公开记录存在风险
软件健康报告模式 0.26.0 · 指标 1.13.0 · 2026-07-22 00:12 UTC
pymc-devs / pymc
Bayesian Modeling and Probabilistic Programming in Python
pymc-devs/pymc 的健康指数为 100 分中的 44 分，处于「存在风险」区间。 其得分最高的类别是Vitality（98/100），最低的是AI Readiness（52/100）。 最近一次更新在今天。 近期的大部分工作由 6 位贡献者完成。
44
总分 / 100软件健康指数
指标归入加权类别，统一采用 1–100 量表。总体分先取类别加权平均；当公开证据触发高风险司法辖区政策时，评级会按政策调整，并设置 49（有风险）的上限。AI 就绪度不计入总体分。
44
优秀85-100堪称典范；基本满足所有检验标准
良好70-84健康；仅有轻微不足
中等50-69可接受，但存在明显不足；建议进行审查
存在风险30-49存在重大薄弱环节；采用时应保持审慎
危急1-29问题严重（项目被弃置、仅有单一维护者、缺乏基本工程规范）
评分画像
每条轴代表一个类别。形状比平均值更重要——健康的对象会填满整个图形，而“一峰一谷”式画像意味着某一维度的优势正掩盖另一维度的风险。
高风险司法辖区政策对加权总体健康应用 50% 的乘数，并对其设置“存在风险”上限 49。
所有权
软件包生态系统
| 注册表 | 软件包 | 版本 | 月下载量 | 版本数 | 最近发布 |
|---|---|---|---|---|---|
| PyPI | pymc | 6.1.0 | - | 101 | 14 天前 |
按类别列示的指标
活力
项目是否仍有生命——是否仍在编写代码，是否仍在发布版本？
98
开发活跃度
96优秀
评分方式
| 36/36 | 推送新近度 — 最近一次推送于 0 天前 |
| 32.5/36 | 提交节奏 — 52 周中有 47 周有提交 |
| 18/18 | 提交量 — 最近一年 263 次提交 |
| 10/10 | OpenSSF Scorecard：Maintained — 30 commit(s) and 18 issue activity found in the last 90 days -- score normalized to 10 |
所用输入
| commits_last_year | 263 |
| human_commit_share | 0.98 |
| days_since_last_push | 0 |
| active_weeks_last_year | 47 |
发布纪律
100优秀
评分方式
| 27/27 | 有发布版本 — 已发布 100 个发布版本 |
| 36/36 | 发布时效 — 最近一次发布版本于 14 天前 |
| 27/27 | 发布节奏 — 约每 18 天发布一次 |
| 0/10 | OpenSSF Scorecard：Signed-Releases — 无数据 |
所用输入
| releases_count | 100 |
| latest_release_tag | v6.1.0 |
| releases_from_tags | 否 |
| days_since_latest_release | 14 |
| mean_days_between_releases | 18 |
已排除计分（无数据或不适用）：OpenSSF Scorecard：Signed-Releases。 其余权重已重新归一化。
社区与采用
项目是否拥有用户、下载量与关注度，并具备欢迎贡献者参与的配置？
92
流行度与采用
98优秀
评分方式
| 60/60 | 星标 — 9,679 个星标 |
| 25/25 | 复刻 — 2,265 个复刻 |
| 13/15 | 关注者 — 218 位关注者 |
所用输入
| forks | 2,265 |
| stars | 9,679 |
| watchers | 218 |
| growth_state | organic |
| growth_factor_pct | 100 |
社区健康
86优秀
评分方式
| 22.5/22.5 | README |
| 16.9/22.5 | 许可证 — 存在许可证文件，但不是可识别的许可证 |
| 18/18 | CONTRIBUTING 指南 |
| 13.5/13.5 | 行为准则 |
| 0/7.2 | 议题模板 |
| 6.3/6.3 | PR 模板 |
所用输入
| has_readme | 是 |
| has_license | 是 |
| has_contributing | 是 |
| has_issue_template | 否 |
| has_code_of_conduct | 是 |
| has_pull_request_template | 是 |
可持续性与治理
项目能否在其成员之外延续——巴士系数、响应能力、由谁支持，以及软件包的维护状况？
88
维护者韧性（巴士系数）
91优秀
评分方式
| 48.6/54 | 巴士系数 — 6 位贡献者贡献了半数提交 |
| 19.2/22.5 | 提交分布 — 头号贡献者编写了 14% 的提交 |
| 13.5/13.5 | 贡献者广度 — 98 位贡献者 |
| 10/10 | OpenSSF Scorecard：Contributors — project has 70 contributing companies or organizations |
所用输入
| bus_factor | 6 |
| contributors_sampled | 98 |
| top_contributor_share | 0.145 |
议题与 PR 响应能力
88优秀
评分方式
| 42.7/46.8 | 议题解决 — 91% 的议题已关闭 |
| 31.3/38.3 | PR 接受 — 已裁定的 PR 中 3,661/4,480 已合并 |
| 13.5/15 | OpenSSF Scorecard：Code-Review — Found 12/13 approved changesets -- score normalized to 9 |
所用输入
| merged_prs | 3,661 |
| open_issues | 305 |
| closed_issues | 3,220 |
| issue_closed_ratio | 0.913 |
| closed_unmerged_prs | 819 |
所有权与托管责任
74良好
评分方式
| 30/30 | 所有权背书 — 组织持有 |
| 0/20 | 已验证域名 |
| 20.1/25 | 所有者影响力 — pymc-devs 有 619 位关注者 |
| 24/25 | 既往记录 — 44 个公开仓库，账户约 17 年 |
所用输入
| followers | 619 |
| owner_type | Organization |
| is_verified | — |
| owner_login | pymc-devs |
| public_repos | 44 |
| account_age_days | 6,286 |
软件包维护
100优秀
评分方式
| 25/25 | 已发布且可解析 — pypi 上有 1 个软件包 |
| 35/35 | 发布时效 — 最近一次发布于 14 天前 |
| 20/20 | 版本历史 — 101 个已发布版本 |
| 20/20 | 未被弃用 — 活跃，未被弃用或撤回 |
所用输入
| packages | pymc |
| ecosystems | pypi |
| any_deprecated | 否 |
| min_days_since_publish | 14 |
工程质量
基础的工程与文档实践是否到位？
96
工程实践
94优秀
评分方式
