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[rand_resp.md] Update np.random → Generator API #891

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[rand_resp.md] Update np.random → Generator API #891

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10 changes: 5 additions & 5 deletions lectures/rand_resp.md
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Original file line number Diff line number Diff line change
Expand Up @@ -226,9 +226,9 @@ class Comparison:
A = self.A
n = self.n
df = self.template.copy()
np.random.seed(seed)
sample = np.random.rand(size, self.n) <= A
random_device = np.random.rand(size, n)
rng = np.random.default_rng(seed)
sample = rng.random((size, self.n)) <= A
random_device = rng.random((size, n))
mse_rd = {}
for p in self.p_arr:
spinner = random_device <= p
Expand All @@ -237,8 +237,8 @@ class Comparison:
pi_hat = (p - 1) / (2 * p - 1) + n1 / n / (2 * p - 1)
mse_rd[p] = np.sum((pi_hat - A)**2)
for inum, irow in df.iterrows():
truth_a = np.random.rand(size, self.n) <= irow.T_a
truth_b = np.random.rand(size, self.n) <= irow.T_b
truth_a = rng.random((size, self.n)) <= irow.T_a
truth_b = rng.random((size, self.n)) <= irow.T_b
trad_answer = sample * truth_a + (1 - sample) * (1 - truth_b)
pi_trad = trad_answer.sum(axis=1) / n
df.loc[inum, 'Bias'] = pi_trad.mean() - A
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