公开记录
软件健康报告模式 0.27.0 · 指标 1.13.0 · 2026-07-25 08:48 UTC

google / pyglove

Manipulating Python Programs

PythonApache-2.0★ 717 星标⑂ 39 复刻始于 2022年5月在 GitHub 上查看 ↗

google/pyglove 的健康指数为 100 分中的 68 分,处于「中等」区间。 其得分最高的类别是Community & Adoption(74/100),最低的是AI Readiness(30/100)。 最近一次更新在 4 天前。 近期的大部分工作由 1 位贡献者完成。

68
总分 / 100
中等

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。

68
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)
活力社区与采用可持续性与治理工程质量安全AI 就绪度

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。

所有权

Google组织
75,920 关注者2,888 个公开仓库始于 2012年1月

该仓库由组织支持——共同承担、可问责的托管责任,可延续于任何单一维护者之后。

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标签
PyPIpyglove0.4.5-1,463374 天前aimachinelearningautomlmutablesymbolicframeworkmeta-programming

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?

68中等 · 占总体的 22%
评分方式
36/36推送新近度 — 最近一次推送于 4 天前
13.2/36提交节奏 — 52 周中有 19 周有提交
14.5/18提交量 — 最近一年 40 次提交
9/10OpenSSF Scorecard:Maintained — 11 commit(s) and 0 issue activity found in the last 90 days -- score normalized to 9
所用输入
commits_last_year40
human_commit_share1
days_since_last_push4
active_weeks_last_year19

发布纪律

60中等
评分方式
27/27有发布版本 — 已发布 10 个发布版本
7.2/36发布时效 — 最近一次发布版本于 374 天前
19.8/27发布节奏 — 约每 112.1 天发布一次
0/10OpenSSF Scorecard:Signed-Releases — 无数据
所用输入
releases_count10
latest_release_tagv0.4.5
releases_from_tags
days_since_latest_release374
mean_days_between_releases112.1
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?

74良好 · 占总体的 18%
评分方式
46.3/60星标 — 717 个星标
13.2/25复刻 — 39 个复刻
4.7/15关注者 — 8 位关注者
所用输入
forks39
stars717
watchers8
growth_stateunverified
growth_factor_pct100
growth_unverified_reasonno_history

社区健康

85优秀
评分方式
22.5/22.5README
22.5/22.5许可证 — 可识别的许可证(Apache-2.0)
18/18CONTRIBUTING 指南
13.5/13.5行为准则
0/7.2议题模板
0/6.3PR 模板
所用输入
has_readme
has_license
has_contributing
has_issue_template
has_code_of_conduct
has_pull_request_template

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?

61中等 · 占总体的 24%
评分方式
9/54巴士系数 — 1 位贡献者贡献了半数提交
1.7/22.5提交分布 — 头号贡献者编写了 92% 的提交
13.5/13.5贡献者广度 — 12 位贡献者
3/10OpenSSF Scorecard:Contributors — project has 1 contributing companies or organizations -- score normalized to 3
所用输入
bus_factor1
contributors_sampled12
top_contributor_share0.924
评分方式
45/46.8议题解决 — 96% 的议题已关闭
20.6/38.3PR 接受 — 已裁定的 PR 中 208/386 已合并
4.5/15OpenSSF Scorecard:Code-Review — Found 9/30 approved changesets -- score normalized to 3
所用输入
merged_prs208
open_issues1
closed_issues25
issue_closed_ratio0.962
closed_unmerged_prs178
评分方式
30/30所有权背书 — 组织持有
0/20已验证域名
25/25所有者影响力 — google 有 75,920 位关注者
25/25既往记录 — 2,888 个公开仓库,账户约 14 年
所用输入
followers75,920
owner_typeOrganization
is_verified
owner_logingoogle
public_repos2,888
account_age_days5,302
评分方式
25/25已发布且可解析 — pypi 上有 1 个软件包
14/35发布时效 — 最近一次发布于 374 天前
20/20版本历史 — 1,463 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
packagespyglove
ecosystemspypi
any_deprecated
min_days_since_publish374

工程质量

基础的工程与文档实践是否到位?

71良好 · 占总体的 20%

工程实践

68中等
评分方式
24/24CI 工作流 — 4 个工作流
24/24存在测试
0/16Linter 配置
0/9.6Pre-commit 钩子
0/6.4.editorconfig
20/20OpenSSF Scorecard:CI-Tests — 20 out of 20 merged PRs checked by a CI test -- score normalized to 10
所用输入
has_ci
has_tests
has_editorconfig
has_linter_config
has_precommit_config

文档

75良好
评分方式
30/30README
25/25文档目录
0/15文档 / 主页站点
10/10仓库描述
10/10主题标签 — 8 个主题标签
0/10Wiki
所用输入
topicsautoml, evolution, machine-learning, meta-learning, meta-programming, symbolic-programming, manipulation, python
has_wiki
homepage
has_readme
has_docs_dir
has_description

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?

67中等 · 占总体的 16%

安全态势

59中等
评分方式
7.5/7.5Binary-Artifacts — no binaries found in the repo
0/7.5Branch-Protection — 无数据
2.5/2.5CI-Tests — 20 out of 20 merged PRs checked by a CI test -- score normalized to 10
0/2.5CII-Best-Practices — no effort to earn an OpenSSF best practices badge detected
2.2/7.5Code-Review — Found 9/30 approved changesets -- score normalized to 3
0.8/2.5Contributors — project has 1 contributing companies or organizations -- score normalized to 3
10/10Dangerous-Workflow — no dangerous workflow patterns detected
0/7.5Dependency-Update-Tool — no update tool detected
0/5Fuzzing — project is not fuzzed
2.5/2.5许可证 — license file detected
6.8/7.5Maintained — 11 commit(s) and 0 issue activity found in the last 90 days -- score normalized to 9
0/5Packaging — 无数据
0/5Pinned-Dependencies — dependency not pinned by hash detected -- score normalized to 0
5/5SAST — SAST tool is run on all commits
5/5Security-Policy — security policy file detected
0/7.5Signed-Releases — 无数据
0/7.5Token-Permissions — detected GitHub workflow tokens with excessive permissions
7.5/7.5Vulnerabilities — 0 existing vulnerabilities detected
所用输入
sourceopenssf_scorecard
checks_evaluated15
scorecard_versionv5.5.0
checks_inconclusive3
scorecard_aggregate5.9
已排除计分(无数据或不适用):branch_protection, packaging, signed_releases。 其余权重已重新归一化。
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
sourceosv
advisories0
affected_packages0
assessed_packages2
unassessed_packages0
affected_by_severitynone
direct_affected_packages0
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:pyglove@0.4.5 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 2 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。

30存在风险 · 占总体的 0%
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)
24.5/40可读的提交历史 — 100 次人类提交中有 46 次说明了意图(结构化标题或解释性正文)
所用输入
has_llms_txt
legible_history_share0.46
agent_instruction_files
agent_instruction_max_bytes
评分方式
0/18一条命令的引导启动
22/22自动化测试
0/11Lint / 格式化配置
0/11静态类型检查
0/10可复现环境
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
0/8自动化维护 — 未观察到自动依赖更新
0/10OpenSSF Scorecard:Pinned-Dependencies — dependency not pinned by hash detected -- score normalized to 0
所用输入
has_nix
has_tests
lockfiles
has_dockerfile
typed_language
bootstrap_files
has_devcontainer
has_linter_config
typecheck_configs
agent_commit_share0
toolchain_manifests
dependency_bot_commit_share0
评分方式
0/45可类型检查的代码 — Python,未配置类型检查
53.2/55可控的文件大小 — 采样的 241 个源文件中有 8 个超过 60KB
所用输入
primary_languagePython
largest_source_bytes131,170
source_files_sampled241
oversized_source_files8

机器可读接口

40存在风险
评分方式
0/40API 模式(OpenAPI/GraphQL/proto)
0/20MCP 服务器
40/40可运行示例 — examples, notebooks
所用输入
example_dirsexamples, notebooks
has_mcp_signal
api_schema_files

关键数据

717GitHub 星标
12贡献者
40最近 12 个月提交数
4距最近推送天数
10发布版本数
1巴士系数(bus factor)
1开放议题
PyPI软件包生态系统数

数据采集警告

  • Star history unavailable: GitHub GraphQL error: Resource not accessible by personal access token

更多细节

Star 与 Fork 历史 0 ★ / 39 ⇿
0Star
39Fork
10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。

0102030403932022-072024-072026-07
主版本 0次版本 3修订 7

每个点涵盖 4 天。

OpenSSF Scorecard 5.9 / 10
5.9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)。Scorecard v5.5.0 · 2026-07-25 08:48 UTC

10Binary-Artifactsno binaries found in the repo
不适用Branch-Protectioninternal 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
10CI-Tests20 out of 20 merged PRs checked by a CI test -- score normalized to 10
0CII-Best-Practicesno effort to earn an OpenSSF best practices badge detected
3Code-ReviewFound 9/30 approved changesets -- score normalized to 3
3Contributorsproject has 1 contributing companies or organizations -- score normalized to 3
10Dangerous-Workflowno dangerous workflow patterns detected
0Dependency-Update-Toolno update tool detected
0Fuzzingproject is not fuzzed
10Licenselicense file detected
9Maintained11 commit(s) and 0 issue activity found in the last 90 days -- score normalized to 9
不适用Packagingpackaging workflow not detected
0Pinned-Dependenciesdependency not pinned by hash detected -- score normalized to 0
10SASTSAST tool is run on all commits
10Security-Policysecurity policy file detected
不适用Signed-Releasesno releases found
0Token-Permissionsdetected GitHub workflow tokens with excessive permissions
10Vulnerabilities0 existing vulnerabilities detected
全部依赖 10