| 24/24 | CI 工作流 — 10 个工作流 |
| 24/24 | 存在测试 |
| 16/16 | Linter 配置 |
| 9.6/9.6 | Pre-commit 钩子 |
| 0/6.4 | .editorconfig |
| 20/20 | OpenSSF Scorecard：CI-Tests — 13 out of 13 merged PRs checked by a CI test -- score normalized to 10 |
所用输入
| has_ci | 是 |
| has_tests | 是 |
| has_editorconfig | 否 |
| has_linter_config | 是 |
| has_precommit_config | 是 |
文档
100优秀
评分方式
| 30/30 | README |
| 25/25 | 文档目录 |
| 15/15 | 文档 / 主页站点 — https://www.pymc.io |
| 10/10 | 仓库描述 |
| 10/10 | 主题标签 — 7 个主题标签 |
| 10/10 | Wiki |
所用输入
| topics | python, statistical-analysis, bayesian-inference, mcmc, variational-inference, probabilistic-programming, pytensor |
| has_wiki | 是 |
| homepage | https://www.pymc.io |
| has_readme | 是 |
| has_docs_dir | 是 |
| has_description | 是 |
安全
可见的安全与供应链实践是否稳固，且不存在未解决的高风险司法辖区暴露？
52
安全态势
40存在风险
司法辖区风险警示
检测到高风险司法辖区暴露
1 主要贡献者资料Russia安全与总体评级：最高为“有风险”
依据公开资料中自行填写的所在地。此治理信号不判定国籍、公民身份、意图、制裁状态或个人可信度。
了解司法辖区暴露的评估方式评分方式
| 7.5/7.5 | Binary-Artifacts — no binaries found in the repo |
| 0/7.5 | Branch-Protection — 无数据 |
| 2.5/2.5 | CI-Tests — 13 out of 13 merged PRs checked by a CI test -- score normalized to 10 |
| 0/2.5 | CII-Best-Practices — no effort to earn an OpenSSF best practices badge detected |
| 6.8/7.5 | Code-Review — Found 12/13 approved changesets -- score normalized to 9 |
| 2.5/2.5 | Contributors — project has 70 contributing companies or organizations |
| 10/10 | Dangerous-Workflow — no dangerous workflow patterns detected |
| 7.5/7.5 | Dependency-Update-Tool — update tool detected |
| 0/5 | Fuzzing — project is not fuzzed |
| 2.2/2.5 | 许可证 — license file detected |
| 7.5/7.5 | Maintained — 30 commit(s) and 18 issue activity found in the last 90 days -- score normalized to 10 |
| 5/5 | Packaging — packaging workflow detected |
| 4/5 | Pinned-Dependencies — dependency not pinned by hash detected -- score normalized to 8 |
| 5/5 | SAST — SAST tool is run on all commits |
| 0/5 | Security-Policy — security policy file not detected |
| 0/7.5 | Signed-Releases — 无数据 |
| 7.5/7.5 | Token-Permissions — GitHub workflow tokens follow principle of least privilege |
| 3/7.5 | Vulnerabilities — 6 existing vulnerabilities detected |
所用输入
| source | openssf_scorecard |
| checks_evaluated | 16 |
| scorecard_version | v5.5.0 |
| checks_inconclusive | 2 |
| scorecard_aggregate | 7.9 |
| high_risk_jurisdiction_cap | 49 |
| high_risk_jurisdiction_multiplier | 50 |
| security_posture_after_multiplier | 40 |
| security_posture_before_jurisdiction | 79 |
已排除计分（无数据或不适用）：branch_protection, signed_releases。 其余权重已重新归一化。 高风险司法辖区政策应用 50% 的乘数，并对安全态势设置“存在风险”上限 49。
依赖安全公告
100优秀
评分方式
| 35/35 | 直接依赖不含已知公告 — 没有直接依赖携带已知公告 |
| 25/25 | 间接依赖不含已知公告 — 没有间接依赖携带已知公告 |
| 0/40 | 没有长期未处理的公告 — 没有公告带有发布日期 |
所用输入
| source | osv |
| advisories | 0 |
| affected_packages | 0 |
| assessed_packages | 32 |
| unassessed_packages | 0 |
| affected_by_severity | none |
| direct_affected_packages | 0 |
已排除计分（无数据或不适用）：没有长期未处理的公告。 其余权重已重新归一化。 比对的是 pypi:pymc@6.1.0 的运行时依赖闭包——安装已发布的软件包时真正被拉取进来的内容——共 32 个软件包。 未对可达性进行分析。
AI 就绪度
该仓库在多大程度上具备与 AI 编码代理协同开发与维护的条件？这是一枚独立的实验性徽章——权重为 0.0，因此单独呈现，不影响总体健康评分。
52
AI 代理上下文与指引
23危急
评分方式
| 0/45 | 代理指令 — 没有 CLAUDE.md / AGENTS.md / 编辑器规则 |
| 0/15 | 机器可读文档（llms.txt） |
| 22.9/40 | 可读的提交历史 — 98 次人类提交中有 42 次说明了意图（结构化标题或解释性正文） |
所用输入
| has_llms_txt | 否 |
| legible_history_share | 0.429 |
| agent_instruction_files | — |
| agent_instruction_max_bytes | — |
评分方式
| 18/18 | 一条命令的引导启动 — Makefile |
