a python script from a template
# before PyInstaller builds the exe, so as to inject date/other infos into it.
*.manifest
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# Translations
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# Blockchain Analysis Emission
This folder contains the following four class files and a script:
## Class Files
1. `blockchain.py`: This class file is a generic class.
2. `bitcoin.py`: This class file implements calculated and historical Bitcoin blockchain data.
3. `monero.py`: This class file contains calculated blockchain data.
4. `wownero.py`: This class file includes calculated blockchain data.
## Script
`btcxmrwowemission.py`: This script is responsible for instancing the classes and plotting some data.
The data is date-shifted and normalized in this script.
## License
This project is licensed under the public domain.
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import blockchain
import numpy as np
class Bitcoin(blockchain.Blockchain):
def __init__(self, number_of_blocks=7e6, block_skip=10):
super().__init__(number_of_blocks, block_skip)
# First generate fully calculated date and reward data
self.blocks = np.arange(0, self.number_of_blocks, self.block_skip)
self.launch_time = 1231006505
self.time = self.blocks*600*self.block_skip + self.launch_time
self.date = np.array(self.time, dtype='datetime64[s]')
self.reward = np.zeros(len(self.blocks))
self.cum_reward = np.zeros(len(self.blocks))
for i in range(len(self.blocks)):
self.reward[i] = ((np.uint(50e8)//2**((i*self.block_skip)//210000))*1e-8) * self.block_skip
self.cum_reward[i] += self.reward[i]
# Historical data for bitcoin emission
self.date_historical = [np.datetime64('2009-01-03'), np.datetime64('2012-11-28'), np.datetime64('2016-07-09'), np.datetime64('2024-04-20')]
for i in range(30):
next_date = self.date_historical[-1] + np.timedelta64(1461, 'D')
self.date_historical.append(next_date)
self.reward_historical = np.zeros(len(self.date_historical))
self.cum_reward_historical = np.zeros(len(self.date_historical))
for i in range(len(self.date_historical)):
self.reward_historical[i] = 210000*(np.uint(50e8)//2**i)*1e-8
if i < len(self.date_historical)-1:
self.cum_reward_historical[i+1] = self.cum_reward_historical[i] + self.reward_historical[i]
print(i, self.date_historical[i], self.reward_historical[i], self.cum_reward_historical[i])
print(self.date_historical, self.cum_reward_historical)
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import numpy as np
class Blockchain:
'''Contains time and reward information for a blockchain'''
def __init__(self, number_of_blocks=7e6, block_skip=10):
self.number_of_blocks = int(number_of_blocks) # Number of blocks to calculate
self.block_skip = int(block_skip) # Number of blocks to skip to save time
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import matplotlib.pyplot as plt
import numpy as np
import datetime as dt
# Importing the classes
import bitcoin
import monero
import wownero
# Instance classes with specified number of blocks and block skip
btc = bitcoin.Bitcoin(7e6, 10)
xmr = monero.Monero(40e6, 100)
wow = wownero.Wownero(15e6, 100)
# Adjusting the date to start at the same time
xmr.date = xmr.date - (xmr.date[0] - btc.date_historical[0])
wow.date = wow.date - (wow.date[0] - btc.date_historical[0])
# Normalizing the data by the total number of coins (or 18.132e6 for Monero)
btc.cum_reward_historical = btc.cum_reward_historical / btc.cum_reward_historical[-1]
xmr.cum_reward = xmr.cum_reward / 18.132e6
wow.cum_reward = wow.cum_reward / wow.cum_reward[-1]
