Skip to main content

INtegrated DIagnostiC Analysis

Project description

InDiCA

Documentation Status tests linting codecov

InDiCA (Integrated DiagnostiC Analysis) is a tool which allows to perform and combine the analysis of a large number of different diagnostics from Magnetic Confined Fusion (MCF) plasma devices. It will consist of a library of functions to analyse different diagnostic systems under a common framework, and a set of workflows to combine these measurements.

The overall design work has been completed and the general functionality implemented, but the library is still under active development.

Creation of development environment

  1. Upgrade pip:

    • pip install --upgrade pip
  2. Create a virtual environment with python 3.11 and activate it, e.g. using conda:

    • set_global_conda
    • conda create --name ENV_NAME python=3.11
    • conda activate ENV_NAME
  3. Install poetry and environment dependencies:

    • pip install poetry==1.7
    • poetry install
  4. For mdsplus building and installation, e.g. from a local mdsplus directory:

    • cp -r /usr/local/mdsplus/mdsobjects/python mdsPython
    • cd mdsPython
    • python setup.py build
    • python setup.py install
    • cd ../
    • rm -r mdsPython

License

InDiCA is distributed under the GNU General Public License version 3 or, at your option, any later version.

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

indica-0.1.13.tar.gz (6.3 MB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

indica-0.1.13-cp311-cp311-manylinux_2_39_x86_64.whl (3.1 MB view details)

Uploaded CPython 3.11manylinux: glibc 2.39+ x86-64

File details

Details for the file indica-0.1.13.tar.gz.

File metadata

  • Download URL: indica-0.1.13.tar.gz
  • Upload date:
  • Size: 6.3 MB
  • Tags: Source
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: twine/6.1.0 CPython/3.12.9

File hashes

Hashes for indica-0.1.13.tar.gz
Algorithm Hash digest
SHA256 89efc0852b178f80247965dbffcadbb773fd4344c2792a2374ad5ab2acd585f0
MD5 c1ebfc2acdd23cc1a6daf7db854ebf8a
BLAKE2b-256 f79c46f5c3c4c3f8c413a88ea252534af4c0394188e62a8c1f796ab0702f8fb7

See more details on using hashes here.

Provenance

The following attestation bundles were made for indica-0.1.13.tar.gz:

Publisher: publish.yml on indica-mcf/Indica

Attestations: Values shown here reflect the state when the release was signed and may no longer be current.

File details

Details for the file indica-0.1.13-cp311-cp311-manylinux_2_39_x86_64.whl.

File metadata

File hashes

Hashes for indica-0.1.13-cp311-cp311-manylinux_2_39_x86_64.whl
Algorithm Hash digest
SHA256 e1a9de14f42b6e2e94ad431cfaa8704c5a73752c34a0d8f041a78968af8569e4
MD5 a5fb709edc2e6b2e5f040e605318184f
BLAKE2b-256 c8ca763cdac0928d5a625d2b728e5325b61975366bbd155c81b5bc1453142a0e

See more details on using hashes here.

Provenance

The following attestation bundles were made for indica-0.1.13-cp311-cp311-manylinux_2_39_x86_64.whl:

Publisher: publish.yml on indica-mcf/Indica

Attestations: Values shown here reflect the state when the release was signed and may no longer be current.

Supported by

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