A Proximal Interior Point Quadratic Programming solver

Project description

PIQP

License

PIQP is a Proximal Interior Point Quadratic Programming solver, which can solve dense and sparse quadratic programs of the form

$$ \begin{aligned} \min_{x} \quad & \frac{1}{2} x^\top P x + c^\top x \ \text {s.t.}\quad & Ax=b, \ & h_l \leq Gx \leq h_u, \ & x_l \leq x \leq x_u, \end{aligned} $$

Combining an infeasible interior point method with the proximal method of multipliers, the algorithm can handle ill-conditioned convex QP problems without the need for linear independence of the constraints.

Features

PIQP is written in header only C++ 14 leveraging the Eigen library for vectorized linear algebra.
Dense and sparse problem formulations are supported. For small dense problems, vectorized instructions and cache locality can be exploited more efficiently.
Special backend for multistage optimization problems.
Allocation free problem updates and re-solves.
Open source under the BSD 2-Clause License.

Interfaces

PIQP support a wide range of interfaces including

C/C++ (with Eigen support)
Python
Matlab/Octave
R

Credits

PIQP is developed by the following people:

Roland Schwan (main developer)
Yuning Jiang (methods and maths)
Daniel Kuhn (methods and maths)
Colin N. Jones (methods and maths)

All contributors are affiliated with the Laboratoire d'Automatique and/or the Risk Analytics and Optimization Chair at EPFL, Switzerland.

This work was supported by the Swiss National Science Foundation under the NCCR Automation (grant agreement 51NF40_180545).

PIQP is an adapted implementation of work by Spyridon Pougkakiotis and Jacek Gondzio, and is built on the following open-source libraries:

Eigen: It's the work horse under the hood, responsible for producing optimized numerical linear algebra code.
Blasfeo: Used in the sparse_multistage KKT solver backend.
ProxSuite: The code structure (folder/namespace structure, etc.), some utility functions/helper macros, and the instruction set optimized python bindings are based on ProxSuite.
SuiteSparse - LDL (modified version): Used for solving linear systems in the sparse solver.
pybind11: Used for generating the python bindings.
cpu_features: Used for run-time instruction set detection in the interface bindings.
OSQP: The C and Matlab interface is inspired by OSQP.
Clarabel: Parts of the iterative refinement scheme are inspired by Clarabel's implementation.

Citing our Work

If you found PIQP useful in your scientific work, we encourage you to cite our main paper:

@INPROCEEDINGS{schwan2023piqp,
  author={Schwan, Roland and Jiang, Yuning and Kuhn, Daniel and Jones, Colin N.},
  booktitle={2023 62nd IEEE Conference on Decision and Control (CDC)}, 
  title={{PIQP}: A Proximal Interior-Point Quadratic Programming Solver}, 
  year={2023},
  volume={},
  number={},
  pages={1088-1093},
  doi={10.1109/CDC49753.2023.10383915}
}

In case you are specifically using the sparse_multistage KKT solver backend, we encourage you to cite the specific paper:

@misc{schwan2025piqp_multistage,
  author={Schwan, Roland and Kuhn, Daniel and Jones, Colin N.},
  title={Exploiting Multistage Optimization Structure in Proximal Solvers}, 
  year={2025},
  eprint = {arXiv:2503.12664}
}

The benchmarks are available in the following repos: piqp_benchmarks, piqp_multistage_benchmarks

License

PIQP is licensed under the BSD 2-Clause License.

Project details

Release history Release notifications | RSS feed

This version

0.6.0

Jun 30, 2025

0.5.0

Mar 17, 2025

0.4.2

Aug 2, 2024

0.4.1

Jun 22, 2024

0.4.0

Jun 21, 2024

0.3.1

May 24, 2024

0.3.0

May 24, 2024

0.2.4

Dec 25, 2023

0.2.3

Sep 14, 2023

0.2.2

Aug 4, 2023

0.2.1

Aug 3, 2023

0.2.0

Jul 28, 2023

0.1.3

Jul 20, 2023

0.1.2

Jul 14, 2023

0.1.1

Jun 30, 2023

0.1.0

Jun 28, 2023

Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

piqp-0.6.0.tar.gz (25.2 MB view details)

Uploaded Jun 30, 2025 Source

Built Distributions

piqp-0.6.0-pp311-pypy311_pp73-win_amd64.whl (1.2 MB view details)

