Public record
Software health reportschema 0.34.0 · metrics 2.10.0 · 2026-09-16 20:15 UTC

datalab-to / surya

OCR, layout analysis, reading order, table recognition in 90+ languages

PythonApache-2.0★ 21,395 stars⑂ 1,544 forkssince Jan 2024View on GitHub ↗
KindCommand-line toolLibraryhow this is determined

datalab-to/surya holds a health index of 83 out of 100, placing it in the Excellent band. It scores highest on Vitality (88/100) and lowest on AI Readiness (41/100). It was last updated 5 days ago. A single contributor accounts for most of its recent work.

83
overall / 100
Excellent

Software health index

Metrics are grouped into weighted categories on one standardized 1–100 scale. Overall starts as their weighted mean, calibrated against the distribution of the public record so bands carry percentile meaning; when public evidence triggers the High-Risk Jurisdiction Policy, the rating is adjusted and receives an At Risk ceiling of 34.

83
Exceptional93-100The record's top tier (≈ top 5%); essentially all checked criteria met
Excellent80-92Strong across the board; minor gaps
Good65-79Healthy; gaps are limited and manageable
Moderate50-64Acceptable with notable gaps; review recommended
Weak35-49Material weaknesses across several areas
At Risk20-34Significant weaknesses; adoption warrants caution
Critical1-19Severe problems (abandoned, single-maintainer, no hygiene)
VitalityCommunity &AdoptionSustainability &GovernanceEngineeringQualitySecurityAI Readiness

Score profile

Each axis is a category. The shape matters more than the average — a healthy subject fills the whole shape, while a spike-and-crater profile means strength in one dimension is masking risk in another.

The weighted overall 70 is calibrated to 83 on the published index scale (record calibration 2026-08-02).

Ownership

DatalabOrganization
898 followers12 public repossince Jul 2024

This repository is backed by an organization — shared, accountable stewardship that can outlive any single maintainer.

Package ecosystems

RegistryPackageVersionDownloads / moVersionsLast publishTags
PyPIsurya-ocr0.22.1263,0329458 days agoocrpdftablestext-detectiontext-recognition

Metrics by category

Vitality

Is the project alive — is code being written and are releases shipping?

88Excellent · 21% of overall

Development activity

80Excellent
How it's scored
36/36Push recency — last push 5 days ago
15.9/36Commit cadence — 23/52 weeks with commits
17.7/18Commit volume — 92 commits in the last year
10/10OpenSSF Scorecard: Maintained — 29 commit(s) and 0 issue activity found in the last 90 days -- score normalized to 10
Inputs used
commits_last_year92
human_commit_share0.83
days_since_last_push5
active_weeks_last_year23

Release discipline

100Exceptional
How it's scored
27/27Ships releases — 87 releases published
36/36Release recency — latest release 58 days ago
27/27Release cadence — a release every ~35 days
0/10OpenSSF Scorecard: Signed-Releases — no data
Inputs used
releases_count87
latest_release_tagv0.22.1
releases_from_tagsno
days_since_latest_release58
mean_days_between_releases35
Excluded from scoring (no data or not applicable): OpenSSF Scorecard: Signed-Releases. Remaining weights renormalized.

Community & Adoption

Does the project have users, downloads, attention, and a welcoming setup for contributors?

79Good · 17% of overall

Popularity & adoption

97Exceptional
How it's scored
60/60Stars — 21,395 stars
25/25Forks — 1,544 forks
11.7/15Watchers — 128 watchers
Inputs used
forks1,544
stars21,395
watchers128
growth_stateunverified
growth_factor_pct100
growth_unverified_reasonno_history

Community health

50Moderate
How it's scored
22.5/22.5README
22.5/22.5License — recognized license (Apache-2.0)
0/18CONTRIBUTING guide
0/13.5Code of conduct
0/7.2Issue template
0/6.3PR template
Inputs used
has_readmeyes
has_licenseyes
readme_badges6
has_contributingno
has_issue_templateno
has_code_of_conductno
readme_badge_servicesshields.io
has_pull_request_templateno

Ecosystem adoption (downloads)

90Excellent
How it's scored
72.3/80Monthly downloads — 263,032 downloads/month across pypi
0/20Registry dependents — not reported by this ecosystem
Inputs used
packagessurya-ocr
dependents—
ecosystemspypi
total_downloads—
monthly_downloads263,032
unverified_packages_excluded—
Excluded from scoring (no data or not applicable): Registry dependents. Remaining weights renormalized.

