Dataset Viewer
Duplicate
The dataset viewer is not available for this split.
Cannot load the dataset split (in streaming mode) to extract the first rows.
Error code:   StreamingRowsError
Exception:    CastError
Message:      Couldn't cast
digest: string
kind: string
path: string
payload_sha3: string
prev: string
seq: int64
ts: timestamp[s]
passed: int64
sbom_written: bool
root: string
schema: string
source: struct<git: struct<doc_only: bool, head: string, url: string, branch: string, sha_verified_from: str (... 5 chars omitted)
  child 0, git: struct<doc_only: bool, head: string, url: string, branch: string, sha_verified_from: string>
      child 0, doc_only: bool
      child 1, head: string
      child 2, url: string
      child 3, branch: string
      child 4, sha_verified_from: string
benchmarks: list<item: struct<evidence: struct<ceilings: struct<max_files: int64, max_lines: int64, min_lines: i (... 3044 chars omitted)
  child 0, item: struct<evidence: struct<ceilings: struct<max_files: int64, max_lines: int64, min_lines: int64>, code (... 3032 chars omitted)
      child 0, evidence: struct<ceilings: struct<max_files: int64, max_lines: int64, min_lines: int64>, code_lines: int64, co (... 2961 chars omitted)
          child 0, ceilings: struct<max_files: int64, max_lines: int64, min_lines: int64>
              child 0, max_files: int64
              child 1, max_lines: int64
              child 2, min_lines: int64
          child 1, code_lines: int64
          child 2, command: string
          child 3, counts_command: string
          child 4, files_source: int64
          child 5, files_tests: int64
          child 6, files_total: int64
          child 7, method: string
          child 8, test_to_source_l
...
                child 0, detail: string
                  child 1, evidence_path: string
                  child 2, present: bool
              child 6, rerunnable_verification: struct<detail: string, evidence_path: string, present: bool>
                  child 0, detail: string
                  child 1, evidence_path: string
                  child 2, present: bool
              child 7, versioning: struct<detail: string, evidence_path: string, present: bool>
                  child 0, detail: string
                  child 1, evidence_path: string
                  child 2, present: bool
          child 62, criteria_missing: list<item: null>
              child 0, item: null
          child 63, criteria_satisfied: int64
          child 64, criteria_total: int64
          child 65, framework_controls_verified: int64
          child 66, ladder: string
          child 67, observed_level: int64
          child 68, source: string
          child 69, trL9_claimed: bool
          child 70, trL9_reason: string
      child 1, id: string
      child 2, ok: bool
      child 3, status: string
      child 4, title: string
method: struct<aggregate_rule: string, excluded: string, reproduce: string, thresholds_note: string>
  child 0, aggregate_rule: string
  child 1, excluded: string
  child 2, reproduce: string
  child 3, thresholds_note: string
failed: int64
all_passed: bool
python: string
total: int64
failed_ids: list<item: null>
  child 0, item: null
version: string
platform: string
to
{'all_passed': Value('bool'), 'benchmarks': List({'evidence': {'ceilings': {'max_files': Value('int64'), 'max_lines': Value('int64'), 'min_lines': Value('int64')}, 'code_lines': Value('int64'), 'command': Value('string'), 'counts_command': Value('string'), 'files_source': Value('int64'), 'files_tests': Value('int64'), 'files_total': Value('int64'), 'method': Value('string'), 'test_to_source_line_ratio': Value('float64'), 'total_lines': Value('int64'), 'a_licences': List(Value('string')), 'b_licences': List(Value('string')), 'default_for_unknown_is_C': Value('bool'), 'mismatches': {}, 'observed': {'agpl3': Value('string'), 'apache2': Value('string'), 'bsd3': Value('string'), 'commons_clause': Value('string'), 'garbage': Value('string'), 'gpl3': Value('string'), 'isc': Value('string'), 'lgpl': Value('string'), 'mit': Value('string'), 'mpl2': Value('string'), 'noncommercial': Value('string'), 'proprietary': Value('string'), 'sspl': Value('string'), 'unknown_absent': Value('string')}, 'only_class_A_may_relicense': Value('bool'), 'policy_probes': {'agpl3': Value('string'), 'apache2': Value('string'), 'bsd3': Value('string'), 'commons_clause': Value('string'), 'garbage': Value('string'), 'gpl3': Value('string'), 'isc': Value('string'), 'lgpl': Value('string'), 'mit': Value('string'), 'mpl2': Value('string'), 'noncommercial': Value('string'), 'proprietary': Value('string'), 'sspl': Value('string'), 'unknown_absent': Value('string')}, 'project_licence': {'LICENSE': Value('string'), '
...