Uploaded Jun 30, 2025 PyPyWindows x86-64

piqp-0.6.0-pp311-pypy311_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (2.1 MB view details)

Uploaded Jun 30, 2025 PyPymanylinux: glibc 2.17+ x86-64

piqp-0.6.0-pp311-pypy311_pp73-manylinux_2_17_i686.manylinux2014_i686.whl (368.3 kB view details)

Uploaded Jun 30, 2025 PyPymanylinux: glibc 2.17+ i686

piqp-0.6.0-pp311-pypy311_pp73-manylinux_2_17_aarch64.manylinux2014_aarch64.whl (605.4 kB view details)

Uploaded Jun 30, 2025 PyPymanylinux: glibc 2.17+ ARM64

piqp-0.6.0-pp311-pypy311_pp73-macosx_10_15_x86_64.whl (1.9 MB view details)

Uploaded Jun 30, 2025 PyPymacOS 10.15+ x86-64

piqp-0.6.0-pp310-pypy310_pp73-win_amd64.whl (1.2 MB view details)

Uploaded Jun 30, 2025 PyPyWindows x86-64

piqp-0.6.0-pp310-pypy310_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (2.1 MB view details)

Uploaded Jun 30, 2025 PyPymanylinux: glibc 2.17+ x86-64

piqp-0.6.0-pp310-pypy310_pp73-manylinux_2_17_i686.manylinux2014_i686.whl (369.8 kB view details)

Uploaded Jun 30, 2025 PyPymanylinux: glibc 2.17+ i686

piqp-0.6.0-pp310-pypy310_pp73-manylinux_2_17_aarch64.manylinux2014_aarch64.whl (602.7 kB view details)

Uploaded Jun 30, 2025 PyPymanylinux: glibc 2.17+ ARM64

piqp-0.6.0-pp310-pypy310_pp73-macosx_10_15_x86_64.whl (1.9 MB view details)

Uploaded Jun 30, 2025 PyPymacOS 10.15+ x86-64

piqp-0.6.0-pp39-pypy39_pp73-win_amd64.whl (1.2 MB view details)

Uploaded Jun 30, 2025 PyPyWindows x86-64

piqp-0.6.0-pp39-pypy39_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (2.1 MB view details)

Uploaded Jun 30, 2025 PyPymanylinux: glibc 2.17+ x86-64

piqp-0.6.0-pp39-pypy39_pp73-manylinux_2_17_i686.manylinux2014_i686.whl (369.3 kB view details)

Uploaded Jun 30, 2025 PyPymanylinux: glibc 2.17+ i686

piqp-0.6.0-pp39-pypy39_pp73-manylinux_2_17_aarch64.manylinux2014_aarch64.whl (602.9 kB view details)

Uploaded Jun 30, 2025 PyPymanylinux: glibc 2.17+ ARM64

piqp-0.6.0-pp39-pypy39_pp73-macosx_10_15_x86_64.whl (1.9 MB view details)

Uploaded Jun 30, 2025 PyPymacOS 10.15+ x86-64

piqp-0.6.0-pp38-pypy38_pp73-win_amd64.whl (1.2 MB view details)

Uploaded Jun 30, 2025 PyPyWindows x86-64

piqp-0.6.0-pp38-pypy38_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (2.1 MB view details)

Uploaded Jun 30, 2025 PyPymanylinux: glibc 2.17+ x86-64

piqp-0.6.0-pp38-pypy38_pp73-manylinux_2_17_i686.manylinux2014_i686.whl (369.7 kB view details)

Uploaded Jun 30, 2025 PyPymanylinux: glibc 2.17+ i686

piqp-0.6.0-pp38-pypy38_pp73-manylinux_2_17_aarch64.manylinux2014_aarch64.whl (603.0 kB view details)

Uploaded Jun 30, 2025 PyPymanylinux: glibc 2.17+ ARM64

piqp-0.6.0-pp38-pypy38_pp73-macosx_10_9_x86_64.whl (1.9 MB view details)

Uploaded Jun 30, 2025 PyPymacOS 10.9+ x86-64

piqp-0.6.0-pp37-pypy37_pp73-win_amd64.whl (1.2 MB view details)

