def preSolve_updateProgress(prog_fn, status_fn):
LOG.debug('preSolve_updateProgress')
# Start up solver
collectionutils.run_progress_func(prog_fn, 0)
ts = solveresult.format_timestamp(time.time())
collectionutils.run_status_func(status_fn, 'Solve start (%s)' % ts)
api_state.set_solver_running(True)
return
def preSolve_updateProgress(prog_fn, status_fn):
"""
Initialise solver is running, and send info to the Maya GUI before
a solve starts.
:param prog_fn: Function to use for printing progress messages.
:type prog_fn: callable or None
:param status_fn: Function to use for printing status messages.
:type status_fn: callable or None
"""
# Start up solver
collectionutils.run_progress_func(prog_fn, 0)
ts = solveresult.format_timestamp(time.time())
collectionutils.run_status_func(status_fn, 'Solve start (%s)' % ts)
api_state.set_solver_running(True)
return
def postSolve_setUpdateProgress(progress_min,
progress_value,
progress_max,
solres, # SolveResult or None
prog_fn, status_fn):
LOG.debug(
'postSolve_setUpdateProgress: '
'progress_min=%r '
'progress_value=%r '
'progress_max=%r '
'solres=%r '
'prog_fn=%r '
'status_fn=%r',
progress_min,
progress_value,
progress_max,
solres,
prog_fn, status_fn)
stop_solving = False
# Update progress
ratio = float(progress_value) / float(progress_max)
percent = float(progress_min) + (ratio * (100.0 - progress_min))
collectionutils.run_progress_func(prog_fn, int(percent))
# Check if the user wants to stop solving.
if solres is None:
cmd_cancel = False
else:
cmd_cancel = solres.get_user_interrupted()
gui_cancel = api_state.get_user_interrupt()
if cmd_cancel is True or gui_cancel is True:
msg = 'Cancelled by User'
api_state.set_user_interrupt(False)
collectionutils.run_status_func(status_fn, 'WARNING: ' + msg)
LOG.warning(msg)
stop_solving = True
if (solres is not None) and (solres.get_success() is False):
msg = 'Solver failed!!!'
collectionutils.run_status_func(status_fn, 'ERROR: ' + msg)
LOG.error(msg)
return stop_solving
def execute(
self,
verbose=False,
# TODO: Refactor arguments into a 'Preferences' object
# to hold the different preferences.
refresh=False,
force_update=False,
do_isolate=False,
# TODO: Allow a dict to be passed to the function
# specifying the object type and the visibility status
# during solving. This allows us to turn on/off any
# object type during solving. If an argument is not
# given or is None, the object type visibility will
# not be changed.
display_image_plane=False,
prog_fn=None,
status_fn=None,
info_fn=None):
"""
Compile the collection, then pass that data to the 'mmSolver' command.
The mmSolver command will return a list of strings, which will then be
passed to the SolveResult class so the user can query the raw data
using an interface.
:param verbose: Print extra solver information while a solve is
running.
:type verbose: bool
:param refresh: Should the solver refresh the viewport while
solving?
:type refresh: bool
:param force_update: Force updating the DG network, to help the
solver in case of a Maya evaluation DG bug.
:type force_update: bool
:param do_isolate: Isolate only solving objects while running solve.
:type do_isolate: bool
:param display_image_plane: Display Image Planes while solving?
:type display_image_plane: bool
:param prog_fn: The function used report progress messages to
the user.
:type prog_fn: callable or None
:param status_fn: The function used to report status messages
to the user.
:type status_fn: callable or None
:param info_fn: The function used to report information
messages to the user.
:type info_fn: callable or None
:return: List of SolveResults from the executed collection.
:rtype: [SolverResult, ..]
"""
start_time = time.time()
# Ensure the plug-in is loaded, so we fail before trying to run.
api_utils.load_plugin()
# If 'refresh' is 'on' change all viewports to 'isolate
# selected' on only the markers and bundles being solved. This
# will speed up computations, especially per-frame solving as
# it will not re-compute any invisible nodes (such as rigs or
# image planes).
panel_objs = {}
panel_img_pl_vis = {}
panels = viewport_utils.get_all_model_panels()
if refresh is True:
for panel in panels:
if do_isolate is True:
state = maya.cmds.isolateSelect(panel,
query=True,
state=True)
nodes = None
if state is True:
nodes = viewport_utils.get_isolated_nodes(panel)
panel_objs[panel] = nodes
panel_img_pl_vis[
panel] = viewport_utils.get_image_plane_visibility(panel)