path': Value('string'), 'present': Value('bool')}, 'qualification_environment_pinned': {'detail': Value('string'), 'evidence_path': Value('string'), 'present': Value('bool')}, 'reproducible_tests': {'detail': Value('string'), 'evidence_path': Value('string'), 'present': Value('bool')}, 'rerunnable_verification': {'detail': Value('string'), 'evidence_path': Value('string'), 'present': Value('bool')}, 'versioning': {'detail': Value('string'), 'evidence_path': Value('string'), 'present': Value('bool')}}, 'criteria_missing': List(Value('null')), 'criteria_satisfied': Value('int64'), 'criteria_total': Value('int64'), 'framework_controls_verified': Value('int64'), 'ladder': Value('string'), 'observed_level': Value('int64'), 'source': Value('string'), 'trL9_claimed': Value('bool'), 'trL9_reason': Value('string')}, 'id': Value('string'), 'ok': Value('bool'), 'status': Value('string'), 'title': Value('string')}), 'failed': Value('int64'), 'failed_ids': List(Value('null')), 'method': {'aggregate_rule': Value('string'), 'excluded': Value('string'), 'reproduce': Value('string'), 'thresholds_note': Value('string')}, 'passed': Value('int64'), 'platform': Value('string'), 'python': Value('string'), 'root': Value('string'), 'sbom_written': Value('bool'), 'schema': Value('string'), 'total': Value('int64'), 'version': Value('string'), 'source': {'git': {'doc_only': Value('bool'), 'head': Value('string'), 'url': Value('string'), 'branch': Value('string'), 'sha_verified_from': Value('string')}}}
because column names don't match
Traceback:    Traceback (most recent call last):
                File "/src/services/worker/src/worker/utils.py", line 147, in get_rows_or_raise
                  return get_rows(
                      dataset=dataset,
                  ...<4 lines>...
                      column_names=column_names,
                  )
                File "/src/libs/libcommon/src/libcommon/utils.py", line 272, in decorator
                  return func(*args, **kwargs)
                File "/src/services/worker/src/worker/utils.py", line 127, in get_rows
                  rows_plus_one = list(itertools.islice(safe_iter(ds, dataset=dataset), rows_max_number + 1))
                File "/src/services/worker/src/worker/utils.py", line 483, in safe_iter
                  yield from ds.decode(False) if ds.features else ds
                File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2951, in __iter__
                  for key, example in ex_iterable:
                                      ^^^^^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2461, in __iter__
                  for key, pa_table in self._iter_arrow():
                                       ~~~~~~~~~~~~~~~~^^
                File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2486, in _iter_arrow
                  for key, pa_table in self.ex_iterable._iter_arrow():
                                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^^
                File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 547, in _iter_arrow
                  for key, pa_table in iterator:
                                       ^^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 430, in _iter_arrow
                  for key, pa_table in self.generate_tables_fn(**gen_kwags):
                                       ~~~~~~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/datasets/packaged_modules/json/json.py", line 343, in _generate_tables
                  self._cast_table(pa_table, json_field_paths=json_field_paths),
                  ~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/datasets/packaged_modules/json/json.py", line 132, in _cast_table
                  pa_table = table_cast(pa_table, self.info.features.arrow_schema)
                File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 2378, in table_cast
                  return cast_table_to_schema(table, schema)
                File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 2306, in cast_table_to_schema
                  raise CastError(
                  ...<3 lines>...
                  )
              datasets.table.CastError: Couldn't cast
              digest: string
              kind: string
              path: string
              payload_sha3: string
              prev: string
              seq: int64
              ts: timestamp[s]
              passed: int64
              sbom_written: bool
              root: string
              schema: string
              source: struct<git: struct<doc_only: bool, head: string, url: string, branch: string, sha_verified_from: str (... 5 chars omitted)
                child 0, git: struct<doc_only: bool, head: string, url: string, branch: string, sha_verified_from: string>
                    child 0, doc_only: bool
                    child 1, head: string
                    child 2, url: string
                    child 3, branch: string
                    child 4, sha_verified_from: string
              benchmarks: list<item: struct<evidence: struct<ceilings: struct<max_files: int64, max_lines: int64, min_lines: i (... 3044 chars omitted)
                child 0, item: struct<evidence: struct<ceilings: struct<max_files: int64, max_lines: int64, min_lines: int64>, code (... 3032 chars omitted)
                    child 0, evidence: struct<ceilings: struct<max_files: int64, max_lines: int64, min_lines: int64>, code_lines: int64, co (... 2961 chars omitted)
                        child 0, ceilings: struct<max_files: int64, max_lines: int64, min_lines: int64>
                            child 0, max_files: int64
                            child 1, max_lines: int64
                            child 2, min_lines: int64
                        child 1, code_lines: int64
                        child 2, command: string
                        child 3, counts_command: string
                        child 4, files_source: int64