| 22/22 | 自动化测试 |
| 11/11 | Lint / 格式化配置 |
| 0/11 | 静态类型检查 |
| 10/10 | 可复现环境 — Dockerfile |
| 0/10 | 已体现的代理实践 — 最近 100 次提交中没有代理编写的提交 |
| 8/8 | 自动化维护 — 最近 100 次提交中有 2 次为自动依赖更新 |
| 8/10 | OpenSSF Scorecard：Pinned-Dependencies — dependency not pinned by hash detected -- score normalized to 8 |
所用输入
| has_nix | 否 |
| has_tests | 是 |
| lockfiles | — |
| has_dockerfile | 是 |
| typed_language | 否 |
| bootstrap_files | Makefile |
| has_devcontainer | 否 |
| has_linter_config | 是 |
| typecheck_configs | — |
| agent_commit_share | 0 |
| toolchain_manifests | — |
| dependency_bot_commit_share | 0.02 |
面向模型的代码可读性
53中等
评分方式
| 0/45 | 可类型检查的代码 — Python，未配置类型检查 |
| 52.9/55 | 可控的文件大小 — 采样的 259 个源文件中有 10 个超过 60KB |
所用输入
| primary_language | Python |
| largest_source_bytes | 126,843 |
| source_files_sampled | 259 |
| oversized_source_files | 10 |
机器可读接口
40存在风险
评分方式
| 0/40 | API 模式（OpenAPI/GraphQL/proto） |
| 0/20 | MCP 服务器 |
| 40/40 | 可运行示例 — notebooks |
所用输入
| example_dirs | notebooks |
| has_mcp_signal | 否 |
| api_schema_files | — |
关键数据
9,679GitHub 星标
98贡献者
263最近 12 个月提交数
0距最近推送天数
100发布版本数
6巴士系数（bus factor）
305开放议题
PyPI软件包生态系统数
更多细节
Star 与 Fork 历史 9,679 ★ / 2,265 ⇿
9,679Star
2,265Fork
93发布
每颗 star 和每个 fork 的添加时间，来自 GitHub 并按天汇总。累计增长位于其构成来源——每日新增——的正上方，二者可相互对照：稳定的自然增长与短暂的突增形态截然不同。当这一差别可被衡量时，它会作为增长真实性予以报告。
仅显示最近的历史——该仓库超出采集窗口，因此未采集最早的历史记录。
主版本 3次版本 33修订 51
每个点涵盖 5 天。
OpenSSF Scorecard 7.9 / 10
7.9综合
来自开源项目 OpenSSF Scorecard 的独立、工具无关的安全评估。每项检查奖励的是安全实践本身，而非特定供应商的工具。Scorecard 无法判定的检查项标记为 不适用，并从安全评分中剔除（绝不按零分计）。
| 10 | Binary-Artifacts | no binaries found in the repo |
| 不适用 | Branch-Protection | internal error: error during branchesHandler.setup: internal error: some github tokens can't read classic branch protection rules: https://github.com/ossf/scorecard-action/blob/main/docs/authentication/fine-grained-auth-token.md |
| 10 | CI-Tests | 13 out of 13 merged PRs checked by a CI test -- score normalized to 10 |
| 0 | CII-Best-Practices | no effort to earn an OpenSSF best practices badge detected |
| 9 | Code-Review | Found 12/13 approved changesets -- score normalized to 9 |
| 10 | Contributors | project has 70 contributing companies or organizations |
| 10 | Dangerous-Workflow | no dangerous workflow patterns detected |
| 10 | Dependency-Update-Tool | update tool detected |
| 0 | Fuzzing | project is not fuzzed |
| 9 | License | license file detected |
| 10 | Maintained | 30 commit(s) and 18 issue activity found in the last 90 days -- score normalized to 10 |
| 10 | Packaging | packaging workflow detected |
| 8 | Pinned-Dependencies | dependency not pinned by hash detected -- score normalized to 8 |
| 10 | SAST | SAST tool is run on all commits |
| 0 | Security-Policy | security policy file not detected |
| 不适用 | Signed-Releases | no releases found |
| 10 | Token-Permissions | GitHub workflow tokens follow principle of least privilege |
| 4 | Vulnerabilities | 6 existing vulnerabilities detected |
全部依赖 34
来自 GitHub 依赖图的完整解析依赖集合：0 个直接依赖与 34 个间接（传递）软件包。仓库提交锁文件时，传递闭包才是完整的。
| 注册表 | 软件包 | 版本 | 关系 |
|---|---|---|---|
| PyPI | arviz | — | 间接 |
| PyPI | cachetools | — | 间接 |
| PyPI | cloudpickle | — | 间接 |
| PyPI | ipython | — | 间接 |
| PyPI | jupyter-sphinx | — | 间接 |
| PyPI | mcbackend | — | 间接 |
| PyPI | mypy | 1.19.1 | 间接 |
| PyPI | myst-nb | — | 间接 |
| PyPI | netcdf4 | — | 间接 |
| PyPI | numdifftools | — | 间接 |
| PyPI | numpy | — | 间接 |
| PyPI | numpydoc | — | 间接 |
