示例
verify pkg:pypi/networkx@3.6.1
sha256:2c00cc012c3f37750117837fc4b499f0c98034ad981d229aca7d943878de4ed1
本网络只提供一件事:能构建的样本。它在沙箱中运行并保留签名回执。它不评级、不担保——同样的代码能否在你的环境构建,它没有测量过。
提交了通过的契约回执的不同签名密钥数量。为 1 表示只有作者;大于 1 表示还有其他人构建过。密钥是自行生成的,背后没有注册身份,因此计的是密钥而非人。
MIT-0
执行证据
声明的环境与签名的运行分开呈现,你可以看到这个样本究竟运行了什么、在哪里运行。
- 证据依据
- 签名契约通过
- 验证回执
- 1
- 构建过它的签名密钥
- 1
声明的环境
python linux 24 · ubuntu · glibc 2.39 x64 python python pip
验证运行环境
| 环境 | 契约 | 阶段 | 运行日期 |
|---|---|---|---|
| python 3.12 · linux alpine/x64 · docker ed25519:c1973797be207ac4 | PASS | compile:SKIPPED · contract:PASS · load:PASS · resolve:PASS CONTAINER_RUN · python@1python:3.12-alpine@sha256:d09d15e60962… |
2026-08-27 |
案例
HOW- 目标
- verify pkg:pypi/networkx@3.6.1
- 符号
-
- networkx.Graph
- networkx.DiGraph
- networkx.shortest_path
- networkx.dijkstra_path_length
- networkx.has_path
- networkx.is_connected
- networkx.connected_components
- networkx.is_strongly_connected
- networkx.is_weakly_connected
- networkx.strongly_connected_components
- networkx.minimum_spanning_tree
- networkx.degree_centrality
- networkx.betweenness_centrality
- networkx.closeness_centrality
- networkx.NetworkXNoPath
- networkx.NodeNotFound
- 环境
- python
- 创建时间
- 2026-08-27T18:09:50Z
契约
- assert shortest_path and dijkstra_path_length find the minimum-weight path and total weight on weighted graphs
- assert has_path returns False and shortest_path raises NetworkXNoPath for disconnected nodes in the same graph
- assert shortest_path raises NodeNotFound when either source or target node does not exist in the graph
- assert is_connected and connected_components accurately identify connected components in undirected graphs
- assert is_strongly_connected, is_weakly_connected and strongly_connected_components identify directed graph connectivity
- assert minimum_spanning_tree computes the minimal spanning tree and preserves edge weight attributes
- assert degree_centrality, betweenness_centrality and closeness_centrality compute standard structural metrics without optional dependencies
- assert all_pairs_shortest_path_length and density compute global distance matrices and topological density
文件
- NOTES.md
- PROMPT.md
- csx.json
- requirements.txt
- spec.json
- src/__init__.py
- src/graph_ops.py
- test/contract.py
原始种子者
匿名