Skip to main content

ecosemantic-engine

The lowest distribution of the EcoSemantic core: the product-system vocabulary, the typed errors every other distribution raises, and the exact life cycle assessment computation over a compiled background.

Names it publishes

  • ecosemantic.model — the vocabulary a product system is made of: its entities, the refs that name what it reaches, the units the core knows, the structural validation a system passes before a calculation runs, the result-relevant projection a version hash names, and the summary an answer keeps of itself.
  • ecosemantic.errors — the typed errors, EcoSemanticError and the refusals under it: a layer that cannot answer raises rather than approximates.
  • ecosemantic.engine — the computation: background compiles a database into labelled memory-mapped arrays, solver makes the forward and adjoint solves from one factorisation, calculation reads scores, contributions, intensities, supply, inventory and paths from one solve, foreground gives a product system its columns over that background, paths walks the supply chain under one process, montecarlo takes each draw from the seed and the draw's index, loops judges the technosphere loops a draw is checked on, and refine refines a sparse solve.

What it depends on

pydantic, numpy and scipy, and nimblend for the memory-mapped arrays a background is compiled into. The mkl extra adds pypardiso, on Linux x86-64 and Windows x86-64, where MKL publishes wheels.

Installing it

pip install ecosemantic installs this distribution with the other five and the ecosemantic command. pip install ecosemantic-engine installs it alone, for code that builds on the vocabulary and the engine without a server; pip install "ecosemantic-engine[mkl]" adds the solver.

Licence

PolyForm Noncommercial License 1.0.0, copyright Carlos Gaete-Morales: LICENSE and NOTICE in this distribution. Any noncommercial purpose is permitted, by individuals and by charities, schools, public research and government bodies; commercial use needs a separate licence from him (cdgaete@gmail.com). EcoSemantic is his trademark, and the licence grants no right to use that name (TRADEMARK.md in the repository). The code is published from https://github.com/cdgaete/ecosemantic.

Metadata

Release files for ecosemantic-engine 0.1.12

For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.

Source distribution (sdist)

Source distribution for ecosemantic-engine 0.1.12
File Size Uploaded Provenance Actions
ecosemantic_engine-0.1.12.tar.gz 39.4 kB Without provenance Details for ecosemantic_engine-0.1.12.tar.gz

Built distribution (wheel)

Table of built distributions (wheels) for ecosemantic-engine 0.1.12
File Interpreter ABI Platform Actions
ecosemantic_engine-0.1.12-py3-none-any.whl Python 3 none any Details for ecosemantic_engine-0.1.12-py3-none-any.whl

Total release size: 88.2 kB

Release files / ecosemantic_engine-0.1.12.tar.gz

Download URL ecosemantic_engine-0.1.12.tar.gz
Size 39.4 kB
Tags Source
SHA-256 checksum
How to use checksums
75206b5ddb2b3492f96cc0945a7fc9cc2b63750d1a3fe7e12780f57e6351fcda
BLAKE2b-256 checksum
How to use checksums
35904fa7dd51863f5660e012e35f6448b9abe6f217ebc6c001611b73ebbf8037
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/7.0.0 CPython/3.14.4

Release files / ecosemantic_engine-0.1.12-py3-none-any.whl

Download URL ecosemantic_engine-0.1.12-py3-none-any.whl
Size 48.8 kB
Tags Python 3
SHA-256 checksum
How to use checksums
464d20b56d82d7dac0e1c56a88bff05a27497c86df3146c568745e4264d338ab
BLAKE2b-256 checksum
How to use checksums
15af7f7ed2563fddd1d0abd86bbe611729d2be3a13d23bd2a5d726f0553ef192
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/7.0.0 CPython/3.14.4

Security for ecosemantic-engine 0.1.12

Provenance

Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.

No provenance found

None of the files in this release were uploaded with provenance metadata.

A note on package security

PyPI is a repository for distributing packages, not a service for auditing them. While third-party security researchers and our staff do their best to detect and remove malicious packages, PyPI cannot guarantee the quality, security or suitability of any given package.

To learn more about protecting yourself from malicious actors, visit our package security documentation.

Anthropic, PBC Visionary sponsor Bloomberg Visionary sponsor Hudson River Trading Visionary sponsor Meta Visionary sponsor NVIDIA Visionary sponsor Microsoft Sustainability sponsor Depot Continuous Integration AWS Cloud computing and Security Sponsor Datadog Monitoring Fastly CDN Google Download Analytics Sentry Error logging StatusPage Status page