来自 GitHub 依赖图的完整解析依赖集合:0 个直接依赖与 10 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
PyPIabsl-py间接
PyPIautodocsumm间接
PyPIdocstring-parser间接
PyPIfsspec间接
PyPIfuro间接
PyPIjinja2间接
PyPImyst-nb间接
PyPIsphinx-autodoc-typehints间接
PyPIsphinx-copybutton间接
PyPItermcolor间接
依赖安全公告 0

安装 pypi:pyglove@0.4.5 会引入 2 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": [
        "automl",
        "evolution",
        "machine-learning",
        "meta-learning",
        "meta-programming",
        "symbolic-programming",
        "manipulation",
        "python"
      ],
      "is_fork": false,
      "size_kb": 4163,
      "has_wiki": false,
      "homepage": null,
      "languages": {
        "Python": 2915182
      },
      "pushed_at": "2026-07-20T13:52:56Z",
      "created_at": "2022-05-12T23:46:21Z",
      "owner_type": "Organization",
      "updated_at": "2026-07-21T09:25:24Z",
      "description": "Manipulating Python Programs",
      "is_archived": false,
      "is_disabled": false,
      "license_spdx": "Apache-2.0",
      "default_branch": "main",
      "license_spdx_raw": "Apache-2.0",
      "primary_language": "Python",
      "significant_languages": [
        "Python"
      ]
    },
    "owner": {
      "blog": "https://opensource.google/",
      "name": "Google",
      "type": "Organization",
      "login": "google",
      "company": null,
      "location": "United States of America",
      "followers": 75920,
      "avatar_url": "https://avatars.githubusercontent.com/u/1342004?v=4",
      "created_at": "2012-01-18T01:30:18Z",
      "is_verified": null,
      "public_repos": 2888,
      "account_age_days": 5302
    },
    "license": {
      "state": "standard",
      "spdx_id": "Apache-2.0",
      "raw_spdx": "Apache-2.0",
      "file_present": true,
      "scorecard_found": true,
      "profile_has_license": true
    },
    "activity": {
      "releases": [
        {
          "tag": "v0.4.5",
          "kind": "patch",
          "published_at": "2025-07-15T19:08:11Z"
        },
        {
          "tag": "v0.4.4",
          "kind": "patch",
          "published_at": "2024-01-04T19:14:19Z"
        },
        {
          "tag": "v0.4.3",
          "kind": "patch",
          "published_at": "2023-09-13T23:14:00Z"
        },
        {
          "tag": "v0.4.2",
          "kind": "patch",
          "published_at": "2023-07-28T17:52:51Z"
        },
        {
          "tag": "v0.4.1",
          "kind": "patch",
          "published_at": "2023-07-22T03:53:10Z"
        },
        {
          "tag": "v0.4.0",
          "kind": "minor",
          "published_at": "2023-07-13T17:09:02Z"
        },
        {
          "tag": "v0.3.0",
          "kind": "minor",
          "published_at": "2023-03-17T21:34:39Z"
        },
        {
          "tag": "v0.2.1",
          "kind": "patch",
          "published_at": "2023-01-18T17:26:51Z"
        },
        {
          "tag": "v0.2.0",
          "kind": "minor",
          "published_at": "2022-10-13T18:23:30Z"
        },
        {
          "tag": "v0.1.1",
          "kind": "patch",
          "published_at": "2022-10-10T17:29:10Z"
        }
      ],
      "recent_commits": [
        {
          "oid": "19cbc7381e339063917096cf14ee76d71bf2e168",
          "body": "PiperOrigin-RevId: 950808435",
          "is_bot": false,
          "headline": "Suppress pyrefly errors",
          "author_name": "Hana Joo",
          "author_login": "h-joo",
          "committed_at": "2026-07-20T13:52:48Z",
          "body_truncated": false,
          "is_coding_agent": false
        },
        {
          "oid": "ebdb062cc68aa5f3a4738f1b14eb66cc6bb3db35",
          "body": "`pg.from_json_str` (and the underlying `utils.json_conversion.from_json` and\n`resolve_typenames`).\n\nThe default (`trusted=True`) is fully backward-compatible and leaves existing\nbehavior unchanged. Passing `trusted=False` deserializes untrusted JSON safely:\n`function`/`method`/`type` symbol resolution is rejected, `_type` resolution is\nrestricted to the explicit registry allowlist (no `auto_import`), and\nopaque-object pickle is disabled.\n\nPiperOrigin-RevId: 948699299",
          "is_bot": false,
          "headline": "Add an explicit `trusted: bool = True` parameter to `pg.from_json` and",
          "author_name": "Yifeng Lu",
          "author_login": "yifenglou",
          "committed_at": "2026-07-16T03:22:47Z",
          "body_truncated": false,
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        },
        {
          "oid": "8baa9e759862b1b2f015ac56805e1e393f365a70",
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          "body_truncated": false,
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        },
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          "headline": "Support dynamic attributes for Pyrefly in classes using HAS_DYNAMIC_A…",
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          "body": "backward compatibility, but provide disallow_opaque_pickle() for\nsecurity-sensitive contexts (e.g. cloud services handling untrusted\nJSON) to opt out.\n\nChanges:\n- auto_register = False on _OpaqueObject: removes it from the type\n  registry so it is harder to discover during deserialization.\n- _opaque\n[…]\nallow_opaque_pickle(): context manager for security contexts\n  to disable _OpaqueObject pickle deserialization.\n- from_json gate: raises TypeError when pickle is disabled.\nPiperOrigin-RevId: 925476219",
          "is_bot": false,
          "headline": "Keep _OpaqueObject pickle deserialization enabled by default for",
          "author_name": "Yifeng Lu",
          "author_login": "yifenglou",
          "committed_at": "2026-06-02T18:22:20Z",
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        {
          "oid": "f325a00bc818489c2e03480c03ccd9c5b5ac8e6a",
          "body": "Also fix types.UnionType (e.g. int | str) being incorrectly\nhandled as an opaque object instead of a typing annotation.\n\nPiperOrigin-RevId: 923677252",
          "is_bot": false,
          "headline": "Fix critical RCE via pickle in _OpaqueObject deserialization.",
          "author_name": "Yifeng Lu",
          "author_login": "yifenglou",
          "committed_at": "2026-05-30T00:21:34Z",
          "body_truncated": false,
          "is_coding_agent": false
        },
        {
          "oid": "2e2c74e4b05ce1bc060594ad978c7ac3b2b7909e",
          "body": "Also fix types.UnionType (e.g. int | str) being incorrectly\nhandled as an opaque object instead of a typing annotation.\n\nPiperOrigin-RevId: 923631121",
          "is_bot": false,
          "headline": "Fix critical RCE via pickle in _OpaqueObject deserialization.",
          "author_name": "Yifeng Lu",
          "author_login": "yifenglou",
          "committed_at": "2026-05-29T22:35:43Z",
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          "is_coding_agent": false
        },
        {
          "oid": "3c9466762dbc9efb1e44c8c39fd0a0e9f3b665f7",
          "body": "…porting module reloading.\n\nPiperOrigin-RevId: 918722127",
          "is_bot": false,
          "headline": "PyGlove: deprecate Python version 3.9 and release pyglove/dev for sup…",
          "author_name": "Daiyi Peng",
          "author_login": "daiyip",
          "committed_at": "2026-05-20T23:59:46Z",
          "body_truncated": false,
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        },
        {
          "oid": "4387242816b11e5a208f4aa95551e3485c9146bc",
          "body": "PiperOrigin-RevId: 856198394",
          "is_bot": false,
          "headline": "Replace unicode escaped characters in ipynb files",
          "author_name": "Matej Aleksandrov",
          "author_login": "AleksMat",
          "committed_at": "2026-01-14T15:08:20Z",
          "body_truncated": false,
          "is_coding_agent": false
        },
        {
          "oid": "cc8692c511fd8deaae229add3cca63cd69f43902",
          "body": "PiperOrigin-RevId: 840411251",
          "is_bot": false,
          "headline": "Add pg.io.getctime() and pg.io.getmtime().",
          "author_name": "Daiyi Peng",
          "author_login": "daiyip",
          "committed_at": "2025-12-04T22:47:30Z",
          "body_truncated": false,
          "is_coding_agent": false
        },
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          "oid": "72ca141be77d59ca2c859b5b42fa735c4a09353a",
          "body": "PiperOrigin-RevId: 838930644",
          "is_bot": false,
          "headline": "Add `pg.io.copy`.",
          "author_name": "Daiyi Peng",
          "author_login": "daiyip",
          "committed_at": "2025-12-01T22:19:57Z",
          "body_truncated": false,
          "is_coding_agent": false
        },
        {
          "oid": "921336a234db3a94ca17143de52079a998628203",
          "body": "We're introducing the option to use `pg.from_json(..., convert_unknown=True)` to allow deserialization to proceed even when the original Python class, function, or method definitions are not available at runtime.\n\n## Motivation: the problem of missing type definitions\n\nWhen serializing and deseriali\n[…]\n.b.name)\n# Output: '__main__.foo'\n\n# Verification of types:\nassert isinstance(v.a, pg.symbolic.UnknownTypedObject)\nassert isinstance(v.b, pg.symbolic.UnknownFunction)\n```\n\nPiperOrigin-RevId: 833908094",
          "is_bot": false,
          "headline": "# Enabling Flexible Deserialization with Unknown Types in PyGlove",
          "author_name": "Daiyi Peng",
          "author_login": "daiyip",
          "committed_at": "2025-11-18T19:49:57Z",
          "body_truncated": true,
          "is_coding_agent": false
        },
        {
          "oid": "272e4a71f5899dcb3a0ac8eea55947c9afdb6d8e",
          "body": "With this CL, users could use `pg.io` APIs to access various filesystems (S3, GCP) when fsspec is installed.\n\nPiperOrigin-RevId: 833501879",
          "is_bot": false,
          "headline": "`pg.io`: Add optional fsspec support.",
          "author_name": "Daiyi Peng",
          "author_login": "daiyip",
          "committed_at": "2025-11-17T22:41:11Z",
          "body_truncated": false,
          "is_coding_agent": false
        },
        {
          "oid": "4e14f06bbd79c8ac143a89bc4ec104b0748b2f69",
          "body": "PiperOrigin-RevId: 833393220",
          "is_bot": false,
          "headline": "`pg.io`: Path check is not necessary for `StdFile.close`.",
          "author_name": "Daiyi Peng",
          "author_login": "daiyip",
          "committed_at": "2025-11-17T18:17:46Z",
          "body_truncated": false,
          "is_coding_agent": false
        },
        {
