公开记录中等
软件健康报告模式 0.27.0 · 指标 1.13.0 · 2026-07-26 18:18 UTC
shader-slang / slangpy-samples
shader-slang/slangpy-samples 的健康指数为 100 分中的 53 分，处于「中等」区间。 其得分最高的类别是Vitality（63/100），最低的是AI Readiness（36/100）。 最近一次更新在 2 天前。 近期的大部分工作由 2 位贡献者完成。
53
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。
53
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。
所有权
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？
63
开发活跃度
71良好
评分方式
| 36/36 | 推送新近度 — 最近一次推送于 2 天前 |
| 11.1/36 | 提交节奏 — 52 周中有 16 周有提交 |
| 14.3/18 | 提交量 — 最近一年 38 次提交 |
| 10/10 | OpenSSF Scorecard：Maintained — 14 commit(s) and 0 issue activity found in the last 90 days -- score normalized to 10 |
所用输入
| commits_last_year | 38 |
| human_commit_share | 0.99 |
| days_since_last_push | 2 |
| active_weeks_last_year | 16 |
发布纪律
50中等
评分方式
| 16.2/27 | 有发布版本 — 1 个版本标签（无 GitHub 发布版本） |
| 16.2/36 | 发布时效 — 最近一次发布版本于 227 天前 |
| 12.6/27 | 发布节奏 — 节奏未知（仅一次发布） |
| 0/10 | OpenSSF Scorecard：Signed-Releases — 无数据 |
所用输入
| releases_count | 1 |
| latest_release_tag | v0.38.1 |
| releases_from_tags | 是 |
| days_since_latest_release | 227 |
| mean_days_between_releases | — |
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？
41
流行度与采用
30存在风险
评分方式
| 18.1/60 | 星标 — 14 个星标 |
| 8.7/25 | 复刻 — 12 个复刻 |
| 3.3/15 | 关注者 — 5 位关注者 |
所用输入
| forks | 12 |
| stars | 14 |
| watchers | 5 |
| growth_state | unverified |
| growth_factor_pct | 100 |
| growth_unverified_reason | no_history |
社区健康
54中等
评分方式
| 0/22.5 | 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 |
| 0/6.3 | PR 模板 |
所用输入
| has_readme | 否 |
| has_license | 是 |
| has_contributing | 是 |
| has_issue_template | 否 |
| has_code_of_conduct | 是 |
| has_pull_request_template | 否 |
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？
58
维护者韧性（巴士系数）
55中等
评分方式
| 25.2/54 | 巴士系数 — 2 位贡献者贡献了半数提交 |
| 13.5/22.5 | 提交分布 — 头号贡献者编写了 40% 的提交 |
| 13.5/13.5 | 贡献者广度 — 17 位贡献者 |
| 3/10 | OpenSSF Scorecard：Contributors — project has 1 contributing companies or organizations -- score normalized to 3 |
所用输入
| bus_factor | 2 |
| contributors_sampled | 17 |
| top_contributor_share | 0.398 |
议题与 PR 响应能力
49存在风险
评分方式
| 13.4/46.8 | 议题解决 — 29% 的议题已关闭 |
| 34/38.3 | PR 接受 — 已裁定的 PR 中 40/45 已合并 |
| 1.5/15 | OpenSSF Scorecard：Code-Review — Found 4/25 approved changesets -- score normalized to 1 |
所用输入
| merged_prs | 40 |
| open_issues | 5 |
| closed_issues | 2 |
| issue_closed_ratio | 0.286 |
| closed_unmerged_prs | 5 |
所有权与托管责任
71良好
评分方式
| 30/30 | 所有权背书 — 组织持有 |
| 0/20 | 已验证域名 |
| 18.1/25 | 所有者影响力 — shader-slang 有 330 位关注者 |
| 23.3/25 | 既往记录 — 35 个公开仓库，账户约 9 年 |
所用输入
| followers | 330 |
| owner_type | Organization |
| is_verified | — |
| owner_login | shader-slang |
| public_repos | 35 |
| account_age_days | 3,338 |
工程质量
基础的工程与文档实践是否到位？
54
工程实践
90优秀
评分方式
| 24/24 | CI 工作流 — 2 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 |
| 16/20 | OpenSSF Scorecard：CI-Tests — 15 out of 17 merged PRs checked by a CI test -- score normalized to 8 |
所用输入
| has_ci | 是 |
| has_tests | 是 |
| has_editorconfig | 否 |
| has_linter_config | 是 |
| has_precommit_config | 是 |
文档
1危急
评分方式
| 0/30 | README |
| 0/25 | 文档目录 |
| 0/15 | 文档 / 主页站点 |
| 0/10 | 仓库描述 |
| 0/10 | 主题标签 |
| 0/10 | Wiki |
所用输入
| topics | — |
| has_wiki | 否 |
| homepage | — |
| has_readme | 否 |
| has_docs_dir | 否 |
| has_description | 否 |
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？
41
安全态势
41存在风险
评分方式
| 7.5/7.5 | Binary-Artifacts — no binaries found in the repo |
| 0/7.5 | Branch-Protection — branch protection not enabled on development/release branches |
| 2/2.5 | CI-Tests — 15 out of 17 merged PRs checked by a CI test -- score normalized to 8 |
| 0/2.5 | CII-Best-Practices — no effort to earn an OpenSSF best practices badge detected |
| 0.8/7.5 | Code-Review — Found 4/25 approved changesets -- score normalized to 1 |
| 0.8/2.5 | Contributors — project has 1 contributing companies or organizations -- score normalized to 3 |
| 10/10 | Dangerous-Workflow — no dangerous workflow patterns detected |
| 0/7.5 | Dependency-Update-Tool — no 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 — 14 commit(s) and 0 issue activity found in the last 90 days -- score normalized to 10 |
| 0/5 | Packaging — 无数据 |
