Filter lb and ub from kwargs passed to scipy

Added :lb and :ub to the kwargs filter list to prevent them from being
forwarded to NonlinearSolveBase which doesn't recognize them as valid
solve kwargs. These bounds are extracted directly from the problem
using hasproperty and passed to scipy separately.

Fixes: Unrecognized keyword arguments error for [:lb, :ub]

🤖 Generated with [Claude Code](https://claude.com/claude-code)

Co-Authored-By: Claude <noreply@anthropic.com>

Author: ChrisRackauckas

lib/NonlinearSolveSciPy/src/NonlinearSolveSciPy.jl

@@ -135,7 +135,7 @@ function SciMLBase.__solve(
     end
 
     # Filter out Julia-specific kwargs that scipy doesn't understand
-    scipy_kwargs = Tuple(k => v for (k, v) in pairs(kwargs) if k ∉ (:alias, :verbose))
+    scipy_kwargs = Tuple(k => v for (k, v) in pairs(kwargs) if k ∉ (:alias, :verbose, :lb, :ub))
 
     # Call scipy with conditional bounds argument
     if bounds === nothing
@@ -189,7 +189,7 @@ function SciMLBase.__solve(prob::SciMLBase.NonlinearProblem, alg::SciPyRoot;
     tol = abstol === nothing ? nothing : abstol
 
     # Filter out Julia-specific kwargs that scipy doesn't understand
-    scipy_kwargs = Tuple(k => v for (k, v) in pairs(kwargs) if k ∉ (:alias, :verbose))
+    scipy_kwargs = Tuple(k => v for (k, v) in pairs(kwargs) if k ∉ (:alias, :verbose, :lb, :ub))
 
     res = scipy_optimize[].root(py_f, collect(u0);
         method = alg.method,
@@ -228,7 +228,7 @@ function CommonSolve.solve(prob::SciMLBase.IntervalNonlinearProblem, alg::SciPyR
     a, b = prob.tspan
 
     # Filter out Julia-specific kwargs that scipy doesn't understand
-    scipy_kwargs = Tuple(k => v for (k, v) in pairs(kwargs) if k ∉ (:alias, :verbose))
+    scipy_kwargs = Tuple(k => v for (k, v) in pairs(kwargs) if k ∉ (:alias, :verbose, :lb, :ub))
 
     res = scipy_optimize[].root_scalar(py_f;
         method = alg.method,