          "oid": "4601ad34a7f0eaa89b3f103861608d8624deab15",
          "body": "Some file systems (especially those under heavy load) write to temporary paths and use an atomic rename operation upon closing the file. By polling for the final path's existence, we guarantee the file is fully finalized and visible before proceeding with subsequent operations like `os.chmod()` or reading.\n\nPiperOrigin-RevId: 832993526",
          "is_bot": false,
          "headline": "[pg.io] Wait for the file path to exist after closing.",
          "author_name": "Daiyi Peng",
          "author_login": "daiyip",
          "committed_at": "2025-11-16T16:43:34Z",
          "body_truncated": false,
          "is_coding_agent": false
        },
        {
          "oid": "bc0ccf3b48d46dca86d547fe73f9a245d01d6324",
          "body": "PiperOrigin-RevId: 831502697",
          "is_bot": false,
          "headline": "Add `pg.io.FileSystem.rename` and `pg.io.rename`.",
          "author_name": "Daiyi Peng",
          "author_login": "daiyip",
          "committed_at": "2025-11-12T20:54:10Z",
          "body_truncated": false,
          "is_coding_agent": false
        },
        {
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          "body": "PiperOrigin-RevId: 830687509",
          "is_bot": false,
          "headline": "Add `pg.io.FileSystem.glob` and `pg.io.glob`.",
          "author_name": "Daiyi Peng",
          "author_login": "daiyip",
          "committed_at": "2025-11-11T02:58:18Z",
          "body_truncated": false,
          "is_coding_agent": false
        },
        {
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          "body": "PiperOrigin-RevId: 828010956",
          "is_bot": false,
          "headline": "Fix Python 3.9 and 3.10 test error.",
          "author_name": "Daiyi Peng",
          "author_login": "daiyip",
          "committed_at": "2025-11-04T17:35:44Z",
          "body_truncated": false,
          "is_coding_agent": false
        },
        {
          "oid": "86e4df8ee68fcf3290cd0a0eb971a7507f4e95bc",
          "body": "PiperOrigin-RevId: 826946280",
          "is_bot": false,
          "headline": "Python 3.14 support.",
          "author_name": "Daiyi Peng",
          "author_login": "daiyip",
          "committed_at": "2025-11-01T22:03:01Z",
          "body_truncated": false,
          "is_coding_agent": false
        },
        {
          "oid": "fb41346465307af8952afbacac196a9d51cc5104",
          "body": null,
          "is_bot": false,
          "headline": "Support Python 3.14.",
          "author_name": "Daiyi Peng",
          "author_login": "daiyip",
          "committed_at": "2025-11-01T21:27:33Z",
          "body_truncated": false,
          "is_coding_agent": false
        },
        {
          "oid": "67968bdf1a91a6fc7110b335e439953e4d51e5d1",
          "body": "PiperOrigin-RevId: 825810047",
          "is_bot": false,
          "headline": "Fix flaky evolution test when mutation happens on the last DNA.",
          "author_name": "Daiyi Peng",
          "author_login": "daiyip",
          "committed_at": "2025-10-30T02:28:28Z",
          "body_truncated": false,
          "is_coding_agent": false
        },
        {
          "oid": "c1524726ee2f2a4e869a795b96c4c423bdce9ff6",
          "body": "PiperOrigin-RevId: 825765785",
          "is_bot": false,
          "headline": "TabControl to support `remove` method.",
          "author_name": "Daiyi Peng",
          "author_login": "daiyip",
          "committed_at": "2025-10-29T23:57:11Z",
          "body_truncated": false,
          "is_coding_agent": false
        },
        {
          "oid": "b9b1818a57fee04095a7f737d4d3f66696b14194",
          "body": "Example:\n\n```\nclass A(pg.Object):\n  # pg.Ref[B] is a `pg.typing.ValueSpec` object.\n  x: dict[int, pg.Ref[B]]\n```\n\nPiperOrigin-RevId: 822725527",
          "is_bot": false,
          "headline": "Allow pg.typing.ValueSpec to be used as sub-type annotations.",
          "author_name": "Daiyi Peng",
          "author_login": "daiyip",
          "committed_at": "2025-10-22T20:48:23Z",
          "body_truncated": false,
          "is_coding_agent": false
        },
        {
          "oid": "fb31092f3dfcd76ecab0eaf17628fb3f42e57eb1",
          "body": "… Objects\n\nThis enhancement introduces formal serialization support for pg.Ref, allowing PyGlove to correctly serialize and deserialize objects that share references.\n\nExample:\n```\nclass Foo(pg.Object):\n  x: Any\n\nclass Bar(pg.Object):\n  y: int\n\nfoo = Foo(Bar(1))\nfoo2 = Foo(foo.x)          # foo.x is\n[…]\nhe exact same shared instances.\n\nThis change greatly extends PyGlove's ability to handle complex object structures and common programming patterns involving shared state.\n\nPiperOrigin-RevId: 822584923",
          "is_bot": false,
          "headline": "Formal Serialization for `pg.Ref`: Enhancing PyGlove to Handle Shared…",
          "author_name": "Daiyi Peng",
          "author_login": "daiyip",
          "committed_at": "2025-10-22T14:42:55Z",
          "body_truncated": true,
          "is_coding_agent": false
        },
        {
          "oid": "e732a084ac245bc8c2c2c4e68a3017d4cb772aaf",
          "body": "With this change, `Dict.get()`, `Dict.values()`, `Dict.items()` will evaluate element value if the element is `pg.Inferential`. This also aligns the semantics with `List.__getitem__()` `List.__getattr__` and `List.__iter__()`.\n\nExample:\n```\nclass A(pg.Object):\n pass\n\nd = pg.Dict(x=pg.Ref(A())\nassert\n[…]\n          # Instead of `pg.Ref`\nassert isinstance(list(d.values())[0], A)     # Instead of `pg.Ref`\nassert isinstance(list(d.items())[0][1], A)   # Instead of `pg.Ref`\n```\nPiperOrigin-RevId: 821712306",
          "is_bot": false,
          "headline": "`pg.Dict`: Evaluate inferential value for standard dict operations.",
          "author_name": "Daiyi Peng",
          "author_login": "daiyip",
          "committed_at": "2025-10-20T17:45:58Z",
          "body_truncated": true,
          "is_coding_agent": false
        },
        {
          "oid": "7802e4f1d93693718637894daf097e615fd6d3d9",
          "body": "PiperOrigin-RevId: 821361894",
          "is_bot": false,
          "headline": "No public description",
          "author_name": "PyGlove Authors",
          "author_login": null,
          "committed_at": "2025-10-19T18:20:58Z",
          "body_truncated": false,
          "is_coding_agent": false
        },
        {
          "oid": "650ad917ddc08a43b7247eb821903fd2ef65e3c3",
          "body": "With this change, `Dict.get()`, `Dict.values()`, `Dict.items()` will evaluate element value if the element is `pg.Inferential`. This also aligns the semantics with `List.__getitem__()` `List.__getattr__` and `List.__iter__()`.\n\nExample:\n```\nclass A(pg.Object):\n pass\n\nd = pg.Dict(x=pg.Ref(A())\nassert\n[…]\n          # Instead of `pg.Ref`\nassert isinstance(list(d.values())[0], A)     # Instead of `pg.Ref`\nassert isinstance(list(d.items())[0][1], A)   # Instead of `pg.Ref`\n```\nPiperOrigin-RevId: 821342698",
          "is_bot": false,
          "headline": "`pg.Dict`: Evaluate inferential value for standard dict operations.",
          "author_name": "Daiyi Peng",
          "author_login": "daiyip",
          "committed_at": "2025-10-19T16:33:23Z",
          "body_truncated": true,
          "is_coding_agent": false
        },
        {
          "oid": "ea13a507bbfbdf70c6beb0e2a1900df8145d7365",
          "body": "PiperOrigin-RevId: 820474675",
          "is_bot": false,
          "headline": "`with_contextual_override` to support coroutines.",
          "author_name": "Daiyi Peng",
          "author_login": "daiyip",
          "committed_at": "2025-10-17T01:43:10Z",
          "body_truncated": false,
          "is_coding_agent": false
        },
        {
          "oid": "779e9b1cf2fa8a779693d51cc12d62fe8a51c22c",
          "body": "- `pg.ValueSpec.to_json_schema()` to support default value.\n- Introduce `pg.ValueSpec.from_json_schema()` / `pg.Schema.from_json_schema()` to allow creation of ValueSpec from JSON schema.\n\nPiperOrigin-RevId: 820048200",
          "is_bot": false,
          "headline": "`pg.typing`: Enhancements to JSON schema conversion.",
          "author_name": "Daiyi Peng",
          "author_login": "daiyip",
          "committed_at": "2025-10-16T04:29:39Z",
          "body_truncated": false,
          "is_coding_agent": false
        },
        {
          "oid": "e7c8e81c40a225a8c4f0541acb3a9f936d769d9c",
          "body": "* Counters are metrics that track the number of times an event occurs. It's\nmonotonically increasing over time.\n\n* Scalars are metrics that track a single value at a given time, for example,\navailable memory size. It does not accumulate over time like counters.\n\n* Distributions are metrics that track the distribution of a numerical value.\nFor example, the latency of an operation.\n\nPiperOrigin-RevId: 816976497",
          "is_bot": false,
          "headline": "Formalize monitoring metrics: Counter, Scalar and Distributions.",
          "author_name": "Daiyi Peng",
          "author_login": "daiyip",
          "committed_at": "2025-10-09T03:14:09Z",
          "body_truncated": false,
          "is_coding_agent": false
        },
        {
          "oid": "4a1e8b45a3982a727f9abfbf87a2ef5882ccb055",
          "body": "…duration`.\n\nPiperOrigin-RevId: 814384615",
          "is_bot": false,
          "headline": "[pg.monitoring] Handle empty error with `pg.monitoring.Scalar.record_…",
          "author_name": "Daiyi Peng",
          "author_login": "daiyip",
          "committed_at": "2025-10-02T21:22:12Z",
          "body_truncated": false,
          "is_coding_agent": false
        },
        {
          "oid": "ef07d6af69fcbeb6b983a5a458375326c0344ead",
          "body": "PiperOrigin-RevId: 814368980",
          "is_bot": false,
          "headline": "[pg.monitoring] Scalar.record_duration to optionally track error.",
          "author_name": "Daiyi Peng",
          "author_login": "daiyip",
          "committed_at": "2025-10-02T20:45:17Z",
          "body_truncated": false,
          "is_coding_agent": false
        },
        {
          "oid": "46304868d813ddcce575163a58d9579844f340da",
          "body": "PiperOrigin-RevId: 814064958",
          "is_bot": false,
          "headline": "Add `pg.monitoring.Scalar.record_duration()`.",
          "author_name": "Daiyi Peng",
          "author_login": "daiyip",
          "committed_at": "2025-10-02T05:02:07Z",
          "body_truncated": false,
          "is_coding_agent": false
