# Source code for binaryninja.functionrecognizer

    # Copyright (c) 2015-2017 Vector 35 LLC
    #
    # 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.

    import traceback

    # Binary Ninja components
    from binaryninja import _binaryninjacore as core
    from binaryninja import function
    from binaryninja import filemetadata
    from binaryninja import binaryview
    from binaryninja import lowlevelil

    class FunctionRecognizer(object):

    	_instance = None

    	def __init__(self):
    		self._cb = core.BNFunctionRecognizer()
    		self._cb.context = 0
    		self._cb.recognizeLowLevelIL = self._cb.recognizeLowLevelIL.__class__(self._recognize_low_level_il)
    		self._cb.recognizeMediumLevelIL = self._cb.recognizeMediumLevelIL.__class__(self._recognize_medium_level_il)

    	@classmethod
    	def register_global(cls):
    		if cls._instance is None:
    			cls._instance = cls()
    		core.BNRegisterGlobalFunctionRecognizer(cls._instance._cb)

    	@classmethod
    	def register_arch(cls, arch):
    		if cls._instance is None:
    			cls._instance = cls()
    		core.BNRegisterArchitectureFunctionRecognizer(arch.handle, cls._instance._cb)

    	def _recognize_low_level_il(self, ctxt, data, func, il):
    		try:
    			file_metadata = filemetadata.FileMetadata(handle = core.BNGetFileForView(data))
    			view = binaryview.BinaryView(file_metadata = file_metadata, handle = core.BNNewViewReference(data))
    			func = function.Function(view, handle = core.BNNewFunctionReference(func))
    			il = lowlevelil.LowLevelILFunction(func.arch, handle = core.BNNewLowLevelILFunctionReference(il))
    			return self.recognize_low_level_il(view, func, il)
    		except:
    			log.log_error(traceback.format_exc())
    			return False

    	def recognize_low_level_il(self, data, func, il):
    		return False

    	def _recognize_medium_level_il(self, ctxt, data, func, il):
    		try:
    			file_metadata = filemetadata.FileMetadata(handle = core.BNGetFileForView(data))
    			view = binaryview.BinaryView(file_metadata = file_metadata, handle = core.BNNewViewReference(data))
    			func = function.Function(view, handle = core.BNNewFunctionReference(func))
    			il = mediumlevelil.MediumLevelILFunction(func.arch, handle = core.BNNewMediumLevelILFunctionReference(il))
    			return self.recognize_medium_level_il(view, func, il)
    		except:
    			log.log_error(traceback.format_exc())
    			return False

    	def recognize_medium_level_il(self, data, func, il):
    		return False