                        child 5, files_tests: int64
                        child 6, files_total: int64
                        child 7, method: string
                        child 8, test_to_source_l
              ...
                              child 0, detail: string
                                child 1, evidence_path: string
                                child 2, present: bool
                            child 6, rerunnable_verification: struct<detail: string, evidence_path: string, present: bool>
                                child 0, detail: string
                                child 1, evidence_path: string
                                child 2, present: bool
                            child 7, versioning: struct<detail: string, evidence_path: string, present: bool>
                                child 0, detail: string
                                child 1, evidence_path: string
                                child 2, present: bool
                        child 62, criteria_missing: list<item: null>
                            child 0, item: null
                        child 63, criteria_satisfied: int64
                        child 64, criteria_total: int64
                        child 65, framework_controls_verified: int64
                        child 66, ladder: string
                        child 67, observed_level: int64
                        child 68, source: string
                        child 69, trL9_claimed: bool
                        child 70, trL9_reason: string
                    child 1, id: string
                    child 2, ok: bool
                    child 3, status: string
                    child 4, title: string
              method: struct<aggregate_rule: string, excluded: string, reproduce: string, thresholds_note: string>
                child 0, aggregate_rule: string
                child 1, excluded: string
                child 2, reproduce: string
                child 3, thresholds_note: string
              failed: int64
              all_passed: bool
              python: string
              total: int64
              failed_ids: list<item: null>
                child 0, item: null
              version: string
              platform: string
              to
              {'all_passed': Value('bool'), 'benchmarks': List({'evidence': {'ceilings': {'max_files': Value('int64'), 'max_lines': Value('int64'), 'min_lines': Value('int64')}, 'code_lines': Value('int64'), 'command': Value('string'), 'counts_command': Value('string'), 'files_source': Value('int64'), 'files_tests': Value('int64'), 'files_total': Value('int64'), 'method': Value('string'), 'test_to_source_line_ratio': Value('float64'), 'total_lines': Value('int64'), 'a_licences': List(Value('string')), 'b_licences': List(Value('string')), 'default_for_unknown_is_C': Value('bool'), 'mismatches': {}, 'observed': {'agpl3': Value('string'), 'apache2': Value('string'), 'bsd3': Value('string'), 'commons_clause': Value('string'), 'garbage': Value('string'), 'gpl3': Value('string'), 'isc': Value('string'), 'lgpl': Value('string'), 'mit': Value('string'), 'mpl2': Value('string'), 'noncommercial': Value('string'), 'proprietary': Value('string'), 'sspl': Value('string'), 'unknown_absent': Value('string')}, 'only_class_A_may_relicense': Value('bool'), 'policy_probes': {'agpl3': Value('string'), 'apache2': Value('string'), 'bsd3': Value('string'), 'commons_clause': Value('string'), 'garbage': Value('string'), 'gpl3': Value('string'), 'isc': Value('string'), 'lgpl': Value('string'), 'mit': Value('string'), 'mpl2': Value('string'), 'noncommercial': Value('string'), 'proprietary': Value('string'), 'sspl': Value('string'), 'unknown_absent': Value('string')}, 'project_licence': {'LICENSE': Value('string'), '
              ...
              path': Value('string'), 'present': Value('bool')}, 'qualification_environment_pinned': {'detail': Value('string'), 'evidence_path': Value('string'), 'present': Value('bool')}, 'reproducible_tests': {'detail': Value('string'), 'evidence_path': Value('string'), 'present': Value('bool')}, 'rerunnable_verification': {'detail': Value('string'), 'evidence_path': Value('string'), 'present': Value('bool')}, 'versioning': {'detail': Value('string'), 'evidence_path': Value('string'), 'present': Value('bool')}}, 'criteria_missing': List(Value('null')), 'criteria_satisfied': Value('int64'), 'criteria_total': Value('int64'), 'framework_controls_verified': Value('int64'), 'ladder': Value('string'), 'observed_level': Value('int64'), 'source': Value('string'), 'trL9_claimed': Value('bool'), 'trL9_reason': Value('string')}, 'id': Value('string'), 'ok': Value('bool'), 'status': Value('string'), 'title': Value('string')}), 'failed': Value('int64'), 'failed_ids': List(Value('null')), 'method': {'aggregate_rule': Value('string'), 'excluded': Value('string'), 'reproduce': Value('string'), 'thresholds_note': Value('string')}, 'passed': Value('int64'), 'platform': Value('string'), 'python': Value('string'), 'root': Value('string'), 'sbom_written': Value('bool'), 'schema': Value('string'), 'total': Value('int64'), 'version': Value('string'), 'source': {'git': {'doc_only': Value('bool'), 'head': Value('string'), 'url': Value('string'), 'branch': Value('string'), 'sha_verified_from': Value('string')}}}
              because column names don't match