| PyPI | nutpie | — | 间接 |
| PyPI | pandas | — | 间接 |
| PyPI | polyagamma | — | 间接 |
| PyPI | pre-commit | — | 间接 |
| PyPI | pymc-sphinx-theme | — | 间接 |
| PyPI | pytensor | — | 间接 |
| PyPI | pytest | — | 间接 |
| PyPI | pytest-cov | — | 间接 |
| PyPI | rich | — | 间接 |
| PyPI | scipy | — | 间接 |
| PyPI | sphinx | — | 间接 |
| PyPI | sphinx-copybutton | — | 间接 |
| PyPI | sphinx-design | — | 间接 |
| PyPI | sphinx-notfound-page | — | 间接 |
| PyPI | sphinx-remove-toctrees | — | 间接 |
| PyPI | sphinxext-rediraffe | — | 间接 |
| PyPI | threadpoolctl | — | 间接 |
| PyPI | types-cachetools | — | 间接 |
| PyPI | typing-extensions | — | 间接 |
| PyPI | versioneer | 0.29 | 间接 |
| PyPI | watermark | — | 间接 |
| PyPI | zarr | — | 间接 |
依赖安全公告 0
安装 pypi:pymc@6.1.0 会引入 32 个包（直接与传递）：其中 0 个存在已知公告，0 个为直接依赖。
没有已知公告影响已评估的依赖。
公告表示依赖图中记录的版本落入某条公告的受影响范围。可达性未经分析，且依赖图包含开发与测试的版本固定——某项发现可能只涉及工具链而非交付的软件。
原始 JSON 报告 机器可读
{
"data": {
"repo": {
"topics": [
"python",
"statistical-analysis",
"bayesian-inference",
"mcmc",
"variational-inference",
"probabilistic-programming",
"pytensor"
],
"is_fork": false,
"size_kb": 545832,
"has_wiki": true,
"homepage": "https://www.pymc.io",
"languages": {
"Shell": 5344,
"Python": 3766686,
"Makefile": 1468,
"Dockerfile": 1304
},
"pushed_at": "2026-07-21T20:16:25Z",
"created_at": "2009-05-05T09:43:50Z",
"owner_type": "Organization",
"updated_at": "2026-07-21T20:16:41Z",
"description": "Bayesian Modeling and Probabilistic Programming in Python",
"is_archived": false,
"is_disabled": false,
"license_spdx": null,
"default_branch": "main",
"license_spdx_raw": "NOASSERTION",
"primary_language": "Python",
"significant_languages": [
"Python"
]
},
"owner": {
"blog": "https://www.pymc.io",
"name": "PyMC",
"type": "Organization",
"login": "pymc-devs",
"company": null,
"location": null,
"followers": 619,
"avatar_url": "https://avatars.githubusercontent.com/u/81121?v=4",
"created_at": "2009-05-05T09:27:33Z",
"is_verified": null,
"public_repos": 44,
"account_age_days": 6286
},
"license": {
"state": "custom",
"spdx_id": null,
"raw_spdx": "NOASSERTION",
"file_present": true,
"scorecard_found": true,
"profile_has_license": true
},
"activity": {
"releases": [
{
"tag": "v6.1.0",
"kind": "minor",
"published_at": "2026-07-07T10:17:02Z"
},
{
"tag": "v6.0.1",
"kind": "patch",
"published_at": "2026-05-20T21:12:33Z"
},
{
"tag": "v6.0.0",
"kind": "major",
"published_at": "2026-05-13T08:39:43Z"
},
{
"tag": "v5.28.5",
"kind": "patch",
"published_at": "2026-05-01T14:33:28Z"
},
{
"tag": "v5.28.4",
"kind": "patch",
"published_at": "2026-04-07T13:50:35Z"
},
{
"tag": "v5.28.3",
"kind": "patch",
"published_at": "2026-03-30T16:27:25Z"
},
{
"tag": "v5.28.2",
"kind": "patch",
"published_at": "2026-03-09T17:42:59Z"
},
{
"tag": "v5.28.1",
"kind": "patch",
"published_at": "2026-02-28T17:26:14Z"
},
{
"tag": "v5.28.0",
"kind": "minor",
"published_at": "2026-02-21T09:31:09Z"
},
{
"tag": "v5.27.1",
"kind": "patch",
"published_at": "2026-01-26T11:55:46Z"
},
{
"tag": "v5.27.0",
"kind": "minor",
"published_at": "2025-12-21T12:44:44Z"
},
{
"tag": "v5.26.1",
"kind": "patch",
"published_at": "2025-10-17T11:39:42Z"
},
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"body": "scipy's spline.integral now rejects non-0-dimensional bounds. When a\nbatched size prepends length-1 dims to x_points/pdf_points, squeeze them\nback to 1-D before building the spline and computing the normalization.",
"is_bot": false,