Uploaded Jun 30, 2025 PyPyWindows x86-64

piqp-0.6.0-pp37-pypy37_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (2.1 MB view details)

Uploaded Jun 30, 2025 PyPymanylinux: glibc 2.17+ x86-64

piqp-0.6.0-pp37-pypy37_pp73-manylinux_2_17_i686.manylinux2014_i686.whl (365.5 kB view details)

Uploaded Jun 30, 2025 PyPymanylinux: glibc 2.17+ i686

piqp-0.6.0-pp37-pypy37_pp73-manylinux_2_17_aarch64.manylinux2014_aarch64.whl (601.8 kB view details)

Uploaded Jun 30, 2025 PyPymanylinux: glibc 2.17+ ARM64

piqp-0.6.0-pp37-pypy37_pp73-macosx_10_9_x86_64.whl (1.9 MB view details)

Uploaded Jun 30, 2025 PyPymacOS 10.9+ x86-64

piqp-0.6.0-cp313-cp313-win_amd64.whl (1.2 MB view details)

Uploaded Jun 30, 2025 CPython 3.13Windows x86-64

piqp-0.6.0-cp313-cp313-musllinux_1_2_x86_64.whl (3.0 MB view details)

Uploaded Jun 30, 2025 CPython 3.13musllinux: musl 1.2+ x86-64

piqp-0.6.0-cp313-cp313-musllinux_1_2_i686.whl (1.5 MB view details)

Uploaded Jun 30, 2025 CPython 3.13musllinux: musl 1.2+ i686

piqp-0.6.0-cp313-cp313-musllinux_1_2_aarch64.whl (1.6 MB view details)

Uploaded Jun 30, 2025 CPython 3.13musllinux: musl 1.2+ ARM64

piqp-0.6.0-cp313-cp313-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (2.1 MB view details)

Uploaded Jun 30, 2025 CPython 3.13manylinux: glibc 2.17+ x86-64

piqp-0.6.0-cp313-cp313-manylinux_2_17_i686.manylinux2014_i686.whl (366.7 kB view details)

Uploaded Jun 30, 2025 CPython 3.13manylinux: glibc 2.17+ i686

piqp-0.6.0-cp313-cp313-manylinux_2_17_aarch64.manylinux2014_aarch64.whl (603.3 kB view details)

Uploaded Jun 30, 2025 CPython 3.13manylinux: glibc 2.17+ ARM64

piqp-0.6.0-cp313-cp313-macosx_11_0_arm64.whl (525.0 kB view details)

Uploaded Jun 30, 2025 CPython 3.13macOS 11.0+ ARM64

piqp-0.6.0-cp313-cp313-macosx_10_13_x86_64.whl (1.9 MB view details)

Uploaded Jun 30, 2025 CPython 3.13macOS 10.13+ x86-64

piqp-0.6.0-cp312-cp312-win_amd64.whl (1.2 MB view details)

Uploaded Jun 30, 2025 CPython 3.12Windows x86-64

piqp-0.6.0-cp312-cp312-musllinux_1_2_x86_64.whl (3.0 MB view details)

Uploaded Jun 30, 2025 CPython 3.12musllinux: musl 1.2+ x86-64

piqp-0.6.0-cp312-cp312-musllinux_1_2_i686.whl (1.5 MB view details)

Uploaded Jun 30, 2025 CPython 3.12musllinux: musl 1.2+ i686

piqp-0.6.0-cp312-cp312-musllinux_1_2_aarch64.whl (1.6 MB view details)

Uploaded Jun 30, 2025 CPython 3.12musllinux: musl 1.2+ ARM64

piqp-0.6.0-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (2.1 MB view details)

Uploaded Jun 30, 2025 CPython 3.12manylinux: glibc 2.17+ x86-64

piqp-0.6.0-cp312-cp312-manylinux_2_17_i686.manylinux2014_i686.whl (366.8 kB view details)

Uploaded Jun 30, 2025 CPython 3.12manylinux: glibc 2.17+ i686

piqp-0.6.0-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl (602.8 kB view details)

Uploaded Jun 30, 2025 CPython 3.12manylinux: glibc 2.17+ ARM64

piqp-0.6.0-cp312-cp312-macosx_11_0_arm64.whl (524.9 kB view details)

Uploaded Jun 30, 2025 CPython 3.12macOS 11.0+ ARM64

piqp-0.6.0-cp312-cp312-macosx_10_13_x86_64.whl (1.9 MB view details)