| 0/5 | Pinned-Dependencies — dependency not pinned by hash detected -- score normalized to 0 |
| 0/5 | SAST — SAST tool is not run on all commits -- score normalized to 0 |
| 0/5 | Security-Policy — security policy file not detected |
| 0/7.5 | Signed-Releases — 无数据 |
| 0/7.5 | Token-Permissions — detected GitHub workflow tokens with excessive permissions |
| 7.5/7.5 | Vulnerabilities — 0 existing vulnerabilities detected |
所用输入
| source | openssf_scorecard |
| checks_evaluated | 16 |
| scorecard_version | v5.5.0 |
| checks_inconclusive | 2 |
| scorecard_aggregate | 4.1 |
已排除计分（无数据或不适用）：packaging, signed_releases。 其余权重已重新归一化。
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。
36
AI 代理上下文与指引
22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） |
| 22.1/40 | 可读的提交历史 — 99 次人类提交中有 41 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 | 0.414 |
| agent_instruction_files | — |
| agent_instruction_max_bytes | — |
验证循环（构建 / 测试 / 类型检查）
37存在风险
评分方式
| 0/18 | 一条命令的引导启动 |
| 22/22 | 自动化测试 |
| 11/11 | Lint / 格式化配置 |
| 0/11 | 静态类型检查 |
| 0/10 | 可复现环境 |
| 4/10 | 已体现的代理实践 — 最近 100 次提交中有 2 次由代理编写或署名代理 |
| 0/8 | 自动化维护 — 未观察到自动依赖更新 |
| 0/10 | OpenSSF Scorecard：Pinned-Dependencies — dependency not pinned by hash detected -- score normalized to 0 |
所用输入
| has_nix | 否 |
| has_tests | 是 |
| lockfiles | — |
| has_dockerfile | 否 |
| typed_language | 否 |
| bootstrap_files | — |
| has_devcontainer | 否 |
| has_linter_config | 是 |
| typecheck_configs | — |
| agent_commit_share | 0.02 |
| toolchain_manifests | — |
| dependency_bot_commit_share | 0 |
面向模型的代码可读性
55中等
评分方式
| 0/45 | 可类型检查的代码 — Jupyter Notebook，未配置类型检查 |
| 55/55 | 可控的文件大小 — 采样的 84 个源文件中有 0 个超过 60KB |
所用输入
| primary_language | Jupyter Notebook |
| largest_source_bytes | 20,875 |
| source_files_sampled | 84 |
| oversized_source_files | 0 |
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 — examples, notebooks |
所用输入
| example_dirs | examples, notebooks |
| has_mcp_signal | 否 |
| api_schema_files | — |
关键数据
14GitHub 星标
17贡献者
38最近 12 个月提交数
2距最近推送天数
1发布版本数
2巴士系数（bus factor）
5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
- No resolved dependencies carried a version and a supported ecosystem
更多细节
Star 与 Fork 历史 0 ★ / 12 ⇿
0Star
12Fork
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。
OpenSSF Scorecard 4.1 / 10
4.1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 |
| 0 | Branch-Protection | branch protection not enabled on development/release branches |
| 8 | CI-Tests | 15 out of 17 merged PRs checked by a CI test -- score normalized to 8 |
| 0 | CII-Best-Practices | no effort to earn an OpenSSF best practices badge detected |
| 1 | Code-Review | Found 4/25 approved changesets -- score normalized to 1 |
| 3 | Contributors | project has 1 contributing companies or organizations -- score normalized to 3 |
| 10 | Dangerous-Workflow | no dangerous workflow patterns detected |
| 0 | Dependency-Update-Tool | no update tool detected |
| 0 | Fuzzing | project is not fuzzed |
| 9 | License | license file detected |
| 10 | Maintained | 14 commit(s) and 0 issue activity found in the last 90 days -- score normalized to 10 |
| 不适用 | Packaging | packaging workflow not detected |
| 0 | Pinned-Dependencies | dependency not pinned by hash detected -- score normalized to 0 |
| 0 | SAST | SAST tool is not run on all commits -- score normalized to 0 |
| 0 | Security-Policy | security policy file not detected |
| 不适用 | Signed-Releases | no releases found |
| 0 | Token-Permissions | detected GitHub workflow tokens with excessive permissions |
| 10 | Vulnerabilities | 0 existing vulnerabilities detected |
全部依赖 8
来自 GitHub 依赖图的完整解析依赖集合：0 个直接依赖与 8 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 | imageio | — | 间接 |
| PyPI | matplotlib | — | 间接 |
| PyPI | numpy | — | 间接 |
| PyPI | pillow | — | 间接 |
| PyPI | scipy | — | 间接 |
| PyPI | slangpy | — | 间接 |
| PyPI | tqdm | — | 间接 |
| PyPI | trimesh | — | 间接 |
依赖安全公告 未评估
本报告未能完成公告比对：No resolved dependencies carried a version and a supported ecosystem
原始 JSON 报告 机器可读
{
"data": {
"repo": {
"topics": [],
"is_fork": false,
"size_kb": 5974,
"has_wiki": false,
"homepage": null,
"languages": {
"Slang": 375732,
"Python": 242640,
"Jupyter Notebook": 3290843
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"pushed_at": "2026-07-23T18:29:36Z",