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"body": "LatentKron._build_prior was passing **kwargs (including dims) to the\ninternal pm.Normal rotated variable, but was not forwarding dims to\nthe final pm.Deterministic node representing the GP function f.\n\nThis made it inconsistent with gp.Latent and gp.TP, which already\ncorrectly pass dims to their Det\n[…]\nargs.get('dims', None) to pm.Deterministic in\n LatentKron._build_prior\n- Add test testLatentKronDims to verify that the GP variable returned\n by LatentKron.prior carries the correct named dimensions",
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"headline": "Add dims support to LatentKron GP prior",
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"headline": "Add Poisson and NegativeBinomial to pymc.dims (#8305)",
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"body": "Profiling-backed changes targeting the two tests where iteration\nreduction yields meaningful savings.\n\ntest_weakref_leak (89s on CI → estimated ~30s):\nObject count profiling shows memory state stabilizes at iteration 2.\nThe original test used 16 warmup iterations before checking — reduced\nto 3 warmu\n[…]\ne(3): compile\n time is 99.98% of cost, loop saves 0.6ms total\n- test_interpolated x_points 100k→20k: compilation is 91.8% of cost,\n array reduction saves ~296ms across 56 iterations\n\nAddresses #7686",
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"headline": "Fix display of nutpie progress bar in marimo",
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"body": "Apply bold brand theme (teal #12698A nodes, white text, dark gray\nlines) to the mermaid graph shown in marimo notebooks via _display_.\nFalls back gracefully to the default theme when marimo does not yet\nsupport the theme_variables parameter.",
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"headline": "feat: add PyMC brand styling to Model._display_ mermaid diagram",
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"body": "Verify `import pymc` does not pull in arviz_base, arviz_plots,\narviz_stats, scipy submodules, zarr, or pytensor.sparse. Uses a\nbuiltins.__import__ hook to capture stack traces for diagnostics.",
"is_bot": false,
"headline": "Add eager-import regression test",
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"body": "Replace top-level arviz_base imports with lazy patterns:\n- backends/arviz.py: self-replacing stubs for dict_to_dataset and\n make_attrs, inline rcParams, copy requires decorator\n- backends/zarr.py: import make_attrs from backends.arviz stub\n- stats/convergence.py: function-local arviz_stats import\n\nTemporary workaround until arviz cleans up its eager imports",
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"body": "Use module-level __getattr__ / __dir__ to lazily import arviz_stats\nand arviz_plots on first attribute access, keeping `import pymc` fast.",
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"body": "Defer IPython registration in printing.py to avoid pulling in the\nheavy IPython dependency at `import pymc` time. The pretty printer\nis only registered when IPython is already loaded.",
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"body": "Replace the eager ``from mcbackend import Backend, Run`` with\n``importlib.util.find_spec`` for the availability check and a lazy\nimport inside ``init_traces()``. The old try/except pulled in\nmcbackend at module load, which transitively imported arviz_base\nand all of scipy.",
