Skip to main content
Release file added late

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

blitzdg

blitzdg is an open-source library offering discontinuous Galerkin (dg) solvers for common partial differential equations systems using blitz++ for array and tensor manipulations in a C++ environment or NumPy as a Python 3 library.

shallow water wave example

Shallow Water Wave Example blitzdg output

Build Status Coverage Status

Support blitzdg: Donate to blitzdg development

Building From Source

Build and development support has broadened from linux only to Mac OSX and Windows systems. Tested with GNU make (written to be cross-platform) and g++ on linux/MinGW64, clang++ on Mac OSX High Sierra, and MSVC on Windows. Our build system depends on the cross-platform cmake tooling for Makefile generation.

  1. git clone https://github.com/dsteinmo/blitzdg.git
  2. cd blitzdg && ./pull-deps.sh
  3. cmake . && make advec1d && ./bin/advec1d (This binary is a 1D advection equation solver.).
  4. Run unit tests with make test.

Dependencies

  • cmake
  • blitz++
  • SuiteSparse (umfpack, cxsparse)
  • LAPACK
  • metis
  • igloo for BDD-style testing.
  • vtk for visualization in Paraview.
  • boost-python3 for python bindings.
  • boost-numpy3 for numpy C++ interoperability.

Dependency installation is outlined in pull-deps.sh (tested on Ubuntu and Mac OSX).

Windows

Our windows distribution was recently switched from MinGW to MSVC in order to achieve better support for graphics APIs, so support is lacking at the moment. Instructions will be made available here soon.

Contributing

We accept pull requests from public forks, and we use pull requests as the primary delivery mechanism of any new code within the base repository.

If you add code, please write tests using the igloo testing framework that is included as a project dependency. Your code additions will be subject to peer review and will be run through our Travis-CI continuous integration process.

Interested developers should consult the Guidelines for Contributing before getting started.

Maintainer

Lead Developers

Documentation

We actively maintain an interactive set of docs using Doxygen for end-user consumption.

The documentation is available on github pages at https://wqcg.github.io/blitzdg and is kept synchronized with the master branch via automation.

License

This project is licensed under the GNU Public License Version 3.

Our license choice is driven by the desire to keep this project and any of its derivative works open-source for public consumption by developers, mathematicians, scientists, engineers, and anyone else who might be interested in this project.

Contact

Any questions regarding the project may be addressed via email to the project maintainer.

Metadata

Release files for pyblitzdg 1.0.3

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.

Built distributions (wheels)

Table of built distributions (wheels) for pyblitzdg 1.0.3
File Interpreter ABI Platform Actions
pyblitzdg-1.0.3-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl CPython 3.11 CPython 3.11 Linux glibc 2.17+ x86-64 Details for pyblitzdg-1.0.3-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
pyblitzdg-1.0.3-cp39-cp39-manylinux_2_12_x86_64.manylinux2010_x86_64.whl CPython 3.9 CPython 3.9 Linux glibc 2.12+ x86-64 Details for pyblitzdg-1.0.3-cp39-cp39-manylinux_2_12_x86_64.manylinux2010_x86_64.whl

Total release size: 66.5 MB

Release files / pyblitzdg-1.0.3-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl

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 pyblitzdg-1.0.3-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Size 30.2 MB
Tags CPython 3.11 Linux glibc 2.17+ x86-64
SHA-256 checksum
How to use checksums
db296572689dbc1a237cdcc2031a28c2d5c2eb057a95e8dde5c3e1e02c556992
BLAKE2b-256 checksum
How to use checksums
6a37e228ad5cb099f23ee2e6f87ba8e5d14b47a87830d1c5ee0826aecf20d5e1
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/4.0.2 CPython/3.11.0

Release files / pyblitzdg-1.0.3-cp39-cp39-manylinux_2_12_x86_64.manylinux2010_x86_64.whl

Download URL pyblitzdg-1.0.3-cp39-cp39-manylinux_2_12_x86_64.manylinux2010_x86_64.whl
Size 36.3 MB
Tags CPython 3.9 Linux glibc 2.12+ x86-64
SHA-256 checksum
How to use checksums
4860c90e063bb6fd1b61793b83a3e33c3467f87de0a9d275ac7f28b18510c36d
BLAKE2b-256 checksum
How to use checksums
d16b9305b39fb5c51561b78c8248f9a4c92dd0027aa97949e37e5f6d45450619
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/4.0.2 CPython/3.9.2

Security for pyblitzdg 1.0.3

Upload timing

Release 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.

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