# Save current frame, to revert to later on.
cur_frame = maya.cmds.currentTime(query=True)
try:
collectionutils.run_progress_func(prog_fn, 0)
ts = solveresult.format_timestamp(time.time())
collectionutils.run_status_func(status_fn, 'Solve start (%s)' % ts)
api_state.set_solver_running(True)
# Check for validity
solres_list = []
if self.is_valid() is False:
LOG.warning('Collection not valid: %r', self.get_node())
return solres_list
kwargs_list = self._compile()
collectionutils.run_progress_func(prog_fn, 1)
# Isolate all nodes used in all of the kwargs to be run.
# Note; This assumes the isolated objects are visible, but
# they may actually be hidden.
if refresh is True:
s = time.time()
if do_isolate is True:
isolate_nodes = set()
for kwargs in kwargs_list:
isolate_nodes |= collectionutils.generate_isolate_nodes(
kwargs)
if len(isolate_nodes) == 0:
raise excep.NotValid
isolate_node_list = list(isolate_nodes)
for panel in panels:
viewport_utils.set_isolated_nodes(
panel, isolate_node_list, True)
for panel in panels:
viewport_utils.set_image_plane_visibility(
panel, display_image_plane)
e = time.time()
LOG.debug('Perform Pre-Isolate; time=%r', e - s)
# Set the first current time to the frame before current.
# This is to help trigger evaluations on the 'current
# frame', if the current frame is the same as the first
# frame.
frame_list = []
for kwargs in kwargs_list:
frame_list += kwargs.get('frame', [])
frame_list = list(set(frame_list))
frame_list = list(sorted(frame_list))
is_whole_solve_single_frame = len(frame_list) == 1
if is_whole_solve_single_frame is False:
s = time.time()
maya.cmds.currentTime(
cur_frame - 1,
edit=True,
update=force_update,
)
e = time.time()
LOG.debug('Update previous of current time; time=%r', e - s)
# Run Solver...
marker_nodes = []
start = 0
total = len(kwargs_list)
for i, kwargs in enumerate(kwargs_list):
frame = kwargs.get('frame')
collectionutils.run_status_func(info_fn,
'Evaluating frames %r' % frame)
if frame is None or len(frame) == 0:
raise excep.NotValid
# Write solver flags to a debug file.
debug_file_path = kwargs.get('debugFile', None)
if debug_file_path is not None:
options_file_path = debug_file_path.replace(
'.log', '.flags')
text = pprint.pformat(kwargs)
with open(options_file_path, 'w') as file_:
file_.write(text)
# HACK: Overriding the verbosity, irrespective of what
# the solver verbosity value is set to.
if verbose is True:
kwargs['verbose'] = True
# HACK for single frame solves.
save_node_attrs = []
is_single_frame = collectionutils.is_single_frame(kwargs)
if is_single_frame is True:
save_node_attrs = collectionutils.disconnect_animcurves(
kwargs)
# Run Solver Maya plug-in command
solve_data = maya.cmds.mmSolver(**kwargs)
# Revert special HACK for single frame solves
if is_single_frame is True:
collectionutils.reconnect_animcurves(
kwargs, save_node_attrs)
# Create SolveResult.
solres = solveresult.SolveResult(solve_data)
solres_list.append(solres)
# Update progress
ratio = float(i) / float(total)
percent = float(start) + (ratio * (100.0 - start))
collectionutils.run_progress_func(prog_fn, int(percent))
# Check if the user wants to stop solving.
cmd_cancel = solres.get_user_interrupted()
gui_cancel = api_state.get_user_interrupt()
if cmd_cancel is True or gui_cancel is True:
msg = 'Cancelled by User'
api_state.set_user_interrupt(False)
collectionutils.run_status_func(status_fn,
'WARNING: ' + msg)
LOG.warning(msg)
break
if solres.get_success() is False:
msg = 'Solver failed!!!'