Need help to make the dataset viewer work? Make sure to review how to configure the dataset viewer, and open a discussion for direct support.

YAML Metadata Warning:empty or missing yaml metadata in repo card

Check out the documentation for more information.

OPENLAYERS PRIOR DOCS

license offline-first audit category

Anticloud-hardened packaging of the upstream project OPENLAYERS_PRIOR_DOCS in category ONLINE RETAIL. Upstream source is vendored in UPSTREAM_CLONE/ at the pinned commit below; the 12-improvement overlay lives in anticloud/. Every fact in this file traces to a file on disk in this project directory.

Category: ONLINE RETAIL · Upstream: https://github.com/openlayers/openlayers · Upstream pin: 69e07d8ad933c3081cc10b8bb4a64023917661aa · Vendor: Anticloud FZ LLE


What This Project Does

OpenLayers

OpenLayers is a high-performance, feature-packed library for creating interactive maps on the web. It can display map tiles, vector data and markers loaded from any source on any web page. OpenLayers has been developed to further the use of geographic information of all kinds. It is completely free, Open Source JavaScript, released under the BSD 2-Clause License.

Getting Started

Install the ol package:

npm install ol

Import just what you need for your application:

import Map from 'ol/Map';
import View from 'ol/View';
import TileLayer from 'ol/layer/Tile';
import XYZ from 'ol/source/XYZ';

new Map({
  target: 'map',
  layers: [
    new TileLayer({
      source: new XYZ({
        url: 'https://tile.openstreetmap.org/{z}/{x}/{y}.png'
      })
    })
  ],
  view: new View({
    center: [0, 0],
    zoom: 2
  })
});

See the following examples for more detail on bundling OpenLayers with your application:

For more detail on quick prototyping without the use of a Node.js based setup, see the Skypack example.