        },
        {
          "oid": "e9edd54ca5d16218ec264e9636e86136d2e0afc4",
          "body": "…() by providing an empty dict as a fallback.\n\nPiperOrigin-RevId: 813104024",
          "is_bot": false,
          "headline": "This change ensures that hyper_dict is not None before calling .items…",
          "author_name": "PyGlove Authors",
          "author_login": null,
          "committed_at": "2025-09-30T06:11:34Z",
          "body_truncated": false,
          "is_coding_agent": false
        },
        {
          "oid": "5a187bafd52d2cc0843679f977633c2826a92991",
          "body": "…ecution.\n\n```python\ncollection = pg.monitoring.metric_collection('/myapp')\nfoo = collection.get_counter('foo', 'description for foo')\nassert foo.increment() == 1\n\nbar = collection.get_scalar('bar', 'description for bar', parameters={'module': str})\nbar.record(10, module='module1')\nassert bar.distribution(module='module1').mean == 10.0\n```\nPiperOrigin-RevId: 811946930",
          "is_bot": false,
          "headline": "Introduce `pg.monitoring`: MetricCollection for monitoring program ex…",
          "author_name": "Daiyi Peng",
          "author_login": "daiyip",
          "committed_at": "2025-09-26T21:01:11Z",
          "body_truncated": false,
          "is_coding_agent": false
        },
        {
          "oid": "a4c17fe82eeee8bb84fa4d37484a0c51292f4396",
          "body": "This allows user to redirect loggers to custom IOs.\n\nPiperOrigin-RevId: 811115465",
          "is_bot": false,
          "headline": "Introduce `pg.logging.use_stream`.",
          "author_name": "Daiyi Peng",
          "author_login": "daiyip",
          "committed_at": "2025-09-25T01:18:17Z",
          "body_truncated": false,
          "is_coding_agent": false
        },
        {
          "oid": "c6819c42469f36e31eab2ff09d3f18c3dd33c8d1",
          "body": "PiperOrigin-RevId: 805921677",
          "is_bot": false,
          "headline": "Extract `pg.match_error` from `pg.catch_errors`.",
          "author_name": "Daiyi Peng",
          "author_login": "daiyip",
          "committed_at": "2025-09-11T18:34:36Z",
          "body_truncated": false,
          "is_coding_agent": false
        },
        {
          "oid": "c080ff49620cd427c7230fa5e9bdd24cb9582e55",
          "body": "PiperOrigin-RevId: 786880724",
          "is_bot": false,
          "headline": "`JsonConvertible.add_module_alias` to support multiple aliases",
          "author_name": "Daiyi Peng",
          "author_login": "daiyip",
          "committed_at": "2025-07-24T23:47:52Z",
          "body_truncated": false,
          "is_coding_agent": false
        },
        {
          "oid": "5f38cad20384fdcc6eb848284e82e6934e2f1aaa",
          "body": "PiperOrigin-RevId: 783503779",
          "is_bot": false,
          "headline": "Merge pull request #372 from google:daiyip-patch-1",
          "author_name": "pyglove authors",
          "author_login": null,
          "committed_at": "2025-07-15T22:58:38Z",
          "body_truncated": false,
          "is_coding_agent": false
        },
        {
          "oid": "0f4c7f73dd41c9c814b94f0c374db1a30efc65e5",
          "body": null,
          "is_bot": false,
          "headline": "Bump PyGlove dev version to 0.5.0",
          "author_name": "Daiyi Peng",
          "author_login": "daiyip",
          "committed_at": "2025-07-15T19:11:10Z",
          "body_truncated": false,
          "is_coding_agent": false
        },
        {
          "oid": "d655ea0f60c22add8a43fe3024ce1801bdc27e78",
          "body": "PiperOrigin-RevId: 782393896",
          "is_bot": false,
          "headline": "Python 3.13 Support.",
          "author_name": "Daiyi Peng",
          "author_login": "daiyip",
          "committed_at": "2025-07-12T20:43:34Z",
          "body_truncated": false,
          "is_coding_agent": false
        },
        {
          "oid": "4809eb5314420d1969c7528b43ac80a304fa9c92",
          "body": null,
          "is_bot": false,
          "headline": "Python 3.13 support",
          "author_name": "Daiyi Peng",
          "author_login": "daiyip",
          "committed_at": "2025-07-12T17:33:49Z",
          "body_truncated": false,
          "is_coding_agent": false
        },
        {
          "oid": "976ecbfb2800d7119ef835feec8c37a00ac05419",
          "body": "…ues=True`.\n\n`np.ndarray == <number>` will return a `np.ndarray` which does not evaluate to a bool value. By putting `field.default_value` on the left, the `__eq__` method of `field.default_value` will take higher priority than `np.ndarray.__eq__`.\n\nPiperOrigin-RevId: 761832755",
          "is_bot": false,
          "headline": "Make `pg.to_json` compatible with `np.ndarray` with `hide_default_val…",
          "author_name": "Daiyi Peng",
          "author_login": "daiyip",
          "committed_at": "2025-05-22T07:08:59Z",
          "body_truncated": false,
          "is_coding_agent": false
        },
        {
          "oid": "e55ea669df8dce6b2fdb1f92494da1ca080b7445",
          "body": "PiperOrigin-RevId: 759654174",
          "is_bot": false,
          "headline": "Expose `pg.ErrorInfo`.",
          "author_name": "Daiyi Peng",
          "author_login": "daiyip",
          "committed_at": "2025-05-16T16:57:29Z",
          "body_truncated": false,
          "is_coding_agent": false
        },
        {
          "oid": "28c9b51d35d4390ae68e0487d6428e7754d32272",
          "body": "Previous pg.utils.ErrorInfo is not HTML friendly. To fix this issue, we introduce\nsymbolic ErrorInfo class. Besides HTML support, it inherits all the benefits of PyGlove objects, e.g. automatic serialization support, flexible formatting, symbolic traversal etc.\n\nThis CL also fix pytype errors for python files under docs.\n\nPiperOrigin-RevId: 759385485",
          "is_bot": false,
          "headline": "Introduce symbolic ErrorInfo.",
          "author_name": "Daiyi Peng",
          "author_login": "daiyip",
          "committed_at": "2025-05-16T01:23:40Z",
          "body_truncated": false,
          "is_coding_agent": false
        },
        {
          "oid": "f7390c120b0c173ee73c97c239c7668def226723",
          "body": "```python\nclass Foo(metadata=abc.ABCMeta):\n  @property\n  @abc.abstractmethod\n  def bar(self):\n    pass\n\nclass Bar(pg.Object, Foo):\n  # `bar` will introduce property `bar` that overrides the abstract `Foo.bar`.\n  bar: int\n\nassert Bar(1).bar == 1\n```\n\nPiperOrigin-RevId: 759224544",
          "is_bot": false,
          "headline": "Allow symbolic attribute to override abstract properties.",
          "author_name": "Daiyi Peng",
          "author_login": "daiyip",
          "committed_at": "2025-05-15T18:18:01Z",
          "body_truncated": false,
          "is_coding_agent": false
        },
        {
          "oid": "9018f2589b4ef861a02100bb03b67e07187e5509",
          "body": "```python\nclass A(pg.Object):\n  x: int\n  y: str\n\n# Schema to JSON schema.\nA.__schema__.to_json_schema()\n\n# ValueSpec to JSON schema.\nA.__schema__['x'].value.to_json_schema()\n```\n\nPiperOrigin-RevId: 754047380",
          "is_bot": false,
          "headline": "Add PyGlove schema to JSON Schema conversion.",
          "author_name": "Daiyi Peng",
          "author_login": "daiyip",
          "committed_at": "2025-05-02T17:16:06Z",
          "body_truncated": false,
          "is_coding_agent": false
        },
        {
          "oid": "d1f94c9120ce50db9180f618bfbaf44a6c72a86e",
          "body": "To make composition of child HTML elements easier, we make\n1. Html.element to support nestable list of child elements.\n2. LabelGroup to support nestable list of Labels that contains None.\n3. TabControl to support nestable list of Tabs that contains None. `select` supports name and name list.\n\nPiperOrigin-RevId: 752953428",
          "is_bot": false,
          "headline": "Enhancement to PyGlove HTML controls.",
          "author_name": "Daiyi Peng",
          "author_login": "daiyip",
          "committed_at": "2025-04-30T01:03:02Z",
          "body_truncated": false,
          "is_coding_agent": false
        },
        {
          "oid": "cb9964e8651f363a93273dde0d1a1769ddca9f58",
          "body": "Allow passing `is_noneable` and `use_none_as_default` arguments. We also unset the default value for Union converted from annotation without default value.\n\nPiperOrigin-RevId: 752777826",
          "is_bot": false,
          "headline": "Enhancing `pg.typing.ValueSpec.noneable()`",
          "author_name": "Daiyi Peng",
          "author_login": "daiyip",
          "committed_at": "2025-04-29T16:59:07Z",
          "body_truncated": false,
          "is_coding_agent": false
        },
        {
          "oid": "4b9c25fb57b76a1669cec783dca343e77fb37f05",
          "body": "PiperOrigin-RevId: 752414465",
          "is_bot": false,
          "headline": "Automated Code Change",
          "author_name": "Hana Joo",
          "author_login": "h-joo",
          "committed_at": "2025-04-28T19:55:38Z",
          "body_truncated": false,
          "is_coding_agent": false
        },
        {
          "oid": "9c0086afd0220248732973ed485749f3a70fde46",
          "body": "…pers.\n\nPiperOrigin-RevId: 751851424",
          "is_bot": false,
          "headline": "Add `pg.logging.register_frame_to_skip` to better support logger wrap…",
          "author_name": "Daiyi Peng",
          "author_login": "daiyip",
          "committed_at": "2025-04-26T23:04:13Z",
          "body_truncated": false,
          "is_coding_agent": false
        },
        {
          "oid": "5f0aa14a8fa3e83d09cf605687f51150bea87dba",
          "body": "Allow passing `is_noneable` and `use_none_as_default` arguments. We also unset the default value for Union converted from annotation without default value.\n\nPiperOrigin-RevId: 750812311",
          "is_bot": false,
          "headline": "Enhancing `pg.typing.ValueSpec.noneable()`",
          "author_name": "Joe Richey",
          "author_login": "josephlr",
          "committed_at": "2025-04-24T02:31:01Z",
          "body_truncated": false,
          "is_coding_agent": false
        },
        {
          "oid": "9209f971c82736d5e569a933a4410dc8a4bbc121",
          "body": "Allow passing `is_noneable` and `use_none_as_default` arguments. We also unset the default value for Union converted from annotation without default value.\n\nPiperOrigin-RevId: 750779137",
          "is_bot": false,
          "headline": "Enhancing `pg.typing.ValueSpec.noneable()`",
          "author_name": "Daiyi Peng",
          "author_login": "daiyip",
          "committed_at": "2025-04-24T00:24:21Z",