Sustainability & Governance

Will the project survive its people — bus factor, responsiveness, who backs it, and package upkeep?

60Moderate · 23% of overall

Maintainer resilience (bus factor)

36Weak
How it's scored
9/54Bus factor — 1 contributor(s) cover half of all commits
7.4/22.5Commit distribution — top contributor authored 67% of commits
13.5/13.5Contributor breadth — 17 contributors
6/10OpenSSF Scorecard: Contributors — project has 2 contributing companies or organizations -- score normalized to 6
Inputs used
bus_factor1
contributors_sampled17
top_contributor_share0.671

Issue & PR responsiveness

53Moderate
How it's scored
19.6/42Issue resolution — 47% of issues closed
26.7/30PR acceptance — 192/216 decided PRs merged
0/13Newcomer PR acceptance — no first-time contributor's PR decided in 30d
0/15OpenSSF Scorecard: Code-Review — Found 0/19 approved changesets -- score normalized to 0
Inputs used
merged_prs192
open_issues163
closed_issues142
prs_merged_7d0
prs_decided_7d0
prs_merged_30d0
prs_decided_30d0
issue_closed_ratio0.466
closed_unmerged_prs24
first_time_authors_30d0
first_time_prs_merged_30d0
first_time_prs_decided_30d0
Excluded from scoring (no data or not applicable): Newcomer PR acceptance. Remaining weights renormalized.

Ownership & stewardship

64Moderate
How it's scored
30/30Ownership backing — organization-owned
0/20Verified domain
21.2/25Owner reach — 898 followers of datalab-to
12.4/25Track record — 12 public repos, account ~2 yr old
Inputs used
followers898
owner_typeOrganization
is_verifiedno
owner_logindatalab-to
public_repos12
account_age_days782

Package maintenance

100Exceptional
How it's scored
25/25Published & resolvable — 1 package(s) on pypi
35/35Publish recency — latest publish 58 days ago
20/20Version history — 94 published versions
20/20Not deprecated — active, not deprecated or yanked
Inputs used
packagessurya-ocr
ecosystemspypi
any_deprecatedno
min_days_since_publish58

Engineering Quality

Are baseline engineering and documentation practices in place?

82Excellent · 19% of overall

Engineering practices

94Exceptional
How it's scored
24/24CI workflows — 4 workflow(s)
24/24Tests present
16/16Linter config — pyproject.toml ([tool.ruff])
9.6/9.6Pre-commit hooks
0/6.4.editorconfig
20/20OpenSSF Scorecard: CI-Tests — 11 out of 11 merged PRs checked by a CI test -- score normalized to 10
Inputs used
has_ciyes
has_testsyes
has_editorconfigno
has_linter_configyes
has_precommit_configyes

Documentation

65Good
How it's scored
30/30README
0/25Documentation directory
15/15Documentation / homepage site — https://www.datalab.to
10/10Repository description
0/10Topics
10/10Wiki
Inputs used
topics—
has_wikiyes
homepagehttps://www.datalab.to
docs_sitehttps://www.datalab.to
has_readmeyes
has_docs_dirno
has_descriptionyes

Security

Are visible security and supply-chain practices strong, without unresolved high-risk jurisdiction exposure?

42Weak · 16% of overall

Security posture

36Weak
How it's scored
7.5/7.5Binary-Artifacts — no binaries found in the repo
2.2/7.5Branch-Protection — branch protection is not maximal on development and all release branches
2.5/2.5CI-Tests — 11 out of 11 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
0/7.5Code-Review — Found 0/19 approved changesets -- score normalized to 0
1.5/2.5Contributors — project has 2 contributing companies or organizations -- score normalized to 6
10/10Dangerous-Workflow — no dangerous workflow patterns detected
0/7.5Dependency-Update-Tool — no update tool detected
0/5Fuzzing — project is not fuzzed
2.5/2.5License — license file detected
7.5/7.5Maintained — 29 commit(s) and 0 issue activity found in the last 90 days -- score normalized to 10
0/5Packaging — no data
0/5Pinned-Dependencies — dependency not pinned by hash detected -- score normalized to 0
0/5SAST — SAST tool is not run on all commits -- score normalized to 0
0/5Security-Policy — security policy file not detected
0/7.5Signed-Releases — no data
0/7.5Token-Permissions — detected GitHub workflow tokens with excessive permissions
0/7.5Vulnerabilities — 96 existing vulnerabilities detected
Inputs used
sourceopenssf_scorecard
checks_evaluated16
scorecard_versionv5.5.0
checks_inconclusive2
scorecard_aggregate3.6
Excluded from scoring (no data or not applicable): Packaging, Signed-Releases. Remaining weights renormalized.

