Address PR NVIDIA#915 review: per-item solver settings, comment cleanup, docs terminology

Signed-off-by: anandhkb <aanandh@nvidia.com>

Author: anandhkb

docs/cuopt/source/cuopt-server/examples/lp-examples.rst

@@ -402,7 +402,9 @@ In case the user needs to update solver settings through CLI, the option ``-ss``
    export port=5000
    cuopt_sh data.json -t LP -i $ip -p $port -ss '{"tolerances": {"optimality": 0.0001}, "time_limit": 5}'
 
-In the case of batch mode, you can send a bunch of ``mps`` files at once, and acquire results. The batch mode works only for ``mps`` in the case of CLI.
+For solving multiple ``mps`` files, you can send them together (they will be
+solved sequentially). This multi-file mode works only for ``mps`` in the case of
+CLI.
 
 .. note::
    LP batch mode is deprecated. Multiple problems are now solved sequentially.

docs/cuopt/source/cuopt-server/examples/lp/examples/batch_mode_example.sh

@@ -1,8 +1,8 @@
 #!/bin/bash
-# SPDX-FileCopyrightText: Copyright (c) 2025 NVIDIA CORPORATION & AFFILIATES. All rights reserved.
+# SPDX-FileCopyrightText: Copyright (c) 2025-2026, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
 # SPDX-License-Identifier: Apache-2.0
 #
-# LP Batch Mode CLI Example
+# Sequential LP Solve CLI Example
 #
 # This example demonstrates how to solve multiple LP problems using MPS files
 # with the cuopt_sh CLI tool. Multiple problems are solved sequentially.
@@ -46,11 +46,11 @@ RHS
 ENDATA
 EOF
 
-echo "=== Solving Multiple MPS Files in Batch Mode ==="
+echo "=== Solving Multiple MPS Files (Sequential LP Solve) ==="
 # Submit multiple MPS files at once
 # -t LP: Problem type
 # -ss: Solver settings (JSON format)
 cuopt_sh "$mps_file" "$mps_file" "$mps_file" -t LP -i $ip -p $port -ss '{"tolerances": {"optimality": 0.0001}, "time_limit": 5}'
 
 echo ""
-echo "Note: Multiple LPs are solved sequentially (batch mode is deprecated)."
+echo "Note: Multiple LPs are solved sequentially."

python/cuopt/cuopt/tests/linear_programming/test_lp_solver.py

@@ -478,8 +478,6 @@ def test_parser_and_batch_solver():
     settings.set_optimality_tolerance(1e-4)
 
     # Call BatchSolve (deprecated; use sequential Solve instead)
-    # DeprecationWarning is emitted when running against a build with the
-    # deprecation; CI asserts it via pytest.warns
     batch_solution, solve_time = solver.BatchSolve(data_model_list, settings)
 
     # Call Solve on each individual data model object

python/cuopt_server/cuopt_server/utils/linear_programming/solver.py

@@ -348,13 +348,13 @@ def create_solution(sol):
             ]
             sol = []
             total_solve_time = 0.0
-            cswarnings, solver_settings = create_solver(
-                LP_data[0], warmstart_data
-            )
-            warnings.extend(cswarnings)
             for i_data in LP_data:
                 i_warnings, data_model = create_data_model(i_data)
                 warnings.extend(i_warnings)
+                cswarnings, solver_settings = create_solver(
+                    i_data, warmstart_data
+                )
+                warnings.extend(cswarnings)
                 i_sol = linear_programming.Solve(
                     data_model, solver_settings=solver_settings
                 )