def makeOptimizationPass():
"""Make a single pass for optimization, indication potential completion."""
# Controls complex optimization
finished = True
ModuleRegistry.startTraversal()
_restartProgress()
while True:
current_module = ModuleRegistry.nextModule()
if current_module is None:
break
_traceProgress(current_module)
# The tag set is global, so it can react to changes without context.
# pylint: disable=global-statement
global tag_set
tag_set = TagSet()
changed = optimizeModule(current_module)
if changed:
finished = False
# Unregister collection traces from now unused code, dropping the trace
# collections of functions no longer used. This must be done after global
# optimization due to cross module usages.
for current_module in ModuleRegistry.getDoneModules():
if current_module.isCompiledPythonModule():
for unused_function in current_module.getUnusedFunctions():
Variables.updateVariablesFromCollection(
old_collection=unused_function.trace_collection,
new_collection=None,
source_ref=unused_function.getSourceReference(),
)
unused_function.trace_collection = None
used_functions = tuple(
function
for function in current_module.subnode_functions
if function in current_module.getUsedFunctions()
)
current_module.setChild("functions", used_functions)
_endProgress()
return finished
def makeOptimizationPass():
"""Make a single pass for optimization, indication potential completion."""
# Controls complex optimization
finished = True
ModuleRegistry.startTraversal()
_restartProgress()
while True:
current_module = ModuleRegistry.nextModule()
if current_module is None:
# TODO: Internal module seems to cause extra passes.
# optimizeModule(getInternalModule())
break
_traceProgressModuleStart(current_module)
changed = optimizeModule(current_module)
_traceProgressModuleEnd(current_module)
if changed:
finished = False
# Unregister collection traces from now unused code, dropping the trace
# collections of functions no longer used. This must be done after global
# optimization due to cross module usages.
for current_module in ModuleRegistry.getDoneModules():
if current_module.isCompiledPythonModule():
for unused_function in current_module.getUnusedFunctions():
Variables.updateVariablesFromCollection(
old_collection=unused_function.trace_collection,
new_collection=None,
source_ref=unused_function.getSourceReference(),
)
unused_function.trace_collection = None
used_functions = tuple(
function
for function in current_module.subnode_functions
if function in current_module.getUsedFunctions()
)
current_module.setChild("functions", used_functions)
_endProgress()
return finished
def updateVariablesFromCollection(self, old_collection):
Variables.updateVariablesFromCollection(old_collection, self)
def updateVariablesFromCollection(self, old_collection, source_ref):
Variables.updateVariablesFromCollection(old_collection, self, source_ref)
def makeOptimizationPass(initial_pass):
""" Make a single pass for optimization, indication potential completion.
"""
# Controls complex optimization, pylint: disable=too-many-branches
finished = True
ModuleRegistry.startTraversal()
if _progress:
if initial_pass:
info("Initial optimization pass.")
else:
info("Next global optimization pass.")
while True:
current_module = ModuleRegistry.nextModule()
if current_module is None:
break
if _progress:
_traceProgress(current_module)
# The tag set is global, so it can react to changes without context.
# pylint: disable=global-statement
global tag_set
tag_set = TagSet()
changed = optimizeModule(current_module)
if changed:
finished = False
# Unregister collection traces from now unused code, dropping the trace
# collections of functions no longer used.
for current_module in ModuleRegistry.getDoneModules():
if current_module.isCompiledPythonModule():
for function in current_module.getUnusedFunctions():
Variables.updateVariablesFromCollection(
old_collection=function.trace_collection,
new_collection=None)
function.trace_collection = None
for current_module in ModuleRegistry.getDoneModules():
if current_module.isCompiledPythonModule():
if optimizeVariables(current_module):
finished = False
used_functions = current_module.getUsedFunctions()
for unused_function in current_module.getUnusedFunctions():
unused_function.trace_collection = None
used_functions = tuple(
function for function in current_module.getFunctions()
if function in used_functions)
current_module.setFunctions(used_functions)
if Variables.complete:
if optimizeLocalsDictsHandles():
finished = False
return finished
def makeOptimizationPass(initial_pass):
""" Make a single pass for optimization, indication potential completion.
"""
# Controls complex optimization, pylint: disable=too-many-branches
finished = True
ModuleRegistry.startTraversal()
if _progress:
if initial_pass:
info("Initial optimization pass.")
else:
info("Next global optimization pass.")
while True:
current_module = ModuleRegistry.nextModule()
if current_module is None:
break
if _progress:
_traceProgress(current_module)
# The tag set is global, so it can react to changes without context.
# pylint: disable=global-statement
global tag_set
tag_set = TagSet()
changed = optimizeModule(current_module)
if changed:
finished = False
# Unregister collection traces from now unused code, dropping the trace
# collections of functions no longer used.
for current_module in ModuleRegistry.getDoneModules():
if current_module.isCompiledPythonModule():
for function in current_module.getUnusedFunctions():
Variables.updateVariablesFromCollection(
old_collection=function.trace_collection, new_collection=None
)
function.trace_collection = None
for current_module in ModuleRegistry.getDoneModules():
if current_module.isCompiledPythonModule():
if optimizeVariables(current_module):
finished = False
used_functions = current_module.getUsedFunctions()
for unused_function in current_module.getUnusedFunctions():
unused_function.trace_collection = None
used_functions = tuple(
function
for function in current_module.getFunctions()
if function in used_functions
)
current_module.setFunctions(used_functions)
if Variables.complete:
if optimizeLocalsDictsHandles():
finished = False
return finished
def updateVariablesFromCollection(self, old_collection):
Variables.updateVariablesFromCollection(old_collection, self)