collectionutils.run_status_func(status_fn, 'ERROR: ' + msg)
LOG.error(msg)
marker_nodes += [x[0] for x in kwargs.get('marker', [])]
# Refresh the Viewport.
if refresh is True:
# TODO: If we solve per-frame without "refresh"
# on, then we get wacky solvers
# per-frame. Interestingly, the 'force_update'
# does not seem to make a difference, just the
# 'maya.cmds.refresh' call.
#
# Test scene file:
# ./tests/data/scenes/mmSolverBasicSolveD_before.ma
s = time.time()
maya.cmds.currentTime(
frame[0],
edit=True,
update=force_update,
)
maya.cmds.refresh()
e = time.time()
LOG.debug('Refresh Viewport; time=%r', e - s)
finally:
if refresh is True:
s = time.time()
for panel, objs in panel_objs.items():
if objs is None:
# No original objects, disable 'isolate
# selected' after resetting the objects.
if do_isolate is True:
viewport_utils.set_isolated_nodes(panel, [], False)
img_pl_vis = panel_img_pl_vis.get(panel, True)
viewport_utils.set_image_plane_visibility(
panel, img_pl_vis)
else:
if do_isolate is True:
viewport_utils.set_isolated_nodes(
panel, list(objs), True)
e = time.time()
LOG.debug('Finally; reset isolate selected; time=%r', e - s)
collectionutils.run_status_func(status_fn, 'Solve Ended')
collectionutils.run_progress_func(prog_fn, 100)
api_state.set_solver_running(False)
maya.cmds.currentTime(cur_frame, edit=True, update=True)
# Store output information of the solver.
end_time = time.time()
duration = end_time - start_time
self._set_last_solve_timestamp(end_time)
self._set_last_solve_duration(duration)
self._set_last_solve_results(solres_list)
return solres_list
def execute(col,
options=None,
validate_mode=None,
log_level=None,
prog_fn=None,
status_fn=None,
info_fn=None):
"""
Compile the collection, then pass that data to the 'mmSolver' command.
The mmSolver command will return a list of strings, which will then be
passed to the SolveResult class so the user can query the raw data
using an interface.
:param col: The Collection to execute.
:type col: Collection
:param options: The options for the execution.
:type options: ExecuteOptions
:param validate_mode: How should the solve validate? Must be one of
the VALIDATE_MODE_VALUE_LIST values.
:type validate_mode: str or None
:param log_level: The log level for the execution.
:type log_level: str
:param prog_fn: The function used report progress messages to
the user.
:type prog_fn: callable or None
:param status_fn: The function used to report status messages
to the user.
:type status_fn: callable or None
:param info_fn: The function used to report information
messages to the user.
:type info_fn: callable or None
:return: List of SolveResults from the executed collection.
:rtype: [SolverResult, ..]
"""
if options is None:
options = createExecuteOptions()
if validate_mode is None:
validate_mode = const.VALIDATE_MODE_NONE_VALUE
assert validate_mode in const.VALIDATE_MODE_VALUE_LIST
if log_level is None:
log_level = const.LOG_LEVEL_DEFAULT
assert isinstance(log_level, (str, unicode))
start_time = time.time()
# Ensure the plug-in is loaded, so we fail before trying to run.
api_utils.load_plugin()
assert 'mmSolver' in dir(maya.cmds)
vp2_state = viewport_utils.get_viewport2_active_state()
panels = viewport_utils.get_all_model_panels()
panel_objs, panel_node_type_vis = preSolve_queryViewportState(
options, panels
)
# Save current frame, to revert to later on.
cur_frame = maya.cmds.currentTime(query=True)
try:
if options.disable_viewport_two is True:
viewport_utils.set_viewport2_active_state(False)
preSolve_updateProgress(prog_fn, status_fn)
# Check for validity and compile actions.
solres_list = []
withtest = validate_mode in [const.VALIDATE_MODE_PRE_VALIDATE_VALUE,
const.VALIDATE_MODE_AT_RUNTIME_VALUE]
col_node = col.get_node()
sol_list = col.get_solver_list()
mkr_list = col.get_marker_list()
attr_list = col.get_attribute_list()
try:
s = time.time()
action_list, vaction_list = api_compile.collection_compile(
col_node,
sol_list,
mkr_list,
attr_list,
withtest=withtest,
prog_fn=prog_fn,
status_fn=status_fn
)
e = time.time()
LOG.debug('compile time (execute): %r', e - s)
except excep.NotValid as e:
LOG.warning(e)
return solres_list
collectionutils.run_progress_func(prog_fn, 1)
if validate_mode == 'pre_validate':
valid, msg, metrics_list = _run_validate_action_list(vaction_list)
if valid is not True:
LOG.warning(msg)
return solres_list
# Prepare frame solve
preSolve_setIsolatedNodes(action_list, options, panels)
preSolve_triggerEvaluation(action_list, cur_frame, options)
