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