"created_at": "2024-08-06T18:32:44Z",
"owner_type": "Organization",
"updated_at": "2026-07-18T05:02:04Z",
"description": null,
"is_archived": false,
"is_disabled": false,
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"default_branch": "main",
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"primary_language": "Jupyter Notebook",
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"owner": {
"blog": "https://shader-slang.org/",
"name": "The Slang Shading Language",
"type": "Organization",
"login": "shader-slang",
"company": null,
"location": null,
"followers": 330,
"avatar_url": "https://avatars.githubusercontent.com/u/29205606?v=4",
"created_at": "2017-06-05T15:17:57Z",
"is_verified": null,
"public_repos": 35,
"account_age_days": 3338
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"license": {
"state": "custom",
"spdx_id": null,
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"activity": {
"releases": [
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"kind": "patch",
"published_at": "2025-12-11T12:29:55Z"
}
],
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"headline": "Add neural.slang UTracer experiment (#53)",
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"headline": "Update neural demo screenshot with a converged result (#52)",
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"is_bot": false,
"headline": "Update neural.slang demo to the current neural module API (#51)",
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"is_bot": false,
"headline": "Proxy aware url test",
"author_name": "Chris Cummings",
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"committed_at": "2026-07-03T10:39:44Z",
"body_truncated": false,
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"headline": "Re-enable test",
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"headline": "Fix samples",
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"headline": "Merge branch 'dev/ccummings/sample-fixes'",
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{
"oid": "ceffbc9c3cf1a478bc18f7efb0ddc056ed1f7e18",
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"is_bot": false,
"headline": "Disable url check",
"author_name": "Chris Cummings",
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"body": "Co-authored-by: Craig Kolb <ckolb@nvidia.com>",
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"headline": "Add LinearLayer.set_weights() and .set_biases() (#15)",
"author_name": "Craig Kolb",
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"oid": "dad424b9cbb1d44c38c5e8a65ff344329fe4e92b",
"body": "* Fix samples\n\n* Fix url\n\n* Fix python patg (#48)",
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"headline": "Sample fixes (#49)",
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"headline": "Fix python patg (#48)",
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"headline": "Fix python patg (#48)",
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{
"oid": "7fc512105f610e5e82b1141130611adb26ecf443",
"body": "CONTRIBUTING.md was added in #44 without a trailing newline. CI runs the\nend-of-file-fixer pre-commit hook with --all-files, so the missing\nnewline fails pre-commit on every open PR. Add the newline to green\npre-commit repo-wide.\n\nCo-authored-by: nv-slang-bot[bot] <274397474+nv-slang-bot[bot]@users.noreply.github.com>",
"is_bot": true,
"headline": "Add trailing newline to CONTRIBUTING.md (#47)",
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{
"key": "ci_tests",
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{
"key": "cii_best_practices",
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{
"key": "code_review",
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"points": 0.8,
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{
"key": "contributors",
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"status": "partial",
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{
"key": "dangerous_workflow",
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"status": "met",
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{
"key": "dependency_update_tool",
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{