Uploaded Jun 30, 2025 CPython 3.12macOS 10.13+ x86-64

piqp-0.6.0-cp311-cp311-win_amd64.whl (1.2 MB view details)

Uploaded Jun 30, 2025 CPython 3.11Windows x86-64

piqp-0.6.0-cp311-cp311-musllinux_1_2_x86_64.whl (3.0 MB view details)

Uploaded Jun 30, 2025 CPython 3.11musllinux: musl 1.2+ x86-64

piqp-0.6.0-cp311-cp311-musllinux_1_2_i686.whl (1.5 MB view details)

Uploaded Jun 30, 2025 CPython 3.11musllinux: musl 1.2+ i686

piqp-0.6.0-cp311-cp311-musllinux_1_2_aarch64.whl (1.6 MB view details)

Uploaded Jun 30, 2025 CPython 3.11musllinux: musl 1.2+ ARM64

piqp-0.6.0-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (2.1 MB view details)

Uploaded Jun 30, 2025 CPython 3.11manylinux: glibc 2.17+ x86-64

piqp-0.6.0-cp311-cp311-manylinux_2_17_i686.manylinux2014_i686.whl (367.9 kB view details)

Uploaded Jun 30, 2025 CPython 3.11manylinux: glibc 2.17+ i686

piqp-0.6.0-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl (606.0 kB view details)

Uploaded Jun 30, 2025 CPython 3.11manylinux: glibc 2.17+ ARM64

piqp-0.6.0-cp311-cp311-macosx_11_0_arm64.whl (525.0 kB view details)

Uploaded Jun 30, 2025 CPython 3.11macOS 11.0+ ARM64

piqp-0.6.0-cp311-cp311-macosx_10_9_x86_64.whl (1.9 MB view details)

Uploaded Jun 30, 2025 CPython 3.11macOS 10.9+ x86-64

piqp-0.6.0-cp310-cp310-win_amd64.whl (1.2 MB view details)

Uploaded Jun 30, 2025 CPython 3.10Windows x86-64

piqp-0.6.0-cp310-cp310-musllinux_1_2_x86_64.whl (3.0 MB view details)

Uploaded Jun 30, 2025 CPython 3.10musllinux: musl 1.2+ x86-64

piqp-0.6.0-cp310-cp310-musllinux_1_2_i686.whl (1.5 MB view details)

Uploaded Jun 30, 2025 CPython 3.10musllinux: musl 1.2+ i686

piqp-0.6.0-cp310-cp310-musllinux_1_2_aarch64.whl (1.6 MB view details)

Uploaded Jun 30, 2025 CPython 3.10musllinux: musl 1.2+ ARM64

piqp-0.6.0-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (2.1 MB view details)

Uploaded Jun 30, 2025 CPython 3.10manylinux: glibc 2.17+ x86-64

piqp-0.6.0-cp310-cp310-manylinux_2_17_i686.manylinux2014_i686.whl (369.7 kB view details)

Uploaded Jun 30, 2025 CPython 3.10manylinux: glibc 2.17+ i686

piqp-0.6.0-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl (602.9 kB view details)

Uploaded Jun 30, 2025 CPython 3.10manylinux: glibc 2.17+ ARM64

piqp-0.6.0-cp310-cp310-macosx_11_0_arm64.whl (522.0 kB view details)

Uploaded Jun 30, 2025 CPython 3.10macOS 11.0+ ARM64

piqp-0.6.0-cp310-cp310-macosx_10_9_x86_64.whl (1.9 MB view details)

Uploaded Jun 30, 2025 CPython 3.10macOS 10.9+ x86-64

piqp-0.6.0-cp39-cp39-win_amd64.whl (1.2 MB view details)

Uploaded Jun 30, 2025 CPython 3.9Windows x86-64

piqp-0.6.0-cp39-cp39-musllinux_1_2_x86_64.whl (3.0 MB view details)

Uploaded Jun 30, 2025 CPython 3.9musllinux: musl 1.2+ x86-64

piqp-0.6.0-cp39-cp39-musllinux_1_2_i686.whl (1.5 MB view details)

Uploaded Jun 30, 2025 CPython 3.9musllinux: musl 1.2+ i686

piqp-0.6.0-cp39-cp39-musllinux_1_2_aarch64.whl (1.6 MB view details)

