Skip to main content

No project description provided

Project description

pygenray

PyPI - Version Documentation Status DOI

A python package for simulated 2D ray-based acoustic propagation underwater. This package is designed for Acoustic Tomography, and is primarily interested in calculating accurate ray paths and arrival times. This code does not attempt to compute transmission loss.

Table of Contents

Installation

pip install pygenray

License

pygenray is distributed under the terms of the MIT license.

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

pygenray-0.0.6.tar.gz (344.0 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

pygenray-0.0.6-py3-none-any.whl (25.3 kB view details)

Uploaded Python 3

File details

Details for the file pygenray-0.0.6.tar.gz.

File metadata

  • Download URL: pygenray-0.0.6.tar.gz
  • Upload date:
  • Size: 344.0 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: twine/6.1.0 CPython/3.13.12

File hashes

Hashes for pygenray-0.0.6.tar.gz
Algorithm Hash digest
SHA256 008709739106dd1e757b1efdf076535a4f54ee8b1bc4d6d252555f3fd42243f9
MD5 32742b55e4ade93b4c7a53b1b09ebdff
BLAKE2b-256 abf5131964f514c60675214a0b86aa15383d0e3b9a03e00af420216aba17677b

See more details on using hashes here.

Provenance

The following attestation bundles were made for pygenray-0.0.6.tar.gz:

Publisher: publish.yml on John-Ragland/pygenray

Attestations: Values shown here reflect the state when the release was signed and may no longer be current.

File details

Details for the file pygenray-0.0.6-py3-none-any.whl.

File metadata

  • Download URL: pygenray-0.0.6-py3-none-any.whl
  • Upload date:
  • Size: 25.3 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: twine/6.1.0 CPython/3.13.12

File hashes

Hashes for pygenray-0.0.6-py3-none-any.whl
Algorithm Hash digest
SHA256 2cd552e93b3373b53252d68eb3b3cd07235fe6fc3ce21f5a65b604cbf3da3598
MD5 d4cf1ee6cba296e6cf46938422570986
BLAKE2b-256 5e318cc7d7763622c2a07a133322d8750b8c0322c0435d7287c24a2e7b400341

See more details on using hashes here.

Provenance

The following attestation bundles were made for pygenray-0.0.6-py3-none-any.whl:

Publisher: publish.yml on John-Ragland/pygenray

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