remove print statements

botorch/optim/core.py

@@ -98,11 +98,9 @@ def scipy_minimize(
         call_counter = count(1)  # callbacks are typically made at the end of each iter
 
         def wrapped_callback(x: ndarray):
-            fval = float(wrapped_closure(x)[0])
-            print(f"{fval=}")
             result = OptimizationResult(
                 step=next(call_counter),
-                fval=fval,
+                fval=float(wrapped_closure(x)[0]),
                 status=OptimizationStatus.RUNNING,
                 runtime=monotonic() - start_time,
             )
@@ -118,8 +116,6 @@ def wrapped_callback(x: ndarray):
         callback=wrapped_callback,
         timeout_sec=timeout_sec,
     )
-    print(f"{raw=}")
-    print(f"{raw.message=}")
 
     # Post-processing and outcome handling
     wrapped_closure.state = asarray(raw.x)  # set parameter state to optimal values

botorch/optim/utils/timeout.py

@@ -46,7 +46,6 @@ def minimize_with_timeout(
 
         def timeout_callback(xk: np.ndarray) -> bool:
             runtime = time.monotonic() - start_time
-            print(f"{runtime=}")
             callback_data["num_iterations"] += 1
             if runtime > timeout_sec:
                 raise OptimizationTimeoutError(current_x=xk, runtime=runtime)

test/optim/test_core.py

@@ -83,8 +83,6 @@ def test_timeout(self):
         # adding a small delay here to combat some timing issues on windows
         closure = partial(norm_squared, x, delay=1e-2)
         result = scipy_minimize(closure, {"x": x}, timeout_sec=1e-4)
-        print(f"{result=}")
-        print(f"{result.message=}")
         self.assertEqual(result.status, OptimizationStatus.STOPPED)
         self.assertTrue("Optimization timed out after" in result.message)