Uploaded Jun 30, 2025 CPython 3.9musllinux: musl 1.2+ ARM64

piqp-0.6.0-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (2.1 MB view details)

Uploaded Jun 30, 2025 CPython 3.9manylinux: glibc 2.17+ x86-64

piqp-0.6.0-cp39-cp39-manylinux_2_17_i686.manylinux2014_i686.whl (370.1 kB view details)

Uploaded Jun 30, 2025 CPython 3.9manylinux: glibc 2.17+ i686

piqp-0.6.0-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl (603.5 kB view details)

Uploaded Jun 30, 2025 CPython 3.9manylinux: glibc 2.17+ ARM64

piqp-0.6.0-cp39-cp39-macosx_11_0_arm64.whl (522.1 kB view details)

Uploaded Jun 30, 2025 CPython 3.9macOS 11.0+ ARM64

piqp-0.6.0-cp39-cp39-macosx_10_9_x86_64.whl (1.9 MB view details)

Uploaded Jun 30, 2025 CPython 3.9macOS 10.9+ x86-64

piqp-0.6.0-cp38-cp38-win_amd64.whl (1.2 MB view details)

Uploaded Jun 30, 2025 CPython 3.8Windows x86-64

piqp-0.6.0-cp38-cp38-musllinux_1_2_x86_64.whl (3.0 MB view details)

Uploaded Jun 30, 2025 CPython 3.8musllinux: musl 1.2+ x86-64

piqp-0.6.0-cp38-cp38-musllinux_1_2_i686.whl (1.5 MB view details)

Uploaded Jun 30, 2025 CPython 3.8musllinux: musl 1.2+ i686

piqp-0.6.0-cp38-cp38-musllinux_1_2_aarch64.whl (1.6 MB view details)

Uploaded Jun 30, 2025 CPython 3.8musllinux: musl 1.2+ ARM64

piqp-0.6.0-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (2.1 MB view details)

Uploaded Jun 30, 2025 CPython 3.8manylinux: glibc 2.17+ x86-64

piqp-0.6.0-cp38-cp38-manylinux_2_17_i686.manylinux2014_i686.whl (369.2 kB view details)

Uploaded Jun 30, 2025 CPython 3.8manylinux: glibc 2.17+ i686

piqp-0.6.0-cp38-cp38-manylinux_2_17_aarch64.manylinux2014_aarch64.whl (602.7 kB view details)

Uploaded Jun 30, 2025 CPython 3.8manylinux: glibc 2.17+ ARM64

piqp-0.6.0-cp38-cp38-macosx_11_0_arm64.whl (521.7 kB view details)

Uploaded Jun 30, 2025 CPython 3.8macOS 11.0+ ARM64

piqp-0.6.0-cp38-cp38-macosx_10_9_x86_64.whl (1.9 MB view details)

Uploaded Jun 30, 2025 CPython 3.8macOS 10.9+ x86-64

piqp-0.6.0-cp37-cp37m-win_amd64.whl (1.2 MB view details)

Uploaded Jun 30, 2025 CPython 3.7mWindows x86-64

piqp-0.6.0-cp37-cp37m-musllinux_1_2_x86_64.whl (3.1 MB view details)

Uploaded Jun 30, 2025 CPython 3.7mmusllinux: musl 1.2+ x86-64

piqp-0.6.0-cp37-cp37m-musllinux_1_2_i686.whl (1.5 MB view details)

Uploaded Jun 30, 2025 CPython 3.7mmusllinux: musl 1.2+ i686

piqp-0.6.0-cp37-cp37m-musllinux_1_2_aarch64.whl (1.6 MB view details)

Uploaded Jun 30, 2025 CPython 3.7mmusllinux: musl 1.2+ ARM64

piqp-0.6.0-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (2.1 MB view details)

Uploaded Jun 30, 2025 CPython 3.7mmanylinux: glibc 2.17+ x86-64

piqp-0.6.0-cp37-cp37m-manylinux_2_17_i686.manylinux2014_i686.whl (376.1 kB view details)

Uploaded Jun 30, 2025 CPython 3.7mmanylinux: glibc 2.17+ i686

piqp-0.6.0-cp37-cp37m-manylinux_2_17_aarch64.manylinux2014_aarch64.whl (606.5 kB view details)

Uploaded Jun 30, 2025 CPython 3.7mmanylinux: glibc 2.17+ ARM64

piqp-0.6.0-cp37-cp37m-macosx_10_9_x86_64.whl (1.9 MB view details)

Uploaded Jun 30, 2025 CPython 3.7mmacOS 10.9+ x86-64

File details

Details for the file piqp-0.6.0.tar.gz.