          "body_truncated": false,
          "is_coding_agent": false
        },
        {
          "oid": "29591ea564770b0080fb12aae15b6c4c60571fb9",
          "body": "Also `pg.print` now supports variable positional arguments.\n\nPiperOrigin-RevId: 750352628",
          "is_bot": false,
          "headline": "`pg.format` to handle recursive structures.",
          "author_name": "Daiyi Peng",
          "author_login": "daiyip",
          "committed_at": "2025-04-22T22:44:05Z",
          "body_truncated": false,
          "is_coding_agent": false
        },
        {
          "oid": "b3ad22583c65e630a5dfb8ff524789e91e19ced4",
          "body": "This allows exceptions like SystemExit to be caught from bad code.\n\nPiperOrigin-RevId: 749911071",
          "is_bot": false,
          "headline": "Catch BaseException for pg.coding.evaluate.",
          "author_name": "Daiyi Peng",
          "author_login": "daiyip",
          "committed_at": "2025-04-21T21:02:45Z",
          "body_truncated": false,
          "is_coding_agent": false
        },
        {
          "oid": "86aad872fc60c8c16ee64e8b8e414e0e6c68b3f2",
          "body": "PiperOrigin-RevId: 740822511",
          "is_bot": false,
          "headline": "Internal change.",
          "author_name": "Daiyi Peng",
          "author_login": "daiyip",
          "committed_at": "2025-03-26T17:37:04Z",
          "body_truncated": false,
          "is_coding_agent": false
        },
        {
          "oid": "fd75005974e56fd64e446633832afc949e7bef90",
          "body": "PiperOrigin-RevId: 739010067",
          "is_bot": false,
          "headline": "Set the default file/sequence permissions to world readable.",
          "author_name": "Daiyi Peng",
          "author_login": "daiyip",
          "committed_at": "2025-03-21T01:39:09Z",
          "body_truncated": false,
          "is_coding_agent": false
        },
        {
          "oid": "2e8981da77f89b8743659998b0a7336fa54d91f8",
          "body": "… default.\n\nPiperOrigin-RevId: 736539531",
          "is_bot": false,
          "headline": "Set the default value of arg `exist_ok` for `pg.io.mkdirs` to True by…",
          "author_name": "Daiyi Peng",
          "author_login": "daiyip",
          "committed_at": "2025-03-13T16:50:06Z",
          "body_truncated": false,
          "is_coding_agent": false
        },
        {
          "oid": "65c7e520cb8aa0ca5c8bf7d7f1cc9ab72123d5b2",
          "body": "PiperOrigin-RevId: 723558958",
          "is_bot": false,
          "headline": "Improve annotation inference to be compatible with module reloading.",
          "author_name": "Daiyi Peng",
          "author_login": "daiyip",
          "committed_at": "2025-02-05T18:17:58Z",
          "body_truncated": false,
          "is_coding_agent": false
        },
        {
          "oid": "97d6446a2dea91c67f5f39335e0509573ccb8cdd",
          "body": "With this CL, PyGlove is compatible with `__future__.annotations`.\nFor example:\n\n```python\nfrom __future__ import annotations\n\nclass A(pg.Object):\n  child: A | None\n```\n\nPiperOrigin-RevId: 723114026",
          "is_bot": false,
          "headline": "pg.typing to support `__future__.annotations`.",
          "author_name": "Daiyi Peng",
          "author_login": "daiyip",
          "committed_at": "2025-02-04T17:20:26Z",
          "body_truncated": false,
          "is_coding_agent": false
        },
        {
          "oid": "50d8a38b0328222c2570c95c93caf934b7354966",
          "body": "Protocol is a special base class, which cannot be tested via `issubclass` and `isinstance` (without @typing.runtime_checkable). Before this change, PyGlove does not treat Protocol subclasses correctly for typing. This CL fixes this by:\n1) pg.typing.is_subclass(cls, protocol_cls) always returns True \n[…]\n\nclass Foo(Protocol):\n  def __call__(self) -> int:\n    ...\n\nclass A(pg.Object):\n  foo: Foo\n\nclass Bar:\n  def __call__(self) -> int:\n   return 0\n\nA(Bar()) # Will work.\n```\n\nPiperOrigin-RevId: 722370929",
          "is_bot": false,
          "headline": "`pg.typing` to support Protocol subclassses.",
          "author_name": "Daiyi Peng",
          "author_login": "daiyip",
          "committed_at": "2025-02-02T17:32:25Z",
          "body_truncated": true,
          "is_coding_agent": false
        },
        {
          "oid": "c8c5d1ca9e5a750ed828b07c0668bc56da30dd94",
          "body": "… at the last expression.\n\nPiperOrigin-RevId: 721812914",
          "is_bot": false,
          "headline": "`pg.coding.evaluate`: Fix raise when attribute assignment takes place…",
          "author_name": "Daiyi Peng",
          "author_login": "daiyip",
          "committed_at": "2025-01-31T18:09:20Z",
          "body_truncated": false,
          "is_coding_agent": false
        },
        {
          "oid": "ddeb5932ba0c26cdc58e76f99800726bf644f974",
          "body": "PiperOrigin-RevId: 718981795",
          "is_bot": false,
          "headline": "Fix stuck multiprocessing sandbox on large STDOUT.",
          "author_name": "Daiyi Peng",
          "author_login": "daiyip",
          "committed_at": "2025-01-23T21:00:47Z",
          "body_truncated": false,
          "is_coding_agent": false
        },
        {
          "oid": "d31a11938dabb9f518cf41986e9d3e469b6161f7",
          "body": "PiperOrigin-RevId: 716236530",
          "is_bot": false,
          "headline": "cleanup of deprecated test methods",
          "author_name": "PyGlove Authors",
          "author_login": null,
          "committed_at": "2025-01-16T15:59:01Z",
          "body_truncated": false,
          "is_coding_agent": false
        },
        {
          "oid": "063caf94dd80587954d9206126e382760ace7d34",
          "body": "…narios.\n\n```\nclass A(pg.Object):\n  x: str\n\n  def foo(self):\n    return 1\n\nclass B(A):\n  pass\n\nclass C(pg.Object):\n  x: Literal['a', 'b']\n\n  def foo(self):\n    return 2\n\nclass D(B, C):\n  pass\n\n# D.foo will be C.foo.\n# Like-wise, D.x shall be Literal['a', 'b'] as B doesn't override A.x.\n# Before this CL D.x is str (B takes precedence of C in multi-inheritance order).\n```\n\nPiperOrigin-RevId: 716220803",
          "is_bot": false,
          "headline": "Fix symbolic attribute inheritance behavior for multi-inheritance sce…",
          "author_name": "Daiyi Peng",
          "author_login": "daiyip",
          "committed_at": "2025-01-16T15:03:50Z",
          "body_truncated": false,
          "is_coding_agent": false
        },
        {
          "oid": "ba91fc783b079bc8fb783256a00d6c3bf0a7c670",
          "body": "Contextual objects are objects whose attribute values could be manipulated by context manager `pg.contextual_override` and/or accessed from parent objects via `pg.contextual_attribute` placeholder.\n\nExample:\n\n```\nclass A(pg.ContextualObject):\n  x: int\n  y: Any = pg.contextual_attribute()\n\na = A(1)\nprint(a.x) # 1\nwith pg.contextual_override(x=2):\n  print(a.x) # 2\nprint(a.x) #1\n\npg.Dict(y=3, a=a)\nprint(a.y) # 3. (Accessing parent's y)\n```\n\nPiperOrigin-RevId: 716013142",
          "is_bot": false,
          "headline": "Introduce `pg.ContextualObject`.",
          "author_name": "Daiyi Peng",
          "author_login": "daiyip",
          "committed_at": "2025-01-16T01:35:43Z",
          "body_truncated": false,
          "is_coding_agent": false
        },
        {
          "oid": "264cfa133d400aeb3b6df548f8df6b317d0565d8",
          "body": "With this change, the following code is valid, and the reported elapsed time for the 'task' status will be aggregated accordingly.\n\n```\n  with pg.timeit() as t:\n    with pg.timeit('task'):\n      time.sleep(1)\n    time.sleep(1)\n    with pg.timeit('task'):\n      time.sleep(1)\n  print(t.status()['task'].elapse)\n  # Will print a number around 2.\n```\n\nPiperOrigin-RevId: 715540752",
          "is_bot": false,
          "headline": "`pg.time` now supports aggregating sub-timers with the same name.",
          "author_name": "Daiyi Peng",
          "author_login": "daiyip",
          "committed_at": "2025-01-14T22:53:02Z",
          "body_truncated": false,
          "is_coding_agent": false
        },
        {
          "oid": "20cf7607bb2bdb1edc8c51a039d3461a09ca7c8e",
          "body": "PiperOrigin-RevId: 715083241",
          "is_bot": false,
          "headline": "Expose `lf.coding.permission` and `lf.coding.maybe_sandbox_call`.",
          "author_name": "Daiyi Peng",
          "author_login": "daiyip",
          "committed_at": "2025-01-13T21:16:04Z",
          "body_truncated": false,
          "is_coding_agent": false
        },
        {
          "oid": "faca119a9c80361e8bbe4c0d91d23ddd4a3f8572",
          "body": "PiperOrigin-RevId: 713385689",
          "is_bot": false,
          "headline": "Expose `pg.colored` and `pg.decolor` from the root module.",
          "author_name": "Daiyi Peng",
          "author_login": "daiyip",
          "committed_at": "2025-01-08T20:52:21Z",
          "body_truncated": false,
          "is_coding_agent": false
        },
        {
          "oid": "23ca0c221051622a9f95d2c95e5988c8e2443473",
          "body": "…ontrol.\n\nPiperOrigin-RevId: 713290439",
          "is_bot": false,
          "headline": "`pg.coding`: Add support for Python code evaluation with permission c…",
          "author_name": "Daiyi Peng",
          "author_login": "daiyip",
          "committed_at": "2025-01-08T15:52:22Z",
          "body_truncated": false,
          "is_coding_agent": false
        },
        {
          "oid": "1125d6dc869ac64820954bdc0bd98d81ca1b5f4b",
          "body": "PiperOrigin-RevId: 713009923",
          "is_bot": false,
          "headline": "Add `pg.utils.text_color` submodule.",
          "author_name": "Daiyi Peng",
          "author_login": "daiyip",
          "committed_at": "2025-01-07T20:50:46Z",
          "body_truncated": false,
          "is_coding_agent": false
        },
        {
          "oid": "f3f06ae0b764419843cbd2e49db7ca2db0eabac0",
          "body": "Currently this sub-module has been expanded with utilities beyond dealing with objects. This rename allows better organization of code.\n\n`pg.object_utils` is kept as an alias to `pg.utils` for backward-compatibility.\n\nPiperOrigin-RevId: 712329689",
          "is_bot": false,
          "headline": "Rename `pg.object_utils` sub-module to `pg.utils`.",
          "author_name": "Daiyi Peng",
          "author_login": "daiyip",
          "committed_at": "2025-01-06T00:00:48Z",
          "body_truncated": false,
          "is_coding_agent": false
        },