# Plotting the data
plt.plot(btc.date_historical, btc.cum_reward_historical, '-', color='orange', label='Bitcoin')
plt.plot(xmr.date, xmr.cum_reward, '--', color='grey', label='Monero')
plt.plot(wow.date, wow.cum_reward, '-.', color='pink', label='Wownero')
# Adding labels, grid, legend, etc
plt.xlabel('Time (years)')
plt.ylabel('% total coins emitted (pre-tail emission)')
plt.grid()
plt.legend()
# Displaying the plot
plt.show()
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import blockchain
import numpy as np
class Monero(blockchain.Blockchain):
def __init__(self, number_of_blocks=3e7, block_skip=100):
super().__init__(number_of_blocks, block_skip)
# First generate fully calculated date and reward data
self.already_generated_coins = 0
self.blocks = np.arange(0, self.number_of_blocks, self.block_skip)
self.launch_time = 1397793600
self.time = np.zeros(len(self.blocks))
self.time[0] = self.launch_time
self.reward = np.zeros(len(self.blocks))
self.cum_reward = np.zeros(len(self.blocks))
self.XMR_DIFFICULTY_TARGET_V2 = 120
self.XMR_DIFFICULTY_TARGET_V1 = 60
self.MONEY_SUPPLY = 2**64 - 1
self.XMR_EMISSION_SPEED_FACTOR_PER_MINUTE = 20
self.XMR_FINAL_SUBSIDY_PER_MINUTE = 0.3e12
self.v2_START = 1009827
for i in range(len(self.blocks)):
if self.blocks[i] < self.v2_START:
target = self.XMR_DIFFICULTY_TARGET_V1
target_minutes = target / 60
emission_speed_factor = self.XMR_EMISSION_SPEED_FACTOR_PER_MINUTE - (target_minutes - 1)
else:
target = self.XMR_DIFFICULTY_TARGET_V2
target_minutes = target / 60
emission_speed_factor = self.XMR_EMISSION_SPEED_FACTOR_PER_MINUTE - (target_minutes - 1)
reward = (self.MONEY_SUPPLY - int(self.already_generated_coins)) >> int(emission_speed_factor)
if reward < self.XMR_FINAL_SUBSIDY_PER_MINUTE * target_minutes:
reward = self.XMR_FINAL_SUBSIDY_PER_MINUTE * target_minutes
self.already_generated_coins += reward * self.block_skip
self.reward[i] = reward*1e-12 * self.block_skip
self.cum_reward[i] = self.already_generated_coins*1e-12
if i > 0:
self.time[i] = self.time[i-1] + target_minutes*60 * self.block_skip
self.date = np.array(self.time, dtype='datetime64[s]')
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import blockchain
import numpy as np
class Wownero(blockchain.Blockchain):
def __init__(self, number_of_blocks=15e6, block_skip=100):
super().__init__(number_of_blocks, block_skip)
# First generate fully calculated date and reward data
self.already_generated_coins = 0
self.blocks = np.arange(0, self.number_of_blocks, self.block_skip)
self.launch_time = 1524223213
self.time = np.zeros(len(self.blocks))
self.time[0] = self.launch_time
self.reward = np.zeros(len(self.blocks))
self.cum_reward = np.zeros(len(self.blocks))
self.WOW_DIFFICULTY_TARGET = 300
self.MONEY_SUPPLY = 2**64 - 1
self.WOW_EMISSION_SPEED_FACTOR_PER_MINUTE = 24
self.WOW_FINAL_SUBSIDY_PER_MINUTE = 0
for i in range(len(self.blocks)):
target = self.WOW_DIFFICULTY_TARGET
target_minutes = target / 60
emission_speed_factor = self.WOW_EMISSION_SPEED_FACTOR_PER_MINUTE - (target_minutes - 1)
reward = (self.MONEY_SUPPLY - int(self.already_generated_coins)) >> int(emission_speed_factor)
if reward <= self.WOW_FINAL_SUBSIDY_PER_MINUTE * target_minutes:
reward = self.WOW_FINAL_SUBSIDY_PER_MINUTE * target_minutes
self.already_generated_coins += reward * self.block_skip
self.reward[i] = reward*1e-11 * self.block_skip
self.cum_reward[i] = self.already_generated_coins*1e-12
if i > 0:
self.time[i] = self.time[i-1] + target_minutes*60 * self.block_skip
self.date = np.array(self.time, dtype='datetime64[s]')