pyepo.dsl

PyEPO symbolic DSL: define an LP / MIP / QP once and compile it to any backend.

Public API:

from pyepo import EPO, dsl
x = dsl.Variable(5, vtype=EPO.BINARY)
c = dsl.Parameter(5)
prob = dsl.Problem(dsl.Maximize(c @ x), [W @ x <= cap])

Problem finalizes the symbolic IR (sparse coefficient matrices) and compiles it to a solver backend.

Submodules

• pyepo.dsl.compiled
• pyepo.dsl.expression
• pyepo.dsl.objective
• pyepo.dsl.problem

Functions

sum(expr[, axis])

Module-level reduction: dispatches to the expression's .sum(axis).

Package Contents

pyepo.dsl.sum(expr, axis=None)

Module-level reduction: dispatches to the expression’s .sum(axis).

dsl.sum(c * x) returns the scalar ParametricObjective; dsl.sum of an Affine / Variable returns the reduced linear expression.