Skip to main content
File added late

1 file was added to this release more than 14 days after its initial publication. Inspect the release files before installing.

Readme file

Implementations and versions

  • Implementations in the current version (Beta 0.1):
    • Grain shapes: Implemented CDE grains

    • Grain sizes: single grain size

    • Optical constants in database: olivine (amorph and crystalline), carbon, ices

    • Benchmarked with Michiels code (Min et al 2009)

  • Next version (Beta 1.0)
    • Grain shapes: implement MIE and CDE grains

    • Grain sizes: single grain size

    • Optical constants in database:
      • silicates (olivine and pyroxene, amorph and crystalline)

      • oxides

      • carbon

      • ices

      • Able to use your own optical constants

  • Future versions:
    • Grain shapes: implement MIE, DHS, GRF and CDE grains

    • Grain sizes: single grain size and grain size distributions

    • Optical constants in database:
      • Full JENA database avaliable in the SQLite database

      • Able to use your own optical constants

    • Other functions:
      • Enable saving of the opacities in a local SQLite DB

Installation:

  • PyPi:

    run: pip install opacity_calculator

  • Github
    • Download the files from github. Inside the opacity_calculator directory type (if you need permissions, with sudo): python setup.py install

    • To test if it works type python to go into python and then “import opacity_calculator”

Introduction

Coming…

Getting started: an example

If you have the opacity_calculator installed and want to test how it works and plot a spectrum with the matplotlib package. Go into python and type:
  • import opacity_calculator as oc

  • opacitiesForsterite = oc.getOpacity(“fo050”, 1.0, print_console_output = True)

  • import matplotlib.pyplot as plt

  • plt.plot(opac.getX(), opac.getY())

  • plt.show)

If you want to try another mineral, check the content of the database in the following way:
  • import opacity_calculator as oc

  • oc.printDatabase()

  • You can use the labels in the label column to generate opacities with the getOpacity function.

General code structure and classes

Classes & Files

  • Package and python scripts
    • __init__.py

    • main.py

  • DataClasses:
    • DataClass_SQLData.py

    • DataClass_OpticalConstants.py

    • DataClass_Opacity.py

  • Calculators
    • Calculator_CDE.py

    • Calculator_MIE.py

    • Calculator_DHS.py

  • Database files:
    • SQLITE_DATABASE.db

Databases and table structure

  • Filename: SQLITE_DATABASE.db

  • Table: OpticalConstantsTable

Metadata

Release files for opacity_calculator 0.1

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

File added late

1 file was uploaded more than 14 days after the first file in this release.

While project maintainers occasionally add legitimate files to an existing release, late additions can also indicate a security compromise.

We recommend inspecting the release files before installing.

Source distribution (sdist)

Source distribution for opacity_calculator 0.1
File Size Uploaded Provenance
opacity_calculator-0.1.tar.gz 6.2 MB Without provenance Details

Release files / opacity_calculator-0.1.tar.gz

File added late

This file was uploaded more than 14 days after the first file in this release.

While project maintainers occasionally add legitimate files to an existing release, late additions can also indicate a security compromise.

We recommend inspecting the release file before installing.

Download URL opacity_calculator-0.1.tar.gz
Size 6.2 MB
Tags Source
SHA-256 checksum
How to use checksums
34c02cc3a69cf8d82ce44bfa22dff95509e4f14907ab431ba14d92fb955e8c21
BLAKE2b-256 checksum
How to use checksums
b1fd984f5ac0bb9bcbf6624eb9fb3d37a7ca0a0cfd0ef4e7a034e7eacaa4acac
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No

Security for opacity_calculator 0.1

Upload timing

File added late

1 file was uploaded more than 14 days after the first file in this release.

While project maintainers occasionally add legitimate files to an existing release, late additions can also indicate a security compromise.


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.

Release history Release notifications | RSS feed

This release

0.1 This release

1 release file No provenance

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