pyFC is a module to construct “fractal cubes” that are useful for initial conditions in hydrodynamical simulations representing a dense, inhomogeneous component embedded in a more tenuous smooth background. Examples include clouds in earth’s athmosphere or the multiphase interstellar medium in galaxies.
Classes and functions are provided to create and visualize single-point lognormal, two-point fractal fields, statistics often associated with turbulent, dense condensations.
The method of creating lognormal “fractal cubes” was conceived by Lewis & Austin (2002) for the modeling of clouds in the earth’s atmosphere. The scheme of this code is based on that outlined in their paper.
1 maintainer
Metadata
1 maintainer
Release files for pyFC 0.1.7
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | Provenance | Actions |
|---|---|---|---|---|
| pyFC-0.1.7.tar.gz | 2.5 MB | Without provenance | Details for pyFC-0.1.7.tar.gz |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Actions Reset |
|---|---|---|---|---|
| pyFC-0.1.7-py3-none-any.whl | Python 3 | none | any | Details for pyFC-0.1.7-py3-none-any.whl |
Total release size: 2.5 MB
Release files / pyFC-0.1.7.tar.gz
| Download URL | pyFC-0.1.7.tar.gz |
|---|---|
| Size | 2.5 MB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
1455ec66dc1a851bac185802e3b7b783d00259786f96836bdc6caf09c91c2de2
|
|
BLAKE2b-256 checksum How to use checksums |
e3f6df62168b1b32362cfbfcf4fb2203f9c73063d64243ebeefc25d01ed4fdab
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/3.2.0 pkginfo/1.5.0.1 requests/2.24.0 setuptools/47.1.1 requests-toolbelt/0.9.1 tqdm/4.46.1 CPython/3.8.2
|
Release files / pyFC-0.1.7-py3-none-any.whl
| Download URL | pyFC-0.1.7-py3-none-any.whl |
|---|---|
| Size | 26.1 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
c6ed5f9e1065d7630b8a4d3fc617c5abb2873b322e50bd84c555ddf68755c0b9
|
|
BLAKE2b-256 checksum How to use checksums |
f7292564539bc0254d26617c2df9249c1a036d2cda66209bc06671ca225e66ab
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/3.2.0 pkginfo/1.5.0.1 requests/2.24.0 setuptools/47.1.1 requests-toolbelt/0.9.1 tqdm/4.46.1 CPython/3.8.2
|
Security for pyFC 0.1.7
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.