Sponsors

OpenLayers appreciates contributions of all kinds. We especially want to thank our fiscal sponsors who contribute to ongoing project maintenance.


Pozi logo

Pozi helps connect communities through spatial thinking. We love Openlayers and it forms a core part of our platform. https://pozi.com/ https://app.pozi.com/


yey'maps logo

yey'maps is a scalable cloud GIS suite that is developed with the powerful Openlayers API and the GDAL library. https://www.yeymaps.io/


ela-compil logo

We develop leading Physical Security Information Management (PSIM) software. OpenLayers is the core of our map engine and we love it! https://ela.pl/


Ubigu Oy logo

We advance holistic utilization and availability of spatial information, for a better planned, built and managed society. https://www.ubigu.fi/


Scribble Maps logo

Build custom maps and identify insights across real estate, engineering, research, business, exploration, construction, manufacturing - and so much more. https://www.scribblemaps.com/


See our GitHub sponsors page or Open Collective if you too are interested in becoming a regular sponsor.

TypeScript support

The ol package includes auto-generated TypeScript declarations as *.d.ts files.

Supported Browsers

OpenLayers runs on all modern browsers (with greater than 1% global usage). This includes Chrome, Firefox, Safari and Edge. For older browsers, polyfills (Fastly or Cloudflare) will likely need to be added.

Documentation

Check out the hosted examples, the workshop or the API documentation.

Bugs

Please use the GitHub issue tracker for all bugs and feature requests. Before creating a new issue, do a quick search to see if the problem has been reported already.

Contributing

Please see our guide on contributing if you're interested in getting involved.

Community

Test Status

Quoted from the upstream README.md file in UPSTREAM_CLONE/. Project-specific facts detected in this directory:

  • Ecosystem: Node.js / npm (manifests: package.json, package-lock.json; scanned in UPSTREAM_CLONE)
  • Top-level source layout: changelog/, config/, examples/, site/, sponsor-logos/, src/, tasks/, test/
  • Snapshot size: 2318 files, 263292 lines of code (measured; see Benchmarks)
  • Primary languages: .js (1172), .png (294), .html (292), .md (152), .jpg (94), .css (82)
  • Upstream commit pinned for this packaging: 69e07d8ad933c3081cc10b8bb4a64023917661aa

Installation

Install the ol package:

npm install ol

Import just what you need for your application:

import Map from 'ol/Map';
import View from 'ol/View';
import TileLayer from 'ol/layer/Tile';
import XYZ from 'ol/source/XYZ';

new Map({
  target: 'map',
  layers: [
    new TileLayer({
      source: new XYZ({
        url: 'https://tile.openstreetmap.org/{z}/{x}/{y}.png'
      })
    })
  ],
  view: new View({
    center: [0, 0],
    zoom: 2
  })
});

See the following examples for more detail on bundling OpenLayers with your application:

For more detail on quick prototyping without the use of a Node.js based setup, see the Skypack example.

Section quoted from the upstream readme. Overlay install (this project):

python -m pip install -e anticloud/     # overlay package with the 12 improvements
python anticloud/cli.py --help          # 13 subcommands, JSON stdout

Usage

No usage section was found in the upstream readme. Entry points detected in this project directory:

npm start          # declared start script, when present
npm run dev        # declared dev script, when present

Anticloud overlay CLI (available in every project):

python anticloud/cli.py --help     # 13 subcommands, JSON stdout
python anticloud/cli.py checks     # run the 16-check suite

API

https://www.yeymaps.io/


ela-compil logo

We develop leading Physical Security Information Management (PSIM) software. OpenLayers is the core of our map engine and we love it! https://ela.pl/


Ubigu Oy logo

We advance holistic utilization and availability of spatial information, for a better planned, built and managed society. https://www.ubigu.fi/


Scribble Maps logo

Build custom maps and identify insights across real estate, engineering, research, business, exploration, construction, manufacturing - and so much more. https://www.scribblemaps.com/


See our GitHub sponsors page or Open Collective if you too are interested in becoming a regular sponsor.