"key": "fuzzing",
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"points": 0,
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{
"key": "license",
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"points": 2.2,
"status": "partial",
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{
"key": "maintained",
"name": "Maintained",
"detail": "14 commit(s) and 0 issue activity found in the last 90 days -- score normalized to 10",
"points": 7.5,
"status": "met",
"details": [],
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{
"key": "packaging",
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{
"code": "no_data",
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{
"key": "pinned_dependencies",
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{
"key": "sast",
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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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{
"key": "token_permissions",
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{
"key": "vulnerabilities",
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{
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"notes": [
{
"code": "jurisdiction_evidence_limits",
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"value": 100,
"inputs": {
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"red_flag": false,
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"Iran",
"North Korea"
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"review_only_matches": 0,
"assessed_self_published_locations": 6
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{
"key": "policy_exposure_multiplier",
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"points": 100,
"status": "met",
"details": [
{
"code": "jurisdiction_no_match",
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"max_points": 100
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{
"key": "ai_readiness",
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"name": "AI Readiness",
"value": 36,
"weight": 0,
"metrics": [
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"key": "ai_agent_context",
"band": "critical",
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"note": null,
"notes": [],
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"legible_history_share": 0.414,
"agent_instruction_files": [],
"agent_instruction_max_bytes": null
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"components": [
{
"key": "agent_instructions",
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{
"code": "no_agent_instructions",
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{
"key": "machine_readable_docs_llms_txt",
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"detail": null,
"points": 0,
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"max_points": 15
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{
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"points": 22.1,
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{
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{
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{
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{
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{
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{
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{
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{
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{
"key": "automated_maintenance",
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"points": 0,
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{
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{
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{
"key": "manageable_file_sizes",
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"points": 55,
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{
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{
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"points": 0,
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{
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"detail": null,
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{
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