# Run Solver Actions...
start = 0
total = len(action_list)
for i, (action, vaction) in enumerate(zip(action_list, vaction_list)):
if isinstance(vaction, api_action.Action) and validate_mode == 'at_runtime':
valid, message, metrics = _run_validate_action(vaction)
if valid is not True:
LOG.warn(message)
return
func, args, kwargs = api_action.action_to_components(action)
func_is_mmsolver = api_action.action_func_is_mmSolver(action)
save_node_attrs = None
is_single_frame = None
if func_is_mmsolver is True:
frame = kwargs.get('frame')
collectionutils.run_status_func(info_fn, 'Evaluating frames %r' % frame)
if frame is None or len(frame) == 0:
raise excep.NotValid
# Write solver flags to a debug file.
debug_file_path = kwargs.get('debugFile', None)
if debug_file_path is not None:
options_file_path = debug_file_path.replace('.log', '.flags')
text = pprint.pformat(kwargs)
with open(options_file_path, 'w') as file_:
file_.write(text)
# Overriding the verbosity, irrespective of what
# the solver verbosity value is set to.
if log_level is not None and log_level.lower() == 'verbose':
kwargs['verbose'] = True
# HACK for single frame solves.
save_node_attrs = []
is_single_frame = collectionutils.is_single_frame(kwargs)
if is_single_frame is True:
save_node_attrs = collectionutils.disconnect_animcurves(kwargs)
# Run Solver Maya plug-in command
solve_data = func(*args, **kwargs)
# Revert special HACK for single frame solves
if func_is_mmsolver is True:
if is_single_frame is True:
collectionutils.reconnect_animcurves(kwargs, save_node_attrs)
# Create SolveResult.
solres = None
if solve_data is not None and func_is_mmsolver is True:
solres = solveresult.SolveResult(solve_data)
solres_list.append(solres)
# Update Progress
interrupt = postSolve_setUpdateProgress(
start, i, total, solres,
prog_fn, status_fn
)
if interrupt is True:
break
# Refresh the Viewport.
if func_is_mmsolver is True:
frame = kwargs.get('frame')
postSolve_refreshViewport(options, frame)
finally:
postSolve_setViewportState(
options, panel_objs, panel_node_type_vis
)
collectionutils.run_status_func(status_fn, 'Solve Ended')
collectionutils.run_progress_func(prog_fn, 100)
api_state.set_solver_running(False)
if options.disable_viewport_two is True:
viewport_utils.set_viewport2_active_state(vp2_state)
maya.cmds.currentTime(
cur_frame,
edit=True,
update=options.force_update
)
# Store output information of the solver.
end_time = time.time()
duration = end_time - start_time
col._set_last_solve_timestamp(end_time)
col._set_last_solve_duration(duration)
col._set_last_solve_results(solres_list)
return solres_list
def postSolve_setUpdateProgress(progress_min,
progress_value,
progress_max,
solres,
prog_fn, status_fn):
"""
Update the Maya GUI with progress information, and detects users
wanting to cancel the solve.
:param progress_min:
Minimum progress number possible.
Usually the number is 0.
:type progress_min: int
:param progress_value:
The actual progress value.
The value is usually between 0 and 100 (inclusive).
:type progress_value: int
:param progress_max:
THe maximum progress number possible.
Usually the number is 100.
:type progress_max: int
:param solres:
The SolveResult object for the last solved state.
:type solres: SolveResult or None
:param prog_fn: The function used report progress messages to
the user.
:type prog_fn: callable or None
:param status_fn: The function used to report status messages
to the user.
:type status_fn: callable or None
:returns:
Should the solver stop executing or not? Has the user
cancelled the solve?
:rtype: bool
"""
stop_solving = False
# Update progress
ratio = float(progress_value) / float(progress_max)
percent = float(progress_min) + (ratio * (100.0 - progress_min))
collectionutils.run_progress_func(prog_fn, int(percent))
# Check if the user wants to stop solving.
if solres is None:
cmd_cancel = False
else:
cmd_cancel = solres.get_user_interrupted()
gui_cancel = api_state.get_user_interrupt()
if cmd_cancel is True or gui_cancel is True:
msg = 'Cancelled by User'
api_state.set_user_interrupt(False)
collectionutils.run_status_func(status_fn, 'WARNING: ' + msg)
LOG.warn(msg)
stop_solving = True
if (solres is not None) and (solres.get_success() is False):
msg = 'Solver failed!!!'
collectionutils.run_status_func(status_fn, 'ERROR: ' + msg)
LOG.error(msg)
return stop_solving
def execute(col,
options=None,
validate_mode=None,
log_level=None,
prog_fn=None,
status_fn=None,
info_fn=None):
"""
Compile the collection, then pass that data to the 'mmSolver' command.