Dependency advisories

67Good
How it's scored
9.5/35Direct dependencies free of known advisories — 1 affected: pillow 10.4.0 (critical 9.1)
25/25Indirect dependencies free of known advisories — no indirect dependency carries a known advisory
32.6/40No advisories left outstanding — 1 advisory-carrying package(s) unaddressed past 90 days; oldest published 217 days ago
Inputs used
sourceosv
advisories34
affected_packages1
assessed_packages74
unassessed_packages0
affected_by_severitycritical 1
direct_affected_packages1
Matched the pypi:surya-ocr@0.22.1 runtime dependency closure — what installing the published package pulls in — 74 packages. Reachability is not analyzed.

AI Readiness

How well is the repo equipped to be developed and maintained with AI coding agents? Carries a deliberately small weight (4%): agent tooling is a real maintenance signal, but a repository with none can still reach 100/100.

41Weak · 4% of overall

Agent context & guidance

32At Risk
How it's scored
0/45Agent instructions — no CLAUDE.md / AGENTS.md / editor rules
15/15Machine-readable docs (llms.txt) — llms.txt served by the project website (https://www.datalab.to/llms.txt)
16.7/40Legible commit history — 26 of 83 human commits state their intent (structured subject or explanatory body)
Inputs used
has_llms_txtyes
llms_txt_urlhttps://www.datalab.to/llms.txt
legible_history_share0.313
agent_instruction_files—
agent_instruction_max_bytes—

Verify loop (build / test / typecheck)

43Weak
How it's scored
0/18One-command bootstrap
22/22Automated tests
11/11Lint / format config — pyproject.toml ([tool.ruff])
0/11Static type checking
10/10Reproducible environment — lockfile
0/10Demonstrated agent practice — no agent-authored commits among the last 100
0/8Automated maintenance — no automated dependency updates observed
0/10OpenSSF Scorecard: Pinned-Dependencies — dependency not pinned by hash detected -- score normalized to 0
Inputs used
has_nixno
has_testsyes
lockfilesuv.lock
has_dockerfileno
typed_languageno
bootstrap_files—
has_devcontainerno
has_linter_configyes
typecheck_configs—
agent_commit_share0
toolchain_manifests—
dependency_bot_commit_share0

Code legibility for models

55Moderate
How it's scored
0/45Type-checkable code — Python without a type-check config
55/55Manageable file sizes — 0/109 source files over 60KB
Inputs used
primary_languagePython
largest_source_bytes53,026
source_files_sampled109
oversized_source_files0

Key facts

21,395GitHub stars
17contributors
92commits, last 12 months
5days since last push
87releases
1bus factor
163open issues
PyPIpackage ecosystems

Data collection warnings

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

More detail

Star and fork history 0 ★ / 1,544 ⇿
0Stars
1,544Forks
64Releases

When each star and fork was added, collected from GitHub and bucketed by day. Cumulative growth sits directly above the daily additions it is made of, so the two read against each other: steady organic accretion looks nothing like an abrupt, short-lived burst. Where that difference is measurable, it is reported as growth authenticity.

Only the most recent history is shown — this repository exceeds the collection window, so the earliest history is not captured.

4006008001,0001,2001,4001,6001,544682024-072025-082026-09
Major 0Minor 16Patch 48

Each point covers 2 days.

