Main2 et MaSi2 pour utilisation avec GUI. Tout cela passe par des dictionnaire
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#! /usr/bin/env python3
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import math
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import numpy as np
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import pandas as pd
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import copy
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class Populations:
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"""
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This class is made of a pd.Series of the clients and the operation that
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can be made on the population.
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"""
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def __init__(self, carac):
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"""
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Population constructor, initialises the client population with
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the caracterictic given to it.
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"""
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self.CONFIG_TOKEN = {"BTC":(1,0,0),"ETH":(0,1,0),"MGN":(0,0,1)\
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,"BTC/ETH":(1,1,0),"ETH/MGN":(0,1,1),"MGN/BTC":(1,0,1)\
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,"B/E/M":(1,1,1)}
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self.population = pd.Series()
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self.nmbr = copy.deepcopy(carac)
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for token in self.CONFIG_TOKEN:
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self.add_client(self.nmbr[token], self.CONFIG_TOKEN[token])
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"""
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We have to define more caracteristics. We will start with a
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simple serie of inds and their number
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"""
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return
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def add_client(self, nb,token_usage):#Need to add an arg "habits"
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"""
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Add 'nb' clients to the population.
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"""
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start = len(self.population)
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end = start + nb
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inds = []
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for i in range(nb):
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inds.append(Individu(token_usage))
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self.population = self.population.append(pd.Series(inds, index=range(start, end)))
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#self.nmbr += nb
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return
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class Individu: #tout OK
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"""
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This class define the clients, it's caracteristics being :
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- User habits :
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- The habits with the Magna Wallet and the 3 tokens :
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-self.magna_wallet_btc
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-self.magna_wallet_eth
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-self.magna_wallet_mgn
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They containe statisctical law of the user habits.
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The methods of this class operate on only one client.
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"""
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def __init__(self,token_usage):#OK
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"""
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Constructeur d'une instance 'individu'.
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Ce constructeur fait appel aux fonction especes et aleatoire
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pour initialisé les variables d'un individu aux valeurs propres
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à son espèce.
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"""
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# Those 3 caracteristic are the users habits concerning the client
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# use of Magna Wallet
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if token_usage[0] == 0:
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self.magna_wallet_btc = (0, 0)
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else:
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self.magna_wallet_btc = (
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np.random.normal(
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loc=0.00001, scale=0.002),
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abs(np.random.normal(
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loc=0.002, scale=0.01))
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)
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if token_usage[1] == 0:
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self.magna_wallet_eth = (0, 0)
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else :
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self.magna_wallet_eth = (
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np.random.normal(
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loc=0.01, scale=0.9),
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abs(np.random.normal(
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loc=0.5, scale=5))
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)
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if token_usage[2] == 0:
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self.magna_wallet_mgn = (0, 0)
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else:
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self.magna_wallet_mgn = (
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np.random.normal(
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loc=1, scale=10),
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abs(np.random.normal(
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loc=10, scale=50))
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)
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return
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class Transaction:
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"""
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This class keeps track of the transactions
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"""
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def __init__(self):
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self.btc=0
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self.eth=0
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self.mgn=0
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return
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def fees_btc(nbr_transaction_btc):
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"""
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Cette fonction calcule une version simplifié des frais de transaction
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"""
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# Dans un premier temps je vais prendre pour valeur pour valeur de transfere :
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# 20sat/byte
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# On simplifie aussi en considerant qu'on a 1 input et 1 output
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fees_btc = (nbr_transaction_btc*180 + 40 + nbr_transaction_btc)*20
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return fees_btc
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def fees_eth(nbr_transaction_eth):
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"""
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Cette fonction est destinee a calculer les frais de transaction en ETH
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La premiere approximation faire est de considerer toutes les transactions
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comme de simple transfere.
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On fixe donc la valeur d'un transfert simple 21 000 gas et 20Gwei/gas
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"""
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gwei_per_gas = 20
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gas = 21000*nbr_transaction_eth
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fees_eth = gas*20
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return fees_eth
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def fees_mgn(nbr_transaction_mgn):
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"""
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Cette fonction calcule le cout de transfère des tokens magna
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basés sur Stellar.
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There are two special values used to calculate fees:
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The base fee (currently 100 stroops) is used in transaction fees.
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The base reserve (currently 0.5 XLM) is used in minimum account balances.
