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# Copyright (c) 2015-2024 Vector 35 Inc
#
# Permission is hereby granted, free of charge, to any person obtaining a copy
# of this software and associated documentation files (the "Software"), to
# deal in the Software without restriction, including without limitation the
# rights to use, copy, modify, merge, publish, distribute, sublicense, and/or
# sell copies of the Software, and to permit persons to whom the Software is
# furnished to do so, subject to the following conditions:
#
# The above copyright notice and this permission notice shall be included in
# all copies or substantial portions of the Software.
#
# THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
# IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
# FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
# AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
# LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING
# FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS
# IN THE SOFTWARE.
# Binary Ninja components
from . import _binaryninjacore as core
from . import scriptingprovider
from . import plugin
def execute_on_main_thread(func):
"""
The ``execute_on_main_thread`` function takes a single parameter which is a function that will be executed
on the main Binary Ninja thread.
.. warning:: May be required for some GUI operations, but should be used sparingly as it can block the UI.
"""
action = scriptingprovider._ThreadActionContext(func)
obj = core.BNExecuteOnMainThread(0, action.callback)
if obj:
return plugin.MainThreadAction(obj)
return None
def execute_on_main_thread_and_wait(func):
"""
The ``execute_on_main_thread`` function takes a single parameter which is a function that will be
executed on the main Binary Ninja thread and will block execution of further python until the function returns.
.. warning:: May be required for some GUI operations, but should be used sparingly as it can block the UI.
"""
action = scriptingprovider._ThreadActionContext(func)
core.BNExecuteOnMainThreadAndWait(0, action.callback)
def worker_enqueue(func, name=""):
action = scriptingprovider._ThreadActionContext(func)
core.BNWorkerEnqueueNamed(0, action.callback, "Python " + name)
def worker_priority_enqueue(func, name=""):
action = scriptingprovider._ThreadActionContext(func)
core.BNWorkerPriorityEnqueueNamed(0, action.callback, "Python " + name)
def worker_interactive_enqueue(func, name=""):
action = scriptingprovider._ThreadActionContext(func)
core.BNWorkerInteractiveEnqueueNamed(0, action.callback, "Python " + name)
def get_worker_thread_count():
"""
The ``get_worker_thread_count`` function returns the number of worker threads that are currently running.
By default, this is the number of cores on the system minus one, however this can be changed with
``set_worker_thread_count``.
"""
return core.BNGetWorkerThreadCount()
def set_worker_thread_count(count):
"""
The ``set_worker_thread_count`` function sets the number of worker threads that are currently running.
By default, this is the number of cores on the system minus one.
"""
core.BNSetWorkerThreadCount(count)
def is_main_thread():
return core.BNIsMainThread()
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