Revised function get_balances_over_time
Should be more flexible. Callee can use all parameters.
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scuti
parent
637aaf5aec
commit
e3c68947c5
93
econ-demo.py
93
econ-demo.py
@ -59,27 +59,17 @@ def mining(balances, halving_frequency=1, reward=10, terms=3):
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current_balances = new_bal
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return balances_over_time
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def get_balances_over_time(names, balances, func, terms=4, param=0):
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if func is None:
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print("Need a function!")
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return
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def get_balances_over_time(names, balances, data):
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if len(names) != len(balances):
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print("Every person needs a balance.")
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return
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data = {
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df = pd.DataFrame({
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'name' : names,
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'initial' : balances
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}
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df = pd.DataFrame(data)
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frame_data = []
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if param == 0:
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frame_data = func(balances, terms=terms)
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else:
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frame_data = func(balances, terms=terms, rate=param)
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assert(len(frame_data) == terms)
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for i in range(0, terms):
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key = str(i)
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df[key] = frame_data[i]
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})
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for i in range(0, len(data)):
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key = str(i+1)
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df[key] = data[i]
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return df
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# -------------
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@ -97,7 +87,7 @@ def illustrate_share_of_wealth():
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print("\n")
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df = get_balances_over_time (
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participants, balances, compounding_interest
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participants, balances, compounding_interest(balances)
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)
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# print(it)
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df["share"] = [val * 100 for val in calc_share_of_wealth(df["3"]) ]
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@ -112,7 +102,7 @@ def illustrate_share_of_wealth():
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print("\n")
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df = get_balances_over_time (
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participants, balances, ubi
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participants, balances, ubi(balances)
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)
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print(df.to_html())
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@ -131,8 +121,7 @@ def visualize_ubi(terms=25):
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balances = [100,40,20]
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df = get_balances_over_time (
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participants, balances, ubi,
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terms = terms
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participants, balances, ubi(balances, terms=terms)
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)
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# print(df.keys)
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shares = []
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@ -143,9 +132,12 @@ def visualize_ubi(terms=25):
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continue
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shares.append(calc_share_of_wealth(data))
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sow = pd.DataFrame(shares)
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# print(sow.keys())
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x = [i for i in range(1,terms)]
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assert(len(x) == len(shares))
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x = [i for i in range(0,terms)]
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try:
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assert(len(x) == len(shares))
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except AssertionError:
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print(len(x), len(shares))
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exit()
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plt.style.use('dark_background')
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plt.plot(
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@ -183,19 +175,23 @@ def draw_specific_chart1(terms=50, linear_label="? (linear)"):
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balances = [100,40,20]
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df = get_balances_over_time (
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participants, balances, ubi,
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terms = terms
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participants, balances, ubi(balances, terms=terms)
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)
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total_supply_ubi = calc_total_supply(df)
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df_si = get_balances_over_time (
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participants, balances, compounding_interest,
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terms = terms
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participants, balances,
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compounding_interest(balances, terms=terms)
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)
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total_supply_si = calc_total_supply(df_si)
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# + 1 because the initial frame is included this time
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x = [i for i in range(1,terms+1)]
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assert(len(x) == len(total_supply_si))
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x = [i for i in range(0,terms+1)]
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try:
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assert(len(x) == len(total_supply_si))
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except AssertionError:
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print(len(x), len(total_supply_si))
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print(df_si)
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exit()
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plt.style.use('dark_background')
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plt.plot(
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@ -206,9 +202,7 @@ def draw_specific_chart1(terms=50, linear_label="? (linear)"):
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calc_total_supply(get_balances_over_time(
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participants,
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balances,
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compounding_interest,
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terms=terms,
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param=0.04
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compounding_interest(balances, terms=terms, rate=0.04)
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)),
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color="orange", label="apy = 0.04"
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)
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@ -217,9 +211,7 @@ def draw_specific_chart1(terms=50, linear_label="? (linear)"):
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calc_total_supply(get_balances_over_time(
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participants,
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balances,
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compounding_interest,
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terms=terms,
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param=0.03
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compounding_interest(balances, terms=terms, rate=0.03)
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)),
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color="yellow", label="apy = 0.03"
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)
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@ -236,18 +228,17 @@ def draw_specific_chart2(terms=50):
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balances = [100,40,20]
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df = get_balances_over_time (
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participants, balances, ubi,
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terms = terms
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participants, balances, ubi(balances, terms=terms)
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)
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total_supply_ubi = calc_total_supply(df)
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df_si = get_balances_over_time (
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participants, balances, compounding_interest,
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terms = terms
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participants, balances,
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compounding_interest(balances, terms=terms)
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)
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total_supply_si = calc_total_supply(df_si)
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# + 1 because the initial frame is included this time
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x = [i for i in range(1,terms+1)]
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x = [i for i in range(0,terms+1)]
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assert(len(x) == len(total_supply_si))
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plt.style.use('dark_background')
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@ -259,9 +250,7 @@ def draw_specific_chart2(terms=50):
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calc_total_supply(get_balances_over_time(
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participants,
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balances,
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ubi,
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terms=terms,
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param=5
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ubi(balances, rate=5, terms=terms)
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)),
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color="violet", label="dividend = 5"
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)
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@ -270,9 +259,7 @@ def draw_specific_chart2(terms=50):
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calc_total_supply(get_balances_over_time(
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participants,
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balances,
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ubi,
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terms=terms,
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param=15
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ubi(balances, rate=15, terms=terms)
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)),
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color="lightgreen", label="dividend = 15"
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)
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@ -284,9 +271,7 @@ def draw_specific_chart2(terms=50):
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calc_total_supply(get_balances_over_time(
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participants,
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balances,
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compounding_interest,
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terms=terms,
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param=0.04
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compounding_interest(balances, rate=0.04, terms=terms)
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)),
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color="orange", label="apy = 0.04"
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)
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@ -295,9 +280,7 @@ def draw_specific_chart2(terms=50):
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calc_total_supply(get_balances_over_time(
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participants,
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balances,
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compounding_interest,
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terms=terms,
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param=0.03
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compounding_interest(balances, rate=0.03, terms=terms),
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)),
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color="yellow", label="apy = 0.03"
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)
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@ -319,7 +302,6 @@ def visualize_inflation(df, title="Inflation", filename="inflation.png"):
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plt.plot(
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x, supply_over_time, color="red")
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plt.title(title)
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plt.legend()
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plt.xlabel("Terms")
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plt.ylabel("Total Currency")
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plt.savefig(filename)
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@ -373,7 +355,10 @@ if __name__ == "__main__":
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participants = ["Alice", "Bob", "Charlie"]
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balances = [100,40,20]
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m = get_balances_over_time(participants, balances, mining, terms=10)
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m = get_balances_over_time(
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participants, balances,
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mining(balances, halving_frequency=1, terms=10)
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)
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print(m)
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print(m.shape[1])
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visualize_inflation(m, title="Inflation Given block_reward = 10 and Halving Every Term", filename="inflation-pow.png")
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