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🌐 [translation-sync] [two_auctions.md] Update np.random → Generator API #211

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🌐 [translation-sync] [two_auctions.md] Update np.random → Generator API #211

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3095eab
Update translation: lectures/two_auctions.md
mmcky Jul 28, 2026
e7c4f0b
Update translation: .translate/state/two_auctions.md.yml
mmcky Jul 28, 2026
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8 changes: 4 additions & 4 deletions .translate/state/two_auctions.md.yml
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Original file line number Diff line number Diff line change
@@ -1,6 +1,6 @@
source-sha: 6e967af4856b8164815524fe56c7df5ce59a6138
synced-at: "2026-07-18"
source-sha: 364f150b17587ab54aabb0445822640cbb4af0f2
synced-at: "2026-07-28"
model: claude-sonnet-5
mode: RESYNC
mode: UPDATE
section-count: 13
tool-version: 0.17.0
tool-version: 0.24.0
20 changes: 10 additions & 10 deletions lectures/two_auctions.md
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Expand Up @@ -4,7 +4,7 @@ jupytext:
extension: .md
format_name: myst
format_version: 0.13
jupytext_version: 1.10.3
jupytext_version: 1.17.1
kernelspec:
display_name: Python 3 (ipykernel)
language: python
Expand Down Expand Up @@ -216,7 +216,7 @@ plt.rcParams.update({'font.size': 14})
colors = plt.rcParams['axes.prop_cycle'].by_key()['color']

# ensure the notebook generates the same randomness
np.random.seed(1337)
rng = np.random.default_rng(1337)
```

我们重复进行一个有5个投标人的拍卖100,000次。
Expand All @@ -227,7 +227,7 @@ np.random.seed(1337)
N = 5
R = 100_000

v = np.random.uniform(0, 1, (N, R))
v = rng.uniform(0, 1, (N, R))

# BNE in first-price sealed bid

Expand Down Expand Up @@ -441,7 +441,7 @@ v_grid = np.linspace(0.3, 1, 8)
bid_analytical = b_star(v_grid, N)

# 重新抽取估值
v = np.random.uniform(0, 1, (N, R))
v = rng.uniform(0, 1, (N, R))
bid_simulated = [evaluate_largest(ii, v) for ii in v_grid]

fig, ax = plt.subplots(figsize=(6, 4))
Expand All @@ -463,8 +463,8 @@ sns.despine()
我们先通过以下Python代码来了解 $\chi^2$ 分布：

```{code-cell} ipython3
np.random.seed(1337)
v = np.random.chisquare(df=2, size=(N * R,))
rng = np.random.default_rng(1337)
v = rng.chisquare(df=2, size=(N * R,))

plt.hist(v, bins=50, edgecolor='w')
plt.xlabel('Values: $v$')
Expand All @@ -474,8 +474,8 @@ plt.show()
现在我们让Python构建一个出价函数

```{code-cell} ipython3
np.random.seed(1337)
v = np.random.chisquare(df=2, size=(N, R))
rng = np.random.default_rng(1337)
v = rng.chisquare(df=2, size=(N, R))

# 我们计算v的分位数作为我们的网格
pct_quantile = np.linspace(0, 100, 101)[1:-1]
Expand Down Expand Up @@ -673,8 +673,8 @@ class bid_price_solution:
```

```{code-cell} ipython3
np.random.seed(1337)
v = np.random.chisquare(df=2, size=(N, R))
rng = np.random.default_rng(1337)
v = rng.chisquare(df=2, size=(N, R))

chi_squ_case = bid_price_solution(v)
```
Expand Down
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