cvxpy-summary 0.1.2

Tiny utilities to summarize CVXPY problems (variables, constraints, DCP/DQCP/DPP, solver stats).

CVXPY Summary

cvxpy_summary is a lightweight utility package for inspecting and debugging CVXPY optimization models. It provides a compact summary of a cvxpy.Problem, including DCP/DQCP/DPP status, constraint and variable counts (with scalar breakdown), parameter presence, and solver statistics. Optional detailed listings report each variable/parameter’s name, shape, size, and integrality (boolean/integer) flags to quickly diagnose modeling and scalability issues.

An example output is shown below when I am solving a unit commitment problem with CVXPY.

Install

From PyPI:

pip install cvxpy-summary

Editable from a local checkout:

pip install -e .

Or pin to a GitHub tag/commit:

pip install "git+https://github.com/xuwkk/cvxpy_summary.git@v0.1.2"
# or @<commit-sha>

Usage

import cvxpy as cp
from cvxpy_summary import print_summary

x = cp.Variable(3)
prob = cp.Problem(cp.Minimize(cp.sum_squares(x)), [x >= 0])
print_summary(prob, include_entity_details=True)

The attributes of the print_summary function are:

• prob: The CVXPY problem to summarize.
• include_entity_details: If True, include detailed listings of variables and parameters.
• sort_entities_by: The sorting order for the detailed listings.
• max_entities: The maximum number of entities to include in the detailed listings.