OpenSSF Scorecard 3.6 / 10
3.6aggregate

Independent, tool-agnostic security assessment from the open-source OpenSSF Scorecard. Each check rewards a security practice, not a specific vendor's tool. Checks Scorecard could not determine are marked n/a and excluded from the security score (never counted as zero).Scorecard v5.5.0 · 2026-09-16 20:15 UTC

10Binary-Artifactsno binaries found in the repo
3Branch-Protectionbranch protection is not maximal on development and all release branches
10CI-Tests11 out of 11 merged PRs checked by a CI test -- score normalized to 10
0CII-Best-Practicesno effort to earn an OpenSSF best practices badge detected
0Code-ReviewFound 0/19 approved changesets -- score normalized to 0
6Contributorsproject has 2 contributing companies or organizations -- score normalized to 6
10Dangerous-Workflowno dangerous workflow patterns detected
0Dependency-Update-Toolno update tool detected
0Fuzzingproject is not fuzzed
10Licenselicense file detected
10Maintained29 commit(s) and 0 issue activity found in the last 90 days -- score normalized to 10
n/aPackagingpackaging workflow not detected
0Pinned-Dependenciesdependency not pinned by hash detected -- score normalized to 0
0SASTSAST tool is not run on all commits -- score normalized to 0
0Security-Policysecurity policy file not detected
n/aSigned-Releasesno releases found
0Token-Permissionsdetected GitHub workflow tokens with excessive permissions
0Vulnerabilities96 existing vulnerabilities detected
Direct dependencies 18
RegistryPackageVersion constraintManifest
PyPItransformers>=5.12.1pyproject.toml
PyPItorch>=2.7.0,<3pyproject.toml
PyPItorchvision>=0.20.0,<1pyproject.toml
PyPIpydantic>=2.5.3,<3pyproject.toml
PyPIpydantic-settings>=2.1.0,<3pyproject.toml
PyPIpython-dotenv>=1.0.0,<2pyproject.toml
PyPIpillow>=10.2.0,<11pyproject.toml
PyPIpypdfium2>=5.10.1,<6pyproject.toml
PyPIfiletype>=1.2.0,<2pyproject.toml
PyPIclick>=8.1.8,<9pyproject.toml
PyPIplatformdirs>=4.3.6,<5pyproject.toml
PyPIopencv-python-headless==4.11.0.86pyproject.toml
PyPIopenai>=1.55.0,<3pyproject.toml
PyPIhttpx>=0.27.0,<1pyproject.toml
PyPIhuggingface-hub>=1.5.0,<2pyproject.toml
PyPIfilelock>=3.16.0,<4pyproject.toml
PyPIbeautifulsoup4>=4.12.0,<5pyproject.toml
PyPIrequests>=2.28.0,<3pyproject.toml
All dependencies 212

Full resolved dependency set from the GitHub dependency graph: 18 direct and 194 indirect (transitive) packages. The transitive closure is complete when the repository commits a lockfile.