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"body": "Introduce lightweight marker base classes ``_ZarrChainBase`` and\n``_ZarrTraceBase`` in ``pymc.backends`` so that ``isinstance`` checks\nwork without importing the real zarr-backed classes (which pull in the\nheavy ``zarr`` dependency). The actual ``ZarrTrace`` is now exposed\nthrough ``__getattr__`` on the backends package.",
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"body": "Deprecated in 2024-02 (PR #7132) in favor of\n``pytensor.tensor.linalg.block_diag`` and ``pytensor.sparse.basic.block_diag``.",
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"headline": "Remove deprecated pymc.math.block_diagonal",
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"body": "With ``cores < chains``, later chains start sampling much later but\ntheir elapsed/speed clock had been ticking from the first chain's start.",
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"body": "Pure refactor — except ``NutpieProgressBarManager.update`` in combined\nmode, which previously overwrote stats with the last chain's values\non each call instead of aggregating across chains.",
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"headline": "Progress bar: cleanup init computation",
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{
"key": "package_maintenance",
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"ecosystems": "pypi"
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{
"key": "publish_recency",
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"points": 35,
"status": "met",
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"code": "publish_recency",
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{
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"points": 20,
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{
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{
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],
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{
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"weight": 0.2,
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{
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"note": null,
"notes": [],
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"details": [
{
"code": "ci_workflows",
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{
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{
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{
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{
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{
"key": "openssf_scorecard_ci_tests",
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},
{
"key": "documentation",
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"notes": [],
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"inputs": {
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{
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{
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{
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{
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{
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"status": "met",
"details": [],
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}
],
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{
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"weight": 0.16,
