README.md

LOOPSTRUCTURAL

Governed Anticloud packaging of the upstream project LOOPSTRUCTURAL in category MINING. check results: see ISOLATED_LAB_RESULTS. Every number below traces to a named file + run stamp; nothing is borrowed from other projects.

Upstream: https://github.com/Loop3D/LoopStructural · Upstream pin: 6546d8811ef4d4e3c11b956eed85cd24ee5b3f90 · Category: MINING · Vendor: Anticloud FZ LLE · Licence: MIT

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What This Project Does

LoopStructural: Loop3D Implicit Geological Modelling

Overview

LoopStructural is an opensource Python library for 3D geological modelling. The library has been built in the scope of the Loop project (Loop3d.org). LoopStructural can:

• Model fault networks integrating fault kinematics and overprinting relationships
• Model folds using structural elements (fold axis, fold axial surface) for multiple fold events
• Use different implicit interpolation algorithms (Finite Difference, Piecewiese Linear, RBF)
• Export models to vtk, geoh5, omf, gocad, csv, obj formats
• Visualise models in an interactive python environment.

Installation

Google colab

LoopStructural can be used inside a google colab notebook, however interactive visualisation using kitware trame does not work. Only static plots can be displayed.

Pip

pip install loopstructural

Optional dependencies are:

• loopstructuralvisualisation (wrapper for pyvista to interface with loopstructural objects)
• pyvista (3D visualisation)
• geoh5py (export to .geoh5 format)
• mira-omf (export to .omf format to load in Leapfrog)
• pyevtk
• dill (serialize loop models to a pickle file)
• tqdm (progress bars)
• loopsolver (experimental solver for admm inequality constraints)

You can install all of the optional dependencies using: pip install loopstructural[all]

conda

conda install -c conda-forge -c loop3d loopstructural

to install the working 3D visualisation environment conda install -c conda-forge -c loop3d loopstructural loopstructuralvisualisation pyvista trame trame-vtk trame-vuetify

Quickstart

• A basic geological model

from LoopStructural import GeologicalModel
from LoopStructural.geometry import BoundingBox
from LoopStructural.visualisation import Loop3DView
from LoopStructural.datasets import load_claudius

import numpy as np
data, bb = load_claudius()

#bb constaints origin and maximum of axis aligned bounding box
#data is a pandas dataframe with X,Y,Z,val,nx,ny,nz, feature_name

model = GeologicalModel(bb[0,:],bb[1,:])
model.data = data
# nelements specifies the number of discrete interpolation elements
# 'stratí' is the feature name in the data dataframe
model.create_and_add_foliation('strati',nelements=1e5)
model.update()
# get the value of the interpolator at some random locations
locations = np.array(
    [
        np.random.uniform(bb[0, 0], bb[1, 0],5),
        np.random.uniform(bb[0, 1], bb[1, 1],5),
        np.random.uniform(bb[0, 2], bb[1, 2],5),
    ]
).T
val = model.evaluate_feature_value('strati', locations)
# get the gradient of the interpolator
gradient = model.evaluate_feature_gradient('strati',locations)

#Plot the scalar field of the model
model['strati'].scalar_field().plot()

Documentation

The LoopStructural documentation can be found here

Problems

Any bugs/feature requests/comments please create a new issue.

Acknowledgements

The Loop platform is an open source 3D probabilistic geological and geophysical modelling platform, initiated by Geoscience Australia and the OneGeology consortium. The project is funded by Australian territory, State and Federal Geological Surveys, the Australian Research Council and the MinEx Collaborative Research Centre.

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Installation

See the upstream documentation quoted in What This Project Does above.

Usage

• Export models to vtk, geoh5, omf, gocad, csv, obj formats
• Visualise models in an interactive python environment.

API

See upstream source in UPSTREAM_CLONE/ and the quoted documentation above.

Dependencies

Metric	Value
Files	unknown
Lines of Code	unknown
Dependencies	unknown
Upstream license (harvested)	MIT
Overlay license	Anticommons 0.1.0

Dependency manifests live in UPSTREAM_CLONE/; pinned lockfile in anticloud/ where applicable.

Configuration

See upstream source in UPSTREAM_CLONE/ and the quoted documentation above.

Contributing

Fork the project, create a feature branch, run the test suite, and open a pull request against upstream.

License

Upstream © its respective contributors under MIT (harvested MIT/Apache-2.0/BSD source; see UPSTREAM_CLONE/LICENSE). This packaging overlay is licensed under Anticommons 0.1.0.

Upstream

• project: https://github.com/Loop3D/LoopStructural
• Pinned SHA: 6546d8811ef4d4e3c11b956eed85cd24ee5b3f90
• source: UPSTREAM_CLONE/ (pinned at the SHA above)
• Upstream README source: UPSTREAM_CLONE/README.md

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 fc323584ca0d46fc97c83e86505428f824ca33432d38cd0c9bb0056893cf7c59.

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.