restore driving logic to pre-variable-fps baseline

Wholesale revert of driving-relevant files to the snapshot in
/projects/openpilot/archive/clearpilot (HEAD 980f0aa). Goal: get
known-good driving behavior back, then re-introduce optimizations
slowly to track down a "feels like the wheel pulls right" regression.

Files restored from baseline:
- selfdrive/controls/controlsd.py
- selfdrive/controls/lib/events.py
- selfdrive/controls/lib/longitudinal_planner.py
- selfdrive/modeld/modeld.py
- selfdrive/modeld/dmonitoringmodeld.py
- selfdrive/locationd/calibrationd.py
- selfdrive/locationd/paramsd.py
- selfdrive/locationd/torqued.py
- selfdrive/car/interfaces.py
- selfdrive/car/hyundai/carstate.py (CAN-FD telemetry preserved as a
  commented block for future re-enable)
- selfdrive/monitoring/dmonitoringd.py
- selfdrive/frogpilot/controls/frogpilot_planner.py
- common/realtime.py

Intentionally NOT restored (kept as current):
- selfdrive/thermald/* (fan/power tuning kept)
- selfdrive/car/hyundai/carcontroller.py + hyundaicanfd.py (perf-only
  hoist of no_lat_lane_change Params read; behavior-equivalent)
- cereal/services.py, cereal/custom.capnp (additive only)
- selfdrive/manager/*, common/params.cc (heavy ClearPilot
  infrastructure: bench mode, log dir, dashcamd, gpsd, params)
- All selfdrive/ui/, selfdrive/clearpilot/, system/clearpilot/

UI features will be re-wired in a follow-up commit.

Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>

selfdrive/modeld/dmonitoringmodeld.py

@@ -128,14 +128,10 @@ def main():
   assert vipc_client.is_connected()
   cloudlog.warning(f"connected with buffer size: {vipc_client.buffer_len}")
 
-  sm = SubMaster(["liveCalibration", "carState"])
+  sm = SubMaster(["liveCalibration"])
   pm = PubMaster(["driverStateV2"])
 
   calib = np.zeros(CALIB_LEN, dtype=np.float32)
-  # CLEARPILOT: cache last model output so we can republish (not re-infer) at standstill.
-  # Saves ~7% CPU; downstream dmonitoringd sees a steady 10Hz stream with known-good
-  # last readings (driver can't become distracted relative to a stopped car).
-  last_model_output = None
   # last = 0
 
   while True:
@@ -147,16 +143,8 @@ def main():
     if sm.updated["liveCalibration"]:
       calib[:] = np.array(sm["liveCalibration"].rpyCalib)
 
-    standstill = sm["carState"].standstill
-
     t1 = time.perf_counter()
-    if standstill and last_model_output is not None:
-      # CLEARPILOT: reuse last inference at standstill
-      model_output = last_model_output
-      dsp_execution_time = 0.0
-    else:
-      model_output, dsp_execution_time = model.run(buf, calib)
-      last_model_output = model_output
+    model_output, dsp_execution_time = model.run(buf, calib)
     t2 = time.perf_counter()
 
     pm.send("driverStateV2", get_driverstate_packet(model_output, vipc_client.frame_id, vipc_client.timestamp_sof, t2 - t1, dsp_execution_time))

selfdrive/modeld/modeld.py

@@ -134,15 +134,11 @@ def main(demo=False):
   setproctitle(PROCESS_NAME)
   config_realtime_process(7, 54)
 
-  import time as _time
   cloudlog.warning("setting up CL context")
-  _t0 = _time.monotonic()
   cl_context = CLContext()
-  _t1 = _time.monotonic()
-  cloudlog.warning("CL context ready in %.3fs; loading model", _t1 - _t0)
+  cloudlog.warning("CL context ready; loading model")
   model = ModelState(cl_context)
-  _t2 = _time.monotonic()
-  cloudlog.warning("model loaded in %.3fs (total init %.3fs), modeld starting", _t2 - _t1, _t2 - _t0)
+  cloudlog.warning("models loaded, modeld starting")
 
   # visionipc clients
   while True:
@@ -183,9 +179,6 @@ def main(demo=False):
   model_transform_main = np.zeros((3, 3), dtype=np.float32)
   model_transform_extra = np.zeros((3, 3), dtype=np.float32)
   live_calib_seen = False
-  model_standby = False
-  last_standby_ts_write = 0
-  params_memory = Params("/dev/shm/params")
   nav_features = np.zeros(ModelConstants.NAV_FEATURE_LEN, dtype=np.float32)
   nav_instructions = np.zeros(ModelConstants.NAV_INSTRUCTION_LEN, dtype=np.float32)
   buf_main, buf_extra = None, None
@@ -240,33 +233,6 @@ def main(demo=False):
       meta_extra = meta_main
 
     sm.update(0)
-
-    # CLEARPILOT: two-state modeld — 0fps only when parked (ignition-on means
-    # engine running in park; ignition-off stops modeld at the manager level).
-    # Standstill in drive (red light) keeps running so lateral stays responsive
-    # and liveCalibration/paramsd observations continue.
-    parked = sm['carState'].gearShifter == car.CarState.GearShifter.park
-    should_standby = parked
-    if should_standby and not model_standby:
-      params_memory.put_bool("ModelStandby", True)
-      params_memory.put("ModelFps", "0")
-      model_standby = True
-      cloudlog.warning("modeld: standby ON")
-    elif not should_standby and model_standby:
-      params_memory.put_bool("ModelStandby", False)
-      params_memory.put("ModelFps", "20")
-      model_standby = False
-      run_count = 0
-      frame_dropped_filter.x = 0.
-      cloudlog.warning("modeld: standby OFF")
-    if model_standby:
-      now = _time.monotonic()
-      if now - last_standby_ts_write > 1.0:
-        params_memory.put("ModelStandbyTs", str(now))
-        last_standby_ts_write = now
-      last_vipc_frame_id = meta_main.frame_id
-      continue
-
     desire = DH.desire
     is_rhd = sm["driverMonitoringState"].isRHD
     frame_id = sm["roadCameraState"].frameId