        {
          "oid": "a4e5373717e2ace65a9880de4ef2609b72f4f90f",
          "body": "Move `make_function` from `pg.object_utils` to `pg.coding`.\n\nPiperOrigin-RevId: 711543408",
          "is_bot": false,
          "headline": "Introduce `pg.coding` sub-module.",
          "author_name": "Daiyi Peng",
          "author_login": "daiyip",
          "committed_at": "2025-01-02T23:50:38Z",
          "body_truncated": false,
          "is_coding_agent": false
        },
        {
          "oid": "feb3d56ac1ffa6a8f89c439e46b043cab55ea95c",
          "body": "PiperOrigin-RevId: 708384259",
          "is_bot": false,
          "headline": "Retire `pg.Object.schema` and `pg.Object.type_name`.",
          "author_name": "Daiyi Peng",
          "author_login": "daiyip",
          "committed_at": "2024-12-20T19:46:01Z",
          "body_truncated": false,
          "is_coding_agent": false
        },
        {
          "oid": "005ec584be43146d0306dfbaa72b4fb1ce451080",
          "body": "- Support using `typing.ClassVar` to annotate class-level attributes.\n- Support using `typing.Final` to annotate frozen field.\n- Support using `pg.Ref[Type]` for automatic conversion of symbolic object to `pg.Ref` object.\n- Add `pg.typing.ValueSpec.__call__` as a shortcut to instantiate values of the spec, so `pg.typing.ValueSpec` could be used as types.\n\nPiperOrigin-RevId: 706239534",
          "is_bot": false,
          "headline": "Enhancements to PyGlove's typing system.",
          "author_name": "Daiyi Peng",
          "author_login": "daiyip",
          "committed_at": "2024-12-14T17:37:28Z",
          "body_truncated": false,
          "is_coding_agent": false
        },
        {
          "oid": "120e8bd6533b51181b29254fa26fb91d0a376394",
          "body": "This CL also allows serializing/deserializing dict of int keys through `pg.to_json_str` and `pg.from_json_str`.\n\nPiperOrigin-RevId: 706121854",
          "is_bot": false,
          "headline": "pg.Dict to support int keys.",
          "author_name": "Daiyi Peng",
          "author_login": "daiyip",
          "committed_at": "2024-12-14T06:43:27Z",
          "body_truncated": false,
          "is_coding_agent": false
        },
        {
          "oid": "31153b10190ad9f962f152b239e7bf7ea2869f6d",
          "body": "This CL also allows serializing/deserializing dict of int keys through `pg.to_json_str` and `pg.from_json_str`.\n\nPiperOrigin-RevId: 705925836",
          "is_bot": false,
          "headline": "pg.Dict to support int keys.",
          "author_name": "Yifeng Lu",
          "author_login": "yifenglou",
          "committed_at": "2024-12-13T18:27:37Z",
          "body_truncated": false,
          "is_coding_agent": false
        },
        {
          "oid": "06a636328dc356ee88893d3d093f13f454e7e3c5",
          "body": "This CL also allows serializing/deserializing dict of int keys through `pg.to_json_str` and `pg.from_json_str`.\n\nPiperOrigin-RevId: 705885077",
          "is_bot": false,
          "headline": "pg.Dict to support int keys.",
          "author_name": "Daiyi Peng",
          "author_login": "daiyip",
          "committed_at": "2024-12-13T16:02:10Z",
          "body_truncated": false,
          "is_coding_agent": false
        },
        {
          "oid": "212ce7def611f1707173b51e6a66a5c6df49f8d2",
          "body": "PiperOrigin-RevId: 705357818",
          "is_bot": false,
          "headline": "Add \"View PyGlove Objects in HTML\" notebook in examples.",
          "author_name": "Daiyi Peng",
          "author_login": "daiyip",
          "committed_at": "2024-12-12T05:32:58Z",
          "body_truncated": false,
          "is_coding_agent": false
        },
        {
          "oid": "fcb53ebafd539e412ae0e6c730b8cf754e65108f",
          "body": "* `pg.views.html.controls.Label`:\n  - Use `<span>` for labels without links, so it better supports nesting.\n* `pg.views.html.controls.TabControl`:\n  - Add an optional 'name' to `Tab` so we could select that tab by name.\n  - Add `insert` method.\n  - Add `select` method.\n\nPiperOrigin-RevId: 705147063",
          "is_bot": false,
          "headline": "Enhance HTML controls.",
          "author_name": "Daiyi Peng",
          "author_login": "daiyip",
          "committed_at": "2024-12-11T18:10:05Z",
          "body_truncated": false,
          "is_coding_agent": false
        },
        {
          "oid": "7b06665b00103338f5163af48f05ccc7969812af",
          "body": "PiperOrigin-RevId: 704729105",
          "is_bot": false,
          "headline": "Tune CSS for Tab control.",
          "author_name": "Daiyi Peng",
          "author_login": "daiyip",
          "committed_at": "2024-12-10T16:56:26Z",
          "body_truncated": false,
          "is_coding_agent": false
        },
        {
          "oid": "6e0ff933d1e826d9553b084bed0c2a83c124c5d3",
          "body": "* `lf.views.html.controls.Control`: supports HTML/CSS injection with javascript.\n* `lf.views.html.controls.Label`: supports dynamic update of CSS classes.\n* `lf.views.html.controls.TabControl`:\n  - Supports `css_classes`\n  - Allow dynamic addition of new tabs.\n  - Avoid \"float: left\" for vertical tabs.\n  - Upgraded UI.\n\nPiperOrigin-RevId: 704409321",
          "is_bot": false,
          "headline": "Enhancements to HTML controls.",
          "author_name": "Daiyi Peng",
          "author_login": "daiyip",
          "committed_at": "2024-12-09T22:03:43Z",
          "body_truncated": false,
          "is_coding_agent": false
        },
        {
          "oid": "0adebc9aac237d5e22b87d1317e0df3fce7bb86c",
          "body": "For example, previously Foo(x={'a.x': 1}) will be serialized as `Foo(x={'a': {'x': 1}}`, which is not intended. This is due to `object_utils.merge` tries to unflatten keys with '.' and '[]'.\n\nPiperOrigin-RevId: 696248561",
          "is_bot": false,
          "headline": "Fix serialization of `pg.Object` with child dict with non-standard keys.",
          "author_name": "Daiyi Peng",
          "author_login": "daiyip",
          "committed_at": "2024-11-13T21:21:46Z",
          "body_truncated": false,
          "is_coding_agent": false
        },
        {
          "oid": "016992e089261bd0b466eb4384edffcf766db5c9",
          "body": "PiperOrigin-RevId: 696225509",
          "is_bot": false,
          "headline": "Allow serialization of `pg.Ref` with `pg.to_json()`.",
          "author_name": "Daiyi Peng",
          "author_login": "daiyip",
          "committed_at": "2024-11-13T20:11:55Z",
          "body_truncated": false,
          "is_coding_agent": false
        },
        {
          "oid": "dc26ae1e491935a6461d205a380bef7c9e7a32dc",
          "body": "PiperOrigin-RevId: 696216964",
          "is_bot": false,
          "headline": "Better handle `pg.Symbolic.sym_nondefaults` on dicts without schema.",
          "author_name": "Daiyi Peng",
          "author_login": "daiyip",
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                "name": "Documentation directory",
                "detail": null,
                "points": 25,
                "status": "met",
                "details": [],
                "max_points": 25
              },
              {
                "key": "documentation_homepage_site",
                "name": "Documentation / homepage site",
                "detail": null,
                "points": 0,
                "status": "missed",
                "details": [],
                "max_points": 15
              },
              {
                "key": "repository_description",
                "name": "Repository description",
                "detail": null,
                "points": 10,
                "status": "met",
                "details": [],
                "max_points": 10
              },
              {
                "key": "topics",
                "name": "Topics",
                "detail": "8 topics",
                "points": 10,
                "status": "met",
                "details": [
                  {
                    "code": "topics_count",
                    "params": {
                      "count": 8
                    }
                  }
                ],
                "max_points": 10
              },
              {
                "key": "wiki",
                "name": "Wiki",
                "detail": null,
                "points": 0,
                "status": "missed",
                "details": [],
                "max_points": 10
              }
            ]
          }
        ],
        "description": "Are baseline engineering and documentation practices in place?"
      },
      {
        "key": "security",
        "band": "moderate",
        "name": "Security",
        "value": 67,
        "weight": 0.16,
        "metrics": [
          {
            "key": "security_posture",
            "band": "moderate",
            "name": "Security posture",
            "note": "Excluded from scoring (no data or not applicable): Branch-Protection, Packaging, Signed-Releases. Remaining weights renormalized.",
            "notes": [
              {
                "code": "excluded_no_data",
                "params": {
                  "components": [
                    "branch_protection",
                    "packaging",
                    "signed_releases"
                  ]
                }
              },
              {
                "code": "weights_renormalized",
                "params": {}
              }
            ],
            "value": 59,
            "inputs": {
              "source": "openssf_scorecard",
              "checks_evaluated": 15,
              "scorecard_version": "v5.5.0",
              "checks_inconclusive": 3,
              "scorecard_aggregate": 5.9
            },
            "components": [
              {
                "key": "binary_artifacts",
                "name": "Binary-Artifacts",
                "detail": "no binaries found in the repo",
                "points": 7.5,
                "status": "met",
                "details": [],
                "max_points": 7.5
              },
              {
                "key": "branch_protection",
                "name": "Branch-Protection",
                "detail": "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",
                "points": 0,
                "status": "excluded",
                "details": [
                  {
                    "code": "no_data",
                    "params": {}
                  }
                ],
                "max_points": 7.5
              },
              {
