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[action-translation] resync: house_auction.md (#114)
* 🔄 resync house_auction.md * Restore trailing newline (engine issue tracked in QuantEcon/action-translation#116) Co-Authored-By: Claude Fable 5 <noreply@anthropic.com> --------- Co-authored-by: Claude Fable 5 <noreply@anthropic.com>
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source-sha: d1bebc33e0d3ad33ab870f219e018c3123538b0f
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synced-at: "2026-07-18"
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model: claude-sonnet-5
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mode: RESYNC
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section-count: 12
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tool-version: 0.17.0

lectures/house_auction.md

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display_name: Python 3 (ipykernel)
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language: python
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name: python3
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translation:
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title: 多种商品分配机制
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headings:
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Overview: 概述
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Ascending Bids Auction for Multiple Goods: 多商品递增出价拍卖
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A Benevolent Planner: 仁慈的规划者
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Equivalence of Allocations: 分配的等价性
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Ascending Bid Auction: 递增出价拍卖
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Ascending Bid Auction::Basic Setting: 基本设置
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Pseudocode: 伪代码
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An Example: 示例
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An Example::round 1: 第一轮
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An Example::round 2: 第二轮
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An Example::round 3: 第三轮
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An Example::round 4: 第四轮
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An Example::round 5: 第5轮
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A Python Class: Python类
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Robustness Checks: 稳健性检验
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A Groves-Clarke Mechanism: Groves-Clarke 机制
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An Example Solved by Hand: 手工解决的示例
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Another Python Class: 另一个Python类
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Another Python Class::Elaborations: 详细说明
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Another Python Class::Social Cost: 社会成本
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# 多种商品分配机制
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tags: [hide-output]
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---
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!pip install prettytable
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!pip install "prettytable<3.18"
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```
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## 概述
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```
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```{code-cell} ipython3
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p,bid_info = submit_bid(失败者列表, p, ϵ, v, bid_info)
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p,bid_info = submit_bid(loser_list, p, ϵ, v, bid_info)
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```
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```{code-cell} ipython3
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print("\n买家2的社会成本:",
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np.sum(gc_mechanism_exc_2.Q*gc_mechanism_exc_2.V_orig)-np.sum(np.delete(gc_mechanism.Q*gc_mechanism.V_orig, 2, axis=1)))
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```
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