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-0.1.10.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-0.1.10-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-0.1.10.tar.gz.

File metadata

  • Download URL: indica-0.1.10.tar.gz
  • Upload date:
  • Size: 6.3 MB
  • Tags: Source
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: twine/6.1.0 CPython/3.12.8

File hashes

Hashes for indica-0.1.10.tar.gz
Algorithm Hash digest
SHA256 1ab2b951c475186cfb6acdedaa03f50868dc154b0c7d253eb648d4a0dfce8067
MD5 696bd25aebc85837d1ddef9d99fb2b19
BLAKE2b-256 05008fc47fb7001a2d786ab37cff1acd8a5dd5fd4b212866dba9c0f93f4f5ff2

See more details on using hashes here.

Provenance

The following attestation bundles were made for indica-0.1.10.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-0.1.10-cp311-cp311-manylinux_2_39_x86_64.whl.

File metadata

File hashes

Hashes for indica-0.1.10-cp311-cp311-manylinux_2_39_x86_64.whl
Algorithm Hash digest
SHA256 60324734c78ef0b7a6e17575201f2b36a27e3f878926683a3505c5d02be55195
MD5 6449035fedf8bd3b9782d3cb648d3bc9
BLAKE2b-256 aca0db0fa42323b24371e566fb41a2d5231305b53a3e220169e790d05f72c9bc

See more details on using hashes here.

Provenance

The following attestation bundles were made for indica-0.1.10-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