Skip to main content

Inviscid supersonic and hypersonic surface solutions: Taylor-Maccoll, Newtonian, tangent-cone, shock-expansion

Project description

flow-inviscid

Computes inviscid surface Mach number, pressure, and temperature along a body contour using classical methods such as tangent-cone, tangent-wedge, Modified Newtonian, shock-expansion, method of characteristics, and linearized supersonic.

PyPI Docs License Python Ruff

Install

pip install flow-inviscid

Quick Start

under construction

Documentation

Validation and Verification

under construction

Code Style

This project follows established Python community conventions so that contributors can focus on the physics rather than inventing formatting rules.

Convention What it covers Reference
PEP 8 Code formatting, naming, whitespace Python standard style guide
PEP 257 Docstring structure Python standard docstring conventions
numpydoc Docstring sections (Parameters, Returns, Attributes) NumPy/SciPy docstring standard
Ruff Automated linting and formatting Enforces PEP 8 compliance automatically

Releasing

This project uses Semantic Versioning (vMAJOR.MINOR.PATCH):

  • MAJOR (v1.0.0): Breaking API changes
  • MINOR (v0.3.0): New features, backward-compatible
  • PATCH (v0.3.1): Bug fixes

To publish a new version:

  1. Verify locally:
    ruff check .
    pytest
    
  2. Commit and push to main
  3. Tag and push:
    git tag -a vMAJOR.MINOR.PATCH -m "Release vMAJOR.MINOR.PATCH"
    git push origin vMAJOR.MINOR.PATCH
    

Citation

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

flow_inviscid-0.1.0.tar.gz (11.8 kB view details)

Uploaded Source

Built Distribution

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

flow_inviscid-0.1.0-py3-none-any.whl (7.6 kB view details)

Uploaded Python 3

File details

Details for the file flow_inviscid-0.1.0.tar.gz.

File metadata

  • Download URL: flow_inviscid-0.1.0.tar.gz
  • Upload date:
  • Size: 11.8 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: twine/6.1.0 CPython/3.13.12

File hashes

Hashes for flow_inviscid-0.1.0.tar.gz
Algorithm Hash digest
SHA256 29369e88ce811123a4a475fb33cdc11844d00f11c2fee13d271b48318c09c23e
MD5 6c1f7e918e26cb966c2a63b242de7fdd
BLAKE2b-256 11189848a8bd62ca86ed6a82efb6462b7bc4279842a17b332222380e5ad80c6e

See more details on using hashes here.

Provenance

The following attestation bundles were made for flow_inviscid-0.1.0.tar.gz:

Publisher: publish.yml on uahypersonics/flow-inviscid

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

File details

Details for the file flow_inviscid-0.1.0-py3-none-any.whl.

File metadata

  • Download URL: flow_inviscid-0.1.0-py3-none-any.whl
  • Upload date:
  • Size: 7.6 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: twine/6.1.0 CPython/3.13.12

File hashes

Hashes for flow_inviscid-0.1.0-py3-none-any.whl
Algorithm Hash digest
SHA256 147ee6530fb09531d69a614a4a86076323e2da9cf7f2bd16eb048e93de2a7457
MD5 61c1517b11654fa3f0cff4648a1c02d7
BLAKE2b-256 4443fd0f9a681027c293e86bd5612de9e18bd1ba35a51a5becc34bcef3e14bcb

See more details on using hashes here.

Provenance

The following attestation bundles were made for flow_inviscid-0.1.0-py3-none-any.whl:

Publisher: publish.yml on uahypersonics/flow-inviscid

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