RegistryPackageVersionRelation
PyPIbeautifulsoup44.14.3direct
PyPIclick8.4.2direct
PyPIfilelock3.29.0direct
PyPIfiletype1.2.0direct
PyPIhttpx0.27.2direct
PyPIhuggingface-hub1.22.0direct
PyPIopenai1.109.1direct
PyPIopencv-python-headless4.11.0.86direct
PyPIpillow10.4.0direct
PyPIplatformdirs4.9.6direct
PyPIpydantic2.13.4direct
PyPIpydantic-settings2.14.1direct
PyPIpypdfium25.10.1direct
PyPIpython-dotenv1.2.2direct
PyPIrequests2.34.1direct
PyPItorch2.12.0direct
PyPItorchvision0.27.0direct
PyPItransformers5.13.0direct
PyPIaiohappyeyeballs2.6.1indirect
PyPIaiohttp3.13.5indirect
PyPIaiosignal1.4.0indirect
PyPIaltair6.1.0indirect
PyPIannotated-doc0.0.4indirect
PyPIannotated-types0.7.0indirect
PyPIanyio4.13.0indirect
PyPIappnope0.1.4indirect
PyPIargon2-cffi25.1.0indirect
PyPIargon2-cffi-bindings25.1.0indirect
PyPIarrow1.4.0indirect
PyPIasttokens3.0.1indirect
PyPIasync-lru2.3.0indirect
PyPIasync-timeout5.0.1indirect
PyPIattrs26.1.0indirect
PyPIbabel2.18.0indirect
PyPIbleach6.3.0indirect
PyPIblinker1.9.0indirect
PyPIcachetools7.1.1indirect
PyPIcertifi2026.4.22indirect
PyPIcffi2.0.0indirect
PyPIcfgv3.5.0indirect
PyPIcharset-normalizer3.4.7indirect
PyPIcolorama0.4.6indirect
PyPIcomm0.2.3indirect
PyPIcuda-bindings13.2.0indirect
PyPIcuda-pathfinder1.5.4indirect
PyPIcuda-toolkit13.0.2indirect
PyPIdatasets4.8.5indirect
PyPIdebugpy1.8.20indirect
PyPIdecorator5.2.1indirect
PyPIdefusedxml0.7.1indirect
PyPIdill0.4.1indirect
PyPIdistlib0.4.0indirect
PyPIdistro1.9.0indirect
PyPIexceptiongroup1.3.1indirect
PyPIexecuting2.2.1indirect
PyPIfastjsonschema2.21.2indirect
PyPIflask3.1.3indirect
PyPIfqdn1.5.1indirect
PyPIfrozenlist1.8.0indirect
PyPIfsspec2026.2.0indirect
PyPIgitdb4.0.12indirect
PyPIgitpython3.1.50indirect
PyPIh110.16.0indirect
PyPIhf-xet1.5.1indirect
PyPIhttpcore1.0.9indirect
PyPIhttptools0.7.1indirect
PyPIidentify2.6.19indirect
PyPIidna3.15indirect
PyPIiniconfig2.3.0indirect
PyPIipykernel7.2.0indirect
PyPIipython8.39.0indirect
PyPIipython9.13.0indirect
PyPIipython-pygments-lexers1.1.1indirect
PyPIipywidgets8.1.8indirect
PyPIisoduration20.11.0indirect
PyPIitsdangerous2.2.0indirect
PyPIjedi0.20.0indirect
PyPIjinja23.1.6indirect
PyPIjiter0.14.0indirect
PyPIjson50.14.0indirect
PyPIjsonpointer3.1.1indirect
PyPIjsonschema4.26.0indirect
PyPIjsonschema-specifications2025.9.1indirect
PyPIjupyter1.1.1indirect
PyPIjupyter-client8.8.0indirect
PyPIjupyter-console6.6.3indirect
PyPIjupyter-core5.9.1indirect
PyPIjupyter-events0.12.1indirect
PyPIjupyter-lsp2.3.1indirect
PyPIjupyter-server2.18.2indirect
PyPIjupyter-server-terminals0.5.4indirect
PyPIjupyterlab4.5.7indirect
PyPIjupyterlab-pygments0.3.0indirect
PyPIjupyterlab-server2.28.0indirect
PyPIjupyterlab-widgets3.0.16indirect
PyPIlark1.3.1indirect
PyPImarkdown-it-py4.2.0indirect
PyPImarkupsafe3.0.3indirect
PyPImatplotlib-inline0.2.2indirect
PyPImdurl0.1.2indirect
PyPImistune3.2.1indirect
PyPImpmath1.3.0indirect
PyPImultidict6.7.1indirect
PyPImultiprocess0.70.19indirect
PyPInarwhals2.21.0indirect
PyPInbclient0.10.4indirect
PyPInbconvert7.17.1indirect
PyPInbformat5.10.4indirect
PyPInest-asyncio1.6.0indirect
PyPInetworkx3.4.2indirect
PyPInetworkx3.6.1indirect
PyPInodeenv1.10.0indirect
PyPInotebook7.5.6indirect
PyPInotebook-shim0.2.4indirect
PyPInumpy2.2.6indirect
PyPInumpy2.4.4indirect
PyPInvidia-cublas13.1.1.3indirect
