Skip to main content

No project description provided

Reason this release was yanked:

Bugged

Project description

iricore

A fork of iri2016. iricore implements a couple of optimizations to the iri2016 core Fortran code and Python interface to make it faster:

  1. Optimization of data files reading gives boost in case of iteration over large list of coordinates;
  2. f2py interface provides faster communication between Python and Fortran.

Overall, this gives performance boost up to ~100x (see examples/comparison.py).

Important! Because this package is mainly used for the MIST experiment, the iricore cuts off calculation of unnecessary atmospheric parameters available in iri2016, leaving only electron density and electron temperature. All other parameters can be restored on demand (please contact me).

Installation

This package proved to work under Linux only (due to compilation difficulties in Windows). If you are using Windows - consider installing WSL.

Prerequisites

  • Git
sudo apt instal git
  • Fortran compiler, e.g. gfortran
sudo apt isntall gfortran

Installing package

Now you can simply install it via pip:

python3 -m pip install iricore

Data files

IRI2016 model depends on data files which are regularly updated. iricore does not autoupdate those, but provides tool for quick update. You can run from terminal

python3 -c "import iricore; iricore.update()"

or add

import iricore
iricore.update()

to any Python script.

Usage

For usage examples see examples/.

Project details


Release history Release notifications | RSS feed

Download files

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

Source Distribution

iricore-1.2.4.tar.gz (3.4 MB view details)

Uploaded Source

Built Distribution

iricore-1.2.4-cp39-cp39-manylinux_2_35_x86_64.whl (6.8 MB view details)

Uploaded CPython 3.9 manylinux: glibc 2.35+ x86-64

File details

Details for the file iricore-1.2.4.tar.gz.

File metadata

  • Download URL: iricore-1.2.4.tar.gz
  • Upload date:
  • Size: 3.4 MB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: poetry/1.2.2 CPython/3.9.15 Linux/5.15.0-56-generic

File hashes

Hashes for iricore-1.2.4.tar.gz
Algorithm Hash digest
SHA256 c8fbe1960d04cbf070d3394b12f0cfaff9da71bf44550c4081b2d28fe74aa721
MD5 9f86c161c3d30bb5cf1697910a53b0af
BLAKE2b-256 717fe30506a5fb8a2e0614b274f6e76c7f593ed01c5a5bc602772746f2d10549

See more details on using hashes here.

File details

Details for the file iricore-1.2.4-cp39-cp39-manylinux_2_35_x86_64.whl.

File metadata

  • Download URL: iricore-1.2.4-cp39-cp39-manylinux_2_35_x86_64.whl
  • Upload date:
  • Size: 6.8 MB
  • Tags: CPython 3.9, manylinux: glibc 2.35+ x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: poetry/1.2.2 CPython/3.9.15 Linux/5.15.0-56-generic

File hashes

Hashes for iricore-1.2.4-cp39-cp39-manylinux_2_35_x86_64.whl
Algorithm Hash digest
SHA256 1f98b7cbe07b623a638a7634450dd16fa8e7e386792d4d4d2a96ed3712b0170e
MD5 2a318ff2b72669f5df0b974ad639551d
BLAKE2b-256 b6088afc67d30766487b23cf5e87c4a6bc1356c53937ab4e451708e16231ada3

See more details on using hashes here.

Supported by

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