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Bounds constraint on the variables.
The constraint has the general inequality form::
lb <= x <= ub
It is possible to use equal bounds to represent an equality constraint or
infinite bounds to represent a one-sided constraint.
Parameters
----------
lb, ub : dense array_like, optional
Lower and upper bounds on independent variables. `lb`, `ub`, and
`keep_feasible` must be the same shape or broadcastable.
Set components of `lb` and `ub` equal
to fix a variable. Use ``np.inf`` with an appropriate sign to disable
bounds on all or some variables. Note that you can mix constraints of
different types: interval, one-sided or equality, by setting different
components of `lb` and `ub` as necessary. Defaults to ``lb = -np.inf``
and ``ub = np.inf`` (no bounds).
keep_feasible : dense array_like of bool, optional
Whether to keep the constraint components feasible throughout
iterations. Must be broadcastable with `lb` and `ub`.
Default is False. Has no effect for equality constraints.
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