File metadata

Download URL: piqp-0.6.0.tar.gz
Upload date: Jun 30, 2025
Size: 25.2 MB
Tags: Source
Uploaded using Trusted Publishing? No
Uploaded via: twine/6.1.0 CPython/3.12.9

File hashes

Hashes for piqp-0.6.0.tar.gz
Algorithm	Hash digest
SHA256	`f85221d9ff697697c62e8fc580913f79ee07c9d7e0f1010400ced102affbada0`
MD5	`1dd6e86b7c43bc6b676d0dcd09547a77`
BLAKE2b-256	`4d9c535009d24d8ef2a1f316fc95637dc176569b965ef12030c23e1f0d9c607c`

Algorithm	Hash digest
SHA256	`57c95bc63772322932db010242461b18c59aa220a1daa604416cb029cef44fd9`
MD5	`41a2eb808ceee6fe9a7cd1d66650dac7`
BLAKE2b-256	`facd5faafeb254146b73b6d6eee38165ac4e72b1371bb5444e9eded40cc2145d`

Algorithm	Hash digest
SHA256	`140e1e44a8f5ec2413cf85f6b597e68d2a64af13b8fc7bebed0cae220d3ff5bf`
MD5	`91395ac70d7f5c5491f257278e4601c1`
BLAKE2b-256	`b4961297785754f477d6c8e1a2f18c3e96be021faa5e29bd9cd5b34d90d7dcf8`

Algorithm	Hash digest
SHA256	`ee838a75c747b4b0c8995d5ae6e44b818c0690eae72be630f4f9192a49f12cbc`
MD5	`a5a001451818da7733d218890c959247`
BLAKE2b-256	`985ae02f818d2b7ffbd19c724917909683a6f514c4ef90f830ce27a5bba065cb`

Algorithm	Hash digest
SHA256	`94c87bd3c36098dd8453bbe139d373206766aa37ca484731be78c095456b1e82`
MD5	`ec38fd4da8ebb0223d802a3568147768`
BLAKE2b-256	`4b3ce89f8de626468f9c9b3ab6143afd066df4e625b357865ad75682d14ce300`

Algorithm	Hash digest
SHA256	`7406c0029d18d327b3c3ea23348015b6dae0b76550ec50279fab754cd575ec58`
MD5	`8290a5e545239c004afdcdf792833711`
BLAKE2b-256	`b801809545b2a2972a143f29895620a06cafc60ff685dd79c0f048b5921b99e5`

Algorithm	Hash digest
SHA256	`50c028bf77afa9d7aab0d08048ea82b7c6d24e392c753c6a450458e6defc3c5a`
MD5	`e4e9f0d2954948ea19fbee5c3f59815c`
BLAKE2b-256	`d5cfdfb90f12c000d24a5ed2648a20f1d1a25a156ef148f8922516e25f78c8c3`

Algorithm	Hash digest
SHA256	`8c1aab6727420eba67211e4343d137f7ac1a0916e66dfe34b69b59858418b97a`
MD5	`6ca24b2a77fe9357c0c5e5accf8740d7`
BLAKE2b-256	`75744a03265c67e002ef2a9e0a9532d6f6af1d75f237cb5faecedde27cdf1425`

Algorithm	Hash digest
SHA256	`3636f9ca4ca65853279508808b81e3280f2569c33b3f44d2bbd35bd67df82c26`
MD5	`c9f78a2ee92a6c08e3ac29af97ec74df`
BLAKE2b-256	`6ab2d78716cf67c79069b9edda781d676232b21bf4937fa875c4b2917597e349`

Algorithm	Hash digest
SHA256	`e6535520e233371f199387a194319dd353bccc706f9d4496a777c862b6aa25ee`
MD5	`cd82bec696164aa2fe51054d4c012a45`
BLAKE2b-256	`cda6d90131a1be7cd5e23f1987bd1ef69664b0033d6826fa0789289ba0f4e6ff`