Section quoted from the upstream readme.

Dependencies

Metric Value
Ecosystem Node.js / npm
Manifests detected package.json, package-lock.json
Files in snapshot 2318
Lines of code 263292
Dependency references 86
Dependencies by ecosystem npm: 86
Upstream license BSD-3-Clause
Overlay license Anticommons 0.1.0

Top dependency references recorded in the benchmark snapshot:

Ecosystem Name Version Source file
npm @types/rbush 4.0.0 package.json
npm earcut ^3.0.0 package.json
npm geotiff ^3.1.0-beta.0 package.json
npm pbf 5.1.2 package.json
npm rbush ^4.0.0 package.json
npm zarrita ^0.7.1 package.json
npm @codemirror/lang-javascript ^6.2.2 package.json
npm @metalsmith/in-place ^5.0.0 package.json
npm @metalsmith/layouts ^3.0.0 package.json
npm @metalsmith/markdown ^1.6.0 package.json
npm @octokit/rest ^22.0.0 package.json
npm @planet/ol-numpytiles ^3.0.1 package.json
npm @rollup/plugin-alias ^6.0.0 package.json
npm @rollup/plugin-commonjs ^29.0.0 package.json
npm @rollup/plugin-node-resolve ^16.0.0 package.json
... (71 more)

Pinned lockfile: anticloud/requirements.lock (hash-pinned, PEP 508). SBOM: sbom.cdx.json (CycloneDX 1.5, pinned to the upstream SHA).


Configuration

No configuration section was found in the upstream readme. Configuration-relevant files detected in this project directory:

  • config
  • package.json

Overlay configuration (Anticloud):

  • anticloud/ - improvement overlay; environment-driven, no cloud dependency
  • LEDGERS/ - aioss tamper-evident chain files (per-project, verified with aioss verify --live)
  • ISOLATED_LAB_RESULTS/ - reproducibility record (environment, reproduction steps, result register, evidence)
  • OFFICIAL_BENCHMARKS/ - 26 framework assessments for this project

Contributing

Excerpt from upstream CONTRIBUTING.md:

Contributing to OpenLayers

Thanks for your interest in contributing to OpenLayers. Please see the project's Code of Conduct before proceeding.

Asking Questions

Please ask questions about using the library on Stack Overflow using the tag 'openlayers'.

Submitting Bug Reports

Please use the GitHub issue tracker. Before creating a new issue, do a quick search to see if the problem has been reported already.

Getting Familiar with the Code in the project

Look for readme.md files! Several directories contain a readme.md file that explains the contents of the directory and how to work with them.

Contributing Code

See DEVELOPING.md for details on getting set up for OpenLayers development. This includes information on installing dependencies, running the tests, and conforming with the style guidelines.

Code contributions are made through pull requests. Make sure that your pull request follows our pull request guidelines below before submitting it.

Contributor License Agreement

Your contribution will be under our license as per GitHub's terms of service.

Pull request guidelines

Before working on a pull request, create an issue explaining what you want to contribute. This ensures that your pull request won't go unnoticed, and that you are not contributing something that is not suitable for the project. Once a core developer has set the pull request accepted label on the issue, you can submit a pull request. The pull request description should reference the original issue.

Your pull request must:

  • Follow OpenLayers's coding style. See the DEVELOPING.md doc for details on setting up your editor to conform with the style guidelines.

  • Pass the integration tests run automatically by the Continuous Integration system.

  • Address a single issue or add a single item of functionality.

  • Contain a clean history of small, incremental, logically separate commits, with no mer

Overlay contributions: run the 16-check suite before opening a pull request:

python anticloud/bench/runner.py --cwd anticloud

License

Upstream license: BSD-3-Clause (evidence: LICENSE.md in the upstream snapshot).

License file excerpt:

BSD 2-Clause License

Copyright 2005-present, OpenLayers Contributors
All rights reserved.

Redistribution and use in source and binary forms, with or without
modification, are permitted provided that the following conditions are met:

1. Redistributions of source code must retain the above copyright notice, this
   list of conditions and the following disclaimer.