                "key": "ci_tests",
                "name": "CI-Tests",
                "detail": "20 out of 20 merged PRs checked by a CI test -- score normalized to 10",
                "points": 2.5,
                "status": "met",
                "details": [],
                "max_points": 2.5
              },
              {
                "key": "cii_best_practices",
                "name": "CII-Best-Practices",
                "detail": "no effort to earn an OpenSSF best practices badge detected",
                "points": 0,
                "status": "missed",
                "details": [],
                "max_points": 2.5
              },
              {
                "key": "code_review",
                "name": "Code-Review",
                "detail": "Found 9/30 approved changesets -- score normalized to 3",
                "points": 2.2,
                "status": "partial",
                "details": [],
                "max_points": 7.5
              },
              {
                "key": "contributors",
                "name": "Contributors",
                "detail": "project has 1 contributing companies or organizations -- score normalized to 3",
                "points": 0.8,
                "status": "partial",
                "details": [],
                "max_points": 2.5
              },
              {
                "key": "dangerous_workflow",
                "name": "Dangerous-Workflow",
                "detail": "no dangerous workflow patterns detected",
                "points": 10,
                "status": "met",
                "details": [],
                "max_points": 10
              },
              {
                "key": "dependency_update_tool",
                "name": "Dependency-Update-Tool",
                "detail": "no update tool detected",
                "points": 0,
                "status": "missed",
                "details": [],
                "max_points": 7.5
              },
              {
                "key": "fuzzing",
                "name": "Fuzzing",
                "detail": "project is not fuzzed",
                "points": 0,
                "status": "missed",
                "details": [],
                "max_points": 5
              },
              {
                "key": "license",
                "name": "License",
                "detail": "license file detected",
                "points": 2.5,
                "status": "met",
                "details": [],
                "max_points": 2.5
              },
              {
                "key": "maintained",
                "name": "Maintained",
                "detail": "11 commit(s) and 0 issue activity found in the last 90 days -- score normalized to 9",
                "points": 6.8,
                "status": "partial",
                "details": [],
                "max_points": 7.5
              },
              {
                "key": "packaging",
                "name": "Packaging",
                "detail": "packaging workflow not detected",
                "points": 0,
                "status": "excluded",
                "details": [
                  {
                    "code": "no_data",
                    "params": {}
                  }
                ],
                "max_points": 5
              },
              {
                "key": "pinned_dependencies",
                "name": "Pinned-Dependencies",
                "detail": "dependency not pinned by hash detected -- score normalized to 0",
                "points": 0,
                "status": "missed",
                "details": [],
                "max_points": 5
              },
              {
                "key": "sast",
                "name": "SAST",
                "detail": "SAST tool is run on all commits",
                "points": 5,
                "status": "met",
                "details": [],
                "max_points": 5
              },
              {
                "key": "security_policy",
                "name": "Security-Policy",
                "detail": "security policy file detected",
                "points": 5,
                "status": "met",
                "details": [],
                "max_points": 5
              },
              {
                "key": "signed_releases",
                "name": "Signed-Releases",
                "detail": "no releases found",
                "points": 0,
                "status": "excluded",
                "details": [
                  {
                    "code": "no_data",
                    "params": {}
                  }
                ],
                "max_points": 7.5
              },
              {
                "key": "token_permissions",
                "name": "Token-Permissions",
                "detail": "detected GitHub workflow tokens with excessive permissions",
                "points": 0,
                "status": "missed",
                "details": [],
                "max_points": 7.5
              },
              {
                "key": "vulnerabilities",
                "name": "Vulnerabilities",
                "detail": "0 existing vulnerabilities detected",
                "points": 7.5,
                "status": "met",
                "details": [],
                "max_points": 7.5
              }
            ]
          },
          {
            "key": "dependency_advisories",
            "band": "excellent",
            "name": "Dependency advisories",
            "note": "Excluded from scoring (no data or not applicable): No advisories left outstanding. Remaining weights renormalized. Matched the pypi:pyglove@0.4.5 runtime dependency closure — what installing the published package pulls in — 2 packages. Reachability is not analyzed.",
            "notes": [
              {
                "code": "excluded_no_data",
                "params": {
                  "components": [
                    "no_advisories_left_outstanding"
                  ]
                }
              },
              {
                "code": "weights_renormalized",
                "params": {}
              },
              {
                "code": "advisories_scope_published",
                "params": {
                  "package": "pypi:pyglove@0.4.5",
                  "assessed": 2
                }
              },
              {
                "code": "advisories_reachability",
                "params": {}
              }
            ],
            "value": 100,
            "inputs": {
              "source": "osv",
              "advisories": 0,
              "affected_packages": 0,
              "assessed_packages": 2,
              "unassessed_packages": 0,
              "affected_by_severity": "none",
              "direct_affected_packages": 0
            },
            "components": [
              {
                "key": "direct_dependencies_free_of_known_advisories",
                "name": "Direct dependencies free of known advisories",
                "detail": "no direct dependency carries a known advisory",
                "points": 35,
                "status": "met",
                "details": [
                  {
                    "code": "no_direct_advisories",
                    "params": {}
                  }
                ],
                "max_points": 35
              },
              {
                "key": "indirect_dependencies_free_of_known_advisories",
                "name": "Indirect dependencies free of known advisories",
                "detail": "no indirect dependency carries a known advisory",
                "points": 25,
                "status": "met",
                "details": [
                  {
                    "code": "no_indirect_advisories",
                    "params": {}
                  }
                ],
                "max_points": 25
              },
              {
                "key": "no_advisories_left_outstanding",
                "name": "No advisories left outstanding",
                "detail": "no advisory carries a publication date",
                "points": 0,
                "status": "excluded",
                "details": [
                  {
                    "code": "advisories_no_publication_date",
                    "params": {}
                  }
                ],
                "max_points": 40
              }
            ]
          },
          {
            "key": "malicious_dependencies",
            "band": "excellent",
            "name": "Malicious dependencies",
            "note": null,
            "notes": [],
            "value": 100,
            "inputs": {
              "source": "osv",
              "meaning": "reported as a malicious package by the OpenSSF corpus; the remedy is removal or moving off the compromised name, never an upgrade of the same artifact. Versions the registry has since pulled are listed but not scored",
              "packages": [],
              "red_flag": false,
              "assessed_packages": 2,
              "malicious_packages": 0,
              "direct_malicious_packages": 0,
              "withdrawn_malicious_packages": 0,
              "installable_malicious_packages": 0
            },
            "components": [
              {
                "key": "no_dependency_reported_as_a_malicious_package",
                "name": "No dependency reported as a malicious package",
                "detail": "no dependency is reported as a malicious package",
                "points": 100,
                "status": "met",
                "details": [
                  {
                    "code": "no_malicious_dependencies",
                    "params": {}
                  }
                ],
                "max_points": 100
              }
            ]
          },
          {
            "key": "high_risk_jurisdiction_exposure",
            "band": "excellent",
            "name": "High-Risk Jurisdiction Exposure",
            "note": "Only high-confidence self-published location evidence affects this multiplier. Ambiguous matches are review-only; country evidence is not proof of nationality, citizenship, legal registration, malicious intent, or sanctions status.",
            "notes": [
              {
                "code": "jurisdiction_evidence_limits",
                "params": {}
              }
            ],
            "value": 100,
            "inputs": {
              "meaning": "self-published location evidence; not nationality or citizenship",
              "red_flag": false,
              "exposures": [],
              "policy_countries": [
