Skip to main content
Pre-release

This release is a pre-release and may not be stable for production use.

SNOWSHEWS: Supernova NeutrinO SHockwave Effects With SNEWPY

image Image by dreamstudio.ai

Installation Instructions

  1. You will need the packages python-devel (in Linux), pybind11 and setuptools

  2. Modify setup.py to use the correct libraries and paths.

  3. To compile enter

sudo python3 setup.py install
  1. If you don't want to sudo you may want to use the option
--install-lib=destination/directory/

Troubleshooting:

  1. You may have to set the PYTHONPATH environment variable to your PWD and/or wherever the SNOSHEWS module was installed

  2. If the script cannot find the module you may need to put the *.so library in the same directory as your script. The *.so library is in one of the subfolders in the build directory.

  3. SNOSHEWS uses OpenMP. You may want to set the OMP_NUM_THREADS environment variable to a reasonable number for your machine.

Metadata

Release files for SNOSHEWS 1.0a1

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

Source distribution (sdist)

Source distribution for SNOSHEWS 1.0a1
File Size Uploaded Provenance Actions
snoshews-1.0a1.tar.gz 123.1 kB Without provenance Details for snoshews-1.0a1.tar.gz

Built distributions (wheels)

Table of built distributions (wheels) for SNOSHEWS 1.0a1
File Interpreter ABI Platform Actions
SNOSHEWS-1.0a1-cp312-cp312-macosx_10_9_universal2.whl CPython 3.12 CPython 3.12 macOS 10.9+ universal2 (ARM64, x86-64) Details for SNOSHEWS-1.0a1-cp312-cp312-macosx_10_9_universal2.whl
SNOSHEWS-1.0a1-cp311-cp311-macosx_10_9_universal2.whl CPython 3.11 CPython 3.11 macOS 10.9+ universal2 (ARM64, x86-64) Details for SNOSHEWS-1.0a1-cp311-cp311-macosx_10_9_universal2.whl
SNOSHEWS-1.0a1-cp310-cp310-macosx_10_9_universal2.whl CPython 3.10 CPython 3.10 macOS 10.9+ universal2 (ARM64, x86-64) Details for SNOSHEWS-1.0a1-cp310-cp310-macosx_10_9_universal2.whl

Total release size: 2.6 MB

Release files / snoshews-1.0a1.tar.gz

Download URL snoshews-1.0a1.tar.gz
Size 123.1 kB
Tags Source
SHA-256 checksum
How to use checksums
19211690c3af77e083d634ea5d6dbf086d2387c7eee86ed32e98522ee3774abf
BLAKE2b-256 checksum
How to use checksums
49bcb4fb217eb83192ce53822c53cad48efc1ecd9b0fbd574d931e3d366e71fd
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
Yes
Uploaded via twine/5.1.0 CPython/3.12.5

Release files / SNOSHEWS-1.0a1-cp312-cp312-macosx_10_9_universal2.whl

Download URL SNOSHEWS-1.0a1-cp312-cp312-macosx_10_9_universal2.whl
Size 812.4 kB
Tags CPython 3.12 macOS 10.9+ universal2 (ARM64, x86-64)
SHA-256 checksum
How to use checksums
d6c3fd3a015add4e2f42d161e822dfbb8d51550afb2bfbe09dbae0da8f5f5053
BLAKE2b-256 checksum
How to use checksums
e158813085f28208f34686d0f20dfc418c3413f84599a599eb494b358287bb7c
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
Yes
Uploaded via twine/5.1.0 CPython/3.12.5

Release files / SNOSHEWS-1.0a1-cp311-cp311-macosx_10_9_universal2.whl

Download URL SNOSHEWS-1.0a1-cp311-cp311-macosx_10_9_universal2.whl
Size 813.7 kB
Tags CPython 3.11 macOS 10.9+ universal2 (ARM64, x86-64)
SHA-256 checksum
How to use checksums
23f1fc7c9878db9c778f24695fda250d5986ef3b77ebab683dac2bfd42e65442
BLAKE2b-256 checksum
How to use checksums
952dfa0d689bec39bd2b2b17164e1be72274ecfcfa0cb8f391144905baf190f3
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
Yes
Uploaded via twine/5.1.0 CPython/3.12.5

Release files / SNOSHEWS-1.0a1-cp310-cp310-macosx_10_9_universal2.whl

Download URL SNOSHEWS-1.0a1-cp310-cp310-macosx_10_9_universal2.whl
Size 811.1 kB
Tags CPython 3.10 macOS 10.9+ universal2 (ARM64, x86-64)
SHA-256 checksum
How to use checksums
46375b4c3570c860c9ee00d790913a28bcfa8f6923107608c82c45c3ef078e21
BLAKE2b-256 checksum
How to use checksums
f0b0c500222129c00ed815170b7eadd044806779f35703e3765779a3e1ae5f94
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
Yes
Uploaded via twine/5.1.0 CPython/3.12.5

Security for SNOSHEWS 1.0a1

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
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