bound_map.py

Name-keyed mapping of optimizer bounds, storing None for entirely-unbounded variables.

class openmdao.vectors.bound_map.BoundMap

Bases: object

Name-keyed mapping of optimizer bounds.

Each entry holds lower, upper, and equals bounds for one variable. Entirely-unbounded directions are stored as None rather than an array of ±inf, avoiding unnecessary memory allocation for large unbounded variables.

Attributes:

_datadict[str, _VarBounds]

Per-variable bounds objects.

Methods

items()	Iterate over (name, _VarBounds) pairs.
keys()	Return variable names.
set(name, lower, upper, equals)	Store bounds for a single variable.

__contains__(name)

Return True if name is in the dict.

__getitem__(name)

Return the _VarBounds for a variable.

Parameters:

namestr

Variable name.

Returns:

_VarBounds

Bounds object with .lower, .upper, .equals attributes.

Raises:

KeyError

If variable name not found.

__init__()

Initialize BoundMap.

__iter__()

Iterate over variable names.

items()

Iterate over (name, _VarBounds) pairs.

keys()

Return variable names.

set(name, lower, upper, equals)

Store bounds for a single variable.

Parameters:

namestr

Variable name.

lowerndarray or None

Lower bound in scaled units, or None if entirely unbounded below.

upperndarray or None

Upper bound in scaled units, or None if entirely unbounded above.

equalsndarray or None

Equality value in scaled units, or None if not an equality constraint.