"metrics": [
{
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"notes": [
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{
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{
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"points": 7.5,
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{
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{
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"points": 0,
"status": "missed",
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{
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{
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"status": "met",
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{
"key": "dangerous_workflow",
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"points": 10,
"status": "met",
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{
"key": "dependency_update_tool",
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"points": 7.5,
"status": "met",
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{
"key": "fuzzing",
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"points": 0,
"status": "missed",
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{
"key": "license",
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"points": 2.2,
"status": "partial",
"details": [],
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{
"key": "maintained",
"name": "Maintained",
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"points": 7.5,
"status": "met",
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{
"key": "packaging",
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"points": 5,
"status": "met",
"details": [],
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{
"key": "pinned_dependencies",
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"status": "partial",
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{
"key": "sast",
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"points": 5,
"status": "met",
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{
"key": "security_policy",
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"points": 0,
"status": "missed",
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{
"key": "signed_releases",
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"status": "excluded",
"details": [
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"code": "no_data",
"params": {}
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],
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{
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"status": "met",
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{
"key": "vulnerabilities",
"name": "Vulnerabilities",
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"status": "partial",
"details": [],
"max_points": 7.5
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]
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{
"key": "dependency_advisories",
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"notes": [
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{
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"inputs": {
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{
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{
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"points": 52.9,
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"notes": [],
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