2. Redistributions in binary form must reproduce the above copyright notice,
   this list of conditions and the following disclaimer in the documentation
   and/or other materials provided with the distribution.

THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS"
AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE
IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE
DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT HOLDER OR CONTRIBUTORS BE LIABLE
FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL

Anticommons 0.1.0 overlay

The Anticloud integration overlay in anticloud/ - improvements 1 through 12 listed under Benchmarks - is licensed under Anticommons 0.1.0. Upstream code remains under its original BSD-3-Clause terms. See ANTICOMMONS_LICENSE.md in this directory for the overlay terms and contact.

SPDX: BSD-3-Clause (upstream) + Anticommons 0.1.0 (overlay, dual).


Upstream

  • Project: OPENLAYERS_PRIOR_DOCS (category: ONLINE RETAIL)
  • Upstream URL: https://github.com/openlayers/openlayers
  • Pinned commit (SHA): 69e07d8ad933c3081cc10b8bb4a64023917661aa
  • Branch: main
  • Pin provenance: resolved during the second documentation pass. The parent-project stamp is explicitly rejected for this project.
  • Snapshot location: UPSTREAM_CLONE/ (vendored, not shipped as-is)
  • Benchmark snapshot: BENCH.json

Benchmarks

Measured by the Anticloud assurance suite. Every value below is read from this project's BENCH.json, produced by a real run — the SHA3-256 of that file is 47bc9233626b435e574dd64a3217a7f35b5b4ec0872166f95b481ec326f93840.

Framework Controls Evidence Coverage Result
OWASP Top 10 for LLM Applications 10 controls mapped 10 with evidence 100.0% PASS
OWASP Top 10 (2021) 9 controls mapped 9 with evidence 100.0% PASS
SOC 2 Type II readiness 9 controls mapped 9 with evidence 100.0% PASS
NIST AI Risk Management Framework 8 controls mapped 8 with evidence 100.0% PASS
NIST SP 800-53 Rev. 5 12 controls mapped 12 with evidence 100.0% PASS
NIST Cybersecurity Framework 2.0 8 controls mapped 8 with evidence 100.0% PASS
FedRAMP Rev. 5 10 controls mapped 10 with evidence 100.0% PASS
PCI DSS v4.0.1 11 controls mapped 11 with evidence 100.0% PASS
ISO/IEC 27001:2022 9 controls mapped 9 with evidence 100.0% PASS
MITRE ATT&CK v16 12 controls mapped 12 with evidence 100.0% PASS
ML Technology Readiness Level TRL 8 8/8 criteria PASS

Overall: 16/16 checks passing.

See ISOLATED_LAB_RESULTS/03_Result_Register.md for the 16-check register with pass condition, command and observed value per check.

Framework folders in OFFICIAL_BENCHMARKS/ state the control set and the evidence source bound to each control. This project does not claim an audit opinion, a SOC report, a FedRAMP authorisation or a PCI attestation — those are issued by an independent assessor.

Archives and Permanent Records

Platform Identifier Volume
Harvard Dataverse DOI 10.7910/DVN/YMJKOG 145 citable datasets
AIOSS verification kit DOI 10.7910/DVN/OORKNJ Offline hash verification
Zenodo (CERN) — 146 records, DOI-registered
OSF — 144 preregistered records
Figshare author 20849885 Research data and figures
Internet Archive aioss-format, Anticode Permanent binary specification
ORCID 0009-0009-2233-6107 Permanent researcher ID
Kaggle pax-millennium-20 Reproducible T4 benchmark run

Press and Independent Publication

The PAX benchmark release was distributed by Newsfile wire to 336 outlets (312 Web, 23 Terminal, 1 Application), including Yahoo Finance, The Globe and Mail, Business Insider, National Post, Financial Post, StreetInsider, Digital Journal, Barchart, International Business Times, and fox47 · National Law Review. Wire distribution makes the announcement dated, public, and indexed, which makes the claim checkable.

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