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[samuelson.md] Update np.random → Generator API #1002

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[samuelson.md] Update np.random → Generator API #1002

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11 changes: 6 additions & 5 deletions lectures/samuelson.md
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Original file line number Diff line number Diff line change
Expand Up @@ -606,8 +606,8 @@ def simulate_samuelson(

# Generate shocks if stochastic
if σ > 0:
np.random.seed(seed)
ϵ = np.random.normal(0, 1, n)
rng = np.random.default_rng(seed)
ϵ = rng.normal(0, 1, n)

# Simulate forward
for t in range(2, n):
Expand Down Expand Up @@ -1190,7 +1190,8 @@ C[1] = σ # Shock variance

sam_t = LinearStateSpace(A, C, G, mu_0=μ_0)

x, y = sam_t.simulate(ts_length=n)
rng = np.random.default_rng()
x, y = sam_t.simulate(ts_length=n, random_state=rng)

fig, axes = plt.subplots(3, 1, sharex=True, figsize=(12, 8))
titles = ["Output ($Y_t$)", "Consumption ($C_t$)", "Investment ($I_t$)"]
Expand Down Expand Up @@ -1303,8 +1304,8 @@ class SamuelsonLSS(LinearStateSpace):
except ValueError:
print("Stationary distribution does not exist")

np.random.seed(seed)
x, y = self.simulate(ts_length)
rng = np.random.default_rng(seed)
x, y = self.simulate(ts_length, random_state=rng)

fig, axes = plt.subplots(3, 1, sharex=True, figsize=(12, 8))
titles = ["Output ($Y_t$)",
Expand Down
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