Algorithm	Hash digest
SHA256	`6b8663d6ed151042f06ef01c08a22dc132c394645f0fb086a3bb0309d5e59ae2`
MD5	`5be3829df3a5c7c306977b6345a67e47`
BLAKE2b-256	`0cedf679db8006141352ffe1502cfb23f5ffad8ab8d24349a3550c545b0aa02f`

Algorithm	Hash digest
SHA256	`710fb4e3592179f9ed1aefe6138a5ada3eb869a9015da6e8f867f6fc9d2daa56`
MD5	`dfa77ea00281ec4c23f0708386a8898a`
BLAKE2b-256	`5469d8504946553a34ba452b4169fa4492feca1898d87f20f8e72ecbdbf10144`

Algorithm	Hash digest
SHA256	`6ff9370a108681e3f0c6446828cd18781040a66c5088d405335d487fdeecd9d9`
MD5	`654f86a20ae136e95fe33b513654d6f9`
BLAKE2b-256	`09ae82810744f4747f524c5177ed2ce5fb83a0ca1d8f18c737f39c973aaec37b`

Algorithm	Hash digest
SHA256	`52fe9961521a4add3a381dabe1685aba2f6e0f5fd6a63470c44578c3fd817734`
MD5	`c101f3fb0ebafd8e50860aafd559d6e5`
BLAKE2b-256	`f7386c56701ff21ca63b241ed52ad4b548792ae3f028d1b7dae1a2c89b951803`

Algorithm	Hash digest
SHA256	`c28eba1562e02705b1ebfc245d0e7e9dd9a7996a6be737183c69153f5dc3ee7b`
MD5	`17af274de0412e21c73b711eecebc0a6`
BLAKE2b-256	`ffa2391bb4eb1a09e8e7ffd82f32423a442f81cbb86c35e250bb0bfda430eb97`

Algorithm	Hash digest
SHA256	`a056c1ccb0dc551675ab941bcdb03e60c28de370d19692102abeb21e68c5fbae`
MD5	`72cffb4f59417259524167126777c9d8`
BLAKE2b-256	`328f73a8230929dfd4603279344df5e3f92ece5eaa456a3aca0f747afc018a62`

Algorithm	Hash digest
SHA256	`20c69694cb1cb48e53772c5dc55d4f719a7867468692848a8816e09d61913ecd`
MD5	`7e36ff18656e44da83775750d14d75da`
BLAKE2b-256	`792ade4af73c5216adce9fa9123f041f455d1aef165398ee3195bcd2c34564e4`

Algorithm	Hash digest
SHA256	`c27cb7cf86390bd02035c370b3d0bfe7f81265691d8b27ffb03249c5868d05da`
MD5	`4323a77c533df53f37bd9584129fd36e`
BLAKE2b-256	`4da10ba0a87e010a7d71f4ab4430d3dc9bea5fef0e46056a08339a04983bdbb3`

Algorithm	Hash digest
SHA256	`e0517f0b92a776ca6cb50f09a619c5160ea5369b1b7fa9f0184112b2f26a393f`
MD5	`15f71b6831a31aed23e96c460d6bb368`
BLAKE2b-256	`1c15e5fcbe6b18c18af54393fdd5b96af0d79825532892538e0454f561e1fee4`

Algorithm	Hash digest
SHA256	`5b7bc3397796a88cec412a2d52a06963215f8c5621f117128f46703012291b05`
MD5	`5ac87a753f79fc782773f34192fa4a3c`
BLAKE2b-256	`d30a47c540abf34d8d499bc711794f1a4448ec943ee99e369cbd2610ca0fc280`

