Skip to main content

Base simulation and optimization modules for J40 tool

Project description

* Copyright Notice *

Justice 40 Tool (J40 Tool) Copyright (c) 2023, The Regents of the University of California, through Lawrence Berkeley National Laboratory (subject to receipt ofany required approvals from the U.S. Dept. of Energy). All rights reserved.

If you have questions about your rights to use or distribute this software, please contact Berkeley Lab’s Intellectual Property Office at IPO@lbl.gov.

NOTICE. This Software was developed under funding from the U.S. Department of Energy and the U.S. Government consequently retains certain rights. As such, the U.S. Government has been granted for itself and others acting on its behalf a paid-up, nonexclusive, irrevocable, worldwide license in the Software to reproduce, distribute copies to the public, prepare derivative works, and perform publicly and display publicly, and to permit others to do so.


# J40 Tool model

## Prerequisites You need to run python 3.8 or higher. You can install the required packages with

pip install -r requirements.txt next you should install any pyomo-compatible linear optimization solver for example, you can install glpk along with pyomo using conda: conda install -c conda-forge glpk

## Input Files

  • The community files and geo files are published separately

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

j40model-1.0.0.tar.gz (9.0 kB view details)

Uploaded Source

Built Distribution

j40model-1.0.0-py3-none-any.whl (13.8 kB view details)

Uploaded Python 3

File details

Details for the file j40model-1.0.0.tar.gz.

File metadata

  • Download URL: j40model-1.0.0.tar.gz
  • Upload date:
  • Size: 9.0 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.2 CPython/3.11.5

File hashes

Hashes for j40model-1.0.0.tar.gz
Algorithm Hash digest
SHA256 3ec52c39c98ce0d7e1e6a40306fa78260bd39c13d42756ef912dfad989b99ba8
MD5 b23f3edb1d2de3485d301fa9c8ac2e41
BLAKE2b-256 6eff8a65b16c9d36a57c1f7443e85fdc37874cced31bafcdf66ecbec6a76344f

See more details on using hashes here.

File details

Details for the file j40model-1.0.0-py3-none-any.whl.

File metadata

  • Download URL: j40model-1.0.0-py3-none-any.whl
  • Upload date:
  • Size: 13.8 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.2 CPython/3.11.5

File hashes

Hashes for j40model-1.0.0-py3-none-any.whl
Algorithm Hash digest
SHA256 9bba1cb659d71a9939741b40eaaf587b8e0e2e1ed671a9682d2c7f8ba97617b4
MD5 9fbed92bca0b0c5cce2ef5ef06b1a6bc
BLAKE2b-256 21ee76dc6b680261b2f6a34cda096a53668e37107a16b6b2f87ee85f2d75d4e3

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page