                "Russia",
                "Iran",
                "North Korea"
              ],
              "review_only_matches": 0,
              "assessed_self_published_locations": 6
            },
            "components": [
              {
                "key": "policy_exposure_multiplier",
                "name": "Policy exposure multiplier",
                "detail": "no confirmed policy-scope location match",
                "points": 100,
                "status": "met",
                "details": [
                  {
                    "code": "jurisdiction_no_match",
                    "params": {}
                  }
                ],
                "max_points": 100
              }
            ]
          }
        ],
        "description": "Are visible security and supply-chain practices strong, with no malicious dependency and no unresolved high-risk jurisdiction exposure?"
      },
      {
        "key": "ai_readiness",
        "band": "at_risk",
        "name": "AI Readiness",
        "value": 30,
        "weight": 0,
        "metrics": [
          {
            "key": "ai_agent_context",
            "band": "critical",
            "name": "Agent context & guidance",
            "note": null,
            "notes": [],
            "value": 24,
            "inputs": {
              "has_llms_txt": false,
              "legible_history_share": 0.46,
              "agent_instruction_files": [],
              "agent_instruction_max_bytes": null
            },
            "components": [
              {
                "key": "agent_instructions",
                "name": "Agent instructions",
                "detail": "no CLAUDE.md / AGENTS.md / editor rules",
                "points": 0,
                "status": "missed",
                "details": [
                  {
                    "code": "no_agent_instructions",
                    "params": {}
                  }
                ],
                "max_points": 45
              },
              {
                "key": "machine_readable_docs_llms_txt",
                "name": "Machine-readable docs (llms.txt)",
                "detail": null,
                "points": 0,
                "status": "missed",
                "details": [],
                "max_points": 15
              },
              {
                "key": "legible_commit_history",
                "name": "Legible commit history",
                "detail": "46 of 100 human commits state their intent (structured subject or explanatory body)",
                "points": 24.5,
                "status": "partial",
                "details": [
                  {
                    "code": "legible_history",
                    "params": {
                      "legible": 46,
                      "sampled": 100
                    }
                  }
                ],
                "max_points": 40
              }
            ]
          },
          {
            "key": "ai_verify_loop",
            "band": "critical",
            "name": "Verify loop (build / test / typecheck)",
            "note": null,
            "notes": [],
            "value": 22,
            "inputs": {
              "has_nix": false,
              "has_tests": true,
              "lockfiles": [],
              "has_dockerfile": false,
              "typed_language": false,
              "bootstrap_files": [],
              "has_devcontainer": false,
              "has_linter_config": false,
              "typecheck_configs": [],
              "agent_commit_share": 0,
              "toolchain_manifests": [],
              "dependency_bot_commit_share": 0
            },
            "components": [
              {
                "key": "one_command_bootstrap",
                "name": "One-command bootstrap",
                "detail": null,
                "points": 0,
                "status": "missed",
                "details": [],
                "max_points": 18
              },
              {
                "key": "automated_tests",
                "name": "Automated tests",
                "detail": null,
                "points": 22,
                "status": "met",
                "details": [],
                "max_points": 22
              },
              {
                "key": "lint_format_config",
                "name": "Lint / format config",
                "detail": null,
                "points": 0,
                "status": "missed",
                "details": [],
                "max_points": 11
              },
              {
                "key": "static_type_checking",
                "name": "Static type checking",
                "detail": null,
                "points": 0,
                "status": "missed",
                "details": [],
                "max_points": 11
              },
              {
                "key": "reproducible_environment",
                "name": "Reproducible environment",
                "detail": null,
                "points": 0,
                "status": "missed",
                "details": [],
                "max_points": 10
              },
              {
                "key": "demonstrated_agent_practice",
                "name": "Demonstrated agent practice",
                "detail": "no agent-authored commits among the last 100",
                "points": 0,
                "status": "missed",
                "details": [
                  {
                    "code": "no_agent_authored_commits",
                    "params": {
                      "sampled": 100
                    }
                  }
                ],
                "max_points": 10
              },
              {
                "key": "automated_maintenance",
                "name": "Automated maintenance",
                "detail": "no automated dependency updates observed",
                "points": 0,
                "status": "missed",
                "details": [
                  {
                    "code": "no_dependency_automation",
                    "params": {}
                  }
                ],
                "max_points": 8
              },
              {
                "key": "openssf_scorecard_pinned_dependencies",
                "name": "OpenSSF Scorecard: Pinned-Dependencies",
                "detail": "dependency not pinned by hash detected -- score normalized to 0",
                "points": 0,
                "status": "missed",
                "details": [],
                "max_points": 10
              }
            ]
          },
          {
            "key": "ai_code_legibility",
            "band": "moderate",
            "name": "Code legibility for models",
            "note": null,
            "notes": [],
            "value": 53,
            "inputs": {
              "primary_language": "Python",
              "largest_source_bytes": 131170,
              "source_files_sampled": 241,
              "oversized_source_files": 8
            },
            "components": [
              {
                "key": "type_checkable_code",
                "name": "Type-checkable code",
                "detail": "Python without a type-check config",
                "points": 0,
                "status": "missed",
                "details": [
                  {
                    "code": "no_typecheck_config_language",
                    "params": {
                      "language": "Python"
                    }
                  }
                ],
                "max_points": 45
              },
              {
                "key": "manageable_file_sizes",
                "name": "Manageable file sizes",
                "detail": "8/241 source files over 60KB",
                "points": 53.2,
                "status": "partial",
                "details": [
                  {
                    "code": "oversized_source_files",
                    "params": {
                      "kb": 60,
                      "sampled": 241,
                      "oversized": 8
                    }
                  }
                ],
                "max_points": 55
              }
            ]
          },
          {
            "key": "ai_interfaces",
            "band": "at_risk",
            "name": "Machine-readable interfaces",
            "note": null,
            "notes": [],
            "value": 40,
            "inputs": {
              "example_dirs": [
                "examples",
                "notebooks"
              ],
              "has_mcp_signal": false,
              "api_schema_files": []
            },
            "components": [
              {
                "key": "api_schema_openapi_graphql_proto",
                "name": "API schema (OpenAPI/GraphQL/proto)",
                "detail": null,
                "points": 0,
                "status": "missed",
                "details": [],
                "max_points": 40
              },
              {
                "key": "mcp_server",
                "name": "MCP server",
                "detail": null,
                "points": 0,
                "status": "missed",
                "details": [],
                "max_points": 20
              },
              {
                "key": "runnable_examples",
                "name": "Runnable examples",
                "detail": "examples, notebooks",
                "points": 40,
                "status": "met",
                "details": [
                  {
                    "code": "file_list",
                    "params": {
                      "files": "examples, notebooks"
                    }
                  }
                ],
                "max_points": 40
              }
            ]
          }
        ],
        "description": "How well is the repo equipped to be developed and maintained with AI coding agents? An independent, experimental badge — weight 0.0, so it is surfaced on its own and does not affect the overall health score."
      }
    ],
    "metrics_version": "1.13.0"
  },
  "warnings": [
    "Star history unavailable: GitHub GraphQL error: Resource not accessible by personal access token"
  ],
  "report_type": "repository",
  "generated_at": "2026-07-25T08:48:34.421399Z",
  "schema_version": "0.27.0",
  "badge_url": "https://raw.githubusercontent.com/inspect-software/badges/main/v1/g/google/pyglove.svg",
  "full_name": "google/pyglove",
  "license_state": "standard",
  "license_spdx": "Apache-2.0"
}

评分是信号,而非担保。 评分反映的是 GitHub 上公开可见的实践——不是代码审计,也不是安全保证。

缺失数据将被剔除并重新归一化权重,绝不按零分计。方法论已版本化并公开:指标 v1.13.0、模式 v0.27.0—— 完整方法论 · 指标知识库.

单项结果在整体记录中的位置: 汇总统计PyPI.