Algorithm	Hash digest
SHA256	`d6a47f4e4c6052550c4de5a945689479609249cacabd79959c875747d89e25b5`
MD5	`e4780bfdfb4d8b30b59a32689b65b149`
BLAKE2b-256	`20a92a75aaad95a5f6a99d700c1c10b40d608953ec5df420548048fb7092cb17`

piqp 0.6.0

Navigation

Verified details

Maintainers

Unverified details

Project links

Meta

Project description

PIQP

Features

Interfaces

Credits

Citing our Work

License

Project details

Verified details

Maintainers

Unverified details

Project links

Meta

Release history Release notifications | RSS feed

Download files

Source Distribution

Built Distributions

File details

File metadata

File hashes

File details

File metadata

File hashes

File details

File metadata

File hashes

File details

File metadata

File hashes

File details

File metadata

File hashes

File details

File metadata

File hashes

File details

File metadata

File hashes

File details

File metadata

File hashes

File details

File metadata

File hashes

File details

File metadata

File hashes

File details

File metadata

File hashes

File details

File metadata

File hashes

File details

File metadata

File hashes

File details

File metadata

File hashes

File details

File metadata

File hashes

File details

File metadata

File hashes

File details

File metadata

File hashes

File details

File metadata

File hashes

File details

File metadata

Algorithm	Hash digest
SHA256	`8b858398721574559aa5fab6c4a9ad01c968c07d41ac6b41beead00367943359`
MD5	`f7a67bc24a84b9582cb5f671457e587d`
BLAKE2b-256	`1ef966a02f833666c4875b4398b5c901e9db69c693d0f35596394c0fea511ba5`

Algorithm	Hash digest
SHA256	`e99f6442d9bc68d24f3a9d4a27d7a2a090857a8ae12d66a1fea7ed9ccae5d420`
MD5	`2f8f680f04e6a4b3d5e17d823d53a64c`
BLAKE2b-256	`02e968d13364c61b84f48630ee06a3aadff8ad37341551a1f78c8d8533e25b8b`

Algorithm	Hash digest
SHA256	`add4d8d5cb64b8d1bd4a1c45b08256463644815d1c27d08b46bb62212bf4b0e2`
MD5	`c480dd1dffdffa3399a968a486664477`
BLAKE2b-256	`8d6cc6453d07ba076f18231ee7bd2e7e5da222ceab5b4dd866cf72531959ba43`

Algorithm	Hash digest
SHA256	`5dd95bc3d8dc1b83783738a55d9188e21d5e5511fdfe49bfe39cd162471a32c5`
MD5	`66c54d65bd1c81720a7b9e46c5b3935b`
BLAKE2b-256	`7e2fa1795cc8a8ff50daf9bfbb632d36fa1fb17d2b9c42def125ca2366afee50`

Algorithm	Hash digest
SHA256	`02d7b7856468a5714dee5143ae0b364dee58d0ab4f8a8e3ed1270fa30c1b27b5`
MD5	`c545ad11eb76b78982ffc9acbc348a3b`
BLAKE2b-256	`9f9024e166f02fb808ebd277f6bfa97cdcf8ffdf420f883114aaf0390e129c88`

Algorithm	Hash digest
SHA256	`bb1a199e8662d3773883f2549fe19cce7cc07604dbff01643d8bb85ee55e43ac`
MD5	`951e38cf58670da9f05796ccebe96c3c`
BLAKE2b-256	`0a8e8983390b282cdf536d102a05ae269454d5d2acef994421cd5c199e874773`

Algorithm	Hash digest
SHA256	`4a784b2eda23218de98d36e69db98e197e2018bc063a47c397384fe7c9195bc3`
MD5	`aa84cbc911a27ded634b60bc69e7639b`
BLAKE2b-256	`eb075bcb001487fc865e22a55c6e49e38315158cec0f0f751f9709287555d230`

Algorithm	Hash digest
SHA256	`19230ada3b0f5c59087bda7de20116d78209c4031aeb2cd608672b8075cb0240`
MD5	`b5f1cc94939d226324c6fcbd9b9b9f48`
BLAKE2b-256	`5cc6a9e1df2dfd68a5123afa20a23d81e7a0c770236da0681acb5eb5d22cf31e`

Algorithm	Hash digest
SHA256	`01639a89bf4acfb6634852181f3fc09b1c1eca93889f67bc550e5a5dc637bd00`
MD5	`f140108603f8da82d8375901bdd2aa1f`
BLAKE2b-256	`29e4b991814957b42ae02ee97799a83ba2b210175451939b76df8386982b7732`

Algorithm	Hash digest
SHA256	`457d443b83efd6297b58fd4fd23804e259bd6abc80960392da2fb2cdc5663eff`
MD5	`8fc6863ce54ceb52819f1534b454b8bd`
BLAKE2b-256	`416d41b0e0de9088a6ff0710b485caa065c32e17ad1fd1093e57ecc4e3acb901`