PyPInvidia-cuda-cupti13.0.85indirect
PyPInvidia-cuda-nvrtc13.0.88indirect
PyPInvidia-cuda-runtime13.0.96indirect
PyPInvidia-cudnn-cu139.20.0.48indirect
PyPInvidia-cufft12.0.0.61indirect
PyPInvidia-cufile1.15.1.6indirect
PyPInvidia-curand10.4.0.35indirect
PyPInvidia-cusolver12.0.4.66indirect
PyPInvidia-cusparse12.6.3.3indirect
PyPInvidia-cusparselt-cu130.8.1indirect
PyPInvidia-nccl-cu132.29.7indirect
PyPInvidia-nvjitlink13.0.88indirect
PyPInvidia-nvshmem-cu133.4.5indirect
PyPInvidia-nvtx13.0.85indirect
PyPIoverrides7.7.0indirect
PyPIpackaging26.2indirect
PyPIpandas2.3.3indirect
PyPIpandas3.0.3indirect
PyPIpandocfilters1.5.1indirect
PyPIparso0.8.7indirect
PyPIpdftext0.7.1indirect
PyPIpexpect4.9.0indirect
PyPIpluggy1.6.0indirect
PyPIpre-commit4.6.0indirect
PyPIprometheus-client0.25.0indirect
PyPIprompt-toolkit3.0.52indirect
PyPIpropcache0.5.2indirect
PyPIprotobuf7.34.1indirect
PyPIpsutil7.2.2indirect
PyPIptyprocess0.7.0indirect
PyPIpure-eval0.2.3indirect
PyPIpyarrow24.0.0indirect
PyPIpycparser3.0indirect
PyPIpydantic-core2.46.4indirect
PyPIpydeck0.9.2indirect
PyPIpygments2.20.0indirect
PyPIpymupdf1.27.2.3indirect
PyPIpytest9.0.3indirect
PyPIpython-dateutil2.9.0.post0indirect
PyPIpython-discovery1.3.1indirect
PyPIpython-json-logger4.1.0indirect
PyPIpython-multipart0.0.28indirect
PyPIpytz2026.2indirect
PyPIpywinpty3.0.3indirect
PyPIpyyaml6.0.3indirect
PyPIpyzmq27.1.0indirect
PyPIreferencing0.37.0indirect
PyPIregex2026.5.9indirect
PyPIrfc3339-validator0.1.4indirect
PyPIrfc3986-validator0.1.1indirect
PyPIrfc3987-syntax1.1.0indirect
PyPIrich15.0.0indirect
PyPIrpds-py0.30.0indirect
PyPIsafetensors0.8.0indirect
PyPIsend2trash2.1.0indirect
PyPIsetuptools81.0.0indirect
PyPIshellingham1.5.4indirect
PyPIsix1.17.0indirect
PyPIsmmap5.0.3indirect
PyPIsniffio1.3.1indirect
PyPIsoupsieve2.8.3indirect
PyPIstack-data0.6.3indirect
PyPIstarlette1.0.0indirect
PyPIstreamlit1.57.0indirect
PyPIsurya-ocr0.22.1indirect
PyPIsympy1.14.0indirect
PyPItabulate0.10.0indirect
PyPItenacity9.1.4indirect
PyPIterminado0.18.1indirect
PyPItinycss21.4.0indirect
PyPItokenizers0.22.2indirect
PyPItoml0.10.2indirect
PyPItomli2.4.1indirect
PyPItornado6.5.5indirect
PyPItqdm4.67.3indirect
PyPItraitlets5.15.0indirect
PyPItriton3.7.0indirect
PyPItyper0.26.8indirect
PyPItyping-extensions4.15.0indirect
PyPItyping-inspection0.4.2indirect
PyPItzdata2026.2indirect
PyPIuri-template1.3.0indirect
PyPIurllib32.7.0indirect
PyPIuvicorn0.46.0indirect
PyPIvirtualenv21.3.3indirect
PyPIwatchdog6.0.0indirect
PyPIwcwidth0.7.0indirect
PyPIwebcolors25.10.0indirect
PyPIwebencodings0.5.1indirect
PyPIwebsocket-client1.9.0indirect
PyPIwebsockets16.0indirect
PyPIwerkzeug3.1.8indirect
PyPIwidgetsnbextension4.0.15indirect
PyPIxxhash3.7.0indirect
PyPIyarl1.23.0indirect
Dependency advisories 1

Installing pypi:surya-ocr@0.22.1 pulls in 74 packages, direct and transitive: 1 carry known advisories, of which 1 are direct dependencies.

PackageVersionRelationSeverityAdvisoriesFixed in
pillow10.4.0directcritical3412.3.0

An advisory means the version recorded in the dependency graph falls inside an advisory’s affected range. Reachability is not analysed, and the graph includes development and test pins — a finding may concern tooling rather than shipped software.

Raw JSON report machine-readable

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