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100 stroops (0.00001 XLM)
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"""
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fees_mgn = nbr_transaction_mgn*100
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return fees_mgn
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@ -0,0 +1,99 @@
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#! /usr/bin/env python3
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import math
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import numpy as np
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import pandas as pd
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import MagnaSim1 as MaSi
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from tkinter import *
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window = Tk()
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window.title("MaSi")
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#window.geometry('600x500')
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lbl_client_txt = ["BTC","ETH","MGN","BTC/ETH","ETH/MGN","MGN/BTC","B/E/M"]
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lbl_client = Label(window, text="Nbr clients:")
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lbl_client.grid(column=0, row=0)
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lbl_client_coord = {"BTC":(0,1),"ETH":(0,3),"MGN":(0,5),"BTC/ETH":(1,1),"ETH/MGN":(1,3),"MGN/BTC":(1,5),"B/E/M":(2,1)}
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txt_client_coord = {"BTC":(0,2),"ETH":(0,4),"MGN":(0,6),"BTC/ETH":(1,2),"ETH/MGN":(1,4),"MGN/BTC":(1,6),"B/E/M":(2,2)}
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lbl_client_token = {}
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txt_client_token = {}
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for token in lbl_client_txt:
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lbl_client_token[token] = Label(window, text=token)
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txt_client_token[token] = Entry(window, width=10)
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txt_client_token[token].insert(0,"0")
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lbl_client_token[token].grid(row=lbl_client_coord[token][0], column=lbl_client_coord[token][1])
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txt_client_token[token].grid(row=txt_client_coord[token][0], column=txt_client_coord[token][1])
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lbl_rates = Label(window, text="% Frais:")
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lbl_rates.grid(column=0, row=3)
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lbl_rates_coord = {"BTC":(3,1),"ETH":(3,3),"MGN":(3,5)}
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txt_rates_coord = {"BTC":(3,2),"ETH":(3,4),"MGN":(3,6)}
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lbl_rates = {}
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txt_rates = {}
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for token in lbl_client_txt[0:3]:
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lbl_rates[token] = Label(window, text=token)
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txt_rates[token] = Entry(window, width=10)
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txt_rates[token].insert(0,"0")
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lbl_rates[token].grid(row=lbl_rates_coord[token][0], column=lbl_rates_coord[token][1])
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txt_rates[token].grid(row=txt_rates_coord[token][0], column=txt_rates_coord[token][1])
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def clicked():
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# First we get the number of clients
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# in each category
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nbr_client = {}
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for token in lbl_client_txt:
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nbr_client[token] = int(txt_client_token[token].get())
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if nbr_client[token] == None:#To avoid erors
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nbr_client[token] = 0
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# Then we get the rates for each token
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rates_fee = {}
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for token in lbl_client_txt[0:3]:
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rates_fee[token] = float(txt_rates[token].get())
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# We print the total of clients
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lbl_SUM.configure(text=sum(nbr_client.values()))
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print(sum(nbr_client.values()))
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# We create a population
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pop = MaSi.Populations(nbr_client)
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# We create the list of transaction
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trans = MaSi.Transaction()
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trans_value = {"BTC":0,"ETH":0,"MGN":0}
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trans_fees = {"BTC":0,"ETH":0,"MGN":0}
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for i in pop.population:
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x = abs(np.random.normal(i.magna_wallet_btc[0],i.magna_wallet_btc[1]))
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if x != 0:
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trans.btc += 1
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trans_value["BTC"] += x
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trans_fees["BTC"] += x*rates_fee[token]
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y = abs(np.random.normal(i.magna_wallet_eth[0],i.magna_wallet_eth[1]))
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if y != 0:
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trans.eth += 1
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trans_value["ETH"] += y
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trans_fees["ETH"] += y*rates_fee["ETH"]
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z = abs(np.random.normal(i.magna_wallet_mgn[0],i.magna_wallet_mgn[1]))
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if z != 0:
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trans.mgn += 1
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trans_value["MGN"] += z
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trans_fees["MGN"] += z*rates_fee["MGN"]
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# print("Nombre de BTC : {:f}".format(MaSi.fees_btc(trans.btc)*0.0000001))
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print("Pour le BTC:\nLes transfères du aux frais coûtent :{:f} satoshi\n".format(MaSi.fees_btc(trans.btc)))
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print("Pour le ETH:\nLes transfères du aux frais coûtent :{:f} Gwei\n".format(MaSi.fees_eth(trans.eth)))
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print("Pour le MGN:\nLes transfères du aux frais coûtent :{:f} stroops\n".format(MaSi.fees_mgn(trans.mgn)))
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print("frais :", trans_fees)
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print("total mouvement:", trans_value)
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btn = Button(window, text="Launch", command=clicked)
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lbl_SUM0 = Label(window, text="clients :")
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lbl_SUM0.grid(column=7, row=21)
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lbl_SUM = Label(window, text="0")
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lbl_SUM.grid(column=8, row=21)
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btn.grid(column=8, row=20)
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txt_client_token["BTC"].focus()
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window.mainloop()
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