The mmSolver command will return a list of strings, which will then be
passed to the SolveResult class so the user can query the raw data
using an interface.
:param col: The Collection to execute.
:type col: Collection
:param options: The options for the execution.
:type options: ExecuteOptions
:param validate_mode: How should the solve validate? Must be one of
the VALIDATE_MODE_VALUE_LIST values.
:type validate_mode: str or None
:param log_level: The log level for the execution.
:type log_level: str
:param prog_fn: The function used report progress messages to
the user.
:type prog_fn: callable or None
:param status_fn: The function used to report status messages
to the user.
:type status_fn: callable or None
:param info_fn: The function used to report information
messages to the user.
:type info_fn: callable or None
:return: List of SolveResults from the executed collection.
:rtype: [SolverResult, ..]
"""
if options is None:
options = createExecuteOptions()
if validate_mode is None:
validate_mode = const.VALIDATE_MODE_PRE_VALIDATE_VALUE
assert validate_mode in const.VALIDATE_MODE_VALUE_LIST
if log_level is None:
log_level = const.LOG_LEVEL_DEFAULT
assert isinstance(log_level, pycompat.TEXT_TYPE)
validate_runtime = validate_mode == const.VALIDATE_MODE_AT_RUNTIME_VALUE
validate_before = validate_mode == const.VALIDATE_MODE_PRE_VALIDATE_VALUE
start_time = time.time()
# Ensure the plug-in is loaded, so we (do not) fail before trying
# to run.
api_utils.load_plugin()
assert 'mmSolver' in dir(maya.cmds)
vp2_state = viewport_utils.get_viewport2_active_state()
current_eval_manager_mode = maya.cmds.evaluationManager(query=True,
mode=True)
panels = viewport_utils.get_all_model_panels()
panel_objs, panel_node_type_vis = preSolve_queryViewportState(
options, panels)
# Save scene state, to revert to later on.
cur_frame = maya.cmds.currentTime(query=True)
prev_auto_key_state = maya.cmds.autoKeyframe(query=True, state=True)
prev_cycle_check = maya.cmds.cycleCheck(query=True, evaluation=True)
# State information needed to revert reconnect animation curves in
# 'finally' block.
kwargs = {}
save_node_attrs = []
func_is_mmsolver = False
is_single_frame = False
try:
if options.disable_viewport_two is True:
viewport_utils.set_viewport2_active_state(False)
maya.cmds.autoKeyframe(edit=True, state=False)
maya.cmds.evaluationManager(mode='off')
maya.cmds.cycleCheck(evaluation=False)
preSolve_updateProgress(prog_fn, status_fn)
# Check for validity and compile actions.
solres_list = []
withtest = validate_mode in [
const.VALIDATE_MODE_PRE_VALIDATE_VALUE,
const.VALIDATE_MODE_AT_RUNTIME_VALUE
]
sol_list = col.get_solver_list()
mkr_list = col.get_marker_list()
attr_list = col.get_attribute_list()
try:
action_list, vaction_list = api_compile.collection_compile(
col,
sol_list,
mkr_list,
attr_list,
withtest=withtest,
prog_fn=prog_fn,
status_fn=status_fn)
except excep.NotValid as e:
LOG.warn(e)
return solres_list
collectionutils.run_progress_func(prog_fn, 1)
vaction_state_list = []
if validate_before is True:
vaction_state_list = _run_validate_action_list(vaction_list)
assert len(vaction_list) == len(vaction_state_list)
# Prepare frame solve
preSolve_setIsolatedNodes(action_list, options, panels)
preSolve_triggerEvaluation(action_list, cur_frame, options)
# Ensure prediction attributes are created and initialised.
collectionutils.set_initial_prediction_attributes(
col, attr_list, cur_frame)
# Run Solver Actions...
message_hashes = set()
start = 0
total = len(action_list)
number_of_solves = 0
for i, (action, vaction) in enumerate(zip(action_list, vaction_list)):
state = None
if len(vaction_state_list) > 0:
# We have pre-computed the state list.
state = vaction_state_list[i]
if isinstance(vaction, api_action.Action) and validate_runtime:
# We will calculate the state just-in-time.
state = _run_validate_action(vaction)
if state is not None:
if state.status != const.ACTION_STATUS_SUCCESS:
assert isinstance(state, ActionState)
h = hash(state.message)
if h not in message_hashes:
LOG.warn(state.message)
message_hashes.add(h)
# Skip this action, since the test failed.
continue
func, args, kwargs = api_action.action_to_components(action)
func_is_mmsolver = api_action.action_func_is_mmSolver(action)
if func_is_mmsolver is True:
frame = kwargs.get('frame')
collectionutils.run_status_func(info_fn,
'Evaluating frames %r' % frame)
if frame is None or len(frame) == 0:
raise excep.NotValid
# Write solver flags to a debug file.
debug_file_path = kwargs.get('debugFile', None)
if debug_file_path is not None:
options_file_path = debug_file_path.replace(
'.log', '.flags')
text = pprint.pformat(kwargs)
with open(options_file_path, 'w') as file_:
file_.write(text)
# Overriding the verbosity, irrespective of what the
# solver verbosity value is set to.
kwargs['verbose'] = False
if log_level is not None and log_level.lower() == 'verbose':
kwargs['verbose'] = True
# HACK for single frame solves.
is_single_frame = collectionutils.is_single_frame(kwargs)
if is_single_frame is True:
save_node_attrs = collectionutils.disconnect_animcurves(
kwargs)
else:
# Reset the data structure so in the 'finally'
# block we can detect animcurves are not needing
# to be reset.
save_node_attrs = []
# Run Solver Maya plug-in command
solve_data = func(*args, **kwargs)
# Revert special HACK for single frame solves
if func_is_mmsolver is True:
if is_single_frame is True:
collectionutils.reconnect_animcurves(
kwargs, save_node_attrs)
# Reset the data structure so in the 'finally'
# block we can detect animcurves are not needing
# to be reset.
save_node_attrs = []
# Create SolveResult.
solres = None
if solve_data is not None and func_is_mmsolver is True:
solres = solveresult.SolveResult(solve_data)
solres_list.append(solres)
if func_is_mmsolver is True and solres.get_success() is True:
frame = kwargs.get('frame')
if frame is None or len(frame) == 0:
raise excep.NotValid
single_frame = frame[0]
if number_of_solves == 0:
collectionutils.set_initial_prediction_attributes(
col, attr_list, single_frame)
# Count number of solves, so we don't need to set the
# initial prediction attributes again.
number_of_solves += 1
# Calculate the mean, variance values, and predict the
# next attribute value.
collectionutils.compute_attribute_value_prediction(
col,
attr_list,
single_frame,
)
# Update Progress
interrupt = postSolve_setUpdateProgress(start, i, total, solres,
prog_fn, status_fn)
if interrupt is True:
break
# Refresh the Viewport.
if func_is_mmsolver is True:
frame = kwargs.get('frame')
postSolve_refreshViewport(options, frame)
finally:
# If something has gone wrong, or the user cancels the solver
# without finishing, then we make sure to reconnect animcurves
# that were disconnected for single frame solves.
if func_is_mmsolver is True and is_single_frame is True:
if len(save_node_attrs):
collectionutils.reconnect_animcurves(kwargs, save_node_attrs)
postSolve_setViewportState(options, panel_objs, panel_node_type_vis)
collectionutils.run_status_func(status_fn, 'Solve Ended')
collectionutils.run_progress_func(prog_fn, 100)
maya.cmds.evaluationManager(mode=current_eval_manager_mode[0])
maya.cmds.cycleCheck(evaluation=prev_cycle_check)
maya.cmds.autoKeyframe(edit=True, state=prev_auto_key_state)
api_state.set_solver_running(False)
if options.disable_viewport_two is True:
viewport_utils.set_viewport2_active_state(vp2_state)
maya.cmds.currentTime(cur_frame,
edit=True,
update=options.force_update)
# Store output information of the solver.
end_time = time.time()
duration = end_time - start_time
col._set_last_solve_timestamp(end_time)
col._set_last_solve_duration(duration)
col._set_last_solve_results(solres_list)
return solres_list
